vertex

package
v8.13.0 Latest Latest
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 Go to latest Published: Jan 7, 2025 License: Apache-2.0 Imports: 7 Imported by: 0

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This section is empty.

Variables

This section is empty.

Functions

This section is empty.

Types

type AiDataset 

type AiDataset struct {
	pulumi.CustomResourceState

	// The timestamp of when the dataset was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringOutput `pulumi:"createTime"`
	// The user-defined name of the Dataset. The name can be up to 128 characters long and can be consist of any UTF-8 characters.
	DisplayName pulumi.StringOutput `pulumi:"displayName"`
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapOutput `pulumi:"effectiveLabels"`
	// Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.
	// Structure is documented below.
	EncryptionSpec AiDatasetEncryptionSpecPtrOutput `pulumi:"encryptionSpec"`
	// A set of key/value label pairs to assign to this Workflow.
	//
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapOutput `pulumi:"labels"`
	// Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
	//
	// ***
	MetadataSchemaUri pulumi.StringOutput `pulumi:"metadataSchemaUri"`
	// The resource name of the Dataset. This value is set by Google.
	Name pulumi.StringOutput `pulumi:"name"`
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringOutput `pulumi:"project"`
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapOutput `pulumi:"pulumiLabels"`
	// The region of the dataset. eg us-central1
	Region pulumi.StringOutput `pulumi:"region"`
	// The timestamp of when the dataset was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringOutput `pulumi:"updateTime"`
}

A collection of DataItems and Annotations on them.

To get more information about Dataset, see:

* [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.datasets) * How-to Guides

## Example Usage

### Vertex Ai Dataset

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiDataset(ctx, "dataset", &vertex.AiDatasetArgs{
			DisplayName:       pulumi.String("terraform"),
			MetadataSchemaUri: pulumi.String("gs://google-cloud-aiplatform/schema/dataset/metadata/image_1.0.0.yaml"),
			Region:            pulumi.String("us-central1"),
			Labels: pulumi.StringMap{
				"env": pulumi.String("test"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

```

## Import

This resource does not support import.

func GetAiDataset 

func GetAiDataset(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiDatasetState, opts ...pulumi.ResourceOption) (*AiDataset, error)

GetAiDataset gets an existing AiDataset resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiDataset 

func NewAiDataset(ctx *pulumi.Context,
	name string, args *AiDatasetArgs, opts ...pulumi.ResourceOption) (*AiDataset, error)

NewAiDataset registers a new resource with the given unique name, arguments, and options.

func (*AiDataset) ElementType 

func (*AiDataset) ElementType() reflect.Type

func (*AiDataset) ToAiDatasetOutput 

func (i *AiDataset) ToAiDatasetOutput() AiDatasetOutput

func (*AiDataset) ToAiDatasetOutputWithContext 

func (i *AiDataset) ToAiDatasetOutputWithContext(ctx context.Context) AiDatasetOutput

type AiDatasetArgs 

type AiDatasetArgs struct {
	// The user-defined name of the Dataset. The name can be up to 128 characters long and can be consist of any UTF-8 characters.
	DisplayName pulumi.StringInput
	// Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.
	// Structure is documented below.
	EncryptionSpec AiDatasetEncryptionSpecPtrInput
	// A set of key/value label pairs to assign to this Workflow.
	//
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
	//
	// ***
	MetadataSchemaUri pulumi.StringInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The region of the dataset. eg us-central1
	Region pulumi.StringPtrInput
}

The set of arguments for constructing a AiDataset resource.

func (AiDatasetArgs) ElementType 

func (AiDatasetArgs) ElementType() reflect.Type

type AiDatasetArray 

type AiDatasetArray []AiDatasetInput

func (AiDatasetArray) ElementType 

func (AiDatasetArray) ElementType() reflect.Type

func (AiDatasetArray) ToAiDatasetArrayOutput 

func (i AiDatasetArray) ToAiDatasetArrayOutput() AiDatasetArrayOutput

func (AiDatasetArray) ToAiDatasetArrayOutputWithContext 

func (i AiDatasetArray) ToAiDatasetArrayOutputWithContext(ctx context.Context) AiDatasetArrayOutput

type AiDatasetArrayInput 

type AiDatasetArrayInput interface {
	pulumi.Input

	ToAiDatasetArrayOutput() AiDatasetArrayOutput
	ToAiDatasetArrayOutputWithContext(context.Context) AiDatasetArrayOutput
}

AiDatasetArrayInput is an input type that accepts AiDatasetArray and AiDatasetArrayOutput values. You can construct a concrete instance of `AiDatasetArrayInput` via: 

AiDatasetArray{ AiDatasetArgs{...} }

type AiDatasetArrayOutput 

type AiDatasetArrayOutput struct{ *pulumi.OutputState }

func (AiDatasetArrayOutput) ElementType 

func (AiDatasetArrayOutput) ElementType() reflect.Type

func (AiDatasetArrayOutput) Index 

func (o AiDatasetArrayOutput) Index(i pulumi.IntInput) AiDatasetOutput

func (AiDatasetArrayOutput) ToAiDatasetArrayOutput 

func (o AiDatasetArrayOutput) ToAiDatasetArrayOutput() AiDatasetArrayOutput

func (AiDatasetArrayOutput) ToAiDatasetArrayOutputWithContext 

func (o AiDatasetArrayOutput) ToAiDatasetArrayOutputWithContext(ctx context.Context) AiDatasetArrayOutput

type AiDatasetEncryptionSpec 

type AiDatasetEncryptionSpec struct {
	// Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource.
	// Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the resource is created.
	KmsKeyName *string `pulumi:"kmsKeyName"`
}

type AiDatasetEncryptionSpecArgs 

type AiDatasetEncryptionSpecArgs struct {
	// Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource.
	// Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the resource is created.
	KmsKeyName pulumi.StringPtrInput `pulumi:"kmsKeyName"`
}

func (AiDatasetEncryptionSpecArgs) ElementType 

func (AiDatasetEncryptionSpecArgs) ElementType() reflect.Type

func (AiDatasetEncryptionSpecArgs) ToAiDatasetEncryptionSpecOutput 

func (i AiDatasetEncryptionSpecArgs) ToAiDatasetEncryptionSpecOutput() AiDatasetEncryptionSpecOutput

func (AiDatasetEncryptionSpecArgs) ToAiDatasetEncryptionSpecOutputWithContext 

func (i AiDatasetEncryptionSpecArgs) ToAiDatasetEncryptionSpecOutputWithContext(ctx context.Context) AiDatasetEncryptionSpecOutput

func (AiDatasetEncryptionSpecArgs) ToAiDatasetEncryptionSpecPtrOutput 

func (i AiDatasetEncryptionSpecArgs) ToAiDatasetEncryptionSpecPtrOutput() AiDatasetEncryptionSpecPtrOutput

func (AiDatasetEncryptionSpecArgs) ToAiDatasetEncryptionSpecPtrOutputWithContext 

func (i AiDatasetEncryptionSpecArgs) ToAiDatasetEncryptionSpecPtrOutputWithContext(ctx context.Context) AiDatasetEncryptionSpecPtrOutput

type AiDatasetEncryptionSpecInput 

type AiDatasetEncryptionSpecInput interface {
	pulumi.Input

	ToAiDatasetEncryptionSpecOutput() AiDatasetEncryptionSpecOutput
	ToAiDatasetEncryptionSpecOutputWithContext(context.Context) AiDatasetEncryptionSpecOutput
}

AiDatasetEncryptionSpecInput is an input type that accepts AiDatasetEncryptionSpecArgs and AiDatasetEncryptionSpecOutput values. You can construct a concrete instance of `AiDatasetEncryptionSpecInput` via: 

AiDatasetEncryptionSpecArgs{...}

type AiDatasetEncryptionSpecOutput 

type AiDatasetEncryptionSpecOutput struct{ *pulumi.OutputState }

func (AiDatasetEncryptionSpecOutput) ElementType 

func (AiDatasetEncryptionSpecOutput) ElementType() reflect.Type

func (AiDatasetEncryptionSpecOutput) KmsKeyName 

func (o AiDatasetEncryptionSpecOutput) KmsKeyName() pulumi.StringPtrOutput

Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the resource is created.

func (AiDatasetEncryptionSpecOutput) ToAiDatasetEncryptionSpecOutput 

func (o AiDatasetEncryptionSpecOutput) ToAiDatasetEncryptionSpecOutput() AiDatasetEncryptionSpecOutput

func (AiDatasetEncryptionSpecOutput) ToAiDatasetEncryptionSpecOutputWithContext 

func (o AiDatasetEncryptionSpecOutput) ToAiDatasetEncryptionSpecOutputWithContext(ctx context.Context) AiDatasetEncryptionSpecOutput

func (AiDatasetEncryptionSpecOutput) ToAiDatasetEncryptionSpecPtrOutput 

func (o AiDatasetEncryptionSpecOutput) ToAiDatasetEncryptionSpecPtrOutput() AiDatasetEncryptionSpecPtrOutput

func (AiDatasetEncryptionSpecOutput) ToAiDatasetEncryptionSpecPtrOutputWithContext 

func (o AiDatasetEncryptionSpecOutput) ToAiDatasetEncryptionSpecPtrOutputWithContext(ctx context.Context) AiDatasetEncryptionSpecPtrOutput

type AiDatasetEncryptionSpecPtrInput 

type AiDatasetEncryptionSpecPtrInput interface {
	pulumi.Input

	ToAiDatasetEncryptionSpecPtrOutput() AiDatasetEncryptionSpecPtrOutput
	ToAiDatasetEncryptionSpecPtrOutputWithContext(context.Context) AiDatasetEncryptionSpecPtrOutput
}

AiDatasetEncryptionSpecPtrInput is an input type that accepts AiDatasetEncryptionSpecArgs, AiDatasetEncryptionSpecPtr and AiDatasetEncryptionSpecPtrOutput values. You can construct a concrete instance of `AiDatasetEncryptionSpecPtrInput` via: 

        AiDatasetEncryptionSpecArgs{...}

or:

        nil

func AiDatasetEncryptionSpecPtr 

func AiDatasetEncryptionSpecPtr(v *AiDatasetEncryptionSpecArgs) AiDatasetEncryptionSpecPtrInput

type AiDatasetEncryptionSpecPtrOutput 

type AiDatasetEncryptionSpecPtrOutput struct{ *pulumi.OutputState }

func (AiDatasetEncryptionSpecPtrOutput) Elem 

func (o AiDatasetEncryptionSpecPtrOutput) Elem() AiDatasetEncryptionSpecOutput

func (AiDatasetEncryptionSpecPtrOutput) ElementType 

func (AiDatasetEncryptionSpecPtrOutput) ElementType() reflect.Type

func (AiDatasetEncryptionSpecPtrOutput) KmsKeyName 

func (o AiDatasetEncryptionSpecPtrOutput) KmsKeyName() pulumi.StringPtrOutput

Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the resource is created.

func (AiDatasetEncryptionSpecPtrOutput) ToAiDatasetEncryptionSpecPtrOutput 

func (o AiDatasetEncryptionSpecPtrOutput) ToAiDatasetEncryptionSpecPtrOutput() AiDatasetEncryptionSpecPtrOutput

func (AiDatasetEncryptionSpecPtrOutput) ToAiDatasetEncryptionSpecPtrOutputWithContext 

func (o AiDatasetEncryptionSpecPtrOutput) ToAiDatasetEncryptionSpecPtrOutputWithContext(ctx context.Context) AiDatasetEncryptionSpecPtrOutput

type AiDatasetInput 

type AiDatasetInput interface {
	pulumi.Input

	ToAiDatasetOutput() AiDatasetOutput
	ToAiDatasetOutputWithContext(ctx context.Context) AiDatasetOutput
}

type AiDatasetMap 

type AiDatasetMap map[string]AiDatasetInput

func (AiDatasetMap) ElementType 

func (AiDatasetMap) ElementType() reflect.Type

func (AiDatasetMap) ToAiDatasetMapOutput 

func (i AiDatasetMap) ToAiDatasetMapOutput() AiDatasetMapOutput

func (AiDatasetMap) ToAiDatasetMapOutputWithContext 

func (i AiDatasetMap) ToAiDatasetMapOutputWithContext(ctx context.Context) AiDatasetMapOutput

type AiDatasetMapInput 

type AiDatasetMapInput interface {
	pulumi.Input

	ToAiDatasetMapOutput() AiDatasetMapOutput
	ToAiDatasetMapOutputWithContext(context.Context) AiDatasetMapOutput
}

AiDatasetMapInput is an input type that accepts AiDatasetMap and AiDatasetMapOutput values. You can construct a concrete instance of `AiDatasetMapInput` via: 

AiDatasetMap{ "key": AiDatasetArgs{...} }

type AiDatasetMapOutput 

type AiDatasetMapOutput struct{ *pulumi.OutputState }

func (AiDatasetMapOutput) ElementType 

func (AiDatasetMapOutput) ElementType() reflect.Type

func (AiDatasetMapOutput) MapIndex 

func (o AiDatasetMapOutput) MapIndex(k pulumi.StringInput) AiDatasetOutput

func (AiDatasetMapOutput) ToAiDatasetMapOutput 

func (o AiDatasetMapOutput) ToAiDatasetMapOutput() AiDatasetMapOutput

func (AiDatasetMapOutput) ToAiDatasetMapOutputWithContext 

func (o AiDatasetMapOutput) ToAiDatasetMapOutputWithContext(ctx context.Context) AiDatasetMapOutput

type AiDatasetOutput 

type AiDatasetOutput struct{ *pulumi.OutputState }

func (AiDatasetOutput) CreateTime 

func (o AiDatasetOutput) CreateTime() pulumi.StringOutput

The timestamp of when the dataset was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

func (AiDatasetOutput) DisplayName 

func (o AiDatasetOutput) DisplayName() pulumi.StringOutput

The user-defined name of the Dataset. The name can be up to 128 characters long and can be consist of any UTF-8 characters.

func (AiDatasetOutput) EffectiveLabels 

func (o AiDatasetOutput) EffectiveLabels() pulumi.StringMapOutput

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

func (AiDatasetOutput) ElementType 

func (AiDatasetOutput) ElementType() reflect.Type

func (AiDatasetOutput) EncryptionSpec 

func (o AiDatasetOutput) EncryptionSpec() AiDatasetEncryptionSpecPtrOutput

Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key. Structure is documented below.

func (AiDatasetOutput) Labels 

func (o AiDatasetOutput) Labels() pulumi.StringMapOutput

A set of key/value label pairs to assign to this Workflow.

**Note**: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field `effectiveLabels` for all of the labels present on the resource.

func (AiDatasetOutput) MetadataSchemaUri 

func (o AiDatasetOutput) MetadataSchemaUri() pulumi.StringOutput

Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.

***

func (AiDatasetOutput) Name 

func (o AiDatasetOutput) Name() pulumi.StringOutput

The resource name of the Dataset. This value is set by Google.

func (AiDatasetOutput) Project 

func (o AiDatasetOutput) Project() pulumi.StringOutput

The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

func (AiDatasetOutput) PulumiLabels 

func (o AiDatasetOutput) PulumiLabels() pulumi.StringMapOutput

The combination of labels configured directly on the resource and default labels configured on the provider.

func (AiDatasetOutput) Region 

func (o AiDatasetOutput) Region() pulumi.StringOutput

The region of the dataset. eg us-central1

func (AiDatasetOutput) ToAiDatasetOutput 

func (o AiDatasetOutput) ToAiDatasetOutput() AiDatasetOutput

func (AiDatasetOutput) ToAiDatasetOutputWithContext 

func (o AiDatasetOutput) ToAiDatasetOutputWithContext(ctx context.Context) AiDatasetOutput

func (AiDatasetOutput) UpdateTime 

func (o AiDatasetOutput) UpdateTime() pulumi.StringOutput

The timestamp of when the dataset was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

type AiDatasetState 

type AiDatasetState struct {
	// The timestamp of when the dataset was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringPtrInput
	// The user-defined name of the Dataset. The name can be up to 128 characters long and can be consist of any UTF-8 characters.
	DisplayName pulumi.StringPtrInput
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapInput
	// Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.
	// Structure is documented below.
	EncryptionSpec AiDatasetEncryptionSpecPtrInput
	// A set of key/value label pairs to assign to this Workflow.
	//
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
	//
	// ***
	MetadataSchemaUri pulumi.StringPtrInput
	// The resource name of the Dataset. This value is set by Google.
	Name pulumi.StringPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapInput
	// The region of the dataset. eg us-central1
	Region pulumi.StringPtrInput
	// The timestamp of when the dataset was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringPtrInput
}

func (AiDatasetState) ElementType 

func (AiDatasetState) ElementType() reflect.Type

type AiDeploymentResourcePool 

type AiDeploymentResourcePool struct {
	pulumi.CustomResourceState

	// A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringOutput `pulumi:"createTime"`
	// The underlying dedicated resources that the deployment resource pool uses.
	// Structure is documented below.
	DedicatedResources AiDeploymentResourcePoolDedicatedResourcesPtrOutput `pulumi:"dedicatedResources"`
	// The resource name of deployment resource pool. The maximum length is 63 characters, and valid characters are `/^a-z?$/`.
	//
	// ***
	Name pulumi.StringOutput `pulumi:"name"`
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringOutput `pulumi:"project"`
	// The region of deployment resource pool. eg us-central1
	Region pulumi.StringPtrOutput `pulumi:"region"`
}

'DeploymentResourcePool can be shared by multiple deployed models, whose underlying specification consists of dedicated resources.'

To get more information about DeploymentResourcePool, see:

* [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.deploymentResourcePools)

## Example Usage

### Vertex Ai Deployment Resource Pool

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiDeploymentResourcePool(ctx, "deployment_resource_pool", &vertex.AiDeploymentResourcePoolArgs{
			Region: pulumi.String("us-central1"),
			Name:   pulumi.String("example-deployment-resource-pool"),
			DedicatedResources: &vertex.AiDeploymentResourcePoolDedicatedResourcesArgs{
				MachineSpec: &vertex.AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs{
					MachineType:      pulumi.String("n1-standard-4"),
					AcceleratorType:  pulumi.String("NVIDIA_TESLA_P4"),
					AcceleratorCount: pulumi.Int(1),
				},
				MinReplicaCount: pulumi.Int(1),
				MaxReplicaCount: pulumi.Int(2),
				AutoscalingMetricSpecs: vertex.AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArray{
					&vertex.AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs{
						MetricName: pulumi.String("aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle"),
						Target:     pulumi.Int(60),
					},
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

```

## Import

DeploymentResourcePool can be imported using any of these accepted formats:

* `projects/{{project}}/locations/{{region}}/deploymentResourcePools/{{name}}`

* `{{project}}/{{region}}/{{name}}`

* `{{region}}/{{name}}`

* `{{name}}`

When using the `pulumi import` command, DeploymentResourcePool can be imported using one of the formats above. For example:

```sh $ pulumi import gcp:vertex/aiDeploymentResourcePool:AiDeploymentResourcePool default projects/{{project}}/locations/{{region}}/deploymentResourcePools/{{name}} ```

```sh $ pulumi import gcp:vertex/aiDeploymentResourcePool:AiDeploymentResourcePool default {{project}}/{{region}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiDeploymentResourcePool:AiDeploymentResourcePool default {{region}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiDeploymentResourcePool:AiDeploymentResourcePool default {{name}} ```

func GetAiDeploymentResourcePool 

func GetAiDeploymentResourcePool(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiDeploymentResourcePoolState, opts ...pulumi.ResourceOption) (*AiDeploymentResourcePool, error)

GetAiDeploymentResourcePool gets an existing AiDeploymentResourcePool resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiDeploymentResourcePool 

func NewAiDeploymentResourcePool(ctx *pulumi.Context,
	name string, args *AiDeploymentResourcePoolArgs, opts ...pulumi.ResourceOption) (*AiDeploymentResourcePool, error)

NewAiDeploymentResourcePool registers a new resource with the given unique name, arguments, and options.

func (*AiDeploymentResourcePool) ElementType 

func (*AiDeploymentResourcePool) ElementType() reflect.Type

func (*AiDeploymentResourcePool) ToAiDeploymentResourcePoolOutput 

func (i *AiDeploymentResourcePool) ToAiDeploymentResourcePoolOutput() AiDeploymentResourcePoolOutput

func (*AiDeploymentResourcePool) ToAiDeploymentResourcePoolOutputWithContext 

func (i *AiDeploymentResourcePool) ToAiDeploymentResourcePoolOutputWithContext(ctx context.Context) AiDeploymentResourcePoolOutput

type AiDeploymentResourcePoolArgs 

type AiDeploymentResourcePoolArgs struct {
	// The underlying dedicated resources that the deployment resource pool uses.
	// Structure is documented below.
	DedicatedResources AiDeploymentResourcePoolDedicatedResourcesPtrInput
	// The resource name of deployment resource pool. The maximum length is 63 characters, and valid characters are `/^a-z?$/`.
	//
	// ***
	Name pulumi.StringPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The region of deployment resource pool. eg us-central1
	Region pulumi.StringPtrInput
}

The set of arguments for constructing a AiDeploymentResourcePool resource.

func (AiDeploymentResourcePoolArgs) ElementType 

func (AiDeploymentResourcePoolArgs) ElementType() reflect.Type

type AiDeploymentResourcePoolArray 

type AiDeploymentResourcePoolArray []AiDeploymentResourcePoolInput

func (AiDeploymentResourcePoolArray) ElementType 

func (AiDeploymentResourcePoolArray) ElementType() reflect.Type

func (AiDeploymentResourcePoolArray) ToAiDeploymentResourcePoolArrayOutput 

func (i AiDeploymentResourcePoolArray) ToAiDeploymentResourcePoolArrayOutput() AiDeploymentResourcePoolArrayOutput

func (AiDeploymentResourcePoolArray) ToAiDeploymentResourcePoolArrayOutputWithContext 

func (i AiDeploymentResourcePoolArray) ToAiDeploymentResourcePoolArrayOutputWithContext(ctx context.Context) AiDeploymentResourcePoolArrayOutput

type AiDeploymentResourcePoolArrayInput 

type AiDeploymentResourcePoolArrayInput interface {
	pulumi.Input

	ToAiDeploymentResourcePoolArrayOutput() AiDeploymentResourcePoolArrayOutput
	ToAiDeploymentResourcePoolArrayOutputWithContext(context.Context) AiDeploymentResourcePoolArrayOutput
}

AiDeploymentResourcePoolArrayInput is an input type that accepts AiDeploymentResourcePoolArray and AiDeploymentResourcePoolArrayOutput values. You can construct a concrete instance of `AiDeploymentResourcePoolArrayInput` via: 

AiDeploymentResourcePoolArray{ AiDeploymentResourcePoolArgs{...} }

type AiDeploymentResourcePoolArrayOutput 

type AiDeploymentResourcePoolArrayOutput struct{ *pulumi.OutputState }

func (AiDeploymentResourcePoolArrayOutput) ElementType 

func (AiDeploymentResourcePoolArrayOutput) ElementType() reflect.Type

func (AiDeploymentResourcePoolArrayOutput) Index 

func (o AiDeploymentResourcePoolArrayOutput) Index(i pulumi.IntInput) AiDeploymentResourcePoolOutput

func (AiDeploymentResourcePoolArrayOutput) ToAiDeploymentResourcePoolArrayOutput 

func (o AiDeploymentResourcePoolArrayOutput) ToAiDeploymentResourcePoolArrayOutput() AiDeploymentResourcePoolArrayOutput

func (AiDeploymentResourcePoolArrayOutput) ToAiDeploymentResourcePoolArrayOutputWithContext 

func (o AiDeploymentResourcePoolArrayOutput) ToAiDeploymentResourcePoolArrayOutputWithContext(ctx context.Context) AiDeploymentResourcePoolArrayOutput

type AiDeploymentResourcePoolDedicatedResources 

type AiDeploymentResourcePoolDedicatedResources struct {
	// A list of the metric specifications that overrides a resource utilization metric.
	// Structure is documented below.
	AutoscalingMetricSpecs []AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpec `pulumi:"autoscalingMetricSpecs"`
	// The specification of a single machine used by the prediction
	// Structure is documented below.
	MachineSpec AiDeploymentResourcePoolDedicatedResourcesMachineSpec `pulumi:"machineSpec"`
	// The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, will use minReplicaCount as the default value. The value of this field impacts the charge against Vertex CPU and GPU quotas. Specifically, you will be charged for maxReplicaCount * number of cores in the selected machine type) and (max_replica_count * number of GPUs per replica in the selected machine type).
	MaxReplicaCount *int `pulumi:"maxReplicaCount"`
	// The minimum number of machine replicas this DeployedModel will be always deployed on. This value must be greater than or equal to 1. If traffic against the DeployedModel increases, it may dynamically be deployed onto more replicas, and as traffic decreases, some of these extra replicas may be freed.
	MinReplicaCount int `pulumi:"minReplicaCount"`
}

type AiDeploymentResourcePoolDedicatedResourcesArgs 

type AiDeploymentResourcePoolDedicatedResourcesArgs struct {
	// A list of the metric specifications that overrides a resource utilization metric.
	// Structure is documented below.
	AutoscalingMetricSpecs AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayInput `pulumi:"autoscalingMetricSpecs"`
	// The specification of a single machine used by the prediction
	// Structure is documented below.
	MachineSpec AiDeploymentResourcePoolDedicatedResourcesMachineSpecInput `pulumi:"machineSpec"`
	// The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, will use minReplicaCount as the default value. The value of this field impacts the charge against Vertex CPU and GPU quotas. Specifically, you will be charged for maxReplicaCount * number of cores in the selected machine type) and (max_replica_count * number of GPUs per replica in the selected machine type).
	MaxReplicaCount pulumi.IntPtrInput `pulumi:"maxReplicaCount"`
	// The minimum number of machine replicas this DeployedModel will be always deployed on. This value must be greater than or equal to 1. If traffic against the DeployedModel increases, it may dynamically be deployed onto more replicas, and as traffic decreases, some of these extra replicas may be freed.
	MinReplicaCount pulumi.IntInput `pulumi:"minReplicaCount"`
}

func (AiDeploymentResourcePoolDedicatedResourcesArgs) ElementType 

func (AiDeploymentResourcePoolDedicatedResourcesArgs) ElementType() reflect.Type

func (AiDeploymentResourcePoolDedicatedResourcesArgs) ToAiDeploymentResourcePoolDedicatedResourcesOutput 

func (i AiDeploymentResourcePoolDedicatedResourcesArgs) ToAiDeploymentResourcePoolDedicatedResourcesOutput() AiDeploymentResourcePoolDedicatedResourcesOutput

func (AiDeploymentResourcePoolDedicatedResourcesArgs) ToAiDeploymentResourcePoolDedicatedResourcesOutputWithContext 

func (i AiDeploymentResourcePoolDedicatedResourcesArgs) ToAiDeploymentResourcePoolDedicatedResourcesOutputWithContext(ctx context.Context) AiDeploymentResourcePoolDedicatedResourcesOutput

func (AiDeploymentResourcePoolDedicatedResourcesArgs) ToAiDeploymentResourcePoolDedicatedResourcesPtrOutput 

func (i AiDeploymentResourcePoolDedicatedResourcesArgs) ToAiDeploymentResourcePoolDedicatedResourcesPtrOutput() AiDeploymentResourcePoolDedicatedResourcesPtrOutput

func (AiDeploymentResourcePoolDedicatedResourcesArgs) ToAiDeploymentResourcePoolDedicatedResourcesPtrOutputWithContext 

func (i AiDeploymentResourcePoolDedicatedResourcesArgs) ToAiDeploymentResourcePoolDedicatedResourcesPtrOutputWithContext(ctx context.Context) AiDeploymentResourcePoolDedicatedResourcesPtrOutput

type AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpec 

type AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpec struct {
	// The resource metric name. Supported metrics: For Online Prediction: * `aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle` * `aiplatform.googleapis.com/prediction/online/cpu/utilization`
	MetricName string `pulumi:"metricName"`
	// The target resource utilization in percentage (1% - 100%) for the given metric; once the real usage deviates from the target by a certain percentage, the machine replicas change. The default value is 60 (representing 60%) if not provided.
	Target *int `pulumi:"target"`
}

type AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs 

type AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs struct {
	// The resource metric name. Supported metrics: For Online Prediction: * `aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle` * `aiplatform.googleapis.com/prediction/online/cpu/utilization`
	MetricName pulumi.StringInput `pulumi:"metricName"`
	// The target resource utilization in percentage (1% - 100%) for the given metric; once the real usage deviates from the target by a certain percentage, the machine replicas change. The default value is 60 (representing 60%) if not provided.
	Target pulumi.IntPtrInput `pulumi:"target"`
}

func (AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs) ElementType 

func (AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs) ElementType() reflect.Type

func (AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs) ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput 

func (i AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs) ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput() AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput

func (AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs) ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutputWithContext 

func (i AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs) ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutputWithContext(ctx context.Context) AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput

type AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArray 

type AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArray []AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecInput

func (AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArray) ElementType 

func (AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArray) ElementType() reflect.Type

func (AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArray) ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput 

func (i AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArray) ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput() AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput

func (AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArray) ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutputWithContext 

func (i AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArray) ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutputWithContext(ctx context.Context) AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput

type AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayInput 

type AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayInput interface {
	pulumi.Input

	ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput() AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput
	ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutputWithContext(context.Context) AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput
}

AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayInput is an input type that accepts AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArray and AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput values. You can construct a concrete instance of `AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayInput` via: 

AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArray{ AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs{...} }

type AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput 

type AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput struct{ *pulumi.OutputState }

func (AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput) ElementType 

func (AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput) ElementType() reflect.Type

func (AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput) Index 

func (o AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput) Index(i pulumi.IntInput) AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput

func (AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput) ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput 

func (o AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput) ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput() AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput

func (AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput) ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutputWithContext 

func (o AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput) ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutputWithContext(ctx context.Context) AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput

type AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecInput 

type AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecInput interface {
	pulumi.Input

	ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput() AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput
	ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutputWithContext(context.Context) AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput
}

AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecInput is an input type that accepts AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs and AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput values. You can construct a concrete instance of `AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecInput` via: 

AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs{...}

type AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput 

type AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput struct{ *pulumi.OutputState }

func (AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput) ElementType 

func (AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput) ElementType() reflect.Type

func (AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput) MetricName 

func (o AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput) MetricName() pulumi.StringOutput

The resource metric name. Supported metrics: For Online Prediction: * `aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle` * `aiplatform.googleapis.com/prediction/online/cpu/utilization`

func (AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput) Target 

func (o AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput) Target() pulumi.IntPtrOutput

The target resource utilization in percentage (1% - 100%) for the given metric; once the real usage deviates from the target by a certain percentage, the machine replicas change. The default value is 60 (representing 60%) if not provided.

func (AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput) ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput 

func (o AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput) ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput() AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput

func (AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput) ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutputWithContext 

func (o AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput) ToAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutputWithContext(ctx context.Context) AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecOutput

type AiDeploymentResourcePoolDedicatedResourcesInput 

type AiDeploymentResourcePoolDedicatedResourcesInput interface {
	pulumi.Input

	ToAiDeploymentResourcePoolDedicatedResourcesOutput() AiDeploymentResourcePoolDedicatedResourcesOutput
	ToAiDeploymentResourcePoolDedicatedResourcesOutputWithContext(context.Context) AiDeploymentResourcePoolDedicatedResourcesOutput
}

AiDeploymentResourcePoolDedicatedResourcesInput is an input type that accepts AiDeploymentResourcePoolDedicatedResourcesArgs and AiDeploymentResourcePoolDedicatedResourcesOutput values. You can construct a concrete instance of `AiDeploymentResourcePoolDedicatedResourcesInput` via: 

AiDeploymentResourcePoolDedicatedResourcesArgs{...}

type AiDeploymentResourcePoolDedicatedResourcesMachineSpec 

type AiDeploymentResourcePoolDedicatedResourcesMachineSpec struct {
	// The number of accelerators to attach to the machine.
	AcceleratorCount *int `pulumi:"acceleratorCount"`
	// The type of accelerator(s) that may be attached to the machine as per accelerator_count. See possible values [here](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/MachineSpec#AcceleratorType).
	AcceleratorType *string `pulumi:"acceleratorType"`
	// The type of the machine. See the [list of machine types supported for prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types).
	MachineType *string `pulumi:"machineType"`
}

type AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs 

type AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs struct {
	// The number of accelerators to attach to the machine.
	AcceleratorCount pulumi.IntPtrInput `pulumi:"acceleratorCount"`
	// The type of accelerator(s) that may be attached to the machine as per accelerator_count. See possible values [here](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/MachineSpec#AcceleratorType).
	AcceleratorType pulumi.StringPtrInput `pulumi:"acceleratorType"`
	// The type of the machine. See the [list of machine types supported for prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types).
	MachineType pulumi.StringPtrInput `pulumi:"machineType"`
}

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs) ElementType 

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs) ElementType() reflect.Type

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput 

func (i AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput() AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecOutputWithContext 

func (i AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecOutputWithContext(ctx context.Context) AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput 

func (i AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput() AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutputWithContext 

func (i AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutputWithContext(ctx context.Context) AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput

type AiDeploymentResourcePoolDedicatedResourcesMachineSpecInput 

type AiDeploymentResourcePoolDedicatedResourcesMachineSpecInput interface {
	pulumi.Input

	ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput() AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput
	ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecOutputWithContext(context.Context) AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput
}

AiDeploymentResourcePoolDedicatedResourcesMachineSpecInput is an input type that accepts AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs and AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput values. You can construct a concrete instance of `AiDeploymentResourcePoolDedicatedResourcesMachineSpecInput` via: 

AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs{...}

type AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput 

type AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput struct{ *pulumi.OutputState }

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput) AcceleratorCount 

func (o AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput) AcceleratorCount() pulumi.IntPtrOutput

The number of accelerators to attach to the machine.

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput) AcceleratorType 

func (o AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput) AcceleratorType() pulumi.StringPtrOutput

The type of accelerator(s) that may be attached to the machine as per accelerator_count. See possible values [here](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/MachineSpec#AcceleratorType).

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput) ElementType 

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput) ElementType() reflect.Type

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput) MachineType 

func (o AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput) MachineType() pulumi.StringPtrOutput

The type of the machine. See the [list of machine types supported for prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types).

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput 

func (o AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput() AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecOutputWithContext 

func (o AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecOutputWithContext(ctx context.Context) AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput 

func (o AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput() AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutputWithContext 

func (o AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutputWithContext(ctx context.Context) AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput

type AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrInput 

type AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrInput interface {
	pulumi.Input

	ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput() AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput
	ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutputWithContext(context.Context) AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput
}

AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrInput is an input type that accepts AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs, AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtr and AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput values. You can construct a concrete instance of `AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrInput` via: 

        AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs{...}

or:

        nil

func AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtr 

func AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtr(v *AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs) AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrInput

type AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput 

type AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput struct{ *pulumi.OutputState }

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput) AcceleratorCount 

func (o AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput) AcceleratorCount() pulumi.IntPtrOutput

The number of accelerators to attach to the machine.

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput) AcceleratorType 

func (o AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput) AcceleratorType() pulumi.StringPtrOutput

The type of accelerator(s) that may be attached to the machine as per accelerator_count. See possible values [here](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/MachineSpec#AcceleratorType).

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput) Elem 

func (o AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput) Elem() AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput) ElementType 

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput) ElementType() reflect.Type

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput) MachineType 

func (o AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput) MachineType() pulumi.StringPtrOutput

The type of the machine. See the [list of machine types supported for prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types).

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput 

func (o AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput() AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput

func (AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutputWithContext 

func (o AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput) ToAiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutputWithContext(ctx context.Context) AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput

type AiDeploymentResourcePoolDedicatedResourcesOutput 

type AiDeploymentResourcePoolDedicatedResourcesOutput struct{ *pulumi.OutputState }

func (AiDeploymentResourcePoolDedicatedResourcesOutput) AutoscalingMetricSpecs 

func (o AiDeploymentResourcePoolDedicatedResourcesOutput) AutoscalingMetricSpecs() AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput

A list of the metric specifications that overrides a resource utilization metric. Structure is documented below.

func (AiDeploymentResourcePoolDedicatedResourcesOutput) ElementType 

func (AiDeploymentResourcePoolDedicatedResourcesOutput) ElementType() reflect.Type

func (AiDeploymentResourcePoolDedicatedResourcesOutput) MachineSpec 

func (o AiDeploymentResourcePoolDedicatedResourcesOutput) MachineSpec() AiDeploymentResourcePoolDedicatedResourcesMachineSpecOutput

The specification of a single machine used by the prediction Structure is documented below.

func (AiDeploymentResourcePoolDedicatedResourcesOutput) MaxReplicaCount 

func (o AiDeploymentResourcePoolDedicatedResourcesOutput) MaxReplicaCount() pulumi.IntPtrOutput

The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, will use minReplicaCount as the default value. The value of this field impacts the charge against Vertex CPU and GPU quotas. Specifically, you will be charged for maxReplicaCount * number of cores in the selected machine type) and (max_replica_count * number of GPUs per replica in the selected machine type).

func (AiDeploymentResourcePoolDedicatedResourcesOutput) MinReplicaCount 

func (o AiDeploymentResourcePoolDedicatedResourcesOutput) MinReplicaCount() pulumi.IntOutput

The minimum number of machine replicas this DeployedModel will be always deployed on. This value must be greater than or equal to 1. If traffic against the DeployedModel increases, it may dynamically be deployed onto more replicas, and as traffic decreases, some of these extra replicas may be freed.

func (AiDeploymentResourcePoolDedicatedResourcesOutput) ToAiDeploymentResourcePoolDedicatedResourcesOutput 

func (o AiDeploymentResourcePoolDedicatedResourcesOutput) ToAiDeploymentResourcePoolDedicatedResourcesOutput() AiDeploymentResourcePoolDedicatedResourcesOutput

func (AiDeploymentResourcePoolDedicatedResourcesOutput) ToAiDeploymentResourcePoolDedicatedResourcesOutputWithContext 

func (o AiDeploymentResourcePoolDedicatedResourcesOutput) ToAiDeploymentResourcePoolDedicatedResourcesOutputWithContext(ctx context.Context) AiDeploymentResourcePoolDedicatedResourcesOutput

func (AiDeploymentResourcePoolDedicatedResourcesOutput) ToAiDeploymentResourcePoolDedicatedResourcesPtrOutput 

func (o AiDeploymentResourcePoolDedicatedResourcesOutput) ToAiDeploymentResourcePoolDedicatedResourcesPtrOutput() AiDeploymentResourcePoolDedicatedResourcesPtrOutput

func (AiDeploymentResourcePoolDedicatedResourcesOutput) ToAiDeploymentResourcePoolDedicatedResourcesPtrOutputWithContext 

func (o AiDeploymentResourcePoolDedicatedResourcesOutput) ToAiDeploymentResourcePoolDedicatedResourcesPtrOutputWithContext(ctx context.Context) AiDeploymentResourcePoolDedicatedResourcesPtrOutput

type AiDeploymentResourcePoolDedicatedResourcesPtrInput 

type AiDeploymentResourcePoolDedicatedResourcesPtrInput interface {
	pulumi.Input

	ToAiDeploymentResourcePoolDedicatedResourcesPtrOutput() AiDeploymentResourcePoolDedicatedResourcesPtrOutput
	ToAiDeploymentResourcePoolDedicatedResourcesPtrOutputWithContext(context.Context) AiDeploymentResourcePoolDedicatedResourcesPtrOutput
}

AiDeploymentResourcePoolDedicatedResourcesPtrInput is an input type that accepts AiDeploymentResourcePoolDedicatedResourcesArgs, AiDeploymentResourcePoolDedicatedResourcesPtr and AiDeploymentResourcePoolDedicatedResourcesPtrOutput values. You can construct a concrete instance of `AiDeploymentResourcePoolDedicatedResourcesPtrInput` via: 

        AiDeploymentResourcePoolDedicatedResourcesArgs{...}

or:

        nil

func AiDeploymentResourcePoolDedicatedResourcesPtr 

func AiDeploymentResourcePoolDedicatedResourcesPtr(v *AiDeploymentResourcePoolDedicatedResourcesArgs) AiDeploymentResourcePoolDedicatedResourcesPtrInput

type AiDeploymentResourcePoolDedicatedResourcesPtrOutput 

type AiDeploymentResourcePoolDedicatedResourcesPtrOutput struct{ *pulumi.OutputState }

func (AiDeploymentResourcePoolDedicatedResourcesPtrOutput) AutoscalingMetricSpecs 

func (o AiDeploymentResourcePoolDedicatedResourcesPtrOutput) AutoscalingMetricSpecs() AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArrayOutput

A list of the metric specifications that overrides a resource utilization metric. Structure is documented below.

func (AiDeploymentResourcePoolDedicatedResourcesPtrOutput) Elem 

func (o AiDeploymentResourcePoolDedicatedResourcesPtrOutput) Elem() AiDeploymentResourcePoolDedicatedResourcesOutput

func (AiDeploymentResourcePoolDedicatedResourcesPtrOutput) ElementType 

func (AiDeploymentResourcePoolDedicatedResourcesPtrOutput) ElementType() reflect.Type

func (AiDeploymentResourcePoolDedicatedResourcesPtrOutput) MachineSpec 

func (o AiDeploymentResourcePoolDedicatedResourcesPtrOutput) MachineSpec() AiDeploymentResourcePoolDedicatedResourcesMachineSpecPtrOutput

The specification of a single machine used by the prediction Structure is documented below.

func (AiDeploymentResourcePoolDedicatedResourcesPtrOutput) MaxReplicaCount 

func (o AiDeploymentResourcePoolDedicatedResourcesPtrOutput) MaxReplicaCount() pulumi.IntPtrOutput

The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, will use minReplicaCount as the default value. The value of this field impacts the charge against Vertex CPU and GPU quotas. Specifically, you will be charged for maxReplicaCount * number of cores in the selected machine type) and (max_replica_count * number of GPUs per replica in the selected machine type).

func (AiDeploymentResourcePoolDedicatedResourcesPtrOutput) MinReplicaCount 

func (o AiDeploymentResourcePoolDedicatedResourcesPtrOutput) MinReplicaCount() pulumi.IntPtrOutput

The minimum number of machine replicas this DeployedModel will be always deployed on. This value must be greater than or equal to 1. If traffic against the DeployedModel increases, it may dynamically be deployed onto more replicas, and as traffic decreases, some of these extra replicas may be freed.

func (AiDeploymentResourcePoolDedicatedResourcesPtrOutput) ToAiDeploymentResourcePoolDedicatedResourcesPtrOutput 

func (o AiDeploymentResourcePoolDedicatedResourcesPtrOutput) ToAiDeploymentResourcePoolDedicatedResourcesPtrOutput() AiDeploymentResourcePoolDedicatedResourcesPtrOutput

func (AiDeploymentResourcePoolDedicatedResourcesPtrOutput) ToAiDeploymentResourcePoolDedicatedResourcesPtrOutputWithContext 

func (o AiDeploymentResourcePoolDedicatedResourcesPtrOutput) ToAiDeploymentResourcePoolDedicatedResourcesPtrOutputWithContext(ctx context.Context) AiDeploymentResourcePoolDedicatedResourcesPtrOutput

type AiDeploymentResourcePoolInput 

type AiDeploymentResourcePoolInput interface {
	pulumi.Input

	ToAiDeploymentResourcePoolOutput() AiDeploymentResourcePoolOutput
	ToAiDeploymentResourcePoolOutputWithContext(ctx context.Context) AiDeploymentResourcePoolOutput
}

type AiDeploymentResourcePoolMap 

type AiDeploymentResourcePoolMap map[string]AiDeploymentResourcePoolInput

func (AiDeploymentResourcePoolMap) ElementType 

func (AiDeploymentResourcePoolMap) ElementType() reflect.Type

func (AiDeploymentResourcePoolMap) ToAiDeploymentResourcePoolMapOutput 

func (i AiDeploymentResourcePoolMap) ToAiDeploymentResourcePoolMapOutput() AiDeploymentResourcePoolMapOutput

func (AiDeploymentResourcePoolMap) ToAiDeploymentResourcePoolMapOutputWithContext 

func (i AiDeploymentResourcePoolMap) ToAiDeploymentResourcePoolMapOutputWithContext(ctx context.Context) AiDeploymentResourcePoolMapOutput

type AiDeploymentResourcePoolMapInput 

type AiDeploymentResourcePoolMapInput interface {
	pulumi.Input

	ToAiDeploymentResourcePoolMapOutput() AiDeploymentResourcePoolMapOutput
	ToAiDeploymentResourcePoolMapOutputWithContext(context.Context) AiDeploymentResourcePoolMapOutput
}

AiDeploymentResourcePoolMapInput is an input type that accepts AiDeploymentResourcePoolMap and AiDeploymentResourcePoolMapOutput values. You can construct a concrete instance of `AiDeploymentResourcePoolMapInput` via: 

AiDeploymentResourcePoolMap{ "key": AiDeploymentResourcePoolArgs{...} }

type AiDeploymentResourcePoolMapOutput 

type AiDeploymentResourcePoolMapOutput struct{ *pulumi.OutputState }

func (AiDeploymentResourcePoolMapOutput) ElementType 

func (AiDeploymentResourcePoolMapOutput) ElementType() reflect.Type

func (AiDeploymentResourcePoolMapOutput) MapIndex 

func (o AiDeploymentResourcePoolMapOutput) MapIndex(k pulumi.StringInput) AiDeploymentResourcePoolOutput

func (AiDeploymentResourcePoolMapOutput) ToAiDeploymentResourcePoolMapOutput 

func (o AiDeploymentResourcePoolMapOutput) ToAiDeploymentResourcePoolMapOutput() AiDeploymentResourcePoolMapOutput

func (AiDeploymentResourcePoolMapOutput) ToAiDeploymentResourcePoolMapOutputWithContext 

func (o AiDeploymentResourcePoolMapOutput) ToAiDeploymentResourcePoolMapOutputWithContext(ctx context.Context) AiDeploymentResourcePoolMapOutput

type AiDeploymentResourcePoolOutput 

type AiDeploymentResourcePoolOutput struct{ *pulumi.OutputState }

func (AiDeploymentResourcePoolOutput) CreateTime 

func (o AiDeploymentResourcePoolOutput) CreateTime() pulumi.StringOutput

A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

func (AiDeploymentResourcePoolOutput) DedicatedResources 

func (o AiDeploymentResourcePoolOutput) DedicatedResources() AiDeploymentResourcePoolDedicatedResourcesPtrOutput

The underlying dedicated resources that the deployment resource pool uses. Structure is documented below.

func (AiDeploymentResourcePoolOutput) ElementType 

func (AiDeploymentResourcePoolOutput) ElementType() reflect.Type

func (AiDeploymentResourcePoolOutput) Name 

func (o AiDeploymentResourcePoolOutput) Name() pulumi.StringOutput

The resource name of deployment resource pool. The maximum length is 63 characters, and valid characters are `/^a-z?$/`.

***

func (AiDeploymentResourcePoolOutput) Project 

func (o AiDeploymentResourcePoolOutput) Project() pulumi.StringOutput

The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

func (AiDeploymentResourcePoolOutput) Region 

func (o AiDeploymentResourcePoolOutput) Region() pulumi.StringPtrOutput

The region of deployment resource pool. eg us-central1

func (AiDeploymentResourcePoolOutput) ToAiDeploymentResourcePoolOutput 

func (o AiDeploymentResourcePoolOutput) ToAiDeploymentResourcePoolOutput() AiDeploymentResourcePoolOutput

func (AiDeploymentResourcePoolOutput) ToAiDeploymentResourcePoolOutputWithContext 

func (o AiDeploymentResourcePoolOutput) ToAiDeploymentResourcePoolOutputWithContext(ctx context.Context) AiDeploymentResourcePoolOutput

type AiDeploymentResourcePoolState 

type AiDeploymentResourcePoolState struct {
	// A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringPtrInput
	// The underlying dedicated resources that the deployment resource pool uses.
	// Structure is documented below.
	DedicatedResources AiDeploymentResourcePoolDedicatedResourcesPtrInput
	// The resource name of deployment resource pool. The maximum length is 63 characters, and valid characters are `/^a-z?$/`.
	//
	// ***
	Name pulumi.StringPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The region of deployment resource pool. eg us-central1
	Region pulumi.StringPtrInput
}

func (AiDeploymentResourcePoolState) ElementType 

func (AiDeploymentResourcePoolState) ElementType() reflect.Type

type AiEndpoint 

type AiEndpoint struct {
	pulumi.CustomResourceState

	// (Output)
	// Output only. Timestamp when the DeployedModel was created.
	CreateTime pulumi.StringOutput `pulumi:"createTime"`
	// Output only. DNS of the dedicated endpoint. Will only be populated if dedicatedEndpointEnabled is true. Format: `https://{endpointId}.{region}-{projectNumber}.prediction.vertexai.goog`.
	DedicatedEndpointDns pulumi.StringOutput `pulumi:"dedicatedEndpointDns"`
	// If true, the endpoint will be exposed through a dedicated DNS [Endpoint.dedicated_endpoint_dns]. Your request to the dedicated DNS will be isolated from other users' traffic and will have better performance and reliability. Note: Once you enabled dedicated endpoint, you won't be able to send request to the shared DNS {region}-aiplatform.googleapis.com. The limitation will be removed soon.
	DedicatedEndpointEnabled pulumi.BoolPtrOutput `pulumi:"dedicatedEndpointEnabled"`
	// Output only. The models deployed in this Endpoint. To add or remove DeployedModels use EndpointService.DeployModel and EndpointService.UndeployModel respectively. Models can also be deployed and undeployed using the [Cloud Console](https://console.cloud.google.com/vertex-ai/).
	// Structure is documented below.
	DeployedModels AiEndpointDeployedModelArrayOutput `pulumi:"deployedModels"`
	// The description of the Endpoint.
	Description pulumi.StringPtrOutput `pulumi:"description"`
	// Required. The display name of the Endpoint. The name can be up to 128 characters long and can consist of any UTF-8 characters.
	DisplayName pulumi.StringOutput `pulumi:"displayName"`
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapOutput `pulumi:"effectiveLabels"`
	// Customer-managed encryption key spec for an Endpoint. If set, this Endpoint and all sub-resources of this Endpoint will be secured by this key.
	// Structure is documented below.
	EncryptionSpec AiEndpointEncryptionSpecPtrOutput `pulumi:"encryptionSpec"`
	// Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
	Etag pulumi.StringOutput `pulumi:"etag"`
	// The labels with user-defined metadata to organize your Endpoints. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapOutput `pulumi:"labels"`
	// The location for the resource
	//
	// ***
	Location pulumi.StringOutput `pulumi:"location"`
	// Output only. Resource name of the Model Monitoring job associated with this Endpoint if monitoring is enabled by CreateModelDeploymentMonitoringJob. Format: `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	ModelDeploymentMonitoringJob pulumi.StringOutput `pulumi:"modelDeploymentMonitoringJob"`
	// The resource name of the Endpoint. The name must be numeric with no leading zeros and can be at most 10 digits.
	Name pulumi.StringOutput `pulumi:"name"`
	// The full name of the Google Compute Engine [network](https://cloud.google.com//compute/docs/networks-and-firewalls#networks) to which the Endpoint should be peered. Private services access must already be configured for the network. If left unspecified, the Endpoint is not peered with any network. Only one of the fields, network or enable_private_service_connect, can be set. [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert): `projects/{project}/global/networks/{network}`. Where `{project}` is a project number, as in `12345`, and `{network}` is network name. Only one of the fields, `network` or `privateServiceConnectConfig`, can be set.
	Network pulumi.StringPtrOutput `pulumi:"network"`
	// Configures the request-response logging for online prediction.
	// Structure is documented below.
	PredictRequestResponseLoggingConfig AiEndpointPredictRequestResponseLoggingConfigPtrOutput `pulumi:"predictRequestResponseLoggingConfig"`
	// Configuration for private service connect. `network` and `privateServiceConnectConfig` are mutually exclusive.
	// Structure is documented below.
	PrivateServiceConnectConfig AiEndpointPrivateServiceConnectConfigPtrOutput `pulumi:"privateServiceConnectConfig"`
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringOutput `pulumi:"project"`
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapOutput `pulumi:"pulumiLabels"`
	// The region for the resource
	Region pulumi.StringPtrOutput `pulumi:"region"`
	// A map from a DeployedModel's id to the percentage of this Endpoint's traffic that should be forwarded to that DeployedModel.
	// If a DeployedModel's id is not listed in this map, then it receives no traffic.
	// The traffic percentage values must add up to 100, or map must be empty if the Endpoint is to not accept any traffic at a moment. See
	// the `deployModel` [example](https://cloud.google.com/vertex-ai/docs/general/deployment#deploy_a_model_to_an_endpoint) and
	// [documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1beta1/projects.locations.endpoints/deployModel) for more information.
	// > **Note:** To set the map to empty, set `"{}"`, apply, and then remove the field from your config.
	TrafficSplit pulumi.StringOutput `pulumi:"trafficSplit"`
	// Output only. Timestamp when this Endpoint was last updated.
	UpdateTime pulumi.StringOutput `pulumi:"updateTime"`
}

Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations.

To get more information about Endpoint, see:

* [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1beta1/projects.locations.endpoints) * How-to Guides

## Example Usage

### Vertex Ai Endpoint Network

```go package main

import ( 

"encoding/json"
"fmt"

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/bigquery"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/compute"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/kms"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/organizations"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/servicenetworking"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		vertexNetwork, err := compute.NewNetwork(ctx, "vertex_network", &compute.NetworkArgs{
			Name: pulumi.String("network-name"),
		})
		if err != nil {
			return err
		}
		vertexRange, err := compute.NewGlobalAddress(ctx, "vertex_range", &compute.GlobalAddressArgs{
			Name:         pulumi.String("address-name"),
			Purpose:      pulumi.String("VPC_PEERING"),
			AddressType:  pulumi.String("INTERNAL"),
			PrefixLength: pulumi.Int(24),
			Network:      vertexNetwork.ID(),
		})
		if err != nil {
			return err
		}
		vertexVpcConnection, err := servicenetworking.NewConnection(ctx, "vertex_vpc_connection", &servicenetworking.ConnectionArgs{
			Network: vertexNetwork.ID(),
			Service: pulumi.String("servicenetworking.googleapis.com"),
			ReservedPeeringRanges: pulumi.StringArray{
				vertexRange.Name,
			},
		})
		if err != nil {
			return err
		}
		bqDataset, err := bigquery.NewDataset(ctx, "bq_dataset", &bigquery.DatasetArgs{
			DatasetId:               pulumi.String("some_dataset"),
			FriendlyName:            pulumi.String("logging dataset"),
			Description:             pulumi.String("This is a dataset that requests are logged to"),
			Location:                pulumi.String("US"),
			DeleteContentsOnDestroy: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		project, err := organizations.LookupProject(ctx, &organizations.LookupProjectArgs{}, nil)
		if err != nil {
			return err
		}
		tmpJSON0, err := json.Marshal(map[string]interface{}{
			"12345": 100,
		})
		if err != nil {
			return err
		}
		json0 := string(tmpJSON0)
		_, err = vertex.NewAiEndpoint(ctx, "endpoint", &vertex.AiEndpointArgs{
			Name:        pulumi.String("endpoint-name"),
			DisplayName: pulumi.String("sample-endpoint"),
			Description: pulumi.String("A sample vertex endpoint"),
			Location:    pulumi.String("us-central1"),
			Region:      pulumi.String("us-central1"),
			Labels: pulumi.StringMap{
				"label-one": pulumi.String("value-one"),
			},
			Network: vertexNetwork.Name.ApplyT(func(name string) (string, error) {
				return fmt.Sprintf("projects/%v/global/networks/%v", project.Number, name), nil
			}).(pulumi.StringOutput),
			EncryptionSpec: &vertex.AiEndpointEncryptionSpecArgs{
				KmsKeyName: pulumi.String("kms-name"),
			},
			PredictRequestResponseLoggingConfig: &vertex.AiEndpointPredictRequestResponseLoggingConfigArgs{
				BigqueryDestination: &vertex.AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationArgs{
					OutputUri: bqDataset.DatasetId.ApplyT(func(datasetId string) (string, error) {
						return fmt.Sprintf("bq://%v.%v.request_response_logging", project.ProjectId, datasetId), nil
					}).(pulumi.StringOutput),
				},
				Enabled:      pulumi.Bool(true),
				SamplingRate: pulumi.Float64(0.1),
			},
			TrafficSplit: pulumi.String(json0),
		}, pulumi.DependsOn([]pulumi.Resource{
			vertexVpcConnection,
		}))
		if err != nil {
			return err
		}
		_, err = kms.NewCryptoKeyIAMMember(ctx, "crypto_key", &kms.CryptoKeyIAMMemberArgs{
			CryptoKeyId: pulumi.String("kms-name"),
			Role:        pulumi.String("roles/cloudkms.cryptoKeyEncrypterDecrypter"),
			Member:      pulumi.Sprintf("serviceAccount:service-%v@gcp-sa-aiplatform.iam.gserviceaccount.com", project.Number),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

``` ### Vertex Ai Endpoint Private Service Connect

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/organizations"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		project, err := organizations.LookupProject(ctx, &organizations.LookupProjectArgs{}, nil)
		if err != nil {
			return err
		}
		_, err = vertex.NewAiEndpoint(ctx, "endpoint", &vertex.AiEndpointArgs{
			Name:        pulumi.String("endpoint-name_89313"),
			DisplayName: pulumi.String("sample-endpoint"),
			Description: pulumi.String("A sample vertex endpoint"),
			Location:    pulumi.String("us-central1"),
			Region:      pulumi.String("us-central1"),
			Labels: pulumi.StringMap{
				"label-one": pulumi.String("value-one"),
			},
			PrivateServiceConnectConfig: &vertex.AiEndpointPrivateServiceConnectConfigArgs{
				EnablePrivateServiceConnect: pulumi.Bool(true),
				ProjectAllowlists: pulumi.StringArray{
					pulumi.String(project.ProjectId),
				},
				EnableSecurePrivateServiceConnect: pulumi.Bool(false),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

``` ### Vertex Ai Endpoint Dedicated Endpoint

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/organizations"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiEndpoint(ctx, "endpoint", &vertex.AiEndpointArgs{
			Name:        pulumi.String("endpoint-name_60646"),
			DisplayName: pulumi.String("sample-endpoint"),
			Description: pulumi.String("A sample vertex endpoint"),
			Location:    pulumi.String("us-central1"),
			Region:      pulumi.String("us-central1"),
			Labels: pulumi.StringMap{
				"label-one": pulumi.String("value-one"),
			},
			DedicatedEndpointEnabled: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		_, err = organizations.LookupProject(ctx, &organizations.LookupProjectArgs{}, nil)
		if err != nil {
			return err
		}
		return nil
	})
}

```

## Import

Endpoint can be imported using any of these accepted formats:

* `projects/{{project}}/locations/{{location}}/endpoints/{{name}}`

* `{{project}}/{{location}}/{{name}}`

* `{{location}}/{{name}}`

When using the `pulumi import` command, Endpoint can be imported using one of the formats above. For example:

```sh $ pulumi import gcp:vertex/aiEndpoint:AiEndpoint default projects/{{project}}/locations/{{location}}/endpoints/{{name}} ```

```sh $ pulumi import gcp:vertex/aiEndpoint:AiEndpoint default {{project}}/{{location}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiEndpoint:AiEndpoint default {{location}}/{{name}} ```

func GetAiEndpoint 

func GetAiEndpoint(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiEndpointState, opts ...pulumi.ResourceOption) (*AiEndpoint, error)

GetAiEndpoint gets an existing AiEndpoint resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiEndpoint 

func NewAiEndpoint(ctx *pulumi.Context,
	name string, args *AiEndpointArgs, opts ...pulumi.ResourceOption) (*AiEndpoint, error)

NewAiEndpoint registers a new resource with the given unique name, arguments, and options.

func (*AiEndpoint) ElementType 

func (*AiEndpoint) ElementType() reflect.Type

func (*AiEndpoint) ToAiEndpointOutput 

func (i *AiEndpoint) ToAiEndpointOutput() AiEndpointOutput

func (*AiEndpoint) ToAiEndpointOutputWithContext 

func (i *AiEndpoint) ToAiEndpointOutputWithContext(ctx context.Context) AiEndpointOutput

type AiEndpointArgs 

type AiEndpointArgs struct {
	// If true, the endpoint will be exposed through a dedicated DNS [Endpoint.dedicated_endpoint_dns]. Your request to the dedicated DNS will be isolated from other users' traffic and will have better performance and reliability. Note: Once you enabled dedicated endpoint, you won't be able to send request to the shared DNS {region}-aiplatform.googleapis.com. The limitation will be removed soon.
	DedicatedEndpointEnabled pulumi.BoolPtrInput
	// The description of the Endpoint.
	Description pulumi.StringPtrInput
	// Required. The display name of the Endpoint. The name can be up to 128 characters long and can consist of any UTF-8 characters.
	DisplayName pulumi.StringInput
	// Customer-managed encryption key spec for an Endpoint. If set, this Endpoint and all sub-resources of this Endpoint will be secured by this key.
	// Structure is documented below.
	EncryptionSpec AiEndpointEncryptionSpecPtrInput
	// The labels with user-defined metadata to organize your Endpoints. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// The location for the resource
	//
	// ***
	Location pulumi.StringInput
	// The resource name of the Endpoint. The name must be numeric with no leading zeros and can be at most 10 digits.
	Name pulumi.StringPtrInput
	// The full name of the Google Compute Engine [network](https://cloud.google.com//compute/docs/networks-and-firewalls#networks) to which the Endpoint should be peered. Private services access must already be configured for the network. If left unspecified, the Endpoint is not peered with any network. Only one of the fields, network or enable_private_service_connect, can be set. [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert): `projects/{project}/global/networks/{network}`. Where `{project}` is a project number, as in `12345`, and `{network}` is network name. Only one of the fields, `network` or `privateServiceConnectConfig`, can be set.
	Network pulumi.StringPtrInput
	// Configures the request-response logging for online prediction.
	// Structure is documented below.
	PredictRequestResponseLoggingConfig AiEndpointPredictRequestResponseLoggingConfigPtrInput
	// Configuration for private service connect. `network` and `privateServiceConnectConfig` are mutually exclusive.
	// Structure is documented below.
	PrivateServiceConnectConfig AiEndpointPrivateServiceConnectConfigPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The region for the resource
	Region pulumi.StringPtrInput
	// A map from a DeployedModel's id to the percentage of this Endpoint's traffic that should be forwarded to that DeployedModel.
	// If a DeployedModel's id is not listed in this map, then it receives no traffic.
	// The traffic percentage values must add up to 100, or map must be empty if the Endpoint is to not accept any traffic at a moment. See
	// the `deployModel` [example](https://cloud.google.com/vertex-ai/docs/general/deployment#deploy_a_model_to_an_endpoint) and
	// [documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1beta1/projects.locations.endpoints/deployModel) for more information.
	// > **Note:** To set the map to empty, set `"{}"`, apply, and then remove the field from your config.
	TrafficSplit pulumi.StringPtrInput
}

The set of arguments for constructing a AiEndpoint resource.

func (AiEndpointArgs) ElementType 

func (AiEndpointArgs) ElementType() reflect.Type

type AiEndpointArray 

type AiEndpointArray []AiEndpointInput

func (AiEndpointArray) ElementType 

func (AiEndpointArray) ElementType() reflect.Type

func (AiEndpointArray) ToAiEndpointArrayOutput 

func (i AiEndpointArray) ToAiEndpointArrayOutput() AiEndpointArrayOutput

func (AiEndpointArray) ToAiEndpointArrayOutputWithContext 

func (i AiEndpointArray) ToAiEndpointArrayOutputWithContext(ctx context.Context) AiEndpointArrayOutput

type AiEndpointArrayInput 

type AiEndpointArrayInput interface {
	pulumi.Input

	ToAiEndpointArrayOutput() AiEndpointArrayOutput
	ToAiEndpointArrayOutputWithContext(context.Context) AiEndpointArrayOutput
}

AiEndpointArrayInput is an input type that accepts AiEndpointArray and AiEndpointArrayOutput values. You can construct a concrete instance of `AiEndpointArrayInput` via: 

AiEndpointArray{ AiEndpointArgs{...} }

type AiEndpointArrayOutput 

type AiEndpointArrayOutput struct{ *pulumi.OutputState }

func (AiEndpointArrayOutput) ElementType 

func (AiEndpointArrayOutput) ElementType() reflect.Type

func (AiEndpointArrayOutput) Index 

func (o AiEndpointArrayOutput) Index(i pulumi.IntInput) AiEndpointOutput

func (AiEndpointArrayOutput) ToAiEndpointArrayOutput 

func (o AiEndpointArrayOutput) ToAiEndpointArrayOutput() AiEndpointArrayOutput

func (AiEndpointArrayOutput) ToAiEndpointArrayOutputWithContext 

func (o AiEndpointArrayOutput) ToAiEndpointArrayOutputWithContext(ctx context.Context) AiEndpointArrayOutput

type AiEndpointDeployedModel 

type AiEndpointDeployedModel struct {
	// (Output)
	// A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.
	// Structure is documented below.
	AutomaticResources []AiEndpointDeployedModelAutomaticResource `pulumi:"automaticResources"`
	// (Output)
	// Output only. Timestamp when the DeployedModel was created.
	CreateTime *string `pulumi:"createTime"`
	// (Output)
	// A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
	// Structure is documented below.
	DedicatedResources []AiEndpointDeployedModelDedicatedResource `pulumi:"dedicatedResources"`
	// Required. The display name of the Endpoint. The name can be up to 128 characters long and can consist of any UTF-8 characters.
	DisplayName *string `pulumi:"displayName"`
	// (Output)
	// These logs are like standard server access logs, containing information like timestamp and latency for each prediction request. Note that Stackdriver logs may incur a cost, especially if your project receives prediction requests at a high queries per second rate (QPS). Estimate your costs before enabling this option.
	EnableAccessLogging *bool `pulumi:"enableAccessLogging"`
	// (Output)
	// If true, the container of the DeployedModel instances will send `stderr` and `stdout` streams to Stackdriver Logging. Only supported for custom-trained Models and AutoML Tabular Models.
	EnableContainerLogging *bool `pulumi:"enableContainerLogging"`
	// (Output)
	// The ID of the DeployedModel. If not provided upon deployment, Vertex AI will generate a value for this ID. This value should be 1-10 characters, and valid characters are /[0-9]/.
	Id *string `pulumi:"id"`
	// (Output)
	// The name of the Model that this is the deployment of. Note that the Model may be in a different location than the DeployedModel's Endpoint.
	Model *string `pulumi:"model"`
	// (Output)
	// Output only. The version ID of the model that is deployed.
	ModelVersionId *string `pulumi:"modelVersionId"`
	// (Output)
	// Output only. Provide paths for users to send predict/explain/health requests directly to the deployed model services running on Cloud via private services access. This field is populated if network is configured.
	// Structure is documented below.
	PrivateEndpoints []AiEndpointDeployedModelPrivateEndpoint `pulumi:"privateEndpoints"`
	// (Output)
	// The service account that the DeployedModel's container runs as. Specify the email address of the service account. If this service account is not specified, the container runs as a service account that doesn't have access to the resource project. Users deploying the Model must have the `iam.serviceAccounts.actAs` permission on this service account.
	ServiceAccount *string `pulumi:"serviceAccount"`
	// (Output)
	// The resource name of the shared DeploymentResourcePool to deploy on. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}
	SharedResources *string `pulumi:"sharedResources"`
}

type AiEndpointDeployedModelArgs 

type AiEndpointDeployedModelArgs struct {
	// (Output)
	// A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.
	// Structure is documented below.
	AutomaticResources AiEndpointDeployedModelAutomaticResourceArrayInput `pulumi:"automaticResources"`
	// (Output)
	// Output only. Timestamp when the DeployedModel was created.
	CreateTime pulumi.StringPtrInput `pulumi:"createTime"`
	// (Output)
	// A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
	// Structure is documented below.
	DedicatedResources AiEndpointDeployedModelDedicatedResourceArrayInput `pulumi:"dedicatedResources"`
	// Required. The display name of the Endpoint. The name can be up to 128 characters long and can consist of any UTF-8 characters.
	DisplayName pulumi.StringPtrInput `pulumi:"displayName"`
	// (Output)
	// These logs are like standard server access logs, containing information like timestamp and latency for each prediction request. Note that Stackdriver logs may incur a cost, especially if your project receives prediction requests at a high queries per second rate (QPS). Estimate your costs before enabling this option.
	EnableAccessLogging pulumi.BoolPtrInput `pulumi:"enableAccessLogging"`
	// (Output)
	// If true, the container of the DeployedModel instances will send `stderr` and `stdout` streams to Stackdriver Logging. Only supported for custom-trained Models and AutoML Tabular Models.
	EnableContainerLogging pulumi.BoolPtrInput `pulumi:"enableContainerLogging"`
	// (Output)
	// The ID of the DeployedModel. If not provided upon deployment, Vertex AI will generate a value for this ID. This value should be 1-10 characters, and valid characters are /[0-9]/.
	Id pulumi.StringPtrInput `pulumi:"id"`
	// (Output)
	// The name of the Model that this is the deployment of. Note that the Model may be in a different location than the DeployedModel's Endpoint.
	Model pulumi.StringPtrInput `pulumi:"model"`
	// (Output)
	// Output only. The version ID of the model that is deployed.
	ModelVersionId pulumi.StringPtrInput `pulumi:"modelVersionId"`
	// (Output)
	// Output only. Provide paths for users to send predict/explain/health requests directly to the deployed model services running on Cloud via private services access. This field is populated if network is configured.
	// Structure is documented below.
	PrivateEndpoints AiEndpointDeployedModelPrivateEndpointArrayInput `pulumi:"privateEndpoints"`
	// (Output)
	// The service account that the DeployedModel's container runs as. Specify the email address of the service account. If this service account is not specified, the container runs as a service account that doesn't have access to the resource project. Users deploying the Model must have the `iam.serviceAccounts.actAs` permission on this service account.
	ServiceAccount pulumi.StringPtrInput `pulumi:"serviceAccount"`
	// (Output)
	// The resource name of the shared DeploymentResourcePool to deploy on. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}
	SharedResources pulumi.StringPtrInput `pulumi:"sharedResources"`
}

func (AiEndpointDeployedModelArgs) ElementType 

func (AiEndpointDeployedModelArgs) ElementType() reflect.Type

func (AiEndpointDeployedModelArgs) ToAiEndpointDeployedModelOutput 

func (i AiEndpointDeployedModelArgs) ToAiEndpointDeployedModelOutput() AiEndpointDeployedModelOutput

func (AiEndpointDeployedModelArgs) ToAiEndpointDeployedModelOutputWithContext 

func (i AiEndpointDeployedModelArgs) ToAiEndpointDeployedModelOutputWithContext(ctx context.Context) AiEndpointDeployedModelOutput

type AiEndpointDeployedModelArray 

type AiEndpointDeployedModelArray []AiEndpointDeployedModelInput

func (AiEndpointDeployedModelArray) ElementType 

func (AiEndpointDeployedModelArray) ElementType() reflect.Type

func (AiEndpointDeployedModelArray) ToAiEndpointDeployedModelArrayOutput 

func (i AiEndpointDeployedModelArray) ToAiEndpointDeployedModelArrayOutput() AiEndpointDeployedModelArrayOutput

func (AiEndpointDeployedModelArray) ToAiEndpointDeployedModelArrayOutputWithContext 

func (i AiEndpointDeployedModelArray) ToAiEndpointDeployedModelArrayOutputWithContext(ctx context.Context) AiEndpointDeployedModelArrayOutput

type AiEndpointDeployedModelArrayInput 

type AiEndpointDeployedModelArrayInput interface {
	pulumi.Input

	ToAiEndpointDeployedModelArrayOutput() AiEndpointDeployedModelArrayOutput
	ToAiEndpointDeployedModelArrayOutputWithContext(context.Context) AiEndpointDeployedModelArrayOutput
}

AiEndpointDeployedModelArrayInput is an input type that accepts AiEndpointDeployedModelArray and AiEndpointDeployedModelArrayOutput values. You can construct a concrete instance of `AiEndpointDeployedModelArrayInput` via: 

AiEndpointDeployedModelArray{ AiEndpointDeployedModelArgs{...} }

type AiEndpointDeployedModelArrayOutput 

type AiEndpointDeployedModelArrayOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelArrayOutput) ElementType 

func (AiEndpointDeployedModelArrayOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelArrayOutput) Index 

func (o AiEndpointDeployedModelArrayOutput) Index(i pulumi.IntInput) AiEndpointDeployedModelOutput

func (AiEndpointDeployedModelArrayOutput) ToAiEndpointDeployedModelArrayOutput 

func (o AiEndpointDeployedModelArrayOutput) ToAiEndpointDeployedModelArrayOutput() AiEndpointDeployedModelArrayOutput

func (AiEndpointDeployedModelArrayOutput) ToAiEndpointDeployedModelArrayOutputWithContext 

func (o AiEndpointDeployedModelArrayOutput) ToAiEndpointDeployedModelArrayOutputWithContext(ctx context.Context) AiEndpointDeployedModelArrayOutput

type AiEndpointDeployedModelAutomaticResource 

type AiEndpointDeployedModelAutomaticResource struct {
	// (Output)
	// The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, a no upper bound for scaling under heavy traffic will be assume, though Vertex AI may be unable to scale beyond certain replica number.
	MaxReplicaCount *int `pulumi:"maxReplicaCount"`
	// (Output)
	// The minimum number of replicas this DeployedModel will be always deployed on. If traffic against it increases, it may dynamically be deployed onto more replicas up to max_replica_count, and as traffic decreases, some of these extra replicas may be freed. If the requested value is too large, the deployment will error.
	MinReplicaCount *int `pulumi:"minReplicaCount"`
}

type AiEndpointDeployedModelAutomaticResourceArgs 

type AiEndpointDeployedModelAutomaticResourceArgs struct {
	// (Output)
	// The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, a no upper bound for scaling under heavy traffic will be assume, though Vertex AI may be unable to scale beyond certain replica number.
	MaxReplicaCount pulumi.IntPtrInput `pulumi:"maxReplicaCount"`
	// (Output)
	// The minimum number of replicas this DeployedModel will be always deployed on. If traffic against it increases, it may dynamically be deployed onto more replicas up to max_replica_count, and as traffic decreases, some of these extra replicas may be freed. If the requested value is too large, the deployment will error.
	MinReplicaCount pulumi.IntPtrInput `pulumi:"minReplicaCount"`
}

func (AiEndpointDeployedModelAutomaticResourceArgs) ElementType 

func (AiEndpointDeployedModelAutomaticResourceArgs) ElementType() reflect.Type

func (AiEndpointDeployedModelAutomaticResourceArgs) ToAiEndpointDeployedModelAutomaticResourceOutput 

func (i AiEndpointDeployedModelAutomaticResourceArgs) ToAiEndpointDeployedModelAutomaticResourceOutput() AiEndpointDeployedModelAutomaticResourceOutput

func (AiEndpointDeployedModelAutomaticResourceArgs) ToAiEndpointDeployedModelAutomaticResourceOutputWithContext 

func (i AiEndpointDeployedModelAutomaticResourceArgs) ToAiEndpointDeployedModelAutomaticResourceOutputWithContext(ctx context.Context) AiEndpointDeployedModelAutomaticResourceOutput

type AiEndpointDeployedModelAutomaticResourceArray 

type AiEndpointDeployedModelAutomaticResourceArray []AiEndpointDeployedModelAutomaticResourceInput

func (AiEndpointDeployedModelAutomaticResourceArray) ElementType 

func (AiEndpointDeployedModelAutomaticResourceArray) ElementType() reflect.Type

func (AiEndpointDeployedModelAutomaticResourceArray) ToAiEndpointDeployedModelAutomaticResourceArrayOutput 

func (i AiEndpointDeployedModelAutomaticResourceArray) ToAiEndpointDeployedModelAutomaticResourceArrayOutput() AiEndpointDeployedModelAutomaticResourceArrayOutput

func (AiEndpointDeployedModelAutomaticResourceArray) ToAiEndpointDeployedModelAutomaticResourceArrayOutputWithContext 

func (i AiEndpointDeployedModelAutomaticResourceArray) ToAiEndpointDeployedModelAutomaticResourceArrayOutputWithContext(ctx context.Context) AiEndpointDeployedModelAutomaticResourceArrayOutput

type AiEndpointDeployedModelAutomaticResourceArrayInput 

type AiEndpointDeployedModelAutomaticResourceArrayInput interface {
	pulumi.Input

	ToAiEndpointDeployedModelAutomaticResourceArrayOutput() AiEndpointDeployedModelAutomaticResourceArrayOutput
	ToAiEndpointDeployedModelAutomaticResourceArrayOutputWithContext(context.Context) AiEndpointDeployedModelAutomaticResourceArrayOutput
}

AiEndpointDeployedModelAutomaticResourceArrayInput is an input type that accepts AiEndpointDeployedModelAutomaticResourceArray and AiEndpointDeployedModelAutomaticResourceArrayOutput values. You can construct a concrete instance of `AiEndpointDeployedModelAutomaticResourceArrayInput` via: 

AiEndpointDeployedModelAutomaticResourceArray{ AiEndpointDeployedModelAutomaticResourceArgs{...} }

type AiEndpointDeployedModelAutomaticResourceArrayOutput 

type AiEndpointDeployedModelAutomaticResourceArrayOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelAutomaticResourceArrayOutput) ElementType 

func (AiEndpointDeployedModelAutomaticResourceArrayOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelAutomaticResourceArrayOutput) Index 

func (o AiEndpointDeployedModelAutomaticResourceArrayOutput) Index(i pulumi.IntInput) AiEndpointDeployedModelAutomaticResourceOutput

func (AiEndpointDeployedModelAutomaticResourceArrayOutput) ToAiEndpointDeployedModelAutomaticResourceArrayOutput 

func (o AiEndpointDeployedModelAutomaticResourceArrayOutput) ToAiEndpointDeployedModelAutomaticResourceArrayOutput() AiEndpointDeployedModelAutomaticResourceArrayOutput

func (AiEndpointDeployedModelAutomaticResourceArrayOutput) ToAiEndpointDeployedModelAutomaticResourceArrayOutputWithContext 

func (o AiEndpointDeployedModelAutomaticResourceArrayOutput) ToAiEndpointDeployedModelAutomaticResourceArrayOutputWithContext(ctx context.Context) AiEndpointDeployedModelAutomaticResourceArrayOutput

type AiEndpointDeployedModelAutomaticResourceInput 

type AiEndpointDeployedModelAutomaticResourceInput interface {
	pulumi.Input

	ToAiEndpointDeployedModelAutomaticResourceOutput() AiEndpointDeployedModelAutomaticResourceOutput
	ToAiEndpointDeployedModelAutomaticResourceOutputWithContext(context.Context) AiEndpointDeployedModelAutomaticResourceOutput
}

AiEndpointDeployedModelAutomaticResourceInput is an input type that accepts AiEndpointDeployedModelAutomaticResourceArgs and AiEndpointDeployedModelAutomaticResourceOutput values. You can construct a concrete instance of `AiEndpointDeployedModelAutomaticResourceInput` via: 

AiEndpointDeployedModelAutomaticResourceArgs{...}

type AiEndpointDeployedModelAutomaticResourceOutput 

type AiEndpointDeployedModelAutomaticResourceOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelAutomaticResourceOutput) ElementType 

func (AiEndpointDeployedModelAutomaticResourceOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelAutomaticResourceOutput) MaxReplicaCount 

func (o AiEndpointDeployedModelAutomaticResourceOutput) MaxReplicaCount() pulumi.IntPtrOutput

(Output) The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, a no upper bound for scaling under heavy traffic will be assume, though Vertex AI may be unable to scale beyond certain replica number.

func (AiEndpointDeployedModelAutomaticResourceOutput) MinReplicaCount 

func (o AiEndpointDeployedModelAutomaticResourceOutput) MinReplicaCount() pulumi.IntPtrOutput

(Output) The minimum number of replicas this DeployedModel will be always deployed on. If traffic against it increases, it may dynamically be deployed onto more replicas up to max_replica_count, and as traffic decreases, some of these extra replicas may be freed. If the requested value is too large, the deployment will error.

func (AiEndpointDeployedModelAutomaticResourceOutput) ToAiEndpointDeployedModelAutomaticResourceOutput 

func (o AiEndpointDeployedModelAutomaticResourceOutput) ToAiEndpointDeployedModelAutomaticResourceOutput() AiEndpointDeployedModelAutomaticResourceOutput

func (AiEndpointDeployedModelAutomaticResourceOutput) ToAiEndpointDeployedModelAutomaticResourceOutputWithContext 

func (o AiEndpointDeployedModelAutomaticResourceOutput) ToAiEndpointDeployedModelAutomaticResourceOutputWithContext(ctx context.Context) AiEndpointDeployedModelAutomaticResourceOutput

type AiEndpointDeployedModelDedicatedResource 

type AiEndpointDeployedModelDedicatedResource struct {
	// (Output)
	// The metric specifications that overrides a resource utilization metric (CPU utilization, accelerator's duty cycle, and so on) target value (default to 60 if not set). At most one entry is allowed per metric. If machine_spec.accelerator_count is above 0, the autoscaling will be based on both CPU utilization and accelerator's duty cycle metrics and scale up when either metrics exceeds its target value while scale down if both metrics are under their target value. The default target value is 60 for both metrics. If machine_spec.accelerator_count is 0, the autoscaling will be based on CPU utilization metric only with default target value 60 if not explicitly set. For example, in the case of Online Prediction, if you want to override target CPU utilization to 80, you should set autoscaling_metric_specs.metric_name to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and autoscaling_metric_specs.target to `80`.
	// Structure is documented below.
	AutoscalingMetricSpecs []AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpec `pulumi:"autoscalingMetricSpecs"`
	// (Output)
	// The specification of a single machine used by the prediction.
	// Structure is documented below.
	MachineSpecs []AiEndpointDeployedModelDedicatedResourceMachineSpec `pulumi:"machineSpecs"`
	// (Output)
	// The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, a no upper bound for scaling under heavy traffic will be assume, though Vertex AI may be unable to scale beyond certain replica number.
	MaxReplicaCount *int `pulumi:"maxReplicaCount"`
	// (Output)
	// The minimum number of replicas this DeployedModel will be always deployed on. If traffic against it increases, it may dynamically be deployed onto more replicas up to max_replica_count, and as traffic decreases, some of these extra replicas may be freed. If the requested value is too large, the deployment will error.
	MinReplicaCount *int `pulumi:"minReplicaCount"`
}

type AiEndpointDeployedModelDedicatedResourceArgs 

type AiEndpointDeployedModelDedicatedResourceArgs struct {
	// (Output)
	// The metric specifications that overrides a resource utilization metric (CPU utilization, accelerator's duty cycle, and so on) target value (default to 60 if not set). At most one entry is allowed per metric. If machine_spec.accelerator_count is above 0, the autoscaling will be based on both CPU utilization and accelerator's duty cycle metrics and scale up when either metrics exceeds its target value while scale down if both metrics are under their target value. The default target value is 60 for both metrics. If machine_spec.accelerator_count is 0, the autoscaling will be based on CPU utilization metric only with default target value 60 if not explicitly set. For example, in the case of Online Prediction, if you want to override target CPU utilization to 80, you should set autoscaling_metric_specs.metric_name to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and autoscaling_metric_specs.target to `80`.
	// Structure is documented below.
	AutoscalingMetricSpecs AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayInput `pulumi:"autoscalingMetricSpecs"`
	// (Output)
	// The specification of a single machine used by the prediction.
	// Structure is documented below.
	MachineSpecs AiEndpointDeployedModelDedicatedResourceMachineSpecArrayInput `pulumi:"machineSpecs"`
	// (Output)
	// The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, a no upper bound for scaling under heavy traffic will be assume, though Vertex AI may be unable to scale beyond certain replica number.
	MaxReplicaCount pulumi.IntPtrInput `pulumi:"maxReplicaCount"`
	// (Output)
	// The minimum number of replicas this DeployedModel will be always deployed on. If traffic against it increases, it may dynamically be deployed onto more replicas up to max_replica_count, and as traffic decreases, some of these extra replicas may be freed. If the requested value is too large, the deployment will error.
	MinReplicaCount pulumi.IntPtrInput `pulumi:"minReplicaCount"`
}

func (AiEndpointDeployedModelDedicatedResourceArgs) ElementType 

func (AiEndpointDeployedModelDedicatedResourceArgs) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceArgs) ToAiEndpointDeployedModelDedicatedResourceOutput 

func (i AiEndpointDeployedModelDedicatedResourceArgs) ToAiEndpointDeployedModelDedicatedResourceOutput() AiEndpointDeployedModelDedicatedResourceOutput

func (AiEndpointDeployedModelDedicatedResourceArgs) ToAiEndpointDeployedModelDedicatedResourceOutputWithContext 

func (i AiEndpointDeployedModelDedicatedResourceArgs) ToAiEndpointDeployedModelDedicatedResourceOutputWithContext(ctx context.Context) AiEndpointDeployedModelDedicatedResourceOutput

type AiEndpointDeployedModelDedicatedResourceArray 

type AiEndpointDeployedModelDedicatedResourceArray []AiEndpointDeployedModelDedicatedResourceInput

func (AiEndpointDeployedModelDedicatedResourceArray) ElementType 

func (AiEndpointDeployedModelDedicatedResourceArray) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceArray) ToAiEndpointDeployedModelDedicatedResourceArrayOutput 

func (i AiEndpointDeployedModelDedicatedResourceArray) ToAiEndpointDeployedModelDedicatedResourceArrayOutput() AiEndpointDeployedModelDedicatedResourceArrayOutput

func (AiEndpointDeployedModelDedicatedResourceArray) ToAiEndpointDeployedModelDedicatedResourceArrayOutputWithContext 

func (i AiEndpointDeployedModelDedicatedResourceArray) ToAiEndpointDeployedModelDedicatedResourceArrayOutputWithContext(ctx context.Context) AiEndpointDeployedModelDedicatedResourceArrayOutput

type AiEndpointDeployedModelDedicatedResourceArrayInput 

type AiEndpointDeployedModelDedicatedResourceArrayInput interface {
	pulumi.Input

	ToAiEndpointDeployedModelDedicatedResourceArrayOutput() AiEndpointDeployedModelDedicatedResourceArrayOutput
	ToAiEndpointDeployedModelDedicatedResourceArrayOutputWithContext(context.Context) AiEndpointDeployedModelDedicatedResourceArrayOutput
}

AiEndpointDeployedModelDedicatedResourceArrayInput is an input type that accepts AiEndpointDeployedModelDedicatedResourceArray and AiEndpointDeployedModelDedicatedResourceArrayOutput values. You can construct a concrete instance of `AiEndpointDeployedModelDedicatedResourceArrayInput` via: 

AiEndpointDeployedModelDedicatedResourceArray{ AiEndpointDeployedModelDedicatedResourceArgs{...} }

type AiEndpointDeployedModelDedicatedResourceArrayOutput 

type AiEndpointDeployedModelDedicatedResourceArrayOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelDedicatedResourceArrayOutput) ElementType 

func (AiEndpointDeployedModelDedicatedResourceArrayOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceArrayOutput) Index 

func (o AiEndpointDeployedModelDedicatedResourceArrayOutput) Index(i pulumi.IntInput) AiEndpointDeployedModelDedicatedResourceOutput

func (AiEndpointDeployedModelDedicatedResourceArrayOutput) ToAiEndpointDeployedModelDedicatedResourceArrayOutput 

func (o AiEndpointDeployedModelDedicatedResourceArrayOutput) ToAiEndpointDeployedModelDedicatedResourceArrayOutput() AiEndpointDeployedModelDedicatedResourceArrayOutput

func (AiEndpointDeployedModelDedicatedResourceArrayOutput) ToAiEndpointDeployedModelDedicatedResourceArrayOutputWithContext 

func (o AiEndpointDeployedModelDedicatedResourceArrayOutput) ToAiEndpointDeployedModelDedicatedResourceArrayOutputWithContext(ctx context.Context) AiEndpointDeployedModelDedicatedResourceArrayOutput

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpec 

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpec struct {
	// (Output)
	// The resource metric name. Supported metrics: * For Online Prediction: * `aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle` * `aiplatform.googleapis.com/prediction/online/cpu/utilization`
	MetricName *string `pulumi:"metricName"`
	// (Output)
	// The target resource utilization in percentage (1% - 100%) for the given metric; once the real usage deviates from the target by a certain percentage, the machine replicas change. The default value is 60 (representing 60%) if not provided.
	Target *int `pulumi:"target"`
}

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArgs 

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArgs struct {
	// (Output)
	// The resource metric name. Supported metrics: * For Online Prediction: * `aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle` * `aiplatform.googleapis.com/prediction/online/cpu/utilization`
	MetricName pulumi.StringPtrInput `pulumi:"metricName"`
	// (Output)
	// The target resource utilization in percentage (1% - 100%) for the given metric; once the real usage deviates from the target by a certain percentage, the machine replicas change. The default value is 60 (representing 60%) if not provided.
	Target pulumi.IntPtrInput `pulumi:"target"`
}

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArgs) ElementType 

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArgs) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArgs) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput 

func (i AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArgs) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput() AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArgs) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutputWithContext 

func (i AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArgs) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutputWithContext(ctx context.Context) AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArray 

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArray []AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecInput

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArray) ElementType 

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArray) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArray) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput 

func (i AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArray) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput() AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArray) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutputWithContext 

func (i AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArray) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutputWithContext(ctx context.Context) AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayInput 

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayInput interface {
	pulumi.Input

	ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput() AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput
	ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutputWithContext(context.Context) AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput
}

AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayInput is an input type that accepts AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArray and AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput values. You can construct a concrete instance of `AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayInput` via: 

AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArray{ AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArgs{...} }

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput 

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput) ElementType 

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput) Index 

func (o AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput) Index(i pulumi.IntInput) AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput 

func (o AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput() AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutputWithContext 

func (o AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutputWithContext(ctx context.Context) AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecInput 

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecInput interface {
	pulumi.Input

	ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput() AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput
	ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutputWithContext(context.Context) AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput
}

AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecInput is an input type that accepts AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArgs and AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput values. You can construct a concrete instance of `AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecInput` via: 

AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArgs{...}

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput 

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput) ElementType 

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput) MetricName 

func (o AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput) MetricName() pulumi.StringPtrOutput

(Output) The resource metric name. Supported metrics: * For Online Prediction: * `aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle` * `aiplatform.googleapis.com/prediction/online/cpu/utilization`

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput) Target 

func (o AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput) Target() pulumi.IntPtrOutput

(Output) The target resource utilization in percentage (1% - 100%) for the given metric; once the real usage deviates from the target by a certain percentage, the machine replicas change. The default value is 60 (representing 60%) if not provided.

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput 

func (o AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput() AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutputWithContext 

func (o AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutputWithContext(ctx context.Context) AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput

type AiEndpointDeployedModelDedicatedResourceInput 

type AiEndpointDeployedModelDedicatedResourceInput interface {
	pulumi.Input

	ToAiEndpointDeployedModelDedicatedResourceOutput() AiEndpointDeployedModelDedicatedResourceOutput
	ToAiEndpointDeployedModelDedicatedResourceOutputWithContext(context.Context) AiEndpointDeployedModelDedicatedResourceOutput
}

AiEndpointDeployedModelDedicatedResourceInput is an input type that accepts AiEndpointDeployedModelDedicatedResourceArgs and AiEndpointDeployedModelDedicatedResourceOutput values. You can construct a concrete instance of `AiEndpointDeployedModelDedicatedResourceInput` via: 

AiEndpointDeployedModelDedicatedResourceArgs{...}

type AiEndpointDeployedModelDedicatedResourceMachineSpec 

type AiEndpointDeployedModelDedicatedResourceMachineSpec struct {
	// (Output)
	// The number of accelerators to attach to the machine.
	AcceleratorCount *int `pulumi:"acceleratorCount"`
	// (Output)
	// The type of accelerator(s) that may be attached to the machine as per accelerator_count. See possible values [here](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/MachineSpec#AcceleratorType).
	AcceleratorType *string `pulumi:"acceleratorType"`
	// (Output)
	// The type of the machine. See the [list of machine types supported for prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types) See the [list of machine types supported for custom training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types). For DeployedModel this field is optional, and the default value is `n1-standard-2`. For BatchPredictionJob or as part of WorkerPoolSpec this field is required. TODO(rsurowka): Try to better unify the required vs optional.
	MachineType *string `pulumi:"machineType"`
}

type AiEndpointDeployedModelDedicatedResourceMachineSpecArgs 

type AiEndpointDeployedModelDedicatedResourceMachineSpecArgs struct {
	// (Output)
	// The number of accelerators to attach to the machine.
	AcceleratorCount pulumi.IntPtrInput `pulumi:"acceleratorCount"`
	// (Output)
	// The type of accelerator(s) that may be attached to the machine as per accelerator_count. See possible values [here](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/MachineSpec#AcceleratorType).
	AcceleratorType pulumi.StringPtrInput `pulumi:"acceleratorType"`
	// (Output)
	// The type of the machine. See the [list of machine types supported for prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types) See the [list of machine types supported for custom training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types). For DeployedModel this field is optional, and the default value is `n1-standard-2`. For BatchPredictionJob or as part of WorkerPoolSpec this field is required. TODO(rsurowka): Try to better unify the required vs optional.
	MachineType pulumi.StringPtrInput `pulumi:"machineType"`
}

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArgs) ElementType 

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArgs) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArgs) ToAiEndpointDeployedModelDedicatedResourceMachineSpecOutput 

func (i AiEndpointDeployedModelDedicatedResourceMachineSpecArgs) ToAiEndpointDeployedModelDedicatedResourceMachineSpecOutput() AiEndpointDeployedModelDedicatedResourceMachineSpecOutput

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArgs) ToAiEndpointDeployedModelDedicatedResourceMachineSpecOutputWithContext 

func (i AiEndpointDeployedModelDedicatedResourceMachineSpecArgs) ToAiEndpointDeployedModelDedicatedResourceMachineSpecOutputWithContext(ctx context.Context) AiEndpointDeployedModelDedicatedResourceMachineSpecOutput

type AiEndpointDeployedModelDedicatedResourceMachineSpecArray 

type AiEndpointDeployedModelDedicatedResourceMachineSpecArray []AiEndpointDeployedModelDedicatedResourceMachineSpecInput

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArray) ElementType 

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArray) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArray) ToAiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput 

func (i AiEndpointDeployedModelDedicatedResourceMachineSpecArray) ToAiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput() AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArray) ToAiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutputWithContext 

func (i AiEndpointDeployedModelDedicatedResourceMachineSpecArray) ToAiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutputWithContext(ctx context.Context) AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput

type AiEndpointDeployedModelDedicatedResourceMachineSpecArrayInput 

type AiEndpointDeployedModelDedicatedResourceMachineSpecArrayInput interface {
	pulumi.Input

	ToAiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput() AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput
	ToAiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutputWithContext(context.Context) AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput
}

AiEndpointDeployedModelDedicatedResourceMachineSpecArrayInput is an input type that accepts AiEndpointDeployedModelDedicatedResourceMachineSpecArray and AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput values. You can construct a concrete instance of `AiEndpointDeployedModelDedicatedResourceMachineSpecArrayInput` via: 

AiEndpointDeployedModelDedicatedResourceMachineSpecArray{ AiEndpointDeployedModelDedicatedResourceMachineSpecArgs{...} }

type AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput 

type AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput) ElementType 

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput) Index 

func (o AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput) Index(i pulumi.IntInput) AiEndpointDeployedModelDedicatedResourceMachineSpecOutput

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput) ToAiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput 

func (o AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput) ToAiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput() AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput) ToAiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutputWithContext 

func (o AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput) ToAiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutputWithContext(ctx context.Context) AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput

type AiEndpointDeployedModelDedicatedResourceMachineSpecInput 

type AiEndpointDeployedModelDedicatedResourceMachineSpecInput interface {
	pulumi.Input

	ToAiEndpointDeployedModelDedicatedResourceMachineSpecOutput() AiEndpointDeployedModelDedicatedResourceMachineSpecOutput
	ToAiEndpointDeployedModelDedicatedResourceMachineSpecOutputWithContext(context.Context) AiEndpointDeployedModelDedicatedResourceMachineSpecOutput
}

AiEndpointDeployedModelDedicatedResourceMachineSpecInput is an input type that accepts AiEndpointDeployedModelDedicatedResourceMachineSpecArgs and AiEndpointDeployedModelDedicatedResourceMachineSpecOutput values. You can construct a concrete instance of `AiEndpointDeployedModelDedicatedResourceMachineSpecInput` via: 

AiEndpointDeployedModelDedicatedResourceMachineSpecArgs{...}

type AiEndpointDeployedModelDedicatedResourceMachineSpecOutput 

type AiEndpointDeployedModelDedicatedResourceMachineSpecOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) AcceleratorCount 

func (o AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) AcceleratorCount() pulumi.IntPtrOutput

(Output) The number of accelerators to attach to the machine.

func (AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) AcceleratorType 

func (o AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) AcceleratorType() pulumi.StringPtrOutput

(Output) The type of accelerator(s) that may be attached to the machine as per accelerator_count. See possible values [here](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/MachineSpec#AcceleratorType).

func (AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) ElementType 

func (AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) MachineType 

func (o AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) MachineType() pulumi.StringPtrOutput

(Output) The type of the machine. See the [list of machine types supported for prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types) See the [list of machine types supported for custom training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types). For DeployedModel this field is optional, and the default value is `n1-standard-2`. For BatchPredictionJob or as part of WorkerPoolSpec this field is required. TODO(rsurowka): Try to better unify the required vs optional.

func (AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) ToAiEndpointDeployedModelDedicatedResourceMachineSpecOutput 

func (o AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) ToAiEndpointDeployedModelDedicatedResourceMachineSpecOutput() AiEndpointDeployedModelDedicatedResourceMachineSpecOutput

func (AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) ToAiEndpointDeployedModelDedicatedResourceMachineSpecOutputWithContext 

func (o AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) ToAiEndpointDeployedModelDedicatedResourceMachineSpecOutputWithContext(ctx context.Context) AiEndpointDeployedModelDedicatedResourceMachineSpecOutput

type AiEndpointDeployedModelDedicatedResourceOutput 

type AiEndpointDeployedModelDedicatedResourceOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelDedicatedResourceOutput) AutoscalingMetricSpecs 

func (o AiEndpointDeployedModelDedicatedResourceOutput) AutoscalingMetricSpecs() AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput

(Output) The metric specifications that overrides a resource utilization metric (CPU utilization, accelerator's duty cycle, and so on) target value (default to 60 if not set). At most one entry is allowed per metric. If machine_spec.accelerator_count is above 0, the autoscaling will be based on both CPU utilization and accelerator's duty cycle metrics and scale up when either metrics exceeds its target value while scale down if both metrics are under their target value. The default target value is 60 for both metrics. If machine_spec.accelerator_count is 0, the autoscaling will be based on CPU utilization metric only with default target value 60 if not explicitly set. For example, in the case of Online Prediction, if you want to override target CPU utilization to 80, you should set autoscaling_metric_specs.metric_name to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and autoscaling_metric_specs.target to `80`. Structure is documented below.

func (AiEndpointDeployedModelDedicatedResourceOutput) ElementType 

func (AiEndpointDeployedModelDedicatedResourceOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceOutput) MachineSpecs 

func (o AiEndpointDeployedModelDedicatedResourceOutput) MachineSpecs() AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput

(Output) The specification of a single machine used by the prediction. Structure is documented below.

func (AiEndpointDeployedModelDedicatedResourceOutput) MaxReplicaCount 

func (o AiEndpointDeployedModelDedicatedResourceOutput) MaxReplicaCount() pulumi.IntPtrOutput

(Output) The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, a no upper bound for scaling under heavy traffic will be assume, though Vertex AI may be unable to scale beyond certain replica number.

func (AiEndpointDeployedModelDedicatedResourceOutput) MinReplicaCount 

func (o AiEndpointDeployedModelDedicatedResourceOutput) MinReplicaCount() pulumi.IntPtrOutput

(Output) The minimum number of replicas this DeployedModel will be always deployed on. If traffic against it increases, it may dynamically be deployed onto more replicas up to max_replica_count, and as traffic decreases, some of these extra replicas may be freed. If the requested value is too large, the deployment will error.

func (AiEndpointDeployedModelDedicatedResourceOutput) ToAiEndpointDeployedModelDedicatedResourceOutput 

func (o AiEndpointDeployedModelDedicatedResourceOutput) ToAiEndpointDeployedModelDedicatedResourceOutput() AiEndpointDeployedModelDedicatedResourceOutput

func (AiEndpointDeployedModelDedicatedResourceOutput) ToAiEndpointDeployedModelDedicatedResourceOutputWithContext 

func (o AiEndpointDeployedModelDedicatedResourceOutput) ToAiEndpointDeployedModelDedicatedResourceOutputWithContext(ctx context.Context) AiEndpointDeployedModelDedicatedResourceOutput

type AiEndpointDeployedModelInput 

type AiEndpointDeployedModelInput interface {
	pulumi.Input

	ToAiEndpointDeployedModelOutput() AiEndpointDeployedModelOutput
	ToAiEndpointDeployedModelOutputWithContext(context.Context) AiEndpointDeployedModelOutput
}

AiEndpointDeployedModelInput is an input type that accepts AiEndpointDeployedModelArgs and AiEndpointDeployedModelOutput values. You can construct a concrete instance of `AiEndpointDeployedModelInput` via: 

AiEndpointDeployedModelArgs{...}

type AiEndpointDeployedModelOutput 

type AiEndpointDeployedModelOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelOutput) AutomaticResources 

func (o AiEndpointDeployedModelOutput) AutomaticResources() AiEndpointDeployedModelAutomaticResourceArrayOutput

(Output) A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration. Structure is documented below.

func (AiEndpointDeployedModelOutput) CreateTime 

func (o AiEndpointDeployedModelOutput) CreateTime() pulumi.StringPtrOutput

(Output) Output only. Timestamp when the DeployedModel was created.

func (AiEndpointDeployedModelOutput) DedicatedResources 

func (o AiEndpointDeployedModelOutput) DedicatedResources() AiEndpointDeployedModelDedicatedResourceArrayOutput

(Output) A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration. Structure is documented below.

func (AiEndpointDeployedModelOutput) DisplayName 

func (o AiEndpointDeployedModelOutput) DisplayName() pulumi.StringPtrOutput

Required. The display name of the Endpoint. The name can be up to 128 characters long and can consist of any UTF-8 characters.

func (AiEndpointDeployedModelOutput) ElementType 

func (AiEndpointDeployedModelOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelOutput) EnableAccessLogging 

func (o AiEndpointDeployedModelOutput) EnableAccessLogging() pulumi.BoolPtrOutput

(Output) These logs are like standard server access logs, containing information like timestamp and latency for each prediction request. Note that Stackdriver logs may incur a cost, especially if your project receives prediction requests at a high queries per second rate (QPS). Estimate your costs before enabling this option.

func (AiEndpointDeployedModelOutput) EnableContainerLogging 

func (o AiEndpointDeployedModelOutput) EnableContainerLogging() pulumi.BoolPtrOutput

(Output) If true, the container of the DeployedModel instances will send `stderr` and `stdout` streams to Stackdriver Logging. Only supported for custom-trained Models and AutoML Tabular Models.

func (AiEndpointDeployedModelOutput) Id 

func (o AiEndpointDeployedModelOutput) Id() pulumi.StringPtrOutput

(Output) The ID of the DeployedModel. If not provided upon deployment, Vertex AI will generate a value for this ID. This value should be 1-10 characters, and valid characters are /[0-9]/.

func (AiEndpointDeployedModelOutput) Model 

func (o AiEndpointDeployedModelOutput) Model() pulumi.StringPtrOutput

(Output) The name of the Model that this is the deployment of. Note that the Model may be in a different location than the DeployedModel's Endpoint.

func (AiEndpointDeployedModelOutput) ModelVersionId 

func (o AiEndpointDeployedModelOutput) ModelVersionId() pulumi.StringPtrOutput

(Output) Output only. The version ID of the model that is deployed.

func (AiEndpointDeployedModelOutput) PrivateEndpoints 

func (o AiEndpointDeployedModelOutput) PrivateEndpoints() AiEndpointDeployedModelPrivateEndpointArrayOutput

(Output) Output only. Provide paths for users to send predict/explain/health requests directly to the deployed model services running on Cloud via private services access. This field is populated if network is configured. Structure is documented below.

func (AiEndpointDeployedModelOutput) ServiceAccount 

func (o AiEndpointDeployedModelOutput) ServiceAccount() pulumi.StringPtrOutput

(Output) The service account that the DeployedModel's container runs as. Specify the email address of the service account. If this service account is not specified, the container runs as a service account that doesn't have access to the resource project. Users deploying the Model must have the `iam.serviceAccounts.actAs` permission on this service account.

func (AiEndpointDeployedModelOutput) SharedResources 

func (o AiEndpointDeployedModelOutput) SharedResources() pulumi.StringPtrOutput

(Output) The resource name of the shared DeploymentResourcePool to deploy on. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}

func (AiEndpointDeployedModelOutput) ToAiEndpointDeployedModelOutput 

func (o AiEndpointDeployedModelOutput) ToAiEndpointDeployedModelOutput() AiEndpointDeployedModelOutput

func (AiEndpointDeployedModelOutput) ToAiEndpointDeployedModelOutputWithContext 

func (o AiEndpointDeployedModelOutput) ToAiEndpointDeployedModelOutputWithContext(ctx context.Context) AiEndpointDeployedModelOutput

type AiEndpointDeployedModelPrivateEndpoint 

type AiEndpointDeployedModelPrivateEndpoint struct {
	// (Output)
	// Output only. Http(s) path to send explain requests.
	ExplainHttpUri *string `pulumi:"explainHttpUri"`
	// (Output)
	// Output only. Http(s) path to send health check requests.
	HealthHttpUri *string `pulumi:"healthHttpUri"`
	// (Output)
	// Output only. Http(s) path to send prediction requests.
	PredictHttpUri *string `pulumi:"predictHttpUri"`
	// (Output)
	// Output only. The name of the service attachment resource. Populated if private service connect is enabled.
	ServiceAttachment *string `pulumi:"serviceAttachment"`
}

type AiEndpointDeployedModelPrivateEndpointArgs 

type AiEndpointDeployedModelPrivateEndpointArgs struct {
	// (Output)
	// Output only. Http(s) path to send explain requests.
	ExplainHttpUri pulumi.StringPtrInput `pulumi:"explainHttpUri"`
	// (Output)
	// Output only. Http(s) path to send health check requests.
	HealthHttpUri pulumi.StringPtrInput `pulumi:"healthHttpUri"`
	// (Output)
	// Output only. Http(s) path to send prediction requests.
	PredictHttpUri pulumi.StringPtrInput `pulumi:"predictHttpUri"`
	// (Output)
	// Output only. The name of the service attachment resource. Populated if private service connect is enabled.
	ServiceAttachment pulumi.StringPtrInput `pulumi:"serviceAttachment"`
}

func (AiEndpointDeployedModelPrivateEndpointArgs) ElementType 

func (AiEndpointDeployedModelPrivateEndpointArgs) ElementType() reflect.Type

func (AiEndpointDeployedModelPrivateEndpointArgs) ToAiEndpointDeployedModelPrivateEndpointOutput 

func (i AiEndpointDeployedModelPrivateEndpointArgs) ToAiEndpointDeployedModelPrivateEndpointOutput() AiEndpointDeployedModelPrivateEndpointOutput

func (AiEndpointDeployedModelPrivateEndpointArgs) ToAiEndpointDeployedModelPrivateEndpointOutputWithContext 

func (i AiEndpointDeployedModelPrivateEndpointArgs) ToAiEndpointDeployedModelPrivateEndpointOutputWithContext(ctx context.Context) AiEndpointDeployedModelPrivateEndpointOutput

type AiEndpointDeployedModelPrivateEndpointArray 

type AiEndpointDeployedModelPrivateEndpointArray []AiEndpointDeployedModelPrivateEndpointInput

func (AiEndpointDeployedModelPrivateEndpointArray) ElementType 

func (AiEndpointDeployedModelPrivateEndpointArray) ElementType() reflect.Type

func (AiEndpointDeployedModelPrivateEndpointArray) ToAiEndpointDeployedModelPrivateEndpointArrayOutput 

func (i AiEndpointDeployedModelPrivateEndpointArray) ToAiEndpointDeployedModelPrivateEndpointArrayOutput() AiEndpointDeployedModelPrivateEndpointArrayOutput

func (AiEndpointDeployedModelPrivateEndpointArray) ToAiEndpointDeployedModelPrivateEndpointArrayOutputWithContext 

func (i AiEndpointDeployedModelPrivateEndpointArray) ToAiEndpointDeployedModelPrivateEndpointArrayOutputWithContext(ctx context.Context) AiEndpointDeployedModelPrivateEndpointArrayOutput

type AiEndpointDeployedModelPrivateEndpointArrayInput 

type AiEndpointDeployedModelPrivateEndpointArrayInput interface {
	pulumi.Input

	ToAiEndpointDeployedModelPrivateEndpointArrayOutput() AiEndpointDeployedModelPrivateEndpointArrayOutput
	ToAiEndpointDeployedModelPrivateEndpointArrayOutputWithContext(context.Context) AiEndpointDeployedModelPrivateEndpointArrayOutput
}

AiEndpointDeployedModelPrivateEndpointArrayInput is an input type that accepts AiEndpointDeployedModelPrivateEndpointArray and AiEndpointDeployedModelPrivateEndpointArrayOutput values. You can construct a concrete instance of `AiEndpointDeployedModelPrivateEndpointArrayInput` via: 

AiEndpointDeployedModelPrivateEndpointArray{ AiEndpointDeployedModelPrivateEndpointArgs{...} }

type AiEndpointDeployedModelPrivateEndpointArrayOutput 

type AiEndpointDeployedModelPrivateEndpointArrayOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelPrivateEndpointArrayOutput) ElementType 

func (AiEndpointDeployedModelPrivateEndpointArrayOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelPrivateEndpointArrayOutput) Index 

func (o AiEndpointDeployedModelPrivateEndpointArrayOutput) Index(i pulumi.IntInput) AiEndpointDeployedModelPrivateEndpointOutput

func (AiEndpointDeployedModelPrivateEndpointArrayOutput) ToAiEndpointDeployedModelPrivateEndpointArrayOutput 

func (o AiEndpointDeployedModelPrivateEndpointArrayOutput) ToAiEndpointDeployedModelPrivateEndpointArrayOutput() AiEndpointDeployedModelPrivateEndpointArrayOutput

func (AiEndpointDeployedModelPrivateEndpointArrayOutput) ToAiEndpointDeployedModelPrivateEndpointArrayOutputWithContext 

func (o AiEndpointDeployedModelPrivateEndpointArrayOutput) ToAiEndpointDeployedModelPrivateEndpointArrayOutputWithContext(ctx context.Context) AiEndpointDeployedModelPrivateEndpointArrayOutput

type AiEndpointDeployedModelPrivateEndpointInput 

type AiEndpointDeployedModelPrivateEndpointInput interface {
	pulumi.Input

	ToAiEndpointDeployedModelPrivateEndpointOutput() AiEndpointDeployedModelPrivateEndpointOutput
	ToAiEndpointDeployedModelPrivateEndpointOutputWithContext(context.Context) AiEndpointDeployedModelPrivateEndpointOutput
}

AiEndpointDeployedModelPrivateEndpointInput is an input type that accepts AiEndpointDeployedModelPrivateEndpointArgs and AiEndpointDeployedModelPrivateEndpointOutput values. You can construct a concrete instance of `AiEndpointDeployedModelPrivateEndpointInput` via: 

AiEndpointDeployedModelPrivateEndpointArgs{...}

type AiEndpointDeployedModelPrivateEndpointOutput 

type AiEndpointDeployedModelPrivateEndpointOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelPrivateEndpointOutput) ElementType 

func (AiEndpointDeployedModelPrivateEndpointOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelPrivateEndpointOutput) ExplainHttpUri 

func (o AiEndpointDeployedModelPrivateEndpointOutput) ExplainHttpUri() pulumi.StringPtrOutput

(Output) Output only. Http(s) path to send explain requests.

func (AiEndpointDeployedModelPrivateEndpointOutput) HealthHttpUri 

func (o AiEndpointDeployedModelPrivateEndpointOutput) HealthHttpUri() pulumi.StringPtrOutput

(Output) Output only. Http(s) path to send health check requests.

func (AiEndpointDeployedModelPrivateEndpointOutput) PredictHttpUri 

func (o AiEndpointDeployedModelPrivateEndpointOutput) PredictHttpUri() pulumi.StringPtrOutput

(Output) Output only. Http(s) path to send prediction requests.

func (AiEndpointDeployedModelPrivateEndpointOutput) ServiceAttachment 

func (o AiEndpointDeployedModelPrivateEndpointOutput) ServiceAttachment() pulumi.StringPtrOutput

(Output) Output only. The name of the service attachment resource. Populated if private service connect is enabled.

func (AiEndpointDeployedModelPrivateEndpointOutput) ToAiEndpointDeployedModelPrivateEndpointOutput 

func (o AiEndpointDeployedModelPrivateEndpointOutput) ToAiEndpointDeployedModelPrivateEndpointOutput() AiEndpointDeployedModelPrivateEndpointOutput

func (AiEndpointDeployedModelPrivateEndpointOutput) ToAiEndpointDeployedModelPrivateEndpointOutputWithContext 

func (o AiEndpointDeployedModelPrivateEndpointOutput) ToAiEndpointDeployedModelPrivateEndpointOutputWithContext(ctx context.Context) AiEndpointDeployedModelPrivateEndpointOutput

type AiEndpointEncryptionSpec 

type AiEndpointEncryptionSpec struct {
	// Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`. The key needs to be in the same region as where the compute resource is created.
	KmsKeyName string `pulumi:"kmsKeyName"`
}

type AiEndpointEncryptionSpecArgs 

type AiEndpointEncryptionSpecArgs struct {
	// Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`. The key needs to be in the same region as where the compute resource is created.
	KmsKeyName pulumi.StringInput `pulumi:"kmsKeyName"`
}

func (AiEndpointEncryptionSpecArgs) ElementType 

func (AiEndpointEncryptionSpecArgs) ElementType() reflect.Type

func (AiEndpointEncryptionSpecArgs) ToAiEndpointEncryptionSpecOutput 

func (i AiEndpointEncryptionSpecArgs) ToAiEndpointEncryptionSpecOutput() AiEndpointEncryptionSpecOutput

func (AiEndpointEncryptionSpecArgs) ToAiEndpointEncryptionSpecOutputWithContext 

func (i AiEndpointEncryptionSpecArgs) ToAiEndpointEncryptionSpecOutputWithContext(ctx context.Context) AiEndpointEncryptionSpecOutput

func (AiEndpointEncryptionSpecArgs) ToAiEndpointEncryptionSpecPtrOutput 

func (i AiEndpointEncryptionSpecArgs) ToAiEndpointEncryptionSpecPtrOutput() AiEndpointEncryptionSpecPtrOutput

func (AiEndpointEncryptionSpecArgs) ToAiEndpointEncryptionSpecPtrOutputWithContext 

func (i AiEndpointEncryptionSpecArgs) ToAiEndpointEncryptionSpecPtrOutputWithContext(ctx context.Context) AiEndpointEncryptionSpecPtrOutput

type AiEndpointEncryptionSpecInput 

type AiEndpointEncryptionSpecInput interface {
	pulumi.Input

	ToAiEndpointEncryptionSpecOutput() AiEndpointEncryptionSpecOutput
	ToAiEndpointEncryptionSpecOutputWithContext(context.Context) AiEndpointEncryptionSpecOutput
}

AiEndpointEncryptionSpecInput is an input type that accepts AiEndpointEncryptionSpecArgs and AiEndpointEncryptionSpecOutput values. You can construct a concrete instance of `AiEndpointEncryptionSpecInput` via: 

AiEndpointEncryptionSpecArgs{...}

type AiEndpointEncryptionSpecOutput 

type AiEndpointEncryptionSpecOutput struct{ *pulumi.OutputState }

func (AiEndpointEncryptionSpecOutput) ElementType 

func (AiEndpointEncryptionSpecOutput) ElementType() reflect.Type

func (AiEndpointEncryptionSpecOutput) KmsKeyName 

func (o AiEndpointEncryptionSpecOutput) KmsKeyName() pulumi.StringOutput

Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`. The key needs to be in the same region as where the compute resource is created.

func (AiEndpointEncryptionSpecOutput) ToAiEndpointEncryptionSpecOutput 

func (o AiEndpointEncryptionSpecOutput) ToAiEndpointEncryptionSpecOutput() AiEndpointEncryptionSpecOutput

func (AiEndpointEncryptionSpecOutput) ToAiEndpointEncryptionSpecOutputWithContext 

func (o AiEndpointEncryptionSpecOutput) ToAiEndpointEncryptionSpecOutputWithContext(ctx context.Context) AiEndpointEncryptionSpecOutput

func (AiEndpointEncryptionSpecOutput) ToAiEndpointEncryptionSpecPtrOutput 

func (o AiEndpointEncryptionSpecOutput) ToAiEndpointEncryptionSpecPtrOutput() AiEndpointEncryptionSpecPtrOutput

func (AiEndpointEncryptionSpecOutput) ToAiEndpointEncryptionSpecPtrOutputWithContext 

func (o AiEndpointEncryptionSpecOutput) ToAiEndpointEncryptionSpecPtrOutputWithContext(ctx context.Context) AiEndpointEncryptionSpecPtrOutput

type AiEndpointEncryptionSpecPtrInput 

type AiEndpointEncryptionSpecPtrInput interface {
	pulumi.Input

	ToAiEndpointEncryptionSpecPtrOutput() AiEndpointEncryptionSpecPtrOutput
	ToAiEndpointEncryptionSpecPtrOutputWithContext(context.Context) AiEndpointEncryptionSpecPtrOutput
}

AiEndpointEncryptionSpecPtrInput is an input type that accepts AiEndpointEncryptionSpecArgs, AiEndpointEncryptionSpecPtr and AiEndpointEncryptionSpecPtrOutput values. You can construct a concrete instance of `AiEndpointEncryptionSpecPtrInput` via: 

        AiEndpointEncryptionSpecArgs{...}

or:

        nil

func AiEndpointEncryptionSpecPtr 

func AiEndpointEncryptionSpecPtr(v *AiEndpointEncryptionSpecArgs) AiEndpointEncryptionSpecPtrInput

type AiEndpointEncryptionSpecPtrOutput 

type AiEndpointEncryptionSpecPtrOutput struct{ *pulumi.OutputState }

func (AiEndpointEncryptionSpecPtrOutput) Elem 

func (o AiEndpointEncryptionSpecPtrOutput) Elem() AiEndpointEncryptionSpecOutput

func (AiEndpointEncryptionSpecPtrOutput) ElementType 

func (AiEndpointEncryptionSpecPtrOutput) ElementType() reflect.Type

func (AiEndpointEncryptionSpecPtrOutput) KmsKeyName 

func (o AiEndpointEncryptionSpecPtrOutput) KmsKeyName() pulumi.StringPtrOutput

Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`. The key needs to be in the same region as where the compute resource is created.

func (AiEndpointEncryptionSpecPtrOutput) ToAiEndpointEncryptionSpecPtrOutput 

func (o AiEndpointEncryptionSpecPtrOutput) ToAiEndpointEncryptionSpecPtrOutput() AiEndpointEncryptionSpecPtrOutput

func (AiEndpointEncryptionSpecPtrOutput) ToAiEndpointEncryptionSpecPtrOutputWithContext 

func (o AiEndpointEncryptionSpecPtrOutput) ToAiEndpointEncryptionSpecPtrOutputWithContext(ctx context.Context) AiEndpointEncryptionSpecPtrOutput

type AiEndpointIamBinding 

type AiEndpointIamBinding struct {
	pulumi.CustomResourceState

	Condition AiEndpointIamBindingConditionPtrOutput `pulumi:"condition"`
	Endpoint  pulumi.StringOutput                    `pulumi:"endpoint"`
	Etag      pulumi.StringOutput                    `pulumi:"etag"`
	Location  pulumi.StringOutput                    `pulumi:"location"`
	Members   pulumi.StringArrayOutput               `pulumi:"members"`
	Project   pulumi.StringOutput                    `pulumi:"project"`
	Role      pulumi.StringOutput                    `pulumi:"role"`
}

func GetAiEndpointIamBinding 

func GetAiEndpointIamBinding(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiEndpointIamBindingState, opts ...pulumi.ResourceOption) (*AiEndpointIamBinding, error)

GetAiEndpointIamBinding gets an existing AiEndpointIamBinding resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiEndpointIamBinding 

func NewAiEndpointIamBinding(ctx *pulumi.Context,
	name string, args *AiEndpointIamBindingArgs, opts ...pulumi.ResourceOption) (*AiEndpointIamBinding, error)

NewAiEndpointIamBinding registers a new resource with the given unique name, arguments, and options.

func (*AiEndpointIamBinding) ElementType 

func (*AiEndpointIamBinding) ElementType() reflect.Type

func (*AiEndpointIamBinding) ToAiEndpointIamBindingOutput 

func (i *AiEndpointIamBinding) ToAiEndpointIamBindingOutput() AiEndpointIamBindingOutput

func (*AiEndpointIamBinding) ToAiEndpointIamBindingOutputWithContext 

func (i *AiEndpointIamBinding) ToAiEndpointIamBindingOutputWithContext(ctx context.Context) AiEndpointIamBindingOutput

type AiEndpointIamBindingArgs 

type AiEndpointIamBindingArgs struct {
	Condition AiEndpointIamBindingConditionPtrInput
	Endpoint  pulumi.StringInput
	Location  pulumi.StringPtrInput
	Members   pulumi.StringArrayInput
	Project   pulumi.StringPtrInput
	Role      pulumi.StringInput
}

The set of arguments for constructing a AiEndpointIamBinding resource.

func (AiEndpointIamBindingArgs) ElementType 

func (AiEndpointIamBindingArgs) ElementType() reflect.Type

type AiEndpointIamBindingArray 

type AiEndpointIamBindingArray []AiEndpointIamBindingInput

func (AiEndpointIamBindingArray) ElementType 

func (AiEndpointIamBindingArray) ElementType() reflect.Type

func (AiEndpointIamBindingArray) ToAiEndpointIamBindingArrayOutput 

func (i AiEndpointIamBindingArray) ToAiEndpointIamBindingArrayOutput() AiEndpointIamBindingArrayOutput

func (AiEndpointIamBindingArray) ToAiEndpointIamBindingArrayOutputWithContext 

func (i AiEndpointIamBindingArray) ToAiEndpointIamBindingArrayOutputWithContext(ctx context.Context) AiEndpointIamBindingArrayOutput

type AiEndpointIamBindingArrayInput 

type AiEndpointIamBindingArrayInput interface {
	pulumi.Input

	ToAiEndpointIamBindingArrayOutput() AiEndpointIamBindingArrayOutput
	ToAiEndpointIamBindingArrayOutputWithContext(context.Context) AiEndpointIamBindingArrayOutput
}

AiEndpointIamBindingArrayInput is an input type that accepts AiEndpointIamBindingArray and AiEndpointIamBindingArrayOutput values. You can construct a concrete instance of `AiEndpointIamBindingArrayInput` via: 

AiEndpointIamBindingArray{ AiEndpointIamBindingArgs{...} }

type AiEndpointIamBindingArrayOutput 

type AiEndpointIamBindingArrayOutput struct{ *pulumi.OutputState }

func (AiEndpointIamBindingArrayOutput) ElementType 

func (AiEndpointIamBindingArrayOutput) ElementType() reflect.Type

func (AiEndpointIamBindingArrayOutput) Index 

func (o AiEndpointIamBindingArrayOutput) Index(i pulumi.IntInput) AiEndpointIamBindingOutput

func (AiEndpointIamBindingArrayOutput) ToAiEndpointIamBindingArrayOutput 

func (o AiEndpointIamBindingArrayOutput) ToAiEndpointIamBindingArrayOutput() AiEndpointIamBindingArrayOutput

func (AiEndpointIamBindingArrayOutput) ToAiEndpointIamBindingArrayOutputWithContext 

func (o AiEndpointIamBindingArrayOutput) ToAiEndpointIamBindingArrayOutputWithContext(ctx context.Context) AiEndpointIamBindingArrayOutput

type AiEndpointIamBindingCondition 

type AiEndpointIamBindingCondition struct {
	Description *string `pulumi:"description"`
	Expression  string  `pulumi:"expression"`
	Title       string  `pulumi:"title"`
}

type AiEndpointIamBindingConditionArgs 

type AiEndpointIamBindingConditionArgs struct {
	Description pulumi.StringPtrInput `pulumi:"description"`
	Expression  pulumi.StringInput    `pulumi:"expression"`
	Title       pulumi.StringInput    `pulumi:"title"`
}

func (AiEndpointIamBindingConditionArgs) ElementType 

func (AiEndpointIamBindingConditionArgs) ElementType() reflect.Type

func (AiEndpointIamBindingConditionArgs) ToAiEndpointIamBindingConditionOutput 

func (i AiEndpointIamBindingConditionArgs) ToAiEndpointIamBindingConditionOutput() AiEndpointIamBindingConditionOutput

func (AiEndpointIamBindingConditionArgs) ToAiEndpointIamBindingConditionOutputWithContext 

func (i AiEndpointIamBindingConditionArgs) ToAiEndpointIamBindingConditionOutputWithContext(ctx context.Context) AiEndpointIamBindingConditionOutput

func (AiEndpointIamBindingConditionArgs) ToAiEndpointIamBindingConditionPtrOutput 

func (i AiEndpointIamBindingConditionArgs) ToAiEndpointIamBindingConditionPtrOutput() AiEndpointIamBindingConditionPtrOutput

func (AiEndpointIamBindingConditionArgs) ToAiEndpointIamBindingConditionPtrOutputWithContext 

func (i AiEndpointIamBindingConditionArgs) ToAiEndpointIamBindingConditionPtrOutputWithContext(ctx context.Context) AiEndpointIamBindingConditionPtrOutput

type AiEndpointIamBindingConditionInput 

type AiEndpointIamBindingConditionInput interface {
	pulumi.Input

	ToAiEndpointIamBindingConditionOutput() AiEndpointIamBindingConditionOutput
	ToAiEndpointIamBindingConditionOutputWithContext(context.Context) AiEndpointIamBindingConditionOutput
}

AiEndpointIamBindingConditionInput is an input type that accepts AiEndpointIamBindingConditionArgs and AiEndpointIamBindingConditionOutput values. You can construct a concrete instance of `AiEndpointIamBindingConditionInput` via: 

AiEndpointIamBindingConditionArgs{...}

type AiEndpointIamBindingConditionOutput 

type AiEndpointIamBindingConditionOutput struct{ *pulumi.OutputState }

func (AiEndpointIamBindingConditionOutput) Description 

func (o AiEndpointIamBindingConditionOutput) Description() pulumi.StringPtrOutput

func (AiEndpointIamBindingConditionOutput) ElementType 

func (AiEndpointIamBindingConditionOutput) ElementType() reflect.Type

func (AiEndpointIamBindingConditionOutput) Expression 

func (o AiEndpointIamBindingConditionOutput) Expression() pulumi.StringOutput

func (AiEndpointIamBindingConditionOutput) Title 

func (o AiEndpointIamBindingConditionOutput) Title() pulumi.StringOutput

func (AiEndpointIamBindingConditionOutput) ToAiEndpointIamBindingConditionOutput 

func (o AiEndpointIamBindingConditionOutput) ToAiEndpointIamBindingConditionOutput() AiEndpointIamBindingConditionOutput

func (AiEndpointIamBindingConditionOutput) ToAiEndpointIamBindingConditionOutputWithContext 

func (o AiEndpointIamBindingConditionOutput) ToAiEndpointIamBindingConditionOutputWithContext(ctx context.Context) AiEndpointIamBindingConditionOutput

func (AiEndpointIamBindingConditionOutput) ToAiEndpointIamBindingConditionPtrOutput 

func (o AiEndpointIamBindingConditionOutput) ToAiEndpointIamBindingConditionPtrOutput() AiEndpointIamBindingConditionPtrOutput

func (AiEndpointIamBindingConditionOutput) ToAiEndpointIamBindingConditionPtrOutputWithContext 

func (o AiEndpointIamBindingConditionOutput) ToAiEndpointIamBindingConditionPtrOutputWithContext(ctx context.Context) AiEndpointIamBindingConditionPtrOutput

type AiEndpointIamBindingConditionPtrInput 

type AiEndpointIamBindingConditionPtrInput interface {
	pulumi.Input

	ToAiEndpointIamBindingConditionPtrOutput() AiEndpointIamBindingConditionPtrOutput
	ToAiEndpointIamBindingConditionPtrOutputWithContext(context.Context) AiEndpointIamBindingConditionPtrOutput
}

AiEndpointIamBindingConditionPtrInput is an input type that accepts AiEndpointIamBindingConditionArgs, AiEndpointIamBindingConditionPtr and AiEndpointIamBindingConditionPtrOutput values. You can construct a concrete instance of `AiEndpointIamBindingConditionPtrInput` via: 

        AiEndpointIamBindingConditionArgs{...}

or:

        nil

func AiEndpointIamBindingConditionPtr 

func AiEndpointIamBindingConditionPtr(v *AiEndpointIamBindingConditionArgs) AiEndpointIamBindingConditionPtrInput

type AiEndpointIamBindingConditionPtrOutput 

type AiEndpointIamBindingConditionPtrOutput struct{ *pulumi.OutputState }

func (AiEndpointIamBindingConditionPtrOutput) Description 

func (o AiEndpointIamBindingConditionPtrOutput) Description() pulumi.StringPtrOutput

func (AiEndpointIamBindingConditionPtrOutput) Elem 

func (o AiEndpointIamBindingConditionPtrOutput) Elem() AiEndpointIamBindingConditionOutput

func (AiEndpointIamBindingConditionPtrOutput) ElementType 

func (AiEndpointIamBindingConditionPtrOutput) ElementType() reflect.Type

func (AiEndpointIamBindingConditionPtrOutput) Expression 

func (o AiEndpointIamBindingConditionPtrOutput) Expression() pulumi.StringPtrOutput

func (AiEndpointIamBindingConditionPtrOutput) Title 

func (o AiEndpointIamBindingConditionPtrOutput) Title() pulumi.StringPtrOutput

func (AiEndpointIamBindingConditionPtrOutput) ToAiEndpointIamBindingConditionPtrOutput 

func (o AiEndpointIamBindingConditionPtrOutput) ToAiEndpointIamBindingConditionPtrOutput() AiEndpointIamBindingConditionPtrOutput

func (AiEndpointIamBindingConditionPtrOutput) ToAiEndpointIamBindingConditionPtrOutputWithContext 

func (o AiEndpointIamBindingConditionPtrOutput) ToAiEndpointIamBindingConditionPtrOutputWithContext(ctx context.Context) AiEndpointIamBindingConditionPtrOutput

type AiEndpointIamBindingInput 

type AiEndpointIamBindingInput interface {
	pulumi.Input

	ToAiEndpointIamBindingOutput() AiEndpointIamBindingOutput
	ToAiEndpointIamBindingOutputWithContext(ctx context.Context) AiEndpointIamBindingOutput
}

type AiEndpointIamBindingMap 

type AiEndpointIamBindingMap map[string]AiEndpointIamBindingInput

func (AiEndpointIamBindingMap) ElementType 

func (AiEndpointIamBindingMap) ElementType() reflect.Type

func (AiEndpointIamBindingMap) ToAiEndpointIamBindingMapOutput 

func (i AiEndpointIamBindingMap) ToAiEndpointIamBindingMapOutput() AiEndpointIamBindingMapOutput

func (AiEndpointIamBindingMap) ToAiEndpointIamBindingMapOutputWithContext 

func (i AiEndpointIamBindingMap) ToAiEndpointIamBindingMapOutputWithContext(ctx context.Context) AiEndpointIamBindingMapOutput

type AiEndpointIamBindingMapInput 

type AiEndpointIamBindingMapInput interface {
	pulumi.Input

	ToAiEndpointIamBindingMapOutput() AiEndpointIamBindingMapOutput
	ToAiEndpointIamBindingMapOutputWithContext(context.Context) AiEndpointIamBindingMapOutput
}

AiEndpointIamBindingMapInput is an input type that accepts AiEndpointIamBindingMap and AiEndpointIamBindingMapOutput values. You can construct a concrete instance of `AiEndpointIamBindingMapInput` via: 

AiEndpointIamBindingMap{ "key": AiEndpointIamBindingArgs{...} }

type AiEndpointIamBindingMapOutput 

type AiEndpointIamBindingMapOutput struct{ *pulumi.OutputState }

func (AiEndpointIamBindingMapOutput) ElementType 

func (AiEndpointIamBindingMapOutput) ElementType() reflect.Type

func (AiEndpointIamBindingMapOutput) MapIndex 

func (o AiEndpointIamBindingMapOutput) MapIndex(k pulumi.StringInput) AiEndpointIamBindingOutput

func (AiEndpointIamBindingMapOutput) ToAiEndpointIamBindingMapOutput 

func (o AiEndpointIamBindingMapOutput) ToAiEndpointIamBindingMapOutput() AiEndpointIamBindingMapOutput

func (AiEndpointIamBindingMapOutput) ToAiEndpointIamBindingMapOutputWithContext 

func (o AiEndpointIamBindingMapOutput) ToAiEndpointIamBindingMapOutputWithContext(ctx context.Context) AiEndpointIamBindingMapOutput

type AiEndpointIamBindingOutput 

type AiEndpointIamBindingOutput struct{ *pulumi.OutputState }

func (AiEndpointIamBindingOutput) Condition 

func (o AiEndpointIamBindingOutput) Condition() AiEndpointIamBindingConditionPtrOutput

func (AiEndpointIamBindingOutput) ElementType 

func (AiEndpointIamBindingOutput) ElementType() reflect.Type

func (AiEndpointIamBindingOutput) Endpoint 

func (o AiEndpointIamBindingOutput) Endpoint() pulumi.StringOutput

func (AiEndpointIamBindingOutput) Etag 

func (o AiEndpointIamBindingOutput) Etag() pulumi.StringOutput

func (AiEndpointIamBindingOutput) Location 

func (o AiEndpointIamBindingOutput) Location() pulumi.StringOutput

func (AiEndpointIamBindingOutput) Members 

func (o AiEndpointIamBindingOutput) Members() pulumi.StringArrayOutput

func (AiEndpointIamBindingOutput) Project 

func (o AiEndpointIamBindingOutput) Project() pulumi.StringOutput

func (AiEndpointIamBindingOutput) Role 

func (o AiEndpointIamBindingOutput) Role() pulumi.StringOutput

func (AiEndpointIamBindingOutput) ToAiEndpointIamBindingOutput 

func (o AiEndpointIamBindingOutput) ToAiEndpointIamBindingOutput() AiEndpointIamBindingOutput

func (AiEndpointIamBindingOutput) ToAiEndpointIamBindingOutputWithContext 

func (o AiEndpointIamBindingOutput) ToAiEndpointIamBindingOutputWithContext(ctx context.Context) AiEndpointIamBindingOutput

type AiEndpointIamBindingState 

type AiEndpointIamBindingState struct {
	Condition AiEndpointIamBindingConditionPtrInput
	Endpoint  pulumi.StringPtrInput
	Etag      pulumi.StringPtrInput
	Location  pulumi.StringPtrInput
	Members   pulumi.StringArrayInput
	Project   pulumi.StringPtrInput
	Role      pulumi.StringPtrInput
}

func (AiEndpointIamBindingState) ElementType 

func (AiEndpointIamBindingState) ElementType() reflect.Type

type AiEndpointIamMember 

type AiEndpointIamMember struct {
	pulumi.CustomResourceState

	Condition AiEndpointIamMemberConditionPtrOutput `pulumi:"condition"`
	Endpoint  pulumi.StringOutput                   `pulumi:"endpoint"`
	Etag      pulumi.StringOutput                   `pulumi:"etag"`
	Location  pulumi.StringOutput                   `pulumi:"location"`
	Member    pulumi.StringOutput                   `pulumi:"member"`
	Project   pulumi.StringOutput                   `pulumi:"project"`
	Role      pulumi.StringOutput                   `pulumi:"role"`
}

func GetAiEndpointIamMember 

func GetAiEndpointIamMember(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiEndpointIamMemberState, opts ...pulumi.ResourceOption) (*AiEndpointIamMember, error)

GetAiEndpointIamMember gets an existing AiEndpointIamMember resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiEndpointIamMember 

func NewAiEndpointIamMember(ctx *pulumi.Context,
	name string, args *AiEndpointIamMemberArgs, opts ...pulumi.ResourceOption) (*AiEndpointIamMember, error)

NewAiEndpointIamMember registers a new resource with the given unique name, arguments, and options.

func (*AiEndpointIamMember) ElementType 

func (*AiEndpointIamMember) ElementType() reflect.Type

func (*AiEndpointIamMember) ToAiEndpointIamMemberOutput 

func (i *AiEndpointIamMember) ToAiEndpointIamMemberOutput() AiEndpointIamMemberOutput

func (*AiEndpointIamMember) ToAiEndpointIamMemberOutputWithContext 

func (i *AiEndpointIamMember) ToAiEndpointIamMemberOutputWithContext(ctx context.Context) AiEndpointIamMemberOutput

type AiEndpointIamMemberArgs 

type AiEndpointIamMemberArgs struct {
	Condition AiEndpointIamMemberConditionPtrInput
	Endpoint  pulumi.StringInput
	Location  pulumi.StringPtrInput
	Member    pulumi.StringInput
	Project   pulumi.StringPtrInput
	Role      pulumi.StringInput
}

The set of arguments for constructing a AiEndpointIamMember resource.

func (AiEndpointIamMemberArgs) ElementType 

func (AiEndpointIamMemberArgs) ElementType() reflect.Type

type AiEndpointIamMemberArray 

type AiEndpointIamMemberArray []AiEndpointIamMemberInput

func (AiEndpointIamMemberArray) ElementType 

func (AiEndpointIamMemberArray) ElementType() reflect.Type

func (AiEndpointIamMemberArray) ToAiEndpointIamMemberArrayOutput 

func (i AiEndpointIamMemberArray) ToAiEndpointIamMemberArrayOutput() AiEndpointIamMemberArrayOutput

func (AiEndpointIamMemberArray) ToAiEndpointIamMemberArrayOutputWithContext 

func (i AiEndpointIamMemberArray) ToAiEndpointIamMemberArrayOutputWithContext(ctx context.Context) AiEndpointIamMemberArrayOutput

type AiEndpointIamMemberArrayInput 

type AiEndpointIamMemberArrayInput interface {
	pulumi.Input

	ToAiEndpointIamMemberArrayOutput() AiEndpointIamMemberArrayOutput
	ToAiEndpointIamMemberArrayOutputWithContext(context.Context) AiEndpointIamMemberArrayOutput
}

AiEndpointIamMemberArrayInput is an input type that accepts AiEndpointIamMemberArray and AiEndpointIamMemberArrayOutput values. You can construct a concrete instance of `AiEndpointIamMemberArrayInput` via: 

AiEndpointIamMemberArray{ AiEndpointIamMemberArgs{...} }

type AiEndpointIamMemberArrayOutput 

type AiEndpointIamMemberArrayOutput struct{ *pulumi.OutputState }

func (AiEndpointIamMemberArrayOutput) ElementType 

func (AiEndpointIamMemberArrayOutput) ElementType() reflect.Type

func (AiEndpointIamMemberArrayOutput) Index 

func (o AiEndpointIamMemberArrayOutput) Index(i pulumi.IntInput) AiEndpointIamMemberOutput

func (AiEndpointIamMemberArrayOutput) ToAiEndpointIamMemberArrayOutput 

func (o AiEndpointIamMemberArrayOutput) ToAiEndpointIamMemberArrayOutput() AiEndpointIamMemberArrayOutput

func (AiEndpointIamMemberArrayOutput) ToAiEndpointIamMemberArrayOutputWithContext 

func (o AiEndpointIamMemberArrayOutput) ToAiEndpointIamMemberArrayOutputWithContext(ctx context.Context) AiEndpointIamMemberArrayOutput

type AiEndpointIamMemberCondition 

type AiEndpointIamMemberCondition struct {
	Description *string `pulumi:"description"`
	Expression  string  `pulumi:"expression"`
	Title       string  `pulumi:"title"`
}

type AiEndpointIamMemberConditionArgs 

type AiEndpointIamMemberConditionArgs struct {
	Description pulumi.StringPtrInput `pulumi:"description"`
	Expression  pulumi.StringInput    `pulumi:"expression"`
	Title       pulumi.StringInput    `pulumi:"title"`
}

func (AiEndpointIamMemberConditionArgs) ElementType 

func (AiEndpointIamMemberConditionArgs) ElementType() reflect.Type

func (AiEndpointIamMemberConditionArgs) ToAiEndpointIamMemberConditionOutput 

func (i AiEndpointIamMemberConditionArgs) ToAiEndpointIamMemberConditionOutput() AiEndpointIamMemberConditionOutput

func (AiEndpointIamMemberConditionArgs) ToAiEndpointIamMemberConditionOutputWithContext 

func (i AiEndpointIamMemberConditionArgs) ToAiEndpointIamMemberConditionOutputWithContext(ctx context.Context) AiEndpointIamMemberConditionOutput

func (AiEndpointIamMemberConditionArgs) ToAiEndpointIamMemberConditionPtrOutput 

func (i AiEndpointIamMemberConditionArgs) ToAiEndpointIamMemberConditionPtrOutput() AiEndpointIamMemberConditionPtrOutput

func (AiEndpointIamMemberConditionArgs) ToAiEndpointIamMemberConditionPtrOutputWithContext 

func (i AiEndpointIamMemberConditionArgs) ToAiEndpointIamMemberConditionPtrOutputWithContext(ctx context.Context) AiEndpointIamMemberConditionPtrOutput

type AiEndpointIamMemberConditionInput 

type AiEndpointIamMemberConditionInput interface {
	pulumi.Input

	ToAiEndpointIamMemberConditionOutput() AiEndpointIamMemberConditionOutput
	ToAiEndpointIamMemberConditionOutputWithContext(context.Context) AiEndpointIamMemberConditionOutput
}

AiEndpointIamMemberConditionInput is an input type that accepts AiEndpointIamMemberConditionArgs and AiEndpointIamMemberConditionOutput values. You can construct a concrete instance of `AiEndpointIamMemberConditionInput` via: 

AiEndpointIamMemberConditionArgs{...}

type AiEndpointIamMemberConditionOutput 

type AiEndpointIamMemberConditionOutput struct{ *pulumi.OutputState }

func (AiEndpointIamMemberConditionOutput) Description 

func (o AiEndpointIamMemberConditionOutput) Description() pulumi.StringPtrOutput

func (AiEndpointIamMemberConditionOutput) ElementType 

func (AiEndpointIamMemberConditionOutput) ElementType() reflect.Type

func (AiEndpointIamMemberConditionOutput) Expression 

func (o AiEndpointIamMemberConditionOutput) Expression() pulumi.StringOutput

func (AiEndpointIamMemberConditionOutput) Title 

func (o AiEndpointIamMemberConditionOutput) Title() pulumi.StringOutput

func (AiEndpointIamMemberConditionOutput) ToAiEndpointIamMemberConditionOutput 

func (o AiEndpointIamMemberConditionOutput) ToAiEndpointIamMemberConditionOutput() AiEndpointIamMemberConditionOutput

func (AiEndpointIamMemberConditionOutput) ToAiEndpointIamMemberConditionOutputWithContext 

func (o AiEndpointIamMemberConditionOutput) ToAiEndpointIamMemberConditionOutputWithContext(ctx context.Context) AiEndpointIamMemberConditionOutput

func (AiEndpointIamMemberConditionOutput) ToAiEndpointIamMemberConditionPtrOutput 

func (o AiEndpointIamMemberConditionOutput) ToAiEndpointIamMemberConditionPtrOutput() AiEndpointIamMemberConditionPtrOutput

func (AiEndpointIamMemberConditionOutput) ToAiEndpointIamMemberConditionPtrOutputWithContext 

func (o AiEndpointIamMemberConditionOutput) ToAiEndpointIamMemberConditionPtrOutputWithContext(ctx context.Context) AiEndpointIamMemberConditionPtrOutput

type AiEndpointIamMemberConditionPtrInput 

type AiEndpointIamMemberConditionPtrInput interface {
	pulumi.Input

	ToAiEndpointIamMemberConditionPtrOutput() AiEndpointIamMemberConditionPtrOutput
	ToAiEndpointIamMemberConditionPtrOutputWithContext(context.Context) AiEndpointIamMemberConditionPtrOutput
}

AiEndpointIamMemberConditionPtrInput is an input type that accepts AiEndpointIamMemberConditionArgs, AiEndpointIamMemberConditionPtr and AiEndpointIamMemberConditionPtrOutput values. You can construct a concrete instance of `AiEndpointIamMemberConditionPtrInput` via: 

        AiEndpointIamMemberConditionArgs{...}

or:

        nil

func AiEndpointIamMemberConditionPtr 

func AiEndpointIamMemberConditionPtr(v *AiEndpointIamMemberConditionArgs) AiEndpointIamMemberConditionPtrInput

type AiEndpointIamMemberConditionPtrOutput 

type AiEndpointIamMemberConditionPtrOutput struct{ *pulumi.OutputState }

func (AiEndpointIamMemberConditionPtrOutput) Description 

func (o AiEndpointIamMemberConditionPtrOutput) Description() pulumi.StringPtrOutput

func (AiEndpointIamMemberConditionPtrOutput) Elem 

func (o AiEndpointIamMemberConditionPtrOutput) Elem() AiEndpointIamMemberConditionOutput

func (AiEndpointIamMemberConditionPtrOutput) ElementType 

func (AiEndpointIamMemberConditionPtrOutput) ElementType() reflect.Type

func (AiEndpointIamMemberConditionPtrOutput) Expression 

func (o AiEndpointIamMemberConditionPtrOutput) Expression() pulumi.StringPtrOutput

func (AiEndpointIamMemberConditionPtrOutput) Title 

func (o AiEndpointIamMemberConditionPtrOutput) Title() pulumi.StringPtrOutput

func (AiEndpointIamMemberConditionPtrOutput) ToAiEndpointIamMemberConditionPtrOutput 

func (o AiEndpointIamMemberConditionPtrOutput) ToAiEndpointIamMemberConditionPtrOutput() AiEndpointIamMemberConditionPtrOutput

func (AiEndpointIamMemberConditionPtrOutput) ToAiEndpointIamMemberConditionPtrOutputWithContext 

func (o AiEndpointIamMemberConditionPtrOutput) ToAiEndpointIamMemberConditionPtrOutputWithContext(ctx context.Context) AiEndpointIamMemberConditionPtrOutput

type AiEndpointIamMemberInput 

type AiEndpointIamMemberInput interface {
	pulumi.Input

	ToAiEndpointIamMemberOutput() AiEndpointIamMemberOutput
	ToAiEndpointIamMemberOutputWithContext(ctx context.Context) AiEndpointIamMemberOutput
}

type AiEndpointIamMemberMap 

type AiEndpointIamMemberMap map[string]AiEndpointIamMemberInput

func (AiEndpointIamMemberMap) ElementType 

func (AiEndpointIamMemberMap) ElementType() reflect.Type

func (AiEndpointIamMemberMap) ToAiEndpointIamMemberMapOutput 

func (i AiEndpointIamMemberMap) ToAiEndpointIamMemberMapOutput() AiEndpointIamMemberMapOutput

func (AiEndpointIamMemberMap) ToAiEndpointIamMemberMapOutputWithContext 

func (i AiEndpointIamMemberMap) ToAiEndpointIamMemberMapOutputWithContext(ctx context.Context) AiEndpointIamMemberMapOutput

type AiEndpointIamMemberMapInput 

type AiEndpointIamMemberMapInput interface {
	pulumi.Input

	ToAiEndpointIamMemberMapOutput() AiEndpointIamMemberMapOutput
	ToAiEndpointIamMemberMapOutputWithContext(context.Context) AiEndpointIamMemberMapOutput
}

AiEndpointIamMemberMapInput is an input type that accepts AiEndpointIamMemberMap and AiEndpointIamMemberMapOutput values. You can construct a concrete instance of `AiEndpointIamMemberMapInput` via: 

AiEndpointIamMemberMap{ "key": AiEndpointIamMemberArgs{...} }

type AiEndpointIamMemberMapOutput 

type AiEndpointIamMemberMapOutput struct{ *pulumi.OutputState }

func (AiEndpointIamMemberMapOutput) ElementType 

func (AiEndpointIamMemberMapOutput) ElementType() reflect.Type

func (AiEndpointIamMemberMapOutput) MapIndex 

func (o AiEndpointIamMemberMapOutput) MapIndex(k pulumi.StringInput) AiEndpointIamMemberOutput

func (AiEndpointIamMemberMapOutput) ToAiEndpointIamMemberMapOutput 

func (o AiEndpointIamMemberMapOutput) ToAiEndpointIamMemberMapOutput() AiEndpointIamMemberMapOutput

func (AiEndpointIamMemberMapOutput) ToAiEndpointIamMemberMapOutputWithContext 

func (o AiEndpointIamMemberMapOutput) ToAiEndpointIamMemberMapOutputWithContext(ctx context.Context) AiEndpointIamMemberMapOutput

type AiEndpointIamMemberOutput 

type AiEndpointIamMemberOutput struct{ *pulumi.OutputState }

func (AiEndpointIamMemberOutput) Condition 

func (o AiEndpointIamMemberOutput) Condition() AiEndpointIamMemberConditionPtrOutput

func (AiEndpointIamMemberOutput) ElementType 

func (AiEndpointIamMemberOutput) ElementType() reflect.Type

func (AiEndpointIamMemberOutput) Endpoint 

func (o AiEndpointIamMemberOutput) Endpoint() pulumi.StringOutput

func (AiEndpointIamMemberOutput) Etag 

func (o AiEndpointIamMemberOutput) Etag() pulumi.StringOutput

func (AiEndpointIamMemberOutput) Location 

func (o AiEndpointIamMemberOutput) Location() pulumi.StringOutput

func (AiEndpointIamMemberOutput) Member 

func (o AiEndpointIamMemberOutput) Member() pulumi.StringOutput

func (AiEndpointIamMemberOutput) Project 

func (o AiEndpointIamMemberOutput) Project() pulumi.StringOutput

func (AiEndpointIamMemberOutput) Role 

func (o AiEndpointIamMemberOutput) Role() pulumi.StringOutput

func (AiEndpointIamMemberOutput) ToAiEndpointIamMemberOutput 

func (o AiEndpointIamMemberOutput) ToAiEndpointIamMemberOutput() AiEndpointIamMemberOutput

func (AiEndpointIamMemberOutput) ToAiEndpointIamMemberOutputWithContext 

func (o AiEndpointIamMemberOutput) ToAiEndpointIamMemberOutputWithContext(ctx context.Context) AiEndpointIamMemberOutput

type AiEndpointIamMemberState 

type AiEndpointIamMemberState struct {
	Condition AiEndpointIamMemberConditionPtrInput
	Endpoint  pulumi.StringPtrInput
	Etag      pulumi.StringPtrInput
	Location  pulumi.StringPtrInput
	Member    pulumi.StringPtrInput
	Project   pulumi.StringPtrInput
	Role      pulumi.StringPtrInput
}

func (AiEndpointIamMemberState) ElementType 

func (AiEndpointIamMemberState) ElementType() reflect.Type

type AiEndpointIamPolicy 

type AiEndpointIamPolicy struct {
	pulumi.CustomResourceState

	Endpoint   pulumi.StringOutput `pulumi:"endpoint"`
	Etag       pulumi.StringOutput `pulumi:"etag"`
	Location   pulumi.StringOutput `pulumi:"location"`
	PolicyData pulumi.StringOutput `pulumi:"policyData"`
	Project    pulumi.StringOutput `pulumi:"project"`
}

func GetAiEndpointIamPolicy 

func GetAiEndpointIamPolicy(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiEndpointIamPolicyState, opts ...pulumi.ResourceOption) (*AiEndpointIamPolicy, error)

GetAiEndpointIamPolicy gets an existing AiEndpointIamPolicy resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiEndpointIamPolicy 

func NewAiEndpointIamPolicy(ctx *pulumi.Context,
	name string, args *AiEndpointIamPolicyArgs, opts ...pulumi.ResourceOption) (*AiEndpointIamPolicy, error)

NewAiEndpointIamPolicy registers a new resource with the given unique name, arguments, and options.

func (*AiEndpointIamPolicy) ElementType 

func (*AiEndpointIamPolicy) ElementType() reflect.Type

func (*AiEndpointIamPolicy) ToAiEndpointIamPolicyOutput 

func (i *AiEndpointIamPolicy) ToAiEndpointIamPolicyOutput() AiEndpointIamPolicyOutput

func (*AiEndpointIamPolicy) ToAiEndpointIamPolicyOutputWithContext 

func (i *AiEndpointIamPolicy) ToAiEndpointIamPolicyOutputWithContext(ctx context.Context) AiEndpointIamPolicyOutput

type AiEndpointIamPolicyArgs 

type AiEndpointIamPolicyArgs struct {
	Endpoint   pulumi.StringInput
	Location   pulumi.StringPtrInput
	PolicyData pulumi.StringInput
	Project    pulumi.StringPtrInput
}

The set of arguments for constructing a AiEndpointIamPolicy resource.

func (AiEndpointIamPolicyArgs) ElementType 

func (AiEndpointIamPolicyArgs) ElementType() reflect.Type

type AiEndpointIamPolicyArray 

type AiEndpointIamPolicyArray []AiEndpointIamPolicyInput

func (AiEndpointIamPolicyArray) ElementType 

func (AiEndpointIamPolicyArray) ElementType() reflect.Type

func (AiEndpointIamPolicyArray) ToAiEndpointIamPolicyArrayOutput 

func (i AiEndpointIamPolicyArray) ToAiEndpointIamPolicyArrayOutput() AiEndpointIamPolicyArrayOutput

func (AiEndpointIamPolicyArray) ToAiEndpointIamPolicyArrayOutputWithContext 

func (i AiEndpointIamPolicyArray) ToAiEndpointIamPolicyArrayOutputWithContext(ctx context.Context) AiEndpointIamPolicyArrayOutput

type AiEndpointIamPolicyArrayInput 

type AiEndpointIamPolicyArrayInput interface {
	pulumi.Input

	ToAiEndpointIamPolicyArrayOutput() AiEndpointIamPolicyArrayOutput
	ToAiEndpointIamPolicyArrayOutputWithContext(context.Context) AiEndpointIamPolicyArrayOutput
}

AiEndpointIamPolicyArrayInput is an input type that accepts AiEndpointIamPolicyArray and AiEndpointIamPolicyArrayOutput values. You can construct a concrete instance of `AiEndpointIamPolicyArrayInput` via: 

AiEndpointIamPolicyArray{ AiEndpointIamPolicyArgs{...} }

type AiEndpointIamPolicyArrayOutput 

type AiEndpointIamPolicyArrayOutput struct{ *pulumi.OutputState }

func (AiEndpointIamPolicyArrayOutput) ElementType 

func (AiEndpointIamPolicyArrayOutput) ElementType() reflect.Type

func (AiEndpointIamPolicyArrayOutput) Index 

func (o AiEndpointIamPolicyArrayOutput) Index(i pulumi.IntInput) AiEndpointIamPolicyOutput

func (AiEndpointIamPolicyArrayOutput) ToAiEndpointIamPolicyArrayOutput 

func (o AiEndpointIamPolicyArrayOutput) ToAiEndpointIamPolicyArrayOutput() AiEndpointIamPolicyArrayOutput

func (AiEndpointIamPolicyArrayOutput) ToAiEndpointIamPolicyArrayOutputWithContext 

func (o AiEndpointIamPolicyArrayOutput) ToAiEndpointIamPolicyArrayOutputWithContext(ctx context.Context) AiEndpointIamPolicyArrayOutput

type AiEndpointIamPolicyInput 

type AiEndpointIamPolicyInput interface {
	pulumi.Input

	ToAiEndpointIamPolicyOutput() AiEndpointIamPolicyOutput
	ToAiEndpointIamPolicyOutputWithContext(ctx context.Context) AiEndpointIamPolicyOutput
}

type AiEndpointIamPolicyMap 

type AiEndpointIamPolicyMap map[string]AiEndpointIamPolicyInput

func (AiEndpointIamPolicyMap) ElementType 

func (AiEndpointIamPolicyMap) ElementType() reflect.Type

func (AiEndpointIamPolicyMap) ToAiEndpointIamPolicyMapOutput 

func (i AiEndpointIamPolicyMap) ToAiEndpointIamPolicyMapOutput() AiEndpointIamPolicyMapOutput

func (AiEndpointIamPolicyMap) ToAiEndpointIamPolicyMapOutputWithContext 

func (i AiEndpointIamPolicyMap) ToAiEndpointIamPolicyMapOutputWithContext(ctx context.Context) AiEndpointIamPolicyMapOutput

type AiEndpointIamPolicyMapInput 

type AiEndpointIamPolicyMapInput interface {
	pulumi.Input

	ToAiEndpointIamPolicyMapOutput() AiEndpointIamPolicyMapOutput
	ToAiEndpointIamPolicyMapOutputWithContext(context.Context) AiEndpointIamPolicyMapOutput
}

AiEndpointIamPolicyMapInput is an input type that accepts AiEndpointIamPolicyMap and AiEndpointIamPolicyMapOutput values. You can construct a concrete instance of `AiEndpointIamPolicyMapInput` via: 

AiEndpointIamPolicyMap{ "key": AiEndpointIamPolicyArgs{...} }

type AiEndpointIamPolicyMapOutput 

type AiEndpointIamPolicyMapOutput struct{ *pulumi.OutputState }

func (AiEndpointIamPolicyMapOutput) ElementType 

func (AiEndpointIamPolicyMapOutput) ElementType() reflect.Type

func (AiEndpointIamPolicyMapOutput) MapIndex 

func (o AiEndpointIamPolicyMapOutput) MapIndex(k pulumi.StringInput) AiEndpointIamPolicyOutput

func (AiEndpointIamPolicyMapOutput) ToAiEndpointIamPolicyMapOutput 

func (o AiEndpointIamPolicyMapOutput) ToAiEndpointIamPolicyMapOutput() AiEndpointIamPolicyMapOutput

func (AiEndpointIamPolicyMapOutput) ToAiEndpointIamPolicyMapOutputWithContext 

func (o AiEndpointIamPolicyMapOutput) ToAiEndpointIamPolicyMapOutputWithContext(ctx context.Context) AiEndpointIamPolicyMapOutput

type AiEndpointIamPolicyOutput 

type AiEndpointIamPolicyOutput struct{ *pulumi.OutputState }

func (AiEndpointIamPolicyOutput) ElementType 

func (AiEndpointIamPolicyOutput) ElementType() reflect.Type

func (AiEndpointIamPolicyOutput) Endpoint 

func (o AiEndpointIamPolicyOutput) Endpoint() pulumi.StringOutput

func (AiEndpointIamPolicyOutput) Etag 

func (o AiEndpointIamPolicyOutput) Etag() pulumi.StringOutput

func (AiEndpointIamPolicyOutput) Location 

func (o AiEndpointIamPolicyOutput) Location() pulumi.StringOutput

func (AiEndpointIamPolicyOutput) PolicyData 

func (o AiEndpointIamPolicyOutput) PolicyData() pulumi.StringOutput

func (AiEndpointIamPolicyOutput) Project 

func (o AiEndpointIamPolicyOutput) Project() pulumi.StringOutput

func (AiEndpointIamPolicyOutput) ToAiEndpointIamPolicyOutput 

func (o AiEndpointIamPolicyOutput) ToAiEndpointIamPolicyOutput() AiEndpointIamPolicyOutput

func (AiEndpointIamPolicyOutput) ToAiEndpointIamPolicyOutputWithContext 

func (o AiEndpointIamPolicyOutput) ToAiEndpointIamPolicyOutputWithContext(ctx context.Context) AiEndpointIamPolicyOutput

type AiEndpointIamPolicyState 

type AiEndpointIamPolicyState struct {
	Endpoint   pulumi.StringPtrInput
	Etag       pulumi.StringPtrInput
	Location   pulumi.StringPtrInput
	PolicyData pulumi.StringPtrInput
	Project    pulumi.StringPtrInput
}

func (AiEndpointIamPolicyState) ElementType 

func (AiEndpointIamPolicyState) ElementType() reflect.Type

type AiEndpointInput 

type AiEndpointInput interface {
	pulumi.Input

	ToAiEndpointOutput() AiEndpointOutput
	ToAiEndpointOutputWithContext(ctx context.Context) AiEndpointOutput
}

type AiEndpointMap 

type AiEndpointMap map[string]AiEndpointInput

func (AiEndpointMap) ElementType 

func (AiEndpointMap) ElementType() reflect.Type

func (AiEndpointMap) ToAiEndpointMapOutput 

func (i AiEndpointMap) ToAiEndpointMapOutput() AiEndpointMapOutput

func (AiEndpointMap) ToAiEndpointMapOutputWithContext 

func (i AiEndpointMap) ToAiEndpointMapOutputWithContext(ctx context.Context) AiEndpointMapOutput

type AiEndpointMapInput 

type AiEndpointMapInput interface {
	pulumi.Input

	ToAiEndpointMapOutput() AiEndpointMapOutput
	ToAiEndpointMapOutputWithContext(context.Context) AiEndpointMapOutput
}

AiEndpointMapInput is an input type that accepts AiEndpointMap and AiEndpointMapOutput values. You can construct a concrete instance of `AiEndpointMapInput` via: 

AiEndpointMap{ "key": AiEndpointArgs{...} }

type AiEndpointMapOutput 

type AiEndpointMapOutput struct{ *pulumi.OutputState }

func (AiEndpointMapOutput) ElementType 

func (AiEndpointMapOutput) ElementType() reflect.Type

func (AiEndpointMapOutput) MapIndex 

func (o AiEndpointMapOutput) MapIndex(k pulumi.StringInput) AiEndpointOutput

func (AiEndpointMapOutput) ToAiEndpointMapOutput 

func (o AiEndpointMapOutput) ToAiEndpointMapOutput() AiEndpointMapOutput

func (AiEndpointMapOutput) ToAiEndpointMapOutputWithContext 

func (o AiEndpointMapOutput) ToAiEndpointMapOutputWithContext(ctx context.Context) AiEndpointMapOutput

type AiEndpointOutput 

type AiEndpointOutput struct{ *pulumi.OutputState }

func (AiEndpointOutput) CreateTime 

func (o AiEndpointOutput) CreateTime() pulumi.StringOutput

(Output) Output only. Timestamp when the DeployedModel was created.

func (AiEndpointOutput) DedicatedEndpointDns added in v8.9.1 

func (o AiEndpointOutput) DedicatedEndpointDns() pulumi.StringOutput

Output only. DNS of the dedicated endpoint. Will only be populated if dedicatedEndpointEnabled is true. Format: `https://{endpointId}.{region}-{projectNumber}.prediction.vertexai.goog`.

func (AiEndpointOutput) DedicatedEndpointEnabled added in v8.9.1 

func (o AiEndpointOutput) DedicatedEndpointEnabled() pulumi.BoolPtrOutput

If true, the endpoint will be exposed through a dedicated DNS [Endpoint.dedicated_endpoint_dns]. Your request to the dedicated DNS will be isolated from other users' traffic and will have better performance and reliability. Note: Once you enabled dedicated endpoint, you won't be able to send request to the shared DNS {region}-aiplatform.googleapis.com. The limitation will be removed soon.

func (AiEndpointOutput) DeployedModels 

func (o AiEndpointOutput) DeployedModels() AiEndpointDeployedModelArrayOutput

Output only. The models deployed in this Endpoint. To add or remove DeployedModels use EndpointService.DeployModel and EndpointService.UndeployModel respectively. Models can also be deployed and undeployed using the [Cloud Console](https://console.cloud.google.com/vertex-ai/). Structure is documented below.

func (AiEndpointOutput) Description 

func (o AiEndpointOutput) Description() pulumi.StringPtrOutput

The description of the Endpoint.

func (AiEndpointOutput) DisplayName 

func (o AiEndpointOutput) DisplayName() pulumi.StringOutput

Required. The display name of the Endpoint. The name can be up to 128 characters long and can consist of any UTF-8 characters.

func (AiEndpointOutput) EffectiveLabels 

func (o AiEndpointOutput) EffectiveLabels() pulumi.StringMapOutput

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

func (AiEndpointOutput) ElementType 

func (AiEndpointOutput) ElementType() reflect.Type

func (AiEndpointOutput) EncryptionSpec 

func (o AiEndpointOutput) EncryptionSpec() AiEndpointEncryptionSpecPtrOutput

Customer-managed encryption key spec for an Endpoint. If set, this Endpoint and all sub-resources of this Endpoint will be secured by this key. Structure is documented below.

func (AiEndpointOutput) Etag 

func (o AiEndpointOutput) Etag() pulumi.StringOutput

Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

func (AiEndpointOutput) Labels 

func (o AiEndpointOutput) Labels() pulumi.StringMapOutput

The labels with user-defined metadata to organize your Endpoints. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. **Note**: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field `effectiveLabels` for all of the labels present on the resource.

func (AiEndpointOutput) Location 

func (o AiEndpointOutput) Location() pulumi.StringOutput

The location for the resource

***

func (AiEndpointOutput) ModelDeploymentMonitoringJob 

func (o AiEndpointOutput) ModelDeploymentMonitoringJob() pulumi.StringOutput

Output only. Resource name of the Model Monitoring job associated with this Endpoint if monitoring is enabled by CreateModelDeploymentMonitoringJob. Format: `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`

func (AiEndpointOutput) Name 

func (o AiEndpointOutput) Name() pulumi.StringOutput

The resource name of the Endpoint. The name must be numeric with no leading zeros and can be at most 10 digits.

func (AiEndpointOutput) Network 

func (o AiEndpointOutput) Network() pulumi.StringPtrOutput

The full name of the Google Compute Engine [network](https://cloud.google.com//compute/docs/networks-and-firewalls#networks) to which the Endpoint should be peered. Private services access must already be configured for the network. If left unspecified, the Endpoint is not peered with any network. Only one of the fields, network or enable_private_service_connect, can be set. [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert): `projects/{project}/global/networks/{network}`. Where `{project}` is a project number, as in `12345`, and `{network}` is network name. Only one of the fields, `network` or `privateServiceConnectConfig`, can be set.

func (AiEndpointOutput) PredictRequestResponseLoggingConfig added in v8.9.1 

func (o AiEndpointOutput) PredictRequestResponseLoggingConfig() AiEndpointPredictRequestResponseLoggingConfigPtrOutput

Configures the request-response logging for online prediction. Structure is documented below.

func (AiEndpointOutput) PrivateServiceConnectConfig added in v8.9.1 

func (o AiEndpointOutput) PrivateServiceConnectConfig() AiEndpointPrivateServiceConnectConfigPtrOutput

Configuration for private service connect. `network` and `privateServiceConnectConfig` are mutually exclusive. Structure is documented below.

func (AiEndpointOutput) Project 

func (o AiEndpointOutput) Project() pulumi.StringOutput

The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

func (AiEndpointOutput) PulumiLabels 

func (o AiEndpointOutput) PulumiLabels() pulumi.StringMapOutput

The combination of labels configured directly on the resource and default labels configured on the provider.

func (AiEndpointOutput) Region 

func (o AiEndpointOutput) Region() pulumi.StringPtrOutput

The region for the resource

func (AiEndpointOutput) ToAiEndpointOutput 

func (o AiEndpointOutput) ToAiEndpointOutput() AiEndpointOutput

func (AiEndpointOutput) ToAiEndpointOutputWithContext 

func (o AiEndpointOutput) ToAiEndpointOutputWithContext(ctx context.Context) AiEndpointOutput

func (AiEndpointOutput) TrafficSplit added in v8.9.1 

func (o AiEndpointOutput) TrafficSplit() pulumi.StringOutput

A map from a DeployedModel's id to the percentage of this Endpoint's traffic that should be forwarded to that DeployedModel. If a DeployedModel's id is not listed in this map, then it receives no traffic. The traffic percentage values must add up to 100, or map must be empty if the Endpoint is to not accept any traffic at a moment. See the `deployModel` [example](https://cloud.google.com/vertex-ai/docs/general/deployment#deploy_a_model_to_an_endpoint) and [documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1beta1/projects.locations.endpoints/deployModel) for more information. > **Note:** To set the map to empty, set `"{}"`, apply, and then remove the field from your config.

func (AiEndpointOutput) UpdateTime 

func (o AiEndpointOutput) UpdateTime() pulumi.StringOutput

Output only. Timestamp when this Endpoint was last updated.

type AiEndpointPredictRequestResponseLoggingConfig added in v8.9.1 

type AiEndpointPredictRequestResponseLoggingConfig struct {
	// BigQuery table for logging. If only given a project, a new dataset will be created with name `logging_<endpoint-display-name>_<endpoint-id>` where will be made BigQuery-dataset-name compatible (e.g. most special characters will become underscores). If no table name is given, a new table will be created with name `requestResponseLogging`
	// Structure is documented below.
	BigqueryDestination *AiEndpointPredictRequestResponseLoggingConfigBigqueryDestination `pulumi:"bigqueryDestination"`
	// If logging is enabled or not.
	Enabled *bool `pulumi:"enabled"`
	// Percentage of requests to be logged, expressed as a fraction in range(0,1]
	SamplingRate *float64 `pulumi:"samplingRate"`
}

type AiEndpointPredictRequestResponseLoggingConfigArgs added in v8.9.1 

type AiEndpointPredictRequestResponseLoggingConfigArgs struct {
	// BigQuery table for logging. If only given a project, a new dataset will be created with name `logging_<endpoint-display-name>_<endpoint-id>` where will be made BigQuery-dataset-name compatible (e.g. most special characters will become underscores). If no table name is given, a new table will be created with name `requestResponseLogging`
	// Structure is documented below.
	BigqueryDestination AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrInput `pulumi:"bigqueryDestination"`
	// If logging is enabled or not.
	Enabled pulumi.BoolPtrInput `pulumi:"enabled"`
	// Percentage of requests to be logged, expressed as a fraction in range(0,1]
	SamplingRate pulumi.Float64PtrInput `pulumi:"samplingRate"`
}

func (AiEndpointPredictRequestResponseLoggingConfigArgs) ElementType added in v8.9.1 

func (AiEndpointPredictRequestResponseLoggingConfigArgs) ElementType() reflect.Type

func (AiEndpointPredictRequestResponseLoggingConfigArgs) ToAiEndpointPredictRequestResponseLoggingConfigOutput added in v8.9.1 

func (i AiEndpointPredictRequestResponseLoggingConfigArgs) ToAiEndpointPredictRequestResponseLoggingConfigOutput() AiEndpointPredictRequestResponseLoggingConfigOutput

func (AiEndpointPredictRequestResponseLoggingConfigArgs) ToAiEndpointPredictRequestResponseLoggingConfigOutputWithContext added in v8.9.1 

func (i AiEndpointPredictRequestResponseLoggingConfigArgs) ToAiEndpointPredictRequestResponseLoggingConfigOutputWithContext(ctx context.Context) AiEndpointPredictRequestResponseLoggingConfigOutput

func (AiEndpointPredictRequestResponseLoggingConfigArgs) ToAiEndpointPredictRequestResponseLoggingConfigPtrOutput added in v8.9.1 

func (i AiEndpointPredictRequestResponseLoggingConfigArgs) ToAiEndpointPredictRequestResponseLoggingConfigPtrOutput() AiEndpointPredictRequestResponseLoggingConfigPtrOutput

func (AiEndpointPredictRequestResponseLoggingConfigArgs) ToAiEndpointPredictRequestResponseLoggingConfigPtrOutputWithContext added in v8.9.1 

func (i AiEndpointPredictRequestResponseLoggingConfigArgs) ToAiEndpointPredictRequestResponseLoggingConfigPtrOutputWithContext(ctx context.Context) AiEndpointPredictRequestResponseLoggingConfigPtrOutput

type AiEndpointPredictRequestResponseLoggingConfigBigqueryDestination added in v8.9.1 

type AiEndpointPredictRequestResponseLoggingConfigBigqueryDestination struct {
	// BigQuery URI to a project or table, up to 2000 characters long. When only the project is specified, the Dataset and Table is created. When the full table reference is specified, the Dataset must exist and table must not exist. Accepted forms: - BigQuery path. For example: `bq://projectId` or `bq://projectId.bqDatasetId` or `bq://projectId.bqDatasetId.bqTableId`.
	OutputUri *string `pulumi:"outputUri"`
}

type AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationArgs added in v8.9.1 

type AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationArgs struct {
	// BigQuery URI to a project or table, up to 2000 characters long. When only the project is specified, the Dataset and Table is created. When the full table reference is specified, the Dataset must exist and table must not exist. Accepted forms: - BigQuery path. For example: `bq://projectId` or `bq://projectId.bqDatasetId` or `bq://projectId.bqDatasetId.bqTableId`.
	OutputUri pulumi.StringPtrInput `pulumi:"outputUri"`
}

func (AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationArgs) ElementType added in v8.9.1 

func (AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationArgs) ElementType() reflect.Type

func (AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationArgs) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput added in v8.9.1 

func (i AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationArgs) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput() AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput

func (AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationArgs) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutputWithContext added in v8.9.1 

func (i AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationArgs) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutputWithContext(ctx context.Context) AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput

func (AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationArgs) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput added in v8.9.1 

func (i AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationArgs) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput() AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput

func (AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationArgs) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutputWithContext added in v8.9.1 

func (i AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationArgs) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutputWithContext(ctx context.Context) AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput

type AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationInput added in v8.9.1 

type AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationInput interface {
	pulumi.Input

	ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput() AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput
	ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutputWithContext(context.Context) AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput
}

AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationInput is an input type that accepts AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationArgs and AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput values. You can construct a concrete instance of `AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationInput` via: 

AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationArgs{...}

type AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput added in v8.9.1 

type AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput struct{ *pulumi.OutputState }

func (AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput) ElementType added in v8.9.1 

func (AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput) ElementType() reflect.Type

func (AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput) OutputUri added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput) OutputUri() pulumi.StringPtrOutput

BigQuery URI to a project or table, up to 2000 characters long. When only the project is specified, the Dataset and Table is created. When the full table reference is specified, the Dataset must exist and table must not exist. Accepted forms: - BigQuery path. For example: `bq://projectId` or `bq://projectId.bqDatasetId` or `bq://projectId.bqDatasetId.bqTableId`.

func (AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput() AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput

func (AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutputWithContext added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutputWithContext(ctx context.Context) AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput

func (AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput() AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput

func (AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutputWithContext added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutputWithContext(ctx context.Context) AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput

type AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrInput added in v8.9.1 

type AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrInput interface {
	pulumi.Input

	ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput() AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput
	ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutputWithContext(context.Context) AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput
}

AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrInput is an input type that accepts AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationArgs, AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtr and AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput values. You can construct a concrete instance of `AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrInput` via: 

        AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationArgs{...}

or:

        nil

func AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtr added in v8.9.1 

func AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtr(v *AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationArgs) AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrInput

type AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput added in v8.9.1 

type AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput struct{ *pulumi.OutputState }

func (AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput) Elem added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput) Elem() AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationOutput

func (AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput) ElementType added in v8.9.1 

func (AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput) ElementType() reflect.Type

func (AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput) OutputUri added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput) OutputUri() pulumi.StringPtrOutput

BigQuery URI to a project or table, up to 2000 characters long. When only the project is specified, the Dataset and Table is created. When the full table reference is specified, the Dataset must exist and table must not exist. Accepted forms: - BigQuery path. For example: `bq://projectId` or `bq://projectId.bqDatasetId` or `bq://projectId.bqDatasetId.bqTableId`.

func (AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput() AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput

func (AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutputWithContext added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput) ToAiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutputWithContext(ctx context.Context) AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput

type AiEndpointPredictRequestResponseLoggingConfigInput added in v8.9.1 

type AiEndpointPredictRequestResponseLoggingConfigInput interface {
	pulumi.Input

	ToAiEndpointPredictRequestResponseLoggingConfigOutput() AiEndpointPredictRequestResponseLoggingConfigOutput
	ToAiEndpointPredictRequestResponseLoggingConfigOutputWithContext(context.Context) AiEndpointPredictRequestResponseLoggingConfigOutput
}

AiEndpointPredictRequestResponseLoggingConfigInput is an input type that accepts AiEndpointPredictRequestResponseLoggingConfigArgs and AiEndpointPredictRequestResponseLoggingConfigOutput values. You can construct a concrete instance of `AiEndpointPredictRequestResponseLoggingConfigInput` via: 

AiEndpointPredictRequestResponseLoggingConfigArgs{...}

type AiEndpointPredictRequestResponseLoggingConfigOutput added in v8.9.1 

type AiEndpointPredictRequestResponseLoggingConfigOutput struct{ *pulumi.OutputState }

func (AiEndpointPredictRequestResponseLoggingConfigOutput) BigqueryDestination added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigOutput) BigqueryDestination() AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput

BigQuery table for logging. If only given a project, a new dataset will be created with name `logging_<endpoint-display-name>_<endpoint-id>` where will be made BigQuery-dataset-name compatible (e.g. most special characters will become underscores). If no table name is given, a new table will be created with name `requestResponseLogging` Structure is documented below.

func (AiEndpointPredictRequestResponseLoggingConfigOutput) ElementType added in v8.9.1 

func (AiEndpointPredictRequestResponseLoggingConfigOutput) ElementType() reflect.Type

func (AiEndpointPredictRequestResponseLoggingConfigOutput) Enabled added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigOutput) Enabled() pulumi.BoolPtrOutput

If logging is enabled or not.

func (AiEndpointPredictRequestResponseLoggingConfigOutput) SamplingRate added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigOutput) SamplingRate() pulumi.Float64PtrOutput

Percentage of requests to be logged, expressed as a fraction in range(0,1]

func (AiEndpointPredictRequestResponseLoggingConfigOutput) ToAiEndpointPredictRequestResponseLoggingConfigOutput added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigOutput) ToAiEndpointPredictRequestResponseLoggingConfigOutput() AiEndpointPredictRequestResponseLoggingConfigOutput

func (AiEndpointPredictRequestResponseLoggingConfigOutput) ToAiEndpointPredictRequestResponseLoggingConfigOutputWithContext added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigOutput) ToAiEndpointPredictRequestResponseLoggingConfigOutputWithContext(ctx context.Context) AiEndpointPredictRequestResponseLoggingConfigOutput

func (AiEndpointPredictRequestResponseLoggingConfigOutput) ToAiEndpointPredictRequestResponseLoggingConfigPtrOutput added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigOutput) ToAiEndpointPredictRequestResponseLoggingConfigPtrOutput() AiEndpointPredictRequestResponseLoggingConfigPtrOutput

func (AiEndpointPredictRequestResponseLoggingConfigOutput) ToAiEndpointPredictRequestResponseLoggingConfigPtrOutputWithContext added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigOutput) ToAiEndpointPredictRequestResponseLoggingConfigPtrOutputWithContext(ctx context.Context) AiEndpointPredictRequestResponseLoggingConfigPtrOutput

type AiEndpointPredictRequestResponseLoggingConfigPtrInput added in v8.9.1 

type AiEndpointPredictRequestResponseLoggingConfigPtrInput interface {
	pulumi.Input

	ToAiEndpointPredictRequestResponseLoggingConfigPtrOutput() AiEndpointPredictRequestResponseLoggingConfigPtrOutput
	ToAiEndpointPredictRequestResponseLoggingConfigPtrOutputWithContext(context.Context) AiEndpointPredictRequestResponseLoggingConfigPtrOutput
}

AiEndpointPredictRequestResponseLoggingConfigPtrInput is an input type that accepts AiEndpointPredictRequestResponseLoggingConfigArgs, AiEndpointPredictRequestResponseLoggingConfigPtr and AiEndpointPredictRequestResponseLoggingConfigPtrOutput values. You can construct a concrete instance of `AiEndpointPredictRequestResponseLoggingConfigPtrInput` via: 

        AiEndpointPredictRequestResponseLoggingConfigArgs{...}

or:

        nil

func AiEndpointPredictRequestResponseLoggingConfigPtr added in v8.9.1 

func AiEndpointPredictRequestResponseLoggingConfigPtr(v *AiEndpointPredictRequestResponseLoggingConfigArgs) AiEndpointPredictRequestResponseLoggingConfigPtrInput

type AiEndpointPredictRequestResponseLoggingConfigPtrOutput added in v8.9.1 

type AiEndpointPredictRequestResponseLoggingConfigPtrOutput struct{ *pulumi.OutputState }

func (AiEndpointPredictRequestResponseLoggingConfigPtrOutput) BigqueryDestination added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigPtrOutput) BigqueryDestination() AiEndpointPredictRequestResponseLoggingConfigBigqueryDestinationPtrOutput

BigQuery table for logging. If only given a project, a new dataset will be created with name `logging_<endpoint-display-name>_<endpoint-id>` where will be made BigQuery-dataset-name compatible (e.g. most special characters will become underscores). If no table name is given, a new table will be created with name `requestResponseLogging` Structure is documented below.

func (AiEndpointPredictRequestResponseLoggingConfigPtrOutput) Elem added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigPtrOutput) Elem() AiEndpointPredictRequestResponseLoggingConfigOutput

func (AiEndpointPredictRequestResponseLoggingConfigPtrOutput) ElementType added in v8.9.1 

func (AiEndpointPredictRequestResponseLoggingConfigPtrOutput) ElementType() reflect.Type

func (AiEndpointPredictRequestResponseLoggingConfigPtrOutput) Enabled added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigPtrOutput) Enabled() pulumi.BoolPtrOutput

If logging is enabled or not.

func (AiEndpointPredictRequestResponseLoggingConfigPtrOutput) SamplingRate added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigPtrOutput) SamplingRate() pulumi.Float64PtrOutput

Percentage of requests to be logged, expressed as a fraction in range(0,1]

func (AiEndpointPredictRequestResponseLoggingConfigPtrOutput) ToAiEndpointPredictRequestResponseLoggingConfigPtrOutput added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigPtrOutput) ToAiEndpointPredictRequestResponseLoggingConfigPtrOutput() AiEndpointPredictRequestResponseLoggingConfigPtrOutput

func (AiEndpointPredictRequestResponseLoggingConfigPtrOutput) ToAiEndpointPredictRequestResponseLoggingConfigPtrOutputWithContext added in v8.9.1 

func (o AiEndpointPredictRequestResponseLoggingConfigPtrOutput) ToAiEndpointPredictRequestResponseLoggingConfigPtrOutputWithContext(ctx context.Context) AiEndpointPredictRequestResponseLoggingConfigPtrOutput

type AiEndpointPrivateServiceConnectConfig added in v8.9.1 

type AiEndpointPrivateServiceConnectConfig struct {
	// Required. If true, expose the IndexEndpoint via private service connect.
	EnablePrivateServiceConnect bool `pulumi:"enablePrivateServiceConnect"`
	// If set to true, enable secure private service connect with IAM authorization. Otherwise, private service connect will be done without authorization. Note latency will be slightly increased if authorization is enabled.
	EnableSecurePrivateServiceConnect *bool `pulumi:"enableSecurePrivateServiceConnect"`
	// A list of Projects from which the forwarding rule will target the service attachment.
	ProjectAllowlists []string `pulumi:"projectAllowlists"`
}

type AiEndpointPrivateServiceConnectConfigArgs added in v8.9.1 

type AiEndpointPrivateServiceConnectConfigArgs struct {
	// Required. If true, expose the IndexEndpoint via private service connect.
	EnablePrivateServiceConnect pulumi.BoolInput `pulumi:"enablePrivateServiceConnect"`
	// If set to true, enable secure private service connect with IAM authorization. Otherwise, private service connect will be done without authorization. Note latency will be slightly increased if authorization is enabled.
	EnableSecurePrivateServiceConnect pulumi.BoolPtrInput `pulumi:"enableSecurePrivateServiceConnect"`
	// A list of Projects from which the forwarding rule will target the service attachment.
	ProjectAllowlists pulumi.StringArrayInput `pulumi:"projectAllowlists"`
}

func (AiEndpointPrivateServiceConnectConfigArgs) ElementType added in v8.9.1 

func (AiEndpointPrivateServiceConnectConfigArgs) ElementType() reflect.Type

func (AiEndpointPrivateServiceConnectConfigArgs) ToAiEndpointPrivateServiceConnectConfigOutput added in v8.9.1 

func (i AiEndpointPrivateServiceConnectConfigArgs) ToAiEndpointPrivateServiceConnectConfigOutput() AiEndpointPrivateServiceConnectConfigOutput

func (AiEndpointPrivateServiceConnectConfigArgs) ToAiEndpointPrivateServiceConnectConfigOutputWithContext added in v8.9.1 

func (i AiEndpointPrivateServiceConnectConfigArgs) ToAiEndpointPrivateServiceConnectConfigOutputWithContext(ctx context.Context) AiEndpointPrivateServiceConnectConfigOutput

func (AiEndpointPrivateServiceConnectConfigArgs) ToAiEndpointPrivateServiceConnectConfigPtrOutput added in v8.9.1 

func (i AiEndpointPrivateServiceConnectConfigArgs) ToAiEndpointPrivateServiceConnectConfigPtrOutput() AiEndpointPrivateServiceConnectConfigPtrOutput

func (AiEndpointPrivateServiceConnectConfigArgs) ToAiEndpointPrivateServiceConnectConfigPtrOutputWithContext added in v8.9.1 

func (i AiEndpointPrivateServiceConnectConfigArgs) ToAiEndpointPrivateServiceConnectConfigPtrOutputWithContext(ctx context.Context) AiEndpointPrivateServiceConnectConfigPtrOutput

type AiEndpointPrivateServiceConnectConfigInput added in v8.9.1 

type AiEndpointPrivateServiceConnectConfigInput interface {
	pulumi.Input

	ToAiEndpointPrivateServiceConnectConfigOutput() AiEndpointPrivateServiceConnectConfigOutput
	ToAiEndpointPrivateServiceConnectConfigOutputWithContext(context.Context) AiEndpointPrivateServiceConnectConfigOutput
}

AiEndpointPrivateServiceConnectConfigInput is an input type that accepts AiEndpointPrivateServiceConnectConfigArgs and AiEndpointPrivateServiceConnectConfigOutput values. You can construct a concrete instance of `AiEndpointPrivateServiceConnectConfigInput` via: 

AiEndpointPrivateServiceConnectConfigArgs{...}

type AiEndpointPrivateServiceConnectConfigOutput added in v8.9.1 

type AiEndpointPrivateServiceConnectConfigOutput struct{ *pulumi.OutputState }

func (AiEndpointPrivateServiceConnectConfigOutput) ElementType added in v8.9.1 

func (AiEndpointPrivateServiceConnectConfigOutput) ElementType() reflect.Type

func (AiEndpointPrivateServiceConnectConfigOutput) EnablePrivateServiceConnect added in v8.9.1 

func (o AiEndpointPrivateServiceConnectConfigOutput) EnablePrivateServiceConnect() pulumi.BoolOutput

Required. If true, expose the IndexEndpoint via private service connect.

func (AiEndpointPrivateServiceConnectConfigOutput) EnableSecurePrivateServiceConnect added in v8.9.1 

func (o AiEndpointPrivateServiceConnectConfigOutput) EnableSecurePrivateServiceConnect() pulumi.BoolPtrOutput

If set to true, enable secure private service connect with IAM authorization. Otherwise, private service connect will be done without authorization. Note latency will be slightly increased if authorization is enabled.

func (AiEndpointPrivateServiceConnectConfigOutput) ProjectAllowlists added in v8.9.1 

func (o AiEndpointPrivateServiceConnectConfigOutput) ProjectAllowlists() pulumi.StringArrayOutput

A list of Projects from which the forwarding rule will target the service attachment.

func (AiEndpointPrivateServiceConnectConfigOutput) ToAiEndpointPrivateServiceConnectConfigOutput added in v8.9.1 

func (o AiEndpointPrivateServiceConnectConfigOutput) ToAiEndpointPrivateServiceConnectConfigOutput() AiEndpointPrivateServiceConnectConfigOutput

func (AiEndpointPrivateServiceConnectConfigOutput) ToAiEndpointPrivateServiceConnectConfigOutputWithContext added in v8.9.1 

func (o AiEndpointPrivateServiceConnectConfigOutput) ToAiEndpointPrivateServiceConnectConfigOutputWithContext(ctx context.Context) AiEndpointPrivateServiceConnectConfigOutput

func (AiEndpointPrivateServiceConnectConfigOutput) ToAiEndpointPrivateServiceConnectConfigPtrOutput added in v8.9.1 

func (o AiEndpointPrivateServiceConnectConfigOutput) ToAiEndpointPrivateServiceConnectConfigPtrOutput() AiEndpointPrivateServiceConnectConfigPtrOutput

func (AiEndpointPrivateServiceConnectConfigOutput) ToAiEndpointPrivateServiceConnectConfigPtrOutputWithContext added in v8.9.1 

func (o AiEndpointPrivateServiceConnectConfigOutput) ToAiEndpointPrivateServiceConnectConfigPtrOutputWithContext(ctx context.Context) AiEndpointPrivateServiceConnectConfigPtrOutput

type AiEndpointPrivateServiceConnectConfigPtrInput added in v8.9.1 

type AiEndpointPrivateServiceConnectConfigPtrInput interface {
	pulumi.Input

	ToAiEndpointPrivateServiceConnectConfigPtrOutput() AiEndpointPrivateServiceConnectConfigPtrOutput
	ToAiEndpointPrivateServiceConnectConfigPtrOutputWithContext(context.Context) AiEndpointPrivateServiceConnectConfigPtrOutput
}

AiEndpointPrivateServiceConnectConfigPtrInput is an input type that accepts AiEndpointPrivateServiceConnectConfigArgs, AiEndpointPrivateServiceConnectConfigPtr and AiEndpointPrivateServiceConnectConfigPtrOutput values. You can construct a concrete instance of `AiEndpointPrivateServiceConnectConfigPtrInput` via: 

        AiEndpointPrivateServiceConnectConfigArgs{...}

or:

        nil

func AiEndpointPrivateServiceConnectConfigPtr added in v8.9.1 

func AiEndpointPrivateServiceConnectConfigPtr(v *AiEndpointPrivateServiceConnectConfigArgs) AiEndpointPrivateServiceConnectConfigPtrInput

type AiEndpointPrivateServiceConnectConfigPtrOutput added in v8.9.1 

type AiEndpointPrivateServiceConnectConfigPtrOutput struct{ *pulumi.OutputState }

func (AiEndpointPrivateServiceConnectConfigPtrOutput) Elem added in v8.9.1 

func (o AiEndpointPrivateServiceConnectConfigPtrOutput) Elem() AiEndpointPrivateServiceConnectConfigOutput

func (AiEndpointPrivateServiceConnectConfigPtrOutput) ElementType added in v8.9.1 

func (AiEndpointPrivateServiceConnectConfigPtrOutput) ElementType() reflect.Type

func (AiEndpointPrivateServiceConnectConfigPtrOutput) EnablePrivateServiceConnect added in v8.9.1 

func (o AiEndpointPrivateServiceConnectConfigPtrOutput) EnablePrivateServiceConnect() pulumi.BoolPtrOutput

Required. If true, expose the IndexEndpoint via private service connect.

func (AiEndpointPrivateServiceConnectConfigPtrOutput) EnableSecurePrivateServiceConnect added in v8.9.1 

func (o AiEndpointPrivateServiceConnectConfigPtrOutput) EnableSecurePrivateServiceConnect() pulumi.BoolPtrOutput

If set to true, enable secure private service connect with IAM authorization. Otherwise, private service connect will be done without authorization. Note latency will be slightly increased if authorization is enabled.

func (AiEndpointPrivateServiceConnectConfigPtrOutput) ProjectAllowlists added in v8.9.1 

func (o AiEndpointPrivateServiceConnectConfigPtrOutput) ProjectAllowlists() pulumi.StringArrayOutput

A list of Projects from which the forwarding rule will target the service attachment.

func (AiEndpointPrivateServiceConnectConfigPtrOutput) ToAiEndpointPrivateServiceConnectConfigPtrOutput added in v8.9.1 

func (o AiEndpointPrivateServiceConnectConfigPtrOutput) ToAiEndpointPrivateServiceConnectConfigPtrOutput() AiEndpointPrivateServiceConnectConfigPtrOutput

func (AiEndpointPrivateServiceConnectConfigPtrOutput) ToAiEndpointPrivateServiceConnectConfigPtrOutputWithContext added in v8.9.1 

func (o AiEndpointPrivateServiceConnectConfigPtrOutput) ToAiEndpointPrivateServiceConnectConfigPtrOutputWithContext(ctx context.Context) AiEndpointPrivateServiceConnectConfigPtrOutput

type AiEndpointState 

type AiEndpointState struct {
	// (Output)
	// Output only. Timestamp when the DeployedModel was created.
	CreateTime pulumi.StringPtrInput
	// Output only. DNS of the dedicated endpoint. Will only be populated if dedicatedEndpointEnabled is true. Format: `https://{endpointId}.{region}-{projectNumber}.prediction.vertexai.goog`.
	DedicatedEndpointDns pulumi.StringPtrInput
	// If true, the endpoint will be exposed through a dedicated DNS [Endpoint.dedicated_endpoint_dns]. Your request to the dedicated DNS will be isolated from other users' traffic and will have better performance and reliability. Note: Once you enabled dedicated endpoint, you won't be able to send request to the shared DNS {region}-aiplatform.googleapis.com. The limitation will be removed soon.
	DedicatedEndpointEnabled pulumi.BoolPtrInput
	// Output only. The models deployed in this Endpoint. To add or remove DeployedModels use EndpointService.DeployModel and EndpointService.UndeployModel respectively. Models can also be deployed and undeployed using the [Cloud Console](https://console.cloud.google.com/vertex-ai/).
	// Structure is documented below.
	DeployedModels AiEndpointDeployedModelArrayInput
	// The description of the Endpoint.
	Description pulumi.StringPtrInput
	// Required. The display name of the Endpoint. The name can be up to 128 characters long and can consist of any UTF-8 characters.
	DisplayName pulumi.StringPtrInput
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapInput
	// Customer-managed encryption key spec for an Endpoint. If set, this Endpoint and all sub-resources of this Endpoint will be secured by this key.
	// Structure is documented below.
	EncryptionSpec AiEndpointEncryptionSpecPtrInput
	// Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
	Etag pulumi.StringPtrInput
	// The labels with user-defined metadata to organize your Endpoints. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// The location for the resource
	//
	// ***
	Location pulumi.StringPtrInput
	// Output only. Resource name of the Model Monitoring job associated with this Endpoint if monitoring is enabled by CreateModelDeploymentMonitoringJob. Format: `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	ModelDeploymentMonitoringJob pulumi.StringPtrInput
	// The resource name of the Endpoint. The name must be numeric with no leading zeros and can be at most 10 digits.
	Name pulumi.StringPtrInput
	// The full name of the Google Compute Engine [network](https://cloud.google.com//compute/docs/networks-and-firewalls#networks) to which the Endpoint should be peered. Private services access must already be configured for the network. If left unspecified, the Endpoint is not peered with any network. Only one of the fields, network or enable_private_service_connect, can be set. [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert): `projects/{project}/global/networks/{network}`. Where `{project}` is a project number, as in `12345`, and `{network}` is network name. Only one of the fields, `network` or `privateServiceConnectConfig`, can be set.
	Network pulumi.StringPtrInput
	// Configures the request-response logging for online prediction.
	// Structure is documented below.
	PredictRequestResponseLoggingConfig AiEndpointPredictRequestResponseLoggingConfigPtrInput
	// Configuration for private service connect. `network` and `privateServiceConnectConfig` are mutually exclusive.
	// Structure is documented below.
	PrivateServiceConnectConfig AiEndpointPrivateServiceConnectConfigPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapInput
	// The region for the resource
	Region pulumi.StringPtrInput
	// A map from a DeployedModel's id to the percentage of this Endpoint's traffic that should be forwarded to that DeployedModel.
	// If a DeployedModel's id is not listed in this map, then it receives no traffic.
	// The traffic percentage values must add up to 100, or map must be empty if the Endpoint is to not accept any traffic at a moment. See
	// the `deployModel` [example](https://cloud.google.com/vertex-ai/docs/general/deployment#deploy_a_model_to_an_endpoint) and
	// [documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1beta1/projects.locations.endpoints/deployModel) for more information.
	// > **Note:** To set the map to empty, set `"{}"`, apply, and then remove the field from your config.
	TrafficSplit pulumi.StringPtrInput
	// Output only. Timestamp when this Endpoint was last updated.
	UpdateTime pulumi.StringPtrInput
}

func (AiEndpointState) ElementType 

func (AiEndpointState) ElementType() reflect.Type

type AiFeatureGroup 

type AiFeatureGroup struct {
	pulumi.CustomResourceState

	// Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a featureTimestamp column in the source.
	// Structure is documented below.
	BigQuery AiFeatureGroupBigQueryPtrOutput `pulumi:"bigQuery"`
	// The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringOutput `pulumi:"createTime"`
	// The description of the FeatureGroup.
	Description pulumi.StringPtrOutput `pulumi:"description"`
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapOutput `pulumi:"effectiveLabels"`
	// Used to perform consistent read-modify-write updates.
	Etag pulumi.StringOutput `pulumi:"etag"`
	// The labels with user-defined metadata to organize your FeatureGroup.
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapOutput `pulumi:"labels"`
	// The resource name of the Feature Group.
	Name pulumi.StringOutput `pulumi:"name"`
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringOutput `pulumi:"project"`
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapOutput `pulumi:"pulumiLabels"`
	// The region of feature group. eg us-central1
	Region pulumi.StringPtrOutput `pulumi:"region"`
	// The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringOutput `pulumi:"updateTime"`
}

Vertex AI Feature Group.

To get more information about FeatureGroup, see:

* [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featureGroups) * How-to Guides

## Example Usage

### Vertex Ai Feature Group

```go package main

import ( 

"fmt"

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/bigquery"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		sampleDataset, err := bigquery.NewDataset(ctx, "sample_dataset", &bigquery.DatasetArgs{
			DatasetId:    pulumi.String("job_load_dataset"),
			FriendlyName: pulumi.String("test"),
			Description:  pulumi.String("This is a test description"),
			Location:     pulumi.String("US"),
		})
		if err != nil {
			return err
		}
		sampleTable, err := bigquery.NewTable(ctx, "sample_table", &bigquery.TableArgs{
			DeletionProtection: pulumi.Bool(false),
			DatasetId:          sampleDataset.DatasetId,
			TableId:            pulumi.String("job_load_table"),
			Schema: pulumi.String(`[
    {
        "name": "feature_id",
        "type": "STRING",
        "mode": "NULLABLE"
    },
    {
        "name": "feature_timestamp",
        "type": "TIMESTAMP",
        "mode": "NULLABLE"
    }

] `), 

		})
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureGroup(ctx, "feature_group", &vertex.AiFeatureGroupArgs{
			Name:        pulumi.String("example_feature_group"),
			Description: pulumi.String("A sample feature group"),
			Region:      pulumi.String("us-central1"),
			Labels: pulumi.StringMap{
				"label-one": pulumi.String("value-one"),
			},
			BigQuery: &vertex.AiFeatureGroupBigQueryArgs{
				BigQuerySource: &vertex.AiFeatureGroupBigQueryBigQuerySourceArgs{
					InputUri: pulumi.All(sampleTable.Project, sampleTable.DatasetId, sampleTable.TableId).ApplyT(func(_args []interface{}) (string, error) {
						project := _args[0].(string)
						datasetId := _args[1].(string)
						tableId := _args[2].(string)
						return fmt.Sprintf("bq://%v.%v.%v", project, datasetId, tableId), nil
					}).(pulumi.StringOutput),
				},
				EntityIdColumns: pulumi.StringArray{
					pulumi.String("feature_id"),
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

```

## Import

FeatureGroup can be imported using any of these accepted formats:

* `projects/{{project}}/locations/{{region}}/featureGroups/{{name}}`

* `{{project}}/{{region}}/{{name}}`

* `{{region}}/{{name}}`

* `{{name}}`

When using the `pulumi import` command, FeatureGroup can be imported using one of the formats above. For example:

```sh $ pulumi import gcp:vertex/aiFeatureGroup:AiFeatureGroup default projects/{{project}}/locations/{{region}}/featureGroups/{{name}} ```

```sh $ pulumi import gcp:vertex/aiFeatureGroup:AiFeatureGroup default {{project}}/{{region}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiFeatureGroup:AiFeatureGroup default {{region}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiFeatureGroup:AiFeatureGroup default {{name}} ```

func GetAiFeatureGroup 

func GetAiFeatureGroup(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiFeatureGroupState, opts ...pulumi.ResourceOption) (*AiFeatureGroup, error)

GetAiFeatureGroup gets an existing AiFeatureGroup resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiFeatureGroup 

func NewAiFeatureGroup(ctx *pulumi.Context,
	name string, args *AiFeatureGroupArgs, opts ...pulumi.ResourceOption) (*AiFeatureGroup, error)

NewAiFeatureGroup registers a new resource with the given unique name, arguments, and options.

func (*AiFeatureGroup) ElementType 

func (*AiFeatureGroup) ElementType() reflect.Type

func (*AiFeatureGroup) ToAiFeatureGroupOutput 

func (i *AiFeatureGroup) ToAiFeatureGroupOutput() AiFeatureGroupOutput

func (*AiFeatureGroup) ToAiFeatureGroupOutputWithContext 

func (i *AiFeatureGroup) ToAiFeatureGroupOutputWithContext(ctx context.Context) AiFeatureGroupOutput

type AiFeatureGroupArgs 

type AiFeatureGroupArgs struct {
	// Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a featureTimestamp column in the source.
	// Structure is documented below.
	BigQuery AiFeatureGroupBigQueryPtrInput
	// The description of the FeatureGroup.
	Description pulumi.StringPtrInput
	// The labels with user-defined metadata to organize your FeatureGroup.
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// The resource name of the Feature Group.
	Name pulumi.StringPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The region of feature group. eg us-central1
	Region pulumi.StringPtrInput
}

The set of arguments for constructing a AiFeatureGroup resource.

func (AiFeatureGroupArgs) ElementType 

func (AiFeatureGroupArgs) ElementType() reflect.Type

type AiFeatureGroupArray 

type AiFeatureGroupArray []AiFeatureGroupInput

func (AiFeatureGroupArray) ElementType 

func (AiFeatureGroupArray) ElementType() reflect.Type

func (AiFeatureGroupArray) ToAiFeatureGroupArrayOutput 

func (i AiFeatureGroupArray) ToAiFeatureGroupArrayOutput() AiFeatureGroupArrayOutput

func (AiFeatureGroupArray) ToAiFeatureGroupArrayOutputWithContext 

func (i AiFeatureGroupArray) ToAiFeatureGroupArrayOutputWithContext(ctx context.Context) AiFeatureGroupArrayOutput

type AiFeatureGroupArrayInput 

type AiFeatureGroupArrayInput interface {
	pulumi.Input

	ToAiFeatureGroupArrayOutput() AiFeatureGroupArrayOutput
	ToAiFeatureGroupArrayOutputWithContext(context.Context) AiFeatureGroupArrayOutput
}

AiFeatureGroupArrayInput is an input type that accepts AiFeatureGroupArray and AiFeatureGroupArrayOutput values. You can construct a concrete instance of `AiFeatureGroupArrayInput` via: 

AiFeatureGroupArray{ AiFeatureGroupArgs{...} }

type AiFeatureGroupArrayOutput 

type AiFeatureGroupArrayOutput struct{ *pulumi.OutputState }

func (AiFeatureGroupArrayOutput) ElementType 

func (AiFeatureGroupArrayOutput) ElementType() reflect.Type

func (AiFeatureGroupArrayOutput) Index 

func (o AiFeatureGroupArrayOutput) Index(i pulumi.IntInput) AiFeatureGroupOutput

func (AiFeatureGroupArrayOutput) ToAiFeatureGroupArrayOutput 

func (o AiFeatureGroupArrayOutput) ToAiFeatureGroupArrayOutput() AiFeatureGroupArrayOutput

func (AiFeatureGroupArrayOutput) ToAiFeatureGroupArrayOutputWithContext 

func (o AiFeatureGroupArrayOutput) ToAiFeatureGroupArrayOutputWithContext(ctx context.Context) AiFeatureGroupArrayOutput

type AiFeatureGroupBigQuery 

type AiFeatureGroupBigQuery struct {
	// The BigQuery source URI that points to either a BigQuery Table or View.
	// Structure is documented below.
	BigQuerySource AiFeatureGroupBigQueryBigQuerySource `pulumi:"bigQuerySource"`
	// Columns to construct entityId / row keys. If not provided defaults to entityId.
	EntityIdColumns []string `pulumi:"entityIdColumns"`
}

type AiFeatureGroupBigQueryArgs 

type AiFeatureGroupBigQueryArgs struct {
	// The BigQuery source URI that points to either a BigQuery Table or View.
	// Structure is documented below.
	BigQuerySource AiFeatureGroupBigQueryBigQuerySourceInput `pulumi:"bigQuerySource"`
	// Columns to construct entityId / row keys. If not provided defaults to entityId.
	EntityIdColumns pulumi.StringArrayInput `pulumi:"entityIdColumns"`
}

func (AiFeatureGroupBigQueryArgs) ElementType 

func (AiFeatureGroupBigQueryArgs) ElementType() reflect.Type

func (AiFeatureGroupBigQueryArgs) ToAiFeatureGroupBigQueryOutput 

func (i AiFeatureGroupBigQueryArgs) ToAiFeatureGroupBigQueryOutput() AiFeatureGroupBigQueryOutput

func (AiFeatureGroupBigQueryArgs) ToAiFeatureGroupBigQueryOutputWithContext 

func (i AiFeatureGroupBigQueryArgs) ToAiFeatureGroupBigQueryOutputWithContext(ctx context.Context) AiFeatureGroupBigQueryOutput

func (AiFeatureGroupBigQueryArgs) ToAiFeatureGroupBigQueryPtrOutput 

func (i AiFeatureGroupBigQueryArgs) ToAiFeatureGroupBigQueryPtrOutput() AiFeatureGroupBigQueryPtrOutput

func (AiFeatureGroupBigQueryArgs) ToAiFeatureGroupBigQueryPtrOutputWithContext 

func (i AiFeatureGroupBigQueryArgs) ToAiFeatureGroupBigQueryPtrOutputWithContext(ctx context.Context) AiFeatureGroupBigQueryPtrOutput

type AiFeatureGroupBigQueryBigQuerySource 

type AiFeatureGroupBigQueryBigQuerySource struct {
	// BigQuery URI to a table, up to 2000 characters long. For example: `bq://projectId.bqDatasetId.bqTableId.`
	InputUri string `pulumi:"inputUri"`
}

type AiFeatureGroupBigQueryBigQuerySourceArgs 

type AiFeatureGroupBigQueryBigQuerySourceArgs struct {
	// BigQuery URI to a table, up to 2000 characters long. For example: `bq://projectId.bqDatasetId.bqTableId.`
	InputUri pulumi.StringInput `pulumi:"inputUri"`
}

func (AiFeatureGroupBigQueryBigQuerySourceArgs) ElementType 

func (AiFeatureGroupBigQueryBigQuerySourceArgs) ElementType() reflect.Type

func (AiFeatureGroupBigQueryBigQuerySourceArgs) ToAiFeatureGroupBigQueryBigQuerySourceOutput 

func (i AiFeatureGroupBigQueryBigQuerySourceArgs) ToAiFeatureGroupBigQueryBigQuerySourceOutput() AiFeatureGroupBigQueryBigQuerySourceOutput

func (AiFeatureGroupBigQueryBigQuerySourceArgs) ToAiFeatureGroupBigQueryBigQuerySourceOutputWithContext 

func (i AiFeatureGroupBigQueryBigQuerySourceArgs) ToAiFeatureGroupBigQueryBigQuerySourceOutputWithContext(ctx context.Context) AiFeatureGroupBigQueryBigQuerySourceOutput

func (AiFeatureGroupBigQueryBigQuerySourceArgs) ToAiFeatureGroupBigQueryBigQuerySourcePtrOutput 

func (i AiFeatureGroupBigQueryBigQuerySourceArgs) ToAiFeatureGroupBigQueryBigQuerySourcePtrOutput() AiFeatureGroupBigQueryBigQuerySourcePtrOutput

func (AiFeatureGroupBigQueryBigQuerySourceArgs) ToAiFeatureGroupBigQueryBigQuerySourcePtrOutputWithContext 

func (i AiFeatureGroupBigQueryBigQuerySourceArgs) ToAiFeatureGroupBigQueryBigQuerySourcePtrOutputWithContext(ctx context.Context) AiFeatureGroupBigQueryBigQuerySourcePtrOutput

type AiFeatureGroupBigQueryBigQuerySourceInput 

type AiFeatureGroupBigQueryBigQuerySourceInput interface {
	pulumi.Input

	ToAiFeatureGroupBigQueryBigQuerySourceOutput() AiFeatureGroupBigQueryBigQuerySourceOutput
	ToAiFeatureGroupBigQueryBigQuerySourceOutputWithContext(context.Context) AiFeatureGroupBigQueryBigQuerySourceOutput
}

AiFeatureGroupBigQueryBigQuerySourceInput is an input type that accepts AiFeatureGroupBigQueryBigQuerySourceArgs and AiFeatureGroupBigQueryBigQuerySourceOutput values. You can construct a concrete instance of `AiFeatureGroupBigQueryBigQuerySourceInput` via: 

AiFeatureGroupBigQueryBigQuerySourceArgs{...}

type AiFeatureGroupBigQueryBigQuerySourceOutput 

type AiFeatureGroupBigQueryBigQuerySourceOutput struct{ *pulumi.OutputState }

func (AiFeatureGroupBigQueryBigQuerySourceOutput) ElementType 

func (AiFeatureGroupBigQueryBigQuerySourceOutput) ElementType() reflect.Type

func (AiFeatureGroupBigQueryBigQuerySourceOutput) InputUri 

func (o AiFeatureGroupBigQueryBigQuerySourceOutput) InputUri() pulumi.StringOutput

BigQuery URI to a table, up to 2000 characters long. For example: `bq://projectId.bqDatasetId.bqTableId.`

func (AiFeatureGroupBigQueryBigQuerySourceOutput) ToAiFeatureGroupBigQueryBigQuerySourceOutput 

func (o AiFeatureGroupBigQueryBigQuerySourceOutput) ToAiFeatureGroupBigQueryBigQuerySourceOutput() AiFeatureGroupBigQueryBigQuerySourceOutput

func (AiFeatureGroupBigQueryBigQuerySourceOutput) ToAiFeatureGroupBigQueryBigQuerySourceOutputWithContext 

func (o AiFeatureGroupBigQueryBigQuerySourceOutput) ToAiFeatureGroupBigQueryBigQuerySourceOutputWithContext(ctx context.Context) AiFeatureGroupBigQueryBigQuerySourceOutput

func (AiFeatureGroupBigQueryBigQuerySourceOutput) ToAiFeatureGroupBigQueryBigQuerySourcePtrOutput 

func (o AiFeatureGroupBigQueryBigQuerySourceOutput) ToAiFeatureGroupBigQueryBigQuerySourcePtrOutput() AiFeatureGroupBigQueryBigQuerySourcePtrOutput

func (AiFeatureGroupBigQueryBigQuerySourceOutput) ToAiFeatureGroupBigQueryBigQuerySourcePtrOutputWithContext 

func (o AiFeatureGroupBigQueryBigQuerySourceOutput) ToAiFeatureGroupBigQueryBigQuerySourcePtrOutputWithContext(ctx context.Context) AiFeatureGroupBigQueryBigQuerySourcePtrOutput

type AiFeatureGroupBigQueryBigQuerySourcePtrInput 

type AiFeatureGroupBigQueryBigQuerySourcePtrInput interface {
	pulumi.Input

	ToAiFeatureGroupBigQueryBigQuerySourcePtrOutput() AiFeatureGroupBigQueryBigQuerySourcePtrOutput
	ToAiFeatureGroupBigQueryBigQuerySourcePtrOutputWithContext(context.Context) AiFeatureGroupBigQueryBigQuerySourcePtrOutput
}

AiFeatureGroupBigQueryBigQuerySourcePtrInput is an input type that accepts AiFeatureGroupBigQueryBigQuerySourceArgs, AiFeatureGroupBigQueryBigQuerySourcePtr and AiFeatureGroupBigQueryBigQuerySourcePtrOutput values. You can construct a concrete instance of `AiFeatureGroupBigQueryBigQuerySourcePtrInput` via: 

        AiFeatureGroupBigQueryBigQuerySourceArgs{...}

or:

        nil

func AiFeatureGroupBigQueryBigQuerySourcePtr 

func AiFeatureGroupBigQueryBigQuerySourcePtr(v *AiFeatureGroupBigQueryBigQuerySourceArgs) AiFeatureGroupBigQueryBigQuerySourcePtrInput

type AiFeatureGroupBigQueryBigQuerySourcePtrOutput 

type AiFeatureGroupBigQueryBigQuerySourcePtrOutput struct{ *pulumi.OutputState }

func (AiFeatureGroupBigQueryBigQuerySourcePtrOutput) Elem 

func (o AiFeatureGroupBigQueryBigQuerySourcePtrOutput) Elem() AiFeatureGroupBigQueryBigQuerySourceOutput

func (AiFeatureGroupBigQueryBigQuerySourcePtrOutput) ElementType 

func (AiFeatureGroupBigQueryBigQuerySourcePtrOutput) ElementType() reflect.Type

func (AiFeatureGroupBigQueryBigQuerySourcePtrOutput) InputUri 

func (o AiFeatureGroupBigQueryBigQuerySourcePtrOutput) InputUri() pulumi.StringPtrOutput

BigQuery URI to a table, up to 2000 characters long. For example: `bq://projectId.bqDatasetId.bqTableId.`

func (AiFeatureGroupBigQueryBigQuerySourcePtrOutput) ToAiFeatureGroupBigQueryBigQuerySourcePtrOutput 

func (o AiFeatureGroupBigQueryBigQuerySourcePtrOutput) ToAiFeatureGroupBigQueryBigQuerySourcePtrOutput() AiFeatureGroupBigQueryBigQuerySourcePtrOutput

func (AiFeatureGroupBigQueryBigQuerySourcePtrOutput) ToAiFeatureGroupBigQueryBigQuerySourcePtrOutputWithContext 

func (o AiFeatureGroupBigQueryBigQuerySourcePtrOutput) ToAiFeatureGroupBigQueryBigQuerySourcePtrOutputWithContext(ctx context.Context) AiFeatureGroupBigQueryBigQuerySourcePtrOutput

type AiFeatureGroupBigQueryInput 

type AiFeatureGroupBigQueryInput interface {
	pulumi.Input

	ToAiFeatureGroupBigQueryOutput() AiFeatureGroupBigQueryOutput
	ToAiFeatureGroupBigQueryOutputWithContext(context.Context) AiFeatureGroupBigQueryOutput
}

AiFeatureGroupBigQueryInput is an input type that accepts AiFeatureGroupBigQueryArgs and AiFeatureGroupBigQueryOutput values. You can construct a concrete instance of `AiFeatureGroupBigQueryInput` via: 

AiFeatureGroupBigQueryArgs{...}

type AiFeatureGroupBigQueryOutput 

type AiFeatureGroupBigQueryOutput struct{ *pulumi.OutputState }

func (AiFeatureGroupBigQueryOutput) BigQuerySource 

func (o AiFeatureGroupBigQueryOutput) BigQuerySource() AiFeatureGroupBigQueryBigQuerySourceOutput

The BigQuery source URI that points to either a BigQuery Table or View. Structure is documented below.

func (AiFeatureGroupBigQueryOutput) ElementType 

func (AiFeatureGroupBigQueryOutput) ElementType() reflect.Type

func (AiFeatureGroupBigQueryOutput) EntityIdColumns 

func (o AiFeatureGroupBigQueryOutput) EntityIdColumns() pulumi.StringArrayOutput

Columns to construct entityId / row keys. If not provided defaults to entityId.

func (AiFeatureGroupBigQueryOutput) ToAiFeatureGroupBigQueryOutput 

func (o AiFeatureGroupBigQueryOutput) ToAiFeatureGroupBigQueryOutput() AiFeatureGroupBigQueryOutput

func (AiFeatureGroupBigQueryOutput) ToAiFeatureGroupBigQueryOutputWithContext 

func (o AiFeatureGroupBigQueryOutput) ToAiFeatureGroupBigQueryOutputWithContext(ctx context.Context) AiFeatureGroupBigQueryOutput

func (AiFeatureGroupBigQueryOutput) ToAiFeatureGroupBigQueryPtrOutput 

func (o AiFeatureGroupBigQueryOutput) ToAiFeatureGroupBigQueryPtrOutput() AiFeatureGroupBigQueryPtrOutput

func (AiFeatureGroupBigQueryOutput) ToAiFeatureGroupBigQueryPtrOutputWithContext 

func (o AiFeatureGroupBigQueryOutput) ToAiFeatureGroupBigQueryPtrOutputWithContext(ctx context.Context) AiFeatureGroupBigQueryPtrOutput

type AiFeatureGroupBigQueryPtrInput 

type AiFeatureGroupBigQueryPtrInput interface {
	pulumi.Input

	ToAiFeatureGroupBigQueryPtrOutput() AiFeatureGroupBigQueryPtrOutput
	ToAiFeatureGroupBigQueryPtrOutputWithContext(context.Context) AiFeatureGroupBigQueryPtrOutput
}

AiFeatureGroupBigQueryPtrInput is an input type that accepts AiFeatureGroupBigQueryArgs, AiFeatureGroupBigQueryPtr and AiFeatureGroupBigQueryPtrOutput values. You can construct a concrete instance of `AiFeatureGroupBigQueryPtrInput` via: 

        AiFeatureGroupBigQueryArgs{...}

or:

        nil

func AiFeatureGroupBigQueryPtr 

func AiFeatureGroupBigQueryPtr(v *AiFeatureGroupBigQueryArgs) AiFeatureGroupBigQueryPtrInput

type AiFeatureGroupBigQueryPtrOutput 

type AiFeatureGroupBigQueryPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureGroupBigQueryPtrOutput) BigQuerySource 

func (o AiFeatureGroupBigQueryPtrOutput) BigQuerySource() AiFeatureGroupBigQueryBigQuerySourcePtrOutput

The BigQuery source URI that points to either a BigQuery Table or View. Structure is documented below.

func (AiFeatureGroupBigQueryPtrOutput) Elem 

func (o AiFeatureGroupBigQueryPtrOutput) Elem() AiFeatureGroupBigQueryOutput

func (AiFeatureGroupBigQueryPtrOutput) ElementType 

func (AiFeatureGroupBigQueryPtrOutput) ElementType() reflect.Type

func (AiFeatureGroupBigQueryPtrOutput) EntityIdColumns 

func (o AiFeatureGroupBigQueryPtrOutput) EntityIdColumns() pulumi.StringArrayOutput

Columns to construct entityId / row keys. If not provided defaults to entityId.

func (AiFeatureGroupBigQueryPtrOutput) ToAiFeatureGroupBigQueryPtrOutput 

func (o AiFeatureGroupBigQueryPtrOutput) ToAiFeatureGroupBigQueryPtrOutput() AiFeatureGroupBigQueryPtrOutput

func (AiFeatureGroupBigQueryPtrOutput) ToAiFeatureGroupBigQueryPtrOutputWithContext 

func (o AiFeatureGroupBigQueryPtrOutput) ToAiFeatureGroupBigQueryPtrOutputWithContext(ctx context.Context) AiFeatureGroupBigQueryPtrOutput

type AiFeatureGroupFeature 

type AiFeatureGroupFeature struct {
	pulumi.CustomResourceState

	// The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringOutput `pulumi:"createTime"`
	// The description of the FeatureGroup.
	Description pulumi.StringPtrOutput `pulumi:"description"`
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapOutput `pulumi:"effectiveLabels"`
	// The name of the Feature Group.
	FeatureGroup pulumi.StringOutput `pulumi:"featureGroup"`
	// The labels with user-defined metadata to organize your FeatureGroup.
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapOutput `pulumi:"labels"`
	// The resource name of the Feature Group Feature.
	Name pulumi.StringOutput `pulumi:"name"`
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringOutput `pulumi:"project"`
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapOutput `pulumi:"pulumiLabels"`
	// The region for the resource. It should be the same as the feature group's region.
	//
	// ***
	Region pulumi.StringOutput `pulumi:"region"`
	// The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringOutput `pulumi:"updateTime"`
	// The name of the BigQuery Table/View column hosting data for this version. If no value is provided, will use featureId.
	VersionColumnName pulumi.StringOutput `pulumi:"versionColumnName"`
}

Vertex AI Feature Group Feature is feature metadata information.

To get more information about FeatureGroupFeature, see:

* [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1beta1/projects.locations.featureGroups.features) * How-to Guides

## Example Usage

### Vertex Ai Feature Group Feature

```go package main

import ( 

"fmt"

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/bigquery"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		sampleDataset, err := bigquery.NewDataset(ctx, "sample_dataset", &bigquery.DatasetArgs{
			DatasetId:    pulumi.String("job_load_dataset"),
			FriendlyName: pulumi.String("test"),
			Description:  pulumi.String("This is a test description"),
			Location:     pulumi.String("US"),
		})
		if err != nil {
			return err
		}
		sampleTable, err := bigquery.NewTable(ctx, "sample_table", &bigquery.TableArgs{
			DeletionProtection: pulumi.Bool(false),
			DatasetId:          sampleDataset.DatasetId,
			TableId:            pulumi.String("job_load_table"),
			Schema: pulumi.String(`[
    {
        "name": "feature_id",
        "type": "STRING",
        "mode": "NULLABLE"
    },
    {
        "name": "example_feature",
        "type": "STRING",
        "mode": "NULLABLE"
    },
    {
        "name": "feature_timestamp",
        "type": "TIMESTAMP",
        "mode": "NULLABLE"
    }

] `), 

		})
		if err != nil {
			return err
		}
		sampleFeatureGroup, err := vertex.NewAiFeatureGroup(ctx, "sample_feature_group", &vertex.AiFeatureGroupArgs{
			Name:        pulumi.String("example_feature_group"),
			Description: pulumi.String("A sample feature group"),
			Region:      pulumi.String("us-central1"),
			Labels: pulumi.StringMap{
				"label-one": pulumi.String("value-one"),
			},
			BigQuery: &vertex.AiFeatureGroupBigQueryArgs{
				BigQuerySource: &vertex.AiFeatureGroupBigQueryBigQuerySourceArgs{
					InputUri: pulumi.All(sampleTable.Project, sampleTable.DatasetId, sampleTable.TableId).ApplyT(func(_args []interface{}) (string, error) {
						project := _args[0].(string)
						datasetId := _args[1].(string)
						tableId := _args[2].(string)
						return fmt.Sprintf("bq://%v.%v.%v", project, datasetId, tableId), nil
					}).(pulumi.StringOutput),
				},
				EntityIdColumns: pulumi.StringArray{
					pulumi.String("feature_id"),
				},
			},
		})
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureGroupFeature(ctx, "feature_group_feature", &vertex.AiFeatureGroupFeatureArgs{
			Name:         pulumi.String("example_feature"),
			Region:       pulumi.String("us-central1"),
			FeatureGroup: sampleFeatureGroup.Name,
			Description:  pulumi.String("A sample feature"),
			Labels: pulumi.StringMap{
				"label-one": pulumi.String("value-one"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

```

## Import

FeatureGroupFeature can be imported using any of these accepted formats:

* `projects/{{project}}/locations/{{region}}/featureGroups/{{feature_group}}/features/{{name}}`

* `{{project}}/{{region}}/{{feature_group}}/{{name}}`

* `{{region}}/{{feature_group}}/{{name}}`

* `{{feature_group}}/{{name}}`

When using the `pulumi import` command, FeatureGroupFeature can be imported using one of the formats above. For example:

```sh $ pulumi import gcp:vertex/aiFeatureGroupFeature:AiFeatureGroupFeature default projects/{{project}}/locations/{{region}}/featureGroups/{{feature_group}}/features/{{name}} ```

```sh $ pulumi import gcp:vertex/aiFeatureGroupFeature:AiFeatureGroupFeature default {{project}}/{{region}}/{{feature_group}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiFeatureGroupFeature:AiFeatureGroupFeature default {{region}}/{{feature_group}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiFeatureGroupFeature:AiFeatureGroupFeature default {{feature_group}}/{{name}} ```

func GetAiFeatureGroupFeature 

func GetAiFeatureGroupFeature(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiFeatureGroupFeatureState, opts ...pulumi.ResourceOption) (*AiFeatureGroupFeature, error)

GetAiFeatureGroupFeature gets an existing AiFeatureGroupFeature resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiFeatureGroupFeature 

func NewAiFeatureGroupFeature(ctx *pulumi.Context,
	name string, args *AiFeatureGroupFeatureArgs, opts ...pulumi.ResourceOption) (*AiFeatureGroupFeature, error)

NewAiFeatureGroupFeature registers a new resource with the given unique name, arguments, and options.

func (*AiFeatureGroupFeature) ElementType 

func (*AiFeatureGroupFeature) ElementType() reflect.Type

func (*AiFeatureGroupFeature) ToAiFeatureGroupFeatureOutput 

func (i *AiFeatureGroupFeature) ToAiFeatureGroupFeatureOutput() AiFeatureGroupFeatureOutput

func (*AiFeatureGroupFeature) ToAiFeatureGroupFeatureOutputWithContext 

func (i *AiFeatureGroupFeature) ToAiFeatureGroupFeatureOutputWithContext(ctx context.Context) AiFeatureGroupFeatureOutput

type AiFeatureGroupFeatureArgs 

type AiFeatureGroupFeatureArgs struct {
	// The description of the FeatureGroup.
	Description pulumi.StringPtrInput
	// The name of the Feature Group.
	FeatureGroup pulumi.StringInput
	// The labels with user-defined metadata to organize your FeatureGroup.
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// The resource name of the Feature Group Feature.
	Name pulumi.StringPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The region for the resource. It should be the same as the feature group's region.
	//
	// ***
	Region pulumi.StringInput
	// The name of the BigQuery Table/View column hosting data for this version. If no value is provided, will use featureId.
	VersionColumnName pulumi.StringPtrInput
}

The set of arguments for constructing a AiFeatureGroupFeature resource.

func (AiFeatureGroupFeatureArgs) ElementType 

func (AiFeatureGroupFeatureArgs) ElementType() reflect.Type

type AiFeatureGroupFeatureArray 

type AiFeatureGroupFeatureArray []AiFeatureGroupFeatureInput

func (AiFeatureGroupFeatureArray) ElementType 

func (AiFeatureGroupFeatureArray) ElementType() reflect.Type

func (AiFeatureGroupFeatureArray) ToAiFeatureGroupFeatureArrayOutput 

func (i AiFeatureGroupFeatureArray) ToAiFeatureGroupFeatureArrayOutput() AiFeatureGroupFeatureArrayOutput

func (AiFeatureGroupFeatureArray) ToAiFeatureGroupFeatureArrayOutputWithContext 

func (i AiFeatureGroupFeatureArray) ToAiFeatureGroupFeatureArrayOutputWithContext(ctx context.Context) AiFeatureGroupFeatureArrayOutput

type AiFeatureGroupFeatureArrayInput 

type AiFeatureGroupFeatureArrayInput interface {
	pulumi.Input

	ToAiFeatureGroupFeatureArrayOutput() AiFeatureGroupFeatureArrayOutput
	ToAiFeatureGroupFeatureArrayOutputWithContext(context.Context) AiFeatureGroupFeatureArrayOutput
}

AiFeatureGroupFeatureArrayInput is an input type that accepts AiFeatureGroupFeatureArray and AiFeatureGroupFeatureArrayOutput values. You can construct a concrete instance of `AiFeatureGroupFeatureArrayInput` via: 

AiFeatureGroupFeatureArray{ AiFeatureGroupFeatureArgs{...} }

type AiFeatureGroupFeatureArrayOutput 

type AiFeatureGroupFeatureArrayOutput struct{ *pulumi.OutputState }

func (AiFeatureGroupFeatureArrayOutput) ElementType 

func (AiFeatureGroupFeatureArrayOutput) ElementType() reflect.Type

func (AiFeatureGroupFeatureArrayOutput) Index 

func (o AiFeatureGroupFeatureArrayOutput) Index(i pulumi.IntInput) AiFeatureGroupFeatureOutput

func (AiFeatureGroupFeatureArrayOutput) ToAiFeatureGroupFeatureArrayOutput 

func (o AiFeatureGroupFeatureArrayOutput) ToAiFeatureGroupFeatureArrayOutput() AiFeatureGroupFeatureArrayOutput

func (AiFeatureGroupFeatureArrayOutput) ToAiFeatureGroupFeatureArrayOutputWithContext 

func (o AiFeatureGroupFeatureArrayOutput) ToAiFeatureGroupFeatureArrayOutputWithContext(ctx context.Context) AiFeatureGroupFeatureArrayOutput

type AiFeatureGroupFeatureInput 

type AiFeatureGroupFeatureInput interface {
	pulumi.Input

	ToAiFeatureGroupFeatureOutput() AiFeatureGroupFeatureOutput
	ToAiFeatureGroupFeatureOutputWithContext(ctx context.Context) AiFeatureGroupFeatureOutput
}

type AiFeatureGroupFeatureMap 

type AiFeatureGroupFeatureMap map[string]AiFeatureGroupFeatureInput

func (AiFeatureGroupFeatureMap) ElementType 

func (AiFeatureGroupFeatureMap) ElementType() reflect.Type

func (AiFeatureGroupFeatureMap) ToAiFeatureGroupFeatureMapOutput 

func (i AiFeatureGroupFeatureMap) ToAiFeatureGroupFeatureMapOutput() AiFeatureGroupFeatureMapOutput

func (AiFeatureGroupFeatureMap) ToAiFeatureGroupFeatureMapOutputWithContext 

func (i AiFeatureGroupFeatureMap) ToAiFeatureGroupFeatureMapOutputWithContext(ctx context.Context) AiFeatureGroupFeatureMapOutput

type AiFeatureGroupFeatureMapInput 

type AiFeatureGroupFeatureMapInput interface {
	pulumi.Input

	ToAiFeatureGroupFeatureMapOutput() AiFeatureGroupFeatureMapOutput
	ToAiFeatureGroupFeatureMapOutputWithContext(context.Context) AiFeatureGroupFeatureMapOutput
}

AiFeatureGroupFeatureMapInput is an input type that accepts AiFeatureGroupFeatureMap and AiFeatureGroupFeatureMapOutput values. You can construct a concrete instance of `AiFeatureGroupFeatureMapInput` via: 

AiFeatureGroupFeatureMap{ "key": AiFeatureGroupFeatureArgs{...} }

type AiFeatureGroupFeatureMapOutput 

type AiFeatureGroupFeatureMapOutput struct{ *pulumi.OutputState }

func (AiFeatureGroupFeatureMapOutput) ElementType 

func (AiFeatureGroupFeatureMapOutput) ElementType() reflect.Type

func (AiFeatureGroupFeatureMapOutput) MapIndex 

func (o AiFeatureGroupFeatureMapOutput) MapIndex(k pulumi.StringInput) AiFeatureGroupFeatureOutput

func (AiFeatureGroupFeatureMapOutput) ToAiFeatureGroupFeatureMapOutput 

func (o AiFeatureGroupFeatureMapOutput) ToAiFeatureGroupFeatureMapOutput() AiFeatureGroupFeatureMapOutput

func (AiFeatureGroupFeatureMapOutput) ToAiFeatureGroupFeatureMapOutputWithContext 

func (o AiFeatureGroupFeatureMapOutput) ToAiFeatureGroupFeatureMapOutputWithContext(ctx context.Context) AiFeatureGroupFeatureMapOutput

type AiFeatureGroupFeatureOutput 

type AiFeatureGroupFeatureOutput struct{ *pulumi.OutputState }

func (AiFeatureGroupFeatureOutput) CreateTime 

func (o AiFeatureGroupFeatureOutput) CreateTime() pulumi.StringOutput

The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

func (AiFeatureGroupFeatureOutput) Description 

func (o AiFeatureGroupFeatureOutput) Description() pulumi.StringPtrOutput

The description of the FeatureGroup.

func (AiFeatureGroupFeatureOutput) EffectiveLabels 

func (o AiFeatureGroupFeatureOutput) EffectiveLabels() pulumi.StringMapOutput

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

func (AiFeatureGroupFeatureOutput) ElementType 

func (AiFeatureGroupFeatureOutput) ElementType() reflect.Type

func (AiFeatureGroupFeatureOutput) FeatureGroup 

func (o AiFeatureGroupFeatureOutput) FeatureGroup() pulumi.StringOutput

The name of the Feature Group.

func (AiFeatureGroupFeatureOutput) Labels 

func (o AiFeatureGroupFeatureOutput) Labels() pulumi.StringMapOutput

The labels with user-defined metadata to organize your FeatureGroup. **Note**: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field `effectiveLabels` for all of the labels present on the resource.

func (AiFeatureGroupFeatureOutput) Name 

func (o AiFeatureGroupFeatureOutput) Name() pulumi.StringOutput

The resource name of the Feature Group Feature.

func (AiFeatureGroupFeatureOutput) Project 

func (o AiFeatureGroupFeatureOutput) Project() pulumi.StringOutput

The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

func (AiFeatureGroupFeatureOutput) PulumiLabels 

func (o AiFeatureGroupFeatureOutput) PulumiLabels() pulumi.StringMapOutput

The combination of labels configured directly on the resource and default labels configured on the provider.

func (AiFeatureGroupFeatureOutput) Region 

func (o AiFeatureGroupFeatureOutput) Region() pulumi.StringOutput

The region for the resource. It should be the same as the feature group's region.

***

func (AiFeatureGroupFeatureOutput) ToAiFeatureGroupFeatureOutput 

func (o AiFeatureGroupFeatureOutput) ToAiFeatureGroupFeatureOutput() AiFeatureGroupFeatureOutput

func (AiFeatureGroupFeatureOutput) ToAiFeatureGroupFeatureOutputWithContext 

func (o AiFeatureGroupFeatureOutput) ToAiFeatureGroupFeatureOutputWithContext(ctx context.Context) AiFeatureGroupFeatureOutput

func (AiFeatureGroupFeatureOutput) UpdateTime 

func (o AiFeatureGroupFeatureOutput) UpdateTime() pulumi.StringOutput

The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

func (AiFeatureGroupFeatureOutput) VersionColumnName 

func (o AiFeatureGroupFeatureOutput) VersionColumnName() pulumi.StringOutput

The name of the BigQuery Table/View column hosting data for this version. If no value is provided, will use featureId.

type AiFeatureGroupFeatureState 

type AiFeatureGroupFeatureState struct {
	// The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringPtrInput
	// The description of the FeatureGroup.
	Description pulumi.StringPtrInput
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapInput
	// The name of the Feature Group.
	FeatureGroup pulumi.StringPtrInput
	// The labels with user-defined metadata to organize your FeatureGroup.
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// The resource name of the Feature Group Feature.
	Name pulumi.StringPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapInput
	// The region for the resource. It should be the same as the feature group's region.
	//
	// ***
	Region pulumi.StringPtrInput
	// The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringPtrInput
	// The name of the BigQuery Table/View column hosting data for this version. If no value is provided, will use featureId.
	VersionColumnName pulumi.StringPtrInput
}

func (AiFeatureGroupFeatureState) ElementType 

func (AiFeatureGroupFeatureState) ElementType() reflect.Type

type AiFeatureGroupInput 

type AiFeatureGroupInput interface {
	pulumi.Input

	ToAiFeatureGroupOutput() AiFeatureGroupOutput
	ToAiFeatureGroupOutputWithContext(ctx context.Context) AiFeatureGroupOutput
}

type AiFeatureGroupMap 

type AiFeatureGroupMap map[string]AiFeatureGroupInput

func (AiFeatureGroupMap) ElementType 

func (AiFeatureGroupMap) ElementType() reflect.Type

func (AiFeatureGroupMap) ToAiFeatureGroupMapOutput 

func (i AiFeatureGroupMap) ToAiFeatureGroupMapOutput() AiFeatureGroupMapOutput

func (AiFeatureGroupMap) ToAiFeatureGroupMapOutputWithContext 

func (i AiFeatureGroupMap) ToAiFeatureGroupMapOutputWithContext(ctx context.Context) AiFeatureGroupMapOutput

type AiFeatureGroupMapInput 

type AiFeatureGroupMapInput interface {
	pulumi.Input

	ToAiFeatureGroupMapOutput() AiFeatureGroupMapOutput
	ToAiFeatureGroupMapOutputWithContext(context.Context) AiFeatureGroupMapOutput
}

AiFeatureGroupMapInput is an input type that accepts AiFeatureGroupMap and AiFeatureGroupMapOutput values. You can construct a concrete instance of `AiFeatureGroupMapInput` via: 

AiFeatureGroupMap{ "key": AiFeatureGroupArgs{...} }

type AiFeatureGroupMapOutput 

type AiFeatureGroupMapOutput struct{ *pulumi.OutputState }

func (AiFeatureGroupMapOutput) ElementType 

func (AiFeatureGroupMapOutput) ElementType() reflect.Type

func (AiFeatureGroupMapOutput) MapIndex 

func (o AiFeatureGroupMapOutput) MapIndex(k pulumi.StringInput) AiFeatureGroupOutput

func (AiFeatureGroupMapOutput) ToAiFeatureGroupMapOutput 

func (o AiFeatureGroupMapOutput) ToAiFeatureGroupMapOutput() AiFeatureGroupMapOutput

func (AiFeatureGroupMapOutput) ToAiFeatureGroupMapOutputWithContext 

func (o AiFeatureGroupMapOutput) ToAiFeatureGroupMapOutputWithContext(ctx context.Context) AiFeatureGroupMapOutput

type AiFeatureGroupOutput 

type AiFeatureGroupOutput struct{ *pulumi.OutputState }

func (AiFeatureGroupOutput) BigQuery 

func (o AiFeatureGroupOutput) BigQuery() AiFeatureGroupBigQueryPtrOutput

Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a featureTimestamp column in the source. Structure is documented below.

func (AiFeatureGroupOutput) CreateTime 

func (o AiFeatureGroupOutput) CreateTime() pulumi.StringOutput

The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

func (AiFeatureGroupOutput) Description 

func (o AiFeatureGroupOutput) Description() pulumi.StringPtrOutput

The description of the FeatureGroup.

func (AiFeatureGroupOutput) EffectiveLabels 

func (o AiFeatureGroupOutput) EffectiveLabels() pulumi.StringMapOutput

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

func (AiFeatureGroupOutput) ElementType 

func (AiFeatureGroupOutput) ElementType() reflect.Type

func (AiFeatureGroupOutput) Etag 

func (o AiFeatureGroupOutput) Etag() pulumi.StringOutput

Used to perform consistent read-modify-write updates.

func (AiFeatureGroupOutput) Labels 

func (o AiFeatureGroupOutput) Labels() pulumi.StringMapOutput

The labels with user-defined metadata to organize your FeatureGroup. **Note**: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field `effectiveLabels` for all of the labels present on the resource.

func (AiFeatureGroupOutput) Name 

func (o AiFeatureGroupOutput) Name() pulumi.StringOutput

The resource name of the Feature Group.

func (AiFeatureGroupOutput) Project 

func (o AiFeatureGroupOutput) Project() pulumi.StringOutput

The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

func (AiFeatureGroupOutput) PulumiLabels 

func (o AiFeatureGroupOutput) PulumiLabels() pulumi.StringMapOutput

The combination of labels configured directly on the resource and default labels configured on the provider.

func (AiFeatureGroupOutput) Region 

func (o AiFeatureGroupOutput) Region() pulumi.StringPtrOutput

The region of feature group. eg us-central1

func (AiFeatureGroupOutput) ToAiFeatureGroupOutput 

func (o AiFeatureGroupOutput) ToAiFeatureGroupOutput() AiFeatureGroupOutput

func (AiFeatureGroupOutput) ToAiFeatureGroupOutputWithContext 

func (o AiFeatureGroupOutput) ToAiFeatureGroupOutputWithContext(ctx context.Context) AiFeatureGroupOutput

func (AiFeatureGroupOutput) UpdateTime 

func (o AiFeatureGroupOutput) UpdateTime() pulumi.StringOutput

The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

type AiFeatureGroupState 

type AiFeatureGroupState struct {
	// Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a featureTimestamp column in the source.
	// Structure is documented below.
	BigQuery AiFeatureGroupBigQueryPtrInput
	// The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringPtrInput
	// The description of the FeatureGroup.
	Description pulumi.StringPtrInput
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapInput
	// Used to perform consistent read-modify-write updates.
	Etag pulumi.StringPtrInput
	// The labels with user-defined metadata to organize your FeatureGroup.
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// The resource name of the Feature Group.
	Name pulumi.StringPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapInput
	// The region of feature group. eg us-central1
	Region pulumi.StringPtrInput
	// The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringPtrInput
}

func (AiFeatureGroupState) ElementType 

func (AiFeatureGroupState) ElementType() reflect.Type

type AiFeatureOnlineStore 

type AiFeatureOnlineStore struct {
	pulumi.CustomResourceState

	// Settings for Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore.
	// Structure is documented below.
	Bigtable AiFeatureOnlineStoreBigtablePtrOutput `pulumi:"bigtable"`
	// The timestamp of when the feature online store was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringOutput `pulumi:"createTime"`
	// The dedicated serving endpoint for this FeatureOnlineStore, which is different from common vertex service endpoint. Only need to be set when you choose Optimized storage type or enable EmbeddingManagement. Will use public endpoint by default.
	// Structure is documented below.
	DedicatedServingEndpoint AiFeatureOnlineStoreDedicatedServingEndpointOutput `pulumi:"dedicatedServingEndpoint"`
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapOutput `pulumi:"effectiveLabels"`
	// The settings for embedding management in FeatureOnlineStore. Embedding management can only be set for BigTable. It is enabled by default for optimized storagetype.
	// Structure is documented below.
	//
	// > **Warning:** `embeddingManagement` is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type
	//
	// Deprecated: `embeddingManagement` is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type
	EmbeddingManagement AiFeatureOnlineStoreEmbeddingManagementOutput `pulumi:"embeddingManagement"`
	// Used to perform consistent read-modify-write updates.
	Etag pulumi.StringOutput `pulumi:"etag"`
	// If set to true, any FeatureViews and Features for this FeatureOnlineStore will also be deleted.
	ForceDestroy pulumi.BoolPtrOutput `pulumi:"forceDestroy"`
	// The labels with user-defined metadata to organize your feature online stores.
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapOutput `pulumi:"labels"`
	// The resource name of the Feature Online Store. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.
	//
	// ***
	Name pulumi.StringOutput `pulumi:"name"`
	// Settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore
	Optimized AiFeatureOnlineStoreOptimizedPtrOutput `pulumi:"optimized"`
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringOutput `pulumi:"project"`
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapOutput `pulumi:"pulumiLabels"`
	// The region of feature online store. eg us-central1
	Region pulumi.StringOutput `pulumi:"region"`
	// The state of the Feature Online Store. See the possible states in [this link](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featureOnlineStores#state).
	State pulumi.StringOutput `pulumi:"state"`
	// The timestamp of when the feature online store was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringOutput `pulumi:"updateTime"`
}

Vertex AI Feature Online Store provides a centralized repository for serving ML features and embedding indexes at low latency. The Feature Online Store is a top-level container.

To get more information about FeatureOnlineStore, see:

* [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featureOnlineStores) * How-to Guides

## Example Usage

### Vertex Ai Feature Online Store

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiFeatureOnlineStore(ctx, "feature_online_store", &vertex.AiFeatureOnlineStoreArgs{
			Name: pulumi.String("example_feature_online_store"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			Bigtable: &vertex.AiFeatureOnlineStoreBigtableArgs{
				AutoScaling: &vertex.AiFeatureOnlineStoreBigtableAutoScalingArgs{
					MinNodeCount:         pulumi.Int(1),
					MaxNodeCount:         pulumi.Int(3),
					CpuUtilizationTarget: pulumi.Int(50),
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

``` ### Vertex Ai Featureonlinestore With Optimized

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/organizations"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		project, err := organizations.LookupProject(ctx, &organizations.LookupProjectArgs{}, nil)
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureOnlineStore(ctx, "featureonlinestore", &vertex.AiFeatureOnlineStoreArgs{
			Name: pulumi.String("example_feature_online_store_optimized"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region:    pulumi.String("us-central1"),
			Optimized: &vertex.AiFeatureOnlineStoreOptimizedArgs{},
			DedicatedServingEndpoint: &vertex.AiFeatureOnlineStoreDedicatedServingEndpointArgs{
				PrivateServiceConnectConfig: &vertex.AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs{
					EnablePrivateServiceConnect: pulumi.Bool(true),
					ProjectAllowlists: pulumi.StringArray{
						pulumi.String(project.Number),
					},
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

``` ### Vertex Ai Featureonlinestore With Beta Fields Bigtable

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/organizations"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiFeatureOnlineStore(ctx, "featureonlinestore", &vertex.AiFeatureOnlineStoreArgs{
			Name: pulumi.String("example_feature_online_store_beta_bigtable"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			Bigtable: &vertex.AiFeatureOnlineStoreBigtableArgs{
				AutoScaling: &vertex.AiFeatureOnlineStoreBigtableAutoScalingArgs{
					MinNodeCount:         pulumi.Int(1),
					MaxNodeCount:         pulumi.Int(2),
					CpuUtilizationTarget: pulumi.Int(80),
				},
			},
			EmbeddingManagement: &vertex.AiFeatureOnlineStoreEmbeddingManagementArgs{
				Enabled: pulumi.Bool(true),
			},
			ForceDestroy: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		_, err = organizations.LookupProject(ctx, &organizations.LookupProjectArgs{}, nil)
		if err != nil {
			return err
		}
		return nil
	})
}

```

## Import

FeatureOnlineStore can be imported using any of these accepted formats:

* `projects/{{project}}/locations/{{region}}/featureOnlineStores/{{name}}`

* `{{project}}/{{region}}/{{name}}`

* `{{region}}/{{name}}`

* `{{name}}`

When using the `pulumi import` command, FeatureOnlineStore can be imported using one of the formats above. For example:

```sh $ pulumi import gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore default projects/{{project}}/locations/{{region}}/featureOnlineStores/{{name}} ```

```sh $ pulumi import gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore default {{project}}/{{region}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore default {{region}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore default {{name}} ```

func GetAiFeatureOnlineStore 

func GetAiFeatureOnlineStore(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiFeatureOnlineStoreState, opts ...pulumi.ResourceOption) (*AiFeatureOnlineStore, error)

GetAiFeatureOnlineStore gets an existing AiFeatureOnlineStore resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiFeatureOnlineStore 

func NewAiFeatureOnlineStore(ctx *pulumi.Context,
	name string, args *AiFeatureOnlineStoreArgs, opts ...pulumi.ResourceOption) (*AiFeatureOnlineStore, error)

NewAiFeatureOnlineStore registers a new resource with the given unique name, arguments, and options.

func (*AiFeatureOnlineStore) ElementType 

func (*AiFeatureOnlineStore) ElementType() reflect.Type

func (*AiFeatureOnlineStore) ToAiFeatureOnlineStoreOutput 

func (i *AiFeatureOnlineStore) ToAiFeatureOnlineStoreOutput() AiFeatureOnlineStoreOutput

func (*AiFeatureOnlineStore) ToAiFeatureOnlineStoreOutputWithContext 

func (i *AiFeatureOnlineStore) ToAiFeatureOnlineStoreOutputWithContext(ctx context.Context) AiFeatureOnlineStoreOutput

type AiFeatureOnlineStoreArgs 

type AiFeatureOnlineStoreArgs struct {
	// Settings for Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore.
	// Structure is documented below.
	Bigtable AiFeatureOnlineStoreBigtablePtrInput
	// The dedicated serving endpoint for this FeatureOnlineStore, which is different from common vertex service endpoint. Only need to be set when you choose Optimized storage type or enable EmbeddingManagement. Will use public endpoint by default.
	// Structure is documented below.
	DedicatedServingEndpoint AiFeatureOnlineStoreDedicatedServingEndpointPtrInput
	// The settings for embedding management in FeatureOnlineStore. Embedding management can only be set for BigTable. It is enabled by default for optimized storagetype.
	// Structure is documented below.
	//
	// > **Warning:** `embeddingManagement` is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type
	//
	// Deprecated: `embeddingManagement` is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type
	EmbeddingManagement AiFeatureOnlineStoreEmbeddingManagementPtrInput
	// If set to true, any FeatureViews and Features for this FeatureOnlineStore will also be deleted.
	ForceDestroy pulumi.BoolPtrInput
	// The labels with user-defined metadata to organize your feature online stores.
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// The resource name of the Feature Online Store. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.
	//
	// ***
	Name pulumi.StringPtrInput
	// Settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore
	Optimized AiFeatureOnlineStoreOptimizedPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The region of feature online store. eg us-central1
	Region pulumi.StringPtrInput
}

The set of arguments for constructing a AiFeatureOnlineStore resource.

func (AiFeatureOnlineStoreArgs) ElementType 

func (AiFeatureOnlineStoreArgs) ElementType() reflect.Type

type AiFeatureOnlineStoreArray 

type AiFeatureOnlineStoreArray []AiFeatureOnlineStoreInput

func (AiFeatureOnlineStoreArray) ElementType 

func (AiFeatureOnlineStoreArray) ElementType() reflect.Type

func (AiFeatureOnlineStoreArray) ToAiFeatureOnlineStoreArrayOutput 

func (i AiFeatureOnlineStoreArray) ToAiFeatureOnlineStoreArrayOutput() AiFeatureOnlineStoreArrayOutput

func (AiFeatureOnlineStoreArray) ToAiFeatureOnlineStoreArrayOutputWithContext 

func (i AiFeatureOnlineStoreArray) ToAiFeatureOnlineStoreArrayOutputWithContext(ctx context.Context) AiFeatureOnlineStoreArrayOutput

type AiFeatureOnlineStoreArrayInput 

type AiFeatureOnlineStoreArrayInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreArrayOutput() AiFeatureOnlineStoreArrayOutput
	ToAiFeatureOnlineStoreArrayOutputWithContext(context.Context) AiFeatureOnlineStoreArrayOutput
}

AiFeatureOnlineStoreArrayInput is an input type that accepts AiFeatureOnlineStoreArray and AiFeatureOnlineStoreArrayOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreArrayInput` via: 

AiFeatureOnlineStoreArray{ AiFeatureOnlineStoreArgs{...} }

type AiFeatureOnlineStoreArrayOutput 

type AiFeatureOnlineStoreArrayOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreArrayOutput) ElementType 

func (AiFeatureOnlineStoreArrayOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreArrayOutput) Index 

func (o AiFeatureOnlineStoreArrayOutput) Index(i pulumi.IntInput) AiFeatureOnlineStoreOutput

func (AiFeatureOnlineStoreArrayOutput) ToAiFeatureOnlineStoreArrayOutput 

func (o AiFeatureOnlineStoreArrayOutput) ToAiFeatureOnlineStoreArrayOutput() AiFeatureOnlineStoreArrayOutput

func (AiFeatureOnlineStoreArrayOutput) ToAiFeatureOnlineStoreArrayOutputWithContext 

func (o AiFeatureOnlineStoreArrayOutput) ToAiFeatureOnlineStoreArrayOutputWithContext(ctx context.Context) AiFeatureOnlineStoreArrayOutput

type AiFeatureOnlineStoreBigtable 

type AiFeatureOnlineStoreBigtable struct {
	// Autoscaling config applied to Bigtable Instance.
	// Structure is documented below.
	AutoScaling AiFeatureOnlineStoreBigtableAutoScaling `pulumi:"autoScaling"`
}

type AiFeatureOnlineStoreBigtableArgs 

type AiFeatureOnlineStoreBigtableArgs struct {
	// Autoscaling config applied to Bigtable Instance.
	// Structure is documented below.
	AutoScaling AiFeatureOnlineStoreBigtableAutoScalingInput `pulumi:"autoScaling"`
}

func (AiFeatureOnlineStoreBigtableArgs) ElementType 

func (AiFeatureOnlineStoreBigtableArgs) ElementType() reflect.Type

func (AiFeatureOnlineStoreBigtableArgs) ToAiFeatureOnlineStoreBigtableOutput 

func (i AiFeatureOnlineStoreBigtableArgs) ToAiFeatureOnlineStoreBigtableOutput() AiFeatureOnlineStoreBigtableOutput

func (AiFeatureOnlineStoreBigtableArgs) ToAiFeatureOnlineStoreBigtableOutputWithContext 

func (i AiFeatureOnlineStoreBigtableArgs) ToAiFeatureOnlineStoreBigtableOutputWithContext(ctx context.Context) AiFeatureOnlineStoreBigtableOutput

func (AiFeatureOnlineStoreBigtableArgs) ToAiFeatureOnlineStoreBigtablePtrOutput 

func (i AiFeatureOnlineStoreBigtableArgs) ToAiFeatureOnlineStoreBigtablePtrOutput() AiFeatureOnlineStoreBigtablePtrOutput

func (AiFeatureOnlineStoreBigtableArgs) ToAiFeatureOnlineStoreBigtablePtrOutputWithContext 

func (i AiFeatureOnlineStoreBigtableArgs) ToAiFeatureOnlineStoreBigtablePtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreBigtablePtrOutput

type AiFeatureOnlineStoreBigtableAutoScaling 

type AiFeatureOnlineStoreBigtableAutoScaling struct {
	// A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.
	CpuUtilizationTarget *int `pulumi:"cpuUtilizationTarget"`
	// The maximum number of nodes to scale up to. Must be greater than or equal to minNodeCount, and less than or equal to 10 times of 'minNodeCount'.
	MaxNodeCount int `pulumi:"maxNodeCount"`
	// The minimum number of nodes to scale down to. Must be greater than or equal to 1.
	MinNodeCount int `pulumi:"minNodeCount"`
}

type AiFeatureOnlineStoreBigtableAutoScalingArgs 

type AiFeatureOnlineStoreBigtableAutoScalingArgs struct {
	// A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.
	CpuUtilizationTarget pulumi.IntPtrInput `pulumi:"cpuUtilizationTarget"`
	// The maximum number of nodes to scale up to. Must be greater than or equal to minNodeCount, and less than or equal to 10 times of 'minNodeCount'.
	MaxNodeCount pulumi.IntInput `pulumi:"maxNodeCount"`
	// The minimum number of nodes to scale down to. Must be greater than or equal to 1.
	MinNodeCount pulumi.IntInput `pulumi:"minNodeCount"`
}

func (AiFeatureOnlineStoreBigtableAutoScalingArgs) ElementType 

func (AiFeatureOnlineStoreBigtableAutoScalingArgs) ElementType() reflect.Type

func (AiFeatureOnlineStoreBigtableAutoScalingArgs) ToAiFeatureOnlineStoreBigtableAutoScalingOutput 

func (i AiFeatureOnlineStoreBigtableAutoScalingArgs) ToAiFeatureOnlineStoreBigtableAutoScalingOutput() AiFeatureOnlineStoreBigtableAutoScalingOutput

func (AiFeatureOnlineStoreBigtableAutoScalingArgs) ToAiFeatureOnlineStoreBigtableAutoScalingOutputWithContext 

func (i AiFeatureOnlineStoreBigtableAutoScalingArgs) ToAiFeatureOnlineStoreBigtableAutoScalingOutputWithContext(ctx context.Context) AiFeatureOnlineStoreBigtableAutoScalingOutput

func (AiFeatureOnlineStoreBigtableAutoScalingArgs) ToAiFeatureOnlineStoreBigtableAutoScalingPtrOutput 

func (i AiFeatureOnlineStoreBigtableAutoScalingArgs) ToAiFeatureOnlineStoreBigtableAutoScalingPtrOutput() AiFeatureOnlineStoreBigtableAutoScalingPtrOutput

func (AiFeatureOnlineStoreBigtableAutoScalingArgs) ToAiFeatureOnlineStoreBigtableAutoScalingPtrOutputWithContext 

func (i AiFeatureOnlineStoreBigtableAutoScalingArgs) ToAiFeatureOnlineStoreBigtableAutoScalingPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreBigtableAutoScalingPtrOutput

type AiFeatureOnlineStoreBigtableAutoScalingInput 

type AiFeatureOnlineStoreBigtableAutoScalingInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreBigtableAutoScalingOutput() AiFeatureOnlineStoreBigtableAutoScalingOutput
	ToAiFeatureOnlineStoreBigtableAutoScalingOutputWithContext(context.Context) AiFeatureOnlineStoreBigtableAutoScalingOutput
}

AiFeatureOnlineStoreBigtableAutoScalingInput is an input type that accepts AiFeatureOnlineStoreBigtableAutoScalingArgs and AiFeatureOnlineStoreBigtableAutoScalingOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreBigtableAutoScalingInput` via: 

AiFeatureOnlineStoreBigtableAutoScalingArgs{...}

type AiFeatureOnlineStoreBigtableAutoScalingOutput 

type AiFeatureOnlineStoreBigtableAutoScalingOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreBigtableAutoScalingOutput) CpuUtilizationTarget 

func (o AiFeatureOnlineStoreBigtableAutoScalingOutput) CpuUtilizationTarget() pulumi.IntPtrOutput

A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.

func (AiFeatureOnlineStoreBigtableAutoScalingOutput) ElementType 

func (AiFeatureOnlineStoreBigtableAutoScalingOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreBigtableAutoScalingOutput) MaxNodeCount 

func (o AiFeatureOnlineStoreBigtableAutoScalingOutput) MaxNodeCount() pulumi.IntOutput

The maximum number of nodes to scale up to. Must be greater than or equal to minNodeCount, and less than or equal to 10 times of 'minNodeCount'.

func (AiFeatureOnlineStoreBigtableAutoScalingOutput) MinNodeCount 

func (o AiFeatureOnlineStoreBigtableAutoScalingOutput) MinNodeCount() pulumi.IntOutput

The minimum number of nodes to scale down to. Must be greater than or equal to 1.

func (AiFeatureOnlineStoreBigtableAutoScalingOutput) ToAiFeatureOnlineStoreBigtableAutoScalingOutput 

func (o AiFeatureOnlineStoreBigtableAutoScalingOutput) ToAiFeatureOnlineStoreBigtableAutoScalingOutput() AiFeatureOnlineStoreBigtableAutoScalingOutput

func (AiFeatureOnlineStoreBigtableAutoScalingOutput) ToAiFeatureOnlineStoreBigtableAutoScalingOutputWithContext 

func (o AiFeatureOnlineStoreBigtableAutoScalingOutput) ToAiFeatureOnlineStoreBigtableAutoScalingOutputWithContext(ctx context.Context) AiFeatureOnlineStoreBigtableAutoScalingOutput

func (AiFeatureOnlineStoreBigtableAutoScalingOutput) ToAiFeatureOnlineStoreBigtableAutoScalingPtrOutput 

func (o AiFeatureOnlineStoreBigtableAutoScalingOutput) ToAiFeatureOnlineStoreBigtableAutoScalingPtrOutput() AiFeatureOnlineStoreBigtableAutoScalingPtrOutput

func (AiFeatureOnlineStoreBigtableAutoScalingOutput) ToAiFeatureOnlineStoreBigtableAutoScalingPtrOutputWithContext 

func (o AiFeatureOnlineStoreBigtableAutoScalingOutput) ToAiFeatureOnlineStoreBigtableAutoScalingPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreBigtableAutoScalingPtrOutput

type AiFeatureOnlineStoreBigtableAutoScalingPtrInput 

type AiFeatureOnlineStoreBigtableAutoScalingPtrInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreBigtableAutoScalingPtrOutput() AiFeatureOnlineStoreBigtableAutoScalingPtrOutput
	ToAiFeatureOnlineStoreBigtableAutoScalingPtrOutputWithContext(context.Context) AiFeatureOnlineStoreBigtableAutoScalingPtrOutput
}

AiFeatureOnlineStoreBigtableAutoScalingPtrInput is an input type that accepts AiFeatureOnlineStoreBigtableAutoScalingArgs, AiFeatureOnlineStoreBigtableAutoScalingPtr and AiFeatureOnlineStoreBigtableAutoScalingPtrOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreBigtableAutoScalingPtrInput` via: 

        AiFeatureOnlineStoreBigtableAutoScalingArgs{...}

or:

        nil

func AiFeatureOnlineStoreBigtableAutoScalingPtr 

func AiFeatureOnlineStoreBigtableAutoScalingPtr(v *AiFeatureOnlineStoreBigtableAutoScalingArgs) AiFeatureOnlineStoreBigtableAutoScalingPtrInput

type AiFeatureOnlineStoreBigtableAutoScalingPtrOutput 

type AiFeatureOnlineStoreBigtableAutoScalingPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreBigtableAutoScalingPtrOutput) CpuUtilizationTarget 

func (o AiFeatureOnlineStoreBigtableAutoScalingPtrOutput) CpuUtilizationTarget() pulumi.IntPtrOutput

A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.

func (AiFeatureOnlineStoreBigtableAutoScalingPtrOutput) Elem 

func (o AiFeatureOnlineStoreBigtableAutoScalingPtrOutput) Elem() AiFeatureOnlineStoreBigtableAutoScalingOutput

func (AiFeatureOnlineStoreBigtableAutoScalingPtrOutput) ElementType 

func (AiFeatureOnlineStoreBigtableAutoScalingPtrOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreBigtableAutoScalingPtrOutput) MaxNodeCount 

func (o AiFeatureOnlineStoreBigtableAutoScalingPtrOutput) MaxNodeCount() pulumi.IntPtrOutput

The maximum number of nodes to scale up to. Must be greater than or equal to minNodeCount, and less than or equal to 10 times of 'minNodeCount'.

func (AiFeatureOnlineStoreBigtableAutoScalingPtrOutput) MinNodeCount 

func (o AiFeatureOnlineStoreBigtableAutoScalingPtrOutput) MinNodeCount() pulumi.IntPtrOutput

The minimum number of nodes to scale down to. Must be greater than or equal to 1.

func (AiFeatureOnlineStoreBigtableAutoScalingPtrOutput) ToAiFeatureOnlineStoreBigtableAutoScalingPtrOutput 

func (o AiFeatureOnlineStoreBigtableAutoScalingPtrOutput) ToAiFeatureOnlineStoreBigtableAutoScalingPtrOutput() AiFeatureOnlineStoreBigtableAutoScalingPtrOutput

func (AiFeatureOnlineStoreBigtableAutoScalingPtrOutput) ToAiFeatureOnlineStoreBigtableAutoScalingPtrOutputWithContext 

func (o AiFeatureOnlineStoreBigtableAutoScalingPtrOutput) ToAiFeatureOnlineStoreBigtableAutoScalingPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreBigtableAutoScalingPtrOutput

type AiFeatureOnlineStoreBigtableInput 

type AiFeatureOnlineStoreBigtableInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreBigtableOutput() AiFeatureOnlineStoreBigtableOutput
	ToAiFeatureOnlineStoreBigtableOutputWithContext(context.Context) AiFeatureOnlineStoreBigtableOutput
}

AiFeatureOnlineStoreBigtableInput is an input type that accepts AiFeatureOnlineStoreBigtableArgs and AiFeatureOnlineStoreBigtableOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreBigtableInput` via: 

AiFeatureOnlineStoreBigtableArgs{...}

type AiFeatureOnlineStoreBigtableOutput 

type AiFeatureOnlineStoreBigtableOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreBigtableOutput) AutoScaling 

func (o AiFeatureOnlineStoreBigtableOutput) AutoScaling() AiFeatureOnlineStoreBigtableAutoScalingOutput

Autoscaling config applied to Bigtable Instance. Structure is documented below.

func (AiFeatureOnlineStoreBigtableOutput) ElementType 

func (AiFeatureOnlineStoreBigtableOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreBigtableOutput) ToAiFeatureOnlineStoreBigtableOutput 

func (o AiFeatureOnlineStoreBigtableOutput) ToAiFeatureOnlineStoreBigtableOutput() AiFeatureOnlineStoreBigtableOutput

func (AiFeatureOnlineStoreBigtableOutput) ToAiFeatureOnlineStoreBigtableOutputWithContext 

func (o AiFeatureOnlineStoreBigtableOutput) ToAiFeatureOnlineStoreBigtableOutputWithContext(ctx context.Context) AiFeatureOnlineStoreBigtableOutput

func (AiFeatureOnlineStoreBigtableOutput) ToAiFeatureOnlineStoreBigtablePtrOutput 

func (o AiFeatureOnlineStoreBigtableOutput) ToAiFeatureOnlineStoreBigtablePtrOutput() AiFeatureOnlineStoreBigtablePtrOutput

func (AiFeatureOnlineStoreBigtableOutput) ToAiFeatureOnlineStoreBigtablePtrOutputWithContext 

func (o AiFeatureOnlineStoreBigtableOutput) ToAiFeatureOnlineStoreBigtablePtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreBigtablePtrOutput

type AiFeatureOnlineStoreBigtablePtrInput 

type AiFeatureOnlineStoreBigtablePtrInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreBigtablePtrOutput() AiFeatureOnlineStoreBigtablePtrOutput
	ToAiFeatureOnlineStoreBigtablePtrOutputWithContext(context.Context) AiFeatureOnlineStoreBigtablePtrOutput
}

AiFeatureOnlineStoreBigtablePtrInput is an input type that accepts AiFeatureOnlineStoreBigtableArgs, AiFeatureOnlineStoreBigtablePtr and AiFeatureOnlineStoreBigtablePtrOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreBigtablePtrInput` via: 

        AiFeatureOnlineStoreBigtableArgs{...}

or:

        nil

func AiFeatureOnlineStoreBigtablePtr 

func AiFeatureOnlineStoreBigtablePtr(v *AiFeatureOnlineStoreBigtableArgs) AiFeatureOnlineStoreBigtablePtrInput

type AiFeatureOnlineStoreBigtablePtrOutput 

type AiFeatureOnlineStoreBigtablePtrOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreBigtablePtrOutput) AutoScaling 

func (o AiFeatureOnlineStoreBigtablePtrOutput) AutoScaling() AiFeatureOnlineStoreBigtableAutoScalingPtrOutput

Autoscaling config applied to Bigtable Instance. Structure is documented below.

func (AiFeatureOnlineStoreBigtablePtrOutput) Elem 

func (o AiFeatureOnlineStoreBigtablePtrOutput) Elem() AiFeatureOnlineStoreBigtableOutput

func (AiFeatureOnlineStoreBigtablePtrOutput) ElementType 

func (AiFeatureOnlineStoreBigtablePtrOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreBigtablePtrOutput) ToAiFeatureOnlineStoreBigtablePtrOutput 

func (o AiFeatureOnlineStoreBigtablePtrOutput) ToAiFeatureOnlineStoreBigtablePtrOutput() AiFeatureOnlineStoreBigtablePtrOutput

func (AiFeatureOnlineStoreBigtablePtrOutput) ToAiFeatureOnlineStoreBigtablePtrOutputWithContext 

func (o AiFeatureOnlineStoreBigtablePtrOutput) ToAiFeatureOnlineStoreBigtablePtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreBigtablePtrOutput

type AiFeatureOnlineStoreDedicatedServingEndpoint 

type AiFeatureOnlineStoreDedicatedServingEndpoint struct {
	// Private service connect config.
	// Structure is documented below.
	PrivateServiceConnectConfig *AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfig `pulumi:"privateServiceConnectConfig"`
	// (Output)
	// Domain name to use for this FeatureOnlineStore
	PublicEndpointDomainName *string `pulumi:"publicEndpointDomainName"`
	// (Output)
	// Name of the service attachment resource. Applicable only if private service connect is enabled and after FeatureViewSync is created.
	ServiceAttachment *string `pulumi:"serviceAttachment"`
}

type AiFeatureOnlineStoreDedicatedServingEndpointArgs 

type AiFeatureOnlineStoreDedicatedServingEndpointArgs struct {
	// Private service connect config.
	// Structure is documented below.
	PrivateServiceConnectConfig AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrInput `pulumi:"privateServiceConnectConfig"`
	// (Output)
	// Domain name to use for this FeatureOnlineStore
	PublicEndpointDomainName pulumi.StringPtrInput `pulumi:"publicEndpointDomainName"`
	// (Output)
	// Name of the service attachment resource. Applicable only if private service connect is enabled and after FeatureViewSync is created.
	ServiceAttachment pulumi.StringPtrInput `pulumi:"serviceAttachment"`
}

func (AiFeatureOnlineStoreDedicatedServingEndpointArgs) ElementType 

func (AiFeatureOnlineStoreDedicatedServingEndpointArgs) ElementType() reflect.Type

func (AiFeatureOnlineStoreDedicatedServingEndpointArgs) ToAiFeatureOnlineStoreDedicatedServingEndpointOutput 

func (i AiFeatureOnlineStoreDedicatedServingEndpointArgs) ToAiFeatureOnlineStoreDedicatedServingEndpointOutput() AiFeatureOnlineStoreDedicatedServingEndpointOutput

func (AiFeatureOnlineStoreDedicatedServingEndpointArgs) ToAiFeatureOnlineStoreDedicatedServingEndpointOutputWithContext 

func (i AiFeatureOnlineStoreDedicatedServingEndpointArgs) ToAiFeatureOnlineStoreDedicatedServingEndpointOutputWithContext(ctx context.Context) AiFeatureOnlineStoreDedicatedServingEndpointOutput

func (AiFeatureOnlineStoreDedicatedServingEndpointArgs) ToAiFeatureOnlineStoreDedicatedServingEndpointPtrOutput 

func (i AiFeatureOnlineStoreDedicatedServingEndpointArgs) ToAiFeatureOnlineStoreDedicatedServingEndpointPtrOutput() AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput

func (AiFeatureOnlineStoreDedicatedServingEndpointArgs) ToAiFeatureOnlineStoreDedicatedServingEndpointPtrOutputWithContext 

func (i AiFeatureOnlineStoreDedicatedServingEndpointArgs) ToAiFeatureOnlineStoreDedicatedServingEndpointPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput

type AiFeatureOnlineStoreDedicatedServingEndpointInput 

type AiFeatureOnlineStoreDedicatedServingEndpointInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreDedicatedServingEndpointOutput() AiFeatureOnlineStoreDedicatedServingEndpointOutput
	ToAiFeatureOnlineStoreDedicatedServingEndpointOutputWithContext(context.Context) AiFeatureOnlineStoreDedicatedServingEndpointOutput
}

AiFeatureOnlineStoreDedicatedServingEndpointInput is an input type that accepts AiFeatureOnlineStoreDedicatedServingEndpointArgs and AiFeatureOnlineStoreDedicatedServingEndpointOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreDedicatedServingEndpointInput` via: 

AiFeatureOnlineStoreDedicatedServingEndpointArgs{...}

type AiFeatureOnlineStoreDedicatedServingEndpointOutput 

type AiFeatureOnlineStoreDedicatedServingEndpointOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreDedicatedServingEndpointOutput) ElementType 

func (AiFeatureOnlineStoreDedicatedServingEndpointOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreDedicatedServingEndpointOutput) PrivateServiceConnectConfig 

func (o AiFeatureOnlineStoreDedicatedServingEndpointOutput) PrivateServiceConnectConfig() AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput

Private service connect config. Structure is documented below.

func (AiFeatureOnlineStoreDedicatedServingEndpointOutput) PublicEndpointDomainName 

func (o AiFeatureOnlineStoreDedicatedServingEndpointOutput) PublicEndpointDomainName() pulumi.StringPtrOutput

(Output) Domain name to use for this FeatureOnlineStore

func (AiFeatureOnlineStoreDedicatedServingEndpointOutput) ServiceAttachment 

func (o AiFeatureOnlineStoreDedicatedServingEndpointOutput) ServiceAttachment() pulumi.StringPtrOutput

(Output) Name of the service attachment resource. Applicable only if private service connect is enabled and after FeatureViewSync is created.

func (AiFeatureOnlineStoreDedicatedServingEndpointOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointOutput 

func (o AiFeatureOnlineStoreDedicatedServingEndpointOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointOutput() AiFeatureOnlineStoreDedicatedServingEndpointOutput

func (AiFeatureOnlineStoreDedicatedServingEndpointOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointOutputWithContext 

func (o AiFeatureOnlineStoreDedicatedServingEndpointOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointOutputWithContext(ctx context.Context) AiFeatureOnlineStoreDedicatedServingEndpointOutput

func (AiFeatureOnlineStoreDedicatedServingEndpointOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPtrOutput 

func (o AiFeatureOnlineStoreDedicatedServingEndpointOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPtrOutput() AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput

func (AiFeatureOnlineStoreDedicatedServingEndpointOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPtrOutputWithContext 

func (o AiFeatureOnlineStoreDedicatedServingEndpointOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput

type AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfig 

type AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfig struct {
	// If set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.
	EnablePrivateServiceConnect bool `pulumi:"enablePrivateServiceConnect"`
	// A list of Projects from which the forwarding rule will target the service attachment.
	ProjectAllowlists []string `pulumi:"projectAllowlists"`
}

type AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs 

type AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs struct {
	// If set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.
	EnablePrivateServiceConnect pulumi.BoolInput `pulumi:"enablePrivateServiceConnect"`
	// A list of Projects from which the forwarding rule will target the service attachment.
	ProjectAllowlists pulumi.StringArrayInput `pulumi:"projectAllowlists"`
}

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs) ElementType 

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs) ElementType() reflect.Type

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput 

func (i AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput() AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutputWithContext 

func (i AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutputWithContext(ctx context.Context) AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput 

func (i AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput() AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutputWithContext 

func (i AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput

type AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigInput 

type AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput() AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput
	ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutputWithContext(context.Context) AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput
}

AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigInput is an input type that accepts AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs and AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigInput` via: 

AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs{...}

type AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput 

type AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput) ElementType 

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput) EnablePrivateServiceConnect 

func (o AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput) EnablePrivateServiceConnect() pulumi.BoolOutput

If set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput) ProjectAllowlists 

func (o AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput) ProjectAllowlists() pulumi.StringArrayOutput

A list of Projects from which the forwarding rule will target the service attachment.

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput 

func (o AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput() AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutputWithContext 

func (o AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutputWithContext(ctx context.Context) AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput 

func (o AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput() AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutputWithContext 

func (o AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput

type AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrInput 

type AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput() AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput
	ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutputWithContext(context.Context) AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput
}

AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrInput is an input type that accepts AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs, AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtr and AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrInput` via: 

        AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs{...}

or:

        nil

func AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtr 

func AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtr(v *AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs) AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrInput

type AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput 

type AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput) Elem 

func (o AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput) Elem() AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigOutput

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput) ElementType 

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput) EnablePrivateServiceConnect 

func (o AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput) EnablePrivateServiceConnect() pulumi.BoolPtrOutput

If set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput) ProjectAllowlists 

func (o AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput) ProjectAllowlists() pulumi.StringArrayOutput

A list of Projects from which the forwarding rule will target the service attachment.

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput 

func (o AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput() AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput

func (AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutputWithContext 

func (o AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput

type AiFeatureOnlineStoreDedicatedServingEndpointPtrInput 

type AiFeatureOnlineStoreDedicatedServingEndpointPtrInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreDedicatedServingEndpointPtrOutput() AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput
	ToAiFeatureOnlineStoreDedicatedServingEndpointPtrOutputWithContext(context.Context) AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput
}

AiFeatureOnlineStoreDedicatedServingEndpointPtrInput is an input type that accepts AiFeatureOnlineStoreDedicatedServingEndpointArgs, AiFeatureOnlineStoreDedicatedServingEndpointPtr and AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreDedicatedServingEndpointPtrInput` via: 

        AiFeatureOnlineStoreDedicatedServingEndpointArgs{...}

or:

        nil

func AiFeatureOnlineStoreDedicatedServingEndpointPtr 

func AiFeatureOnlineStoreDedicatedServingEndpointPtr(v *AiFeatureOnlineStoreDedicatedServingEndpointArgs) AiFeatureOnlineStoreDedicatedServingEndpointPtrInput

type AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput 

type AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput) Elem 

func (o AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput) Elem() AiFeatureOnlineStoreDedicatedServingEndpointOutput

func (AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput) ElementType 

func (AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput) PrivateServiceConnectConfig 

func (o AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput) PrivateServiceConnectConfig() AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigPtrOutput

Private service connect config. Structure is documented below.

func (AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput) PublicEndpointDomainName 

func (o AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput) PublicEndpointDomainName() pulumi.StringPtrOutput

(Output) Domain name to use for this FeatureOnlineStore

func (AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput) ServiceAttachment 

func (o AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput) ServiceAttachment() pulumi.StringPtrOutput

(Output) Name of the service attachment resource. Applicable only if private service connect is enabled and after FeatureViewSync is created.

func (AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPtrOutput 

func (o AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPtrOutput() AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput

func (AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPtrOutputWithContext 

func (o AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput) ToAiFeatureOnlineStoreDedicatedServingEndpointPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreDedicatedServingEndpointPtrOutput

type AiFeatureOnlineStoreEmbeddingManagement 

type AiFeatureOnlineStoreEmbeddingManagement struct {
	// Enable embedding management.
	Enabled *bool `pulumi:"enabled"`
}

type AiFeatureOnlineStoreEmbeddingManagementArgs 

type AiFeatureOnlineStoreEmbeddingManagementArgs struct {
	// Enable embedding management.
	Enabled pulumi.BoolPtrInput `pulumi:"enabled"`
}

func (AiFeatureOnlineStoreEmbeddingManagementArgs) ElementType 

func (AiFeatureOnlineStoreEmbeddingManagementArgs) ElementType() reflect.Type

func (AiFeatureOnlineStoreEmbeddingManagementArgs) ToAiFeatureOnlineStoreEmbeddingManagementOutput 

func (i AiFeatureOnlineStoreEmbeddingManagementArgs) ToAiFeatureOnlineStoreEmbeddingManagementOutput() AiFeatureOnlineStoreEmbeddingManagementOutput

func (AiFeatureOnlineStoreEmbeddingManagementArgs) ToAiFeatureOnlineStoreEmbeddingManagementOutputWithContext 

func (i AiFeatureOnlineStoreEmbeddingManagementArgs) ToAiFeatureOnlineStoreEmbeddingManagementOutputWithContext(ctx context.Context) AiFeatureOnlineStoreEmbeddingManagementOutput

func (AiFeatureOnlineStoreEmbeddingManagementArgs) ToAiFeatureOnlineStoreEmbeddingManagementPtrOutput 

func (i AiFeatureOnlineStoreEmbeddingManagementArgs) ToAiFeatureOnlineStoreEmbeddingManagementPtrOutput() AiFeatureOnlineStoreEmbeddingManagementPtrOutput

func (AiFeatureOnlineStoreEmbeddingManagementArgs) ToAiFeatureOnlineStoreEmbeddingManagementPtrOutputWithContext 

func (i AiFeatureOnlineStoreEmbeddingManagementArgs) ToAiFeatureOnlineStoreEmbeddingManagementPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreEmbeddingManagementPtrOutput

type AiFeatureOnlineStoreEmbeddingManagementInput 

type AiFeatureOnlineStoreEmbeddingManagementInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreEmbeddingManagementOutput() AiFeatureOnlineStoreEmbeddingManagementOutput
	ToAiFeatureOnlineStoreEmbeddingManagementOutputWithContext(context.Context) AiFeatureOnlineStoreEmbeddingManagementOutput
}

AiFeatureOnlineStoreEmbeddingManagementInput is an input type that accepts AiFeatureOnlineStoreEmbeddingManagementArgs and AiFeatureOnlineStoreEmbeddingManagementOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreEmbeddingManagementInput` via: 

AiFeatureOnlineStoreEmbeddingManagementArgs{...}

type AiFeatureOnlineStoreEmbeddingManagementOutput 

type AiFeatureOnlineStoreEmbeddingManagementOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreEmbeddingManagementOutput) ElementType 

func (AiFeatureOnlineStoreEmbeddingManagementOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreEmbeddingManagementOutput) Enabled 

func (o AiFeatureOnlineStoreEmbeddingManagementOutput) Enabled() pulumi.BoolPtrOutput

Enable embedding management.

func (AiFeatureOnlineStoreEmbeddingManagementOutput) ToAiFeatureOnlineStoreEmbeddingManagementOutput 

func (o AiFeatureOnlineStoreEmbeddingManagementOutput) ToAiFeatureOnlineStoreEmbeddingManagementOutput() AiFeatureOnlineStoreEmbeddingManagementOutput

func (AiFeatureOnlineStoreEmbeddingManagementOutput) ToAiFeatureOnlineStoreEmbeddingManagementOutputWithContext 

func (o AiFeatureOnlineStoreEmbeddingManagementOutput) ToAiFeatureOnlineStoreEmbeddingManagementOutputWithContext(ctx context.Context) AiFeatureOnlineStoreEmbeddingManagementOutput

func (AiFeatureOnlineStoreEmbeddingManagementOutput) ToAiFeatureOnlineStoreEmbeddingManagementPtrOutput 

func (o AiFeatureOnlineStoreEmbeddingManagementOutput) ToAiFeatureOnlineStoreEmbeddingManagementPtrOutput() AiFeatureOnlineStoreEmbeddingManagementPtrOutput

func (AiFeatureOnlineStoreEmbeddingManagementOutput) ToAiFeatureOnlineStoreEmbeddingManagementPtrOutputWithContext 

func (o AiFeatureOnlineStoreEmbeddingManagementOutput) ToAiFeatureOnlineStoreEmbeddingManagementPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreEmbeddingManagementPtrOutput

type AiFeatureOnlineStoreEmbeddingManagementPtrInput 

type AiFeatureOnlineStoreEmbeddingManagementPtrInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreEmbeddingManagementPtrOutput() AiFeatureOnlineStoreEmbeddingManagementPtrOutput
	ToAiFeatureOnlineStoreEmbeddingManagementPtrOutputWithContext(context.Context) AiFeatureOnlineStoreEmbeddingManagementPtrOutput
}

AiFeatureOnlineStoreEmbeddingManagementPtrInput is an input type that accepts AiFeatureOnlineStoreEmbeddingManagementArgs, AiFeatureOnlineStoreEmbeddingManagementPtr and AiFeatureOnlineStoreEmbeddingManagementPtrOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreEmbeddingManagementPtrInput` via: 

        AiFeatureOnlineStoreEmbeddingManagementArgs{...}

or:

        nil

func AiFeatureOnlineStoreEmbeddingManagementPtr 

func AiFeatureOnlineStoreEmbeddingManagementPtr(v *AiFeatureOnlineStoreEmbeddingManagementArgs) AiFeatureOnlineStoreEmbeddingManagementPtrInput

type AiFeatureOnlineStoreEmbeddingManagementPtrOutput 

type AiFeatureOnlineStoreEmbeddingManagementPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreEmbeddingManagementPtrOutput) Elem 

func (o AiFeatureOnlineStoreEmbeddingManagementPtrOutput) Elem() AiFeatureOnlineStoreEmbeddingManagementOutput

func (AiFeatureOnlineStoreEmbeddingManagementPtrOutput) ElementType 

func (AiFeatureOnlineStoreEmbeddingManagementPtrOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreEmbeddingManagementPtrOutput) Enabled 

func (o AiFeatureOnlineStoreEmbeddingManagementPtrOutput) Enabled() pulumi.BoolPtrOutput

Enable embedding management.

func (AiFeatureOnlineStoreEmbeddingManagementPtrOutput) ToAiFeatureOnlineStoreEmbeddingManagementPtrOutput 

func (o AiFeatureOnlineStoreEmbeddingManagementPtrOutput) ToAiFeatureOnlineStoreEmbeddingManagementPtrOutput() AiFeatureOnlineStoreEmbeddingManagementPtrOutput

func (AiFeatureOnlineStoreEmbeddingManagementPtrOutput) ToAiFeatureOnlineStoreEmbeddingManagementPtrOutputWithContext 

func (o AiFeatureOnlineStoreEmbeddingManagementPtrOutput) ToAiFeatureOnlineStoreEmbeddingManagementPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreEmbeddingManagementPtrOutput

type AiFeatureOnlineStoreFeatureview 

type AiFeatureOnlineStoreFeatureview struct {
	pulumi.CustomResourceState

	// Configures how data is supposed to be extracted from a BigQuery source to be loaded onto the FeatureOnlineStore.
	// Structure is documented below.
	BigQuerySource AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput `pulumi:"bigQuerySource"`
	// The timestamp of when the featureOnlinestore was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringOutput `pulumi:"createTime"`
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapOutput `pulumi:"effectiveLabels"`
	// The name of the FeatureOnlineStore to use for the featureview.
	FeatureOnlineStore pulumi.StringOutput `pulumi:"featureOnlineStore"`
	// Configures the features from a Feature Registry source that need to be loaded onto the FeatureOnlineStore.
	// Structure is documented below.
	FeatureRegistrySource AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput `pulumi:"featureRegistrySource"`
	// A set of key/value label pairs to assign to this FeatureView.
	//
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapOutput `pulumi:"labels"`
	// Name of the FeatureView. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.
	Name pulumi.StringOutput `pulumi:"name"`
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringOutput `pulumi:"project"`
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapOutput `pulumi:"pulumiLabels"`
	// The region for the resource. It should be the same as the featureonlinestore region.
	//
	// ***
	Region pulumi.StringOutput `pulumi:"region"`
	// Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.
	// Structure is documented below.
	SyncConfig AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput `pulumi:"syncConfig"`
	// The timestamp of when the featureOnlinestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringOutput `pulumi:"updateTime"`
	// Configuration for vector search. It contains the required configurations to create an index from source data, so that approximate nearest neighbor (a.k.a ANN) algorithms search can be performed during online serving.
	// Structure is documented below.
	VectorSearchConfig AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput `pulumi:"vectorSearchConfig"`
}

FeatureView is representation of values that the FeatureOnlineStore will serve based on its syncConfig.

To get more information about FeatureOnlineStoreFeatureview, see:

* [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featureOnlineStores.featureViews) * How-to Guides

## Example Usage

### Vertex Ai Featureonlinestore Featureview

```go package main

import ( 

"fmt"

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/bigquery"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/organizations"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		featureonlinestore, err := vertex.NewAiFeatureOnlineStore(ctx, "featureonlinestore", &vertex.AiFeatureOnlineStoreArgs{
			Name: pulumi.String("example_feature_view"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			Bigtable: &vertex.AiFeatureOnlineStoreBigtableArgs{
				AutoScaling: &vertex.AiFeatureOnlineStoreBigtableAutoScalingArgs{
					MinNodeCount:         pulumi.Int(1),
					MaxNodeCount:         pulumi.Int(2),
					CpuUtilizationTarget: pulumi.Int(80),
				},
			},
		})
		if err != nil {
			return err
		}
		_, err = bigquery.NewDataset(ctx, "tf-test-dataset", &bigquery.DatasetArgs{
			DatasetId:    pulumi.String("example_feature_view"),
			FriendlyName: pulumi.String("test"),
			Description:  pulumi.String("This is a test description"),
			Location:     pulumi.String("US"),
		})
		if err != nil {
			return err
		}
		_, err = bigquery.NewTable(ctx, "tf-test-table", &bigquery.TableArgs{
			DeletionProtection: pulumi.Bool(false),
			DatasetId:          tf_test_dataset.DatasetId,
			TableId:            pulumi.String("example_feature_view"),
			Schema: pulumi.String(`  [
  {
    "name": "entity_id",
    "mode": "NULLABLE",
    "type": "STRING",
    "description": "Test default entity_id"
  },
    {
    "name": "test_entity_column",
    "mode": "NULLABLE",
    "type": "STRING",
    "description": "test secondary entity column"
  },
  {
    "name": "feature_timestamp",
    "mode": "NULLABLE",
    "type": "TIMESTAMP",
    "description": "Default timestamp value"
  }

] `), 

		})
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureOnlineStoreFeatureview(ctx, "featureview", &vertex.AiFeatureOnlineStoreFeatureviewArgs{
			Name:               pulumi.String("example_feature_view"),
			Region:             pulumi.String("us-central1"),
			FeatureOnlineStore: featureonlinestore.Name,
			SyncConfig: &vertex.AiFeatureOnlineStoreFeatureviewSyncConfigArgs{
				Cron: pulumi.String("0 0 * * *"),
			},
			BigQuerySource: &vertex.AiFeatureOnlineStoreFeatureviewBigQuerySourceArgs{
				Uri: pulumi.All(tf_test_table.Project, tf_test_table.DatasetId, tf_test_table.TableId).ApplyT(func(_args []interface{}) (string, error) {
					project := _args[0].(string)
					datasetId := _args[1].(string)
					tableId := _args[2].(string)
					return fmt.Sprintf("bq://%v.%v.%v", project, datasetId, tableId), nil
				}).(pulumi.StringOutput),
				EntityIdColumns: pulumi.StringArray{
					pulumi.String("test_entity_column"),
				},
			},
		})
		if err != nil {
			return err
		}
		_, err = organizations.LookupProject(ctx, &organizations.LookupProjectArgs{}, nil)
		if err != nil {
			return err
		}
		return nil
	})
}

``` ### Vertex Ai Featureonlinestore Featureview Feature Registry

```go package main

import ( 

"fmt"

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/bigquery"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		featureonlinestore, err := vertex.NewAiFeatureOnlineStore(ctx, "featureonlinestore", &vertex.AiFeatureOnlineStoreArgs{
			Name: pulumi.String("example_feature_view_feature_registry"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			Bigtable: &vertex.AiFeatureOnlineStoreBigtableArgs{
				AutoScaling: &vertex.AiFeatureOnlineStoreBigtableAutoScalingArgs{
					MinNodeCount:         pulumi.Int(1),
					MaxNodeCount:         pulumi.Int(2),
					CpuUtilizationTarget: pulumi.Int(80),
				},
			},
		})
		if err != nil {
			return err
		}
		sampleDataset, err := bigquery.NewDataset(ctx, "sample_dataset", &bigquery.DatasetArgs{
			DatasetId:    pulumi.String("example_feature_view_feature_registry"),
			FriendlyName: pulumi.String("test"),
			Description:  pulumi.String("This is a test description"),
			Location:     pulumi.String("US"),
		})
		if err != nil {
			return err
		}
		sampleTable, err := bigquery.NewTable(ctx, "sample_table", &bigquery.TableArgs{
			DeletionProtection: pulumi.Bool(false),
			DatasetId:          sampleDataset.DatasetId,
			TableId:            pulumi.String("example_feature_view_feature_registry"),
			Schema: pulumi.String(`[
    {
        "name": "feature_id",
        "type": "STRING",
        "mode": "NULLABLE"
    },
    {
        "name": "example_feature_view_feature_registry",
        "type": "STRING",
        "mode": "NULLABLE"
    },
    {
        "name": "feature_timestamp",
        "type": "TIMESTAMP",
        "mode": "NULLABLE"
    }

] `), 

		})
		if err != nil {
			return err
		}
		sampleFeatureGroup, err := vertex.NewAiFeatureGroup(ctx, "sample_feature_group", &vertex.AiFeatureGroupArgs{
			Name:        pulumi.String("example_feature_view_feature_registry"),
			Description: pulumi.String("A sample feature group"),
			Region:      pulumi.String("us-central1"),
			Labels: pulumi.StringMap{
				"label-one": pulumi.String("value-one"),
			},
			BigQuery: &vertex.AiFeatureGroupBigQueryArgs{
				BigQuerySource: &vertex.AiFeatureGroupBigQueryBigQuerySourceArgs{
					InputUri: pulumi.All(sampleTable.Project, sampleTable.DatasetId, sampleTable.TableId).ApplyT(func(_args []interface{}) (string, error) {
						project := _args[0].(string)
						datasetId := _args[1].(string)
						tableId := _args[2].(string)
						return fmt.Sprintf("bq://%v.%v.%v", project, datasetId, tableId), nil
					}).(pulumi.StringOutput),
				},
				EntityIdColumns: pulumi.StringArray{
					pulumi.String("feature_id"),
				},
			},
		})
		if err != nil {
			return err
		}
		sampleFeature, err := vertex.NewAiFeatureGroupFeature(ctx, "sample_feature", &vertex.AiFeatureGroupFeatureArgs{
			Name:         pulumi.String("example_feature_view_feature_registry"),
			Region:       pulumi.String("us-central1"),
			FeatureGroup: sampleFeatureGroup.Name,
			Description:  pulumi.String("A sample feature"),
			Labels: pulumi.StringMap{
				"label-one": pulumi.String("value-one"),
			},
		})
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureOnlineStoreFeatureview(ctx, "featureview_featureregistry", &vertex.AiFeatureOnlineStoreFeatureviewArgs{
			Name:               pulumi.String("example_feature_view_feature_registry"),
			Region:             pulumi.String("us-central1"),
			FeatureOnlineStore: featureonlinestore.Name,
			SyncConfig: &vertex.AiFeatureOnlineStoreFeatureviewSyncConfigArgs{
				Cron: pulumi.String("0 0 * * *"),
			},
			FeatureRegistrySource: &vertex.AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceArgs{
				FeatureGroups: vertex.AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArray{
					&vertex.AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArgs{
						FeatureGroupId: sampleFeatureGroup.Name,
						FeatureIds: pulumi.StringArray{
							sampleFeature.Name,
						},
					},
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

``` ### Vertex Ai Featureonlinestore Featureview Cross Project

```go package main

import ( 

"fmt"

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/bigquery"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/organizations"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/projects"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi-time/sdk/go/time"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		testProject, err := organizations.LookupProject(ctx, &organizations.LookupProjectArgs{}, nil)
		if err != nil {
			return err
		}
		project, err := organizations.NewProject(ctx, "project", &organizations.ProjectArgs{
			ProjectId:      pulumi.String("tf-test_9394"),
			Name:           pulumi.String("tf-test_11380"),
			OrgId:          pulumi.String("123456789"),
			BillingAccount: pulumi.String("000000-0000000-0000000-000000"),
			DeletionPolicy: pulumi.String("DELETE"),
		})
		if err != nil {
			return err
		}
		wait60Seconds, err := time.NewSleep(ctx, "wait_60_seconds", &time.SleepArgs{
			CreateDuration: "60s",
		}, pulumi.DependsOn([]pulumi.Resource{
			project,
		}))
		if err != nil {
			return err
		}
		vertexai, err := projects.NewService(ctx, "vertexai", &projects.ServiceArgs{
			Service:          pulumi.String("aiplatform.googleapis.com"),
			Project:          project.ProjectId,
			DisableOnDestroy: pulumi.Bool(false),
		}, pulumi.DependsOn([]pulumi.Resource{
			wait60Seconds,
		}))
		if err != nil {
			return err
		}
		featureonlinestore, err := vertex.NewAiFeatureOnlineStore(ctx, "featureonlinestore", &vertex.AiFeatureOnlineStoreArgs{
			Name:    pulumi.String("example_cross_project_featureview"),
			Project: project.ProjectId,
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			Bigtable: &vertex.AiFeatureOnlineStoreBigtableArgs{
				AutoScaling: &vertex.AiFeatureOnlineStoreBigtableAutoScalingArgs{
					MinNodeCount:         pulumi.Int(1),
					MaxNodeCount:         pulumi.Int(2),
					CpuUtilizationTarget: pulumi.Int(80),
				},
			},
		}, pulumi.DependsOn([]pulumi.Resource{
			vertexai,
		}))
		if err != nil {
			return err
		}
		sampleDataset, err := bigquery.NewDataset(ctx, "sample_dataset", &bigquery.DatasetArgs{
			DatasetId:    pulumi.String("example_cross_project_featureview"),
			FriendlyName: pulumi.String("test"),
			Description:  pulumi.String("This is a test description"),
			Location:     pulumi.String("US"),
		})
		if err != nil {
			return err
		}
		viewer, err := bigquery.NewDatasetIamMember(ctx, "viewer", &bigquery.DatasetIamMemberArgs{
			Project:   pulumi.String(testProject.ProjectId),
			DatasetId: sampleDataset.DatasetId,
			Role:      pulumi.String("roles/bigquery.dataViewer"),
			Member: project.Number.ApplyT(func(number string) (string, error) {
				return fmt.Sprintf("serviceAccount:service-%v@gcp-sa-aiplatform.iam.gserviceaccount.com", number), nil
			}).(pulumi.StringOutput),
		}, pulumi.DependsOn([]pulumi.Resource{
			featureonlinestore,
		}))
		if err != nil {
			return err
		}
		wait30Seconds, err := time.NewSleep(ctx, "wait_30_seconds", &time.SleepArgs{
			CreateDuration: "30s",
		}, pulumi.DependsOn([]pulumi.Resource{
			viewer,
		}))
		if err != nil {
			return err
		}
		sampleTable, err := bigquery.NewTable(ctx, "sample_table", &bigquery.TableArgs{
			DeletionProtection: pulumi.Bool(false),
			DatasetId:          sampleDataset.DatasetId,
			TableId:            pulumi.String("example_cross_project_featureview"),
			Schema: pulumi.String(`[
    {
        "name": "feature_id",
        "type": "STRING",
        "mode": "NULLABLE"
    },
    {
        "name": "example_cross_project_featureview",
        "type": "STRING",
        "mode": "NULLABLE"
    },
    {
        "name": "feature_timestamp",
        "type": "TIMESTAMP",
        "mode": "NULLABLE"
    }

] `), 

		})
		if err != nil {
			return err
		}
		sampleFeatureGroup, err := vertex.NewAiFeatureGroup(ctx, "sample_feature_group", &vertex.AiFeatureGroupArgs{
			Name:        pulumi.String("example_cross_project_featureview"),
			Description: pulumi.String("A sample feature group"),
			Region:      pulumi.String("us-central1"),
			Labels: pulumi.StringMap{
				"label-one": pulumi.String("value-one"),
			},
			BigQuery: &vertex.AiFeatureGroupBigQueryArgs{
				BigQuerySource: &vertex.AiFeatureGroupBigQueryBigQuerySourceArgs{
					InputUri: pulumi.All(sampleTable.Project, sampleTable.DatasetId, sampleTable.TableId).ApplyT(func(_args []interface{}) (string, error) {
						project := _args[0].(string)
						datasetId := _args[1].(string)
						tableId := _args[2].(string)
						return fmt.Sprintf("bq://%v.%v.%v", project, datasetId, tableId), nil
					}).(pulumi.StringOutput),
				},
				EntityIdColumns: pulumi.StringArray{
					pulumi.String("feature_id"),
				},
			},
		})
		if err != nil {
			return err
		}
		sampleFeature, err := vertex.NewAiFeatureGroupFeature(ctx, "sample_feature", &vertex.AiFeatureGroupFeatureArgs{
			Name:         pulumi.String("example_cross_project_featureview"),
			Region:       pulumi.String("us-central1"),
			FeatureGroup: sampleFeatureGroup.Name,
			Description:  pulumi.String("A sample feature"),
			Labels: pulumi.StringMap{
				"label-one": pulumi.String("value-one"),
			},
		})
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureOnlineStoreFeatureview(ctx, "cross_project_featureview", &vertex.AiFeatureOnlineStoreFeatureviewArgs{
			Name:               pulumi.String("example_cross_project_featureview"),
			Project:            project.ProjectId,
			Region:             pulumi.String("us-central1"),
			FeatureOnlineStore: featureonlinestore.Name,
			SyncConfig: &vertex.AiFeatureOnlineStoreFeatureviewSyncConfigArgs{
				Cron: pulumi.String("0 0 * * *"),
			},
			FeatureRegistrySource: &vertex.AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceArgs{
				FeatureGroups: vertex.AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArray{
					&vertex.AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArgs{
						FeatureGroupId: sampleFeatureGroup.Name,
						FeatureIds: pulumi.StringArray{
							sampleFeature.Name,
						},
					},
				},
				ProjectNumber: pulumi.String(testProject.Number),
			},
		}, pulumi.DependsOn([]pulumi.Resource{
			vertexai,
			wait30Seconds,
		}))
		if err != nil {
			return err
		}
		return nil
	})
}

``` ### Vertex Ai Featureonlinestore Featureview With Vector Search

```go package main

import ( 

"fmt"

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/bigquery"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/organizations"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		featureonlinestore, err := vertex.NewAiFeatureOnlineStore(ctx, "featureonlinestore", &vertex.AiFeatureOnlineStoreArgs{
			Name: pulumi.String("example_feature_view_vector_search"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			Bigtable: &vertex.AiFeatureOnlineStoreBigtableArgs{
				AutoScaling: &vertex.AiFeatureOnlineStoreBigtableAutoScalingArgs{
					MinNodeCount:         pulumi.Int(1),
					MaxNodeCount:         pulumi.Int(2),
					CpuUtilizationTarget: pulumi.Int(80),
				},
			},
			EmbeddingManagement: &vertex.AiFeatureOnlineStoreEmbeddingManagementArgs{
				Enabled: pulumi.Bool(true),
			},
		})
		if err != nil {
			return err
		}
		_, err = bigquery.NewDataset(ctx, "tf-test-dataset", &bigquery.DatasetArgs{
			DatasetId:    pulumi.String("example_feature_view_vector_search"),
			FriendlyName: pulumi.String("test"),
			Description:  pulumi.String("This is a test description"),
			Location:     pulumi.String("US"),
		})
		if err != nil {
			return err
		}
		_, err = bigquery.NewTable(ctx, "tf-test-table", &bigquery.TableArgs{
			DeletionProtection: pulumi.Bool(false),
			DatasetId:          tf_test_dataset.DatasetId,
			TableId:            pulumi.String("example_feature_view_vector_search"),
			Schema: pulumi.String(`[

{
  "name": "test_primary_id",
  "mode": "NULLABLE",
  "type": "STRING",
  "description": "primary test id"
},

{
  "name": "embedding",
  "mode": "REPEATED",
  "type": "FLOAT",
  "description": "embedding column for primary_id column"
},

{
  "name": "country",
  "mode": "NULLABLE",
  "type": "STRING",
  "description": "country"
},

{
  "name": "test_crowding_column",
  "mode": "NULLABLE",
  "type": "INTEGER",
  "description": "test crowding column"
},

{
  "name": "entity_id",
  "mode": "NULLABLE",
  "type": "STRING",
  "description": "Test default entity_id"
},

{
  "name": "test_entity_column",
  "mode": "NULLABLE",
  "type": "STRING",
  "description": "test secondary entity column"
},

{
  "name": "feature_timestamp",
  "mode": "NULLABLE",
  "type": "TIMESTAMP",
  "description": "Default timestamp value"
}

] `), 

		})
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureOnlineStoreFeatureview(ctx, "featureview_vector_search", &vertex.AiFeatureOnlineStoreFeatureviewArgs{
			Name:               pulumi.String("example_feature_view_vector_search"),
			Region:             pulumi.String("us-central1"),
			FeatureOnlineStore: featureonlinestore.Name,
			SyncConfig: &vertex.AiFeatureOnlineStoreFeatureviewSyncConfigArgs{
				Cron: pulumi.String("0 0 * * *"),
			},
			BigQuerySource: &vertex.AiFeatureOnlineStoreFeatureviewBigQuerySourceArgs{
				Uri: pulumi.All(tf_test_table.Project, tf_test_table.DatasetId, tf_test_table.TableId).ApplyT(func(_args []interface{}) (string, error) {
					project := _args[0].(string)
					datasetId := _args[1].(string)
					tableId := _args[2].(string)
					return fmt.Sprintf("bq://%v.%v.%v", project, datasetId, tableId), nil
				}).(pulumi.StringOutput),
				EntityIdColumns: pulumi.StringArray{
					pulumi.String("test_entity_column"),
				},
			},
			VectorSearchConfig: &vertex.AiFeatureOnlineStoreFeatureviewVectorSearchConfigArgs{
				EmbeddingColumn: pulumi.String("embedding"),
				FilterColumns: pulumi.StringArray{
					pulumi.String("country"),
				},
				CrowdingColumn:      pulumi.String("test_crowding_column"),
				DistanceMeasureType: pulumi.String("DOT_PRODUCT_DISTANCE"),
				TreeAhConfig: &vertex.AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigArgs{
					LeafNodeEmbeddingCount: pulumi.String("1000"),
				},
				EmbeddingDimension: pulumi.Int(2),
			},
		})
		if err != nil {
			return err
		}
		_, err = organizations.LookupProject(ctx, &organizations.LookupProjectArgs{}, nil)
		if err != nil {
			return err
		}
		return nil
	})
}

```

## Import

FeatureOnlineStoreFeatureview can be imported using any of these accepted formats:

* `projects/{{project}}/locations/{{region}}/featureOnlineStores/{{feature_online_store}}/featureViews/{{name}}`

* `{{project}}/{{region}}/{{feature_online_store}}/{{name}}`

* `{{region}}/{{feature_online_store}}/{{name}}`

* `{{feature_online_store}}/{{name}}`

When using the `pulumi import` command, FeatureOnlineStoreFeatureview can be imported using one of the formats above. For example:

```sh $ pulumi import gcp:vertex/aiFeatureOnlineStoreFeatureview:AiFeatureOnlineStoreFeatureview default projects/{{project}}/locations/{{region}}/featureOnlineStores/{{feature_online_store}}/featureViews/{{name}} ```

```sh $ pulumi import gcp:vertex/aiFeatureOnlineStoreFeatureview:AiFeatureOnlineStoreFeatureview default {{project}}/{{region}}/{{feature_online_store}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiFeatureOnlineStoreFeatureview:AiFeatureOnlineStoreFeatureview default {{region}}/{{feature_online_store}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiFeatureOnlineStoreFeatureview:AiFeatureOnlineStoreFeatureview default {{feature_online_store}}/{{name}} ```

func GetAiFeatureOnlineStoreFeatureview 

func GetAiFeatureOnlineStoreFeatureview(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiFeatureOnlineStoreFeatureviewState, opts ...pulumi.ResourceOption) (*AiFeatureOnlineStoreFeatureview, error)

GetAiFeatureOnlineStoreFeatureview gets an existing AiFeatureOnlineStoreFeatureview resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiFeatureOnlineStoreFeatureview 

func NewAiFeatureOnlineStoreFeatureview(ctx *pulumi.Context,
	name string, args *AiFeatureOnlineStoreFeatureviewArgs, opts ...pulumi.ResourceOption) (*AiFeatureOnlineStoreFeatureview, error)

NewAiFeatureOnlineStoreFeatureview registers a new resource with the given unique name, arguments, and options.

func (*AiFeatureOnlineStoreFeatureview) ElementType 

func (*AiFeatureOnlineStoreFeatureview) ElementType() reflect.Type

func (*AiFeatureOnlineStoreFeatureview) ToAiFeatureOnlineStoreFeatureviewOutput 

func (i *AiFeatureOnlineStoreFeatureview) ToAiFeatureOnlineStoreFeatureviewOutput() AiFeatureOnlineStoreFeatureviewOutput

func (*AiFeatureOnlineStoreFeatureview) ToAiFeatureOnlineStoreFeatureviewOutputWithContext 

func (i *AiFeatureOnlineStoreFeatureview) ToAiFeatureOnlineStoreFeatureviewOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewOutput

type AiFeatureOnlineStoreFeatureviewArgs 

type AiFeatureOnlineStoreFeatureviewArgs struct {
	// Configures how data is supposed to be extracted from a BigQuery source to be loaded onto the FeatureOnlineStore.
	// Structure is documented below.
	BigQuerySource AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrInput
	// The name of the FeatureOnlineStore to use for the featureview.
	FeatureOnlineStore pulumi.StringInput
	// Configures the features from a Feature Registry source that need to be loaded onto the FeatureOnlineStore.
	// Structure is documented below.
	FeatureRegistrySource AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrInput
	// A set of key/value label pairs to assign to this FeatureView.
	//
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// Name of the FeatureView. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.
	Name pulumi.StringPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The region for the resource. It should be the same as the featureonlinestore region.
	//
	// ***
	Region pulumi.StringInput
	// Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.
	// Structure is documented below.
	SyncConfig AiFeatureOnlineStoreFeatureviewSyncConfigPtrInput
	// Configuration for vector search. It contains the required configurations to create an index from source data, so that approximate nearest neighbor (a.k.a ANN) algorithms search can be performed during online serving.
	// Structure is documented below.
	VectorSearchConfig AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrInput
}

The set of arguments for constructing a AiFeatureOnlineStoreFeatureview resource.

func (AiFeatureOnlineStoreFeatureviewArgs) ElementType 

func (AiFeatureOnlineStoreFeatureviewArgs) ElementType() reflect.Type

type AiFeatureOnlineStoreFeatureviewArray 

type AiFeatureOnlineStoreFeatureviewArray []AiFeatureOnlineStoreFeatureviewInput

func (AiFeatureOnlineStoreFeatureviewArray) ElementType 

func (AiFeatureOnlineStoreFeatureviewArray) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewArray) ToAiFeatureOnlineStoreFeatureviewArrayOutput 

func (i AiFeatureOnlineStoreFeatureviewArray) ToAiFeatureOnlineStoreFeatureviewArrayOutput() AiFeatureOnlineStoreFeatureviewArrayOutput

func (AiFeatureOnlineStoreFeatureviewArray) ToAiFeatureOnlineStoreFeatureviewArrayOutputWithContext 

func (i AiFeatureOnlineStoreFeatureviewArray) ToAiFeatureOnlineStoreFeatureviewArrayOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewArrayOutput

type AiFeatureOnlineStoreFeatureviewArrayInput 

type AiFeatureOnlineStoreFeatureviewArrayInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreFeatureviewArrayOutput() AiFeatureOnlineStoreFeatureviewArrayOutput
	ToAiFeatureOnlineStoreFeatureviewArrayOutputWithContext(context.Context) AiFeatureOnlineStoreFeatureviewArrayOutput
}

AiFeatureOnlineStoreFeatureviewArrayInput is an input type that accepts AiFeatureOnlineStoreFeatureviewArray and AiFeatureOnlineStoreFeatureviewArrayOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreFeatureviewArrayInput` via: 

AiFeatureOnlineStoreFeatureviewArray{ AiFeatureOnlineStoreFeatureviewArgs{...} }

type AiFeatureOnlineStoreFeatureviewArrayOutput 

type AiFeatureOnlineStoreFeatureviewArrayOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreFeatureviewArrayOutput) ElementType 

func (AiFeatureOnlineStoreFeatureviewArrayOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewArrayOutput) Index 

func (o AiFeatureOnlineStoreFeatureviewArrayOutput) Index(i pulumi.IntInput) AiFeatureOnlineStoreFeatureviewOutput

func (AiFeatureOnlineStoreFeatureviewArrayOutput) ToAiFeatureOnlineStoreFeatureviewArrayOutput 

func (o AiFeatureOnlineStoreFeatureviewArrayOutput) ToAiFeatureOnlineStoreFeatureviewArrayOutput() AiFeatureOnlineStoreFeatureviewArrayOutput

func (AiFeatureOnlineStoreFeatureviewArrayOutput) ToAiFeatureOnlineStoreFeatureviewArrayOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewArrayOutput) ToAiFeatureOnlineStoreFeatureviewArrayOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewArrayOutput

type AiFeatureOnlineStoreFeatureviewBigQuerySource 

type AiFeatureOnlineStoreFeatureviewBigQuerySource struct {
	// Columns to construct entityId / row keys. Start by supporting 1 only.
	EntityIdColumns []string `pulumi:"entityIdColumns"`
	// The BigQuery view URI that will be materialized on each sync trigger based on FeatureView.SyncConfig.
	Uri string `pulumi:"uri"`
}

type AiFeatureOnlineStoreFeatureviewBigQuerySourceArgs 

type AiFeatureOnlineStoreFeatureviewBigQuerySourceArgs struct {
	// Columns to construct entityId / row keys. Start by supporting 1 only.
	EntityIdColumns pulumi.StringArrayInput `pulumi:"entityIdColumns"`
	// The BigQuery view URI that will be materialized on each sync trigger based on FeatureView.SyncConfig.
	Uri pulumi.StringInput `pulumi:"uri"`
}

func (AiFeatureOnlineStoreFeatureviewBigQuerySourceArgs) ElementType 

func (AiFeatureOnlineStoreFeatureviewBigQuerySourceArgs) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewBigQuerySourceArgs) ToAiFeatureOnlineStoreFeatureviewBigQuerySourceOutput 

func (i AiFeatureOnlineStoreFeatureviewBigQuerySourceArgs) ToAiFeatureOnlineStoreFeatureviewBigQuerySourceOutput() AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput

func (AiFeatureOnlineStoreFeatureviewBigQuerySourceArgs) ToAiFeatureOnlineStoreFeatureviewBigQuerySourceOutputWithContext 

func (i AiFeatureOnlineStoreFeatureviewBigQuerySourceArgs) ToAiFeatureOnlineStoreFeatureviewBigQuerySourceOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput

func (AiFeatureOnlineStoreFeatureviewBigQuerySourceArgs) ToAiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput 

func (i AiFeatureOnlineStoreFeatureviewBigQuerySourceArgs) ToAiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput() AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput

func (AiFeatureOnlineStoreFeatureviewBigQuerySourceArgs) ToAiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutputWithContext 

func (i AiFeatureOnlineStoreFeatureviewBigQuerySourceArgs) ToAiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput

type AiFeatureOnlineStoreFeatureviewBigQuerySourceInput 

type AiFeatureOnlineStoreFeatureviewBigQuerySourceInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreFeatureviewBigQuerySourceOutput() AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput
	ToAiFeatureOnlineStoreFeatureviewBigQuerySourceOutputWithContext(context.Context) AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput
}

AiFeatureOnlineStoreFeatureviewBigQuerySourceInput is an input type that accepts AiFeatureOnlineStoreFeatureviewBigQuerySourceArgs and AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreFeatureviewBigQuerySourceInput` via: 

AiFeatureOnlineStoreFeatureviewBigQuerySourceArgs{...}

type AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput 

type AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput) ElementType 

func (AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput) EntityIdColumns 

func (o AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput) EntityIdColumns() pulumi.StringArrayOutput

Columns to construct entityId / row keys. Start by supporting 1 only.

func (AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput) ToAiFeatureOnlineStoreFeatureviewBigQuerySourceOutput 

func (o AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput) ToAiFeatureOnlineStoreFeatureviewBigQuerySourceOutput() AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput

func (AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput) ToAiFeatureOnlineStoreFeatureviewBigQuerySourceOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput) ToAiFeatureOnlineStoreFeatureviewBigQuerySourceOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput

func (AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput) ToAiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput 

func (o AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput) ToAiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput() AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput

func (AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput) ToAiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput) ToAiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput

func (AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput) Uri 

func (o AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput) Uri() pulumi.StringOutput

The BigQuery view URI that will be materialized on each sync trigger based on FeatureView.SyncConfig.

type AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrInput 

type AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput() AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput
	ToAiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutputWithContext(context.Context) AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput
}

AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrInput is an input type that accepts AiFeatureOnlineStoreFeatureviewBigQuerySourceArgs, AiFeatureOnlineStoreFeatureviewBigQuerySourcePtr and AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrInput` via: 

        AiFeatureOnlineStoreFeatureviewBigQuerySourceArgs{...}

or:

        nil

func AiFeatureOnlineStoreFeatureviewBigQuerySourcePtr 

func AiFeatureOnlineStoreFeatureviewBigQuerySourcePtr(v *AiFeatureOnlineStoreFeatureviewBigQuerySourceArgs) AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrInput

type AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput 

type AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput) Elem 

func (o AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput) Elem() AiFeatureOnlineStoreFeatureviewBigQuerySourceOutput

func (AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput) ElementType 

func (AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput) EntityIdColumns 

func (o AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput) EntityIdColumns() pulumi.StringArrayOutput

Columns to construct entityId / row keys. Start by supporting 1 only.

func (AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput) ToAiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput 

func (o AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput) ToAiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput() AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput

func (AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput) ToAiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput) ToAiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput

func (AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput) Uri 

func (o AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput) Uri() pulumi.StringPtrOutput

The BigQuery view URI that will be materialized on each sync trigger based on FeatureView.SyncConfig.

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySource 

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySource struct {
	// List of features that need to be synced to Online Store.
	// Structure is documented below.
	FeatureGroups []AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroup `pulumi:"featureGroups"`
	// The project number of the parent project of the feature Groups.
	ProjectNumber *string `pulumi:"projectNumber"`
}

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceArgs 

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceArgs struct {
	// List of features that need to be synced to Online Store.
	// Structure is documented below.
	FeatureGroups AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayInput `pulumi:"featureGroups"`
	// The project number of the parent project of the feature Groups.
	ProjectNumber pulumi.StringPtrInput `pulumi:"projectNumber"`
}

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceArgs) ElementType 

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceArgs) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceArgs) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput 

func (i AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceArgs) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput() AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceArgs) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutputWithContext 

func (i AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceArgs) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceArgs) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput 

func (i AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceArgs) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput() AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceArgs) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutputWithContext 

func (i AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceArgs) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroup 

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroup struct {
	// Identifier of the feature group.
	FeatureGroupId string `pulumi:"featureGroupId"`
	// Identifiers of features under the feature group.
	FeatureIds []string `pulumi:"featureIds"`
}

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArgs 

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArgs struct {
	// Identifier of the feature group.
	FeatureGroupId pulumi.StringInput `pulumi:"featureGroupId"`
	// Identifiers of features under the feature group.
	FeatureIds pulumi.StringArrayInput `pulumi:"featureIds"`
}

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArgs) ElementType 

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArgs) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArgs) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput 

func (i AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArgs) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput() AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArgs) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutputWithContext 

func (i AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArgs) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArray 

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArray []AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupInput

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArray) ElementType 

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArray) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArray) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput 

func (i AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArray) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput() AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArray) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutputWithContext 

func (i AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArray) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayInput 

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput() AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput
	ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutputWithContext(context.Context) AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput
}

AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayInput is an input type that accepts AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArray and AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayInput` via: 

AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArray{ AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArgs{...} }

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput 

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput) ElementType 

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput) Index 

func (o AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput) Index(i pulumi.IntInput) AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput 

func (o AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput() AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupInput 

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput() AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput
	ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutputWithContext(context.Context) AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput
}

AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupInput is an input type that accepts AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArgs and AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupInput` via: 

AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArgs{...}

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput 

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput) ElementType 

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput) FeatureGroupId 

func (o AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput) FeatureGroupId() pulumi.StringOutput

Identifier of the feature group.

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput) FeatureIds 

func (o AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput) FeatureIds() pulumi.StringArrayOutput

Identifiers of features under the feature group.

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput 

func (o AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput() AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupOutput

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceInput 

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput() AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput
	ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutputWithContext(context.Context) AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput
}

AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceInput is an input type that accepts AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceArgs and AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceInput` via: 

AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceArgs{...}

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput 

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput) ElementType 

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput) FeatureGroups 

func (o AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput) FeatureGroups() AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput

List of features that need to be synced to Online Store. Structure is documented below.

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput) ProjectNumber 

func (o AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput) ProjectNumber() pulumi.StringPtrOutput

The project number of the parent project of the feature Groups.

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput 

func (o AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput() AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput 

func (o AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput() AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrInput 

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput() AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput
	ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutputWithContext(context.Context) AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput
}

AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrInput is an input type that accepts AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceArgs, AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtr and AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrInput` via: 

        AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceArgs{...}

or:

        nil

func AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtr 

func AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtr(v *AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceArgs) AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrInput

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput 

type AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput) Elem 

func (o AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput) Elem() AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceOutput

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput) ElementType 

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput) FeatureGroups 

func (o AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput) FeatureGroups() AiFeatureOnlineStoreFeatureviewFeatureRegistrySourceFeatureGroupArrayOutput

List of features that need to be synced to Online Store. Structure is documented below.

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput) ProjectNumber 

func (o AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput) ProjectNumber() pulumi.StringPtrOutput

The project number of the parent project of the feature Groups.

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput 

func (o AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput() AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput

func (AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput) ToAiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput

type AiFeatureOnlineStoreFeatureviewInput 

type AiFeatureOnlineStoreFeatureviewInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreFeatureviewOutput() AiFeatureOnlineStoreFeatureviewOutput
	ToAiFeatureOnlineStoreFeatureviewOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewOutput
}

type AiFeatureOnlineStoreFeatureviewMap 

type AiFeatureOnlineStoreFeatureviewMap map[string]AiFeatureOnlineStoreFeatureviewInput

func (AiFeatureOnlineStoreFeatureviewMap) ElementType 

func (AiFeatureOnlineStoreFeatureviewMap) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewMap) ToAiFeatureOnlineStoreFeatureviewMapOutput 

func (i AiFeatureOnlineStoreFeatureviewMap) ToAiFeatureOnlineStoreFeatureviewMapOutput() AiFeatureOnlineStoreFeatureviewMapOutput

func (AiFeatureOnlineStoreFeatureviewMap) ToAiFeatureOnlineStoreFeatureviewMapOutputWithContext 

func (i AiFeatureOnlineStoreFeatureviewMap) ToAiFeatureOnlineStoreFeatureviewMapOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewMapOutput

type AiFeatureOnlineStoreFeatureviewMapInput 

type AiFeatureOnlineStoreFeatureviewMapInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreFeatureviewMapOutput() AiFeatureOnlineStoreFeatureviewMapOutput
	ToAiFeatureOnlineStoreFeatureviewMapOutputWithContext(context.Context) AiFeatureOnlineStoreFeatureviewMapOutput
}

AiFeatureOnlineStoreFeatureviewMapInput is an input type that accepts AiFeatureOnlineStoreFeatureviewMap and AiFeatureOnlineStoreFeatureviewMapOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreFeatureviewMapInput` via: 

AiFeatureOnlineStoreFeatureviewMap{ "key": AiFeatureOnlineStoreFeatureviewArgs{...} }

type AiFeatureOnlineStoreFeatureviewMapOutput 

type AiFeatureOnlineStoreFeatureviewMapOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreFeatureviewMapOutput) ElementType 

func (AiFeatureOnlineStoreFeatureviewMapOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewMapOutput) MapIndex 

func (o AiFeatureOnlineStoreFeatureviewMapOutput) MapIndex(k pulumi.StringInput) AiFeatureOnlineStoreFeatureviewOutput

func (AiFeatureOnlineStoreFeatureviewMapOutput) ToAiFeatureOnlineStoreFeatureviewMapOutput 

func (o AiFeatureOnlineStoreFeatureviewMapOutput) ToAiFeatureOnlineStoreFeatureviewMapOutput() AiFeatureOnlineStoreFeatureviewMapOutput

func (AiFeatureOnlineStoreFeatureviewMapOutput) ToAiFeatureOnlineStoreFeatureviewMapOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewMapOutput) ToAiFeatureOnlineStoreFeatureviewMapOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewMapOutput

type AiFeatureOnlineStoreFeatureviewOutput 

type AiFeatureOnlineStoreFeatureviewOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreFeatureviewOutput) BigQuerySource 

func (o AiFeatureOnlineStoreFeatureviewOutput) BigQuerySource() AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrOutput

Configures how data is supposed to be extracted from a BigQuery source to be loaded onto the FeatureOnlineStore. Structure is documented below.

func (AiFeatureOnlineStoreFeatureviewOutput) CreateTime 

func (o AiFeatureOnlineStoreFeatureviewOutput) CreateTime() pulumi.StringOutput

The timestamp of when the featureOnlinestore was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

func (AiFeatureOnlineStoreFeatureviewOutput) EffectiveLabels 

func (o AiFeatureOnlineStoreFeatureviewOutput) EffectiveLabels() pulumi.StringMapOutput

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

func (AiFeatureOnlineStoreFeatureviewOutput) ElementType 

func (AiFeatureOnlineStoreFeatureviewOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewOutput) FeatureOnlineStore 

func (o AiFeatureOnlineStoreFeatureviewOutput) FeatureOnlineStore() pulumi.StringOutput

The name of the FeatureOnlineStore to use for the featureview.

func (AiFeatureOnlineStoreFeatureviewOutput) FeatureRegistrySource 

func (o AiFeatureOnlineStoreFeatureviewOutput) FeatureRegistrySource() AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrOutput

Configures the features from a Feature Registry source that need to be loaded onto the FeatureOnlineStore. Structure is documented below.

func (AiFeatureOnlineStoreFeatureviewOutput) Labels 

func (o AiFeatureOnlineStoreFeatureviewOutput) Labels() pulumi.StringMapOutput

A set of key/value label pairs to assign to this FeatureView.

**Note**: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field `effectiveLabels` for all of the labels present on the resource.

func (AiFeatureOnlineStoreFeatureviewOutput) Name 

func (o AiFeatureOnlineStoreFeatureviewOutput) Name() pulumi.StringOutput

Name of the FeatureView. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.

func (AiFeatureOnlineStoreFeatureviewOutput) Project 

func (o AiFeatureOnlineStoreFeatureviewOutput) Project() pulumi.StringOutput

The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

func (AiFeatureOnlineStoreFeatureviewOutput) PulumiLabels 

func (o AiFeatureOnlineStoreFeatureviewOutput) PulumiLabels() pulumi.StringMapOutput

The combination of labels configured directly on the resource and default labels configured on the provider.

func (AiFeatureOnlineStoreFeatureviewOutput) Region 

func (o AiFeatureOnlineStoreFeatureviewOutput) Region() pulumi.StringOutput

The region for the resource. It should be the same as the featureonlinestore region.

***

func (AiFeatureOnlineStoreFeatureviewOutput) SyncConfig 

func (o AiFeatureOnlineStoreFeatureviewOutput) SyncConfig() AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput

Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving. Structure is documented below.

func (AiFeatureOnlineStoreFeatureviewOutput) ToAiFeatureOnlineStoreFeatureviewOutput 

func (o AiFeatureOnlineStoreFeatureviewOutput) ToAiFeatureOnlineStoreFeatureviewOutput() AiFeatureOnlineStoreFeatureviewOutput

func (AiFeatureOnlineStoreFeatureviewOutput) ToAiFeatureOnlineStoreFeatureviewOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewOutput) ToAiFeatureOnlineStoreFeatureviewOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewOutput

func (AiFeatureOnlineStoreFeatureviewOutput) UpdateTime 

func (o AiFeatureOnlineStoreFeatureviewOutput) UpdateTime() pulumi.StringOutput

The timestamp of when the featureOnlinestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

func (AiFeatureOnlineStoreFeatureviewOutput) VectorSearchConfig 

func (o AiFeatureOnlineStoreFeatureviewOutput) VectorSearchConfig() AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput

Configuration for vector search. It contains the required configurations to create an index from source data, so that approximate nearest neighbor (a.k.a ANN) algorithms search can be performed during online serving. Structure is documented below.

type AiFeatureOnlineStoreFeatureviewState 

type AiFeatureOnlineStoreFeatureviewState struct {
	// Configures how data is supposed to be extracted from a BigQuery source to be loaded onto the FeatureOnlineStore.
	// Structure is documented below.
	BigQuerySource AiFeatureOnlineStoreFeatureviewBigQuerySourcePtrInput
	// The timestamp of when the featureOnlinestore was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringPtrInput
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapInput
	// The name of the FeatureOnlineStore to use for the featureview.
	FeatureOnlineStore pulumi.StringPtrInput
	// Configures the features from a Feature Registry source that need to be loaded onto the FeatureOnlineStore.
	// Structure is documented below.
	FeatureRegistrySource AiFeatureOnlineStoreFeatureviewFeatureRegistrySourcePtrInput
	// A set of key/value label pairs to assign to this FeatureView.
	//
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// Name of the FeatureView. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.
	Name pulumi.StringPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapInput
	// The region for the resource. It should be the same as the featureonlinestore region.
	//
	// ***
	Region pulumi.StringPtrInput
	// Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.
	// Structure is documented below.
	SyncConfig AiFeatureOnlineStoreFeatureviewSyncConfigPtrInput
	// The timestamp of when the featureOnlinestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringPtrInput
	// Configuration for vector search. It contains the required configurations to create an index from source data, so that approximate nearest neighbor (a.k.a ANN) algorithms search can be performed during online serving.
	// Structure is documented below.
	VectorSearchConfig AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrInput
}

func (AiFeatureOnlineStoreFeatureviewState) ElementType 

func (AiFeatureOnlineStoreFeatureviewState) ElementType() reflect.Type

type AiFeatureOnlineStoreFeatureviewSyncConfig 

type AiFeatureOnlineStoreFeatureviewSyncConfig struct {
	// Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs.
	// To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}".
	Cron *string `pulumi:"cron"`
}

type AiFeatureOnlineStoreFeatureviewSyncConfigArgs 

type AiFeatureOnlineStoreFeatureviewSyncConfigArgs struct {
	// Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs.
	// To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}".
	Cron pulumi.StringPtrInput `pulumi:"cron"`
}

func (AiFeatureOnlineStoreFeatureviewSyncConfigArgs) ElementType 

func (AiFeatureOnlineStoreFeatureviewSyncConfigArgs) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewSyncConfigArgs) ToAiFeatureOnlineStoreFeatureviewSyncConfigOutput 

func (i AiFeatureOnlineStoreFeatureviewSyncConfigArgs) ToAiFeatureOnlineStoreFeatureviewSyncConfigOutput() AiFeatureOnlineStoreFeatureviewSyncConfigOutput

func (AiFeatureOnlineStoreFeatureviewSyncConfigArgs) ToAiFeatureOnlineStoreFeatureviewSyncConfigOutputWithContext 

func (i AiFeatureOnlineStoreFeatureviewSyncConfigArgs) ToAiFeatureOnlineStoreFeatureviewSyncConfigOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewSyncConfigOutput

func (AiFeatureOnlineStoreFeatureviewSyncConfigArgs) ToAiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput 

func (i AiFeatureOnlineStoreFeatureviewSyncConfigArgs) ToAiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput() AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput

func (AiFeatureOnlineStoreFeatureviewSyncConfigArgs) ToAiFeatureOnlineStoreFeatureviewSyncConfigPtrOutputWithContext 

func (i AiFeatureOnlineStoreFeatureviewSyncConfigArgs) ToAiFeatureOnlineStoreFeatureviewSyncConfigPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput

type AiFeatureOnlineStoreFeatureviewSyncConfigInput 

type AiFeatureOnlineStoreFeatureviewSyncConfigInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreFeatureviewSyncConfigOutput() AiFeatureOnlineStoreFeatureviewSyncConfigOutput
	ToAiFeatureOnlineStoreFeatureviewSyncConfigOutputWithContext(context.Context) AiFeatureOnlineStoreFeatureviewSyncConfigOutput
}

AiFeatureOnlineStoreFeatureviewSyncConfigInput is an input type that accepts AiFeatureOnlineStoreFeatureviewSyncConfigArgs and AiFeatureOnlineStoreFeatureviewSyncConfigOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreFeatureviewSyncConfigInput` via: 

AiFeatureOnlineStoreFeatureviewSyncConfigArgs{...}

type AiFeatureOnlineStoreFeatureviewSyncConfigOutput 

type AiFeatureOnlineStoreFeatureviewSyncConfigOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreFeatureviewSyncConfigOutput) Cron 

func (o AiFeatureOnlineStoreFeatureviewSyncConfigOutput) Cron() pulumi.StringPtrOutput

Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}".

func (AiFeatureOnlineStoreFeatureviewSyncConfigOutput) ElementType 

func (AiFeatureOnlineStoreFeatureviewSyncConfigOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewSyncConfigOutput) ToAiFeatureOnlineStoreFeatureviewSyncConfigOutput 

func (o AiFeatureOnlineStoreFeatureviewSyncConfigOutput) ToAiFeatureOnlineStoreFeatureviewSyncConfigOutput() AiFeatureOnlineStoreFeatureviewSyncConfigOutput

func (AiFeatureOnlineStoreFeatureviewSyncConfigOutput) ToAiFeatureOnlineStoreFeatureviewSyncConfigOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewSyncConfigOutput) ToAiFeatureOnlineStoreFeatureviewSyncConfigOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewSyncConfigOutput

func (AiFeatureOnlineStoreFeatureviewSyncConfigOutput) ToAiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput 

func (o AiFeatureOnlineStoreFeatureviewSyncConfigOutput) ToAiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput() AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput

func (AiFeatureOnlineStoreFeatureviewSyncConfigOutput) ToAiFeatureOnlineStoreFeatureviewSyncConfigPtrOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewSyncConfigOutput) ToAiFeatureOnlineStoreFeatureviewSyncConfigPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput

type AiFeatureOnlineStoreFeatureviewSyncConfigPtrInput 

type AiFeatureOnlineStoreFeatureviewSyncConfigPtrInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput() AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput
	ToAiFeatureOnlineStoreFeatureviewSyncConfigPtrOutputWithContext(context.Context) AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput
}

AiFeatureOnlineStoreFeatureviewSyncConfigPtrInput is an input type that accepts AiFeatureOnlineStoreFeatureviewSyncConfigArgs, AiFeatureOnlineStoreFeatureviewSyncConfigPtr and AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreFeatureviewSyncConfigPtrInput` via: 

        AiFeatureOnlineStoreFeatureviewSyncConfigArgs{...}

or:

        nil

func AiFeatureOnlineStoreFeatureviewSyncConfigPtr 

func AiFeatureOnlineStoreFeatureviewSyncConfigPtr(v *AiFeatureOnlineStoreFeatureviewSyncConfigArgs) AiFeatureOnlineStoreFeatureviewSyncConfigPtrInput

type AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput 

type AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput) Cron 

func (o AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput) Cron() pulumi.StringPtrOutput

Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}".

func (AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput) Elem 

func (o AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput) Elem() AiFeatureOnlineStoreFeatureviewSyncConfigOutput

func (AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput) ElementType 

func (AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput) ToAiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput 

func (o AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput) ToAiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput() AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput

func (AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput) ToAiFeatureOnlineStoreFeatureviewSyncConfigPtrOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput) ToAiFeatureOnlineStoreFeatureviewSyncConfigPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewSyncConfigPtrOutput

type AiFeatureOnlineStoreFeatureviewVectorSearchConfig 

type AiFeatureOnlineStoreFeatureviewVectorSearchConfig struct {
	// Configuration options for using brute force search, which simply implements the standard linear search in the database for each query. It is primarily meant for benchmarking and to generate the ground truth for approximate search.
	BruteForceConfig *AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfig `pulumi:"bruteForceConfig"`
	// Column of crowding. This column contains crowding attribute which is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowdingAttribute.
	CrowdingColumn *string `pulumi:"crowdingColumn"`
	// The distance measure used in nearest neighbor search.
	// For details on allowed values, see the [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1beta1/projects.locations.featureOnlineStores.featureViews#DistanceMeasureType).
	// Possible values are: `SQUARED_L2_DISTANCE`, `COSINE_DISTANCE`, `DOT_PRODUCT_DISTANCE`.
	DistanceMeasureType *string `pulumi:"distanceMeasureType"`
	// Column of embedding. This column contains the source data to create index for vector search.
	EmbeddingColumn string `pulumi:"embeddingColumn"`
	// The number of dimensions of the input embedding.
	EmbeddingDimension *int `pulumi:"embeddingDimension"`
	// Columns of features that are used to filter vector search results.
	FilterColumns []string `pulumi:"filterColumns"`
	// Configuration options for the tree-AH algorithm (Shallow tree + Asymmetric Hashing). Please refer to this paper for more details: https://arxiv.org/abs/1908.10396
	// Structure is documented below.
	TreeAhConfig *AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfig `pulumi:"treeAhConfig"`
}

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigArgs 

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigArgs struct {
	// Configuration options for using brute force search, which simply implements the standard linear search in the database for each query. It is primarily meant for benchmarking and to generate the ground truth for approximate search.
	BruteForceConfig AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrInput `pulumi:"bruteForceConfig"`
	// Column of crowding. This column contains crowding attribute which is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowdingAttribute.
	CrowdingColumn pulumi.StringPtrInput `pulumi:"crowdingColumn"`
	// The distance measure used in nearest neighbor search.
	// For details on allowed values, see the [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1beta1/projects.locations.featureOnlineStores.featureViews#DistanceMeasureType).
	// Possible values are: `SQUARED_L2_DISTANCE`, `COSINE_DISTANCE`, `DOT_PRODUCT_DISTANCE`.
	DistanceMeasureType pulumi.StringPtrInput `pulumi:"distanceMeasureType"`
	// Column of embedding. This column contains the source data to create index for vector search.
	EmbeddingColumn pulumi.StringInput `pulumi:"embeddingColumn"`
	// The number of dimensions of the input embedding.
	EmbeddingDimension pulumi.IntPtrInput `pulumi:"embeddingDimension"`
	// Columns of features that are used to filter vector search results.
	FilterColumns pulumi.StringArrayInput `pulumi:"filterColumns"`
	// Configuration options for the tree-AH algorithm (Shallow tree + Asymmetric Hashing). Please refer to this paper for more details: https://arxiv.org/abs/1908.10396
	// Structure is documented below.
	TreeAhConfig AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrInput `pulumi:"treeAhConfig"`
}

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigArgs) ElementType 

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigArgs) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput 

func (i AiFeatureOnlineStoreFeatureviewVectorSearchConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigOutputWithContext 

func (i AiFeatureOnlineStoreFeatureviewVectorSearchConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput 

func (i AiFeatureOnlineStoreFeatureviewVectorSearchConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutputWithContext 

func (i AiFeatureOnlineStoreFeatureviewVectorSearchConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfig 

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfig struct {
}

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigArgs 

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigArgs struct {
}

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigArgs) ElementType 

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigArgs) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput 

func (i AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutputWithContext 

func (i AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput 

func (i AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutputWithContext 

func (i AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigInput 

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput
	ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutputWithContext(context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput
}

AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigInput is an input type that accepts AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigArgs and AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigInput` via: 

AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigArgs{...}

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput 

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput) ElementType 

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrInput 

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput
	ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutputWithContext(context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput
}

AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrInput is an input type that accepts AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigArgs, AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtr and AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrInput` via: 

        AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigArgs{...}

or:

        nil

func AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtr 

func AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtr(v *AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigArgs) AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrInput

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput 

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput) Elem 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput) Elem() AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput) ElementType 

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigInput 

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput
	ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigOutputWithContext(context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput
}

AiFeatureOnlineStoreFeatureviewVectorSearchConfigInput is an input type that accepts AiFeatureOnlineStoreFeatureviewVectorSearchConfigArgs and AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreFeatureviewVectorSearchConfigInput` via: 

AiFeatureOnlineStoreFeatureviewVectorSearchConfigArgs{...}

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput 

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) BruteForceConfig 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) BruteForceConfig() AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput

Configuration options for using brute force search, which simply implements the standard linear search in the database for each query. It is primarily meant for benchmarking and to generate the ground truth for approximate search.

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) CrowdingColumn 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) CrowdingColumn() pulumi.StringPtrOutput

Column of crowding. This column contains crowding attribute which is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowdingAttribute.

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) DistanceMeasureType 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) DistanceMeasureType() pulumi.StringPtrOutput

The distance measure used in nearest neighbor search. For details on allowed values, see the [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1beta1/projects.locations.featureOnlineStores.featureViews#DistanceMeasureType). Possible values are: `SQUARED_L2_DISTANCE`, `COSINE_DISTANCE`, `DOT_PRODUCT_DISTANCE`.

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) ElementType 

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) EmbeddingColumn 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) EmbeddingColumn() pulumi.StringOutput

Column of embedding. This column contains the source data to create index for vector search.

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) EmbeddingDimension 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) EmbeddingDimension() pulumi.IntPtrOutput

The number of dimensions of the input embedding.

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) FilterColumns 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) FilterColumns() pulumi.StringArrayOutput

Columns of features that are used to filter vector search results.

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) TreeAhConfig 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput) TreeAhConfig() AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput

Configuration options for the tree-AH algorithm (Shallow tree + Asymmetric Hashing). Please refer to this paper for more details: https://arxiv.org/abs/1908.10396 Structure is documented below.

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrInput 

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput
	ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutputWithContext(context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput
}

AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrInput is an input type that accepts AiFeatureOnlineStoreFeatureviewVectorSearchConfigArgs, AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtr and AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrInput` via: 

        AiFeatureOnlineStoreFeatureviewVectorSearchConfigArgs{...}

or:

        nil

func AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtr 

func AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtr(v *AiFeatureOnlineStoreFeatureviewVectorSearchConfigArgs) AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrInput

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput 

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) BruteForceConfig 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) BruteForceConfig() AiFeatureOnlineStoreFeatureviewVectorSearchConfigBruteForceConfigPtrOutput

Configuration options for using brute force search, which simply implements the standard linear search in the database for each query. It is primarily meant for benchmarking and to generate the ground truth for approximate search.

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) CrowdingColumn 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) CrowdingColumn() pulumi.StringPtrOutput

Column of crowding. This column contains crowding attribute which is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowdingAttribute.

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) DistanceMeasureType 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) DistanceMeasureType() pulumi.StringPtrOutput

The distance measure used in nearest neighbor search. For details on allowed values, see the [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1beta1/projects.locations.featureOnlineStores.featureViews#DistanceMeasureType). Possible values are: `SQUARED_L2_DISTANCE`, `COSINE_DISTANCE`, `DOT_PRODUCT_DISTANCE`.

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) Elem 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) Elem() AiFeatureOnlineStoreFeatureviewVectorSearchConfigOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) ElementType 

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) EmbeddingColumn 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) EmbeddingColumn() pulumi.StringPtrOutput

Column of embedding. This column contains the source data to create index for vector search.

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) EmbeddingDimension 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) EmbeddingDimension() pulumi.IntPtrOutput

The number of dimensions of the input embedding.

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) FilterColumns 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) FilterColumns() pulumi.StringArrayOutput

Columns of features that are used to filter vector search results.

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) TreeAhConfig 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigPtrOutput) TreeAhConfig() AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput

Configuration options for the tree-AH algorithm (Shallow tree + Asymmetric Hashing). Please refer to this paper for more details: https://arxiv.org/abs/1908.10396 Structure is documented below.

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfig 

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfig struct {
	// Number of embeddings on each leaf node. The default value is 1000 if not set.
	LeafNodeEmbeddingCount *string `pulumi:"leafNodeEmbeddingCount"`
}

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigArgs 

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigArgs struct {
	// Number of embeddings on each leaf node. The default value is 1000 if not set.
	LeafNodeEmbeddingCount pulumi.StringPtrInput `pulumi:"leafNodeEmbeddingCount"`
}

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigArgs) ElementType 

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigArgs) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput 

func (i AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutputWithContext 

func (i AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput 

func (i AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutputWithContext 

func (i AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigArgs) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigInput 

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput
	ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutputWithContext(context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput
}

AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigInput is an input type that accepts AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigArgs and AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigInput` via: 

AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigArgs{...}

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput 

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput) ElementType 

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput) LeafNodeEmbeddingCount 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput) LeafNodeEmbeddingCount() pulumi.StringPtrOutput

Number of embeddings on each leaf node. The default value is 1000 if not set.

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrInput 

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput
	ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutputWithContext(context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput
}

AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrInput is an input type that accepts AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigArgs, AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtr and AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrInput` via: 

        AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigArgs{...}

or:

        nil

func AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtr 

func AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtr(v *AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigArgs) AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrInput

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput 

type AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput) Elem 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput) Elem() AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput) ElementType 

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput) LeafNodeEmbeddingCount 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput) LeafNodeEmbeddingCount() pulumi.StringPtrOutput

Number of embeddings on each leaf node. The default value is 1000 if not set.

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput() AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput

func (AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutputWithContext 

func (o AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput) ToAiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreFeatureviewVectorSearchConfigTreeAhConfigPtrOutput

type AiFeatureOnlineStoreInput 

type AiFeatureOnlineStoreInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreOutput() AiFeatureOnlineStoreOutput
	ToAiFeatureOnlineStoreOutputWithContext(ctx context.Context) AiFeatureOnlineStoreOutput
}

type AiFeatureOnlineStoreMap 

type AiFeatureOnlineStoreMap map[string]AiFeatureOnlineStoreInput

func (AiFeatureOnlineStoreMap) ElementType 

func (AiFeatureOnlineStoreMap) ElementType() reflect.Type

func (AiFeatureOnlineStoreMap) ToAiFeatureOnlineStoreMapOutput 

func (i AiFeatureOnlineStoreMap) ToAiFeatureOnlineStoreMapOutput() AiFeatureOnlineStoreMapOutput

func (AiFeatureOnlineStoreMap) ToAiFeatureOnlineStoreMapOutputWithContext 

func (i AiFeatureOnlineStoreMap) ToAiFeatureOnlineStoreMapOutputWithContext(ctx context.Context) AiFeatureOnlineStoreMapOutput

type AiFeatureOnlineStoreMapInput 

type AiFeatureOnlineStoreMapInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreMapOutput() AiFeatureOnlineStoreMapOutput
	ToAiFeatureOnlineStoreMapOutputWithContext(context.Context) AiFeatureOnlineStoreMapOutput
}

AiFeatureOnlineStoreMapInput is an input type that accepts AiFeatureOnlineStoreMap and AiFeatureOnlineStoreMapOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreMapInput` via: 

AiFeatureOnlineStoreMap{ "key": AiFeatureOnlineStoreArgs{...} }

type AiFeatureOnlineStoreMapOutput 

type AiFeatureOnlineStoreMapOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreMapOutput) ElementType 

func (AiFeatureOnlineStoreMapOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreMapOutput) MapIndex 

func (o AiFeatureOnlineStoreMapOutput) MapIndex(k pulumi.StringInput) AiFeatureOnlineStoreOutput

func (AiFeatureOnlineStoreMapOutput) ToAiFeatureOnlineStoreMapOutput 

func (o AiFeatureOnlineStoreMapOutput) ToAiFeatureOnlineStoreMapOutput() AiFeatureOnlineStoreMapOutput

func (AiFeatureOnlineStoreMapOutput) ToAiFeatureOnlineStoreMapOutputWithContext 

func (o AiFeatureOnlineStoreMapOutput) ToAiFeatureOnlineStoreMapOutputWithContext(ctx context.Context) AiFeatureOnlineStoreMapOutput

type AiFeatureOnlineStoreOptimized 

type AiFeatureOnlineStoreOptimized struct {
}

type AiFeatureOnlineStoreOptimizedArgs 

type AiFeatureOnlineStoreOptimizedArgs struct {
}

func (AiFeatureOnlineStoreOptimizedArgs) ElementType 

func (AiFeatureOnlineStoreOptimizedArgs) ElementType() reflect.Type

func (AiFeatureOnlineStoreOptimizedArgs) ToAiFeatureOnlineStoreOptimizedOutput 

func (i AiFeatureOnlineStoreOptimizedArgs) ToAiFeatureOnlineStoreOptimizedOutput() AiFeatureOnlineStoreOptimizedOutput

func (AiFeatureOnlineStoreOptimizedArgs) ToAiFeatureOnlineStoreOptimizedOutputWithContext 

func (i AiFeatureOnlineStoreOptimizedArgs) ToAiFeatureOnlineStoreOptimizedOutputWithContext(ctx context.Context) AiFeatureOnlineStoreOptimizedOutput

func (AiFeatureOnlineStoreOptimizedArgs) ToAiFeatureOnlineStoreOptimizedPtrOutput 

func (i AiFeatureOnlineStoreOptimizedArgs) ToAiFeatureOnlineStoreOptimizedPtrOutput() AiFeatureOnlineStoreOptimizedPtrOutput

func (AiFeatureOnlineStoreOptimizedArgs) ToAiFeatureOnlineStoreOptimizedPtrOutputWithContext 

func (i AiFeatureOnlineStoreOptimizedArgs) ToAiFeatureOnlineStoreOptimizedPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreOptimizedPtrOutput

type AiFeatureOnlineStoreOptimizedInput 

type AiFeatureOnlineStoreOptimizedInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreOptimizedOutput() AiFeatureOnlineStoreOptimizedOutput
	ToAiFeatureOnlineStoreOptimizedOutputWithContext(context.Context) AiFeatureOnlineStoreOptimizedOutput
}

AiFeatureOnlineStoreOptimizedInput is an input type that accepts AiFeatureOnlineStoreOptimizedArgs and AiFeatureOnlineStoreOptimizedOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreOptimizedInput` via: 

AiFeatureOnlineStoreOptimizedArgs{...}

type AiFeatureOnlineStoreOptimizedOutput 

type AiFeatureOnlineStoreOptimizedOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreOptimizedOutput) ElementType 

func (AiFeatureOnlineStoreOptimizedOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreOptimizedOutput) ToAiFeatureOnlineStoreOptimizedOutput 

func (o AiFeatureOnlineStoreOptimizedOutput) ToAiFeatureOnlineStoreOptimizedOutput() AiFeatureOnlineStoreOptimizedOutput

func (AiFeatureOnlineStoreOptimizedOutput) ToAiFeatureOnlineStoreOptimizedOutputWithContext 

func (o AiFeatureOnlineStoreOptimizedOutput) ToAiFeatureOnlineStoreOptimizedOutputWithContext(ctx context.Context) AiFeatureOnlineStoreOptimizedOutput

func (AiFeatureOnlineStoreOptimizedOutput) ToAiFeatureOnlineStoreOptimizedPtrOutput 

func (o AiFeatureOnlineStoreOptimizedOutput) ToAiFeatureOnlineStoreOptimizedPtrOutput() AiFeatureOnlineStoreOptimizedPtrOutput

func (AiFeatureOnlineStoreOptimizedOutput) ToAiFeatureOnlineStoreOptimizedPtrOutputWithContext 

func (o AiFeatureOnlineStoreOptimizedOutput) ToAiFeatureOnlineStoreOptimizedPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreOptimizedPtrOutput

type AiFeatureOnlineStoreOptimizedPtrInput 

type AiFeatureOnlineStoreOptimizedPtrInput interface {
	pulumi.Input

	ToAiFeatureOnlineStoreOptimizedPtrOutput() AiFeatureOnlineStoreOptimizedPtrOutput
	ToAiFeatureOnlineStoreOptimizedPtrOutputWithContext(context.Context) AiFeatureOnlineStoreOptimizedPtrOutput
}

AiFeatureOnlineStoreOptimizedPtrInput is an input type that accepts AiFeatureOnlineStoreOptimizedArgs, AiFeatureOnlineStoreOptimizedPtr and AiFeatureOnlineStoreOptimizedPtrOutput values. You can construct a concrete instance of `AiFeatureOnlineStoreOptimizedPtrInput` via: 

        AiFeatureOnlineStoreOptimizedArgs{...}

or:

        nil

func AiFeatureOnlineStoreOptimizedPtr 

func AiFeatureOnlineStoreOptimizedPtr(v *AiFeatureOnlineStoreOptimizedArgs) AiFeatureOnlineStoreOptimizedPtrInput

type AiFeatureOnlineStoreOptimizedPtrOutput 

type AiFeatureOnlineStoreOptimizedPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreOptimizedPtrOutput) Elem 

func (o AiFeatureOnlineStoreOptimizedPtrOutput) Elem() AiFeatureOnlineStoreOptimizedOutput

func (AiFeatureOnlineStoreOptimizedPtrOutput) ElementType 

func (AiFeatureOnlineStoreOptimizedPtrOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreOptimizedPtrOutput) ToAiFeatureOnlineStoreOptimizedPtrOutput 

func (o AiFeatureOnlineStoreOptimizedPtrOutput) ToAiFeatureOnlineStoreOptimizedPtrOutput() AiFeatureOnlineStoreOptimizedPtrOutput

func (AiFeatureOnlineStoreOptimizedPtrOutput) ToAiFeatureOnlineStoreOptimizedPtrOutputWithContext 

func (o AiFeatureOnlineStoreOptimizedPtrOutput) ToAiFeatureOnlineStoreOptimizedPtrOutputWithContext(ctx context.Context) AiFeatureOnlineStoreOptimizedPtrOutput

type AiFeatureOnlineStoreOutput 

type AiFeatureOnlineStoreOutput struct{ *pulumi.OutputState }

func (AiFeatureOnlineStoreOutput) Bigtable 

func (o AiFeatureOnlineStoreOutput) Bigtable() AiFeatureOnlineStoreBigtablePtrOutput

Settings for Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. Structure is documented below.

func (AiFeatureOnlineStoreOutput) CreateTime 

func (o AiFeatureOnlineStoreOutput) CreateTime() pulumi.StringOutput

The timestamp of when the feature online store was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

func (AiFeatureOnlineStoreOutput) DedicatedServingEndpoint 

func (o AiFeatureOnlineStoreOutput) DedicatedServingEndpoint() AiFeatureOnlineStoreDedicatedServingEndpointOutput

The dedicated serving endpoint for this FeatureOnlineStore, which is different from common vertex service endpoint. Only need to be set when you choose Optimized storage type or enable EmbeddingManagement. Will use public endpoint by default. Structure is documented below.

func (AiFeatureOnlineStoreOutput) EffectiveLabels 

func (o AiFeatureOnlineStoreOutput) EffectiveLabels() pulumi.StringMapOutput

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

func (AiFeatureOnlineStoreOutput) ElementType 

func (AiFeatureOnlineStoreOutput) ElementType() reflect.Type

func (AiFeatureOnlineStoreOutput) EmbeddingManagement deprecated 

func (o AiFeatureOnlineStoreOutput) EmbeddingManagement() AiFeatureOnlineStoreEmbeddingManagementOutput

The settings for embedding management in FeatureOnlineStore. Embedding management can only be set for BigTable. It is enabled by default for optimized storagetype. Structure is documented below.

> **Warning:** `embeddingManagement` is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

Deprecated: `embeddingManagement` is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

func (AiFeatureOnlineStoreOutput) Etag 

func (o AiFeatureOnlineStoreOutput) Etag() pulumi.StringOutput

Used to perform consistent read-modify-write updates.

func (AiFeatureOnlineStoreOutput) ForceDestroy 

func (o AiFeatureOnlineStoreOutput) ForceDestroy() pulumi.BoolPtrOutput

If set to true, any FeatureViews and Features for this FeatureOnlineStore will also be deleted.

func (AiFeatureOnlineStoreOutput) Labels 

func (o AiFeatureOnlineStoreOutput) Labels() pulumi.StringMapOutput

The labels with user-defined metadata to organize your feature online stores. **Note**: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field `effectiveLabels` for all of the labels present on the resource.

func (AiFeatureOnlineStoreOutput) Name 

func (o AiFeatureOnlineStoreOutput) Name() pulumi.StringOutput

The resource name of the Feature Online Store. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.

***

func (AiFeatureOnlineStoreOutput) Optimized 

func (o AiFeatureOnlineStoreOutput) Optimized() AiFeatureOnlineStoreOptimizedPtrOutput

Settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore

func (AiFeatureOnlineStoreOutput) Project 

func (o AiFeatureOnlineStoreOutput) Project() pulumi.StringOutput

The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

func (AiFeatureOnlineStoreOutput) PulumiLabels 

func (o AiFeatureOnlineStoreOutput) PulumiLabels() pulumi.StringMapOutput

The combination of labels configured directly on the resource and default labels configured on the provider.

func (AiFeatureOnlineStoreOutput) Region 

func (o AiFeatureOnlineStoreOutput) Region() pulumi.StringOutput

The region of feature online store. eg us-central1

func (AiFeatureOnlineStoreOutput) State 

func (o AiFeatureOnlineStoreOutput) State() pulumi.StringOutput

The state of the Feature Online Store. See the possible states in [this link](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featureOnlineStores#state).

func (AiFeatureOnlineStoreOutput) ToAiFeatureOnlineStoreOutput 

func (o AiFeatureOnlineStoreOutput) ToAiFeatureOnlineStoreOutput() AiFeatureOnlineStoreOutput

func (AiFeatureOnlineStoreOutput) ToAiFeatureOnlineStoreOutputWithContext 

func (o AiFeatureOnlineStoreOutput) ToAiFeatureOnlineStoreOutputWithContext(ctx context.Context) AiFeatureOnlineStoreOutput

func (AiFeatureOnlineStoreOutput) UpdateTime 

func (o AiFeatureOnlineStoreOutput) UpdateTime() pulumi.StringOutput

The timestamp of when the feature online store was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

type AiFeatureOnlineStoreState 

type AiFeatureOnlineStoreState struct {
	// Settings for Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore.
	// Structure is documented below.
	Bigtable AiFeatureOnlineStoreBigtablePtrInput
	// The timestamp of when the feature online store was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringPtrInput
	// The dedicated serving endpoint for this FeatureOnlineStore, which is different from common vertex service endpoint. Only need to be set when you choose Optimized storage type or enable EmbeddingManagement. Will use public endpoint by default.
	// Structure is documented below.
	DedicatedServingEndpoint AiFeatureOnlineStoreDedicatedServingEndpointPtrInput
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapInput
	// The settings for embedding management in FeatureOnlineStore. Embedding management can only be set for BigTable. It is enabled by default for optimized storagetype.
	// Structure is documented below.
	//
	// > **Warning:** `embeddingManagement` is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type
	//
	// Deprecated: `embeddingManagement` is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type
	EmbeddingManagement AiFeatureOnlineStoreEmbeddingManagementPtrInput
	// Used to perform consistent read-modify-write updates.
	Etag pulumi.StringPtrInput
	// If set to true, any FeatureViews and Features for this FeatureOnlineStore will also be deleted.
	ForceDestroy pulumi.BoolPtrInput
	// The labels with user-defined metadata to organize your feature online stores.
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// The resource name of the Feature Online Store. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.
	//
	// ***
	Name pulumi.StringPtrInput
	// Settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore
	Optimized AiFeatureOnlineStoreOptimizedPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapInput
	// The region of feature online store. eg us-central1
	Region pulumi.StringPtrInput
	// The state of the Feature Online Store. See the possible states in [this link](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featureOnlineStores#state).
	State pulumi.StringPtrInput
	// The timestamp of when the feature online store was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringPtrInput
}

func (AiFeatureOnlineStoreState) ElementType 

func (AiFeatureOnlineStoreState) ElementType() reflect.Type

type AiFeatureStore 

type AiFeatureStore struct {
	pulumi.CustomResourceState

	// The timestamp of when the featurestore was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringOutput `pulumi:"createTime"`
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapOutput `pulumi:"effectiveLabels"`
	// If set, both of the online and offline data storage will be secured by this key.
	// Structure is documented below.
	EncryptionSpec AiFeatureStoreEncryptionSpecPtrOutput `pulumi:"encryptionSpec"`
	// Used to perform consistent read-modify-write updates.
	Etag pulumi.StringOutput `pulumi:"etag"`
	// If set to true, any EntityTypes and Features for this Featurestore will also be deleted
	ForceDestroy pulumi.BoolPtrOutput `pulumi:"forceDestroy"`
	// A set of key/value label pairs to assign to this Featurestore.
	//
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapOutput `pulumi:"labels"`
	// The name of the Featurestore. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.
	Name pulumi.StringOutput `pulumi:"name"`
	// Config for online serving resources.
	// Structure is documented below.
	OnlineServingConfig AiFeatureStoreOnlineServingConfigPtrOutput `pulumi:"onlineServingConfig"`
	// TTL in days for feature values that will be stored in online serving storage. The Feature Store online storage periodically removes obsolete feature values older than onlineStorageTtlDays since the feature generation time. Note that onlineStorageTtlDays should be less than or equal to offlineStorageTtlDays for each EntityType under a featurestore. If not set, default to 4000 days
	OnlineStorageTtlDays pulumi.IntPtrOutput `pulumi:"onlineStorageTtlDays"`
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringOutput `pulumi:"project"`
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapOutput `pulumi:"pulumiLabels"`
	// The region of the dataset. eg us-central1
	Region pulumi.StringOutput `pulumi:"region"`
	// The timestamp of when the featurestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringOutput `pulumi:"updateTime"`
}

A collection of DataItems and Annotations on them.

To get more information about Featurestore, see:

* [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores) * How-to Guides

## Example Usage

### Vertex Ai Featurestore

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiFeatureStore(ctx, "featurestore", &vertex.AiFeatureStoreArgs{
			Name: pulumi.String("terraform"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			OnlineServingConfig: &vertex.AiFeatureStoreOnlineServingConfigArgs{
				FixedNodeCount: pulumi.Int(2),
			},
			EncryptionSpec: &vertex.AiFeatureStoreEncryptionSpecArgs{
				KmsKeyName: pulumi.String("kms-name"),
			},
			ForceDestroy: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

``` ### Vertex Ai Featurestore With Beta Fields

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiFeatureStore(ctx, "featurestore", &vertex.AiFeatureStoreArgs{
			Name: pulumi.String("terraform2"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			OnlineServingConfig: &vertex.AiFeatureStoreOnlineServingConfigArgs{
				FixedNodeCount: pulumi.Int(2),
			},
			EncryptionSpec: &vertex.AiFeatureStoreEncryptionSpecArgs{
				KmsKeyName: pulumi.String("kms-name"),
			},
			OnlineStorageTtlDays: pulumi.Int(30),
			ForceDestroy:         pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

``` ### Vertex Ai Featurestore Scaling

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiFeatureStore(ctx, "featurestore", &vertex.AiFeatureStoreArgs{
			Name: pulumi.String("terraform3"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			OnlineServingConfig: &vertex.AiFeatureStoreOnlineServingConfigArgs{
				Scaling: &vertex.AiFeatureStoreOnlineServingConfigScalingArgs{
					MinNodeCount: pulumi.Int(2),
					MaxNodeCount: pulumi.Int(10),
				},
			},
			EncryptionSpec: &vertex.AiFeatureStoreEncryptionSpecArgs{
				KmsKeyName: pulumi.String("kms-name"),
			},
			ForceDestroy: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

```

## Import

Featurestore can be imported using any of these accepted formats:

* `projects/{{project}}/locations/{{region}}/featurestores/{{name}}`

* `{{project}}/{{region}}/{{name}}`

* `{{region}}/{{name}}`

* `{{name}}`

When using the `pulumi import` command, Featurestore can be imported using one of the formats above. For example:

```sh $ pulumi import gcp:vertex/aiFeatureStore:AiFeatureStore default projects/{{project}}/locations/{{region}}/featurestores/{{name}} ```

```sh $ pulumi import gcp:vertex/aiFeatureStore:AiFeatureStore default {{project}}/{{region}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiFeatureStore:AiFeatureStore default {{region}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiFeatureStore:AiFeatureStore default {{name}} ```

func GetAiFeatureStore 

func GetAiFeatureStore(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiFeatureStoreState, opts ...pulumi.ResourceOption) (*AiFeatureStore, error)

GetAiFeatureStore gets an existing AiFeatureStore resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiFeatureStore 

func NewAiFeatureStore(ctx *pulumi.Context,
	name string, args *AiFeatureStoreArgs, opts ...pulumi.ResourceOption) (*AiFeatureStore, error)

NewAiFeatureStore registers a new resource with the given unique name, arguments, and options.

func (*AiFeatureStore) ElementType 

func (*AiFeatureStore) ElementType() reflect.Type

func (*AiFeatureStore) ToAiFeatureStoreOutput 

func (i *AiFeatureStore) ToAiFeatureStoreOutput() AiFeatureStoreOutput

func (*AiFeatureStore) ToAiFeatureStoreOutputWithContext 

func (i *AiFeatureStore) ToAiFeatureStoreOutputWithContext(ctx context.Context) AiFeatureStoreOutput

type AiFeatureStoreArgs 

type AiFeatureStoreArgs struct {
	// If set, both of the online and offline data storage will be secured by this key.
	// Structure is documented below.
	EncryptionSpec AiFeatureStoreEncryptionSpecPtrInput
	// If set to true, any EntityTypes and Features for this Featurestore will also be deleted
	ForceDestroy pulumi.BoolPtrInput
	// A set of key/value label pairs to assign to this Featurestore.
	//
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// The name of the Featurestore. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.
	Name pulumi.StringPtrInput
	// Config for online serving resources.
	// Structure is documented below.
	OnlineServingConfig AiFeatureStoreOnlineServingConfigPtrInput
	// TTL in days for feature values that will be stored in online serving storage. The Feature Store online storage periodically removes obsolete feature values older than onlineStorageTtlDays since the feature generation time. Note that onlineStorageTtlDays should be less than or equal to offlineStorageTtlDays for each EntityType under a featurestore. If not set, default to 4000 days
	OnlineStorageTtlDays pulumi.IntPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The region of the dataset. eg us-central1
	Region pulumi.StringPtrInput
}

The set of arguments for constructing a AiFeatureStore resource.

func (AiFeatureStoreArgs) ElementType 

func (AiFeatureStoreArgs) ElementType() reflect.Type

type AiFeatureStoreArray 

type AiFeatureStoreArray []AiFeatureStoreInput

func (AiFeatureStoreArray) ElementType 

func (AiFeatureStoreArray) ElementType() reflect.Type

func (AiFeatureStoreArray) ToAiFeatureStoreArrayOutput 

func (i AiFeatureStoreArray) ToAiFeatureStoreArrayOutput() AiFeatureStoreArrayOutput

func (AiFeatureStoreArray) ToAiFeatureStoreArrayOutputWithContext 

func (i AiFeatureStoreArray) ToAiFeatureStoreArrayOutputWithContext(ctx context.Context) AiFeatureStoreArrayOutput

type AiFeatureStoreArrayInput 

type AiFeatureStoreArrayInput interface {
	pulumi.Input

	ToAiFeatureStoreArrayOutput() AiFeatureStoreArrayOutput
	ToAiFeatureStoreArrayOutputWithContext(context.Context) AiFeatureStoreArrayOutput
}

AiFeatureStoreArrayInput is an input type that accepts AiFeatureStoreArray and AiFeatureStoreArrayOutput values. You can construct a concrete instance of `AiFeatureStoreArrayInput` via: 

AiFeatureStoreArray{ AiFeatureStoreArgs{...} }

type AiFeatureStoreArrayOutput 

type AiFeatureStoreArrayOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreArrayOutput) ElementType 

func (AiFeatureStoreArrayOutput) ElementType() reflect.Type

func (AiFeatureStoreArrayOutput) Index 

func (o AiFeatureStoreArrayOutput) Index(i pulumi.IntInput) AiFeatureStoreOutput

func (AiFeatureStoreArrayOutput) ToAiFeatureStoreArrayOutput 

func (o AiFeatureStoreArrayOutput) ToAiFeatureStoreArrayOutput() AiFeatureStoreArrayOutput

func (AiFeatureStoreArrayOutput) ToAiFeatureStoreArrayOutputWithContext 

func (o AiFeatureStoreArrayOutput) ToAiFeatureStoreArrayOutputWithContext(ctx context.Context) AiFeatureStoreArrayOutput

type AiFeatureStoreEncryptionSpec 

type AiFeatureStoreEncryptionSpec struct {
	// The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
	KmsKeyName string `pulumi:"kmsKeyName"`
}

type AiFeatureStoreEncryptionSpecArgs 

type AiFeatureStoreEncryptionSpecArgs struct {
	// The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
	KmsKeyName pulumi.StringInput `pulumi:"kmsKeyName"`
}

func (AiFeatureStoreEncryptionSpecArgs) ElementType 

func (AiFeatureStoreEncryptionSpecArgs) ElementType() reflect.Type

func (AiFeatureStoreEncryptionSpecArgs) ToAiFeatureStoreEncryptionSpecOutput 

func (i AiFeatureStoreEncryptionSpecArgs) ToAiFeatureStoreEncryptionSpecOutput() AiFeatureStoreEncryptionSpecOutput

func (AiFeatureStoreEncryptionSpecArgs) ToAiFeatureStoreEncryptionSpecOutputWithContext 

func (i AiFeatureStoreEncryptionSpecArgs) ToAiFeatureStoreEncryptionSpecOutputWithContext(ctx context.Context) AiFeatureStoreEncryptionSpecOutput

func (AiFeatureStoreEncryptionSpecArgs) ToAiFeatureStoreEncryptionSpecPtrOutput 

func (i AiFeatureStoreEncryptionSpecArgs) ToAiFeatureStoreEncryptionSpecPtrOutput() AiFeatureStoreEncryptionSpecPtrOutput

func (AiFeatureStoreEncryptionSpecArgs) ToAiFeatureStoreEncryptionSpecPtrOutputWithContext 

func (i AiFeatureStoreEncryptionSpecArgs) ToAiFeatureStoreEncryptionSpecPtrOutputWithContext(ctx context.Context) AiFeatureStoreEncryptionSpecPtrOutput

type AiFeatureStoreEncryptionSpecInput 

type AiFeatureStoreEncryptionSpecInput interface {
	pulumi.Input

	ToAiFeatureStoreEncryptionSpecOutput() AiFeatureStoreEncryptionSpecOutput
	ToAiFeatureStoreEncryptionSpecOutputWithContext(context.Context) AiFeatureStoreEncryptionSpecOutput
}

AiFeatureStoreEncryptionSpecInput is an input type that accepts AiFeatureStoreEncryptionSpecArgs and AiFeatureStoreEncryptionSpecOutput values. You can construct a concrete instance of `AiFeatureStoreEncryptionSpecInput` via: 

AiFeatureStoreEncryptionSpecArgs{...}

type AiFeatureStoreEncryptionSpecOutput 

type AiFeatureStoreEncryptionSpecOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEncryptionSpecOutput) ElementType 

func (AiFeatureStoreEncryptionSpecOutput) ElementType() reflect.Type

func (AiFeatureStoreEncryptionSpecOutput) KmsKeyName 

func (o AiFeatureStoreEncryptionSpecOutput) KmsKeyName() pulumi.StringOutput

The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.

func (AiFeatureStoreEncryptionSpecOutput) ToAiFeatureStoreEncryptionSpecOutput 

func (o AiFeatureStoreEncryptionSpecOutput) ToAiFeatureStoreEncryptionSpecOutput() AiFeatureStoreEncryptionSpecOutput

func (AiFeatureStoreEncryptionSpecOutput) ToAiFeatureStoreEncryptionSpecOutputWithContext 

func (o AiFeatureStoreEncryptionSpecOutput) ToAiFeatureStoreEncryptionSpecOutputWithContext(ctx context.Context) AiFeatureStoreEncryptionSpecOutput

func (AiFeatureStoreEncryptionSpecOutput) ToAiFeatureStoreEncryptionSpecPtrOutput 

func (o AiFeatureStoreEncryptionSpecOutput) ToAiFeatureStoreEncryptionSpecPtrOutput() AiFeatureStoreEncryptionSpecPtrOutput

func (AiFeatureStoreEncryptionSpecOutput) ToAiFeatureStoreEncryptionSpecPtrOutputWithContext 

func (o AiFeatureStoreEncryptionSpecOutput) ToAiFeatureStoreEncryptionSpecPtrOutputWithContext(ctx context.Context) AiFeatureStoreEncryptionSpecPtrOutput

type AiFeatureStoreEncryptionSpecPtrInput 

type AiFeatureStoreEncryptionSpecPtrInput interface {
	pulumi.Input

	ToAiFeatureStoreEncryptionSpecPtrOutput() AiFeatureStoreEncryptionSpecPtrOutput
	ToAiFeatureStoreEncryptionSpecPtrOutputWithContext(context.Context) AiFeatureStoreEncryptionSpecPtrOutput
}

AiFeatureStoreEncryptionSpecPtrInput is an input type that accepts AiFeatureStoreEncryptionSpecArgs, AiFeatureStoreEncryptionSpecPtr and AiFeatureStoreEncryptionSpecPtrOutput values. You can construct a concrete instance of `AiFeatureStoreEncryptionSpecPtrInput` via: 

        AiFeatureStoreEncryptionSpecArgs{...}

or:

        nil

func AiFeatureStoreEncryptionSpecPtr 

func AiFeatureStoreEncryptionSpecPtr(v *AiFeatureStoreEncryptionSpecArgs) AiFeatureStoreEncryptionSpecPtrInput

type AiFeatureStoreEncryptionSpecPtrOutput 

type AiFeatureStoreEncryptionSpecPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEncryptionSpecPtrOutput) Elem 

func (o AiFeatureStoreEncryptionSpecPtrOutput) Elem() AiFeatureStoreEncryptionSpecOutput

func (AiFeatureStoreEncryptionSpecPtrOutput) ElementType 

func (AiFeatureStoreEncryptionSpecPtrOutput) ElementType() reflect.Type

func (AiFeatureStoreEncryptionSpecPtrOutput) KmsKeyName 

func (o AiFeatureStoreEncryptionSpecPtrOutput) KmsKeyName() pulumi.StringPtrOutput

The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.

func (AiFeatureStoreEncryptionSpecPtrOutput) ToAiFeatureStoreEncryptionSpecPtrOutput 

func (o AiFeatureStoreEncryptionSpecPtrOutput) ToAiFeatureStoreEncryptionSpecPtrOutput() AiFeatureStoreEncryptionSpecPtrOutput

func (AiFeatureStoreEncryptionSpecPtrOutput) ToAiFeatureStoreEncryptionSpecPtrOutputWithContext 

func (o AiFeatureStoreEncryptionSpecPtrOutput) ToAiFeatureStoreEncryptionSpecPtrOutputWithContext(ctx context.Context) AiFeatureStoreEncryptionSpecPtrOutput

type AiFeatureStoreEntityType 

type AiFeatureStoreEntityType struct {
	pulumi.CustomResourceState

	// The timestamp of when the featurestore was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringOutput `pulumi:"createTime"`
	// Optional. Description of the EntityType.
	Description pulumi.StringPtrOutput `pulumi:"description"`
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapOutput `pulumi:"effectiveLabels"`
	// Used to perform consistent read-modify-write updates.
	Etag pulumi.StringOutput `pulumi:"etag"`
	// The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}.
	//
	// ***
	Featurestore pulumi.StringOutput `pulumi:"featurestore"`
	// A set of key/value label pairs to assign to this EntityType.
	//
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapOutput `pulumi:"labels"`
	// The default monitoring configuration for all Features under this EntityType.
	// If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled.
	// Structure is documented below.
	MonitoringConfig AiFeatureStoreEntityTypeMonitoringConfigPtrOutput `pulumi:"monitoringConfig"`
	// The name of the EntityType. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.
	Name pulumi.StringOutput `pulumi:"name"`
	// Config for data retention policy in offline storage. TTL in days for feature values that will be stored in offline storage. The Feature Store offline storage periodically removes obsolete feature values older than offlineStorageTtlDays since the feature generation time. If unset (or explicitly set to 0), default to 4000 days TTL.
	OfflineStorageTtlDays pulumi.IntPtrOutput `pulumi:"offlineStorageTtlDays"`
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapOutput `pulumi:"pulumiLabels"`
	// The region of the EntityType.
	Region pulumi.StringOutput `pulumi:"region"`
	// The timestamp of when the featurestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringOutput `pulumi:"updateTime"`
}

An entity type is a type of object in a system that needs to be modeled and have stored information about. For example, driver is an entity type, and driver0 is an instance of an entity type driver.

To get more information about FeaturestoreEntitytype, see:

* [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes) * How-to Guides

## Example Usage

### Vertex Ai Featurestore Entitytype

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		featurestore, err := vertex.NewAiFeatureStore(ctx, "featurestore", &vertex.AiFeatureStoreArgs{
			Name: pulumi.String("terraform"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			OnlineServingConfig: &vertex.AiFeatureStoreOnlineServingConfigArgs{
				FixedNodeCount: pulumi.Int(2),
			},
			EncryptionSpec: &vertex.AiFeatureStoreEncryptionSpecArgs{
				KmsKeyName: pulumi.String("kms-name"),
			},
		})
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureStoreEntityType(ctx, "entity", &vertex.AiFeatureStoreEntityTypeArgs{
			Name: pulumi.String("terraform"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Description:  pulumi.String("test description"),
			Featurestore: featurestore.ID(),
			MonitoringConfig: &vertex.AiFeatureStoreEntityTypeMonitoringConfigArgs{
				SnapshotAnalysis: &vertex.AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs{
					Disabled:               pulumi.Bool(false),
					MonitoringIntervalDays: pulumi.Int(1),
					StalenessDays:          pulumi.Int(21),
				},
				NumericalThresholdConfig: &vertex.AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs{
					Value: pulumi.Float64(0.8),
				},
				CategoricalThresholdConfig: &vertex.AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs{
					Value: pulumi.Float64(10),
				},
				ImportFeaturesAnalysis: &vertex.AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisArgs{
					State:                    pulumi.String("ENABLED"),
					AnomalyDetectionBaseline: pulumi.String("PREVIOUS_IMPORT_FEATURES_STATS"),
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

``` ### Vertex Ai Featurestore Entitytype With Beta Fields

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		featurestore, err := vertex.NewAiFeatureStore(ctx, "featurestore", &vertex.AiFeatureStoreArgs{
			Name: pulumi.String("terraform2"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			OnlineServingConfig: &vertex.AiFeatureStoreOnlineServingConfigArgs{
				FixedNodeCount: pulumi.Int(2),
			},
			EncryptionSpec: &vertex.AiFeatureStoreEncryptionSpecArgs{
				KmsKeyName: pulumi.String("kms-name"),
			},
		})
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureStoreEntityType(ctx, "entity", &vertex.AiFeatureStoreEntityTypeArgs{
			Name: pulumi.String("terraform2"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Featurestore: featurestore.ID(),
			MonitoringConfig: &vertex.AiFeatureStoreEntityTypeMonitoringConfigArgs{
				SnapshotAnalysis: &vertex.AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs{
					Disabled:           pulumi.Bool(false),
					MonitoringInterval: pulumi.String("86400s"),
				},
				CategoricalThresholdConfig: &vertex.AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs{
					Value: pulumi.Float64(0.3),
				},
				NumericalThresholdConfig: &vertex.AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs{
					Value: pulumi.Float64(0.3),
				},
			},
			OfflineStorageTtlDays: pulumi.Int(30),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

```

## Import

FeaturestoreEntitytype can be imported using any of these accepted formats:

* `{{featurestore}}/entityTypes/{{name}}`

When using the `pulumi import` command, FeaturestoreEntitytype can be imported using one of the formats above. For example:

```sh $ pulumi import gcp:vertex/aiFeatureStoreEntityType:AiFeatureStoreEntityType default {{featurestore}}/entityTypes/{{name}} ```

func GetAiFeatureStoreEntityType 

func GetAiFeatureStoreEntityType(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiFeatureStoreEntityTypeState, opts ...pulumi.ResourceOption) (*AiFeatureStoreEntityType, error)

GetAiFeatureStoreEntityType gets an existing AiFeatureStoreEntityType resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiFeatureStoreEntityType 

func NewAiFeatureStoreEntityType(ctx *pulumi.Context,
	name string, args *AiFeatureStoreEntityTypeArgs, opts ...pulumi.ResourceOption) (*AiFeatureStoreEntityType, error)

NewAiFeatureStoreEntityType registers a new resource with the given unique name, arguments, and options.

func (*AiFeatureStoreEntityType) ElementType 

func (*AiFeatureStoreEntityType) ElementType() reflect.Type

func (*AiFeatureStoreEntityType) ToAiFeatureStoreEntityTypeOutput 

func (i *AiFeatureStoreEntityType) ToAiFeatureStoreEntityTypeOutput() AiFeatureStoreEntityTypeOutput

func (*AiFeatureStoreEntityType) ToAiFeatureStoreEntityTypeOutputWithContext 

func (i *AiFeatureStoreEntityType) ToAiFeatureStoreEntityTypeOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeOutput

type AiFeatureStoreEntityTypeArgs 

type AiFeatureStoreEntityTypeArgs struct {
	// Optional. Description of the EntityType.
	Description pulumi.StringPtrInput
	// The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}.
	//
	// ***
	Featurestore pulumi.StringInput
	// A set of key/value label pairs to assign to this EntityType.
	//
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// The default monitoring configuration for all Features under this EntityType.
	// If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled.
	// Structure is documented below.
	MonitoringConfig AiFeatureStoreEntityTypeMonitoringConfigPtrInput
	// The name of the EntityType. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.
	Name pulumi.StringPtrInput
	// Config for data retention policy in offline storage. TTL in days for feature values that will be stored in offline storage. The Feature Store offline storage periodically removes obsolete feature values older than offlineStorageTtlDays since the feature generation time. If unset (or explicitly set to 0), default to 4000 days TTL.
	OfflineStorageTtlDays pulumi.IntPtrInput
}

The set of arguments for constructing a AiFeatureStoreEntityType resource.

func (AiFeatureStoreEntityTypeArgs) ElementType 

func (AiFeatureStoreEntityTypeArgs) ElementType() reflect.Type

type AiFeatureStoreEntityTypeArray 

type AiFeatureStoreEntityTypeArray []AiFeatureStoreEntityTypeInput

func (AiFeatureStoreEntityTypeArray) ElementType 

func (AiFeatureStoreEntityTypeArray) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeArray) ToAiFeatureStoreEntityTypeArrayOutput 

func (i AiFeatureStoreEntityTypeArray) ToAiFeatureStoreEntityTypeArrayOutput() AiFeatureStoreEntityTypeArrayOutput

func (AiFeatureStoreEntityTypeArray) ToAiFeatureStoreEntityTypeArrayOutputWithContext 

func (i AiFeatureStoreEntityTypeArray) ToAiFeatureStoreEntityTypeArrayOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeArrayOutput

type AiFeatureStoreEntityTypeArrayInput 

type AiFeatureStoreEntityTypeArrayInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeArrayOutput() AiFeatureStoreEntityTypeArrayOutput
	ToAiFeatureStoreEntityTypeArrayOutputWithContext(context.Context) AiFeatureStoreEntityTypeArrayOutput
}

AiFeatureStoreEntityTypeArrayInput is an input type that accepts AiFeatureStoreEntityTypeArray and AiFeatureStoreEntityTypeArrayOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeArrayInput` via: 

AiFeatureStoreEntityTypeArray{ AiFeatureStoreEntityTypeArgs{...} }

type AiFeatureStoreEntityTypeArrayOutput 

type AiFeatureStoreEntityTypeArrayOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeArrayOutput) ElementType 

func (AiFeatureStoreEntityTypeArrayOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeArrayOutput) Index 

func (o AiFeatureStoreEntityTypeArrayOutput) Index(i pulumi.IntInput) AiFeatureStoreEntityTypeOutput

func (AiFeatureStoreEntityTypeArrayOutput) ToAiFeatureStoreEntityTypeArrayOutput 

func (o AiFeatureStoreEntityTypeArrayOutput) ToAiFeatureStoreEntityTypeArrayOutput() AiFeatureStoreEntityTypeArrayOutput

func (AiFeatureStoreEntityTypeArrayOutput) ToAiFeatureStoreEntityTypeArrayOutputWithContext 

func (o AiFeatureStoreEntityTypeArrayOutput) ToAiFeatureStoreEntityTypeArrayOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeArrayOutput

type AiFeatureStoreEntityTypeFeature 

type AiFeatureStoreEntityTypeFeature struct {
	pulumi.CustomResourceState

	// The timestamp of when the entity type was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringOutput `pulumi:"createTime"`
	// Description of the feature.
	Description pulumi.StringPtrOutput `pulumi:"description"`
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapOutput `pulumi:"effectiveLabels"`
	// The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.
	//
	// ***
	Entitytype pulumi.StringOutput `pulumi:"entitytype"`
	// Used to perform consistent read-modify-write updates.
	Etag pulumi.StringOutput `pulumi:"etag"`
	// A set of key/value label pairs to assign to the feature.
	//
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapOutput `pulumi:"labels"`
	// The name of the feature. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.
	Name pulumi.StringOutput `pulumi:"name"`
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapOutput `pulumi:"pulumiLabels"`
	// The region of the feature
	Region pulumi.StringOutput `pulumi:"region"`
	// The timestamp when the entity type was most recently updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringOutput `pulumi:"updateTime"`
	// Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType
	ValueType pulumi.StringOutput `pulumi:"valueType"`
}

Feature Metadata information that describes an attribute of an entity type. For example, apple is an entity type, and color is a feature that describes apple.

To get more information about FeaturestoreEntitytypeFeature, see:

* [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features) * How-to Guides

## Example Usage

### Vertex Ai Featurestore Entitytype Feature

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		featurestore, err := vertex.NewAiFeatureStore(ctx, "featurestore", &vertex.AiFeatureStoreArgs{
			Name: pulumi.String("terraform"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			OnlineServingConfig: &vertex.AiFeatureStoreOnlineServingConfigArgs{
				FixedNodeCount: pulumi.Int(2),
			},
		})
		if err != nil {
			return err
		}
		entity, err := vertex.NewAiFeatureStoreEntityType(ctx, "entity", &vertex.AiFeatureStoreEntityTypeArgs{
			Name: pulumi.String("terraform"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Featurestore: featurestore.ID(),
		})
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureStoreEntityTypeFeature(ctx, "feature", &vertex.AiFeatureStoreEntityTypeFeatureArgs{
			Name: pulumi.String("terraform"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Entitytype: entity.ID(),
			ValueType:  pulumi.String("INT64_ARRAY"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

``` ### Vertex Ai Featurestore Entitytype Feature With Beta Fields

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		featurestore, err := vertex.NewAiFeatureStore(ctx, "featurestore", &vertex.AiFeatureStoreArgs{
			Name: pulumi.String("terraform2"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			OnlineServingConfig: &vertex.AiFeatureStoreOnlineServingConfigArgs{
				FixedNodeCount: pulumi.Int(2),
			},
		})
		if err != nil {
			return err
		}
		entity, err := vertex.NewAiFeatureStoreEntityType(ctx, "entity", &vertex.AiFeatureStoreEntityTypeArgs{
			Name: pulumi.String("terraform2"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Featurestore: featurestore.ID(),
			MonitoringConfig: &vertex.AiFeatureStoreEntityTypeMonitoringConfigArgs{
				SnapshotAnalysis: &vertex.AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs{
					Disabled:           pulumi.Bool(false),
					MonitoringInterval: pulumi.String("86400s"),
				},
				CategoricalThresholdConfig: &vertex.AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs{
					Value: pulumi.Float64(0.3),
				},
				NumericalThresholdConfig: &vertex.AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs{
					Value: pulumi.Float64(0.3),
				},
			},
		})
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureStoreEntityTypeFeature(ctx, "feature", &vertex.AiFeatureStoreEntityTypeFeatureArgs{
			Name: pulumi.String("terraform2"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Entitytype: entity.ID(),
			ValueType:  pulumi.String("INT64_ARRAY"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

```

## Import

FeaturestoreEntitytypeFeature can be imported using any of these accepted formats:

* `{{entitytype}}/features/{{name}}`

When using the `pulumi import` command, FeaturestoreEntitytypeFeature can be imported using one of the formats above. For example:

```sh $ pulumi import gcp:vertex/aiFeatureStoreEntityTypeFeature:AiFeatureStoreEntityTypeFeature default {{entitytype}}/features/{{name}} ```

func GetAiFeatureStoreEntityTypeFeature 

func GetAiFeatureStoreEntityTypeFeature(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiFeatureStoreEntityTypeFeatureState, opts ...pulumi.ResourceOption) (*AiFeatureStoreEntityTypeFeature, error)

GetAiFeatureStoreEntityTypeFeature gets an existing AiFeatureStoreEntityTypeFeature resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiFeatureStoreEntityTypeFeature 

func NewAiFeatureStoreEntityTypeFeature(ctx *pulumi.Context,
	name string, args *AiFeatureStoreEntityTypeFeatureArgs, opts ...pulumi.ResourceOption) (*AiFeatureStoreEntityTypeFeature, error)

NewAiFeatureStoreEntityTypeFeature registers a new resource with the given unique name, arguments, and options.

func (*AiFeatureStoreEntityTypeFeature) ElementType 

func (*AiFeatureStoreEntityTypeFeature) ElementType() reflect.Type

func (*AiFeatureStoreEntityTypeFeature) ToAiFeatureStoreEntityTypeFeatureOutput 

func (i *AiFeatureStoreEntityTypeFeature) ToAiFeatureStoreEntityTypeFeatureOutput() AiFeatureStoreEntityTypeFeatureOutput

func (*AiFeatureStoreEntityTypeFeature) ToAiFeatureStoreEntityTypeFeatureOutputWithContext 

func (i *AiFeatureStoreEntityTypeFeature) ToAiFeatureStoreEntityTypeFeatureOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeFeatureOutput

type AiFeatureStoreEntityTypeFeatureArgs 

type AiFeatureStoreEntityTypeFeatureArgs struct {
	// Description of the feature.
	Description pulumi.StringPtrInput
	// The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.
	//
	// ***
	Entitytype pulumi.StringInput
	// A set of key/value label pairs to assign to the feature.
	//
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// The name of the feature. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.
	Name pulumi.StringPtrInput
	// Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType
	ValueType pulumi.StringInput
}

The set of arguments for constructing a AiFeatureStoreEntityTypeFeature resource.

func (AiFeatureStoreEntityTypeFeatureArgs) ElementType 

func (AiFeatureStoreEntityTypeFeatureArgs) ElementType() reflect.Type

type AiFeatureStoreEntityTypeFeatureArray 

type AiFeatureStoreEntityTypeFeatureArray []AiFeatureStoreEntityTypeFeatureInput

func (AiFeatureStoreEntityTypeFeatureArray) ElementType 

func (AiFeatureStoreEntityTypeFeatureArray) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeFeatureArray) ToAiFeatureStoreEntityTypeFeatureArrayOutput 

func (i AiFeatureStoreEntityTypeFeatureArray) ToAiFeatureStoreEntityTypeFeatureArrayOutput() AiFeatureStoreEntityTypeFeatureArrayOutput

func (AiFeatureStoreEntityTypeFeatureArray) ToAiFeatureStoreEntityTypeFeatureArrayOutputWithContext 

func (i AiFeatureStoreEntityTypeFeatureArray) ToAiFeatureStoreEntityTypeFeatureArrayOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeFeatureArrayOutput

type AiFeatureStoreEntityTypeFeatureArrayInput 

type AiFeatureStoreEntityTypeFeatureArrayInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeFeatureArrayOutput() AiFeatureStoreEntityTypeFeatureArrayOutput
	ToAiFeatureStoreEntityTypeFeatureArrayOutputWithContext(context.Context) AiFeatureStoreEntityTypeFeatureArrayOutput
}

AiFeatureStoreEntityTypeFeatureArrayInput is an input type that accepts AiFeatureStoreEntityTypeFeatureArray and AiFeatureStoreEntityTypeFeatureArrayOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeFeatureArrayInput` via: 

AiFeatureStoreEntityTypeFeatureArray{ AiFeatureStoreEntityTypeFeatureArgs{...} }

type AiFeatureStoreEntityTypeFeatureArrayOutput 

type AiFeatureStoreEntityTypeFeatureArrayOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeFeatureArrayOutput) ElementType 

func (AiFeatureStoreEntityTypeFeatureArrayOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeFeatureArrayOutput) Index 

func (o AiFeatureStoreEntityTypeFeatureArrayOutput) Index(i pulumi.IntInput) AiFeatureStoreEntityTypeFeatureOutput

func (AiFeatureStoreEntityTypeFeatureArrayOutput) ToAiFeatureStoreEntityTypeFeatureArrayOutput 

func (o AiFeatureStoreEntityTypeFeatureArrayOutput) ToAiFeatureStoreEntityTypeFeatureArrayOutput() AiFeatureStoreEntityTypeFeatureArrayOutput

func (AiFeatureStoreEntityTypeFeatureArrayOutput) ToAiFeatureStoreEntityTypeFeatureArrayOutputWithContext 

func (o AiFeatureStoreEntityTypeFeatureArrayOutput) ToAiFeatureStoreEntityTypeFeatureArrayOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeFeatureArrayOutput

type AiFeatureStoreEntityTypeFeatureInput 

type AiFeatureStoreEntityTypeFeatureInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeFeatureOutput() AiFeatureStoreEntityTypeFeatureOutput
	ToAiFeatureStoreEntityTypeFeatureOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeFeatureOutput
}

type AiFeatureStoreEntityTypeFeatureMap 

type AiFeatureStoreEntityTypeFeatureMap map[string]AiFeatureStoreEntityTypeFeatureInput

func (AiFeatureStoreEntityTypeFeatureMap) ElementType 

func (AiFeatureStoreEntityTypeFeatureMap) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeFeatureMap) ToAiFeatureStoreEntityTypeFeatureMapOutput 

func (i AiFeatureStoreEntityTypeFeatureMap) ToAiFeatureStoreEntityTypeFeatureMapOutput() AiFeatureStoreEntityTypeFeatureMapOutput

func (AiFeatureStoreEntityTypeFeatureMap) ToAiFeatureStoreEntityTypeFeatureMapOutputWithContext 

func (i AiFeatureStoreEntityTypeFeatureMap) ToAiFeatureStoreEntityTypeFeatureMapOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeFeatureMapOutput

type AiFeatureStoreEntityTypeFeatureMapInput 

type AiFeatureStoreEntityTypeFeatureMapInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeFeatureMapOutput() AiFeatureStoreEntityTypeFeatureMapOutput
	ToAiFeatureStoreEntityTypeFeatureMapOutputWithContext(context.Context) AiFeatureStoreEntityTypeFeatureMapOutput
}

AiFeatureStoreEntityTypeFeatureMapInput is an input type that accepts AiFeatureStoreEntityTypeFeatureMap and AiFeatureStoreEntityTypeFeatureMapOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeFeatureMapInput` via: 

AiFeatureStoreEntityTypeFeatureMap{ "key": AiFeatureStoreEntityTypeFeatureArgs{...} }

type AiFeatureStoreEntityTypeFeatureMapOutput 

type AiFeatureStoreEntityTypeFeatureMapOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeFeatureMapOutput) ElementType 

func (AiFeatureStoreEntityTypeFeatureMapOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeFeatureMapOutput) MapIndex 

func (o AiFeatureStoreEntityTypeFeatureMapOutput) MapIndex(k pulumi.StringInput) AiFeatureStoreEntityTypeFeatureOutput

func (AiFeatureStoreEntityTypeFeatureMapOutput) ToAiFeatureStoreEntityTypeFeatureMapOutput 

func (o AiFeatureStoreEntityTypeFeatureMapOutput) ToAiFeatureStoreEntityTypeFeatureMapOutput() AiFeatureStoreEntityTypeFeatureMapOutput

func (AiFeatureStoreEntityTypeFeatureMapOutput) ToAiFeatureStoreEntityTypeFeatureMapOutputWithContext 

func (o AiFeatureStoreEntityTypeFeatureMapOutput) ToAiFeatureStoreEntityTypeFeatureMapOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeFeatureMapOutput

type AiFeatureStoreEntityTypeFeatureOutput 

type AiFeatureStoreEntityTypeFeatureOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeFeatureOutput) CreateTime 

func (o AiFeatureStoreEntityTypeFeatureOutput) CreateTime() pulumi.StringOutput

The timestamp of when the entity type was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

func (AiFeatureStoreEntityTypeFeatureOutput) Description 

func (o AiFeatureStoreEntityTypeFeatureOutput) Description() pulumi.StringPtrOutput

Description of the feature.

func (AiFeatureStoreEntityTypeFeatureOutput) EffectiveLabels 

func (o AiFeatureStoreEntityTypeFeatureOutput) EffectiveLabels() pulumi.StringMapOutput

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

func (AiFeatureStoreEntityTypeFeatureOutput) ElementType 

func (AiFeatureStoreEntityTypeFeatureOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeFeatureOutput) Entitytype 

func (o AiFeatureStoreEntityTypeFeatureOutput) Entitytype() pulumi.StringOutput

The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

***

func (AiFeatureStoreEntityTypeFeatureOutput) Etag 

func (o AiFeatureStoreEntityTypeFeatureOutput) Etag() pulumi.StringOutput

Used to perform consistent read-modify-write updates.

func (AiFeatureStoreEntityTypeFeatureOutput) Labels 

func (o AiFeatureStoreEntityTypeFeatureOutput) Labels() pulumi.StringMapOutput

A set of key/value label pairs to assign to the feature.

**Note**: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field `effectiveLabels` for all of the labels present on the resource.

func (AiFeatureStoreEntityTypeFeatureOutput) Name 

func (o AiFeatureStoreEntityTypeFeatureOutput) Name() pulumi.StringOutput

The name of the feature. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.

func (AiFeatureStoreEntityTypeFeatureOutput) PulumiLabels 

func (o AiFeatureStoreEntityTypeFeatureOutput) PulumiLabels() pulumi.StringMapOutput

The combination of labels configured directly on the resource and default labels configured on the provider.

func (AiFeatureStoreEntityTypeFeatureOutput) Region 

func (o AiFeatureStoreEntityTypeFeatureOutput) Region() pulumi.StringOutput

The region of the feature

func (AiFeatureStoreEntityTypeFeatureOutput) ToAiFeatureStoreEntityTypeFeatureOutput 

func (o AiFeatureStoreEntityTypeFeatureOutput) ToAiFeatureStoreEntityTypeFeatureOutput() AiFeatureStoreEntityTypeFeatureOutput

func (AiFeatureStoreEntityTypeFeatureOutput) ToAiFeatureStoreEntityTypeFeatureOutputWithContext 

func (o AiFeatureStoreEntityTypeFeatureOutput) ToAiFeatureStoreEntityTypeFeatureOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeFeatureOutput

func (AiFeatureStoreEntityTypeFeatureOutput) UpdateTime 

func (o AiFeatureStoreEntityTypeFeatureOutput) UpdateTime() pulumi.StringOutput

The timestamp when the entity type was most recently updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

func (AiFeatureStoreEntityTypeFeatureOutput) ValueType 

func (o AiFeatureStoreEntityTypeFeatureOutput) ValueType() pulumi.StringOutput

Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType

type AiFeatureStoreEntityTypeFeatureState 

type AiFeatureStoreEntityTypeFeatureState struct {
	// The timestamp of when the entity type was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringPtrInput
	// Description of the feature.
	Description pulumi.StringPtrInput
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapInput
	// The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.
	//
	// ***
	Entitytype pulumi.StringPtrInput
	// Used to perform consistent read-modify-write updates.
	Etag pulumi.StringPtrInput
	// A set of key/value label pairs to assign to the feature.
	//
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// The name of the feature. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.
	Name pulumi.StringPtrInput
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapInput
	// The region of the feature
	Region pulumi.StringPtrInput
	// The timestamp when the entity type was most recently updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringPtrInput
	// Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType
	ValueType pulumi.StringPtrInput
}

func (AiFeatureStoreEntityTypeFeatureState) ElementType 

func (AiFeatureStoreEntityTypeFeatureState) ElementType() reflect.Type

type AiFeatureStoreEntityTypeIamBinding 

type AiFeatureStoreEntityTypeIamBinding struct {
	pulumi.CustomResourceState

	Condition AiFeatureStoreEntityTypeIamBindingConditionPtrOutput `pulumi:"condition"`
	// Used to find the parent resource to bind the IAM policy to
	Entitytype pulumi.StringOutput `pulumi:"entitytype"`
	// (Computed) The etag of the IAM policy.
	Etag pulumi.StringOutput `pulumi:"etag"`
	// The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringOutput `pulumi:"featurestore"`
	// Identities that will be granted the privilege in `role`.
	// Each entry can have one of the following values:
	// * **allUsers**: A special identifier that represents anyone who is on the internet; with or without a Google account.
	// * **allAuthenticatedUsers**: A special identifier that represents anyone who is authenticated with a Google account or a service account.
	// * **user:{emailid}**: An email address that represents a specific Google account. For example, alice@gmail.com or joe@example.com.
	// * **serviceAccount:{emailid}**: An email address that represents a service account. For example, my-other-app@appspot.gserviceaccount.com.
	// * **group:{emailid}**: An email address that represents a Google group. For example, admins@example.com.
	// * **domain:{domain}**: A G Suite domain (primary, instead of alias) name that represents all the users of that domain. For example, google.com or example.com.
	// * **projectOwner:projectid**: Owners of the given project. For example, "projectOwner:my-example-project"
	// * **projectEditor:projectid**: Editors of the given project. For example, "projectEditor:my-example-project"
	// * **projectViewer:projectid**: Viewers of the given project. For example, "projectViewer:my-example-project"
	Members pulumi.StringArrayOutput `pulumi:"members"`
	// The role that should be applied. Only one
	// `vertex.AiFeatureStoreEntityTypeIamBinding` can be used per role. Note that custom roles must be of the format
	// `[projects|organizations]/{parent-name}/roles/{role-name}`.
	Role pulumi.StringOutput `pulumi:"role"`
}

## Import

For all import syntaxes, the "resource in question" can take any of the following forms:

* {{featurestore}}/entityTypes/{{name}}

* {{name}}

Any variables not passed in the import command will be taken from the provider configuration.

Vertex AI featurestoreentitytype IAM resources can be imported using the resource identifiers, role, and member.

IAM member imports use space-delimited identifiers: the resource in question, the role, and the member identity, e.g.

```sh $ pulumi import gcp:vertex/aiFeatureStoreEntityTypeIamBinding:AiFeatureStoreEntityTypeIamBinding editor "{{featurestore}}/entityTypes/{{featurestore_entitytype}} roles/viewer user:jane@example.com" ```

IAM binding imports use space-delimited identifiers: the resource in question and the role, e.g.

```sh $ pulumi import gcp:vertex/aiFeatureStoreEntityTypeIamBinding:AiFeatureStoreEntityTypeIamBinding editor "{{featurestore}}/entityTypes/{{featurestore_entitytype}} roles/viewer" ```

IAM policy imports use the identifier of the resource in question, e.g.

```sh $ pulumi import gcp:vertex/aiFeatureStoreEntityTypeIamBinding:AiFeatureStoreEntityTypeIamBinding editor {{featurestore}}/entityTypes/{{featurestore_entitytype}} ```

-> **Custom Roles** If you're importing a IAM resource with a custom role, make sure to use the 

full name of the custom role, e.g. `[projects/my-project|organizations/my-org]/roles/my-custom-role`.

func GetAiFeatureStoreEntityTypeIamBinding 

func GetAiFeatureStoreEntityTypeIamBinding(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiFeatureStoreEntityTypeIamBindingState, opts ...pulumi.ResourceOption) (*AiFeatureStoreEntityTypeIamBinding, error)

GetAiFeatureStoreEntityTypeIamBinding gets an existing AiFeatureStoreEntityTypeIamBinding resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiFeatureStoreEntityTypeIamBinding 

func NewAiFeatureStoreEntityTypeIamBinding(ctx *pulumi.Context,
	name string, args *AiFeatureStoreEntityTypeIamBindingArgs, opts ...pulumi.ResourceOption) (*AiFeatureStoreEntityTypeIamBinding, error)

NewAiFeatureStoreEntityTypeIamBinding registers a new resource with the given unique name, arguments, and options.

func (*AiFeatureStoreEntityTypeIamBinding) ElementType 

func (*AiFeatureStoreEntityTypeIamBinding) ElementType() reflect.Type

func (*AiFeatureStoreEntityTypeIamBinding) ToAiFeatureStoreEntityTypeIamBindingOutput 

func (i *AiFeatureStoreEntityTypeIamBinding) ToAiFeatureStoreEntityTypeIamBindingOutput() AiFeatureStoreEntityTypeIamBindingOutput

func (*AiFeatureStoreEntityTypeIamBinding) ToAiFeatureStoreEntityTypeIamBindingOutputWithContext 

func (i *AiFeatureStoreEntityTypeIamBinding) ToAiFeatureStoreEntityTypeIamBindingOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamBindingOutput

type AiFeatureStoreEntityTypeIamBindingArgs 

type AiFeatureStoreEntityTypeIamBindingArgs struct {
	Condition AiFeatureStoreEntityTypeIamBindingConditionPtrInput
	// Used to find the parent resource to bind the IAM policy to
	Entitytype pulumi.StringInput
	// The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringInput
	// Identities that will be granted the privilege in `role`.
	// Each entry can have one of the following values:
	// * **allUsers**: A special identifier that represents anyone who is on the internet; with or without a Google account.
	// * **allAuthenticatedUsers**: A special identifier that represents anyone who is authenticated with a Google account or a service account.
	// * **user:{emailid}**: An email address that represents a specific Google account. For example, alice@gmail.com or joe@example.com.
	// * **serviceAccount:{emailid}**: An email address that represents a service account. For example, my-other-app@appspot.gserviceaccount.com.
	// * **group:{emailid}**: An email address that represents a Google group. For example, admins@example.com.
	// * **domain:{domain}**: A G Suite domain (primary, instead of alias) name that represents all the users of that domain. For example, google.com or example.com.
	// * **projectOwner:projectid**: Owners of the given project. For example, "projectOwner:my-example-project"
	// * **projectEditor:projectid**: Editors of the given project. For example, "projectEditor:my-example-project"
	// * **projectViewer:projectid**: Viewers of the given project. For example, "projectViewer:my-example-project"
	Members pulumi.StringArrayInput
	// The role that should be applied. Only one
	// `vertex.AiFeatureStoreEntityTypeIamBinding` can be used per role. Note that custom roles must be of the format
	// `[projects|organizations]/{parent-name}/roles/{role-name}`.
	Role pulumi.StringInput
}

The set of arguments for constructing a AiFeatureStoreEntityTypeIamBinding resource.

func (AiFeatureStoreEntityTypeIamBindingArgs) ElementType 

func (AiFeatureStoreEntityTypeIamBindingArgs) ElementType() reflect.Type

type AiFeatureStoreEntityTypeIamBindingArray 

type AiFeatureStoreEntityTypeIamBindingArray []AiFeatureStoreEntityTypeIamBindingInput

func (AiFeatureStoreEntityTypeIamBindingArray) ElementType 

func (AiFeatureStoreEntityTypeIamBindingArray) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamBindingArray) ToAiFeatureStoreEntityTypeIamBindingArrayOutput 

func (i AiFeatureStoreEntityTypeIamBindingArray) ToAiFeatureStoreEntityTypeIamBindingArrayOutput() AiFeatureStoreEntityTypeIamBindingArrayOutput

func (AiFeatureStoreEntityTypeIamBindingArray) ToAiFeatureStoreEntityTypeIamBindingArrayOutputWithContext 

func (i AiFeatureStoreEntityTypeIamBindingArray) ToAiFeatureStoreEntityTypeIamBindingArrayOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamBindingArrayOutput

type AiFeatureStoreEntityTypeIamBindingArrayInput 

type AiFeatureStoreEntityTypeIamBindingArrayInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeIamBindingArrayOutput() AiFeatureStoreEntityTypeIamBindingArrayOutput
	ToAiFeatureStoreEntityTypeIamBindingArrayOutputWithContext(context.Context) AiFeatureStoreEntityTypeIamBindingArrayOutput
}

AiFeatureStoreEntityTypeIamBindingArrayInput is an input type that accepts AiFeatureStoreEntityTypeIamBindingArray and AiFeatureStoreEntityTypeIamBindingArrayOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeIamBindingArrayInput` via: 

AiFeatureStoreEntityTypeIamBindingArray{ AiFeatureStoreEntityTypeIamBindingArgs{...} }

type AiFeatureStoreEntityTypeIamBindingArrayOutput 

type AiFeatureStoreEntityTypeIamBindingArrayOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeIamBindingArrayOutput) ElementType 

func (AiFeatureStoreEntityTypeIamBindingArrayOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamBindingArrayOutput) Index 

func (o AiFeatureStoreEntityTypeIamBindingArrayOutput) Index(i pulumi.IntInput) AiFeatureStoreEntityTypeIamBindingOutput

func (AiFeatureStoreEntityTypeIamBindingArrayOutput) ToAiFeatureStoreEntityTypeIamBindingArrayOutput 

func (o AiFeatureStoreEntityTypeIamBindingArrayOutput) ToAiFeatureStoreEntityTypeIamBindingArrayOutput() AiFeatureStoreEntityTypeIamBindingArrayOutput

func (AiFeatureStoreEntityTypeIamBindingArrayOutput) ToAiFeatureStoreEntityTypeIamBindingArrayOutputWithContext 

func (o AiFeatureStoreEntityTypeIamBindingArrayOutput) ToAiFeatureStoreEntityTypeIamBindingArrayOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamBindingArrayOutput

type AiFeatureStoreEntityTypeIamBindingCondition 

type AiFeatureStoreEntityTypeIamBindingCondition struct {
	Description *string `pulumi:"description"`
	Expression  string  `pulumi:"expression"`
	Title       string  `pulumi:"title"`
}

type AiFeatureStoreEntityTypeIamBindingConditionArgs 

type AiFeatureStoreEntityTypeIamBindingConditionArgs struct {
	Description pulumi.StringPtrInput `pulumi:"description"`
	Expression  pulumi.StringInput    `pulumi:"expression"`
	Title       pulumi.StringInput    `pulumi:"title"`
}

func (AiFeatureStoreEntityTypeIamBindingConditionArgs) ElementType 

func (AiFeatureStoreEntityTypeIamBindingConditionArgs) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamBindingConditionArgs) ToAiFeatureStoreEntityTypeIamBindingConditionOutput 

func (i AiFeatureStoreEntityTypeIamBindingConditionArgs) ToAiFeatureStoreEntityTypeIamBindingConditionOutput() AiFeatureStoreEntityTypeIamBindingConditionOutput

func (AiFeatureStoreEntityTypeIamBindingConditionArgs) ToAiFeatureStoreEntityTypeIamBindingConditionOutputWithContext 

func (i AiFeatureStoreEntityTypeIamBindingConditionArgs) ToAiFeatureStoreEntityTypeIamBindingConditionOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamBindingConditionOutput

func (AiFeatureStoreEntityTypeIamBindingConditionArgs) ToAiFeatureStoreEntityTypeIamBindingConditionPtrOutput 

func (i AiFeatureStoreEntityTypeIamBindingConditionArgs) ToAiFeatureStoreEntityTypeIamBindingConditionPtrOutput() AiFeatureStoreEntityTypeIamBindingConditionPtrOutput

func (AiFeatureStoreEntityTypeIamBindingConditionArgs) ToAiFeatureStoreEntityTypeIamBindingConditionPtrOutputWithContext 

func (i AiFeatureStoreEntityTypeIamBindingConditionArgs) ToAiFeatureStoreEntityTypeIamBindingConditionPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamBindingConditionPtrOutput

type AiFeatureStoreEntityTypeIamBindingConditionInput 

type AiFeatureStoreEntityTypeIamBindingConditionInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeIamBindingConditionOutput() AiFeatureStoreEntityTypeIamBindingConditionOutput
	ToAiFeatureStoreEntityTypeIamBindingConditionOutputWithContext(context.Context) AiFeatureStoreEntityTypeIamBindingConditionOutput
}

AiFeatureStoreEntityTypeIamBindingConditionInput is an input type that accepts AiFeatureStoreEntityTypeIamBindingConditionArgs and AiFeatureStoreEntityTypeIamBindingConditionOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeIamBindingConditionInput` via: 

AiFeatureStoreEntityTypeIamBindingConditionArgs{...}

type AiFeatureStoreEntityTypeIamBindingConditionOutput 

type AiFeatureStoreEntityTypeIamBindingConditionOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeIamBindingConditionOutput) Description 

func (o AiFeatureStoreEntityTypeIamBindingConditionOutput) Description() pulumi.StringPtrOutput

func (AiFeatureStoreEntityTypeIamBindingConditionOutput) ElementType 

func (AiFeatureStoreEntityTypeIamBindingConditionOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamBindingConditionOutput) Expression 

func (o AiFeatureStoreEntityTypeIamBindingConditionOutput) Expression() pulumi.StringOutput

func (AiFeatureStoreEntityTypeIamBindingConditionOutput) Title 

func (o AiFeatureStoreEntityTypeIamBindingConditionOutput) Title() pulumi.StringOutput

func (AiFeatureStoreEntityTypeIamBindingConditionOutput) ToAiFeatureStoreEntityTypeIamBindingConditionOutput 

func (o AiFeatureStoreEntityTypeIamBindingConditionOutput) ToAiFeatureStoreEntityTypeIamBindingConditionOutput() AiFeatureStoreEntityTypeIamBindingConditionOutput

func (AiFeatureStoreEntityTypeIamBindingConditionOutput) ToAiFeatureStoreEntityTypeIamBindingConditionOutputWithContext 

func (o AiFeatureStoreEntityTypeIamBindingConditionOutput) ToAiFeatureStoreEntityTypeIamBindingConditionOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamBindingConditionOutput

func (AiFeatureStoreEntityTypeIamBindingConditionOutput) ToAiFeatureStoreEntityTypeIamBindingConditionPtrOutput 

func (o AiFeatureStoreEntityTypeIamBindingConditionOutput) ToAiFeatureStoreEntityTypeIamBindingConditionPtrOutput() AiFeatureStoreEntityTypeIamBindingConditionPtrOutput

func (AiFeatureStoreEntityTypeIamBindingConditionOutput) ToAiFeatureStoreEntityTypeIamBindingConditionPtrOutputWithContext 

func (o AiFeatureStoreEntityTypeIamBindingConditionOutput) ToAiFeatureStoreEntityTypeIamBindingConditionPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamBindingConditionPtrOutput

type AiFeatureStoreEntityTypeIamBindingConditionPtrInput 

type AiFeatureStoreEntityTypeIamBindingConditionPtrInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeIamBindingConditionPtrOutput() AiFeatureStoreEntityTypeIamBindingConditionPtrOutput
	ToAiFeatureStoreEntityTypeIamBindingConditionPtrOutputWithContext(context.Context) AiFeatureStoreEntityTypeIamBindingConditionPtrOutput
}

AiFeatureStoreEntityTypeIamBindingConditionPtrInput is an input type that accepts AiFeatureStoreEntityTypeIamBindingConditionArgs, AiFeatureStoreEntityTypeIamBindingConditionPtr and AiFeatureStoreEntityTypeIamBindingConditionPtrOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeIamBindingConditionPtrInput` via: 

        AiFeatureStoreEntityTypeIamBindingConditionArgs{...}

or:

        nil

func AiFeatureStoreEntityTypeIamBindingConditionPtr 

func AiFeatureStoreEntityTypeIamBindingConditionPtr(v *AiFeatureStoreEntityTypeIamBindingConditionArgs) AiFeatureStoreEntityTypeIamBindingConditionPtrInput

type AiFeatureStoreEntityTypeIamBindingConditionPtrOutput 

type AiFeatureStoreEntityTypeIamBindingConditionPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeIamBindingConditionPtrOutput) Description 

func (o AiFeatureStoreEntityTypeIamBindingConditionPtrOutput) Description() pulumi.StringPtrOutput

func (AiFeatureStoreEntityTypeIamBindingConditionPtrOutput) Elem 

func (o AiFeatureStoreEntityTypeIamBindingConditionPtrOutput) Elem() AiFeatureStoreEntityTypeIamBindingConditionOutput

func (AiFeatureStoreEntityTypeIamBindingConditionPtrOutput) ElementType 

func (AiFeatureStoreEntityTypeIamBindingConditionPtrOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamBindingConditionPtrOutput) Expression 

func (o AiFeatureStoreEntityTypeIamBindingConditionPtrOutput) Expression() pulumi.StringPtrOutput

func (AiFeatureStoreEntityTypeIamBindingConditionPtrOutput) Title 

func (o AiFeatureStoreEntityTypeIamBindingConditionPtrOutput) Title() pulumi.StringPtrOutput

func (AiFeatureStoreEntityTypeIamBindingConditionPtrOutput) ToAiFeatureStoreEntityTypeIamBindingConditionPtrOutput 

func (o AiFeatureStoreEntityTypeIamBindingConditionPtrOutput) ToAiFeatureStoreEntityTypeIamBindingConditionPtrOutput() AiFeatureStoreEntityTypeIamBindingConditionPtrOutput

func (AiFeatureStoreEntityTypeIamBindingConditionPtrOutput) ToAiFeatureStoreEntityTypeIamBindingConditionPtrOutputWithContext 

func (o AiFeatureStoreEntityTypeIamBindingConditionPtrOutput) ToAiFeatureStoreEntityTypeIamBindingConditionPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamBindingConditionPtrOutput

type AiFeatureStoreEntityTypeIamBindingInput 

type AiFeatureStoreEntityTypeIamBindingInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeIamBindingOutput() AiFeatureStoreEntityTypeIamBindingOutput
	ToAiFeatureStoreEntityTypeIamBindingOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamBindingOutput
}

type AiFeatureStoreEntityTypeIamBindingMap 

type AiFeatureStoreEntityTypeIamBindingMap map[string]AiFeatureStoreEntityTypeIamBindingInput

func (AiFeatureStoreEntityTypeIamBindingMap) ElementType 

func (AiFeatureStoreEntityTypeIamBindingMap) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamBindingMap) ToAiFeatureStoreEntityTypeIamBindingMapOutput 

func (i AiFeatureStoreEntityTypeIamBindingMap) ToAiFeatureStoreEntityTypeIamBindingMapOutput() AiFeatureStoreEntityTypeIamBindingMapOutput

func (AiFeatureStoreEntityTypeIamBindingMap) ToAiFeatureStoreEntityTypeIamBindingMapOutputWithContext 

func (i AiFeatureStoreEntityTypeIamBindingMap) ToAiFeatureStoreEntityTypeIamBindingMapOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamBindingMapOutput

type AiFeatureStoreEntityTypeIamBindingMapInput 

type AiFeatureStoreEntityTypeIamBindingMapInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeIamBindingMapOutput() AiFeatureStoreEntityTypeIamBindingMapOutput
	ToAiFeatureStoreEntityTypeIamBindingMapOutputWithContext(context.Context) AiFeatureStoreEntityTypeIamBindingMapOutput
}

AiFeatureStoreEntityTypeIamBindingMapInput is an input type that accepts AiFeatureStoreEntityTypeIamBindingMap and AiFeatureStoreEntityTypeIamBindingMapOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeIamBindingMapInput` via: 

AiFeatureStoreEntityTypeIamBindingMap{ "key": AiFeatureStoreEntityTypeIamBindingArgs{...} }

type AiFeatureStoreEntityTypeIamBindingMapOutput 

type AiFeatureStoreEntityTypeIamBindingMapOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeIamBindingMapOutput) ElementType 

func (AiFeatureStoreEntityTypeIamBindingMapOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamBindingMapOutput) MapIndex 

func (o AiFeatureStoreEntityTypeIamBindingMapOutput) MapIndex(k pulumi.StringInput) AiFeatureStoreEntityTypeIamBindingOutput

func (AiFeatureStoreEntityTypeIamBindingMapOutput) ToAiFeatureStoreEntityTypeIamBindingMapOutput 

func (o AiFeatureStoreEntityTypeIamBindingMapOutput) ToAiFeatureStoreEntityTypeIamBindingMapOutput() AiFeatureStoreEntityTypeIamBindingMapOutput

func (AiFeatureStoreEntityTypeIamBindingMapOutput) ToAiFeatureStoreEntityTypeIamBindingMapOutputWithContext 

func (o AiFeatureStoreEntityTypeIamBindingMapOutput) ToAiFeatureStoreEntityTypeIamBindingMapOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamBindingMapOutput

type AiFeatureStoreEntityTypeIamBindingOutput 

type AiFeatureStoreEntityTypeIamBindingOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeIamBindingOutput) Condition 

func (o AiFeatureStoreEntityTypeIamBindingOutput) Condition() AiFeatureStoreEntityTypeIamBindingConditionPtrOutput

func (AiFeatureStoreEntityTypeIamBindingOutput) ElementType 

func (AiFeatureStoreEntityTypeIamBindingOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamBindingOutput) Entitytype 

func (o AiFeatureStoreEntityTypeIamBindingOutput) Entitytype() pulumi.StringOutput

Used to find the parent resource to bind the IAM policy to

func (AiFeatureStoreEntityTypeIamBindingOutput) Etag 

func (o AiFeatureStoreEntityTypeIamBindingOutput) Etag() pulumi.StringOutput

(Computed) The etag of the IAM policy.

func (AiFeatureStoreEntityTypeIamBindingOutput) Featurestore 

func (o AiFeatureStoreEntityTypeIamBindingOutput) Featurestore() pulumi.StringOutput

The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to

func (AiFeatureStoreEntityTypeIamBindingOutput) Members 

func (o AiFeatureStoreEntityTypeIamBindingOutput) Members() pulumi.StringArrayOutput

Identities that will be granted the privilege in `role`. Each entry can have one of the following values: * **allUsers**: A special identifier that represents anyone who is on the internet; with or without a Google account. * **allAuthenticatedUsers**: A special identifier that represents anyone who is authenticated with a Google account or a service account. * **user:{emailid}**: An email address that represents a specific Google account. For example, alice@gmail.com or joe@example.com. * **serviceAccount:{emailid}**: An email address that represents a service account. For example, my-other-app@appspot.gserviceaccount.com. * **group:{emailid}**: An email address that represents a Google group. For example, admins@example.com. * **domain:{domain}**: A G Suite domain (primary, instead of alias) name that represents all the users of that domain. For example, google.com or example.com. * **projectOwner:projectid**: Owners of the given project. For example, "projectOwner:my-example-project" * **projectEditor:projectid**: Editors of the given project. For example, "projectEditor:my-example-project" * **projectViewer:projectid**: Viewers of the given project. For example, "projectViewer:my-example-project"

func (AiFeatureStoreEntityTypeIamBindingOutput) Role 

func (o AiFeatureStoreEntityTypeIamBindingOutput) Role() pulumi.StringOutput

The role that should be applied. Only one `vertex.AiFeatureStoreEntityTypeIamBinding` can be used per role. Note that custom roles must be of the format `[projects|organizations]/{parent-name}/roles/{role-name}`.

func (AiFeatureStoreEntityTypeIamBindingOutput) ToAiFeatureStoreEntityTypeIamBindingOutput 

func (o AiFeatureStoreEntityTypeIamBindingOutput) ToAiFeatureStoreEntityTypeIamBindingOutput() AiFeatureStoreEntityTypeIamBindingOutput

func (AiFeatureStoreEntityTypeIamBindingOutput) ToAiFeatureStoreEntityTypeIamBindingOutputWithContext 

func (o AiFeatureStoreEntityTypeIamBindingOutput) ToAiFeatureStoreEntityTypeIamBindingOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamBindingOutput

type AiFeatureStoreEntityTypeIamBindingState 

type AiFeatureStoreEntityTypeIamBindingState struct {
	Condition AiFeatureStoreEntityTypeIamBindingConditionPtrInput
	// Used to find the parent resource to bind the IAM policy to
	Entitytype pulumi.StringPtrInput
	// (Computed) The etag of the IAM policy.
	Etag pulumi.StringPtrInput
	// The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringPtrInput
	// Identities that will be granted the privilege in `role`.
	// Each entry can have one of the following values:
	// * **allUsers**: A special identifier that represents anyone who is on the internet; with or without a Google account.
	// * **allAuthenticatedUsers**: A special identifier that represents anyone who is authenticated with a Google account or a service account.
	// * **user:{emailid}**: An email address that represents a specific Google account. For example, alice@gmail.com or joe@example.com.
	// * **serviceAccount:{emailid}**: An email address that represents a service account. For example, my-other-app@appspot.gserviceaccount.com.
	// * **group:{emailid}**: An email address that represents a Google group. For example, admins@example.com.
	// * **domain:{domain}**: A G Suite domain (primary, instead of alias) name that represents all the users of that domain. For example, google.com or example.com.
	// * **projectOwner:projectid**: Owners of the given project. For example, "projectOwner:my-example-project"
	// * **projectEditor:projectid**: Editors of the given project. For example, "projectEditor:my-example-project"
	// * **projectViewer:projectid**: Viewers of the given project. For example, "projectViewer:my-example-project"
	Members pulumi.StringArrayInput
	// The role that should be applied. Only one
	// `vertex.AiFeatureStoreEntityTypeIamBinding` can be used per role. Note that custom roles must be of the format
	// `[projects|organizations]/{parent-name}/roles/{role-name}`.
	Role pulumi.StringPtrInput
}

func (AiFeatureStoreEntityTypeIamBindingState) ElementType 

func (AiFeatureStoreEntityTypeIamBindingState) ElementType() reflect.Type

type AiFeatureStoreEntityTypeIamMember 

type AiFeatureStoreEntityTypeIamMember struct {
	pulumi.CustomResourceState

	Condition AiFeatureStoreEntityTypeIamMemberConditionPtrOutput `pulumi:"condition"`
	// Used to find the parent resource to bind the IAM policy to
	Entitytype pulumi.StringOutput `pulumi:"entitytype"`
	// (Computed) The etag of the IAM policy.
	Etag pulumi.StringOutput `pulumi:"etag"`
	// The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringOutput `pulumi:"featurestore"`
	// Identities that will be granted the privilege in `role`.
	// Each entry can have one of the following values:
	// * **allUsers**: A special identifier that represents anyone who is on the internet; with or without a Google account.
	// * **allAuthenticatedUsers**: A special identifier that represents anyone who is authenticated with a Google account or a service account.
	// * **user:{emailid}**: An email address that represents a specific Google account. For example, alice@gmail.com or joe@example.com.
	// * **serviceAccount:{emailid}**: An email address that represents a service account. For example, my-other-app@appspot.gserviceaccount.com.
	// * **group:{emailid}**: An email address that represents a Google group. For example, admins@example.com.
	// * **domain:{domain}**: A G Suite domain (primary, instead of alias) name that represents all the users of that domain. For example, google.com or example.com.
	// * **projectOwner:projectid**: Owners of the given project. For example, "projectOwner:my-example-project"
	// * **projectEditor:projectid**: Editors of the given project. For example, "projectEditor:my-example-project"
	// * **projectViewer:projectid**: Viewers of the given project. For example, "projectViewer:my-example-project"
	Member pulumi.StringOutput `pulumi:"member"`
	// The role that should be applied. Only one
	// `vertex.AiFeatureStoreEntityTypeIamBinding` can be used per role. Note that custom roles must be of the format
	// `[projects|organizations]/{parent-name}/roles/{role-name}`.
	Role pulumi.StringOutput `pulumi:"role"`
}

## Import

For all import syntaxes, the "resource in question" can take any of the following forms:

* {{featurestore}}/entityTypes/{{name}}

* {{name}}

Any variables not passed in the import command will be taken from the provider configuration.

Vertex AI featurestoreentitytype IAM resources can be imported using the resource identifiers, role, and member.

IAM member imports use space-delimited identifiers: the resource in question, the role, and the member identity, e.g.

```sh $ pulumi import gcp:vertex/aiFeatureStoreEntityTypeIamMember:AiFeatureStoreEntityTypeIamMember editor "{{featurestore}}/entityTypes/{{featurestore_entitytype}} roles/viewer user:jane@example.com" ```

IAM binding imports use space-delimited identifiers: the resource in question and the role, e.g.

```sh $ pulumi import gcp:vertex/aiFeatureStoreEntityTypeIamMember:AiFeatureStoreEntityTypeIamMember editor "{{featurestore}}/entityTypes/{{featurestore_entitytype}} roles/viewer" ```

IAM policy imports use the identifier of the resource in question, e.g.

```sh $ pulumi import gcp:vertex/aiFeatureStoreEntityTypeIamMember:AiFeatureStoreEntityTypeIamMember editor {{featurestore}}/entityTypes/{{featurestore_entitytype}} ```

-> **Custom Roles** If you're importing a IAM resource with a custom role, make sure to use the 

full name of the custom role, e.g. `[projects/my-project|organizations/my-org]/roles/my-custom-role`.

func GetAiFeatureStoreEntityTypeIamMember 

func GetAiFeatureStoreEntityTypeIamMember(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiFeatureStoreEntityTypeIamMemberState, opts ...pulumi.ResourceOption) (*AiFeatureStoreEntityTypeIamMember, error)

GetAiFeatureStoreEntityTypeIamMember gets an existing AiFeatureStoreEntityTypeIamMember resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiFeatureStoreEntityTypeIamMember 

func NewAiFeatureStoreEntityTypeIamMember(ctx *pulumi.Context,
	name string, args *AiFeatureStoreEntityTypeIamMemberArgs, opts ...pulumi.ResourceOption) (*AiFeatureStoreEntityTypeIamMember, error)

NewAiFeatureStoreEntityTypeIamMember registers a new resource with the given unique name, arguments, and options.

func (*AiFeatureStoreEntityTypeIamMember) ElementType 

func (*AiFeatureStoreEntityTypeIamMember) ElementType() reflect.Type

func (*AiFeatureStoreEntityTypeIamMember) ToAiFeatureStoreEntityTypeIamMemberOutput 

func (i *AiFeatureStoreEntityTypeIamMember) ToAiFeatureStoreEntityTypeIamMemberOutput() AiFeatureStoreEntityTypeIamMemberOutput

func (*AiFeatureStoreEntityTypeIamMember) ToAiFeatureStoreEntityTypeIamMemberOutputWithContext 

func (i *AiFeatureStoreEntityTypeIamMember) ToAiFeatureStoreEntityTypeIamMemberOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamMemberOutput

type AiFeatureStoreEntityTypeIamMemberArgs 

type AiFeatureStoreEntityTypeIamMemberArgs struct {
	Condition AiFeatureStoreEntityTypeIamMemberConditionPtrInput
	// Used to find the parent resource to bind the IAM policy to
	Entitytype pulumi.StringInput
	// The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringInput
	// Identities that will be granted the privilege in `role`.
	// Each entry can have one of the following values:
	// * **allUsers**: A special identifier that represents anyone who is on the internet; with or without a Google account.
	// * **allAuthenticatedUsers**: A special identifier that represents anyone who is authenticated with a Google account or a service account.
	// * **user:{emailid}**: An email address that represents a specific Google account. For example, alice@gmail.com or joe@example.com.
	// * **serviceAccount:{emailid}**: An email address that represents a service account. For example, my-other-app@appspot.gserviceaccount.com.
	// * **group:{emailid}**: An email address that represents a Google group. For example, admins@example.com.
	// * **domain:{domain}**: A G Suite domain (primary, instead of alias) name that represents all the users of that domain. For example, google.com or example.com.
	// * **projectOwner:projectid**: Owners of the given project. For example, "projectOwner:my-example-project"
	// * **projectEditor:projectid**: Editors of the given project. For example, "projectEditor:my-example-project"
	// * **projectViewer:projectid**: Viewers of the given project. For example, "projectViewer:my-example-project"
	Member pulumi.StringInput
	// The role that should be applied. Only one
	// `vertex.AiFeatureStoreEntityTypeIamBinding` can be used per role. Note that custom roles must be of the format
	// `[projects|organizations]/{parent-name}/roles/{role-name}`.
	Role pulumi.StringInput
}

The set of arguments for constructing a AiFeatureStoreEntityTypeIamMember resource.

func (AiFeatureStoreEntityTypeIamMemberArgs) ElementType 

func (AiFeatureStoreEntityTypeIamMemberArgs) ElementType() reflect.Type

type AiFeatureStoreEntityTypeIamMemberArray 

type AiFeatureStoreEntityTypeIamMemberArray []AiFeatureStoreEntityTypeIamMemberInput

func (AiFeatureStoreEntityTypeIamMemberArray) ElementType 

func (AiFeatureStoreEntityTypeIamMemberArray) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamMemberArray) ToAiFeatureStoreEntityTypeIamMemberArrayOutput 

func (i AiFeatureStoreEntityTypeIamMemberArray) ToAiFeatureStoreEntityTypeIamMemberArrayOutput() AiFeatureStoreEntityTypeIamMemberArrayOutput

func (AiFeatureStoreEntityTypeIamMemberArray) ToAiFeatureStoreEntityTypeIamMemberArrayOutputWithContext 

func (i AiFeatureStoreEntityTypeIamMemberArray) ToAiFeatureStoreEntityTypeIamMemberArrayOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamMemberArrayOutput

type AiFeatureStoreEntityTypeIamMemberArrayInput 

type AiFeatureStoreEntityTypeIamMemberArrayInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeIamMemberArrayOutput() AiFeatureStoreEntityTypeIamMemberArrayOutput
	ToAiFeatureStoreEntityTypeIamMemberArrayOutputWithContext(context.Context) AiFeatureStoreEntityTypeIamMemberArrayOutput
}

AiFeatureStoreEntityTypeIamMemberArrayInput is an input type that accepts AiFeatureStoreEntityTypeIamMemberArray and AiFeatureStoreEntityTypeIamMemberArrayOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeIamMemberArrayInput` via: 

AiFeatureStoreEntityTypeIamMemberArray{ AiFeatureStoreEntityTypeIamMemberArgs{...} }

type AiFeatureStoreEntityTypeIamMemberArrayOutput 

type AiFeatureStoreEntityTypeIamMemberArrayOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeIamMemberArrayOutput) ElementType 

func (AiFeatureStoreEntityTypeIamMemberArrayOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamMemberArrayOutput) Index 

func (o AiFeatureStoreEntityTypeIamMemberArrayOutput) Index(i pulumi.IntInput) AiFeatureStoreEntityTypeIamMemberOutput

func (AiFeatureStoreEntityTypeIamMemberArrayOutput) ToAiFeatureStoreEntityTypeIamMemberArrayOutput 

func (o AiFeatureStoreEntityTypeIamMemberArrayOutput) ToAiFeatureStoreEntityTypeIamMemberArrayOutput() AiFeatureStoreEntityTypeIamMemberArrayOutput

func (AiFeatureStoreEntityTypeIamMemberArrayOutput) ToAiFeatureStoreEntityTypeIamMemberArrayOutputWithContext 

func (o AiFeatureStoreEntityTypeIamMemberArrayOutput) ToAiFeatureStoreEntityTypeIamMemberArrayOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamMemberArrayOutput

type AiFeatureStoreEntityTypeIamMemberCondition 

type AiFeatureStoreEntityTypeIamMemberCondition struct {
	Description *string `pulumi:"description"`
	Expression  string  `pulumi:"expression"`
	Title       string  `pulumi:"title"`
}

type AiFeatureStoreEntityTypeIamMemberConditionArgs 

type AiFeatureStoreEntityTypeIamMemberConditionArgs struct {
	Description pulumi.StringPtrInput `pulumi:"description"`
	Expression  pulumi.StringInput    `pulumi:"expression"`
	Title       pulumi.StringInput    `pulumi:"title"`
}

func (AiFeatureStoreEntityTypeIamMemberConditionArgs) ElementType 

func (AiFeatureStoreEntityTypeIamMemberConditionArgs) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamMemberConditionArgs) ToAiFeatureStoreEntityTypeIamMemberConditionOutput 

func (i AiFeatureStoreEntityTypeIamMemberConditionArgs) ToAiFeatureStoreEntityTypeIamMemberConditionOutput() AiFeatureStoreEntityTypeIamMemberConditionOutput

func (AiFeatureStoreEntityTypeIamMemberConditionArgs) ToAiFeatureStoreEntityTypeIamMemberConditionOutputWithContext 

func (i AiFeatureStoreEntityTypeIamMemberConditionArgs) ToAiFeatureStoreEntityTypeIamMemberConditionOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamMemberConditionOutput

func (AiFeatureStoreEntityTypeIamMemberConditionArgs) ToAiFeatureStoreEntityTypeIamMemberConditionPtrOutput 

func (i AiFeatureStoreEntityTypeIamMemberConditionArgs) ToAiFeatureStoreEntityTypeIamMemberConditionPtrOutput() AiFeatureStoreEntityTypeIamMemberConditionPtrOutput

func (AiFeatureStoreEntityTypeIamMemberConditionArgs) ToAiFeatureStoreEntityTypeIamMemberConditionPtrOutputWithContext 

func (i AiFeatureStoreEntityTypeIamMemberConditionArgs) ToAiFeatureStoreEntityTypeIamMemberConditionPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamMemberConditionPtrOutput

type AiFeatureStoreEntityTypeIamMemberConditionInput 

type AiFeatureStoreEntityTypeIamMemberConditionInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeIamMemberConditionOutput() AiFeatureStoreEntityTypeIamMemberConditionOutput
	ToAiFeatureStoreEntityTypeIamMemberConditionOutputWithContext(context.Context) AiFeatureStoreEntityTypeIamMemberConditionOutput
}

AiFeatureStoreEntityTypeIamMemberConditionInput is an input type that accepts AiFeatureStoreEntityTypeIamMemberConditionArgs and AiFeatureStoreEntityTypeIamMemberConditionOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeIamMemberConditionInput` via: 

AiFeatureStoreEntityTypeIamMemberConditionArgs{...}

type AiFeatureStoreEntityTypeIamMemberConditionOutput 

type AiFeatureStoreEntityTypeIamMemberConditionOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeIamMemberConditionOutput) Description 

func (o AiFeatureStoreEntityTypeIamMemberConditionOutput) Description() pulumi.StringPtrOutput

func (AiFeatureStoreEntityTypeIamMemberConditionOutput) ElementType 

func (AiFeatureStoreEntityTypeIamMemberConditionOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamMemberConditionOutput) Expression 

func (o AiFeatureStoreEntityTypeIamMemberConditionOutput) Expression() pulumi.StringOutput

func (AiFeatureStoreEntityTypeIamMemberConditionOutput) Title 

func (o AiFeatureStoreEntityTypeIamMemberConditionOutput) Title() pulumi.StringOutput

func (AiFeatureStoreEntityTypeIamMemberConditionOutput) ToAiFeatureStoreEntityTypeIamMemberConditionOutput 

func (o AiFeatureStoreEntityTypeIamMemberConditionOutput) ToAiFeatureStoreEntityTypeIamMemberConditionOutput() AiFeatureStoreEntityTypeIamMemberConditionOutput

func (AiFeatureStoreEntityTypeIamMemberConditionOutput) ToAiFeatureStoreEntityTypeIamMemberConditionOutputWithContext 

func (o AiFeatureStoreEntityTypeIamMemberConditionOutput) ToAiFeatureStoreEntityTypeIamMemberConditionOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamMemberConditionOutput

func (AiFeatureStoreEntityTypeIamMemberConditionOutput) ToAiFeatureStoreEntityTypeIamMemberConditionPtrOutput 

func (o AiFeatureStoreEntityTypeIamMemberConditionOutput) ToAiFeatureStoreEntityTypeIamMemberConditionPtrOutput() AiFeatureStoreEntityTypeIamMemberConditionPtrOutput

func (AiFeatureStoreEntityTypeIamMemberConditionOutput) ToAiFeatureStoreEntityTypeIamMemberConditionPtrOutputWithContext 

func (o AiFeatureStoreEntityTypeIamMemberConditionOutput) ToAiFeatureStoreEntityTypeIamMemberConditionPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamMemberConditionPtrOutput

type AiFeatureStoreEntityTypeIamMemberConditionPtrInput 

type AiFeatureStoreEntityTypeIamMemberConditionPtrInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeIamMemberConditionPtrOutput() AiFeatureStoreEntityTypeIamMemberConditionPtrOutput
	ToAiFeatureStoreEntityTypeIamMemberConditionPtrOutputWithContext(context.Context) AiFeatureStoreEntityTypeIamMemberConditionPtrOutput
}

AiFeatureStoreEntityTypeIamMemberConditionPtrInput is an input type that accepts AiFeatureStoreEntityTypeIamMemberConditionArgs, AiFeatureStoreEntityTypeIamMemberConditionPtr and AiFeatureStoreEntityTypeIamMemberConditionPtrOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeIamMemberConditionPtrInput` via: 

        AiFeatureStoreEntityTypeIamMemberConditionArgs{...}

or:

        nil

func AiFeatureStoreEntityTypeIamMemberConditionPtr 

func AiFeatureStoreEntityTypeIamMemberConditionPtr(v *AiFeatureStoreEntityTypeIamMemberConditionArgs) AiFeatureStoreEntityTypeIamMemberConditionPtrInput

type AiFeatureStoreEntityTypeIamMemberConditionPtrOutput 

type AiFeatureStoreEntityTypeIamMemberConditionPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeIamMemberConditionPtrOutput) Description 

func (o AiFeatureStoreEntityTypeIamMemberConditionPtrOutput) Description() pulumi.StringPtrOutput

func (AiFeatureStoreEntityTypeIamMemberConditionPtrOutput) Elem 

func (o AiFeatureStoreEntityTypeIamMemberConditionPtrOutput) Elem() AiFeatureStoreEntityTypeIamMemberConditionOutput

func (AiFeatureStoreEntityTypeIamMemberConditionPtrOutput) ElementType 

func (AiFeatureStoreEntityTypeIamMemberConditionPtrOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamMemberConditionPtrOutput) Expression 

func (o AiFeatureStoreEntityTypeIamMemberConditionPtrOutput) Expression() pulumi.StringPtrOutput

func (AiFeatureStoreEntityTypeIamMemberConditionPtrOutput) Title 

func (o AiFeatureStoreEntityTypeIamMemberConditionPtrOutput) Title() pulumi.StringPtrOutput

func (AiFeatureStoreEntityTypeIamMemberConditionPtrOutput) ToAiFeatureStoreEntityTypeIamMemberConditionPtrOutput 

func (o AiFeatureStoreEntityTypeIamMemberConditionPtrOutput) ToAiFeatureStoreEntityTypeIamMemberConditionPtrOutput() AiFeatureStoreEntityTypeIamMemberConditionPtrOutput

func (AiFeatureStoreEntityTypeIamMemberConditionPtrOutput) ToAiFeatureStoreEntityTypeIamMemberConditionPtrOutputWithContext 

func (o AiFeatureStoreEntityTypeIamMemberConditionPtrOutput) ToAiFeatureStoreEntityTypeIamMemberConditionPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamMemberConditionPtrOutput

type AiFeatureStoreEntityTypeIamMemberInput 

type AiFeatureStoreEntityTypeIamMemberInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeIamMemberOutput() AiFeatureStoreEntityTypeIamMemberOutput
	ToAiFeatureStoreEntityTypeIamMemberOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamMemberOutput
}

type AiFeatureStoreEntityTypeIamMemberMap 

type AiFeatureStoreEntityTypeIamMemberMap map[string]AiFeatureStoreEntityTypeIamMemberInput

func (AiFeatureStoreEntityTypeIamMemberMap) ElementType 

func (AiFeatureStoreEntityTypeIamMemberMap) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamMemberMap) ToAiFeatureStoreEntityTypeIamMemberMapOutput 

func (i AiFeatureStoreEntityTypeIamMemberMap) ToAiFeatureStoreEntityTypeIamMemberMapOutput() AiFeatureStoreEntityTypeIamMemberMapOutput

func (AiFeatureStoreEntityTypeIamMemberMap) ToAiFeatureStoreEntityTypeIamMemberMapOutputWithContext 

func (i AiFeatureStoreEntityTypeIamMemberMap) ToAiFeatureStoreEntityTypeIamMemberMapOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamMemberMapOutput

type AiFeatureStoreEntityTypeIamMemberMapInput 

type AiFeatureStoreEntityTypeIamMemberMapInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeIamMemberMapOutput() AiFeatureStoreEntityTypeIamMemberMapOutput
	ToAiFeatureStoreEntityTypeIamMemberMapOutputWithContext(context.Context) AiFeatureStoreEntityTypeIamMemberMapOutput
}

AiFeatureStoreEntityTypeIamMemberMapInput is an input type that accepts AiFeatureStoreEntityTypeIamMemberMap and AiFeatureStoreEntityTypeIamMemberMapOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeIamMemberMapInput` via: 

AiFeatureStoreEntityTypeIamMemberMap{ "key": AiFeatureStoreEntityTypeIamMemberArgs{...} }

type AiFeatureStoreEntityTypeIamMemberMapOutput 

type AiFeatureStoreEntityTypeIamMemberMapOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeIamMemberMapOutput) ElementType 

func (AiFeatureStoreEntityTypeIamMemberMapOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamMemberMapOutput) MapIndex 

func (o AiFeatureStoreEntityTypeIamMemberMapOutput) MapIndex(k pulumi.StringInput) AiFeatureStoreEntityTypeIamMemberOutput

func (AiFeatureStoreEntityTypeIamMemberMapOutput) ToAiFeatureStoreEntityTypeIamMemberMapOutput 

func (o AiFeatureStoreEntityTypeIamMemberMapOutput) ToAiFeatureStoreEntityTypeIamMemberMapOutput() AiFeatureStoreEntityTypeIamMemberMapOutput

func (AiFeatureStoreEntityTypeIamMemberMapOutput) ToAiFeatureStoreEntityTypeIamMemberMapOutputWithContext 

func (o AiFeatureStoreEntityTypeIamMemberMapOutput) ToAiFeatureStoreEntityTypeIamMemberMapOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamMemberMapOutput

type AiFeatureStoreEntityTypeIamMemberOutput 

type AiFeatureStoreEntityTypeIamMemberOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeIamMemberOutput) Condition 

func (o AiFeatureStoreEntityTypeIamMemberOutput) Condition() AiFeatureStoreEntityTypeIamMemberConditionPtrOutput

func (AiFeatureStoreEntityTypeIamMemberOutput) ElementType 

func (AiFeatureStoreEntityTypeIamMemberOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamMemberOutput) Entitytype 

func (o AiFeatureStoreEntityTypeIamMemberOutput) Entitytype() pulumi.StringOutput

Used to find the parent resource to bind the IAM policy to

func (AiFeatureStoreEntityTypeIamMemberOutput) Etag 

func (o AiFeatureStoreEntityTypeIamMemberOutput) Etag() pulumi.StringOutput

(Computed) The etag of the IAM policy.

func (AiFeatureStoreEntityTypeIamMemberOutput) Featurestore 

func (o AiFeatureStoreEntityTypeIamMemberOutput) Featurestore() pulumi.StringOutput

The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to

func (AiFeatureStoreEntityTypeIamMemberOutput) Member 

func (o AiFeatureStoreEntityTypeIamMemberOutput) Member() pulumi.StringOutput

Identities that will be granted the privilege in `role`. Each entry can have one of the following values: * **allUsers**: A special identifier that represents anyone who is on the internet; with or without a Google account. * **allAuthenticatedUsers**: A special identifier that represents anyone who is authenticated with a Google account or a service account. * **user:{emailid}**: An email address that represents a specific Google account. For example, alice@gmail.com or joe@example.com. * **serviceAccount:{emailid}**: An email address that represents a service account. For example, my-other-app@appspot.gserviceaccount.com. * **group:{emailid}**: An email address that represents a Google group. For example, admins@example.com. * **domain:{domain}**: A G Suite domain (primary, instead of alias) name that represents all the users of that domain. For example, google.com or example.com. * **projectOwner:projectid**: Owners of the given project. For example, "projectOwner:my-example-project" * **projectEditor:projectid**: Editors of the given project. For example, "projectEditor:my-example-project" * **projectViewer:projectid**: Viewers of the given project. For example, "projectViewer:my-example-project"

func (AiFeatureStoreEntityTypeIamMemberOutput) Role 

func (o AiFeatureStoreEntityTypeIamMemberOutput) Role() pulumi.StringOutput

The role that should be applied. Only one `vertex.AiFeatureStoreEntityTypeIamBinding` can be used per role. Note that custom roles must be of the format `[projects|organizations]/{parent-name}/roles/{role-name}`.

func (AiFeatureStoreEntityTypeIamMemberOutput) ToAiFeatureStoreEntityTypeIamMemberOutput 

func (o AiFeatureStoreEntityTypeIamMemberOutput) ToAiFeatureStoreEntityTypeIamMemberOutput() AiFeatureStoreEntityTypeIamMemberOutput

func (AiFeatureStoreEntityTypeIamMemberOutput) ToAiFeatureStoreEntityTypeIamMemberOutputWithContext 

func (o AiFeatureStoreEntityTypeIamMemberOutput) ToAiFeatureStoreEntityTypeIamMemberOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamMemberOutput

type AiFeatureStoreEntityTypeIamMemberState 

type AiFeatureStoreEntityTypeIamMemberState struct {
	Condition AiFeatureStoreEntityTypeIamMemberConditionPtrInput
	// Used to find the parent resource to bind the IAM policy to
	Entitytype pulumi.StringPtrInput
	// (Computed) The etag of the IAM policy.
	Etag pulumi.StringPtrInput
	// The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringPtrInput
	// Identities that will be granted the privilege in `role`.
	// Each entry can have one of the following values:
	// * **allUsers**: A special identifier that represents anyone who is on the internet; with or without a Google account.
	// * **allAuthenticatedUsers**: A special identifier that represents anyone who is authenticated with a Google account or a service account.
	// * **user:{emailid}**: An email address that represents a specific Google account. For example, alice@gmail.com or joe@example.com.
	// * **serviceAccount:{emailid}**: An email address that represents a service account. For example, my-other-app@appspot.gserviceaccount.com.
	// * **group:{emailid}**: An email address that represents a Google group. For example, admins@example.com.
	// * **domain:{domain}**: A G Suite domain (primary, instead of alias) name that represents all the users of that domain. For example, google.com or example.com.
	// * **projectOwner:projectid**: Owners of the given project. For example, "projectOwner:my-example-project"
	// * **projectEditor:projectid**: Editors of the given project. For example, "projectEditor:my-example-project"
	// * **projectViewer:projectid**: Viewers of the given project. For example, "projectViewer:my-example-project"
	Member pulumi.StringPtrInput
	// The role that should be applied. Only one
	// `vertex.AiFeatureStoreEntityTypeIamBinding` can be used per role. Note that custom roles must be of the format
	// `[projects|organizations]/{parent-name}/roles/{role-name}`.
	Role pulumi.StringPtrInput
}

func (AiFeatureStoreEntityTypeIamMemberState) ElementType 

func (AiFeatureStoreEntityTypeIamMemberState) ElementType() reflect.Type

type AiFeatureStoreEntityTypeIamPolicy 

type AiFeatureStoreEntityTypeIamPolicy struct {
	pulumi.CustomResourceState

	// Used to find the parent resource to bind the IAM policy to
	Entitytype pulumi.StringOutput `pulumi:"entitytype"`
	// (Computed) The etag of the IAM policy.
	Etag pulumi.StringOutput `pulumi:"etag"`
	// The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringOutput `pulumi:"featurestore"`
	// The policy data generated by
	// a `organizations.getIAMPolicy` data source.
	PolicyData pulumi.StringOutput `pulumi:"policyData"`
}

## Import

For all import syntaxes, the "resource in question" can take any of the following forms:

* {{featurestore}}/entityTypes/{{name}}

* {{name}}

Any variables not passed in the import command will be taken from the provider configuration.

Vertex AI featurestoreentitytype IAM resources can be imported using the resource identifiers, role, and member.

IAM member imports use space-delimited identifiers: the resource in question, the role, and the member identity, e.g.

```sh $ pulumi import gcp:vertex/aiFeatureStoreEntityTypeIamPolicy:AiFeatureStoreEntityTypeIamPolicy editor "{{featurestore}}/entityTypes/{{featurestore_entitytype}} roles/viewer user:jane@example.com" ```

IAM binding imports use space-delimited identifiers: the resource in question and the role, e.g.

```sh $ pulumi import gcp:vertex/aiFeatureStoreEntityTypeIamPolicy:AiFeatureStoreEntityTypeIamPolicy editor "{{featurestore}}/entityTypes/{{featurestore_entitytype}} roles/viewer" ```

IAM policy imports use the identifier of the resource in question, e.g.

```sh $ pulumi import gcp:vertex/aiFeatureStoreEntityTypeIamPolicy:AiFeatureStoreEntityTypeIamPolicy editor {{featurestore}}/entityTypes/{{featurestore_entitytype}} ```

-> **Custom Roles** If you're importing a IAM resource with a custom role, make sure to use the 

full name of the custom role, e.g. `[projects/my-project|organizations/my-org]/roles/my-custom-role`.

func GetAiFeatureStoreEntityTypeIamPolicy 

func GetAiFeatureStoreEntityTypeIamPolicy(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiFeatureStoreEntityTypeIamPolicyState, opts ...pulumi.ResourceOption) (*AiFeatureStoreEntityTypeIamPolicy, error)

GetAiFeatureStoreEntityTypeIamPolicy gets an existing AiFeatureStoreEntityTypeIamPolicy resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiFeatureStoreEntityTypeIamPolicy 

func NewAiFeatureStoreEntityTypeIamPolicy(ctx *pulumi.Context,
	name string, args *AiFeatureStoreEntityTypeIamPolicyArgs, opts ...pulumi.ResourceOption) (*AiFeatureStoreEntityTypeIamPolicy, error)

NewAiFeatureStoreEntityTypeIamPolicy registers a new resource with the given unique name, arguments, and options.

func (*AiFeatureStoreEntityTypeIamPolicy) ElementType 

func (*AiFeatureStoreEntityTypeIamPolicy) ElementType() reflect.Type

func (*AiFeatureStoreEntityTypeIamPolicy) ToAiFeatureStoreEntityTypeIamPolicyOutput 

func (i *AiFeatureStoreEntityTypeIamPolicy) ToAiFeatureStoreEntityTypeIamPolicyOutput() AiFeatureStoreEntityTypeIamPolicyOutput

func (*AiFeatureStoreEntityTypeIamPolicy) ToAiFeatureStoreEntityTypeIamPolicyOutputWithContext 

func (i *AiFeatureStoreEntityTypeIamPolicy) ToAiFeatureStoreEntityTypeIamPolicyOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamPolicyOutput

type AiFeatureStoreEntityTypeIamPolicyArgs 

type AiFeatureStoreEntityTypeIamPolicyArgs struct {
	// Used to find the parent resource to bind the IAM policy to
	Entitytype pulumi.StringInput
	// The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringInput
	// The policy data generated by
	// a `organizations.getIAMPolicy` data source.
	PolicyData pulumi.StringInput
}

The set of arguments for constructing a AiFeatureStoreEntityTypeIamPolicy resource.

func (AiFeatureStoreEntityTypeIamPolicyArgs) ElementType 

func (AiFeatureStoreEntityTypeIamPolicyArgs) ElementType() reflect.Type

type AiFeatureStoreEntityTypeIamPolicyArray 

type AiFeatureStoreEntityTypeIamPolicyArray []AiFeatureStoreEntityTypeIamPolicyInput

func (AiFeatureStoreEntityTypeIamPolicyArray) ElementType 

func (AiFeatureStoreEntityTypeIamPolicyArray) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamPolicyArray) ToAiFeatureStoreEntityTypeIamPolicyArrayOutput 

func (i AiFeatureStoreEntityTypeIamPolicyArray) ToAiFeatureStoreEntityTypeIamPolicyArrayOutput() AiFeatureStoreEntityTypeIamPolicyArrayOutput

func (AiFeatureStoreEntityTypeIamPolicyArray) ToAiFeatureStoreEntityTypeIamPolicyArrayOutputWithContext 

func (i AiFeatureStoreEntityTypeIamPolicyArray) ToAiFeatureStoreEntityTypeIamPolicyArrayOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamPolicyArrayOutput

type AiFeatureStoreEntityTypeIamPolicyArrayInput 

type AiFeatureStoreEntityTypeIamPolicyArrayInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeIamPolicyArrayOutput() AiFeatureStoreEntityTypeIamPolicyArrayOutput
	ToAiFeatureStoreEntityTypeIamPolicyArrayOutputWithContext(context.Context) AiFeatureStoreEntityTypeIamPolicyArrayOutput
}

AiFeatureStoreEntityTypeIamPolicyArrayInput is an input type that accepts AiFeatureStoreEntityTypeIamPolicyArray and AiFeatureStoreEntityTypeIamPolicyArrayOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeIamPolicyArrayInput` via: 

AiFeatureStoreEntityTypeIamPolicyArray{ AiFeatureStoreEntityTypeIamPolicyArgs{...} }

type AiFeatureStoreEntityTypeIamPolicyArrayOutput 

type AiFeatureStoreEntityTypeIamPolicyArrayOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeIamPolicyArrayOutput) ElementType 

func (AiFeatureStoreEntityTypeIamPolicyArrayOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamPolicyArrayOutput) Index 

func (o AiFeatureStoreEntityTypeIamPolicyArrayOutput) Index(i pulumi.IntInput) AiFeatureStoreEntityTypeIamPolicyOutput

func (AiFeatureStoreEntityTypeIamPolicyArrayOutput) ToAiFeatureStoreEntityTypeIamPolicyArrayOutput 

func (o AiFeatureStoreEntityTypeIamPolicyArrayOutput) ToAiFeatureStoreEntityTypeIamPolicyArrayOutput() AiFeatureStoreEntityTypeIamPolicyArrayOutput

func (AiFeatureStoreEntityTypeIamPolicyArrayOutput) ToAiFeatureStoreEntityTypeIamPolicyArrayOutputWithContext 

func (o AiFeatureStoreEntityTypeIamPolicyArrayOutput) ToAiFeatureStoreEntityTypeIamPolicyArrayOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamPolicyArrayOutput

type AiFeatureStoreEntityTypeIamPolicyInput 

type AiFeatureStoreEntityTypeIamPolicyInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeIamPolicyOutput() AiFeatureStoreEntityTypeIamPolicyOutput
	ToAiFeatureStoreEntityTypeIamPolicyOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamPolicyOutput
}

type AiFeatureStoreEntityTypeIamPolicyMap 

type AiFeatureStoreEntityTypeIamPolicyMap map[string]AiFeatureStoreEntityTypeIamPolicyInput

func (AiFeatureStoreEntityTypeIamPolicyMap) ElementType 

func (AiFeatureStoreEntityTypeIamPolicyMap) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamPolicyMap) ToAiFeatureStoreEntityTypeIamPolicyMapOutput 

func (i AiFeatureStoreEntityTypeIamPolicyMap) ToAiFeatureStoreEntityTypeIamPolicyMapOutput() AiFeatureStoreEntityTypeIamPolicyMapOutput

func (AiFeatureStoreEntityTypeIamPolicyMap) ToAiFeatureStoreEntityTypeIamPolicyMapOutputWithContext 

func (i AiFeatureStoreEntityTypeIamPolicyMap) ToAiFeatureStoreEntityTypeIamPolicyMapOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamPolicyMapOutput

type AiFeatureStoreEntityTypeIamPolicyMapInput 

type AiFeatureStoreEntityTypeIamPolicyMapInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeIamPolicyMapOutput() AiFeatureStoreEntityTypeIamPolicyMapOutput
	ToAiFeatureStoreEntityTypeIamPolicyMapOutputWithContext(context.Context) AiFeatureStoreEntityTypeIamPolicyMapOutput
}

AiFeatureStoreEntityTypeIamPolicyMapInput is an input type that accepts AiFeatureStoreEntityTypeIamPolicyMap and AiFeatureStoreEntityTypeIamPolicyMapOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeIamPolicyMapInput` via: 

AiFeatureStoreEntityTypeIamPolicyMap{ "key": AiFeatureStoreEntityTypeIamPolicyArgs{...} }

type AiFeatureStoreEntityTypeIamPolicyMapOutput 

type AiFeatureStoreEntityTypeIamPolicyMapOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeIamPolicyMapOutput) ElementType 

func (AiFeatureStoreEntityTypeIamPolicyMapOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamPolicyMapOutput) MapIndex 

func (o AiFeatureStoreEntityTypeIamPolicyMapOutput) MapIndex(k pulumi.StringInput) AiFeatureStoreEntityTypeIamPolicyOutput

func (AiFeatureStoreEntityTypeIamPolicyMapOutput) ToAiFeatureStoreEntityTypeIamPolicyMapOutput 

func (o AiFeatureStoreEntityTypeIamPolicyMapOutput) ToAiFeatureStoreEntityTypeIamPolicyMapOutput() AiFeatureStoreEntityTypeIamPolicyMapOutput

func (AiFeatureStoreEntityTypeIamPolicyMapOutput) ToAiFeatureStoreEntityTypeIamPolicyMapOutputWithContext 

func (o AiFeatureStoreEntityTypeIamPolicyMapOutput) ToAiFeatureStoreEntityTypeIamPolicyMapOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamPolicyMapOutput

type AiFeatureStoreEntityTypeIamPolicyOutput 

type AiFeatureStoreEntityTypeIamPolicyOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeIamPolicyOutput) ElementType 

func (AiFeatureStoreEntityTypeIamPolicyOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeIamPolicyOutput) Entitytype 

func (o AiFeatureStoreEntityTypeIamPolicyOutput) Entitytype() pulumi.StringOutput

Used to find the parent resource to bind the IAM policy to

func (AiFeatureStoreEntityTypeIamPolicyOutput) Etag 

func (o AiFeatureStoreEntityTypeIamPolicyOutput) Etag() pulumi.StringOutput

(Computed) The etag of the IAM policy.

func (AiFeatureStoreEntityTypeIamPolicyOutput) Featurestore 

func (o AiFeatureStoreEntityTypeIamPolicyOutput) Featurestore() pulumi.StringOutput

The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to

func (AiFeatureStoreEntityTypeIamPolicyOutput) PolicyData 

func (o AiFeatureStoreEntityTypeIamPolicyOutput) PolicyData() pulumi.StringOutput

The policy data generated by a `organizations.getIAMPolicy` data source.

func (AiFeatureStoreEntityTypeIamPolicyOutput) ToAiFeatureStoreEntityTypeIamPolicyOutput 

func (o AiFeatureStoreEntityTypeIamPolicyOutput) ToAiFeatureStoreEntityTypeIamPolicyOutput() AiFeatureStoreEntityTypeIamPolicyOutput

func (AiFeatureStoreEntityTypeIamPolicyOutput) ToAiFeatureStoreEntityTypeIamPolicyOutputWithContext 

func (o AiFeatureStoreEntityTypeIamPolicyOutput) ToAiFeatureStoreEntityTypeIamPolicyOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeIamPolicyOutput

type AiFeatureStoreEntityTypeIamPolicyState 

type AiFeatureStoreEntityTypeIamPolicyState struct {
	// Used to find the parent resource to bind the IAM policy to
	Entitytype pulumi.StringPtrInput
	// (Computed) The etag of the IAM policy.
	Etag pulumi.StringPtrInput
	// The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringPtrInput
	// The policy data generated by
	// a `organizations.getIAMPolicy` data source.
	PolicyData pulumi.StringPtrInput
}

func (AiFeatureStoreEntityTypeIamPolicyState) ElementType 

func (AiFeatureStoreEntityTypeIamPolicyState) ElementType() reflect.Type

type AiFeatureStoreEntityTypeInput 

type AiFeatureStoreEntityTypeInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeOutput() AiFeatureStoreEntityTypeOutput
	ToAiFeatureStoreEntityTypeOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeOutput
}

type AiFeatureStoreEntityTypeMap 

type AiFeatureStoreEntityTypeMap map[string]AiFeatureStoreEntityTypeInput

func (AiFeatureStoreEntityTypeMap) ElementType 

func (AiFeatureStoreEntityTypeMap) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeMap) ToAiFeatureStoreEntityTypeMapOutput 

func (i AiFeatureStoreEntityTypeMap) ToAiFeatureStoreEntityTypeMapOutput() AiFeatureStoreEntityTypeMapOutput

func (AiFeatureStoreEntityTypeMap) ToAiFeatureStoreEntityTypeMapOutputWithContext 

func (i AiFeatureStoreEntityTypeMap) ToAiFeatureStoreEntityTypeMapOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMapOutput

type AiFeatureStoreEntityTypeMapInput 

type AiFeatureStoreEntityTypeMapInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeMapOutput() AiFeatureStoreEntityTypeMapOutput
	ToAiFeatureStoreEntityTypeMapOutputWithContext(context.Context) AiFeatureStoreEntityTypeMapOutput
}

AiFeatureStoreEntityTypeMapInput is an input type that accepts AiFeatureStoreEntityTypeMap and AiFeatureStoreEntityTypeMapOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeMapInput` via: 

AiFeatureStoreEntityTypeMap{ "key": AiFeatureStoreEntityTypeArgs{...} }

type AiFeatureStoreEntityTypeMapOutput 

type AiFeatureStoreEntityTypeMapOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeMapOutput) ElementType 

func (AiFeatureStoreEntityTypeMapOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeMapOutput) MapIndex 

func (o AiFeatureStoreEntityTypeMapOutput) MapIndex(k pulumi.StringInput) AiFeatureStoreEntityTypeOutput

func (AiFeatureStoreEntityTypeMapOutput) ToAiFeatureStoreEntityTypeMapOutput 

func (o AiFeatureStoreEntityTypeMapOutput) ToAiFeatureStoreEntityTypeMapOutput() AiFeatureStoreEntityTypeMapOutput

func (AiFeatureStoreEntityTypeMapOutput) ToAiFeatureStoreEntityTypeMapOutputWithContext 

func (o AiFeatureStoreEntityTypeMapOutput) ToAiFeatureStoreEntityTypeMapOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMapOutput

type AiFeatureStoreEntityTypeMonitoringConfig 

type AiFeatureStoreEntityTypeMonitoringConfig struct {
	// Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING).
	// Structure is documented below.
	CategoricalThresholdConfig *AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfig `pulumi:"categoricalThresholdConfig"`
	// The config for ImportFeatures Analysis Based Feature Monitoring.
	// Structure is documented below.
	ImportFeaturesAnalysis *AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysis `pulumi:"importFeaturesAnalysis"`
	// Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64).
	// Structure is documented below.
	NumericalThresholdConfig *AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfig `pulumi:"numericalThresholdConfig"`
	// The config for Snapshot Analysis Based Feature Monitoring.
	// Structure is documented below.
	SnapshotAnalysis *AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysis `pulumi:"snapshotAnalysis"`
}

type AiFeatureStoreEntityTypeMonitoringConfigArgs 

type AiFeatureStoreEntityTypeMonitoringConfigArgs struct {
	// Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING).
	// Structure is documented below.
	CategoricalThresholdConfig AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrInput `pulumi:"categoricalThresholdConfig"`
	// The config for ImportFeatures Analysis Based Feature Monitoring.
	// Structure is documented below.
	ImportFeaturesAnalysis AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrInput `pulumi:"importFeaturesAnalysis"`
	// Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64).
	// Structure is documented below.
	NumericalThresholdConfig AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrInput `pulumi:"numericalThresholdConfig"`
	// The config for Snapshot Analysis Based Feature Monitoring.
	// Structure is documented below.
	SnapshotAnalysis AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrInput `pulumi:"snapshotAnalysis"`
}

func (AiFeatureStoreEntityTypeMonitoringConfigArgs) ElementType 

func (AiFeatureStoreEntityTypeMonitoringConfigArgs) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeMonitoringConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigOutput 

func (i AiFeatureStoreEntityTypeMonitoringConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigOutput() AiFeatureStoreEntityTypeMonitoringConfigOutput

func (AiFeatureStoreEntityTypeMonitoringConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigOutputWithContext 

func (i AiFeatureStoreEntityTypeMonitoringConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigOutput

func (AiFeatureStoreEntityTypeMonitoringConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigPtrOutput 

func (i AiFeatureStoreEntityTypeMonitoringConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigPtrOutput

func (AiFeatureStoreEntityTypeMonitoringConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigPtrOutputWithContext 

func (i AiFeatureStoreEntityTypeMonitoringConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigPtrOutput

type AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfig 

type AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfig struct {
	// Specify a threshold value that can trigger the alert. For categorical feature, the distribution distance is calculated by L-inifinity norm. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature. The default value is 0.3.
	Value float64 `pulumi:"value"`
}

type AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs 

type AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs struct {
	// Specify a threshold value that can trigger the alert. For categorical feature, the distribution distance is calculated by L-inifinity norm. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature. The default value is 0.3.
	Value pulumi.Float64Input `pulumi:"value"`
}

func (AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs) ElementType 

func (AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput 

func (i AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput() AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput

func (AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutputWithContext 

func (i AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput

func (AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput 

func (i AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput

func (AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutputWithContext 

func (i AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput

type AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigInput 

type AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput() AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput
	ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutputWithContext(context.Context) AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput
}

AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigInput is an input type that accepts AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs and AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigInput` via: 

AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs{...}

type AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput 

type AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput) ElementType 

func (AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput 

func (o AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput() AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput

func (AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutputWithContext 

func (o AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput

func (AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput 

func (o AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput

func (AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutputWithContext 

func (o AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput

func (AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput) Value 

func (o AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput) Value() pulumi.Float64Output

Specify a threshold value that can trigger the alert. For categorical feature, the distribution distance is calculated by L-inifinity norm. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature. The default value is 0.3.

type AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrInput 

type AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput
	ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutputWithContext(context.Context) AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput
}

AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrInput is an input type that accepts AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs, AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtr and AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrInput` via: 

        AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs{...}

or:

        nil

func AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtr 

func AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtr(v *AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs) AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrInput

type AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput 

type AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput) Elem 

func (o AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput) Elem() AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigOutput

func (AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput) ElementType 

func (AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput 

func (o AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput

func (AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutputWithContext 

func (o AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput

func (AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput) Value 

func (o AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput) Value() pulumi.Float64PtrOutput

Specify a threshold value that can trigger the alert. For categorical feature, the distribution distance is calculated by L-inifinity norm. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature. The default value is 0.3.

type AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysis 

type AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysis struct {
	// Defines the baseline to do anomaly detection for feature values imported by each [entityTypes.importFeatureValues][] operation. The value must be one of the values below:
	// * LATEST_STATS: Choose the later one statistics generated by either most recent snapshot analysis or previous import features analysis. If non of them exists, skip anomaly detection and only generate a statistics.
	// * MOST_RECENT_SNAPSHOT_STATS: Use the statistics generated by the most recent snapshot analysis if exists.
	// * PREVIOUS_IMPORT_FEATURES_STATS: Use the statistics generated by the previous import features analysis if exists.
	AnomalyDetectionBaseline *string `pulumi:"anomalyDetectionBaseline"`
	// Whether to enable / disable / inherite default hebavior for import features analysis. The value must be one of the values below:
	// * DEFAULT: The default behavior of whether to enable the monitoring. EntityType-level config: disabled.
	// * ENABLED: Explicitly enables import features analysis. EntityType-level config: by default enables import features analysis for all Features under it.
	// * DISABLED: Explicitly disables import features analysis. EntityType-level config: by default disables import features analysis for all Features under it.
	State *string `pulumi:"state"`
}

type AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisArgs 

type AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisArgs struct {
	// Defines the baseline to do anomaly detection for feature values imported by each [entityTypes.importFeatureValues][] operation. The value must be one of the values below:
	// * LATEST_STATS: Choose the later one statistics generated by either most recent snapshot analysis or previous import features analysis. If non of them exists, skip anomaly detection and only generate a statistics.
	// * MOST_RECENT_SNAPSHOT_STATS: Use the statistics generated by the most recent snapshot analysis if exists.
	// * PREVIOUS_IMPORT_FEATURES_STATS: Use the statistics generated by the previous import features analysis if exists.
	AnomalyDetectionBaseline pulumi.StringPtrInput `pulumi:"anomalyDetectionBaseline"`
	// Whether to enable / disable / inherite default hebavior for import features analysis. The value must be one of the values below:
	// * DEFAULT: The default behavior of whether to enable the monitoring. EntityType-level config: disabled.
	// * ENABLED: Explicitly enables import features analysis. EntityType-level config: by default enables import features analysis for all Features under it.
	// * DISABLED: Explicitly disables import features analysis. EntityType-level config: by default disables import features analysis for all Features under it.
	State pulumi.StringPtrInput `pulumi:"state"`
}

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisArgs) ElementType 

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisArgs) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisArgs) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput 

func (i AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisArgs) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput() AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisArgs) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutputWithContext 

func (i AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisArgs) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisArgs) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput 

func (i AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisArgs) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisArgs) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutputWithContext 

func (i AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisArgs) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput

type AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisInput 

type AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput() AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput
	ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutputWithContext(context.Context) AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput
}

AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisInput is an input type that accepts AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisArgs and AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisInput` via: 

AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisArgs{...}

type AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput 

type AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput) AnomalyDetectionBaseline 

func (o AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput) AnomalyDetectionBaseline() pulumi.StringPtrOutput

Defines the baseline to do anomaly detection for feature values imported by each [entityTypes.importFeatureValues][] operation. The value must be one of the values below: * LATEST_STATS: Choose the later one statistics generated by either most recent snapshot analysis or previous import features analysis. If non of them exists, skip anomaly detection and only generate a statistics. * MOST_RECENT_SNAPSHOT_STATS: Use the statistics generated by the most recent snapshot analysis if exists. * PREVIOUS_IMPORT_FEATURES_STATS: Use the statistics generated by the previous import features analysis if exists.

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput) ElementType 

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput) State 

func (o AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput) State() pulumi.StringPtrOutput

Whether to enable / disable / inherite default hebavior for import features analysis. The value must be one of the values below: * DEFAULT: The default behavior of whether to enable the monitoring. EntityType-level config: disabled. * ENABLED: Explicitly enables import features analysis. EntityType-level config: by default enables import features analysis for all Features under it. * DISABLED: Explicitly disables import features analysis. EntityType-level config: by default disables import features analysis for all Features under it.

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput 

func (o AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput() AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutputWithContext 

func (o AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput 

func (o AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutputWithContext 

func (o AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput

type AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrInput 

type AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput
	ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutputWithContext(context.Context) AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput
}

AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrInput is an input type that accepts AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisArgs, AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtr and AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrInput` via: 

        AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisArgs{...}

or:

        nil

func AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtr 

func AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtr(v *AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisArgs) AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrInput

type AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput 

type AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput) AnomalyDetectionBaseline 

func (o AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput) AnomalyDetectionBaseline() pulumi.StringPtrOutput

Defines the baseline to do anomaly detection for feature values imported by each [entityTypes.importFeatureValues][] operation. The value must be one of the values below: * LATEST_STATS: Choose the later one statistics generated by either most recent snapshot analysis or previous import features analysis. If non of them exists, skip anomaly detection and only generate a statistics. * MOST_RECENT_SNAPSHOT_STATS: Use the statistics generated by the most recent snapshot analysis if exists. * PREVIOUS_IMPORT_FEATURES_STATS: Use the statistics generated by the previous import features analysis if exists.

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput) Elem 

func (o AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput) Elem() AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisOutput

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput) ElementType 

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput) State 

func (o AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput) State() pulumi.StringPtrOutput

Whether to enable / disable / inherite default hebavior for import features analysis. The value must be one of the values below: * DEFAULT: The default behavior of whether to enable the monitoring. EntityType-level config: disabled. * ENABLED: Explicitly enables import features analysis. EntityType-level config: by default enables import features analysis for all Features under it. * DISABLED: Explicitly disables import features analysis. EntityType-level config: by default disables import features analysis for all Features under it.

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput 

func (o AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput

func (AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutputWithContext 

func (o AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput

type AiFeatureStoreEntityTypeMonitoringConfigInput 

type AiFeatureStoreEntityTypeMonitoringConfigInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeMonitoringConfigOutput() AiFeatureStoreEntityTypeMonitoringConfigOutput
	ToAiFeatureStoreEntityTypeMonitoringConfigOutputWithContext(context.Context) AiFeatureStoreEntityTypeMonitoringConfigOutput
}

AiFeatureStoreEntityTypeMonitoringConfigInput is an input type that accepts AiFeatureStoreEntityTypeMonitoringConfigArgs and AiFeatureStoreEntityTypeMonitoringConfigOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeMonitoringConfigInput` via: 

AiFeatureStoreEntityTypeMonitoringConfigArgs{...}

type AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfig 

type AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfig struct {
	// Specify a threshold value that can trigger the alert. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature. The default value is 0.3.
	Value float64 `pulumi:"value"`
}

type AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs 

type AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs struct {
	// Specify a threshold value that can trigger the alert. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature. The default value is 0.3.
	Value pulumi.Float64Input `pulumi:"value"`
}

func (AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs) ElementType 

func (AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput 

func (i AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput() AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput

func (AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutputWithContext 

func (i AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput

func (AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput 

func (i AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput

func (AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutputWithContext 

func (i AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput

type AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigInput 

type AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput() AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput
	ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutputWithContext(context.Context) AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput
}

AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigInput is an input type that accepts AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs and AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigInput` via: 

AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs{...}

type AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput 

type AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput) ElementType 

func (AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput 

func (o AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput() AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput

func (AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutputWithContext 

func (o AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput

func (AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput 

func (o AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput

func (AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutputWithContext 

func (o AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput

func (AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput) Value 

func (o AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput) Value() pulumi.Float64Output

Specify a threshold value that can trigger the alert. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature. The default value is 0.3.

type AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrInput 

type AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput
	ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutputWithContext(context.Context) AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput
}

AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrInput is an input type that accepts AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs, AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtr and AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrInput` via: 

        AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs{...}

or:

        nil

func AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtr 

func AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtr(v *AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs) AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrInput

type AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput 

type AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput) Elem 

func (o AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput) Elem() AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigOutput

func (AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput) ElementType 

func (AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput 

func (o AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput

func (AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutputWithContext 

func (o AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput

func (AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput) Value 

func (o AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput) Value() pulumi.Float64PtrOutput

Specify a threshold value that can trigger the alert. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature. The default value is 0.3.

type AiFeatureStoreEntityTypeMonitoringConfigOutput 

type AiFeatureStoreEntityTypeMonitoringConfigOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeMonitoringConfigOutput) CategoricalThresholdConfig 

func (o AiFeatureStoreEntityTypeMonitoringConfigOutput) CategoricalThresholdConfig() AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput

Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING). Structure is documented below.

func (AiFeatureStoreEntityTypeMonitoringConfigOutput) ElementType 

func (AiFeatureStoreEntityTypeMonitoringConfigOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeMonitoringConfigOutput) ImportFeaturesAnalysis 

func (o AiFeatureStoreEntityTypeMonitoringConfigOutput) ImportFeaturesAnalysis() AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput

The config for ImportFeatures Analysis Based Feature Monitoring. Structure is documented below.

func (AiFeatureStoreEntityTypeMonitoringConfigOutput) NumericalThresholdConfig 

func (o AiFeatureStoreEntityTypeMonitoringConfigOutput) NumericalThresholdConfig() AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput

Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64). Structure is documented below.

func (AiFeatureStoreEntityTypeMonitoringConfigOutput) SnapshotAnalysis 

func (o AiFeatureStoreEntityTypeMonitoringConfigOutput) SnapshotAnalysis() AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput

The config for Snapshot Analysis Based Feature Monitoring. Structure is documented below.

func (AiFeatureStoreEntityTypeMonitoringConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigOutput 

func (o AiFeatureStoreEntityTypeMonitoringConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigOutput() AiFeatureStoreEntityTypeMonitoringConfigOutput

func (AiFeatureStoreEntityTypeMonitoringConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigOutputWithContext 

func (o AiFeatureStoreEntityTypeMonitoringConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigOutput

func (AiFeatureStoreEntityTypeMonitoringConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigPtrOutput 

func (o AiFeatureStoreEntityTypeMonitoringConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigPtrOutput

func (AiFeatureStoreEntityTypeMonitoringConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigPtrOutputWithContext 

func (o AiFeatureStoreEntityTypeMonitoringConfigOutput) ToAiFeatureStoreEntityTypeMonitoringConfigPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigPtrOutput

type AiFeatureStoreEntityTypeMonitoringConfigPtrInput 

type AiFeatureStoreEntityTypeMonitoringConfigPtrInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeMonitoringConfigPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigPtrOutput
	ToAiFeatureStoreEntityTypeMonitoringConfigPtrOutputWithContext(context.Context) AiFeatureStoreEntityTypeMonitoringConfigPtrOutput
}

AiFeatureStoreEntityTypeMonitoringConfigPtrInput is an input type that accepts AiFeatureStoreEntityTypeMonitoringConfigArgs, AiFeatureStoreEntityTypeMonitoringConfigPtr and AiFeatureStoreEntityTypeMonitoringConfigPtrOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeMonitoringConfigPtrInput` via: 

        AiFeatureStoreEntityTypeMonitoringConfigArgs{...}

or:

        nil

func AiFeatureStoreEntityTypeMonitoringConfigPtr 

func AiFeatureStoreEntityTypeMonitoringConfigPtr(v *AiFeatureStoreEntityTypeMonitoringConfigArgs) AiFeatureStoreEntityTypeMonitoringConfigPtrInput

type AiFeatureStoreEntityTypeMonitoringConfigPtrOutput 

type AiFeatureStoreEntityTypeMonitoringConfigPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) CategoricalThresholdConfig 

func (o AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) CategoricalThresholdConfig() AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigPtrOutput

Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING). Structure is documented below.

func (AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) Elem 

func (o AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) Elem() AiFeatureStoreEntityTypeMonitoringConfigOutput

func (AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) ElementType 

func (AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) ImportFeaturesAnalysis 

func (o AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) ImportFeaturesAnalysis() AiFeatureStoreEntityTypeMonitoringConfigImportFeaturesAnalysisPtrOutput

The config for ImportFeatures Analysis Based Feature Monitoring. Structure is documented below.

func (AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) NumericalThresholdConfig 

func (o AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) NumericalThresholdConfig() AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigPtrOutput

Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64). Structure is documented below.

func (AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) SnapshotAnalysis 

func (o AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) SnapshotAnalysis() AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput

The config for Snapshot Analysis Based Feature Monitoring. Structure is documented below.

func (AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigPtrOutput 

func (o AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigPtrOutput

func (AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigPtrOutputWithContext 

func (o AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigPtrOutput

type AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysis 

type AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysis struct {
	// The monitoring schedule for snapshot analysis. For EntityType-level config: unset / disabled = true indicates disabled by default for Features under it; otherwise by default enable snapshot analysis monitoring with monitoringInterval for Features under it.
	Disabled *bool `pulumi:"disabled"`
	// Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day.
	// A duration in seconds with up to nine fractional digits, terminated by 's'. Example: "3.5s".
	//
	// > **Warning:** `monitoringInterval` is deprecated and will be removed in a future release.
	//
	// Deprecated: `monitoringInterval` is deprecated and will be removed in a future release.
	MonitoringInterval *string `pulumi:"monitoringInterval"`
	// Configuration of the snapshot analysis based monitoring pipeline running interval. The value indicates number of days. The default value is 1.
	// If both FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days and [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][] are set when creating/updating EntityTypes/Features, FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days will be used.
	MonitoringIntervalDays *int `pulumi:"monitoringIntervalDays"`
	// Customized export features time window for snapshot analysis. Unit is one day. The default value is 21 days. Minimum value is 1 day. Maximum value is 4000 days.
	StalenessDays *int `pulumi:"stalenessDays"`
}

type AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs 

type AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs struct {
	// The monitoring schedule for snapshot analysis. For EntityType-level config: unset / disabled = true indicates disabled by default for Features under it; otherwise by default enable snapshot analysis monitoring with monitoringInterval for Features under it.
	Disabled pulumi.BoolPtrInput `pulumi:"disabled"`
	// Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day.
	// A duration in seconds with up to nine fractional digits, terminated by 's'. Example: "3.5s".
	//
	// > **Warning:** `monitoringInterval` is deprecated and will be removed in a future release.
	//
	// Deprecated: `monitoringInterval` is deprecated and will be removed in a future release.
	MonitoringInterval pulumi.StringPtrInput `pulumi:"monitoringInterval"`
	// Configuration of the snapshot analysis based monitoring pipeline running interval. The value indicates number of days. The default value is 1.
	// If both FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days and [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][] are set when creating/updating EntityTypes/Features, FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days will be used.
	MonitoringIntervalDays pulumi.IntPtrInput `pulumi:"monitoringIntervalDays"`
	// Customized export features time window for snapshot analysis. Unit is one day. The default value is 21 days. Minimum value is 1 day. Maximum value is 4000 days.
	StalenessDays pulumi.IntPtrInput `pulumi:"stalenessDays"`
}

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs) ElementType 

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput 

func (i AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput() AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutputWithContext 

func (i AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput 

func (i AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutputWithContext 

func (i AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput

type AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisInput 

type AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput() AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput
	ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutputWithContext(context.Context) AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput
}

AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisInput is an input type that accepts AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs and AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisInput` via: 

AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs{...}

type AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput 

type AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput) Disabled 

func (o AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput) Disabled() pulumi.BoolPtrOutput

The monitoring schedule for snapshot analysis. For EntityType-level config: unset / disabled = true indicates disabled by default for Features under it; otherwise by default enable snapshot analysis monitoring with monitoringInterval for Features under it.

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput) ElementType 

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput) MonitoringInterval deprecated 

func (o AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput) MonitoringInterval() pulumi.StringPtrOutput

Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day. A duration in seconds with up to nine fractional digits, terminated by 's'. Example: "3.5s".

> **Warning:** `monitoringInterval` is deprecated and will be removed in a future release.

Deprecated: `monitoringInterval` is deprecated and will be removed in a future release.

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput) MonitoringIntervalDays 

func (o AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput) MonitoringIntervalDays() pulumi.IntPtrOutput

Configuration of the snapshot analysis based monitoring pipeline running interval. The value indicates number of days. The default value is 1. If both FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days and [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][] are set when creating/updating EntityTypes/Features, FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days will be used.

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput) StalenessDays 

func (o AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput) StalenessDays() pulumi.IntPtrOutput

Customized export features time window for snapshot analysis. Unit is one day. The default value is 21 days. Minimum value is 1 day. Maximum value is 4000 days.

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput 

func (o AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput() AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutputWithContext 

func (o AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput 

func (o AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutputWithContext 

func (o AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput

type AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrInput 

type AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput
	ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutputWithContext(context.Context) AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput
}

AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrInput is an input type that accepts AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs, AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtr and AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput values. You can construct a concrete instance of `AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrInput` via: 

        AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs{...}

or:

        nil

func AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtr 

func AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtr(v *AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs) AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrInput

type AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput 

type AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput) Disabled 

func (o AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput) Disabled() pulumi.BoolPtrOutput

The monitoring schedule for snapshot analysis. For EntityType-level config: unset / disabled = true indicates disabled by default for Features under it; otherwise by default enable snapshot analysis monitoring with monitoringInterval for Features under it.

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput) Elem 

func (o AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput) Elem() AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput) ElementType 

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput) MonitoringInterval deprecated 

func (o AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput) MonitoringInterval() pulumi.StringPtrOutput

Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day. A duration in seconds with up to nine fractional digits, terminated by 's'. Example: "3.5s".

> **Warning:** `monitoringInterval` is deprecated and will be removed in a future release.

Deprecated: `monitoringInterval` is deprecated and will be removed in a future release.

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput) MonitoringIntervalDays 

func (o AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput) MonitoringIntervalDays() pulumi.IntPtrOutput

Configuration of the snapshot analysis based monitoring pipeline running interval. The value indicates number of days. The default value is 1. If both FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days and [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][] are set when creating/updating EntityTypes/Features, FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days will be used.

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput) StalenessDays 

func (o AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput) StalenessDays() pulumi.IntPtrOutput

Customized export features time window for snapshot analysis. Unit is one day. The default value is 21 days. Minimum value is 1 day. Maximum value is 4000 days.

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput 

func (o AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput() AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput

func (AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutputWithContext 

func (o AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput) ToAiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput

type AiFeatureStoreEntityTypeOutput 

type AiFeatureStoreEntityTypeOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeOutput) CreateTime 

func (o AiFeatureStoreEntityTypeOutput) CreateTime() pulumi.StringOutput

The timestamp of when the featurestore was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

func (AiFeatureStoreEntityTypeOutput) Description 

func (o AiFeatureStoreEntityTypeOutput) Description() pulumi.StringPtrOutput

Optional. Description of the EntityType.

func (AiFeatureStoreEntityTypeOutput) EffectiveLabels 

func (o AiFeatureStoreEntityTypeOutput) EffectiveLabels() pulumi.StringMapOutput

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

func (AiFeatureStoreEntityTypeOutput) ElementType 

func (AiFeatureStoreEntityTypeOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeOutput) Etag 

func (o AiFeatureStoreEntityTypeOutput) Etag() pulumi.StringOutput

Used to perform consistent read-modify-write updates.

func (AiFeatureStoreEntityTypeOutput) Featurestore 

func (o AiFeatureStoreEntityTypeOutput) Featurestore() pulumi.StringOutput

The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}.

***

func (AiFeatureStoreEntityTypeOutput) Labels 

func (o AiFeatureStoreEntityTypeOutput) Labels() pulumi.StringMapOutput

A set of key/value label pairs to assign to this EntityType.

**Note**: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field `effectiveLabels` for all of the labels present on the resource.

func (AiFeatureStoreEntityTypeOutput) MonitoringConfig 

func (o AiFeatureStoreEntityTypeOutput) MonitoringConfig() AiFeatureStoreEntityTypeMonitoringConfigPtrOutput

The default monitoring configuration for all Features under this EntityType. If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled. Structure is documented below.

func (AiFeatureStoreEntityTypeOutput) Name 

func (o AiFeatureStoreEntityTypeOutput) Name() pulumi.StringOutput

The name of the EntityType. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.

func (AiFeatureStoreEntityTypeOutput) OfflineStorageTtlDays 

func (o AiFeatureStoreEntityTypeOutput) OfflineStorageTtlDays() pulumi.IntPtrOutput

Config for data retention policy in offline storage. TTL in days for feature values that will be stored in offline storage. The Feature Store offline storage periodically removes obsolete feature values older than offlineStorageTtlDays since the feature generation time. If unset (or explicitly set to 0), default to 4000 days TTL.

func (AiFeatureStoreEntityTypeOutput) PulumiLabels 

func (o AiFeatureStoreEntityTypeOutput) PulumiLabels() pulumi.StringMapOutput

The combination of labels configured directly on the resource and default labels configured on the provider.

func (AiFeatureStoreEntityTypeOutput) Region 

func (o AiFeatureStoreEntityTypeOutput) Region() pulumi.StringOutput

The region of the EntityType.

func (AiFeatureStoreEntityTypeOutput) ToAiFeatureStoreEntityTypeOutput 

func (o AiFeatureStoreEntityTypeOutput) ToAiFeatureStoreEntityTypeOutput() AiFeatureStoreEntityTypeOutput

func (AiFeatureStoreEntityTypeOutput) ToAiFeatureStoreEntityTypeOutputWithContext 

func (o AiFeatureStoreEntityTypeOutput) ToAiFeatureStoreEntityTypeOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeOutput

func (AiFeatureStoreEntityTypeOutput) UpdateTime 

func (o AiFeatureStoreEntityTypeOutput) UpdateTime() pulumi.StringOutput

The timestamp of when the featurestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

type AiFeatureStoreEntityTypeState 

type AiFeatureStoreEntityTypeState struct {
	// The timestamp of when the featurestore was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringPtrInput
	// Optional. Description of the EntityType.
	Description pulumi.StringPtrInput
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapInput
	// Used to perform consistent read-modify-write updates.
	Etag pulumi.StringPtrInput
	// The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}.
	//
	// ***
	Featurestore pulumi.StringPtrInput
	// A set of key/value label pairs to assign to this EntityType.
	//
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// The default monitoring configuration for all Features under this EntityType.
	// If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled.
	// Structure is documented below.
	MonitoringConfig AiFeatureStoreEntityTypeMonitoringConfigPtrInput
	// The name of the EntityType. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.
	Name pulumi.StringPtrInput
	// Config for data retention policy in offline storage. TTL in days for feature values that will be stored in offline storage. The Feature Store offline storage periodically removes obsolete feature values older than offlineStorageTtlDays since the feature generation time. If unset (or explicitly set to 0), default to 4000 days TTL.
	OfflineStorageTtlDays pulumi.IntPtrInput
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapInput
	// The region of the EntityType.
	Region pulumi.StringPtrInput
	// The timestamp of when the featurestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringPtrInput
}

func (AiFeatureStoreEntityTypeState) ElementType 

func (AiFeatureStoreEntityTypeState) ElementType() reflect.Type

type AiFeatureStoreIamBinding 

type AiFeatureStoreIamBinding struct {
	pulumi.CustomResourceState

	Condition AiFeatureStoreIamBindingConditionPtrOutput `pulumi:"condition"`
	// (Computed) The etag of the IAM policy.
	Etag pulumi.StringOutput `pulumi:"etag"`
	// Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringOutput `pulumi:"featurestore"`
	// Identities that will be granted the privilege in `role`.
	// Each entry can have one of the following values:
	// * **allUsers**: A special identifier that represents anyone who is on the internet; with or without a Google account.
	// * **allAuthenticatedUsers**: A special identifier that represents anyone who is authenticated with a Google account or a service account.
	// * **user:{emailid}**: An email address that represents a specific Google account. For example, alice@gmail.com or joe@example.com.
	// * **serviceAccount:{emailid}**: An email address that represents a service account. For example, my-other-app@appspot.gserviceaccount.com.
	// * **group:{emailid}**: An email address that represents a Google group. For example, admins@example.com.
	// * **domain:{domain}**: A G Suite domain (primary, instead of alias) name that represents all the users of that domain. For example, google.com or example.com.
	// * **projectOwner:projectid**: Owners of the given project. For example, "projectOwner:my-example-project"
	// * **projectEditor:projectid**: Editors of the given project. For example, "projectEditor:my-example-project"
	// * **projectViewer:projectid**: Viewers of the given project. For example, "projectViewer:my-example-project"
	Members pulumi.StringArrayOutput `pulumi:"members"`
	// The ID of the project in which the resource belongs.
	// If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
	Project pulumi.StringOutput `pulumi:"project"`
	// The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified,
	// the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no
	// region is specified, it is taken from the provider configuration.
	Region pulumi.StringOutput `pulumi:"region"`
	// The role that should be applied. Only one
	// `vertex.AiFeatureStoreIamBinding` can be used per role. Note that custom roles must be of the format
	// `[projects|organizations]/{parent-name}/roles/{role-name}`.
	Role pulumi.StringOutput `pulumi:"role"`
}

## Import

For all import syntaxes, the "resource in question" can take any of the following forms:

* projects/{{project}}/locations/{{region}}/featurestores/{{name}}

* {{project}}/{{region}}/{{name}}

* {{region}}/{{name}}

* {{name}}

Any variables not passed in the import command will be taken from the provider configuration.

Vertex AI featurestore IAM resources can be imported using the resource identifiers, role, and member.

IAM member imports use space-delimited identifiers: the resource in question, the role, and the member identity, e.g.

```sh $ pulumi import gcp:vertex/aiFeatureStoreIamBinding:AiFeatureStoreIamBinding editor "projects/{{project}}/locations/{{region}}/featurestores/{{featurestore}} roles/viewer user:jane@example.com" ```

IAM binding imports use space-delimited identifiers: the resource in question and the role, e.g.

```sh $ pulumi import gcp:vertex/aiFeatureStoreIamBinding:AiFeatureStoreIamBinding editor "projects/{{project}}/locations/{{region}}/featurestores/{{featurestore}} roles/viewer" ```

IAM policy imports use the identifier of the resource in question, e.g.

```sh $ pulumi import gcp:vertex/aiFeatureStoreIamBinding:AiFeatureStoreIamBinding editor projects/{{project}}/locations/{{region}}/featurestores/{{featurestore}} ```

-> **Custom Roles** If you're importing a IAM resource with a custom role, make sure to use the 

full name of the custom role, e.g. `[projects/my-project|organizations/my-org]/roles/my-custom-role`.

func GetAiFeatureStoreIamBinding 

func GetAiFeatureStoreIamBinding(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiFeatureStoreIamBindingState, opts ...pulumi.ResourceOption) (*AiFeatureStoreIamBinding, error)

GetAiFeatureStoreIamBinding gets an existing AiFeatureStoreIamBinding resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiFeatureStoreIamBinding 

func NewAiFeatureStoreIamBinding(ctx *pulumi.Context,
	name string, args *AiFeatureStoreIamBindingArgs, opts ...pulumi.ResourceOption) (*AiFeatureStoreIamBinding, error)

NewAiFeatureStoreIamBinding registers a new resource with the given unique name, arguments, and options.

func (*AiFeatureStoreIamBinding) ElementType 

func (*AiFeatureStoreIamBinding) ElementType() reflect.Type

func (*AiFeatureStoreIamBinding) ToAiFeatureStoreIamBindingOutput 

func (i *AiFeatureStoreIamBinding) ToAiFeatureStoreIamBindingOutput() AiFeatureStoreIamBindingOutput

func (*AiFeatureStoreIamBinding) ToAiFeatureStoreIamBindingOutputWithContext 

func (i *AiFeatureStoreIamBinding) ToAiFeatureStoreIamBindingOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingOutput

type AiFeatureStoreIamBindingArgs 

type AiFeatureStoreIamBindingArgs struct {
	Condition AiFeatureStoreIamBindingConditionPtrInput
	// Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringInput
	// Identities that will be granted the privilege in `role`.
	// Each entry can have one of the following values:
	// * **allUsers**: A special identifier that represents anyone who is on the internet; with or without a Google account.
	// * **allAuthenticatedUsers**: A special identifier that represents anyone who is authenticated with a Google account or a service account.
	// * **user:{emailid}**: An email address that represents a specific Google account. For example, alice@gmail.com or joe@example.com.
	// * **serviceAccount:{emailid}**: An email address that represents a service account. For example, my-other-app@appspot.gserviceaccount.com.
	// * **group:{emailid}**: An email address that represents a Google group. For example, admins@example.com.
	// * **domain:{domain}**: A G Suite domain (primary, instead of alias) name that represents all the users of that domain. For example, google.com or example.com.
	// * **projectOwner:projectid**: Owners of the given project. For example, "projectOwner:my-example-project"
	// * **projectEditor:projectid**: Editors of the given project. For example, "projectEditor:my-example-project"
	// * **projectViewer:projectid**: Viewers of the given project. For example, "projectViewer:my-example-project"
	Members pulumi.StringArrayInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
	Project pulumi.StringPtrInput
	// The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified,
	// the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no
	// region is specified, it is taken from the provider configuration.
	Region pulumi.StringPtrInput
	// The role that should be applied. Only one
	// `vertex.AiFeatureStoreIamBinding` can be used per role. Note that custom roles must be of the format
	// `[projects|organizations]/{parent-name}/roles/{role-name}`.
	Role pulumi.StringInput
}

The set of arguments for constructing a AiFeatureStoreIamBinding resource.

func (AiFeatureStoreIamBindingArgs) ElementType 

func (AiFeatureStoreIamBindingArgs) ElementType() reflect.Type

type AiFeatureStoreIamBindingArray 

type AiFeatureStoreIamBindingArray []AiFeatureStoreIamBindingInput

func (AiFeatureStoreIamBindingArray) ElementType 

func (AiFeatureStoreIamBindingArray) ElementType() reflect.Type

func (AiFeatureStoreIamBindingArray) ToAiFeatureStoreIamBindingArrayOutput 

func (i AiFeatureStoreIamBindingArray) ToAiFeatureStoreIamBindingArrayOutput() AiFeatureStoreIamBindingArrayOutput

func (AiFeatureStoreIamBindingArray) ToAiFeatureStoreIamBindingArrayOutputWithContext 

func (i AiFeatureStoreIamBindingArray) ToAiFeatureStoreIamBindingArrayOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingArrayOutput

type AiFeatureStoreIamBindingArrayInput 

type AiFeatureStoreIamBindingArrayInput interface {
	pulumi.Input

	ToAiFeatureStoreIamBindingArrayOutput() AiFeatureStoreIamBindingArrayOutput
	ToAiFeatureStoreIamBindingArrayOutputWithContext(context.Context) AiFeatureStoreIamBindingArrayOutput
}

AiFeatureStoreIamBindingArrayInput is an input type that accepts AiFeatureStoreIamBindingArray and AiFeatureStoreIamBindingArrayOutput values. You can construct a concrete instance of `AiFeatureStoreIamBindingArrayInput` via: 

AiFeatureStoreIamBindingArray{ AiFeatureStoreIamBindingArgs{...} }

type AiFeatureStoreIamBindingArrayOutput 

type AiFeatureStoreIamBindingArrayOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamBindingArrayOutput) ElementType 

func (AiFeatureStoreIamBindingArrayOutput) ElementType() reflect.Type

func (AiFeatureStoreIamBindingArrayOutput) Index 

func (o AiFeatureStoreIamBindingArrayOutput) Index(i pulumi.IntInput) AiFeatureStoreIamBindingOutput

func (AiFeatureStoreIamBindingArrayOutput) ToAiFeatureStoreIamBindingArrayOutput 

func (o AiFeatureStoreIamBindingArrayOutput) ToAiFeatureStoreIamBindingArrayOutput() AiFeatureStoreIamBindingArrayOutput

func (AiFeatureStoreIamBindingArrayOutput) ToAiFeatureStoreIamBindingArrayOutputWithContext 

func (o AiFeatureStoreIamBindingArrayOutput) ToAiFeatureStoreIamBindingArrayOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingArrayOutput

type AiFeatureStoreIamBindingCondition 

type AiFeatureStoreIamBindingCondition struct {
	Description *string `pulumi:"description"`
	Expression  string  `pulumi:"expression"`
	Title       string  `pulumi:"title"`
}

type AiFeatureStoreIamBindingConditionArgs 

type AiFeatureStoreIamBindingConditionArgs struct {
	Description pulumi.StringPtrInput `pulumi:"description"`
	Expression  pulumi.StringInput    `pulumi:"expression"`
	Title       pulumi.StringInput    `pulumi:"title"`
}

func (AiFeatureStoreIamBindingConditionArgs) ElementType 

func (AiFeatureStoreIamBindingConditionArgs) ElementType() reflect.Type

func (AiFeatureStoreIamBindingConditionArgs) ToAiFeatureStoreIamBindingConditionOutput 

func (i AiFeatureStoreIamBindingConditionArgs) ToAiFeatureStoreIamBindingConditionOutput() AiFeatureStoreIamBindingConditionOutput

func (AiFeatureStoreIamBindingConditionArgs) ToAiFeatureStoreIamBindingConditionOutputWithContext 

func (i AiFeatureStoreIamBindingConditionArgs) ToAiFeatureStoreIamBindingConditionOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingConditionOutput

func (AiFeatureStoreIamBindingConditionArgs) ToAiFeatureStoreIamBindingConditionPtrOutput 

func (i AiFeatureStoreIamBindingConditionArgs) ToAiFeatureStoreIamBindingConditionPtrOutput() AiFeatureStoreIamBindingConditionPtrOutput

func (AiFeatureStoreIamBindingConditionArgs) ToAiFeatureStoreIamBindingConditionPtrOutputWithContext 

func (i AiFeatureStoreIamBindingConditionArgs) ToAiFeatureStoreIamBindingConditionPtrOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingConditionPtrOutput

type AiFeatureStoreIamBindingConditionInput 

type AiFeatureStoreIamBindingConditionInput interface {
	pulumi.Input

	ToAiFeatureStoreIamBindingConditionOutput() AiFeatureStoreIamBindingConditionOutput
	ToAiFeatureStoreIamBindingConditionOutputWithContext(context.Context) AiFeatureStoreIamBindingConditionOutput
}

AiFeatureStoreIamBindingConditionInput is an input type that accepts AiFeatureStoreIamBindingConditionArgs and AiFeatureStoreIamBindingConditionOutput values. You can construct a concrete instance of `AiFeatureStoreIamBindingConditionInput` via: 

AiFeatureStoreIamBindingConditionArgs{...}

type AiFeatureStoreIamBindingConditionOutput 

type AiFeatureStoreIamBindingConditionOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamBindingConditionOutput) Description 

func (o AiFeatureStoreIamBindingConditionOutput) Description() pulumi.StringPtrOutput

func (AiFeatureStoreIamBindingConditionOutput) ElementType 

func (AiFeatureStoreIamBindingConditionOutput) ElementType() reflect.Type

func (AiFeatureStoreIamBindingConditionOutput) Expression 

func (o AiFeatureStoreIamBindingConditionOutput) Expression() pulumi.StringOutput

func (AiFeatureStoreIamBindingConditionOutput) Title 

func (o AiFeatureStoreIamBindingConditionOutput) Title() pulumi.StringOutput

func (AiFeatureStoreIamBindingConditionOutput) ToAiFeatureStoreIamBindingConditionOutput 

func (o AiFeatureStoreIamBindingConditionOutput) ToAiFeatureStoreIamBindingConditionOutput() AiFeatureStoreIamBindingConditionOutput

func (AiFeatureStoreIamBindingConditionOutput) ToAiFeatureStoreIamBindingConditionOutputWithContext 

func (o AiFeatureStoreIamBindingConditionOutput) ToAiFeatureStoreIamBindingConditionOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingConditionOutput

func (AiFeatureStoreIamBindingConditionOutput) ToAiFeatureStoreIamBindingConditionPtrOutput 

func (o AiFeatureStoreIamBindingConditionOutput) ToAiFeatureStoreIamBindingConditionPtrOutput() AiFeatureStoreIamBindingConditionPtrOutput

func (AiFeatureStoreIamBindingConditionOutput) ToAiFeatureStoreIamBindingConditionPtrOutputWithContext 

func (o AiFeatureStoreIamBindingConditionOutput) ToAiFeatureStoreIamBindingConditionPtrOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingConditionPtrOutput

type AiFeatureStoreIamBindingConditionPtrInput 

type AiFeatureStoreIamBindingConditionPtrInput interface {
	pulumi.Input

	ToAiFeatureStoreIamBindingConditionPtrOutput() AiFeatureStoreIamBindingConditionPtrOutput
	ToAiFeatureStoreIamBindingConditionPtrOutputWithContext(context.Context) AiFeatureStoreIamBindingConditionPtrOutput
}

AiFeatureStoreIamBindingConditionPtrInput is an input type that accepts AiFeatureStoreIamBindingConditionArgs, AiFeatureStoreIamBindingConditionPtr and AiFeatureStoreIamBindingConditionPtrOutput values. You can construct a concrete instance of `AiFeatureStoreIamBindingConditionPtrInput` via: 

        AiFeatureStoreIamBindingConditionArgs{...}

or:

        nil

func AiFeatureStoreIamBindingConditionPtr 

func AiFeatureStoreIamBindingConditionPtr(v *AiFeatureStoreIamBindingConditionArgs) AiFeatureStoreIamBindingConditionPtrInput

type AiFeatureStoreIamBindingConditionPtrOutput 

type AiFeatureStoreIamBindingConditionPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamBindingConditionPtrOutput) Description 

func (o AiFeatureStoreIamBindingConditionPtrOutput) Description() pulumi.StringPtrOutput

func (AiFeatureStoreIamBindingConditionPtrOutput) Elem 

func (o AiFeatureStoreIamBindingConditionPtrOutput) Elem() AiFeatureStoreIamBindingConditionOutput

func (AiFeatureStoreIamBindingConditionPtrOutput) ElementType 

func (AiFeatureStoreIamBindingConditionPtrOutput) ElementType() reflect.Type

func (AiFeatureStoreIamBindingConditionPtrOutput) Expression 

func (o AiFeatureStoreIamBindingConditionPtrOutput) Expression() pulumi.StringPtrOutput

func (AiFeatureStoreIamBindingConditionPtrOutput) Title 

func (o AiFeatureStoreIamBindingConditionPtrOutput) Title() pulumi.StringPtrOutput

func (AiFeatureStoreIamBindingConditionPtrOutput) ToAiFeatureStoreIamBindingConditionPtrOutput 

func (o AiFeatureStoreIamBindingConditionPtrOutput) ToAiFeatureStoreIamBindingConditionPtrOutput() AiFeatureStoreIamBindingConditionPtrOutput

func (AiFeatureStoreIamBindingConditionPtrOutput) ToAiFeatureStoreIamBindingConditionPtrOutputWithContext 

func (o AiFeatureStoreIamBindingConditionPtrOutput) ToAiFeatureStoreIamBindingConditionPtrOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingConditionPtrOutput

type AiFeatureStoreIamBindingInput 

type AiFeatureStoreIamBindingInput interface {
	pulumi.Input

	ToAiFeatureStoreIamBindingOutput() AiFeatureStoreIamBindingOutput
	ToAiFeatureStoreIamBindingOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingOutput
}

type AiFeatureStoreIamBindingMap 

type AiFeatureStoreIamBindingMap map[string]AiFeatureStoreIamBindingInput

func (AiFeatureStoreIamBindingMap) ElementType 

func (AiFeatureStoreIamBindingMap) ElementType() reflect.Type

func (AiFeatureStoreIamBindingMap) ToAiFeatureStoreIamBindingMapOutput 

func (i AiFeatureStoreIamBindingMap) ToAiFeatureStoreIamBindingMapOutput() AiFeatureStoreIamBindingMapOutput

func (AiFeatureStoreIamBindingMap) ToAiFeatureStoreIamBindingMapOutputWithContext 

func (i AiFeatureStoreIamBindingMap) ToAiFeatureStoreIamBindingMapOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingMapOutput

type AiFeatureStoreIamBindingMapInput 

type AiFeatureStoreIamBindingMapInput interface {
	pulumi.Input

	ToAiFeatureStoreIamBindingMapOutput() AiFeatureStoreIamBindingMapOutput
	ToAiFeatureStoreIamBindingMapOutputWithContext(context.Context) AiFeatureStoreIamBindingMapOutput
}

AiFeatureStoreIamBindingMapInput is an input type that accepts AiFeatureStoreIamBindingMap and AiFeatureStoreIamBindingMapOutput values. You can construct a concrete instance of `AiFeatureStoreIamBindingMapInput` via: 

AiFeatureStoreIamBindingMap{ "key": AiFeatureStoreIamBindingArgs{...} }

type AiFeatureStoreIamBindingMapOutput 

type AiFeatureStoreIamBindingMapOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamBindingMapOutput) ElementType 

func (AiFeatureStoreIamBindingMapOutput) ElementType() reflect.Type

func (AiFeatureStoreIamBindingMapOutput) MapIndex 

func (o AiFeatureStoreIamBindingMapOutput) MapIndex(k pulumi.StringInput) AiFeatureStoreIamBindingOutput

func (AiFeatureStoreIamBindingMapOutput) ToAiFeatureStoreIamBindingMapOutput 

func (o AiFeatureStoreIamBindingMapOutput) ToAiFeatureStoreIamBindingMapOutput() AiFeatureStoreIamBindingMapOutput

func (AiFeatureStoreIamBindingMapOutput) ToAiFeatureStoreIamBindingMapOutputWithContext 

func (o AiFeatureStoreIamBindingMapOutput) ToAiFeatureStoreIamBindingMapOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingMapOutput

type AiFeatureStoreIamBindingOutput 

type AiFeatureStoreIamBindingOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamBindingOutput) Condition 

func (o AiFeatureStoreIamBindingOutput) Condition() AiFeatureStoreIamBindingConditionPtrOutput

func (AiFeatureStoreIamBindingOutput) ElementType 

func (AiFeatureStoreIamBindingOutput) ElementType() reflect.Type

func (AiFeatureStoreIamBindingOutput) Etag 

func (o AiFeatureStoreIamBindingOutput) Etag() pulumi.StringOutput

(Computed) The etag of the IAM policy.

func (AiFeatureStoreIamBindingOutput) Featurestore 

func (o AiFeatureStoreIamBindingOutput) Featurestore() pulumi.StringOutput

Used to find the parent resource to bind the IAM policy to

func (AiFeatureStoreIamBindingOutput) Members 

func (o AiFeatureStoreIamBindingOutput) Members() pulumi.StringArrayOutput

Identities that will be granted the privilege in `role`. Each entry can have one of the following values: * **allUsers**: A special identifier that represents anyone who is on the internet; with or without a Google account. * **allAuthenticatedUsers**: A special identifier that represents anyone who is authenticated with a Google account or a service account. * **user:{emailid}**: An email address that represents a specific Google account. For example, alice@gmail.com or joe@example.com. * **serviceAccount:{emailid}**: An email address that represents a service account. For example, my-other-app@appspot.gserviceaccount.com. * **group:{emailid}**: An email address that represents a Google group. For example, admins@example.com. * **domain:{domain}**: A G Suite domain (primary, instead of alias) name that represents all the users of that domain. For example, google.com or example.com. * **projectOwner:projectid**: Owners of the given project. For example, "projectOwner:my-example-project" * **projectEditor:projectid**: Editors of the given project. For example, "projectEditor:my-example-project" * **projectViewer:projectid**: Viewers of the given project. For example, "projectViewer:my-example-project"

func (AiFeatureStoreIamBindingOutput) Project 

func (o AiFeatureStoreIamBindingOutput) Project() pulumi.StringOutput

The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.

func (AiFeatureStoreIamBindingOutput) Region 

func (o AiFeatureStoreIamBindingOutput) Region() pulumi.StringOutput

The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.

func (AiFeatureStoreIamBindingOutput) Role 

func (o AiFeatureStoreIamBindingOutput) Role() pulumi.StringOutput

The role that should be applied. Only one `vertex.AiFeatureStoreIamBinding` can be used per role. Note that custom roles must be of the format `[projects|organizations]/{parent-name}/roles/{role-name}`.

func (AiFeatureStoreIamBindingOutput) ToAiFeatureStoreIamBindingOutput 

func (o AiFeatureStoreIamBindingOutput) ToAiFeatureStoreIamBindingOutput() AiFeatureStoreIamBindingOutput

func (AiFeatureStoreIamBindingOutput) ToAiFeatureStoreIamBindingOutputWithContext 

func (o AiFeatureStoreIamBindingOutput) ToAiFeatureStoreIamBindingOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingOutput

type AiFeatureStoreIamBindingState 

type AiFeatureStoreIamBindingState struct {
	Condition AiFeatureStoreIamBindingConditionPtrInput
	// (Computed) The etag of the IAM policy.
	Etag pulumi.StringPtrInput
	// Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringPtrInput
	// Identities that will be granted the privilege in `role`.
	// Each entry can have one of the following values:
	// * **allUsers**: A special identifier that represents anyone who is on the internet; with or without a Google account.
	// * **allAuthenticatedUsers**: A special identifier that represents anyone who is authenticated with a Google account or a service account.
	// * **user:{emailid}**: An email address that represents a specific Google account. For example, alice@gmail.com or joe@example.com.
	// * **serviceAccount:{emailid}**: An email address that represents a service account. For example, my-other-app@appspot.gserviceaccount.com.
	// * **group:{emailid}**: An email address that represents a Google group. For example, admins@example.com.
	// * **domain:{domain}**: A G Suite domain (primary, instead of alias) name that represents all the users of that domain. For example, google.com or example.com.
	// * **projectOwner:projectid**: Owners of the given project. For example, "projectOwner:my-example-project"
	// * **projectEditor:projectid**: Editors of the given project. For example, "projectEditor:my-example-project"
	// * **projectViewer:projectid**: Viewers of the given project. For example, "projectViewer:my-example-project"
	Members pulumi.StringArrayInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
	Project pulumi.StringPtrInput
	// The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified,
	// the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no
	// region is specified, it is taken from the provider configuration.
	Region pulumi.StringPtrInput
	// The role that should be applied. Only one
	// `vertex.AiFeatureStoreIamBinding` can be used per role. Note that custom roles must be of the format
	// `[projects|organizations]/{parent-name}/roles/{role-name}`.
	Role pulumi.StringPtrInput
}

func (AiFeatureStoreIamBindingState) ElementType 

func (AiFeatureStoreIamBindingState) ElementType() reflect.Type

type AiFeatureStoreIamMember 

type AiFeatureStoreIamMember struct {
	pulumi.CustomResourceState

	Condition AiFeatureStoreIamMemberConditionPtrOutput `pulumi:"condition"`
	// (Computed) The etag of the IAM policy.
	Etag pulumi.StringOutput `pulumi:"etag"`
	// Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringOutput `pulumi:"featurestore"`
	// Identities that will be granted the privilege in `role`.
	// Each entry can have one of the following values:
	// * **allUsers**: A special identifier that represents anyone who is on the internet; with or without a Google account.
	// * **allAuthenticatedUsers**: A special identifier that represents anyone who is authenticated with a Google account or a service account.
	// * **user:{emailid}**: An email address that represents a specific Google account. For example, alice@gmail.com or joe@example.com.
	// * **serviceAccount:{emailid}**: An email address that represents a service account. For example, my-other-app@appspot.gserviceaccount.com.
	// * **group:{emailid}**: An email address that represents a Google group. For example, admins@example.com.
	// * **domain:{domain}**: A G Suite domain (primary, instead of alias) name that represents all the users of that domain. For example, google.com or example.com.
	// * **projectOwner:projectid**: Owners of the given project. For example, "projectOwner:my-example-project"
	// * **projectEditor:projectid**: Editors of the given project. For example, "projectEditor:my-example-project"
	// * **projectViewer:projectid**: Viewers of the given project. For example, "projectViewer:my-example-project"
	Member pulumi.StringOutput `pulumi:"member"`
	// The ID of the project in which the resource belongs.
	// If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
	Project pulumi.StringOutput `pulumi:"project"`
	// The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified,
	// the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no
	// region is specified, it is taken from the provider configuration.
	Region pulumi.StringOutput `pulumi:"region"`
	// The role that should be applied. Only one
	// `vertex.AiFeatureStoreIamBinding` can be used per role. Note that custom roles must be of the format
	// `[projects|organizations]/{parent-name}/roles/{role-name}`.
	Role pulumi.StringOutput `pulumi:"role"`
}

## Import

For all import syntaxes, the "resource in question" can take any of the following forms:

* projects/{{project}}/locations/{{region}}/featurestores/{{name}}

* {{project}}/{{region}}/{{name}}

* {{region}}/{{name}}

* {{name}}

Any variables not passed in the import command will be taken from the provider configuration.

Vertex AI featurestore IAM resources can be imported using the resource identifiers, role, and member.

IAM member imports use space-delimited identifiers: the resource in question, the role, and the member identity, e.g.

```sh $ pulumi import gcp:vertex/aiFeatureStoreIamMember:AiFeatureStoreIamMember editor "projects/{{project}}/locations/{{region}}/featurestores/{{featurestore}} roles/viewer user:jane@example.com" ```

IAM binding imports use space-delimited identifiers: the resource in question and the role, e.g.

```sh $ pulumi import gcp:vertex/aiFeatureStoreIamMember:AiFeatureStoreIamMember editor "projects/{{project}}/locations/{{region}}/featurestores/{{featurestore}} roles/viewer" ```

IAM policy imports use the identifier of the resource in question, e.g.

```sh $ pulumi import gcp:vertex/aiFeatureStoreIamMember:AiFeatureStoreIamMember editor projects/{{project}}/locations/{{region}}/featurestores/{{featurestore}} ```

-> **Custom Roles** If you're importing a IAM resource with a custom role, make sure to use the 

full name of the custom role, e.g. `[projects/my-project|organizations/my-org]/roles/my-custom-role`.

func GetAiFeatureStoreIamMember 

func GetAiFeatureStoreIamMember(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiFeatureStoreIamMemberState, opts ...pulumi.ResourceOption) (*AiFeatureStoreIamMember, error)

GetAiFeatureStoreIamMember gets an existing AiFeatureStoreIamMember resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiFeatureStoreIamMember 

func NewAiFeatureStoreIamMember(ctx *pulumi.Context,
	name string, args *AiFeatureStoreIamMemberArgs, opts ...pulumi.ResourceOption) (*AiFeatureStoreIamMember, error)

NewAiFeatureStoreIamMember registers a new resource with the given unique name, arguments, and options.

func (*AiFeatureStoreIamMember) ElementType 

func (*AiFeatureStoreIamMember) ElementType() reflect.Type

func (*AiFeatureStoreIamMember) ToAiFeatureStoreIamMemberOutput 

func (i *AiFeatureStoreIamMember) ToAiFeatureStoreIamMemberOutput() AiFeatureStoreIamMemberOutput

func (*AiFeatureStoreIamMember) ToAiFeatureStoreIamMemberOutputWithContext 

func (i *AiFeatureStoreIamMember) ToAiFeatureStoreIamMemberOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberOutput

type AiFeatureStoreIamMemberArgs 

type AiFeatureStoreIamMemberArgs struct {
	Condition AiFeatureStoreIamMemberConditionPtrInput
	// Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringInput
	// Identities that will be granted the privilege in `role`.
	// Each entry can have one of the following values:
	// * **allUsers**: A special identifier that represents anyone who is on the internet; with or without a Google account.
	// * **allAuthenticatedUsers**: A special identifier that represents anyone who is authenticated with a Google account or a service account.
	// * **user:{emailid}**: An email address that represents a specific Google account. For example, alice@gmail.com or joe@example.com.
	// * **serviceAccount:{emailid}**: An email address that represents a service account. For example, my-other-app@appspot.gserviceaccount.com.
	// * **group:{emailid}**: An email address that represents a Google group. For example, admins@example.com.
	// * **domain:{domain}**: A G Suite domain (primary, instead of alias) name that represents all the users of that domain. For example, google.com or example.com.
	// * **projectOwner:projectid**: Owners of the given project. For example, "projectOwner:my-example-project"
	// * **projectEditor:projectid**: Editors of the given project. For example, "projectEditor:my-example-project"
	// * **projectViewer:projectid**: Viewers of the given project. For example, "projectViewer:my-example-project"
	Member pulumi.StringInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
	Project pulumi.StringPtrInput
	// The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified,
	// the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no
	// region is specified, it is taken from the provider configuration.
	Region pulumi.StringPtrInput
	// The role that should be applied. Only one
	// `vertex.AiFeatureStoreIamBinding` can be used per role. Note that custom roles must be of the format
	// `[projects|organizations]/{parent-name}/roles/{role-name}`.
	Role pulumi.StringInput
}

The set of arguments for constructing a AiFeatureStoreIamMember resource.

func (AiFeatureStoreIamMemberArgs) ElementType 

func (AiFeatureStoreIamMemberArgs) ElementType() reflect.Type

type AiFeatureStoreIamMemberArray 

type AiFeatureStoreIamMemberArray []AiFeatureStoreIamMemberInput

func (AiFeatureStoreIamMemberArray) ElementType 

func (AiFeatureStoreIamMemberArray) ElementType() reflect.Type

func (AiFeatureStoreIamMemberArray) ToAiFeatureStoreIamMemberArrayOutput 

func (i AiFeatureStoreIamMemberArray) ToAiFeatureStoreIamMemberArrayOutput() AiFeatureStoreIamMemberArrayOutput

func (AiFeatureStoreIamMemberArray) ToAiFeatureStoreIamMemberArrayOutputWithContext 

func (i AiFeatureStoreIamMemberArray) ToAiFeatureStoreIamMemberArrayOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberArrayOutput

type AiFeatureStoreIamMemberArrayInput 

type AiFeatureStoreIamMemberArrayInput interface {
	pulumi.Input

	ToAiFeatureStoreIamMemberArrayOutput() AiFeatureStoreIamMemberArrayOutput
	ToAiFeatureStoreIamMemberArrayOutputWithContext(context.Context) AiFeatureStoreIamMemberArrayOutput
}

AiFeatureStoreIamMemberArrayInput is an input type that accepts AiFeatureStoreIamMemberArray and AiFeatureStoreIamMemberArrayOutput values. You can construct a concrete instance of `AiFeatureStoreIamMemberArrayInput` via: 

AiFeatureStoreIamMemberArray{ AiFeatureStoreIamMemberArgs{...} }

type AiFeatureStoreIamMemberArrayOutput 

type AiFeatureStoreIamMemberArrayOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamMemberArrayOutput) ElementType 

func (AiFeatureStoreIamMemberArrayOutput) ElementType() reflect.Type

func (AiFeatureStoreIamMemberArrayOutput) Index 

func (o AiFeatureStoreIamMemberArrayOutput) Index(i pulumi.IntInput) AiFeatureStoreIamMemberOutput

func (AiFeatureStoreIamMemberArrayOutput) ToAiFeatureStoreIamMemberArrayOutput 

func (o AiFeatureStoreIamMemberArrayOutput) ToAiFeatureStoreIamMemberArrayOutput() AiFeatureStoreIamMemberArrayOutput

func (AiFeatureStoreIamMemberArrayOutput) ToAiFeatureStoreIamMemberArrayOutputWithContext 

func (o AiFeatureStoreIamMemberArrayOutput) ToAiFeatureStoreIamMemberArrayOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberArrayOutput

type AiFeatureStoreIamMemberCondition 

type AiFeatureStoreIamMemberCondition struct {
	Description *string `pulumi:"description"`
	Expression  string  `pulumi:"expression"`
	Title       string  `pulumi:"title"`
}

type AiFeatureStoreIamMemberConditionArgs 

type AiFeatureStoreIamMemberConditionArgs struct {
	Description pulumi.StringPtrInput `pulumi:"description"`
	Expression  pulumi.StringInput    `pulumi:"expression"`
	Title       pulumi.StringInput    `pulumi:"title"`
}

func (AiFeatureStoreIamMemberConditionArgs) ElementType 

func (AiFeatureStoreIamMemberConditionArgs) ElementType() reflect.Type

func (AiFeatureStoreIamMemberConditionArgs) ToAiFeatureStoreIamMemberConditionOutput 

func (i AiFeatureStoreIamMemberConditionArgs) ToAiFeatureStoreIamMemberConditionOutput() AiFeatureStoreIamMemberConditionOutput

func (AiFeatureStoreIamMemberConditionArgs) ToAiFeatureStoreIamMemberConditionOutputWithContext 

func (i AiFeatureStoreIamMemberConditionArgs) ToAiFeatureStoreIamMemberConditionOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberConditionOutput

func (AiFeatureStoreIamMemberConditionArgs) ToAiFeatureStoreIamMemberConditionPtrOutput 

func (i AiFeatureStoreIamMemberConditionArgs) ToAiFeatureStoreIamMemberConditionPtrOutput() AiFeatureStoreIamMemberConditionPtrOutput

func (AiFeatureStoreIamMemberConditionArgs) ToAiFeatureStoreIamMemberConditionPtrOutputWithContext 

func (i AiFeatureStoreIamMemberConditionArgs) ToAiFeatureStoreIamMemberConditionPtrOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberConditionPtrOutput

type AiFeatureStoreIamMemberConditionInput 

type AiFeatureStoreIamMemberConditionInput interface {
	pulumi.Input

	ToAiFeatureStoreIamMemberConditionOutput() AiFeatureStoreIamMemberConditionOutput
	ToAiFeatureStoreIamMemberConditionOutputWithContext(context.Context) AiFeatureStoreIamMemberConditionOutput
}

AiFeatureStoreIamMemberConditionInput is an input type that accepts AiFeatureStoreIamMemberConditionArgs and AiFeatureStoreIamMemberConditionOutput values. You can construct a concrete instance of `AiFeatureStoreIamMemberConditionInput` via: 

AiFeatureStoreIamMemberConditionArgs{...}

type AiFeatureStoreIamMemberConditionOutput 

type AiFeatureStoreIamMemberConditionOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamMemberConditionOutput) Description 

func (o AiFeatureStoreIamMemberConditionOutput) Description() pulumi.StringPtrOutput

func (AiFeatureStoreIamMemberConditionOutput) ElementType 

func (AiFeatureStoreIamMemberConditionOutput) ElementType() reflect.Type

func (AiFeatureStoreIamMemberConditionOutput) Expression 

func (o AiFeatureStoreIamMemberConditionOutput) Expression() pulumi.StringOutput

func (AiFeatureStoreIamMemberConditionOutput) Title 

func (o AiFeatureStoreIamMemberConditionOutput) Title() pulumi.StringOutput

func (AiFeatureStoreIamMemberConditionOutput) ToAiFeatureStoreIamMemberConditionOutput 

func (o AiFeatureStoreIamMemberConditionOutput) ToAiFeatureStoreIamMemberConditionOutput() AiFeatureStoreIamMemberConditionOutput

func (AiFeatureStoreIamMemberConditionOutput) ToAiFeatureStoreIamMemberConditionOutputWithContext 

func (o AiFeatureStoreIamMemberConditionOutput) ToAiFeatureStoreIamMemberConditionOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberConditionOutput

func (AiFeatureStoreIamMemberConditionOutput) ToAiFeatureStoreIamMemberConditionPtrOutput 

func (o AiFeatureStoreIamMemberConditionOutput) ToAiFeatureStoreIamMemberConditionPtrOutput() AiFeatureStoreIamMemberConditionPtrOutput

func (AiFeatureStoreIamMemberConditionOutput) ToAiFeatureStoreIamMemberConditionPtrOutputWithContext 

func (o AiFeatureStoreIamMemberConditionOutput) ToAiFeatureStoreIamMemberConditionPtrOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberConditionPtrOutput

type AiFeatureStoreIamMemberConditionPtrInput 

type AiFeatureStoreIamMemberConditionPtrInput interface {
	pulumi.Input

	ToAiFeatureStoreIamMemberConditionPtrOutput() AiFeatureStoreIamMemberConditionPtrOutput
	ToAiFeatureStoreIamMemberConditionPtrOutputWithContext(context.Context) AiFeatureStoreIamMemberConditionPtrOutput
}

AiFeatureStoreIamMemberConditionPtrInput is an input type that accepts AiFeatureStoreIamMemberConditionArgs, AiFeatureStoreIamMemberConditionPtr and AiFeatureStoreIamMemberConditionPtrOutput values. You can construct a concrete instance of `AiFeatureStoreIamMemberConditionPtrInput` via: 

        AiFeatureStoreIamMemberConditionArgs{...}

or:

        nil

func AiFeatureStoreIamMemberConditionPtr 

func AiFeatureStoreIamMemberConditionPtr(v *AiFeatureStoreIamMemberConditionArgs) AiFeatureStoreIamMemberConditionPtrInput

type AiFeatureStoreIamMemberConditionPtrOutput 

type AiFeatureStoreIamMemberConditionPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamMemberConditionPtrOutput) Description 

func (o AiFeatureStoreIamMemberConditionPtrOutput) Description() pulumi.StringPtrOutput

func (AiFeatureStoreIamMemberConditionPtrOutput) Elem 

func (o AiFeatureStoreIamMemberConditionPtrOutput) Elem() AiFeatureStoreIamMemberConditionOutput

func (AiFeatureStoreIamMemberConditionPtrOutput) ElementType 

func (AiFeatureStoreIamMemberConditionPtrOutput) ElementType() reflect.Type

func (AiFeatureStoreIamMemberConditionPtrOutput) Expression 

func (o AiFeatureStoreIamMemberConditionPtrOutput) Expression() pulumi.StringPtrOutput

func (AiFeatureStoreIamMemberConditionPtrOutput) Title 

func (o AiFeatureStoreIamMemberConditionPtrOutput) Title() pulumi.StringPtrOutput

func (AiFeatureStoreIamMemberConditionPtrOutput) ToAiFeatureStoreIamMemberConditionPtrOutput 

func (o AiFeatureStoreIamMemberConditionPtrOutput) ToAiFeatureStoreIamMemberConditionPtrOutput() AiFeatureStoreIamMemberConditionPtrOutput

func (AiFeatureStoreIamMemberConditionPtrOutput) ToAiFeatureStoreIamMemberConditionPtrOutputWithContext 

func (o AiFeatureStoreIamMemberConditionPtrOutput) ToAiFeatureStoreIamMemberConditionPtrOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberConditionPtrOutput

type AiFeatureStoreIamMemberInput 

type AiFeatureStoreIamMemberInput interface {
	pulumi.Input

	ToAiFeatureStoreIamMemberOutput() AiFeatureStoreIamMemberOutput
	ToAiFeatureStoreIamMemberOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberOutput
}

type AiFeatureStoreIamMemberMap 

type AiFeatureStoreIamMemberMap map[string]AiFeatureStoreIamMemberInput

func (AiFeatureStoreIamMemberMap) ElementType 

func (AiFeatureStoreIamMemberMap) ElementType() reflect.Type

func (AiFeatureStoreIamMemberMap) ToAiFeatureStoreIamMemberMapOutput 

func (i AiFeatureStoreIamMemberMap) ToAiFeatureStoreIamMemberMapOutput() AiFeatureStoreIamMemberMapOutput

func (AiFeatureStoreIamMemberMap) ToAiFeatureStoreIamMemberMapOutputWithContext 

func (i AiFeatureStoreIamMemberMap) ToAiFeatureStoreIamMemberMapOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberMapOutput

type AiFeatureStoreIamMemberMapInput 

type AiFeatureStoreIamMemberMapInput interface {
	pulumi.Input

	ToAiFeatureStoreIamMemberMapOutput() AiFeatureStoreIamMemberMapOutput
	ToAiFeatureStoreIamMemberMapOutputWithContext(context.Context) AiFeatureStoreIamMemberMapOutput
}

AiFeatureStoreIamMemberMapInput is an input type that accepts AiFeatureStoreIamMemberMap and AiFeatureStoreIamMemberMapOutput values. You can construct a concrete instance of `AiFeatureStoreIamMemberMapInput` via: 

AiFeatureStoreIamMemberMap{ "key": AiFeatureStoreIamMemberArgs{...} }

type AiFeatureStoreIamMemberMapOutput 

type AiFeatureStoreIamMemberMapOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamMemberMapOutput) ElementType 

func (AiFeatureStoreIamMemberMapOutput) ElementType() reflect.Type

func (AiFeatureStoreIamMemberMapOutput) MapIndex 

func (o AiFeatureStoreIamMemberMapOutput) MapIndex(k pulumi.StringInput) AiFeatureStoreIamMemberOutput

func (AiFeatureStoreIamMemberMapOutput) ToAiFeatureStoreIamMemberMapOutput 

func (o AiFeatureStoreIamMemberMapOutput) ToAiFeatureStoreIamMemberMapOutput() AiFeatureStoreIamMemberMapOutput

func (AiFeatureStoreIamMemberMapOutput) ToAiFeatureStoreIamMemberMapOutputWithContext 

func (o AiFeatureStoreIamMemberMapOutput) ToAiFeatureStoreIamMemberMapOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberMapOutput

type AiFeatureStoreIamMemberOutput 

type AiFeatureStoreIamMemberOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamMemberOutput) Condition 

func (o AiFeatureStoreIamMemberOutput) Condition() AiFeatureStoreIamMemberConditionPtrOutput

func (AiFeatureStoreIamMemberOutput) ElementType 

func (AiFeatureStoreIamMemberOutput) ElementType() reflect.Type

func (AiFeatureStoreIamMemberOutput) Etag 

func (o AiFeatureStoreIamMemberOutput) Etag() pulumi.StringOutput

(Computed) The etag of the IAM policy.

func (AiFeatureStoreIamMemberOutput) Featurestore 

func (o AiFeatureStoreIamMemberOutput) Featurestore() pulumi.StringOutput

Used to find the parent resource to bind the IAM policy to

func (AiFeatureStoreIamMemberOutput) Member 

func (o AiFeatureStoreIamMemberOutput) Member() pulumi.StringOutput

Identities that will be granted the privilege in `role`. Each entry can have one of the following values: * **allUsers**: A special identifier that represents anyone who is on the internet; with or without a Google account. * **allAuthenticatedUsers**: A special identifier that represents anyone who is authenticated with a Google account or a service account. * **user:{emailid}**: An email address that represents a specific Google account. For example, alice@gmail.com or joe@example.com. * **serviceAccount:{emailid}**: An email address that represents a service account. For example, my-other-app@appspot.gserviceaccount.com. * **group:{emailid}**: An email address that represents a Google group. For example, admins@example.com. * **domain:{domain}**: A G Suite domain (primary, instead of alias) name that represents all the users of that domain. For example, google.com or example.com. * **projectOwner:projectid**: Owners of the given project. For example, "projectOwner:my-example-project" * **projectEditor:projectid**: Editors of the given project. For example, "projectEditor:my-example-project" * **projectViewer:projectid**: Viewers of the given project. For example, "projectViewer:my-example-project"

func (AiFeatureStoreIamMemberOutput) Project 

func (o AiFeatureStoreIamMemberOutput) Project() pulumi.StringOutput

The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.

func (AiFeatureStoreIamMemberOutput) Region 

func (o AiFeatureStoreIamMemberOutput) Region() pulumi.StringOutput

The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.

func (AiFeatureStoreIamMemberOutput) Role 

func (o AiFeatureStoreIamMemberOutput) Role() pulumi.StringOutput

The role that should be applied. Only one `vertex.AiFeatureStoreIamBinding` can be used per role. Note that custom roles must be of the format `[projects|organizations]/{parent-name}/roles/{role-name}`.

func (AiFeatureStoreIamMemberOutput) ToAiFeatureStoreIamMemberOutput 

func (o AiFeatureStoreIamMemberOutput) ToAiFeatureStoreIamMemberOutput() AiFeatureStoreIamMemberOutput

func (AiFeatureStoreIamMemberOutput) ToAiFeatureStoreIamMemberOutputWithContext 

func (o AiFeatureStoreIamMemberOutput) ToAiFeatureStoreIamMemberOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberOutput

type AiFeatureStoreIamMemberState 

type AiFeatureStoreIamMemberState struct {
	Condition AiFeatureStoreIamMemberConditionPtrInput
	// (Computed) The etag of the IAM policy.
	Etag pulumi.StringPtrInput
	// Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringPtrInput
	// Identities that will be granted the privilege in `role`.
	// Each entry can have one of the following values:
	// * **allUsers**: A special identifier that represents anyone who is on the internet; with or without a Google account.
	// * **allAuthenticatedUsers**: A special identifier that represents anyone who is authenticated with a Google account or a service account.
	// * **user:{emailid}**: An email address that represents a specific Google account. For example, alice@gmail.com or joe@example.com.
	// * **serviceAccount:{emailid}**: An email address that represents a service account. For example, my-other-app@appspot.gserviceaccount.com.
	// * **group:{emailid}**: An email address that represents a Google group. For example, admins@example.com.
	// * **domain:{domain}**: A G Suite domain (primary, instead of alias) name that represents all the users of that domain. For example, google.com or example.com.
	// * **projectOwner:projectid**: Owners of the given project. For example, "projectOwner:my-example-project"
	// * **projectEditor:projectid**: Editors of the given project. For example, "projectEditor:my-example-project"
	// * **projectViewer:projectid**: Viewers of the given project. For example, "projectViewer:my-example-project"
	Member pulumi.StringPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
	Project pulumi.StringPtrInput
	// The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified,
	// the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no
	// region is specified, it is taken from the provider configuration.
	Region pulumi.StringPtrInput
	// The role that should be applied. Only one
	// `vertex.AiFeatureStoreIamBinding` can be used per role. Note that custom roles must be of the format
	// `[projects|organizations]/{parent-name}/roles/{role-name}`.
	Role pulumi.StringPtrInput
}

func (AiFeatureStoreIamMemberState) ElementType 

func (AiFeatureStoreIamMemberState) ElementType() reflect.Type

type AiFeatureStoreIamPolicy 

type AiFeatureStoreIamPolicy struct {
	pulumi.CustomResourceState

	// (Computed) The etag of the IAM policy.
	Etag pulumi.StringOutput `pulumi:"etag"`
	// Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringOutput `pulumi:"featurestore"`
	// The policy data generated by
	// a `organizations.getIAMPolicy` data source.
	PolicyData pulumi.StringOutput `pulumi:"policyData"`
	// The ID of the project in which the resource belongs.
	// If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
	Project pulumi.StringOutput `pulumi:"project"`
	// The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified,
	// the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no
	// region is specified, it is taken from the provider configuration.
	Region pulumi.StringOutput `pulumi:"region"`
}

## Import

For all import syntaxes, the "resource in question" can take any of the following forms:

* projects/{{project}}/locations/{{region}}/featurestores/{{name}}

* {{project}}/{{region}}/{{name}}

* {{region}}/{{name}}

* {{name}}

Any variables not passed in the import command will be taken from the provider configuration.

Vertex AI featurestore IAM resources can be imported using the resource identifiers, role, and member.

IAM member imports use space-delimited identifiers: the resource in question, the role, and the member identity, e.g.

```sh $ pulumi import gcp:vertex/aiFeatureStoreIamPolicy:AiFeatureStoreIamPolicy editor "projects/{{project}}/locations/{{region}}/featurestores/{{featurestore}} roles/viewer user:jane@example.com" ```

IAM binding imports use space-delimited identifiers: the resource in question and the role, e.g.

```sh $ pulumi import gcp:vertex/aiFeatureStoreIamPolicy:AiFeatureStoreIamPolicy editor "projects/{{project}}/locations/{{region}}/featurestores/{{featurestore}} roles/viewer" ```

IAM policy imports use the identifier of the resource in question, e.g.

```sh $ pulumi import gcp:vertex/aiFeatureStoreIamPolicy:AiFeatureStoreIamPolicy editor projects/{{project}}/locations/{{region}}/featurestores/{{featurestore}} ```

-> **Custom Roles** If you're importing a IAM resource with a custom role, make sure to use the 

full name of the custom role, e.g. `[projects/my-project|organizations/my-org]/roles/my-custom-role`.

func GetAiFeatureStoreIamPolicy 

func GetAiFeatureStoreIamPolicy(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiFeatureStoreIamPolicyState, opts ...pulumi.ResourceOption) (*AiFeatureStoreIamPolicy, error)

GetAiFeatureStoreIamPolicy gets an existing AiFeatureStoreIamPolicy resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiFeatureStoreIamPolicy 

func NewAiFeatureStoreIamPolicy(ctx *pulumi.Context,
	name string, args *AiFeatureStoreIamPolicyArgs, opts ...pulumi.ResourceOption) (*AiFeatureStoreIamPolicy, error)

NewAiFeatureStoreIamPolicy registers a new resource with the given unique name, arguments, and options.

func (*AiFeatureStoreIamPolicy) ElementType 

func (*AiFeatureStoreIamPolicy) ElementType() reflect.Type

func (*AiFeatureStoreIamPolicy) ToAiFeatureStoreIamPolicyOutput 

func (i *AiFeatureStoreIamPolicy) ToAiFeatureStoreIamPolicyOutput() AiFeatureStoreIamPolicyOutput

func (*AiFeatureStoreIamPolicy) ToAiFeatureStoreIamPolicyOutputWithContext 

func (i *AiFeatureStoreIamPolicy) ToAiFeatureStoreIamPolicyOutputWithContext(ctx context.Context) AiFeatureStoreIamPolicyOutput

type AiFeatureStoreIamPolicyArgs 

type AiFeatureStoreIamPolicyArgs struct {
	// Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringInput
	// The policy data generated by
	// a `organizations.getIAMPolicy` data source.
	PolicyData pulumi.StringInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
	Project pulumi.StringPtrInput
	// The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified,
	// the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no
	// region is specified, it is taken from the provider configuration.
	Region pulumi.StringPtrInput
}

The set of arguments for constructing a AiFeatureStoreIamPolicy resource.

func (AiFeatureStoreIamPolicyArgs) ElementType 

func (AiFeatureStoreIamPolicyArgs) ElementType() reflect.Type

type AiFeatureStoreIamPolicyArray 

type AiFeatureStoreIamPolicyArray []AiFeatureStoreIamPolicyInput

func (AiFeatureStoreIamPolicyArray) ElementType 

func (AiFeatureStoreIamPolicyArray) ElementType() reflect.Type

func (AiFeatureStoreIamPolicyArray) ToAiFeatureStoreIamPolicyArrayOutput 

func (i AiFeatureStoreIamPolicyArray) ToAiFeatureStoreIamPolicyArrayOutput() AiFeatureStoreIamPolicyArrayOutput

func (AiFeatureStoreIamPolicyArray) ToAiFeatureStoreIamPolicyArrayOutputWithContext 

func (i AiFeatureStoreIamPolicyArray) ToAiFeatureStoreIamPolicyArrayOutputWithContext(ctx context.Context) AiFeatureStoreIamPolicyArrayOutput

type AiFeatureStoreIamPolicyArrayInput 

type AiFeatureStoreIamPolicyArrayInput interface {
	pulumi.Input

	ToAiFeatureStoreIamPolicyArrayOutput() AiFeatureStoreIamPolicyArrayOutput
	ToAiFeatureStoreIamPolicyArrayOutputWithContext(context.Context) AiFeatureStoreIamPolicyArrayOutput
}

AiFeatureStoreIamPolicyArrayInput is an input type that accepts AiFeatureStoreIamPolicyArray and AiFeatureStoreIamPolicyArrayOutput values. You can construct a concrete instance of `AiFeatureStoreIamPolicyArrayInput` via: 

AiFeatureStoreIamPolicyArray{ AiFeatureStoreIamPolicyArgs{...} }

type AiFeatureStoreIamPolicyArrayOutput 

type AiFeatureStoreIamPolicyArrayOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamPolicyArrayOutput) ElementType 

func (AiFeatureStoreIamPolicyArrayOutput) ElementType() reflect.Type

func (AiFeatureStoreIamPolicyArrayOutput) Index 

func (o AiFeatureStoreIamPolicyArrayOutput) Index(i pulumi.IntInput) AiFeatureStoreIamPolicyOutput

func (AiFeatureStoreIamPolicyArrayOutput) ToAiFeatureStoreIamPolicyArrayOutput 

func (o AiFeatureStoreIamPolicyArrayOutput) ToAiFeatureStoreIamPolicyArrayOutput() AiFeatureStoreIamPolicyArrayOutput

func (AiFeatureStoreIamPolicyArrayOutput) ToAiFeatureStoreIamPolicyArrayOutputWithContext 

func (o AiFeatureStoreIamPolicyArrayOutput) ToAiFeatureStoreIamPolicyArrayOutputWithContext(ctx context.Context) AiFeatureStoreIamPolicyArrayOutput

type AiFeatureStoreIamPolicyInput 

type AiFeatureStoreIamPolicyInput interface {
	pulumi.Input

	ToAiFeatureStoreIamPolicyOutput() AiFeatureStoreIamPolicyOutput
	ToAiFeatureStoreIamPolicyOutputWithContext(ctx context.Context) AiFeatureStoreIamPolicyOutput
}

type AiFeatureStoreIamPolicyMap 

type AiFeatureStoreIamPolicyMap map[string]AiFeatureStoreIamPolicyInput

func (AiFeatureStoreIamPolicyMap) ElementType 

func (AiFeatureStoreIamPolicyMap) ElementType() reflect.Type

func (AiFeatureStoreIamPolicyMap) ToAiFeatureStoreIamPolicyMapOutput 

func (i AiFeatureStoreIamPolicyMap) ToAiFeatureStoreIamPolicyMapOutput() AiFeatureStoreIamPolicyMapOutput

func (AiFeatureStoreIamPolicyMap) ToAiFeatureStoreIamPolicyMapOutputWithContext 

func (i AiFeatureStoreIamPolicyMap) ToAiFeatureStoreIamPolicyMapOutputWithContext(ctx context.Context) AiFeatureStoreIamPolicyMapOutput

type AiFeatureStoreIamPolicyMapInput 

type AiFeatureStoreIamPolicyMapInput interface {
	pulumi.Input

	ToAiFeatureStoreIamPolicyMapOutput() AiFeatureStoreIamPolicyMapOutput
	ToAiFeatureStoreIamPolicyMapOutputWithContext(context.Context) AiFeatureStoreIamPolicyMapOutput
}

AiFeatureStoreIamPolicyMapInput is an input type that accepts AiFeatureStoreIamPolicyMap and AiFeatureStoreIamPolicyMapOutput values. You can construct a concrete instance of `AiFeatureStoreIamPolicyMapInput` via: 

AiFeatureStoreIamPolicyMap{ "key": AiFeatureStoreIamPolicyArgs{...} }

type AiFeatureStoreIamPolicyMapOutput 

type AiFeatureStoreIamPolicyMapOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamPolicyMapOutput) ElementType 

func (AiFeatureStoreIamPolicyMapOutput) ElementType() reflect.Type

func (AiFeatureStoreIamPolicyMapOutput) MapIndex 

func (o AiFeatureStoreIamPolicyMapOutput) MapIndex(k pulumi.StringInput) AiFeatureStoreIamPolicyOutput

func (AiFeatureStoreIamPolicyMapOutput) ToAiFeatureStoreIamPolicyMapOutput 

func (o AiFeatureStoreIamPolicyMapOutput) ToAiFeatureStoreIamPolicyMapOutput() AiFeatureStoreIamPolicyMapOutput

func (AiFeatureStoreIamPolicyMapOutput) ToAiFeatureStoreIamPolicyMapOutputWithContext 

func (o AiFeatureStoreIamPolicyMapOutput) ToAiFeatureStoreIamPolicyMapOutputWithContext(ctx context.Context) AiFeatureStoreIamPolicyMapOutput

type AiFeatureStoreIamPolicyOutput 

type AiFeatureStoreIamPolicyOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamPolicyOutput) ElementType 

func (AiFeatureStoreIamPolicyOutput) ElementType() reflect.Type

func (AiFeatureStoreIamPolicyOutput) Etag 

func (o AiFeatureStoreIamPolicyOutput) Etag() pulumi.StringOutput

(Computed) The etag of the IAM policy.

func (AiFeatureStoreIamPolicyOutput) Featurestore 

func (o AiFeatureStoreIamPolicyOutput) Featurestore() pulumi.StringOutput

Used to find the parent resource to bind the IAM policy to

func (AiFeatureStoreIamPolicyOutput) PolicyData 

func (o AiFeatureStoreIamPolicyOutput) PolicyData() pulumi.StringOutput

The policy data generated by a `organizations.getIAMPolicy` data source.

func (AiFeatureStoreIamPolicyOutput) Project 

func (o AiFeatureStoreIamPolicyOutput) Project() pulumi.StringOutput

The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.

func (AiFeatureStoreIamPolicyOutput) Region 

func (o AiFeatureStoreIamPolicyOutput) Region() pulumi.StringOutput

The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.

func (AiFeatureStoreIamPolicyOutput) ToAiFeatureStoreIamPolicyOutput 

func (o AiFeatureStoreIamPolicyOutput) ToAiFeatureStoreIamPolicyOutput() AiFeatureStoreIamPolicyOutput

func (AiFeatureStoreIamPolicyOutput) ToAiFeatureStoreIamPolicyOutputWithContext 

func (o AiFeatureStoreIamPolicyOutput) ToAiFeatureStoreIamPolicyOutputWithContext(ctx context.Context) AiFeatureStoreIamPolicyOutput

type AiFeatureStoreIamPolicyState 

type AiFeatureStoreIamPolicyState struct {
	// (Computed) The etag of the IAM policy.
	Etag pulumi.StringPtrInput
	// Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringPtrInput
	// The policy data generated by
	// a `organizations.getIAMPolicy` data source.
	PolicyData pulumi.StringPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
	Project pulumi.StringPtrInput
	// The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified,
	// the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no
	// region is specified, it is taken from the provider configuration.
	Region pulumi.StringPtrInput
}

func (AiFeatureStoreIamPolicyState) ElementType 

func (AiFeatureStoreIamPolicyState) ElementType() reflect.Type

type AiFeatureStoreInput 

type AiFeatureStoreInput interface {
	pulumi.Input

	ToAiFeatureStoreOutput() AiFeatureStoreOutput
	ToAiFeatureStoreOutputWithContext(ctx context.Context) AiFeatureStoreOutput
}

type AiFeatureStoreMap 

type AiFeatureStoreMap map[string]AiFeatureStoreInput

func (AiFeatureStoreMap) ElementType 

func (AiFeatureStoreMap) ElementType() reflect.Type

func (AiFeatureStoreMap) ToAiFeatureStoreMapOutput 

func (i AiFeatureStoreMap) ToAiFeatureStoreMapOutput() AiFeatureStoreMapOutput

func (AiFeatureStoreMap) ToAiFeatureStoreMapOutputWithContext 

func (i AiFeatureStoreMap) ToAiFeatureStoreMapOutputWithContext(ctx context.Context) AiFeatureStoreMapOutput

type AiFeatureStoreMapInput 

type AiFeatureStoreMapInput interface {
	pulumi.Input

	ToAiFeatureStoreMapOutput() AiFeatureStoreMapOutput
	ToAiFeatureStoreMapOutputWithContext(context.Context) AiFeatureStoreMapOutput
}

AiFeatureStoreMapInput is an input type that accepts AiFeatureStoreMap and AiFeatureStoreMapOutput values. You can construct a concrete instance of `AiFeatureStoreMapInput` via: 

AiFeatureStoreMap{ "key": AiFeatureStoreArgs{...} }

type AiFeatureStoreMapOutput 

type AiFeatureStoreMapOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreMapOutput) ElementType 

func (AiFeatureStoreMapOutput) ElementType() reflect.Type

func (AiFeatureStoreMapOutput) MapIndex 

func (o AiFeatureStoreMapOutput) MapIndex(k pulumi.StringInput) AiFeatureStoreOutput

func (AiFeatureStoreMapOutput) ToAiFeatureStoreMapOutput 

func (o AiFeatureStoreMapOutput) ToAiFeatureStoreMapOutput() AiFeatureStoreMapOutput

func (AiFeatureStoreMapOutput) ToAiFeatureStoreMapOutputWithContext 

func (o AiFeatureStoreMapOutput) ToAiFeatureStoreMapOutputWithContext(ctx context.Context) AiFeatureStoreMapOutput

type AiFeatureStoreOnlineServingConfig 

type AiFeatureStoreOnlineServingConfig struct {
	// The number of nodes for each cluster. The number of nodes will not scale automatically but can be scaled manually by providing different values when updating.
	FixedNodeCount *int `pulumi:"fixedNodeCount"`
	// Online serving scaling configuration. Only one of fixedNodeCount and scaling can be set. Setting one will reset the other.
	// Structure is documented below.
	Scaling *AiFeatureStoreOnlineServingConfigScaling `pulumi:"scaling"`
}

type AiFeatureStoreOnlineServingConfigArgs 

type AiFeatureStoreOnlineServingConfigArgs struct {
	// The number of nodes for each cluster. The number of nodes will not scale automatically but can be scaled manually by providing different values when updating.
	FixedNodeCount pulumi.IntPtrInput `pulumi:"fixedNodeCount"`
	// Online serving scaling configuration. Only one of fixedNodeCount and scaling can be set. Setting one will reset the other.
	// Structure is documented below.
	Scaling AiFeatureStoreOnlineServingConfigScalingPtrInput `pulumi:"scaling"`
}

func (AiFeatureStoreOnlineServingConfigArgs) ElementType 

func (AiFeatureStoreOnlineServingConfigArgs) ElementType() reflect.Type

func (AiFeatureStoreOnlineServingConfigArgs) ToAiFeatureStoreOnlineServingConfigOutput 

func (i AiFeatureStoreOnlineServingConfigArgs) ToAiFeatureStoreOnlineServingConfigOutput() AiFeatureStoreOnlineServingConfigOutput

func (AiFeatureStoreOnlineServingConfigArgs) ToAiFeatureStoreOnlineServingConfigOutputWithContext 

func (i AiFeatureStoreOnlineServingConfigArgs) ToAiFeatureStoreOnlineServingConfigOutputWithContext(ctx context.Context) AiFeatureStoreOnlineServingConfigOutput

func (AiFeatureStoreOnlineServingConfigArgs) ToAiFeatureStoreOnlineServingConfigPtrOutput 

func (i AiFeatureStoreOnlineServingConfigArgs) ToAiFeatureStoreOnlineServingConfigPtrOutput() AiFeatureStoreOnlineServingConfigPtrOutput

func (AiFeatureStoreOnlineServingConfigArgs) ToAiFeatureStoreOnlineServingConfigPtrOutputWithContext 

func (i AiFeatureStoreOnlineServingConfigArgs) ToAiFeatureStoreOnlineServingConfigPtrOutputWithContext(ctx context.Context) AiFeatureStoreOnlineServingConfigPtrOutput

type AiFeatureStoreOnlineServingConfigInput 

type AiFeatureStoreOnlineServingConfigInput interface {
	pulumi.Input

	ToAiFeatureStoreOnlineServingConfigOutput() AiFeatureStoreOnlineServingConfigOutput
	ToAiFeatureStoreOnlineServingConfigOutputWithContext(context.Context) AiFeatureStoreOnlineServingConfigOutput
}

AiFeatureStoreOnlineServingConfigInput is an input type that accepts AiFeatureStoreOnlineServingConfigArgs and AiFeatureStoreOnlineServingConfigOutput values. You can construct a concrete instance of `AiFeatureStoreOnlineServingConfigInput` via: 

AiFeatureStoreOnlineServingConfigArgs{...}

type AiFeatureStoreOnlineServingConfigOutput 

type AiFeatureStoreOnlineServingConfigOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreOnlineServingConfigOutput) ElementType 

func (AiFeatureStoreOnlineServingConfigOutput) ElementType() reflect.Type

func (AiFeatureStoreOnlineServingConfigOutput) FixedNodeCount 

func (o AiFeatureStoreOnlineServingConfigOutput) FixedNodeCount() pulumi.IntPtrOutput

The number of nodes for each cluster. The number of nodes will not scale automatically but can be scaled manually by providing different values when updating.

func (AiFeatureStoreOnlineServingConfigOutput) Scaling 

func (o AiFeatureStoreOnlineServingConfigOutput) Scaling() AiFeatureStoreOnlineServingConfigScalingPtrOutput

Online serving scaling configuration. Only one of fixedNodeCount and scaling can be set. Setting one will reset the other. Structure is documented below.

func (AiFeatureStoreOnlineServingConfigOutput) ToAiFeatureStoreOnlineServingConfigOutput 

func (o AiFeatureStoreOnlineServingConfigOutput) ToAiFeatureStoreOnlineServingConfigOutput() AiFeatureStoreOnlineServingConfigOutput

func (AiFeatureStoreOnlineServingConfigOutput) ToAiFeatureStoreOnlineServingConfigOutputWithContext 

func (o AiFeatureStoreOnlineServingConfigOutput) ToAiFeatureStoreOnlineServingConfigOutputWithContext(ctx context.Context) AiFeatureStoreOnlineServingConfigOutput

func (AiFeatureStoreOnlineServingConfigOutput) ToAiFeatureStoreOnlineServingConfigPtrOutput 

func (o AiFeatureStoreOnlineServingConfigOutput) ToAiFeatureStoreOnlineServingConfigPtrOutput() AiFeatureStoreOnlineServingConfigPtrOutput

func (AiFeatureStoreOnlineServingConfigOutput) ToAiFeatureStoreOnlineServingConfigPtrOutputWithContext 

func (o AiFeatureStoreOnlineServingConfigOutput) ToAiFeatureStoreOnlineServingConfigPtrOutputWithContext(ctx context.Context) AiFeatureStoreOnlineServingConfigPtrOutput

type AiFeatureStoreOnlineServingConfigPtrInput 

type AiFeatureStoreOnlineServingConfigPtrInput interface {
	pulumi.Input

	ToAiFeatureStoreOnlineServingConfigPtrOutput() AiFeatureStoreOnlineServingConfigPtrOutput
	ToAiFeatureStoreOnlineServingConfigPtrOutputWithContext(context.Context) AiFeatureStoreOnlineServingConfigPtrOutput
}

AiFeatureStoreOnlineServingConfigPtrInput is an input type that accepts AiFeatureStoreOnlineServingConfigArgs, AiFeatureStoreOnlineServingConfigPtr and AiFeatureStoreOnlineServingConfigPtrOutput values. You can construct a concrete instance of `AiFeatureStoreOnlineServingConfigPtrInput` via: 

        AiFeatureStoreOnlineServingConfigArgs{...}

or:

        nil

func AiFeatureStoreOnlineServingConfigPtr 

func AiFeatureStoreOnlineServingConfigPtr(v *AiFeatureStoreOnlineServingConfigArgs) AiFeatureStoreOnlineServingConfigPtrInput

type AiFeatureStoreOnlineServingConfigPtrOutput 

type AiFeatureStoreOnlineServingConfigPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreOnlineServingConfigPtrOutput) Elem 

func (o AiFeatureStoreOnlineServingConfigPtrOutput) Elem() AiFeatureStoreOnlineServingConfigOutput

func (AiFeatureStoreOnlineServingConfigPtrOutput) ElementType 

func (AiFeatureStoreOnlineServingConfigPtrOutput) ElementType() reflect.Type

func (AiFeatureStoreOnlineServingConfigPtrOutput) FixedNodeCount 

func (o AiFeatureStoreOnlineServingConfigPtrOutput) FixedNodeCount() pulumi.IntPtrOutput

The number of nodes for each cluster. The number of nodes will not scale automatically but can be scaled manually by providing different values when updating.

func (AiFeatureStoreOnlineServingConfigPtrOutput) Scaling 

func (o AiFeatureStoreOnlineServingConfigPtrOutput) Scaling() AiFeatureStoreOnlineServingConfigScalingPtrOutput

Online serving scaling configuration. Only one of fixedNodeCount and scaling can be set. Setting one will reset the other. Structure is documented below.

func (AiFeatureStoreOnlineServingConfigPtrOutput) ToAiFeatureStoreOnlineServingConfigPtrOutput 

func (o AiFeatureStoreOnlineServingConfigPtrOutput) ToAiFeatureStoreOnlineServingConfigPtrOutput() AiFeatureStoreOnlineServingConfigPtrOutput

func (AiFeatureStoreOnlineServingConfigPtrOutput) ToAiFeatureStoreOnlineServingConfigPtrOutputWithContext 

func (o AiFeatureStoreOnlineServingConfigPtrOutput) ToAiFeatureStoreOnlineServingConfigPtrOutputWithContext(ctx context.Context) AiFeatureStoreOnlineServingConfigPtrOutput

type AiFeatureStoreOnlineServingConfigScaling 

type AiFeatureStoreOnlineServingConfigScaling struct {
	// The maximum number of nodes to scale up to. Must be greater than minNodeCount, and less than or equal to 10 times of 'minNodeCount'.
	MaxNodeCount int `pulumi:"maxNodeCount"`
	// The minimum number of nodes to scale down to. Must be greater than or equal to 1.
	MinNodeCount int `pulumi:"minNodeCount"`
}

type AiFeatureStoreOnlineServingConfigScalingArgs 

type AiFeatureStoreOnlineServingConfigScalingArgs struct {
	// The maximum number of nodes to scale up to. Must be greater than minNodeCount, and less than or equal to 10 times of 'minNodeCount'.
	MaxNodeCount pulumi.IntInput `pulumi:"maxNodeCount"`
	// The minimum number of nodes to scale down to. Must be greater than or equal to 1.
	MinNodeCount pulumi.IntInput `pulumi:"minNodeCount"`
}

func (AiFeatureStoreOnlineServingConfigScalingArgs) ElementType 

func (AiFeatureStoreOnlineServingConfigScalingArgs) ElementType() reflect.Type

func (AiFeatureStoreOnlineServingConfigScalingArgs) ToAiFeatureStoreOnlineServingConfigScalingOutput 

func (i AiFeatureStoreOnlineServingConfigScalingArgs) ToAiFeatureStoreOnlineServingConfigScalingOutput() AiFeatureStoreOnlineServingConfigScalingOutput

func (AiFeatureStoreOnlineServingConfigScalingArgs) ToAiFeatureStoreOnlineServingConfigScalingOutputWithContext 

func (i AiFeatureStoreOnlineServingConfigScalingArgs) ToAiFeatureStoreOnlineServingConfigScalingOutputWithContext(ctx context.Context) AiFeatureStoreOnlineServingConfigScalingOutput

func (AiFeatureStoreOnlineServingConfigScalingArgs) ToAiFeatureStoreOnlineServingConfigScalingPtrOutput 

func (i AiFeatureStoreOnlineServingConfigScalingArgs) ToAiFeatureStoreOnlineServingConfigScalingPtrOutput() AiFeatureStoreOnlineServingConfigScalingPtrOutput

func (AiFeatureStoreOnlineServingConfigScalingArgs) ToAiFeatureStoreOnlineServingConfigScalingPtrOutputWithContext 

func (i AiFeatureStoreOnlineServingConfigScalingArgs) ToAiFeatureStoreOnlineServingConfigScalingPtrOutputWithContext(ctx context.Context) AiFeatureStoreOnlineServingConfigScalingPtrOutput

type AiFeatureStoreOnlineServingConfigScalingInput 

type AiFeatureStoreOnlineServingConfigScalingInput interface {
	pulumi.Input

	ToAiFeatureStoreOnlineServingConfigScalingOutput() AiFeatureStoreOnlineServingConfigScalingOutput
	ToAiFeatureStoreOnlineServingConfigScalingOutputWithContext(context.Context) AiFeatureStoreOnlineServingConfigScalingOutput
}

AiFeatureStoreOnlineServingConfigScalingInput is an input type that accepts AiFeatureStoreOnlineServingConfigScalingArgs and AiFeatureStoreOnlineServingConfigScalingOutput values. You can construct a concrete instance of `AiFeatureStoreOnlineServingConfigScalingInput` via: 

AiFeatureStoreOnlineServingConfigScalingArgs{...}

type AiFeatureStoreOnlineServingConfigScalingOutput 

type AiFeatureStoreOnlineServingConfigScalingOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreOnlineServingConfigScalingOutput) ElementType 

func (AiFeatureStoreOnlineServingConfigScalingOutput) ElementType() reflect.Type

func (AiFeatureStoreOnlineServingConfigScalingOutput) MaxNodeCount 

func (o AiFeatureStoreOnlineServingConfigScalingOutput) MaxNodeCount() pulumi.IntOutput

The maximum number of nodes to scale up to. Must be greater than minNodeCount, and less than or equal to 10 times of 'minNodeCount'.

func (AiFeatureStoreOnlineServingConfigScalingOutput) MinNodeCount 

func (o AiFeatureStoreOnlineServingConfigScalingOutput) MinNodeCount() pulumi.IntOutput

The minimum number of nodes to scale down to. Must be greater than or equal to 1.

func (AiFeatureStoreOnlineServingConfigScalingOutput) ToAiFeatureStoreOnlineServingConfigScalingOutput 

func (o AiFeatureStoreOnlineServingConfigScalingOutput) ToAiFeatureStoreOnlineServingConfigScalingOutput() AiFeatureStoreOnlineServingConfigScalingOutput

func (AiFeatureStoreOnlineServingConfigScalingOutput) ToAiFeatureStoreOnlineServingConfigScalingOutputWithContext 

func (o AiFeatureStoreOnlineServingConfigScalingOutput) ToAiFeatureStoreOnlineServingConfigScalingOutputWithContext(ctx context.Context) AiFeatureStoreOnlineServingConfigScalingOutput

func (AiFeatureStoreOnlineServingConfigScalingOutput) ToAiFeatureStoreOnlineServingConfigScalingPtrOutput 

func (o AiFeatureStoreOnlineServingConfigScalingOutput) ToAiFeatureStoreOnlineServingConfigScalingPtrOutput() AiFeatureStoreOnlineServingConfigScalingPtrOutput

func (AiFeatureStoreOnlineServingConfigScalingOutput) ToAiFeatureStoreOnlineServingConfigScalingPtrOutputWithContext 

func (o AiFeatureStoreOnlineServingConfigScalingOutput) ToAiFeatureStoreOnlineServingConfigScalingPtrOutputWithContext(ctx context.Context) AiFeatureStoreOnlineServingConfigScalingPtrOutput

type AiFeatureStoreOnlineServingConfigScalingPtrInput 

type AiFeatureStoreOnlineServingConfigScalingPtrInput interface {
	pulumi.Input

	ToAiFeatureStoreOnlineServingConfigScalingPtrOutput() AiFeatureStoreOnlineServingConfigScalingPtrOutput
	ToAiFeatureStoreOnlineServingConfigScalingPtrOutputWithContext(context.Context) AiFeatureStoreOnlineServingConfigScalingPtrOutput
}

AiFeatureStoreOnlineServingConfigScalingPtrInput is an input type that accepts AiFeatureStoreOnlineServingConfigScalingArgs, AiFeatureStoreOnlineServingConfigScalingPtr and AiFeatureStoreOnlineServingConfigScalingPtrOutput values. You can construct a concrete instance of `AiFeatureStoreOnlineServingConfigScalingPtrInput` via: 

        AiFeatureStoreOnlineServingConfigScalingArgs{...}

or:

        nil

func AiFeatureStoreOnlineServingConfigScalingPtr 

func AiFeatureStoreOnlineServingConfigScalingPtr(v *AiFeatureStoreOnlineServingConfigScalingArgs) AiFeatureStoreOnlineServingConfigScalingPtrInput

type AiFeatureStoreOnlineServingConfigScalingPtrOutput 

type AiFeatureStoreOnlineServingConfigScalingPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreOnlineServingConfigScalingPtrOutput) Elem 

func (o AiFeatureStoreOnlineServingConfigScalingPtrOutput) Elem() AiFeatureStoreOnlineServingConfigScalingOutput

func (AiFeatureStoreOnlineServingConfigScalingPtrOutput) ElementType 

func (AiFeatureStoreOnlineServingConfigScalingPtrOutput) ElementType() reflect.Type

func (AiFeatureStoreOnlineServingConfigScalingPtrOutput) MaxNodeCount 

func (o AiFeatureStoreOnlineServingConfigScalingPtrOutput) MaxNodeCount() pulumi.IntPtrOutput

The maximum number of nodes to scale up to. Must be greater than minNodeCount, and less than or equal to 10 times of 'minNodeCount'.

func (AiFeatureStoreOnlineServingConfigScalingPtrOutput) MinNodeCount 

func (o AiFeatureStoreOnlineServingConfigScalingPtrOutput) MinNodeCount() pulumi.IntPtrOutput

The minimum number of nodes to scale down to. Must be greater than or equal to 1.

func (AiFeatureStoreOnlineServingConfigScalingPtrOutput) ToAiFeatureStoreOnlineServingConfigScalingPtrOutput 

func (o AiFeatureStoreOnlineServingConfigScalingPtrOutput) ToAiFeatureStoreOnlineServingConfigScalingPtrOutput() AiFeatureStoreOnlineServingConfigScalingPtrOutput

func (AiFeatureStoreOnlineServingConfigScalingPtrOutput) ToAiFeatureStoreOnlineServingConfigScalingPtrOutputWithContext 

func (o AiFeatureStoreOnlineServingConfigScalingPtrOutput) ToAiFeatureStoreOnlineServingConfigScalingPtrOutputWithContext(ctx context.Context) AiFeatureStoreOnlineServingConfigScalingPtrOutput

type AiFeatureStoreOutput 

type AiFeatureStoreOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreOutput) CreateTime 

func (o AiFeatureStoreOutput) CreateTime() pulumi.StringOutput

The timestamp of when the featurestore was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

func (AiFeatureStoreOutput) EffectiveLabels 

func (o AiFeatureStoreOutput) EffectiveLabels() pulumi.StringMapOutput

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

func (AiFeatureStoreOutput) ElementType 

func (AiFeatureStoreOutput) ElementType() reflect.Type

func (AiFeatureStoreOutput) EncryptionSpec 

func (o AiFeatureStoreOutput) EncryptionSpec() AiFeatureStoreEncryptionSpecPtrOutput

If set, both of the online and offline data storage will be secured by this key. Structure is documented below.

func (AiFeatureStoreOutput) Etag 

func (o AiFeatureStoreOutput) Etag() pulumi.StringOutput

Used to perform consistent read-modify-write updates.

func (AiFeatureStoreOutput) ForceDestroy 

func (o AiFeatureStoreOutput) ForceDestroy() pulumi.BoolPtrOutput

If set to true, any EntityTypes and Features for this Featurestore will also be deleted

func (AiFeatureStoreOutput) Labels 

func (o AiFeatureStoreOutput) Labels() pulumi.StringMapOutput

A set of key/value label pairs to assign to this Featurestore.

**Note**: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field `effectiveLabels` for all of the labels present on the resource.

func (AiFeatureStoreOutput) Name 

func (o AiFeatureStoreOutput) Name() pulumi.StringOutput

The name of the Featurestore. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.

func (AiFeatureStoreOutput) OnlineServingConfig 

func (o AiFeatureStoreOutput) OnlineServingConfig() AiFeatureStoreOnlineServingConfigPtrOutput

Config for online serving resources. Structure is documented below.

func (AiFeatureStoreOutput) OnlineStorageTtlDays 

func (o AiFeatureStoreOutput) OnlineStorageTtlDays() pulumi.IntPtrOutput

TTL in days for feature values that will be stored in online serving storage. The Feature Store online storage periodically removes obsolete feature values older than onlineStorageTtlDays since the feature generation time. Note that onlineStorageTtlDays should be less than or equal to offlineStorageTtlDays for each EntityType under a featurestore. If not set, default to 4000 days

func (AiFeatureStoreOutput) Project 

func (o AiFeatureStoreOutput) Project() pulumi.StringOutput

The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

func (AiFeatureStoreOutput) PulumiLabels 

func (o AiFeatureStoreOutput) PulumiLabels() pulumi.StringMapOutput

The combination of labels configured directly on the resource and default labels configured on the provider.

func (AiFeatureStoreOutput) Region 

func (o AiFeatureStoreOutput) Region() pulumi.StringOutput

The region of the dataset. eg us-central1

func (AiFeatureStoreOutput) ToAiFeatureStoreOutput 

func (o AiFeatureStoreOutput) ToAiFeatureStoreOutput() AiFeatureStoreOutput

func (AiFeatureStoreOutput) ToAiFeatureStoreOutputWithContext 

func (o AiFeatureStoreOutput) ToAiFeatureStoreOutputWithContext(ctx context.Context) AiFeatureStoreOutput

func (AiFeatureStoreOutput) UpdateTime 

func (o AiFeatureStoreOutput) UpdateTime() pulumi.StringOutput

The timestamp of when the featurestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

type AiFeatureStoreState 

type AiFeatureStoreState struct {
	// The timestamp of when the featurestore was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringPtrInput
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapInput
	// If set, both of the online and offline data storage will be secured by this key.
	// Structure is documented below.
	EncryptionSpec AiFeatureStoreEncryptionSpecPtrInput
	// Used to perform consistent read-modify-write updates.
	Etag pulumi.StringPtrInput
	// If set to true, any EntityTypes and Features for this Featurestore will also be deleted
	ForceDestroy pulumi.BoolPtrInput
	// A set of key/value label pairs to assign to this Featurestore.
	//
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// The name of the Featurestore. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.
	Name pulumi.StringPtrInput
	// Config for online serving resources.
	// Structure is documented below.
	OnlineServingConfig AiFeatureStoreOnlineServingConfigPtrInput
	// TTL in days for feature values that will be stored in online serving storage. The Feature Store online storage periodically removes obsolete feature values older than onlineStorageTtlDays since the feature generation time. Note that onlineStorageTtlDays should be less than or equal to offlineStorageTtlDays for each EntityType under a featurestore. If not set, default to 4000 days
	OnlineStorageTtlDays pulumi.IntPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapInput
	// The region of the dataset. eg us-central1
	Region pulumi.StringPtrInput
	// The timestamp of when the featurestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringPtrInput
}

func (AiFeatureStoreState) ElementType 

func (AiFeatureStoreState) ElementType() reflect.Type

type AiIndex 

type AiIndex struct {
	pulumi.CustomResourceState

	// The timestamp of when the Index was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringOutput `pulumi:"createTime"`
	// The pointers to DeployedIndexes created from this Index. An Index can be only deleted if all its DeployedIndexes had been undeployed first.
	// Structure is documented below.
	DeployedIndexes AiIndexDeployedIndexArrayOutput `pulumi:"deployedIndexes"`
	// The description of the Index.
	Description pulumi.StringPtrOutput `pulumi:"description"`
	// The display name of the Index. The name can be up to 128 characters long and can consist of any UTF-8 characters.
	//
	// ***
	DisplayName pulumi.StringOutput `pulumi:"displayName"`
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapOutput `pulumi:"effectiveLabels"`
	// Used to perform consistent read-modify-write updates.
	Etag pulumi.StringOutput `pulumi:"etag"`
	// Stats of the index resource.
	// Structure is documented below.
	IndexStats AiIndexIndexStatArrayOutput `pulumi:"indexStats"`
	// The update method to use with this Index. The value must be the followings. If not set, BATCH_UPDATE will be used by default.
	// * BATCH_UPDATE: user can call indexes.patch with files on Cloud Storage of datapoints to update.
	// * STREAM_UPDATE: user can call indexes.upsertDatapoints/DeleteDatapoints to update the Index and the updates will be applied in corresponding DeployedIndexes in nearly real-time.
	IndexUpdateMethod pulumi.StringPtrOutput `pulumi:"indexUpdateMethod"`
	// The labels with user-defined metadata to organize your Indexes.
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapOutput `pulumi:"labels"`
	// An additional information about the Index
	// Structure is documented below.
	Metadata AiIndexMetadataPtrOutput `pulumi:"metadata"`
	// Points to a YAML file stored on Google Cloud Storage describing additional information about the Index, that is specific to it. Unset if the Index does not have any additional information.
	MetadataSchemaUri pulumi.StringOutput `pulumi:"metadataSchemaUri"`
	// The resource name of the Index.
	Name pulumi.StringOutput `pulumi:"name"`
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringOutput `pulumi:"project"`
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapOutput `pulumi:"pulumiLabels"`
	// The region of the index. eg us-central1
	Region pulumi.StringPtrOutput `pulumi:"region"`
	// The timestamp of when the Index was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringOutput `pulumi:"updateTime"`
}

A representation of a collection of database items organized in a way that allows for approximate nearest neighbor (a.k.a ANN) algorithms search.

To get more information about Index, see:

* [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.indexes/)

## Example Usage

### Vertex Ai Index

```go package main

import ( 

"fmt"

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/storage"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		bucket, err := storage.NewBucket(ctx, "bucket", &storage.BucketArgs{
			Name:                     pulumi.String("vertex-ai-index-test"),
			Location:                 pulumi.String("us-central1"),
			UniformBucketLevelAccess: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		// The sample data comes from the following link:
		// https://cloud.google.com/vertex-ai/docs/matching-engine/filtering#specify-namespaces-tokens
		_, err = storage.NewBucketObject(ctx, "data", &storage.BucketObjectArgs{
			Name:    pulumi.String("contents/data.json"),
			Bucket:  bucket.Name,
			Content: pulumi.String("{\"id\": \"42\", \"embedding\": [0.5, 1.0], \"restricts\": [{\"namespace\": \"class\", \"allow\": [\"cat\", \"pet\"]},{\"namespace\": \"category\", \"allow\": [\"feline\"]}]}\n{\"id\": \"43\", \"embedding\": [0.6, 1.0], \"restricts\": [{\"namespace\": \"class\", \"allow\": [\"dog\", \"pet\"]},{\"namespace\": \"category\", \"allow\": [\"canine\"]}]}\n"),
		})
		if err != nil {
			return err
		}
		_, err = vertex.NewAiIndex(ctx, "index", &vertex.AiIndexArgs{
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region:      pulumi.String("us-central1"),
			DisplayName: pulumi.String("test-index"),
			Description: pulumi.String("index for test"),
			Metadata: &vertex.AiIndexMetadataArgs{
				ContentsDeltaUri: bucket.Name.ApplyT(func(name string) (string, error) {
					return fmt.Sprintf("gs://%v/contents", name), nil
				}).(pulumi.StringOutput),
				Config: &vertex.AiIndexMetadataConfigArgs{
					Dimensions:                pulumi.Int(2),
					ApproximateNeighborsCount: pulumi.Int(150),
					ShardSize:                 pulumi.String("SHARD_SIZE_SMALL"),
					DistanceMeasureType:       pulumi.String("DOT_PRODUCT_DISTANCE"),
					AlgorithmConfig: &vertex.AiIndexMetadataConfigAlgorithmConfigArgs{
						TreeAhConfig: &vertex.AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs{
							LeafNodeEmbeddingCount:   pulumi.Int(500),
							LeafNodesToSearchPercent: pulumi.Int(7),
						},
					},
				},
			},
			IndexUpdateMethod: pulumi.String("BATCH_UPDATE"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

``` ### Vertex Ai Index Streaming

```go package main

import ( 

"fmt"

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/storage"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		bucket, err := storage.NewBucket(ctx, "bucket", &storage.BucketArgs{
			Name:                     pulumi.String("vertex-ai-index-test"),
			Location:                 pulumi.String("us-central1"),
			UniformBucketLevelAccess: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		// The sample data comes from the following link:
		// https://cloud.google.com/vertex-ai/docs/matching-engine/filtering#specify-namespaces-tokens
		_, err = storage.NewBucketObject(ctx, "data", &storage.BucketObjectArgs{
			Name:    pulumi.String("contents/data.json"),
			Bucket:  bucket.Name,
			Content: pulumi.String("{\"id\": \"42\", \"embedding\": [0.5, 1.0], \"restricts\": [{\"namespace\": \"class\", \"allow\": [\"cat\", \"pet\"]},{\"namespace\": \"category\", \"allow\": [\"feline\"]}]}\n{\"id\": \"43\", \"embedding\": [0.6, 1.0], \"restricts\": [{\"namespace\": \"class\", \"allow\": [\"dog\", \"pet\"]},{\"namespace\": \"category\", \"allow\": [\"canine\"]}]}\n"),
		})
		if err != nil {
			return err
		}
		_, err = vertex.NewAiIndex(ctx, "index", &vertex.AiIndexArgs{
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region:      pulumi.String("us-central1"),
			DisplayName: pulumi.String("test-index"),
			Description: pulumi.String("index for test"),
			Metadata: &vertex.AiIndexMetadataArgs{
				ContentsDeltaUri: bucket.Name.ApplyT(func(name string) (string, error) {
					return fmt.Sprintf("gs://%v/contents", name), nil
				}).(pulumi.StringOutput),
				Config: &vertex.AiIndexMetadataConfigArgs{
					Dimensions:          pulumi.Int(2),
					ShardSize:           pulumi.String("SHARD_SIZE_LARGE"),
					DistanceMeasureType: pulumi.String("COSINE_DISTANCE"),
					FeatureNormType:     pulumi.String("UNIT_L2_NORM"),
					AlgorithmConfig: &vertex.AiIndexMetadataConfigAlgorithmConfigArgs{
						BruteForceConfig: &vertex.AiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs{},
					},
				},
			},
			IndexUpdateMethod: pulumi.String("STREAM_UPDATE"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

```

## Import

Index can be imported using any of these accepted formats:

* `projects/{{project}}/locations/{{region}}/indexes/{{name}}`

* `{{project}}/{{region}}/{{name}}`

* `{{region}}/{{name}}`

* `{{name}}`

When using the `pulumi import` command, Index can be imported using one of the formats above. For example:

```sh $ pulumi import gcp:vertex/aiIndex:AiIndex default projects/{{project}}/locations/{{region}}/indexes/{{name}} ```

```sh $ pulumi import gcp:vertex/aiIndex:AiIndex default {{project}}/{{region}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiIndex:AiIndex default {{region}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiIndex:AiIndex default {{name}} ```

func GetAiIndex 

func GetAiIndex(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiIndexState, opts ...pulumi.ResourceOption) (*AiIndex, error)

GetAiIndex gets an existing AiIndex resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiIndex 

func NewAiIndex(ctx *pulumi.Context,
	name string, args *AiIndexArgs, opts ...pulumi.ResourceOption) (*AiIndex, error)

NewAiIndex registers a new resource with the given unique name, arguments, and options.

func (*AiIndex) ElementType 

func (*AiIndex) ElementType() reflect.Type

func (*AiIndex) ToAiIndexOutput 

func (i *AiIndex) ToAiIndexOutput() AiIndexOutput

func (*AiIndex) ToAiIndexOutputWithContext 

func (i *AiIndex) ToAiIndexOutputWithContext(ctx context.Context) AiIndexOutput

type AiIndexArgs 

type AiIndexArgs struct {
	// The description of the Index.
	Description pulumi.StringPtrInput
	// The display name of the Index. The name can be up to 128 characters long and can consist of any UTF-8 characters.
	//
	// ***
	DisplayName pulumi.StringInput
	// The update method to use with this Index. The value must be the followings. If not set, BATCH_UPDATE will be used by default.
	// * BATCH_UPDATE: user can call indexes.patch with files on Cloud Storage of datapoints to update.
	// * STREAM_UPDATE: user can call indexes.upsertDatapoints/DeleteDatapoints to update the Index and the updates will be applied in corresponding DeployedIndexes in nearly real-time.
	IndexUpdateMethod pulumi.StringPtrInput
	// The labels with user-defined metadata to organize your Indexes.
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// An additional information about the Index
	// Structure is documented below.
	Metadata AiIndexMetadataPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The region of the index. eg us-central1
	Region pulumi.StringPtrInput
}

The set of arguments for constructing a AiIndex resource.

func (AiIndexArgs) ElementType 

func (AiIndexArgs) ElementType() reflect.Type

type AiIndexArray 

type AiIndexArray []AiIndexInput

func (AiIndexArray) ElementType 

func (AiIndexArray) ElementType() reflect.Type

func (AiIndexArray) ToAiIndexArrayOutput 

func (i AiIndexArray) ToAiIndexArrayOutput() AiIndexArrayOutput

func (AiIndexArray) ToAiIndexArrayOutputWithContext 

func (i AiIndexArray) ToAiIndexArrayOutputWithContext(ctx context.Context) AiIndexArrayOutput

type AiIndexArrayInput 

type AiIndexArrayInput interface {
	pulumi.Input

	ToAiIndexArrayOutput() AiIndexArrayOutput
	ToAiIndexArrayOutputWithContext(context.Context) AiIndexArrayOutput
}

AiIndexArrayInput is an input type that accepts AiIndexArray and AiIndexArrayOutput values. You can construct a concrete instance of `AiIndexArrayInput` via: 

AiIndexArray{ AiIndexArgs{...} }

type AiIndexArrayOutput 

type AiIndexArrayOutput struct{ *pulumi.OutputState }

func (AiIndexArrayOutput) ElementType 

func (AiIndexArrayOutput) ElementType() reflect.Type

func (AiIndexArrayOutput) Index 

func (o AiIndexArrayOutput) Index(i pulumi.IntInput) AiIndexOutput

func (AiIndexArrayOutput) ToAiIndexArrayOutput 

func (o AiIndexArrayOutput) ToAiIndexArrayOutput() AiIndexArrayOutput

func (AiIndexArrayOutput) ToAiIndexArrayOutputWithContext 

func (o AiIndexArrayOutput) ToAiIndexArrayOutputWithContext(ctx context.Context) AiIndexArrayOutput

type AiIndexDeployedIndex 

type AiIndexDeployedIndex struct {
	// (Output)
	// The ID of the DeployedIndex in the above IndexEndpoint.
	DeployedIndexId *string `pulumi:"deployedIndexId"`
	// (Output)
	// A resource name of the IndexEndpoint.
	IndexEndpoint *string `pulumi:"indexEndpoint"`
}

type AiIndexDeployedIndexArgs 

type AiIndexDeployedIndexArgs struct {
	// (Output)
	// The ID of the DeployedIndex in the above IndexEndpoint.
	DeployedIndexId pulumi.StringPtrInput `pulumi:"deployedIndexId"`
	// (Output)
	// A resource name of the IndexEndpoint.
	IndexEndpoint pulumi.StringPtrInput `pulumi:"indexEndpoint"`
}

func (AiIndexDeployedIndexArgs) ElementType 

func (AiIndexDeployedIndexArgs) ElementType() reflect.Type

func (AiIndexDeployedIndexArgs) ToAiIndexDeployedIndexOutput 

func (i AiIndexDeployedIndexArgs) ToAiIndexDeployedIndexOutput() AiIndexDeployedIndexOutput

func (AiIndexDeployedIndexArgs) ToAiIndexDeployedIndexOutputWithContext 

func (i AiIndexDeployedIndexArgs) ToAiIndexDeployedIndexOutputWithContext(ctx context.Context) AiIndexDeployedIndexOutput

type AiIndexDeployedIndexArray 

type AiIndexDeployedIndexArray []AiIndexDeployedIndexInput

func (AiIndexDeployedIndexArray) ElementType 

func (AiIndexDeployedIndexArray) ElementType() reflect.Type

func (AiIndexDeployedIndexArray) ToAiIndexDeployedIndexArrayOutput 

func (i AiIndexDeployedIndexArray) ToAiIndexDeployedIndexArrayOutput() AiIndexDeployedIndexArrayOutput

func (AiIndexDeployedIndexArray) ToAiIndexDeployedIndexArrayOutputWithContext 

func (i AiIndexDeployedIndexArray) ToAiIndexDeployedIndexArrayOutputWithContext(ctx context.Context) AiIndexDeployedIndexArrayOutput

type AiIndexDeployedIndexArrayInput 

type AiIndexDeployedIndexArrayInput interface {
	pulumi.Input

	ToAiIndexDeployedIndexArrayOutput() AiIndexDeployedIndexArrayOutput
	ToAiIndexDeployedIndexArrayOutputWithContext(context.Context) AiIndexDeployedIndexArrayOutput
}

AiIndexDeployedIndexArrayInput is an input type that accepts AiIndexDeployedIndexArray and AiIndexDeployedIndexArrayOutput values. You can construct a concrete instance of `AiIndexDeployedIndexArrayInput` via: 

AiIndexDeployedIndexArray{ AiIndexDeployedIndexArgs{...} }

type AiIndexDeployedIndexArrayOutput 

type AiIndexDeployedIndexArrayOutput struct{ *pulumi.OutputState }

func (AiIndexDeployedIndexArrayOutput) ElementType 

func (AiIndexDeployedIndexArrayOutput) ElementType() reflect.Type

func (AiIndexDeployedIndexArrayOutput) Index 

func (o AiIndexDeployedIndexArrayOutput) Index(i pulumi.IntInput) AiIndexDeployedIndexOutput

func (AiIndexDeployedIndexArrayOutput) ToAiIndexDeployedIndexArrayOutput 

func (o AiIndexDeployedIndexArrayOutput) ToAiIndexDeployedIndexArrayOutput() AiIndexDeployedIndexArrayOutput

func (AiIndexDeployedIndexArrayOutput) ToAiIndexDeployedIndexArrayOutputWithContext 

func (o AiIndexDeployedIndexArrayOutput) ToAiIndexDeployedIndexArrayOutputWithContext(ctx context.Context) AiIndexDeployedIndexArrayOutput

type AiIndexDeployedIndexInput 

type AiIndexDeployedIndexInput interface {
	pulumi.Input

	ToAiIndexDeployedIndexOutput() AiIndexDeployedIndexOutput
	ToAiIndexDeployedIndexOutputWithContext(context.Context) AiIndexDeployedIndexOutput
}

AiIndexDeployedIndexInput is an input type that accepts AiIndexDeployedIndexArgs and AiIndexDeployedIndexOutput values. You can construct a concrete instance of `AiIndexDeployedIndexInput` via: 

AiIndexDeployedIndexArgs{...}

type AiIndexDeployedIndexOutput 

type AiIndexDeployedIndexOutput struct{ *pulumi.OutputState }

func (AiIndexDeployedIndexOutput) DeployedIndexId 

func (o AiIndexDeployedIndexOutput) DeployedIndexId() pulumi.StringPtrOutput

(Output) The ID of the DeployedIndex in the above IndexEndpoint.

func (AiIndexDeployedIndexOutput) ElementType 

func (AiIndexDeployedIndexOutput) ElementType() reflect.Type

func (AiIndexDeployedIndexOutput) IndexEndpoint 

func (o AiIndexDeployedIndexOutput) IndexEndpoint() pulumi.StringPtrOutput

(Output) A resource name of the IndexEndpoint.

func (AiIndexDeployedIndexOutput) ToAiIndexDeployedIndexOutput 

func (o AiIndexDeployedIndexOutput) ToAiIndexDeployedIndexOutput() AiIndexDeployedIndexOutput

func (AiIndexDeployedIndexOutput) ToAiIndexDeployedIndexOutputWithContext 

func (o AiIndexDeployedIndexOutput) ToAiIndexDeployedIndexOutputWithContext(ctx context.Context) AiIndexDeployedIndexOutput

type AiIndexEndpoint 

type AiIndexEndpoint struct {
	pulumi.CustomResourceState

	// The timestamp of when the Index was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringOutput `pulumi:"createTime"`
	// The description of the Index.
	Description pulumi.StringPtrOutput `pulumi:"description"`
	// The display name of the Index. The name can be up to 128 characters long and can consist of any UTF-8 characters.
	//
	// ***
	DisplayName pulumi.StringOutput `pulumi:"displayName"`
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapOutput `pulumi:"effectiveLabels"`
	// Used to perform consistent read-modify-write updates.
	Etag pulumi.StringOutput `pulumi:"etag"`
	// The labels with user-defined metadata to organize your Indexes.
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapOutput `pulumi:"labels"`
	// The resource name of the Index.
	Name pulumi.StringOutput `pulumi:"name"`
	// The full name of the Google Compute Engine [network](https://cloud.google.com//compute/docs/networks-and-firewalls#networks) to which the index endpoint should be peered.
	// Private services access must already be configured for the network. If left unspecified, the index endpoint is not peered with any network.
	// [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert): `projects/{project}/global/networks/{network}`.
	// Where `{project}` is a project number, as in `12345`, and `{network}` is network name.
	Network pulumi.StringPtrOutput `pulumi:"network"`
	// Optional. Configuration for private service connect. `network` and `privateServiceConnectConfig` are mutually exclusive.
	// Structure is documented below.
	PrivateServiceConnectConfig AiIndexEndpointPrivateServiceConnectConfigOutput `pulumi:"privateServiceConnectConfig"`
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringOutput `pulumi:"project"`
	// If publicEndpointEnabled is true, this field will be populated with the domain name to use for this index endpoint.
	PublicEndpointDomainName pulumi.StringOutput `pulumi:"publicEndpointDomainName"`
	// If true, the deployed index will be accessible through public endpoint.
	PublicEndpointEnabled pulumi.BoolPtrOutput `pulumi:"publicEndpointEnabled"`
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapOutput `pulumi:"pulumiLabels"`
	// The region of the index endpoint. eg us-central1
	Region pulumi.StringPtrOutput `pulumi:"region"`
	// The timestamp of when the Index was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringOutput `pulumi:"updateTime"`
}

An endpoint indexes are deployed into. An index endpoint can have multiple deployed indexes.

To get more information about IndexEndpoint, see:

* [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.indexEndpoints/)

## Example Usage

### Vertex Ai Index Endpoint

```go package main

import ( 

"fmt"

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/compute"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/organizations"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/servicenetworking"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		vertexNetwork, err := compute.NewNetwork(ctx, "vertex_network", &compute.NetworkArgs{
			Name: pulumi.String("network-name"),
		})
		if err != nil {
			return err
		}
		vertexRange, err := compute.NewGlobalAddress(ctx, "vertex_range", &compute.GlobalAddressArgs{
			Name:         pulumi.String("address-name"),
			Purpose:      pulumi.String("VPC_PEERING"),
			AddressType:  pulumi.String("INTERNAL"),
			PrefixLength: pulumi.Int(24),
			Network:      vertexNetwork.ID(),
		})
		if err != nil {
			return err
		}
		vertexVpcConnection, err := servicenetworking.NewConnection(ctx, "vertex_vpc_connection", &servicenetworking.ConnectionArgs{
			Network: vertexNetwork.ID(),
			Service: pulumi.String("servicenetworking.googleapis.com"),
			ReservedPeeringRanges: pulumi.StringArray{
				vertexRange.Name,
			},
		})
		if err != nil {
			return err
		}
		project, err := organizations.LookupProject(ctx, &organizations.LookupProjectArgs{}, nil)
		if err != nil {
			return err
		}
		_, err = vertex.NewAiIndexEndpoint(ctx, "index_endpoint", &vertex.AiIndexEndpointArgs{
			DisplayName: pulumi.String("sample-endpoint"),
			Description: pulumi.String("A sample vertex endpoint"),
			Region:      pulumi.String("us-central1"),
			Labels: pulumi.StringMap{
				"label-one": pulumi.String("value-one"),
			},
			Network: vertexNetwork.Name.ApplyT(func(name string) (string, error) {
				return fmt.Sprintf("projects/%v/global/networks/%v", project.Number, name), nil
			}).(pulumi.StringOutput),
		}, pulumi.DependsOn([]pulumi.Resource{
			vertexVpcConnection,
		}))
		if err != nil {
			return err
		}
		return nil
	})
}

``` ### Vertex Ai Index Endpoint With Psc

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/organizations"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		project, err := organizations.LookupProject(ctx, &organizations.LookupProjectArgs{}, nil)
		if err != nil {
			return err
		}
		_, err = vertex.NewAiIndexEndpoint(ctx, "index_endpoint", &vertex.AiIndexEndpointArgs{
			DisplayName: pulumi.String("sample-endpoint"),
			Description: pulumi.String("A sample vertex endpoint"),
			Region:      pulumi.String("us-central1"),
			Labels: pulumi.StringMap{
				"label-one": pulumi.String("value-one"),
			},
			PrivateServiceConnectConfig: &vertex.AiIndexEndpointPrivateServiceConnectConfigArgs{
				EnablePrivateServiceConnect: pulumi.Bool(true),
				ProjectAllowlists: pulumi.StringArray{
					pulumi.String(project.Name),
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

``` ### Vertex Ai Index Endpoint With Public Endpoint

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiIndexEndpoint(ctx, "index_endpoint", &vertex.AiIndexEndpointArgs{
			DisplayName: pulumi.String("sample-endpoint"),
			Description: pulumi.String("A sample vertex endpoint with an public endpoint"),
			Region:      pulumi.String("us-central1"),
			Labels: pulumi.StringMap{
				"label-one": pulumi.String("value-one"),
			},
			PublicEndpointEnabled: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

```

## Import

IndexEndpoint can be imported using any of these accepted formats:

* `projects/{{project}}/locations/{{region}}/indexEndpoints/{{name}}`

* `{{project}}/{{region}}/{{name}}`

* `{{region}}/{{name}}`

* `{{name}}`

When using the `pulumi import` command, IndexEndpoint can be imported using one of the formats above. For example:

```sh $ pulumi import gcp:vertex/aiIndexEndpoint:AiIndexEndpoint default projects/{{project}}/locations/{{region}}/indexEndpoints/{{name}} ```

```sh $ pulumi import gcp:vertex/aiIndexEndpoint:AiIndexEndpoint default {{project}}/{{region}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiIndexEndpoint:AiIndexEndpoint default {{region}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiIndexEndpoint:AiIndexEndpoint default {{name}} ```

func GetAiIndexEndpoint 

func GetAiIndexEndpoint(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiIndexEndpointState, opts ...pulumi.ResourceOption) (*AiIndexEndpoint, error)

GetAiIndexEndpoint gets an existing AiIndexEndpoint resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiIndexEndpoint 

func NewAiIndexEndpoint(ctx *pulumi.Context,
	name string, args *AiIndexEndpointArgs, opts ...pulumi.ResourceOption) (*AiIndexEndpoint, error)

NewAiIndexEndpoint registers a new resource with the given unique name, arguments, and options.

func (*AiIndexEndpoint) ElementType 

func (*AiIndexEndpoint) ElementType() reflect.Type

func (*AiIndexEndpoint) ToAiIndexEndpointOutput 

func (i *AiIndexEndpoint) ToAiIndexEndpointOutput() AiIndexEndpointOutput

func (*AiIndexEndpoint) ToAiIndexEndpointOutputWithContext 

func (i *AiIndexEndpoint) ToAiIndexEndpointOutputWithContext(ctx context.Context) AiIndexEndpointOutput

type AiIndexEndpointArgs 

type AiIndexEndpointArgs struct {
	// The description of the Index.
	Description pulumi.StringPtrInput
	// The display name of the Index. The name can be up to 128 characters long and can consist of any UTF-8 characters.
	//
	// ***
	DisplayName pulumi.StringInput
	// The labels with user-defined metadata to organize your Indexes.
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// The full name of the Google Compute Engine [network](https://cloud.google.com//compute/docs/networks-and-firewalls#networks) to which the index endpoint should be peered.
	// Private services access must already be configured for the network. If left unspecified, the index endpoint is not peered with any network.
	// [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert): `projects/{project}/global/networks/{network}`.
	// Where `{project}` is a project number, as in `12345`, and `{network}` is network name.
	Network pulumi.StringPtrInput
	// Optional. Configuration for private service connect. `network` and `privateServiceConnectConfig` are mutually exclusive.
	// Structure is documented below.
	PrivateServiceConnectConfig AiIndexEndpointPrivateServiceConnectConfigPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// If true, the deployed index will be accessible through public endpoint.
	PublicEndpointEnabled pulumi.BoolPtrInput
	// The region of the index endpoint. eg us-central1
	Region pulumi.StringPtrInput
}

The set of arguments for constructing a AiIndexEndpoint resource.

func (AiIndexEndpointArgs) ElementType 

func (AiIndexEndpointArgs) ElementType() reflect.Type

type AiIndexEndpointArray 

type AiIndexEndpointArray []AiIndexEndpointInput

func (AiIndexEndpointArray) ElementType 

func (AiIndexEndpointArray) ElementType() reflect.Type

func (AiIndexEndpointArray) ToAiIndexEndpointArrayOutput 

func (i AiIndexEndpointArray) ToAiIndexEndpointArrayOutput() AiIndexEndpointArrayOutput

func (AiIndexEndpointArray) ToAiIndexEndpointArrayOutputWithContext 

func (i AiIndexEndpointArray) ToAiIndexEndpointArrayOutputWithContext(ctx context.Context) AiIndexEndpointArrayOutput

type AiIndexEndpointArrayInput 

type AiIndexEndpointArrayInput interface {
	pulumi.Input

	ToAiIndexEndpointArrayOutput() AiIndexEndpointArrayOutput
	ToAiIndexEndpointArrayOutputWithContext(context.Context) AiIndexEndpointArrayOutput
}

AiIndexEndpointArrayInput is an input type that accepts AiIndexEndpointArray and AiIndexEndpointArrayOutput values. You can construct a concrete instance of `AiIndexEndpointArrayInput` via: 

AiIndexEndpointArray{ AiIndexEndpointArgs{...} }

type AiIndexEndpointArrayOutput 

type AiIndexEndpointArrayOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointArrayOutput) ElementType 

func (AiIndexEndpointArrayOutput) ElementType() reflect.Type

func (AiIndexEndpointArrayOutput) Index 

func (o AiIndexEndpointArrayOutput) Index(i pulumi.IntInput) AiIndexEndpointOutput

func (AiIndexEndpointArrayOutput) ToAiIndexEndpointArrayOutput 

func (o AiIndexEndpointArrayOutput) ToAiIndexEndpointArrayOutput() AiIndexEndpointArrayOutput

func (AiIndexEndpointArrayOutput) ToAiIndexEndpointArrayOutputWithContext 

func (o AiIndexEndpointArrayOutput) ToAiIndexEndpointArrayOutputWithContext(ctx context.Context) AiIndexEndpointArrayOutput

type AiIndexEndpointDeployedIndex 

type AiIndexEndpointDeployedIndex struct {
	pulumi.CustomResourceState

	// A description of resources that the DeployedIndex uses, which to large degree are decided by Vertex AI, and optionally allows only a modest additional configuration.
	// Structure is documented below.
	AutomaticResources AiIndexEndpointDeployedIndexAutomaticResourcesOutput `pulumi:"automaticResources"`
	// The timestamp of when the Index was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringOutput `pulumi:"createTime"`
	// A description of resources that are dedicated to the DeployedIndex, and that need a higher degree of manual configuration. The field minReplicaCount must be set to a value strictly greater than 0, or else validation will fail. We don't provide SLA when minReplicaCount=1. If maxReplicaCount is not set, the default value is minReplicaCount. The max allowed replica count is 1000.
	// Available machine types for SMALL shard: e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
	// Available machine types for MEDIUM shard: e2-standard-16 and all machine types available for LARGE shard.
	// Available machine types for LARGE shard: e2-highmem-16, n2d-standard-32.
	// n1-standard-16 and n1-standard-32 are still available, but we recommend e2-standard-16 and e2-highmem-16 for cost efficiency.
	// Structure is documented below.
	DedicatedResources AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput `pulumi:"dedicatedResources"`
	// If set, the authentication is enabled for the private endpoint.
	// Structure is documented below.
	DeployedIndexAuthConfig AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput `pulumi:"deployedIndexAuthConfig"`
	// The user specified ID of the DeployedIndex. The ID can be up to 128 characters long and must start with a letter and only contain letters, numbers, and underscores. The ID must be unique within the project it is created in.
	DeployedIndexId pulumi.StringOutput `pulumi:"deployedIndexId"`
	// The deployment group can be no longer than 64 characters (eg: 'test', 'prod'). If not set, we will use the 'default' deployment group.
	// Creating deploymentGroups with reservedIpRanges is a recommended practice when the peered network has multiple peering ranges. This creates your deployments from predictable IP spaces for easier traffic administration. Also, one deploymentGroup (except 'default') can only be used with the same reservedIpRanges which means if the deploymentGroup has been used with reserved_ip_ranges: [a, b, c], using it with [a, b] or [d, e] is disallowed. [See the official documentation here](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.indexEndpoints#DeployedIndex.FIELDS.deployment_group).
	// Note: we only support up to 5 deployment groups (not including 'default').
	DeploymentGroup pulumi.StringPtrOutput `pulumi:"deploymentGroup"`
	// The display name of the Index. The name can be up to 128 characters long and can consist of any UTF-8 characters.
	DisplayName pulumi.StringPtrOutput `pulumi:"displayName"`
	// If true, private endpoint's access logs are sent to Cloud Logging.
	EnableAccessLogging pulumi.BoolPtrOutput `pulumi:"enableAccessLogging"`
	// The name of the Index this is the deployment of.
	Index pulumi.StringOutput `pulumi:"index"`
	// Identifies the index endpoint. Must be in the format
	// 'projects/{{project}}/locations/{{region}}/indexEndpoints/{{indexEndpoint}}'
	//
	// ***
	IndexEndpoint pulumi.StringOutput `pulumi:"indexEndpoint"`
	// The DeployedIndex may depend on various data on its original Index. Additionally when certain changes to the original Index are being done (e.g. when what the Index contains is being changed) the DeployedIndex may be asynchronously updated in the background to reflect these changes. If this timestamp's value is at least the [Index.update_time](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.indexes#Index.FIELDS.update_time) of the original Index, it means that this DeployedIndex and the original Index are in sync. If this timestamp is older, then to see which updates this DeployedIndex already contains (and which it does not), one must [list](https://cloud.google.com/vertex-ai/docs/reference/rest/v1beta1/projects.locations.operations/list#google.longrunning.Operations.ListOperations) the operations that are running on the original Index. Only the successfully completed Operations with updateTime equal or before this sync time are contained in this DeployedIndex.
	// A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".
	IndexSyncTime pulumi.StringOutput `pulumi:"indexSyncTime"`
	// The name of the DeployedIndex resource.
	Name pulumi.StringOutput `pulumi:"name"`
	// Provides paths for users to send requests directly to the deployed index services running on Cloud via private services access. This field is populated if [network](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.indexEndpoints#IndexEndpoint.FIELDS.network) is configured.
	// Structure is documented below.
	PrivateEndpoints AiIndexEndpointDeployedIndexPrivateEndpointArrayOutput `pulumi:"privateEndpoints"`
	// A list of reserved ip ranges under the VPC network that can be used for this DeployedIndex.
	// If set, we will deploy the index within the provided ip ranges. Otherwise, the index might be deployed to any ip ranges under the provided VPC network.
	// The value should be the name of the address (https://cloud.google.com/compute/docs/reference/rest/v1/addresses) Example: ['vertex-ai-ip-range'].
	// For more information about subnets and network IP ranges, please see https://cloud.google.com/vpc/docs/subnets#manually_created_subnet_ip_ranges.
	ReservedIpRanges pulumi.StringArrayOutput `pulumi:"reservedIpRanges"`
}

An endpoint indexes are deployed into. An index endpoint can have multiple deployed indexes.

To get more information about IndexEndpointDeployedIndex, see:

* [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.indexEndpoints#DeployedIndex)

## Example Usage

### Vertex Ai Index Endpoint Deployed Index Basic

```go package main

import ( 

"fmt"

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/compute"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/organizations"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/serviceaccount"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/storage"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		sa, err := serviceaccount.NewAccount(ctx, "sa", &serviceaccount.AccountArgs{
			AccountId: pulumi.String("vertex-sa"),
		})
		if err != nil {
			return err
		}
		bucket, err := storage.NewBucket(ctx, "bucket", &storage.BucketArgs{
			Name:                     pulumi.String("bucket-name"),
			Location:                 pulumi.String("us-central1"),
			UniformBucketLevelAccess: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		index, err := vertex.NewAiIndex(ctx, "index", &vertex.AiIndexArgs{
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region:      pulumi.String("us-central1"),
			DisplayName: pulumi.String("test-index"),
			Description: pulumi.String("index for test"),
			Metadata: &vertex.AiIndexMetadataArgs{
				ContentsDeltaUri: bucket.Name.ApplyT(func(name string) (string, error) {
					return fmt.Sprintf("gs://%v/contents", name), nil
				}).(pulumi.StringOutput),
				Config: &vertex.AiIndexMetadataConfigArgs{
					Dimensions:                pulumi.Int(2),
					ApproximateNeighborsCount: pulumi.Int(150),
					ShardSize:                 pulumi.String("SHARD_SIZE_SMALL"),
					DistanceMeasureType:       pulumi.String("DOT_PRODUCT_DISTANCE"),
					AlgorithmConfig: &vertex.AiIndexMetadataConfigAlgorithmConfigArgs{
						TreeAhConfig: &vertex.AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs{
							LeafNodeEmbeddingCount:   pulumi.Int(500),
							LeafNodesToSearchPercent: pulumi.Int(7),
						},
					},
				},
			},
			IndexUpdateMethod: pulumi.String("BATCH_UPDATE"),
		})
		if err != nil {
			return err
		}
		vertexNetwork, err := compute.LookupNetwork(ctx, &compute.LookupNetworkArgs{
			Name: "network-name",
		}, nil)
		if err != nil {
			return err
		}
		project, err := organizations.LookupProject(ctx, &organizations.LookupProjectArgs{}, nil)
		if err != nil {
			return err
		}
		vertexIndexEndpointDeployed, err := vertex.NewAiIndexEndpoint(ctx, "vertex_index_endpoint_deployed", &vertex.AiIndexEndpointArgs{
			DisplayName: pulumi.String("sample-endpoint"),
			Description: pulumi.String("A sample vertex endpoint"),
			Region:      pulumi.String("us-central1"),
			Labels: pulumi.StringMap{
				"label-one": pulumi.String("value-one"),
			},
			Network: pulumi.Sprintf("projects/%v/global/networks/%v", project.Number, vertexNetwork.Name),
		})
		if err != nil {
			return err
		}
		_, err = vertex.NewAiIndexEndpointDeployedIndex(ctx, "basic_deployed_index", &vertex.AiIndexEndpointDeployedIndexArgs{
			IndexEndpoint:   vertexIndexEndpointDeployed.ID(),
			Index:           index.ID(),
			DeployedIndexId: pulumi.String("deployed_index_id"),
			ReservedIpRanges: pulumi.StringArray{
				pulumi.String("vertex-ai-range"),
			},
			EnableAccessLogging: pulumi.Bool(false),
			DisplayName:         pulumi.String("vertex-deployed-index"),
			DeployedIndexAuthConfig: &vertex.AiIndexEndpointDeployedIndexDeployedIndexAuthConfigArgs{
				AuthProvider: &vertex.AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderArgs{
					Audiences: pulumi.StringArray{
						pulumi.String("123456-my-app"),
					},
					AllowedIssuers: pulumi.StringArray{
						sa.Email,
					},
				},
			},
		}, pulumi.DependsOn([]pulumi.Resource{
			vertexIndexEndpointDeployed,
			sa,
		}))
		if err != nil {
			return err
		}
		// The sample data comes from the following link:
		// https://cloud.google.com/vertex-ai/docs/matching-engine/filtering#specify-namespaces-tokens
		_, err = storage.NewBucketObject(ctx, "data", &storage.BucketObjectArgs{
			Name:    pulumi.String("contents/data.json"),
			Bucket:  bucket.Name,
			Content: pulumi.String("{\"id\": \"42\", \"embedding\": [0.5, 1.0], \"restricts\": [{\"namespace\": \"class\", \"allow\": [\"cat\", \"pet\"]},{\"namespace\": \"category\", \"allow\": [\"feline\"]}]}\n{\"id\": \"43\", \"embedding\": [0.6, 1.0], \"restricts\": [{\"namespace\": \"class\", \"allow\": [\"dog\", \"pet\"]},{\"namespace\": \"category\", \"allow\": [\"canine\"]}]}\n"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

``` ### Vertex Ai Index Endpoint Deployed Index Basic Two

```go package main

import ( 

"fmt"

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/compute"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/organizations"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/serviceaccount"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/storage"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		sa, err := serviceaccount.NewAccount(ctx, "sa", &serviceaccount.AccountArgs{
			AccountId: pulumi.String("vertex-sa"),
		})
		if err != nil {
			return err
		}
		bucket, err := storage.NewBucket(ctx, "bucket", &storage.BucketArgs{
			Name:                     pulumi.String("bucket-name"),
			Location:                 pulumi.String("us-central1"),
			UniformBucketLevelAccess: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		index, err := vertex.NewAiIndex(ctx, "index", &vertex.AiIndexArgs{
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region:      pulumi.String("us-central1"),
			DisplayName: pulumi.String("test-index"),
			Description: pulumi.String("index for test"),
			Metadata: &vertex.AiIndexMetadataArgs{
				ContentsDeltaUri: bucket.Name.ApplyT(func(name string) (string, error) {
					return fmt.Sprintf("gs://%v/contents", name), nil
				}).(pulumi.StringOutput),
				Config: &vertex.AiIndexMetadataConfigArgs{
					Dimensions:                pulumi.Int(2),
					ApproximateNeighborsCount: pulumi.Int(150),
					ShardSize:                 pulumi.String("SHARD_SIZE_SMALL"),
					DistanceMeasureType:       pulumi.String("DOT_PRODUCT_DISTANCE"),
					AlgorithmConfig: &vertex.AiIndexMetadataConfigAlgorithmConfigArgs{
						TreeAhConfig: &vertex.AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs{
							LeafNodeEmbeddingCount:   pulumi.Int(500),
							LeafNodesToSearchPercent: pulumi.Int(7),
						},
					},
				},
			},
			IndexUpdateMethod: pulumi.String("BATCH_UPDATE"),
		})
		if err != nil {
			return err
		}
		vertexNetwork, err := compute.LookupNetwork(ctx, &compute.LookupNetworkArgs{
			Name: "network-name",
		}, nil)
		if err != nil {
			return err
		}
		project, err := organizations.LookupProject(ctx, &organizations.LookupProjectArgs{}, nil)
		if err != nil {
			return err
		}
		vertexIndexEndpointDeployed, err := vertex.NewAiIndexEndpoint(ctx, "vertex_index_endpoint_deployed", &vertex.AiIndexEndpointArgs{
			DisplayName: pulumi.String("sample-endpoint"),
			Description: pulumi.String("A sample vertex endpoint"),
			Region:      pulumi.String("us-central1"),
			Labels: pulumi.StringMap{
				"label-one": pulumi.String("value-one"),
			},
			Network: pulumi.Sprintf("projects/%v/global/networks/%v", project.Number, vertexNetwork.Name),
		})
		if err != nil {
			return err
		}
		_, err = vertex.NewAiIndexEndpointDeployedIndex(ctx, "basic_deployed_index", &vertex.AiIndexEndpointDeployedIndexArgs{
			IndexEndpoint:   vertexIndexEndpointDeployed.ID(),
			Index:           index.ID(),
			DeployedIndexId: pulumi.String("deployed_index_id"),
			ReservedIpRanges: pulumi.StringArray{
				pulumi.String("vertex-ai-range"),
			},
			EnableAccessLogging: pulumi.Bool(false),
			DisplayName:         pulumi.String("vertex-deployed-index"),
			DeployedIndexAuthConfig: &vertex.AiIndexEndpointDeployedIndexDeployedIndexAuthConfigArgs{
				AuthProvider: &vertex.AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderArgs{
					Audiences: pulumi.StringArray{
						pulumi.String("123456-my-app"),
					},
					AllowedIssuers: pulumi.StringArray{
						sa.Email,
					},
				},
			},
			AutomaticResources: &vertex.AiIndexEndpointDeployedIndexAutomaticResourcesArgs{
				MaxReplicaCount: pulumi.Int(4),
			},
		}, pulumi.DependsOn([]pulumi.Resource{
			vertexIndexEndpointDeployed,
			sa,
		}))
		if err != nil {
			return err
		}
		// The sample data comes from the following link:
		// https://cloud.google.com/vertex-ai/docs/matching-engine/filtering#specify-namespaces-tokens
		_, err = storage.NewBucketObject(ctx, "data", &storage.BucketObjectArgs{
			Name:    pulumi.String("contents/data.json"),
			Bucket:  bucket.Name,
			Content: pulumi.String("{\"id\": \"42\", \"embedding\": [0.5, 1.0], \"restricts\": [{\"namespace\": \"class\", \"allow\": [\"cat\", \"pet\"]},{\"namespace\": \"category\", \"allow\": [\"feline\"]}]}\n{\"id\": \"43\", \"embedding\": [0.6, 1.0], \"restricts\": [{\"namespace\": \"class\", \"allow\": [\"dog\", \"pet\"]},{\"namespace\": \"category\", \"allow\": [\"canine\"]}]}\n"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

```

## Import

IndexEndpointDeployedIndex can be imported using any of these accepted formats:

* `projects/{{project}}/locations/{{region}}/indexEndpoints/{{index_endpoint}}/deployedIndex/{{deployed_index_id}}`

* `{{project}}/{{region}}/{{index_endpoint}}/{{deployed_index_id}}`

* `{{region}}/{{index_endpoint}}/{{deployed_index_id}}`

* `{{index_endpoint}}/{{deployed_index_id}}`

When using the `pulumi import` command, IndexEndpointDeployedIndex can be imported using one of the formats above. For example:

```sh $ pulumi import gcp:vertex/aiIndexEndpointDeployedIndex:AiIndexEndpointDeployedIndex default projects/{{project}}/locations/{{region}}/indexEndpoints/{{index_endpoint}}/deployedIndex/{{deployed_index_id}} ```

```sh $ pulumi import gcp:vertex/aiIndexEndpointDeployedIndex:AiIndexEndpointDeployedIndex default {{project}}/{{region}}/{{index_endpoint}}/{{deployed_index_id}} ```

```sh $ pulumi import gcp:vertex/aiIndexEndpointDeployedIndex:AiIndexEndpointDeployedIndex default {{region}}/{{index_endpoint}}/{{deployed_index_id}} ```

```sh $ pulumi import gcp:vertex/aiIndexEndpointDeployedIndex:AiIndexEndpointDeployedIndex default {{index_endpoint}}/{{deployed_index_id}} ```

func GetAiIndexEndpointDeployedIndex 

func GetAiIndexEndpointDeployedIndex(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiIndexEndpointDeployedIndexState, opts ...pulumi.ResourceOption) (*AiIndexEndpointDeployedIndex, error)

GetAiIndexEndpointDeployedIndex gets an existing AiIndexEndpointDeployedIndex resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiIndexEndpointDeployedIndex 

func NewAiIndexEndpointDeployedIndex(ctx *pulumi.Context,
	name string, args *AiIndexEndpointDeployedIndexArgs, opts ...pulumi.ResourceOption) (*AiIndexEndpointDeployedIndex, error)

NewAiIndexEndpointDeployedIndex registers a new resource with the given unique name, arguments, and options.

func (*AiIndexEndpointDeployedIndex) ElementType 

func (*AiIndexEndpointDeployedIndex) ElementType() reflect.Type

func (*AiIndexEndpointDeployedIndex) ToAiIndexEndpointDeployedIndexOutput 

func (i *AiIndexEndpointDeployedIndex) ToAiIndexEndpointDeployedIndexOutput() AiIndexEndpointDeployedIndexOutput

func (*AiIndexEndpointDeployedIndex) ToAiIndexEndpointDeployedIndexOutputWithContext 

func (i *AiIndexEndpointDeployedIndex) ToAiIndexEndpointDeployedIndexOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexOutput

type AiIndexEndpointDeployedIndexArgs 

type AiIndexEndpointDeployedIndexArgs struct {
	// A description of resources that the DeployedIndex uses, which to large degree are decided by Vertex AI, and optionally allows only a modest additional configuration.
	// Structure is documented below.
	AutomaticResources AiIndexEndpointDeployedIndexAutomaticResourcesPtrInput
	// A description of resources that are dedicated to the DeployedIndex, and that need a higher degree of manual configuration. The field minReplicaCount must be set to a value strictly greater than 0, or else validation will fail. We don't provide SLA when minReplicaCount=1. If maxReplicaCount is not set, the default value is minReplicaCount. The max allowed replica count is 1000.
	// Available machine types for SMALL shard: e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
	// Available machine types for MEDIUM shard: e2-standard-16 and all machine types available for LARGE shard.
	// Available machine types for LARGE shard: e2-highmem-16, n2d-standard-32.
	// n1-standard-16 and n1-standard-32 are still available, but we recommend e2-standard-16 and e2-highmem-16 for cost efficiency.
	// Structure is documented below.
	DedicatedResources AiIndexEndpointDeployedIndexDedicatedResourcesPtrInput
	// If set, the authentication is enabled for the private endpoint.
	// Structure is documented below.
	DeployedIndexAuthConfig AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrInput
	// The user specified ID of the DeployedIndex. The ID can be up to 128 characters long and must start with a letter and only contain letters, numbers, and underscores. The ID must be unique within the project it is created in.
	DeployedIndexId pulumi.StringInput
	// The deployment group can be no longer than 64 characters (eg: 'test', 'prod'). If not set, we will use the 'default' deployment group.
	// Creating deploymentGroups with reservedIpRanges is a recommended practice when the peered network has multiple peering ranges. This creates your deployments from predictable IP spaces for easier traffic administration. Also, one deploymentGroup (except 'default') can only be used with the same reservedIpRanges which means if the deploymentGroup has been used with reserved_ip_ranges: [a, b, c], using it with [a, b] or [d, e] is disallowed. [See the official documentation here](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.indexEndpoints#DeployedIndex.FIELDS.deployment_group).
	// Note: we only support up to 5 deployment groups (not including 'default').
	DeploymentGroup pulumi.StringPtrInput
	// The display name of the Index. The name can be up to 128 characters long and can consist of any UTF-8 characters.
	DisplayName pulumi.StringPtrInput
	// If true, private endpoint's access logs are sent to Cloud Logging.
	EnableAccessLogging pulumi.BoolPtrInput
	// The name of the Index this is the deployment of.
	Index pulumi.StringInput
	// Identifies the index endpoint. Must be in the format
	// 'projects/{{project}}/locations/{{region}}/indexEndpoints/{{indexEndpoint}}'
	//
	// ***
	IndexEndpoint pulumi.StringInput
	// A list of reserved ip ranges under the VPC network that can be used for this DeployedIndex.
	// If set, we will deploy the index within the provided ip ranges. Otherwise, the index might be deployed to any ip ranges under the provided VPC network.
	// The value should be the name of the address (https://cloud.google.com/compute/docs/reference/rest/v1/addresses) Example: ['vertex-ai-ip-range'].
	// For more information about subnets and network IP ranges, please see https://cloud.google.com/vpc/docs/subnets#manually_created_subnet_ip_ranges.
	ReservedIpRanges pulumi.StringArrayInput
}

The set of arguments for constructing a AiIndexEndpointDeployedIndex resource.

func (AiIndexEndpointDeployedIndexArgs) ElementType 

func (AiIndexEndpointDeployedIndexArgs) ElementType() reflect.Type

type AiIndexEndpointDeployedIndexArray 

type AiIndexEndpointDeployedIndexArray []AiIndexEndpointDeployedIndexInput

func (AiIndexEndpointDeployedIndexArray) ElementType 

func (AiIndexEndpointDeployedIndexArray) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexArray) ToAiIndexEndpointDeployedIndexArrayOutput 

func (i AiIndexEndpointDeployedIndexArray) ToAiIndexEndpointDeployedIndexArrayOutput() AiIndexEndpointDeployedIndexArrayOutput

func (AiIndexEndpointDeployedIndexArray) ToAiIndexEndpointDeployedIndexArrayOutputWithContext 

func (i AiIndexEndpointDeployedIndexArray) ToAiIndexEndpointDeployedIndexArrayOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexArrayOutput

type AiIndexEndpointDeployedIndexArrayInput 

type AiIndexEndpointDeployedIndexArrayInput interface {
	pulumi.Input

	ToAiIndexEndpointDeployedIndexArrayOutput() AiIndexEndpointDeployedIndexArrayOutput
	ToAiIndexEndpointDeployedIndexArrayOutputWithContext(context.Context) AiIndexEndpointDeployedIndexArrayOutput
}

AiIndexEndpointDeployedIndexArrayInput is an input type that accepts AiIndexEndpointDeployedIndexArray and AiIndexEndpointDeployedIndexArrayOutput values. You can construct a concrete instance of `AiIndexEndpointDeployedIndexArrayInput` via: 

AiIndexEndpointDeployedIndexArray{ AiIndexEndpointDeployedIndexArgs{...} }

type AiIndexEndpointDeployedIndexArrayOutput 

type AiIndexEndpointDeployedIndexArrayOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointDeployedIndexArrayOutput) ElementType 

func (AiIndexEndpointDeployedIndexArrayOutput) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexArrayOutput) Index 

func (o AiIndexEndpointDeployedIndexArrayOutput) Index(i pulumi.IntInput) AiIndexEndpointDeployedIndexOutput

func (AiIndexEndpointDeployedIndexArrayOutput) ToAiIndexEndpointDeployedIndexArrayOutput 

func (o AiIndexEndpointDeployedIndexArrayOutput) ToAiIndexEndpointDeployedIndexArrayOutput() AiIndexEndpointDeployedIndexArrayOutput

func (AiIndexEndpointDeployedIndexArrayOutput) ToAiIndexEndpointDeployedIndexArrayOutputWithContext 

func (o AiIndexEndpointDeployedIndexArrayOutput) ToAiIndexEndpointDeployedIndexArrayOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexArrayOutput

type AiIndexEndpointDeployedIndexAutomaticResources 

type AiIndexEndpointDeployedIndexAutomaticResources struct {
	// The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If maxReplicaCount is not set, the default value is minReplicaCount. The max allowed replica count is 1000.
	// The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, a no upper bound for scaling under heavy traffic will be assume, though Vertex AI may be unable to scale beyond certain replica number.
	MaxReplicaCount *int `pulumi:"maxReplicaCount"`
	// The minimum number of replicas this DeployedModel will be always deployed on. If minReplicaCount is not set, the default value is 2 (we don't provide SLA when minReplicaCount=1).
	// If traffic against it increases, it may dynamically be deployed onto more replicas up to [maxReplicaCount](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/AutomaticResources#FIELDS.max_replica_count), and as traffic decreases, some of these extra replicas may be freed. If the requested value is too large, the deployment will error.
	MinReplicaCount *int `pulumi:"minReplicaCount"`
}

type AiIndexEndpointDeployedIndexAutomaticResourcesArgs 

type AiIndexEndpointDeployedIndexAutomaticResourcesArgs struct {
	// The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If maxReplicaCount is not set, the default value is minReplicaCount. The max allowed replica count is 1000.
	// The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, a no upper bound for scaling under heavy traffic will be assume, though Vertex AI may be unable to scale beyond certain replica number.
	MaxReplicaCount pulumi.IntPtrInput `pulumi:"maxReplicaCount"`
	// The minimum number of replicas this DeployedModel will be always deployed on. If minReplicaCount is not set, the default value is 2 (we don't provide SLA when minReplicaCount=1).
	// If traffic against it increases, it may dynamically be deployed onto more replicas up to [maxReplicaCount](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/AutomaticResources#FIELDS.max_replica_count), and as traffic decreases, some of these extra replicas may be freed. If the requested value is too large, the deployment will error.
	MinReplicaCount pulumi.IntPtrInput `pulumi:"minReplicaCount"`
}

func (AiIndexEndpointDeployedIndexAutomaticResourcesArgs) ElementType 

func (AiIndexEndpointDeployedIndexAutomaticResourcesArgs) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexAutomaticResourcesArgs) ToAiIndexEndpointDeployedIndexAutomaticResourcesOutput 

func (i AiIndexEndpointDeployedIndexAutomaticResourcesArgs) ToAiIndexEndpointDeployedIndexAutomaticResourcesOutput() AiIndexEndpointDeployedIndexAutomaticResourcesOutput

func (AiIndexEndpointDeployedIndexAutomaticResourcesArgs) ToAiIndexEndpointDeployedIndexAutomaticResourcesOutputWithContext 

func (i AiIndexEndpointDeployedIndexAutomaticResourcesArgs) ToAiIndexEndpointDeployedIndexAutomaticResourcesOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexAutomaticResourcesOutput

func (AiIndexEndpointDeployedIndexAutomaticResourcesArgs) ToAiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput 

func (i AiIndexEndpointDeployedIndexAutomaticResourcesArgs) ToAiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput() AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput

func (AiIndexEndpointDeployedIndexAutomaticResourcesArgs) ToAiIndexEndpointDeployedIndexAutomaticResourcesPtrOutputWithContext 

func (i AiIndexEndpointDeployedIndexAutomaticResourcesArgs) ToAiIndexEndpointDeployedIndexAutomaticResourcesPtrOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput

type AiIndexEndpointDeployedIndexAutomaticResourcesInput 

type AiIndexEndpointDeployedIndexAutomaticResourcesInput interface {
	pulumi.Input

	ToAiIndexEndpointDeployedIndexAutomaticResourcesOutput() AiIndexEndpointDeployedIndexAutomaticResourcesOutput
	ToAiIndexEndpointDeployedIndexAutomaticResourcesOutputWithContext(context.Context) AiIndexEndpointDeployedIndexAutomaticResourcesOutput
}

AiIndexEndpointDeployedIndexAutomaticResourcesInput is an input type that accepts AiIndexEndpointDeployedIndexAutomaticResourcesArgs and AiIndexEndpointDeployedIndexAutomaticResourcesOutput values. You can construct a concrete instance of `AiIndexEndpointDeployedIndexAutomaticResourcesInput` via: 

AiIndexEndpointDeployedIndexAutomaticResourcesArgs{...}

type AiIndexEndpointDeployedIndexAutomaticResourcesOutput 

type AiIndexEndpointDeployedIndexAutomaticResourcesOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointDeployedIndexAutomaticResourcesOutput) ElementType 

func (AiIndexEndpointDeployedIndexAutomaticResourcesOutput) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexAutomaticResourcesOutput) MaxReplicaCount 

func (o AiIndexEndpointDeployedIndexAutomaticResourcesOutput) MaxReplicaCount() pulumi.IntPtrOutput

The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If maxReplicaCount is not set, the default value is minReplicaCount. The max allowed replica count is 1000. The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, a no upper bound for scaling under heavy traffic will be assume, though Vertex AI may be unable to scale beyond certain replica number.

func (AiIndexEndpointDeployedIndexAutomaticResourcesOutput) MinReplicaCount 

func (o AiIndexEndpointDeployedIndexAutomaticResourcesOutput) MinReplicaCount() pulumi.IntPtrOutput

The minimum number of replicas this DeployedModel will be always deployed on. If minReplicaCount is not set, the default value is 2 (we don't provide SLA when minReplicaCount=1). If traffic against it increases, it may dynamically be deployed onto more replicas up to [maxReplicaCount](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/AutomaticResources#FIELDS.max_replica_count), and as traffic decreases, some of these extra replicas may be freed. If the requested value is too large, the deployment will error.

func (AiIndexEndpointDeployedIndexAutomaticResourcesOutput) ToAiIndexEndpointDeployedIndexAutomaticResourcesOutput 

func (o AiIndexEndpointDeployedIndexAutomaticResourcesOutput) ToAiIndexEndpointDeployedIndexAutomaticResourcesOutput() AiIndexEndpointDeployedIndexAutomaticResourcesOutput

func (AiIndexEndpointDeployedIndexAutomaticResourcesOutput) ToAiIndexEndpointDeployedIndexAutomaticResourcesOutputWithContext 

func (o AiIndexEndpointDeployedIndexAutomaticResourcesOutput) ToAiIndexEndpointDeployedIndexAutomaticResourcesOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexAutomaticResourcesOutput

func (AiIndexEndpointDeployedIndexAutomaticResourcesOutput) ToAiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput 

func (o AiIndexEndpointDeployedIndexAutomaticResourcesOutput) ToAiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput() AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput

func (AiIndexEndpointDeployedIndexAutomaticResourcesOutput) ToAiIndexEndpointDeployedIndexAutomaticResourcesPtrOutputWithContext 

func (o AiIndexEndpointDeployedIndexAutomaticResourcesOutput) ToAiIndexEndpointDeployedIndexAutomaticResourcesPtrOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput

type AiIndexEndpointDeployedIndexAutomaticResourcesPtrInput 

type AiIndexEndpointDeployedIndexAutomaticResourcesPtrInput interface {
	pulumi.Input

	ToAiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput() AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput
	ToAiIndexEndpointDeployedIndexAutomaticResourcesPtrOutputWithContext(context.Context) AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput
}

AiIndexEndpointDeployedIndexAutomaticResourcesPtrInput is an input type that accepts AiIndexEndpointDeployedIndexAutomaticResourcesArgs, AiIndexEndpointDeployedIndexAutomaticResourcesPtr and AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput values. You can construct a concrete instance of `AiIndexEndpointDeployedIndexAutomaticResourcesPtrInput` via: 

        AiIndexEndpointDeployedIndexAutomaticResourcesArgs{...}

or:

        nil

func AiIndexEndpointDeployedIndexAutomaticResourcesPtr 

func AiIndexEndpointDeployedIndexAutomaticResourcesPtr(v *AiIndexEndpointDeployedIndexAutomaticResourcesArgs) AiIndexEndpointDeployedIndexAutomaticResourcesPtrInput

type AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput 

type AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput) Elem 

func (o AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput) Elem() AiIndexEndpointDeployedIndexAutomaticResourcesOutput

func (AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput) ElementType 

func (AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput) MaxReplicaCount 

func (o AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput) MaxReplicaCount() pulumi.IntPtrOutput

The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If maxReplicaCount is not set, the default value is minReplicaCount. The max allowed replica count is 1000. The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, a no upper bound for scaling under heavy traffic will be assume, though Vertex AI may be unable to scale beyond certain replica number.

func (AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput) MinReplicaCount 

func (o AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput) MinReplicaCount() pulumi.IntPtrOutput

The minimum number of replicas this DeployedModel will be always deployed on. If minReplicaCount is not set, the default value is 2 (we don't provide SLA when minReplicaCount=1). If traffic against it increases, it may dynamically be deployed onto more replicas up to [maxReplicaCount](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/AutomaticResources#FIELDS.max_replica_count), and as traffic decreases, some of these extra replicas may be freed. If the requested value is too large, the deployment will error.

func (AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput) ToAiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput 

func (o AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput) ToAiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput() AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput

func (AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput) ToAiIndexEndpointDeployedIndexAutomaticResourcesPtrOutputWithContext 

func (o AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput) ToAiIndexEndpointDeployedIndexAutomaticResourcesPtrOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexAutomaticResourcesPtrOutput

type AiIndexEndpointDeployedIndexDedicatedResources 

type AiIndexEndpointDeployedIndexDedicatedResources struct {
	// The minimum number of replicas this DeployedModel will be always deployed on.
	// Structure is documented below.
	MachineSpec AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpec `pulumi:"machineSpec"`
	// The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If maxReplicaCount is not set, the default value is minReplicaCount
	MaxReplicaCount *int `pulumi:"maxReplicaCount"`
	// The minimum number of machine replicas this DeployedModel will be always deployed on. This value must be greater than or equal to 1.
	MinReplicaCount int `pulumi:"minReplicaCount"`
}

type AiIndexEndpointDeployedIndexDedicatedResourcesArgs 

type AiIndexEndpointDeployedIndexDedicatedResourcesArgs struct {
	// The minimum number of replicas this DeployedModel will be always deployed on.
	// Structure is documented below.
	MachineSpec AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecInput `pulumi:"machineSpec"`
	// The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If maxReplicaCount is not set, the default value is minReplicaCount
	MaxReplicaCount pulumi.IntPtrInput `pulumi:"maxReplicaCount"`
	// The minimum number of machine replicas this DeployedModel will be always deployed on. This value must be greater than or equal to 1.
	MinReplicaCount pulumi.IntInput `pulumi:"minReplicaCount"`
}

func (AiIndexEndpointDeployedIndexDedicatedResourcesArgs) ElementType 

func (AiIndexEndpointDeployedIndexDedicatedResourcesArgs) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexDedicatedResourcesArgs) ToAiIndexEndpointDeployedIndexDedicatedResourcesOutput 

func (i AiIndexEndpointDeployedIndexDedicatedResourcesArgs) ToAiIndexEndpointDeployedIndexDedicatedResourcesOutput() AiIndexEndpointDeployedIndexDedicatedResourcesOutput

func (AiIndexEndpointDeployedIndexDedicatedResourcesArgs) ToAiIndexEndpointDeployedIndexDedicatedResourcesOutputWithContext 

func (i AiIndexEndpointDeployedIndexDedicatedResourcesArgs) ToAiIndexEndpointDeployedIndexDedicatedResourcesOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDedicatedResourcesOutput

func (AiIndexEndpointDeployedIndexDedicatedResourcesArgs) ToAiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput 

func (i AiIndexEndpointDeployedIndexDedicatedResourcesArgs) ToAiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput() AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput

func (AiIndexEndpointDeployedIndexDedicatedResourcesArgs) ToAiIndexEndpointDeployedIndexDedicatedResourcesPtrOutputWithContext 

func (i AiIndexEndpointDeployedIndexDedicatedResourcesArgs) ToAiIndexEndpointDeployedIndexDedicatedResourcesPtrOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput

type AiIndexEndpointDeployedIndexDedicatedResourcesInput 

type AiIndexEndpointDeployedIndexDedicatedResourcesInput interface {
	pulumi.Input

	ToAiIndexEndpointDeployedIndexDedicatedResourcesOutput() AiIndexEndpointDeployedIndexDedicatedResourcesOutput
	ToAiIndexEndpointDeployedIndexDedicatedResourcesOutputWithContext(context.Context) AiIndexEndpointDeployedIndexDedicatedResourcesOutput
}

AiIndexEndpointDeployedIndexDedicatedResourcesInput is an input type that accepts AiIndexEndpointDeployedIndexDedicatedResourcesArgs and AiIndexEndpointDeployedIndexDedicatedResourcesOutput values. You can construct a concrete instance of `AiIndexEndpointDeployedIndexDedicatedResourcesInput` via: 

AiIndexEndpointDeployedIndexDedicatedResourcesArgs{...}

type AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpec 

type AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpec struct {
	// The type of the machine.
	// See the [list of machine types supported for prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
	// See the [list of machine types supported for custom training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
	// For [DeployedModel](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.endpoints#DeployedModel) this field is optional, and the default value is n1-standard-2. For [BatchPredictionJob](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.batchPredictionJobs#BatchPredictionJob) or as part of [WorkerPoolSpec](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/CustomJobSpec#WorkerPoolSpec) this field is required.
	MachineType *string `pulumi:"machineType"`
}

type AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecArgs 

type AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecArgs struct {
	// The type of the machine.
	// See the [list of machine types supported for prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
	// See the [list of machine types supported for custom training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
	// For [DeployedModel](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.endpoints#DeployedModel) this field is optional, and the default value is n1-standard-2. For [BatchPredictionJob](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.batchPredictionJobs#BatchPredictionJob) or as part of [WorkerPoolSpec](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/CustomJobSpec#WorkerPoolSpec) this field is required.
	MachineType pulumi.StringPtrInput `pulumi:"machineType"`
}

func (AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecArgs) ElementType 

func (AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecArgs) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecArgs) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput 

func (i AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecArgs) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput() AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput

func (AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecArgs) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutputWithContext 

func (i AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecArgs) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput

func (AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecArgs) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput 

func (i AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecArgs) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput() AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput

func (AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecArgs) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutputWithContext 

func (i AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecArgs) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput

type AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecInput 

type AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecInput interface {
	pulumi.Input

	ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput() AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput
	ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutputWithContext(context.Context) AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput
}

AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecInput is an input type that accepts AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecArgs and AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput values. You can construct a concrete instance of `AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecInput` via: 

AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecArgs{...}

type AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput 

type AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput) ElementType 

func (AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput) MachineType 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput) MachineType() pulumi.StringPtrOutput

The type of the machine. See the [list of machine types supported for prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types) See the [list of machine types supported for custom training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types). For [DeployedModel](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.endpoints#DeployedModel) this field is optional, and the default value is n1-standard-2. For [BatchPredictionJob](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.batchPredictionJobs#BatchPredictionJob) or as part of [WorkerPoolSpec](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/CustomJobSpec#WorkerPoolSpec) this field is required.

func (AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput() AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput

func (AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutputWithContext 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput

func (AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput() AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput

func (AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutputWithContext 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput

type AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrInput 

type AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrInput interface {
	pulumi.Input

	ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput() AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput
	ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutputWithContext(context.Context) AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput
}

AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrInput is an input type that accepts AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecArgs, AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtr and AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput values. You can construct a concrete instance of `AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrInput` via: 

        AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecArgs{...}

or:

        nil

func AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtr 

func AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtr(v *AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecArgs) AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrInput

type AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput 

type AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput) Elem 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput) Elem() AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput

func (AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput) ElementType 

func (AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput) MachineType 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput) MachineType() pulumi.StringPtrOutput

The type of the machine. See the [list of machine types supported for prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types) See the [list of machine types supported for custom training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types). For [DeployedModel](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.endpoints#DeployedModel) this field is optional, and the default value is n1-standard-2. For [BatchPredictionJob](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.batchPredictionJobs#BatchPredictionJob) or as part of [WorkerPoolSpec](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/CustomJobSpec#WorkerPoolSpec) this field is required.

func (AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput() AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput

func (AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutputWithContext 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput

type AiIndexEndpointDeployedIndexDedicatedResourcesOutput 

type AiIndexEndpointDeployedIndexDedicatedResourcesOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointDeployedIndexDedicatedResourcesOutput) ElementType 

func (AiIndexEndpointDeployedIndexDedicatedResourcesOutput) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexDedicatedResourcesOutput) MachineSpec 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesOutput) MachineSpec() AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecOutput

The minimum number of replicas this DeployedModel will be always deployed on. Structure is documented below.

func (AiIndexEndpointDeployedIndexDedicatedResourcesOutput) MaxReplicaCount 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesOutput) MaxReplicaCount() pulumi.IntPtrOutput

The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If maxReplicaCount is not set, the default value is minReplicaCount

func (AiIndexEndpointDeployedIndexDedicatedResourcesOutput) MinReplicaCount 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesOutput) MinReplicaCount() pulumi.IntOutput

The minimum number of machine replicas this DeployedModel will be always deployed on. This value must be greater than or equal to 1.

func (AiIndexEndpointDeployedIndexDedicatedResourcesOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesOutput 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesOutput() AiIndexEndpointDeployedIndexDedicatedResourcesOutput

func (AiIndexEndpointDeployedIndexDedicatedResourcesOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesOutputWithContext 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDedicatedResourcesOutput

func (AiIndexEndpointDeployedIndexDedicatedResourcesOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput() AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput

func (AiIndexEndpointDeployedIndexDedicatedResourcesOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesPtrOutputWithContext 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesPtrOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput

type AiIndexEndpointDeployedIndexDedicatedResourcesPtrInput 

type AiIndexEndpointDeployedIndexDedicatedResourcesPtrInput interface {
	pulumi.Input

	ToAiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput() AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput
	ToAiIndexEndpointDeployedIndexDedicatedResourcesPtrOutputWithContext(context.Context) AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput
}

AiIndexEndpointDeployedIndexDedicatedResourcesPtrInput is an input type that accepts AiIndexEndpointDeployedIndexDedicatedResourcesArgs, AiIndexEndpointDeployedIndexDedicatedResourcesPtr and AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput values. You can construct a concrete instance of `AiIndexEndpointDeployedIndexDedicatedResourcesPtrInput` via: 

        AiIndexEndpointDeployedIndexDedicatedResourcesArgs{...}

or:

        nil

func AiIndexEndpointDeployedIndexDedicatedResourcesPtr 

func AiIndexEndpointDeployedIndexDedicatedResourcesPtr(v *AiIndexEndpointDeployedIndexDedicatedResourcesArgs) AiIndexEndpointDeployedIndexDedicatedResourcesPtrInput

type AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput 

type AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput) Elem 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput) Elem() AiIndexEndpointDeployedIndexDedicatedResourcesOutput

func (AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput) ElementType 

func (AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput) MachineSpec 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput) MachineSpec() AiIndexEndpointDeployedIndexDedicatedResourcesMachineSpecPtrOutput

The minimum number of replicas this DeployedModel will be always deployed on. Structure is documented below.

func (AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput) MaxReplicaCount 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput) MaxReplicaCount() pulumi.IntPtrOutput

The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If maxReplicaCount is not set, the default value is minReplicaCount

func (AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput) MinReplicaCount 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput) MinReplicaCount() pulumi.IntPtrOutput

The minimum number of machine replicas this DeployedModel will be always deployed on. This value must be greater than or equal to 1.

func (AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput() AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput

func (AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesPtrOutputWithContext 

func (o AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput) ToAiIndexEndpointDeployedIndexDedicatedResourcesPtrOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfig 

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfig struct {
	// Defines the authentication provider that the DeployedIndex uses.
	// Structure is documented below.
	AuthProvider *AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProvider `pulumi:"authProvider"`
}

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigArgs 

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigArgs struct {
	// Defines the authentication provider that the DeployedIndex uses.
	// Structure is documented below.
	AuthProvider AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrInput `pulumi:"authProvider"`
}

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigArgs) ElementType 

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigArgs) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigArgs) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput 

func (i AiIndexEndpointDeployedIndexDeployedIndexAuthConfigArgs) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput() AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigArgs) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutputWithContext 

func (i AiIndexEndpointDeployedIndexDeployedIndexAuthConfigArgs) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigArgs) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput 

func (i AiIndexEndpointDeployedIndexDeployedIndexAuthConfigArgs) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput() AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigArgs) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutputWithContext 

func (i AiIndexEndpointDeployedIndexDeployedIndexAuthConfigArgs) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProvider 

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProvider struct {
	// A list of allowed JWT issuers. Each entry must be a valid Google service account, in the following format: service-account-name@project-id.iam.gserviceaccount.com
	AllowedIssuers []string `pulumi:"allowedIssuers"`
	// The list of JWT audiences. that are allowed to access. A JWT containing any of these audiences will be accepted.
	Audiences []string `pulumi:"audiences"`
}

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderArgs 

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderArgs struct {
	// A list of allowed JWT issuers. Each entry must be a valid Google service account, in the following format: service-account-name@project-id.iam.gserviceaccount.com
	AllowedIssuers pulumi.StringArrayInput `pulumi:"allowedIssuers"`
	// The list of JWT audiences. that are allowed to access. A JWT containing any of these audiences will be accepted.
	Audiences pulumi.StringArrayInput `pulumi:"audiences"`
}

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderArgs) ElementType 

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderArgs) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderArgs) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput 

func (i AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderArgs) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput() AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderArgs) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutputWithContext 

func (i AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderArgs) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderArgs) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput 

func (i AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderArgs) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput() AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderArgs) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutputWithContext 

func (i AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderArgs) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderInput 

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderInput interface {
	pulumi.Input

	ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput() AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput
	ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutputWithContext(context.Context) AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput
}

AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderInput is an input type that accepts AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderArgs and AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput values. You can construct a concrete instance of `AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderInput` via: 

AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderArgs{...}

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput 

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput) AllowedIssuers 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput) AllowedIssuers() pulumi.StringArrayOutput

A list of allowed JWT issuers. Each entry must be a valid Google service account, in the following format: service-account-name@project-id.iam.gserviceaccount.com

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput) Audiences 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput) Audiences() pulumi.StringArrayOutput

The list of JWT audiences. that are allowed to access. A JWT containing any of these audiences will be accepted.

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput) ElementType 

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput() AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutputWithContext 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput() AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutputWithContext 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrInput 

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrInput interface {
	pulumi.Input

	ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput() AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput
	ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutputWithContext(context.Context) AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput
}

AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrInput is an input type that accepts AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderArgs, AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtr and AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput values. You can construct a concrete instance of `AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrInput` via: 

        AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderArgs{...}

or:

        nil

func AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtr 

func AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtr(v *AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderArgs) AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrInput

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput 

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput) AllowedIssuers 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput) AllowedIssuers() pulumi.StringArrayOutput

A list of allowed JWT issuers. Each entry must be a valid Google service account, in the following format: service-account-name@project-id.iam.gserviceaccount.com

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput) Audiences 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput) Audiences() pulumi.StringArrayOutput

The list of JWT audiences. that are allowed to access. A JWT containing any of these audiences will be accepted.

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput) Elem 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput) Elem() AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderOutput

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput) ElementType 

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput() AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutputWithContext 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigInput 

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigInput interface {
	pulumi.Input

	ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput() AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput
	ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutputWithContext(context.Context) AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput
}

AiIndexEndpointDeployedIndexDeployedIndexAuthConfigInput is an input type that accepts AiIndexEndpointDeployedIndexDeployedIndexAuthConfigArgs and AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput values. You can construct a concrete instance of `AiIndexEndpointDeployedIndexDeployedIndexAuthConfigInput` via: 

AiIndexEndpointDeployedIndexDeployedIndexAuthConfigArgs{...}

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput 

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput) AuthProvider 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput) AuthProvider() AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput

Defines the authentication provider that the DeployedIndex uses. Structure is documented below.

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput) ElementType 

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput() AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutputWithContext 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput() AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutputWithContext 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrInput 

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrInput interface {
	pulumi.Input

	ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput() AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput
	ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutputWithContext(context.Context) AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput
}

AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrInput is an input type that accepts AiIndexEndpointDeployedIndexDeployedIndexAuthConfigArgs, AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtr and AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput values. You can construct a concrete instance of `AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrInput` via: 

        AiIndexEndpointDeployedIndexDeployedIndexAuthConfigArgs{...}

or:

        nil

func AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtr 

func AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtr(v *AiIndexEndpointDeployedIndexDeployedIndexAuthConfigArgs) AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrInput

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput 

type AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput) AuthProvider 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput) AuthProvider() AiIndexEndpointDeployedIndexDeployedIndexAuthConfigAuthProviderPtrOutput

Defines the authentication provider that the DeployedIndex uses. Structure is documented below.

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput) Elem 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput) Elem() AiIndexEndpointDeployedIndexDeployedIndexAuthConfigOutput

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput) ElementType 

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput() AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput

func (AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutputWithContext 

func (o AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput) ToAiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput

type AiIndexEndpointDeployedIndexInput 

type AiIndexEndpointDeployedIndexInput interface {
	pulumi.Input

	ToAiIndexEndpointDeployedIndexOutput() AiIndexEndpointDeployedIndexOutput
	ToAiIndexEndpointDeployedIndexOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexOutput
}

type AiIndexEndpointDeployedIndexMap 

type AiIndexEndpointDeployedIndexMap map[string]AiIndexEndpointDeployedIndexInput

func (AiIndexEndpointDeployedIndexMap) ElementType 

func (AiIndexEndpointDeployedIndexMap) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexMap) ToAiIndexEndpointDeployedIndexMapOutput 

func (i AiIndexEndpointDeployedIndexMap) ToAiIndexEndpointDeployedIndexMapOutput() AiIndexEndpointDeployedIndexMapOutput

func (AiIndexEndpointDeployedIndexMap) ToAiIndexEndpointDeployedIndexMapOutputWithContext 

func (i AiIndexEndpointDeployedIndexMap) ToAiIndexEndpointDeployedIndexMapOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexMapOutput

type AiIndexEndpointDeployedIndexMapInput 

type AiIndexEndpointDeployedIndexMapInput interface {
	pulumi.Input

	ToAiIndexEndpointDeployedIndexMapOutput() AiIndexEndpointDeployedIndexMapOutput
	ToAiIndexEndpointDeployedIndexMapOutputWithContext(context.Context) AiIndexEndpointDeployedIndexMapOutput
}

AiIndexEndpointDeployedIndexMapInput is an input type that accepts AiIndexEndpointDeployedIndexMap and AiIndexEndpointDeployedIndexMapOutput values. You can construct a concrete instance of `AiIndexEndpointDeployedIndexMapInput` via: 

AiIndexEndpointDeployedIndexMap{ "key": AiIndexEndpointDeployedIndexArgs{...} }

type AiIndexEndpointDeployedIndexMapOutput 

type AiIndexEndpointDeployedIndexMapOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointDeployedIndexMapOutput) ElementType 

func (AiIndexEndpointDeployedIndexMapOutput) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexMapOutput) MapIndex 

func (o AiIndexEndpointDeployedIndexMapOutput) MapIndex(k pulumi.StringInput) AiIndexEndpointDeployedIndexOutput

func (AiIndexEndpointDeployedIndexMapOutput) ToAiIndexEndpointDeployedIndexMapOutput 

func (o AiIndexEndpointDeployedIndexMapOutput) ToAiIndexEndpointDeployedIndexMapOutput() AiIndexEndpointDeployedIndexMapOutput

func (AiIndexEndpointDeployedIndexMapOutput) ToAiIndexEndpointDeployedIndexMapOutputWithContext 

func (o AiIndexEndpointDeployedIndexMapOutput) ToAiIndexEndpointDeployedIndexMapOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexMapOutput

type AiIndexEndpointDeployedIndexOutput 

type AiIndexEndpointDeployedIndexOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointDeployedIndexOutput) AutomaticResources 

func (o AiIndexEndpointDeployedIndexOutput) AutomaticResources() AiIndexEndpointDeployedIndexAutomaticResourcesOutput

A description of resources that the DeployedIndex uses, which to large degree are decided by Vertex AI, and optionally allows only a modest additional configuration. Structure is documented below.

func (AiIndexEndpointDeployedIndexOutput) CreateTime 

func (o AiIndexEndpointDeployedIndexOutput) CreateTime() pulumi.StringOutput

The timestamp of when the Index was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

func (AiIndexEndpointDeployedIndexOutput) DedicatedResources 

func (o AiIndexEndpointDeployedIndexOutput) DedicatedResources() AiIndexEndpointDeployedIndexDedicatedResourcesPtrOutput

A description of resources that are dedicated to the DeployedIndex, and that need a higher degree of manual configuration. The field minReplicaCount must be set to a value strictly greater than 0, or else validation will fail. We don't provide SLA when minReplicaCount=1. If maxReplicaCount is not set, the default value is minReplicaCount. The max allowed replica count is 1000. Available machine types for SMALL shard: e2-standard-2 and all machine types available for MEDIUM and LARGE shard. Available machine types for MEDIUM shard: e2-standard-16 and all machine types available for LARGE shard. Available machine types for LARGE shard: e2-highmem-16, n2d-standard-32. n1-standard-16 and n1-standard-32 are still available, but we recommend e2-standard-16 and e2-highmem-16 for cost efficiency. Structure is documented below.

func (AiIndexEndpointDeployedIndexOutput) DeployedIndexAuthConfig 

func (o AiIndexEndpointDeployedIndexOutput) DeployedIndexAuthConfig() AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrOutput

If set, the authentication is enabled for the private endpoint. Structure is documented below.

func (AiIndexEndpointDeployedIndexOutput) DeployedIndexId 

func (o AiIndexEndpointDeployedIndexOutput) DeployedIndexId() pulumi.StringOutput

The user specified ID of the DeployedIndex. The ID can be up to 128 characters long and must start with a letter and only contain letters, numbers, and underscores. The ID must be unique within the project it is created in.

func (AiIndexEndpointDeployedIndexOutput) DeploymentGroup 

func (o AiIndexEndpointDeployedIndexOutput) DeploymentGroup() pulumi.StringPtrOutput

The deployment group can be no longer than 64 characters (eg: 'test', 'prod'). If not set, we will use the 'default' deployment group. Creating deploymentGroups with reservedIpRanges is a recommended practice when the peered network has multiple peering ranges. This creates your deployments from predictable IP spaces for easier traffic administration. Also, one deploymentGroup (except 'default') can only be used with the same reservedIpRanges which means if the deploymentGroup has been used with reserved_ip_ranges: [a, b, c], using it with [a, b] or [d, e] is disallowed. [See the official documentation here](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.indexEndpoints#DeployedIndex.FIELDS.deployment_group). Note: we only support up to 5 deployment groups (not including 'default').

func (AiIndexEndpointDeployedIndexOutput) DisplayName 

func (o AiIndexEndpointDeployedIndexOutput) DisplayName() pulumi.StringPtrOutput

The display name of the Index. The name can be up to 128 characters long and can consist of any UTF-8 characters.

func (AiIndexEndpointDeployedIndexOutput) ElementType 

func (AiIndexEndpointDeployedIndexOutput) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexOutput) EnableAccessLogging 

func (o AiIndexEndpointDeployedIndexOutput) EnableAccessLogging() pulumi.BoolPtrOutput

If true, private endpoint's access logs are sent to Cloud Logging.

func (AiIndexEndpointDeployedIndexOutput) Index 

func (o AiIndexEndpointDeployedIndexOutput) Index() pulumi.StringOutput

The name of the Index this is the deployment of.

func (AiIndexEndpointDeployedIndexOutput) IndexEndpoint 

func (o AiIndexEndpointDeployedIndexOutput) IndexEndpoint() pulumi.StringOutput

Identifies the index endpoint. Must be in the format 'projects/{{project}}/locations/{{region}}/indexEndpoints/{{indexEndpoint}}'

***

func (AiIndexEndpointDeployedIndexOutput) IndexSyncTime 

func (o AiIndexEndpointDeployedIndexOutput) IndexSyncTime() pulumi.StringOutput

The DeployedIndex may depend on various data on its original Index. Additionally when certain changes to the original Index are being done (e.g. when what the Index contains is being changed) the DeployedIndex may be asynchronously updated in the background to reflect these changes. If this timestamp's value is at least the [Index.update_time](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.indexes#Index.FIELDS.update_time) of the original Index, it means that this DeployedIndex and the original Index are in sync. If this timestamp is older, then to see which updates this DeployedIndex already contains (and which it does not), one must [list](https://cloud.google.com/vertex-ai/docs/reference/rest/v1beta1/projects.locations.operations/list#google.longrunning.Operations.ListOperations) the operations that are running on the original Index. Only the successfully completed Operations with updateTime equal or before this sync time are contained in this DeployedIndex. A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".

func (AiIndexEndpointDeployedIndexOutput) Name 

func (o AiIndexEndpointDeployedIndexOutput) Name() pulumi.StringOutput

The name of the DeployedIndex resource.

func (AiIndexEndpointDeployedIndexOutput) PrivateEndpoints 

func (o AiIndexEndpointDeployedIndexOutput) PrivateEndpoints() AiIndexEndpointDeployedIndexPrivateEndpointArrayOutput

Provides paths for users to send requests directly to the deployed index services running on Cloud via private services access. This field is populated if [network](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.indexEndpoints#IndexEndpoint.FIELDS.network) is configured. Structure is documented below.

func (AiIndexEndpointDeployedIndexOutput) ReservedIpRanges 

func (o AiIndexEndpointDeployedIndexOutput) ReservedIpRanges() pulumi.StringArrayOutput

A list of reserved ip ranges under the VPC network that can be used for this DeployedIndex. If set, we will deploy the index within the provided ip ranges. Otherwise, the index might be deployed to any ip ranges under the provided VPC network. The value should be the name of the address (https://cloud.google.com/compute/docs/reference/rest/v1/addresses) Example: ['vertex-ai-ip-range']. For more information about subnets and network IP ranges, please see https://cloud.google.com/vpc/docs/subnets#manually_created_subnet_ip_ranges.

func (AiIndexEndpointDeployedIndexOutput) ToAiIndexEndpointDeployedIndexOutput 

func (o AiIndexEndpointDeployedIndexOutput) ToAiIndexEndpointDeployedIndexOutput() AiIndexEndpointDeployedIndexOutput

func (AiIndexEndpointDeployedIndexOutput) ToAiIndexEndpointDeployedIndexOutputWithContext 

func (o AiIndexEndpointDeployedIndexOutput) ToAiIndexEndpointDeployedIndexOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexOutput

type AiIndexEndpointDeployedIndexPrivateEndpoint 

type AiIndexEndpointDeployedIndexPrivateEndpoint struct {
	// (Output)
	// The ip address used to send match gRPC requests.
	MatchGrpcAddress *string `pulumi:"matchGrpcAddress"`
	// (Output)
	// PscAutomatedEndpoints is populated if private service connect is enabled if PscAutomatedConfig is set.
	// Structure is documented below.
	PscAutomatedEndpoints []AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpoint `pulumi:"pscAutomatedEndpoints"`
	// (Output)
	// The name of the service attachment resource. Populated if private service connect is enabled.
	ServiceAttachment *string `pulumi:"serviceAttachment"`
}

type AiIndexEndpointDeployedIndexPrivateEndpointArgs 

type AiIndexEndpointDeployedIndexPrivateEndpointArgs struct {
	// (Output)
	// The ip address used to send match gRPC requests.
	MatchGrpcAddress pulumi.StringPtrInput `pulumi:"matchGrpcAddress"`
	// (Output)
	// PscAutomatedEndpoints is populated if private service connect is enabled if PscAutomatedConfig is set.
	// Structure is documented below.
	PscAutomatedEndpoints AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayInput `pulumi:"pscAutomatedEndpoints"`
	// (Output)
	// The name of the service attachment resource. Populated if private service connect is enabled.
	ServiceAttachment pulumi.StringPtrInput `pulumi:"serviceAttachment"`
}

func (AiIndexEndpointDeployedIndexPrivateEndpointArgs) ElementType 

func (AiIndexEndpointDeployedIndexPrivateEndpointArgs) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexPrivateEndpointArgs) ToAiIndexEndpointDeployedIndexPrivateEndpointOutput 

func (i AiIndexEndpointDeployedIndexPrivateEndpointArgs) ToAiIndexEndpointDeployedIndexPrivateEndpointOutput() AiIndexEndpointDeployedIndexPrivateEndpointOutput

func (AiIndexEndpointDeployedIndexPrivateEndpointArgs) ToAiIndexEndpointDeployedIndexPrivateEndpointOutputWithContext 

func (i AiIndexEndpointDeployedIndexPrivateEndpointArgs) ToAiIndexEndpointDeployedIndexPrivateEndpointOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexPrivateEndpointOutput

type AiIndexEndpointDeployedIndexPrivateEndpointArray 

type AiIndexEndpointDeployedIndexPrivateEndpointArray []AiIndexEndpointDeployedIndexPrivateEndpointInput

func (AiIndexEndpointDeployedIndexPrivateEndpointArray) ElementType 

func (AiIndexEndpointDeployedIndexPrivateEndpointArray) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexPrivateEndpointArray) ToAiIndexEndpointDeployedIndexPrivateEndpointArrayOutput 

func (i AiIndexEndpointDeployedIndexPrivateEndpointArray) ToAiIndexEndpointDeployedIndexPrivateEndpointArrayOutput() AiIndexEndpointDeployedIndexPrivateEndpointArrayOutput

func (AiIndexEndpointDeployedIndexPrivateEndpointArray) ToAiIndexEndpointDeployedIndexPrivateEndpointArrayOutputWithContext 

func (i AiIndexEndpointDeployedIndexPrivateEndpointArray) ToAiIndexEndpointDeployedIndexPrivateEndpointArrayOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexPrivateEndpointArrayOutput

type AiIndexEndpointDeployedIndexPrivateEndpointArrayInput 

type AiIndexEndpointDeployedIndexPrivateEndpointArrayInput interface {
	pulumi.Input

	ToAiIndexEndpointDeployedIndexPrivateEndpointArrayOutput() AiIndexEndpointDeployedIndexPrivateEndpointArrayOutput
	ToAiIndexEndpointDeployedIndexPrivateEndpointArrayOutputWithContext(context.Context) AiIndexEndpointDeployedIndexPrivateEndpointArrayOutput
}

AiIndexEndpointDeployedIndexPrivateEndpointArrayInput is an input type that accepts AiIndexEndpointDeployedIndexPrivateEndpointArray and AiIndexEndpointDeployedIndexPrivateEndpointArrayOutput values. You can construct a concrete instance of `AiIndexEndpointDeployedIndexPrivateEndpointArrayInput` via: 

AiIndexEndpointDeployedIndexPrivateEndpointArray{ AiIndexEndpointDeployedIndexPrivateEndpointArgs{...} }

type AiIndexEndpointDeployedIndexPrivateEndpointArrayOutput 

type AiIndexEndpointDeployedIndexPrivateEndpointArrayOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointDeployedIndexPrivateEndpointArrayOutput) ElementType 

func (AiIndexEndpointDeployedIndexPrivateEndpointArrayOutput) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexPrivateEndpointArrayOutput) Index 

func (o AiIndexEndpointDeployedIndexPrivateEndpointArrayOutput) Index(i pulumi.IntInput) AiIndexEndpointDeployedIndexPrivateEndpointOutput

func (AiIndexEndpointDeployedIndexPrivateEndpointArrayOutput) ToAiIndexEndpointDeployedIndexPrivateEndpointArrayOutput 

func (o AiIndexEndpointDeployedIndexPrivateEndpointArrayOutput) ToAiIndexEndpointDeployedIndexPrivateEndpointArrayOutput() AiIndexEndpointDeployedIndexPrivateEndpointArrayOutput

func (AiIndexEndpointDeployedIndexPrivateEndpointArrayOutput) ToAiIndexEndpointDeployedIndexPrivateEndpointArrayOutputWithContext 

func (o AiIndexEndpointDeployedIndexPrivateEndpointArrayOutput) ToAiIndexEndpointDeployedIndexPrivateEndpointArrayOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexPrivateEndpointArrayOutput

type AiIndexEndpointDeployedIndexPrivateEndpointInput 

type AiIndexEndpointDeployedIndexPrivateEndpointInput interface {
	pulumi.Input

	ToAiIndexEndpointDeployedIndexPrivateEndpointOutput() AiIndexEndpointDeployedIndexPrivateEndpointOutput
	ToAiIndexEndpointDeployedIndexPrivateEndpointOutputWithContext(context.Context) AiIndexEndpointDeployedIndexPrivateEndpointOutput
}

AiIndexEndpointDeployedIndexPrivateEndpointInput is an input type that accepts AiIndexEndpointDeployedIndexPrivateEndpointArgs and AiIndexEndpointDeployedIndexPrivateEndpointOutput values. You can construct a concrete instance of `AiIndexEndpointDeployedIndexPrivateEndpointInput` via: 

AiIndexEndpointDeployedIndexPrivateEndpointArgs{...}

type AiIndexEndpointDeployedIndexPrivateEndpointOutput 

type AiIndexEndpointDeployedIndexPrivateEndpointOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointDeployedIndexPrivateEndpointOutput) ElementType 

func (AiIndexEndpointDeployedIndexPrivateEndpointOutput) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexPrivateEndpointOutput) MatchGrpcAddress 

func (o AiIndexEndpointDeployedIndexPrivateEndpointOutput) MatchGrpcAddress() pulumi.StringPtrOutput

(Output) The ip address used to send match gRPC requests.

func (AiIndexEndpointDeployedIndexPrivateEndpointOutput) PscAutomatedEndpoints 

func (o AiIndexEndpointDeployedIndexPrivateEndpointOutput) PscAutomatedEndpoints() AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput

(Output) PscAutomatedEndpoints is populated if private service connect is enabled if PscAutomatedConfig is set. Structure is documented below.

func (AiIndexEndpointDeployedIndexPrivateEndpointOutput) ServiceAttachment 

func (o AiIndexEndpointDeployedIndexPrivateEndpointOutput) ServiceAttachment() pulumi.StringPtrOutput

(Output) The name of the service attachment resource. Populated if private service connect is enabled.

func (AiIndexEndpointDeployedIndexPrivateEndpointOutput) ToAiIndexEndpointDeployedIndexPrivateEndpointOutput 

func (o AiIndexEndpointDeployedIndexPrivateEndpointOutput) ToAiIndexEndpointDeployedIndexPrivateEndpointOutput() AiIndexEndpointDeployedIndexPrivateEndpointOutput

func (AiIndexEndpointDeployedIndexPrivateEndpointOutput) ToAiIndexEndpointDeployedIndexPrivateEndpointOutputWithContext 

func (o AiIndexEndpointDeployedIndexPrivateEndpointOutput) ToAiIndexEndpointDeployedIndexPrivateEndpointOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexPrivateEndpointOutput

type AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpoint 

type AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpoint struct {
	// (Output)
	// ip Address created by the automated forwarding rule.
	MatchAddress *string `pulumi:"matchAddress"`
	// (Output)
	// Corresponding network in pscAutomationConfigs.
	Network *string `pulumi:"network"`
	// (Output)
	// Corresponding projectId in pscAutomationConfigs
	ProjectId *string `pulumi:"projectId"`
}

type AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArgs 

type AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArgs struct {
	// (Output)
	// ip Address created by the automated forwarding rule.
	MatchAddress pulumi.StringPtrInput `pulumi:"matchAddress"`
	// (Output)
	// Corresponding network in pscAutomationConfigs.
	Network pulumi.StringPtrInput `pulumi:"network"`
	// (Output)
	// Corresponding projectId in pscAutomationConfigs
	ProjectId pulumi.StringPtrInput `pulumi:"projectId"`
}

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArgs) ElementType 

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArgs) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArgs) ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput 

func (i AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArgs) ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput() AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArgs) ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutputWithContext 

func (i AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArgs) ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput

type AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArray 

type AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArray []AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointInput

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArray) ElementType 

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArray) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArray) ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput 

func (i AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArray) ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput() AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArray) ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutputWithContext 

func (i AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArray) ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput

type AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayInput 

type AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayInput interface {
	pulumi.Input

	ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput() AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput
	ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutputWithContext(context.Context) AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput
}

AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayInput is an input type that accepts AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArray and AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput values. You can construct a concrete instance of `AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayInput` via: 

AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArray{ AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArgs{...} }

type AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput 

type AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput) ElementType 

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput) Index 

func (o AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput) Index(i pulumi.IntInput) AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput) ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput 

func (o AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput) ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput() AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput) ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutputWithContext 

func (o AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput) ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArrayOutput

type AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointInput 

type AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointInput interface {
	pulumi.Input

	ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput() AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput
	ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutputWithContext(context.Context) AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput
}

AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointInput is an input type that accepts AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArgs and AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput values. You can construct a concrete instance of `AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointInput` via: 

AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointArgs{...}

type AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput 

type AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput) ElementType 

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput) ElementType() reflect.Type

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput) MatchAddress 

func (o AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput) MatchAddress() pulumi.StringPtrOutput

(Output) ip Address created by the automated forwarding rule.

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput) Network 

func (o AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput) Network() pulumi.StringPtrOutput

(Output) Corresponding network in pscAutomationConfigs.

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput) ProjectId 

func (o AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput) ProjectId() pulumi.StringPtrOutput

(Output) Corresponding projectId in pscAutomationConfigs

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput) ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput 

func (o AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput) ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput() AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput

func (AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput) ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutputWithContext 

func (o AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput) ToAiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutputWithContext(ctx context.Context) AiIndexEndpointDeployedIndexPrivateEndpointPscAutomatedEndpointOutput

type AiIndexEndpointDeployedIndexState 

type AiIndexEndpointDeployedIndexState struct {
	// A description of resources that the DeployedIndex uses, which to large degree are decided by Vertex AI, and optionally allows only a modest additional configuration.
	// Structure is documented below.
	AutomaticResources AiIndexEndpointDeployedIndexAutomaticResourcesPtrInput
	// The timestamp of when the Index was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringPtrInput
	// A description of resources that are dedicated to the DeployedIndex, and that need a higher degree of manual configuration. The field minReplicaCount must be set to a value strictly greater than 0, or else validation will fail. We don't provide SLA when minReplicaCount=1. If maxReplicaCount is not set, the default value is minReplicaCount. The max allowed replica count is 1000.
	// Available machine types for SMALL shard: e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
	// Available machine types for MEDIUM shard: e2-standard-16 and all machine types available for LARGE shard.
	// Available machine types for LARGE shard: e2-highmem-16, n2d-standard-32.
	// n1-standard-16 and n1-standard-32 are still available, but we recommend e2-standard-16 and e2-highmem-16 for cost efficiency.
	// Structure is documented below.
	DedicatedResources AiIndexEndpointDeployedIndexDedicatedResourcesPtrInput
	// If set, the authentication is enabled for the private endpoint.
	// Structure is documented below.
	DeployedIndexAuthConfig AiIndexEndpointDeployedIndexDeployedIndexAuthConfigPtrInput
	// The user specified ID of the DeployedIndex. The ID can be up to 128 characters long and must start with a letter and only contain letters, numbers, and underscores. The ID must be unique within the project it is created in.
	DeployedIndexId pulumi.StringPtrInput
	// The deployment group can be no longer than 64 characters (eg: 'test', 'prod'). If not set, we will use the 'default' deployment group.
	// Creating deploymentGroups with reservedIpRanges is a recommended practice when the peered network has multiple peering ranges. This creates your deployments from predictable IP spaces for easier traffic administration. Also, one deploymentGroup (except 'default') can only be used with the same reservedIpRanges which means if the deploymentGroup has been used with reserved_ip_ranges: [a, b, c], using it with [a, b] or [d, e] is disallowed. [See the official documentation here](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.indexEndpoints#DeployedIndex.FIELDS.deployment_group).
	// Note: we only support up to 5 deployment groups (not including 'default').
	DeploymentGroup pulumi.StringPtrInput
	// The display name of the Index. The name can be up to 128 characters long and can consist of any UTF-8 characters.
	DisplayName pulumi.StringPtrInput
	// If true, private endpoint's access logs are sent to Cloud Logging.
	EnableAccessLogging pulumi.BoolPtrInput
	// The name of the Index this is the deployment of.
	Index pulumi.StringPtrInput
	// Identifies the index endpoint. Must be in the format
	// 'projects/{{project}}/locations/{{region}}/indexEndpoints/{{indexEndpoint}}'
	//
	// ***
	IndexEndpoint pulumi.StringPtrInput
	// The DeployedIndex may depend on various data on its original Index. Additionally when certain changes to the original Index are being done (e.g. when what the Index contains is being changed) the DeployedIndex may be asynchronously updated in the background to reflect these changes. If this timestamp's value is at least the [Index.update_time](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.indexes#Index.FIELDS.update_time) of the original Index, it means that this DeployedIndex and the original Index are in sync. If this timestamp is older, then to see which updates this DeployedIndex already contains (and which it does not), one must [list](https://cloud.google.com/vertex-ai/docs/reference/rest/v1beta1/projects.locations.operations/list#google.longrunning.Operations.ListOperations) the operations that are running on the original Index. Only the successfully completed Operations with updateTime equal or before this sync time are contained in this DeployedIndex.
	// A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".
	IndexSyncTime pulumi.StringPtrInput
	// The name of the DeployedIndex resource.
	Name pulumi.StringPtrInput
	// Provides paths for users to send requests directly to the deployed index services running on Cloud via private services access. This field is populated if [network](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.indexEndpoints#IndexEndpoint.FIELDS.network) is configured.
	// Structure is documented below.
	PrivateEndpoints AiIndexEndpointDeployedIndexPrivateEndpointArrayInput
	// A list of reserved ip ranges under the VPC network that can be used for this DeployedIndex.
	// If set, we will deploy the index within the provided ip ranges. Otherwise, the index might be deployed to any ip ranges under the provided VPC network.
	// The value should be the name of the address (https://cloud.google.com/compute/docs/reference/rest/v1/addresses) Example: ['vertex-ai-ip-range'].
	// For more information about subnets and network IP ranges, please see https://cloud.google.com/vpc/docs/subnets#manually_created_subnet_ip_ranges.
	ReservedIpRanges pulumi.StringArrayInput
}

func (AiIndexEndpointDeployedIndexState) ElementType 

func (AiIndexEndpointDeployedIndexState) ElementType() reflect.Type

type AiIndexEndpointInput 

type AiIndexEndpointInput interface {
	pulumi.Input

	ToAiIndexEndpointOutput() AiIndexEndpointOutput
	ToAiIndexEndpointOutputWithContext(ctx context.Context) AiIndexEndpointOutput
}

type AiIndexEndpointMap 

type AiIndexEndpointMap map[string]AiIndexEndpointInput

func (AiIndexEndpointMap) ElementType 

func (AiIndexEndpointMap) ElementType() reflect.Type

func (AiIndexEndpointMap) ToAiIndexEndpointMapOutput 

func (i AiIndexEndpointMap) ToAiIndexEndpointMapOutput() AiIndexEndpointMapOutput

func (AiIndexEndpointMap) ToAiIndexEndpointMapOutputWithContext 

func (i AiIndexEndpointMap) ToAiIndexEndpointMapOutputWithContext(ctx context.Context) AiIndexEndpointMapOutput

type AiIndexEndpointMapInput 

type AiIndexEndpointMapInput interface {
	pulumi.Input

	ToAiIndexEndpointMapOutput() AiIndexEndpointMapOutput
	ToAiIndexEndpointMapOutputWithContext(context.Context) AiIndexEndpointMapOutput
}

AiIndexEndpointMapInput is an input type that accepts AiIndexEndpointMap and AiIndexEndpointMapOutput values. You can construct a concrete instance of `AiIndexEndpointMapInput` via: 

AiIndexEndpointMap{ "key": AiIndexEndpointArgs{...} }

type AiIndexEndpointMapOutput 

type AiIndexEndpointMapOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointMapOutput) ElementType 

func (AiIndexEndpointMapOutput) ElementType() reflect.Type

func (AiIndexEndpointMapOutput) MapIndex 

func (o AiIndexEndpointMapOutput) MapIndex(k pulumi.StringInput) AiIndexEndpointOutput

func (AiIndexEndpointMapOutput) ToAiIndexEndpointMapOutput 

func (o AiIndexEndpointMapOutput) ToAiIndexEndpointMapOutput() AiIndexEndpointMapOutput

func (AiIndexEndpointMapOutput) ToAiIndexEndpointMapOutputWithContext 

func (o AiIndexEndpointMapOutput) ToAiIndexEndpointMapOutputWithContext(ctx context.Context) AiIndexEndpointMapOutput

type AiIndexEndpointOutput 

type AiIndexEndpointOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointOutput) CreateTime 

func (o AiIndexEndpointOutput) CreateTime() pulumi.StringOutput

The timestamp of when the Index was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

func (AiIndexEndpointOutput) Description 

func (o AiIndexEndpointOutput) Description() pulumi.StringPtrOutput

The description of the Index.

func (AiIndexEndpointOutput) DisplayName 

func (o AiIndexEndpointOutput) DisplayName() pulumi.StringOutput

The display name of the Index. The name can be up to 128 characters long and can consist of any UTF-8 characters.

***

func (AiIndexEndpointOutput) EffectiveLabels 

func (o AiIndexEndpointOutput) EffectiveLabels() pulumi.StringMapOutput

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

func (AiIndexEndpointOutput) ElementType 

func (AiIndexEndpointOutput) ElementType() reflect.Type

func (AiIndexEndpointOutput) Etag 

func (o AiIndexEndpointOutput) Etag() pulumi.StringOutput

Used to perform consistent read-modify-write updates.

func (AiIndexEndpointOutput) Labels 

func (o AiIndexEndpointOutput) Labels() pulumi.StringMapOutput

The labels with user-defined metadata to organize your Indexes. **Note**: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field `effectiveLabels` for all of the labels present on the resource.

func (AiIndexEndpointOutput) Name 

func (o AiIndexEndpointOutput) Name() pulumi.StringOutput

The resource name of the Index.

func (AiIndexEndpointOutput) Network 

func (o AiIndexEndpointOutput) Network() pulumi.StringPtrOutput

The full name of the Google Compute Engine [network](https://cloud.google.com//compute/docs/networks-and-firewalls#networks) to which the index endpoint should be peered. Private services access must already be configured for the network. If left unspecified, the index endpoint is not peered with any network. [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert): `projects/{project}/global/networks/{network}`. Where `{project}` is a project number, as in `12345`, and `{network}` is network name.

func (AiIndexEndpointOutput) PrivateServiceConnectConfig 

func (o AiIndexEndpointOutput) PrivateServiceConnectConfig() AiIndexEndpointPrivateServiceConnectConfigOutput

Optional. Configuration for private service connect. `network` and `privateServiceConnectConfig` are mutually exclusive. Structure is documented below.

func (AiIndexEndpointOutput) Project 

func (o AiIndexEndpointOutput) Project() pulumi.StringOutput

The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

func (AiIndexEndpointOutput) PublicEndpointDomainName 

func (o AiIndexEndpointOutput) PublicEndpointDomainName() pulumi.StringOutput

If publicEndpointEnabled is true, this field will be populated with the domain name to use for this index endpoint.

func (AiIndexEndpointOutput) PublicEndpointEnabled 

func (o AiIndexEndpointOutput) PublicEndpointEnabled() pulumi.BoolPtrOutput

If true, the deployed index will be accessible through public endpoint.

func (AiIndexEndpointOutput) PulumiLabels 

func (o AiIndexEndpointOutput) PulumiLabels() pulumi.StringMapOutput

The combination of labels configured directly on the resource and default labels configured on the provider.

func (AiIndexEndpointOutput) Region 

func (o AiIndexEndpointOutput) Region() pulumi.StringPtrOutput

The region of the index endpoint. eg us-central1

func (AiIndexEndpointOutput) ToAiIndexEndpointOutput 

func (o AiIndexEndpointOutput) ToAiIndexEndpointOutput() AiIndexEndpointOutput

func (AiIndexEndpointOutput) ToAiIndexEndpointOutputWithContext 

func (o AiIndexEndpointOutput) ToAiIndexEndpointOutputWithContext(ctx context.Context) AiIndexEndpointOutput

func (AiIndexEndpointOutput) UpdateTime 

func (o AiIndexEndpointOutput) UpdateTime() pulumi.StringOutput

The timestamp of when the Index was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

type AiIndexEndpointPrivateServiceConnectConfig 

type AiIndexEndpointPrivateServiceConnectConfig struct {
	// If set to true, the IndexEndpoint is created without private service access.
	EnablePrivateServiceConnect bool `pulumi:"enablePrivateServiceConnect"`
	// A list of Projects from which the forwarding rule will target the service attachment.
	ProjectAllowlists []string `pulumi:"projectAllowlists"`
}

type AiIndexEndpointPrivateServiceConnectConfigArgs 

type AiIndexEndpointPrivateServiceConnectConfigArgs struct {
	// If set to true, the IndexEndpoint is created without private service access.
	EnablePrivateServiceConnect pulumi.BoolInput `pulumi:"enablePrivateServiceConnect"`
	// A list of Projects from which the forwarding rule will target the service attachment.
	ProjectAllowlists pulumi.StringArrayInput `pulumi:"projectAllowlists"`
}

func (AiIndexEndpointPrivateServiceConnectConfigArgs) ElementType 

func (AiIndexEndpointPrivateServiceConnectConfigArgs) ElementType() reflect.Type

func (AiIndexEndpointPrivateServiceConnectConfigArgs) ToAiIndexEndpointPrivateServiceConnectConfigOutput 

func (i AiIndexEndpointPrivateServiceConnectConfigArgs) ToAiIndexEndpointPrivateServiceConnectConfigOutput() AiIndexEndpointPrivateServiceConnectConfigOutput

func (AiIndexEndpointPrivateServiceConnectConfigArgs) ToAiIndexEndpointPrivateServiceConnectConfigOutputWithContext 

func (i AiIndexEndpointPrivateServiceConnectConfigArgs) ToAiIndexEndpointPrivateServiceConnectConfigOutputWithContext(ctx context.Context) AiIndexEndpointPrivateServiceConnectConfigOutput

func (AiIndexEndpointPrivateServiceConnectConfigArgs) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutput 

func (i AiIndexEndpointPrivateServiceConnectConfigArgs) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutput() AiIndexEndpointPrivateServiceConnectConfigPtrOutput

func (AiIndexEndpointPrivateServiceConnectConfigArgs) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutputWithContext 

func (i AiIndexEndpointPrivateServiceConnectConfigArgs) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutputWithContext(ctx context.Context) AiIndexEndpointPrivateServiceConnectConfigPtrOutput

type AiIndexEndpointPrivateServiceConnectConfigInput 

type AiIndexEndpointPrivateServiceConnectConfigInput interface {
	pulumi.Input

	ToAiIndexEndpointPrivateServiceConnectConfigOutput() AiIndexEndpointPrivateServiceConnectConfigOutput
	ToAiIndexEndpointPrivateServiceConnectConfigOutputWithContext(context.Context) AiIndexEndpointPrivateServiceConnectConfigOutput
}

AiIndexEndpointPrivateServiceConnectConfigInput is an input type that accepts AiIndexEndpointPrivateServiceConnectConfigArgs and AiIndexEndpointPrivateServiceConnectConfigOutput values. You can construct a concrete instance of `AiIndexEndpointPrivateServiceConnectConfigInput` via: 

AiIndexEndpointPrivateServiceConnectConfigArgs{...}

type AiIndexEndpointPrivateServiceConnectConfigOutput 

type AiIndexEndpointPrivateServiceConnectConfigOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointPrivateServiceConnectConfigOutput) ElementType 

func (AiIndexEndpointPrivateServiceConnectConfigOutput) ElementType() reflect.Type

func (AiIndexEndpointPrivateServiceConnectConfigOutput) EnablePrivateServiceConnect 

func (o AiIndexEndpointPrivateServiceConnectConfigOutput) EnablePrivateServiceConnect() pulumi.BoolOutput

If set to true, the IndexEndpoint is created without private service access.

func (AiIndexEndpointPrivateServiceConnectConfigOutput) ProjectAllowlists 

func (o AiIndexEndpointPrivateServiceConnectConfigOutput) ProjectAllowlists() pulumi.StringArrayOutput

A list of Projects from which the forwarding rule will target the service attachment.

func (AiIndexEndpointPrivateServiceConnectConfigOutput) ToAiIndexEndpointPrivateServiceConnectConfigOutput 

func (o AiIndexEndpointPrivateServiceConnectConfigOutput) ToAiIndexEndpointPrivateServiceConnectConfigOutput() AiIndexEndpointPrivateServiceConnectConfigOutput

func (AiIndexEndpointPrivateServiceConnectConfigOutput) ToAiIndexEndpointPrivateServiceConnectConfigOutputWithContext 

func (o AiIndexEndpointPrivateServiceConnectConfigOutput) ToAiIndexEndpointPrivateServiceConnectConfigOutputWithContext(ctx context.Context) AiIndexEndpointPrivateServiceConnectConfigOutput

func (AiIndexEndpointPrivateServiceConnectConfigOutput) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutput 

func (o AiIndexEndpointPrivateServiceConnectConfigOutput) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutput() AiIndexEndpointPrivateServiceConnectConfigPtrOutput

func (AiIndexEndpointPrivateServiceConnectConfigOutput) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutputWithContext 

func (o AiIndexEndpointPrivateServiceConnectConfigOutput) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutputWithContext(ctx context.Context) AiIndexEndpointPrivateServiceConnectConfigPtrOutput

type AiIndexEndpointPrivateServiceConnectConfigPtrInput 

type AiIndexEndpointPrivateServiceConnectConfigPtrInput interface {
	pulumi.Input

	ToAiIndexEndpointPrivateServiceConnectConfigPtrOutput() AiIndexEndpointPrivateServiceConnectConfigPtrOutput
	ToAiIndexEndpointPrivateServiceConnectConfigPtrOutputWithContext(context.Context) AiIndexEndpointPrivateServiceConnectConfigPtrOutput
}

AiIndexEndpointPrivateServiceConnectConfigPtrInput is an input type that accepts AiIndexEndpointPrivateServiceConnectConfigArgs, AiIndexEndpointPrivateServiceConnectConfigPtr and AiIndexEndpointPrivateServiceConnectConfigPtrOutput values. You can construct a concrete instance of `AiIndexEndpointPrivateServiceConnectConfigPtrInput` via: 

        AiIndexEndpointPrivateServiceConnectConfigArgs{...}

or:

        nil

func AiIndexEndpointPrivateServiceConnectConfigPtr 

func AiIndexEndpointPrivateServiceConnectConfigPtr(v *AiIndexEndpointPrivateServiceConnectConfigArgs) AiIndexEndpointPrivateServiceConnectConfigPtrInput

type AiIndexEndpointPrivateServiceConnectConfigPtrOutput 

type AiIndexEndpointPrivateServiceConnectConfigPtrOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointPrivateServiceConnectConfigPtrOutput) Elem 

func (o AiIndexEndpointPrivateServiceConnectConfigPtrOutput) Elem() AiIndexEndpointPrivateServiceConnectConfigOutput

func (AiIndexEndpointPrivateServiceConnectConfigPtrOutput) ElementType 

func (AiIndexEndpointPrivateServiceConnectConfigPtrOutput) ElementType() reflect.Type

func (AiIndexEndpointPrivateServiceConnectConfigPtrOutput) EnablePrivateServiceConnect 

func (o AiIndexEndpointPrivateServiceConnectConfigPtrOutput) EnablePrivateServiceConnect() pulumi.BoolPtrOutput

If set to true, the IndexEndpoint is created without private service access.

func (AiIndexEndpointPrivateServiceConnectConfigPtrOutput) ProjectAllowlists 

func (o AiIndexEndpointPrivateServiceConnectConfigPtrOutput) ProjectAllowlists() pulumi.StringArrayOutput

A list of Projects from which the forwarding rule will target the service attachment.

func (AiIndexEndpointPrivateServiceConnectConfigPtrOutput) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutput 

func (o AiIndexEndpointPrivateServiceConnectConfigPtrOutput) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutput() AiIndexEndpointPrivateServiceConnectConfigPtrOutput

func (AiIndexEndpointPrivateServiceConnectConfigPtrOutput) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutputWithContext 

func (o AiIndexEndpointPrivateServiceConnectConfigPtrOutput) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutputWithContext(ctx context.Context) AiIndexEndpointPrivateServiceConnectConfigPtrOutput

type AiIndexEndpointState 

type AiIndexEndpointState struct {
	// The timestamp of when the Index was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringPtrInput
	// The description of the Index.
	Description pulumi.StringPtrInput
	// The display name of the Index. The name can be up to 128 characters long and can consist of any UTF-8 characters.
	//
	// ***
	DisplayName pulumi.StringPtrInput
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapInput
	// Used to perform consistent read-modify-write updates.
	Etag pulumi.StringPtrInput
	// The labels with user-defined metadata to organize your Indexes.
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// The resource name of the Index.
	Name pulumi.StringPtrInput
	// The full name of the Google Compute Engine [network](https://cloud.google.com//compute/docs/networks-and-firewalls#networks) to which the index endpoint should be peered.
	// Private services access must already be configured for the network. If left unspecified, the index endpoint is not peered with any network.
	// [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert): `projects/{project}/global/networks/{network}`.
	// Where `{project}` is a project number, as in `12345`, and `{network}` is network name.
	Network pulumi.StringPtrInput
	// Optional. Configuration for private service connect. `network` and `privateServiceConnectConfig` are mutually exclusive.
	// Structure is documented below.
	PrivateServiceConnectConfig AiIndexEndpointPrivateServiceConnectConfigPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// If publicEndpointEnabled is true, this field will be populated with the domain name to use for this index endpoint.
	PublicEndpointDomainName pulumi.StringPtrInput
	// If true, the deployed index will be accessible through public endpoint.
	PublicEndpointEnabled pulumi.BoolPtrInput
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapInput
	// The region of the index endpoint. eg us-central1
	Region pulumi.StringPtrInput
	// The timestamp of when the Index was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringPtrInput
}

func (AiIndexEndpointState) ElementType 

func (AiIndexEndpointState) ElementType() reflect.Type

type AiIndexIndexStat 

type AiIndexIndexStat struct {
	// (Output)
	// The number of shards in the Index.
	ShardsCount *int `pulumi:"shardsCount"`
	// (Output)
	// The number of vectors in the Index.
	VectorsCount *string `pulumi:"vectorsCount"`
}

type AiIndexIndexStatArgs 

type AiIndexIndexStatArgs struct {
	// (Output)
	// The number of shards in the Index.
	ShardsCount pulumi.IntPtrInput `pulumi:"shardsCount"`
	// (Output)
	// The number of vectors in the Index.
	VectorsCount pulumi.StringPtrInput `pulumi:"vectorsCount"`
}

func (AiIndexIndexStatArgs) ElementType 

func (AiIndexIndexStatArgs) ElementType() reflect.Type

func (AiIndexIndexStatArgs) ToAiIndexIndexStatOutput 

func (i AiIndexIndexStatArgs) ToAiIndexIndexStatOutput() AiIndexIndexStatOutput

func (AiIndexIndexStatArgs) ToAiIndexIndexStatOutputWithContext 

func (i AiIndexIndexStatArgs) ToAiIndexIndexStatOutputWithContext(ctx context.Context) AiIndexIndexStatOutput

type AiIndexIndexStatArray 

type AiIndexIndexStatArray []AiIndexIndexStatInput

func (AiIndexIndexStatArray) ElementType 

func (AiIndexIndexStatArray) ElementType() reflect.Type

func (AiIndexIndexStatArray) ToAiIndexIndexStatArrayOutput 

func (i AiIndexIndexStatArray) ToAiIndexIndexStatArrayOutput() AiIndexIndexStatArrayOutput

func (AiIndexIndexStatArray) ToAiIndexIndexStatArrayOutputWithContext 

func (i AiIndexIndexStatArray) ToAiIndexIndexStatArrayOutputWithContext(ctx context.Context) AiIndexIndexStatArrayOutput

type AiIndexIndexStatArrayInput 

type AiIndexIndexStatArrayInput interface {
	pulumi.Input

	ToAiIndexIndexStatArrayOutput() AiIndexIndexStatArrayOutput
	ToAiIndexIndexStatArrayOutputWithContext(context.Context) AiIndexIndexStatArrayOutput
}

AiIndexIndexStatArrayInput is an input type that accepts AiIndexIndexStatArray and AiIndexIndexStatArrayOutput values. You can construct a concrete instance of `AiIndexIndexStatArrayInput` via: 

AiIndexIndexStatArray{ AiIndexIndexStatArgs{...} }

type AiIndexIndexStatArrayOutput 

type AiIndexIndexStatArrayOutput struct{ *pulumi.OutputState }

func (AiIndexIndexStatArrayOutput) ElementType 

func (AiIndexIndexStatArrayOutput) ElementType() reflect.Type

func (AiIndexIndexStatArrayOutput) Index 

func (o AiIndexIndexStatArrayOutput) Index(i pulumi.IntInput) AiIndexIndexStatOutput

func (AiIndexIndexStatArrayOutput) ToAiIndexIndexStatArrayOutput 

func (o AiIndexIndexStatArrayOutput) ToAiIndexIndexStatArrayOutput() AiIndexIndexStatArrayOutput

func (AiIndexIndexStatArrayOutput) ToAiIndexIndexStatArrayOutputWithContext 

func (o AiIndexIndexStatArrayOutput) ToAiIndexIndexStatArrayOutputWithContext(ctx context.Context) AiIndexIndexStatArrayOutput

type AiIndexIndexStatInput 

type AiIndexIndexStatInput interface {
	pulumi.Input

	ToAiIndexIndexStatOutput() AiIndexIndexStatOutput
	ToAiIndexIndexStatOutputWithContext(context.Context) AiIndexIndexStatOutput
}

AiIndexIndexStatInput is an input type that accepts AiIndexIndexStatArgs and AiIndexIndexStatOutput values. You can construct a concrete instance of `AiIndexIndexStatInput` via: 

AiIndexIndexStatArgs{...}

type AiIndexIndexStatOutput 

type AiIndexIndexStatOutput struct{ *pulumi.OutputState }

func (AiIndexIndexStatOutput) ElementType 

func (AiIndexIndexStatOutput) ElementType() reflect.Type

func (AiIndexIndexStatOutput) ShardsCount 

func (o AiIndexIndexStatOutput) ShardsCount() pulumi.IntPtrOutput

(Output) The number of shards in the Index.

func (AiIndexIndexStatOutput) ToAiIndexIndexStatOutput 

func (o AiIndexIndexStatOutput) ToAiIndexIndexStatOutput() AiIndexIndexStatOutput

func (AiIndexIndexStatOutput) ToAiIndexIndexStatOutputWithContext 

func (o AiIndexIndexStatOutput) ToAiIndexIndexStatOutputWithContext(ctx context.Context) AiIndexIndexStatOutput

func (AiIndexIndexStatOutput) VectorsCount 

func (o AiIndexIndexStatOutput) VectorsCount() pulumi.StringPtrOutput

(Output) The number of vectors in the Index.

type AiIndexInput 

type AiIndexInput interface {
	pulumi.Input

	ToAiIndexOutput() AiIndexOutput
	ToAiIndexOutputWithContext(ctx context.Context) AiIndexOutput
}

type AiIndexMap 

type AiIndexMap map[string]AiIndexInput

func (AiIndexMap) ElementType 

func (AiIndexMap) ElementType() reflect.Type

func (AiIndexMap) ToAiIndexMapOutput 

func (i AiIndexMap) ToAiIndexMapOutput() AiIndexMapOutput

func (AiIndexMap) ToAiIndexMapOutputWithContext 

func (i AiIndexMap) ToAiIndexMapOutputWithContext(ctx context.Context) AiIndexMapOutput

type AiIndexMapInput 

type AiIndexMapInput interface {
	pulumi.Input

	ToAiIndexMapOutput() AiIndexMapOutput
	ToAiIndexMapOutputWithContext(context.Context) AiIndexMapOutput
}

AiIndexMapInput is an input type that accepts AiIndexMap and AiIndexMapOutput values. You can construct a concrete instance of `AiIndexMapInput` via: 

AiIndexMap{ "key": AiIndexArgs{...} }

type AiIndexMapOutput 

type AiIndexMapOutput struct{ *pulumi.OutputState }

func (AiIndexMapOutput) ElementType 

func (AiIndexMapOutput) ElementType() reflect.Type

func (AiIndexMapOutput) MapIndex 

func (o AiIndexMapOutput) MapIndex(k pulumi.StringInput) AiIndexOutput

func (AiIndexMapOutput) ToAiIndexMapOutput 

func (o AiIndexMapOutput) ToAiIndexMapOutput() AiIndexMapOutput

func (AiIndexMapOutput) ToAiIndexMapOutputWithContext 

func (o AiIndexMapOutput) ToAiIndexMapOutputWithContext(ctx context.Context) AiIndexMapOutput

type AiIndexMetadata 

type AiIndexMetadata struct {
	// The configuration of the Matching Engine Index.
	// Structure is documented below.
	Config *AiIndexMetadataConfig `pulumi:"config"`
	// Allows inserting, updating  or deleting the contents of the Matching Engine Index.
	// The string must be a valid Cloud Storage directory path. If this
	// field is set when calling IndexService.UpdateIndex, then no other
	// Index field can be also updated as part of the same call.
	// The expected structure and format of the files this URI points to is
	// described at https://cloud.google.com/vertex-ai/docs/matching-engine/using-matching-engine#input-data-format
	ContentsDeltaUri *string `pulumi:"contentsDeltaUri"`
	// If this field is set together with contentsDeltaUri when calling IndexService.UpdateIndex,
	// then existing content of the Index will be replaced by the data from the contentsDeltaUri.
	IsCompleteOverwrite *bool `pulumi:"isCompleteOverwrite"`
}

type AiIndexMetadataArgs 

type AiIndexMetadataArgs struct {
	// The configuration of the Matching Engine Index.
	// Structure is documented below.
	Config AiIndexMetadataConfigPtrInput `pulumi:"config"`
	// Allows inserting, updating  or deleting the contents of the Matching Engine Index.
	// The string must be a valid Cloud Storage directory path. If this
	// field is set when calling IndexService.UpdateIndex, then no other
	// Index field can be also updated as part of the same call.
	// The expected structure and format of the files this URI points to is
	// described at https://cloud.google.com/vertex-ai/docs/matching-engine/using-matching-engine#input-data-format
	ContentsDeltaUri pulumi.StringPtrInput `pulumi:"contentsDeltaUri"`
	// If this field is set together with contentsDeltaUri when calling IndexService.UpdateIndex,
	// then existing content of the Index will be replaced by the data from the contentsDeltaUri.
	IsCompleteOverwrite pulumi.BoolPtrInput `pulumi:"isCompleteOverwrite"`
}

func (AiIndexMetadataArgs) ElementType 

func (AiIndexMetadataArgs) ElementType() reflect.Type

func (AiIndexMetadataArgs) ToAiIndexMetadataOutput 

func (i AiIndexMetadataArgs) ToAiIndexMetadataOutput() AiIndexMetadataOutput

func (AiIndexMetadataArgs) ToAiIndexMetadataOutputWithContext 

func (i AiIndexMetadataArgs) ToAiIndexMetadataOutputWithContext(ctx context.Context) AiIndexMetadataOutput

func (AiIndexMetadataArgs) ToAiIndexMetadataPtrOutput 

func (i AiIndexMetadataArgs) ToAiIndexMetadataPtrOutput() AiIndexMetadataPtrOutput

func (AiIndexMetadataArgs) ToAiIndexMetadataPtrOutputWithContext 

func (i AiIndexMetadataArgs) ToAiIndexMetadataPtrOutputWithContext(ctx context.Context) AiIndexMetadataPtrOutput

type AiIndexMetadataConfig 

type AiIndexMetadataConfig struct {
	// The configuration with regard to the algorithms used for efficient search.
	// Structure is documented below.
	AlgorithmConfig *AiIndexMetadataConfigAlgorithmConfig `pulumi:"algorithmConfig"`
	// The default number of neighbors to find via approximate search before exact reordering is
	// performed. Exact reordering is a procedure where results returned by an
	// approximate search algorithm are reordered via a more expensive distance computation.
	// Required if tree-AH algorithm is used.
	ApproximateNeighborsCount *int `pulumi:"approximateNeighborsCount"`
	// The number of dimensions of the input vectors.
	Dimensions int `pulumi:"dimensions"`
	// The distance measure used in nearest neighbor search. The value must be one of the followings:
	// * SQUARED_L2_DISTANCE: Euclidean (L_2) Distance
	// * L1_DISTANCE: Manhattan (L_1) Distance
	// * COSINE_DISTANCE: Cosine Distance. Defined as 1 - cosine similarity.
	// * DOT_PRODUCT_DISTANCE: Dot Product Distance. Defined as a negative of the dot product
	DistanceMeasureType *string `pulumi:"distanceMeasureType"`
	// Type of normalization to be carried out on each vector. The value must be one of the followings:
	// * UNIT_L2_NORM: Unit L2 normalization type
	// * NONE: No normalization type is specified.
	FeatureNormType *string `pulumi:"featureNormType"`
	// Index data is split into equal parts to be processed. These are called "shards".
	// The shard size must be specified when creating an index. The value must be one of the followings:
	// * SHARD_SIZE_SMALL: Small (2GB)
	// * SHARD_SIZE_MEDIUM: Medium (20GB)
	// * SHARD_SIZE_LARGE: Large (50GB)
	ShardSize *string `pulumi:"shardSize"`
}

type AiIndexMetadataConfigAlgorithmConfig 

type AiIndexMetadataConfigAlgorithmConfig struct {
	// Configuration options for using brute force search, which simply implements the
	// standard linear search in the database for each query.
	BruteForceConfig *AiIndexMetadataConfigAlgorithmConfigBruteForceConfig `pulumi:"bruteForceConfig"`
	// Configuration options for using the tree-AH algorithm (Shallow tree + Asymmetric Hashing).
	// Please refer to this paper for more details: https://arxiv.org/abs/1908.10396
	// Structure is documented below.
	TreeAhConfig *AiIndexMetadataConfigAlgorithmConfigTreeAhConfig `pulumi:"treeAhConfig"`
}

type AiIndexMetadataConfigAlgorithmConfigArgs 

type AiIndexMetadataConfigAlgorithmConfigArgs struct {
	// Configuration options for using brute force search, which simply implements the
	// standard linear search in the database for each query.
	BruteForceConfig AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrInput `pulumi:"bruteForceConfig"`
	// Configuration options for using the tree-AH algorithm (Shallow tree + Asymmetric Hashing).
	// Please refer to this paper for more details: https://arxiv.org/abs/1908.10396
	// Structure is documented below.
	TreeAhConfig AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrInput `pulumi:"treeAhConfig"`
}

func (AiIndexMetadataConfigAlgorithmConfigArgs) ElementType 

func (AiIndexMetadataConfigAlgorithmConfigArgs) ElementType() reflect.Type

func (AiIndexMetadataConfigAlgorithmConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigOutput 

func (i AiIndexMetadataConfigAlgorithmConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigOutput() AiIndexMetadataConfigAlgorithmConfigOutput

func (AiIndexMetadataConfigAlgorithmConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigOutputWithContext 

func (i AiIndexMetadataConfigAlgorithmConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigOutputWithContext(ctx context.Context) AiIndexMetadataConfigAlgorithmConfigOutput

func (AiIndexMetadataConfigAlgorithmConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigPtrOutput 

func (i AiIndexMetadataConfigAlgorithmConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigPtrOutput() AiIndexMetadataConfigAlgorithmConfigPtrOutput

func (AiIndexMetadataConfigAlgorithmConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigPtrOutputWithContext 

func (i AiIndexMetadataConfigAlgorithmConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigPtrOutputWithContext(ctx context.Context) AiIndexMetadataConfigAlgorithmConfigPtrOutput

type AiIndexMetadataConfigAlgorithmConfigBruteForceConfig 

type AiIndexMetadataConfigAlgorithmConfigBruteForceConfig struct {
}

type AiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs 

type AiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs struct {
}

func (AiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs) ElementType 

func (AiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs) ElementType() reflect.Type

func (AiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput 

func (i AiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput() AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput

func (AiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutputWithContext 

func (i AiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutputWithContext(ctx context.Context) AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput

func (AiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput 

func (i AiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput() AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput

func (AiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutputWithContext 

func (i AiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutputWithContext(ctx context.Context) AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput

type AiIndexMetadataConfigAlgorithmConfigBruteForceConfigInput 

type AiIndexMetadataConfigAlgorithmConfigBruteForceConfigInput interface {
	pulumi.Input

	ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput() AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput
	ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutputWithContext(context.Context) AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput
}

AiIndexMetadataConfigAlgorithmConfigBruteForceConfigInput is an input type that accepts AiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs and AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput values. You can construct a concrete instance of `AiIndexMetadataConfigAlgorithmConfigBruteForceConfigInput` via: 

AiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs{...}

type AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput 

type AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput struct{ *pulumi.OutputState }

func (AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput) ElementType 

func (AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput) ElementType() reflect.Type

func (AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput 

func (o AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput() AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput

func (AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutputWithContext 

func (o AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutputWithContext(ctx context.Context) AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput

func (AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput 

func (o AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput() AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput

func (AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutputWithContext 

func (o AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutputWithContext(ctx context.Context) AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput

type AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrInput 

type AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrInput interface {
	pulumi.Input

	ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput() AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput
	ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutputWithContext(context.Context) AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput
}

AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrInput is an input type that accepts AiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs, AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtr and AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput values. You can construct a concrete instance of `AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrInput` via: 

        AiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs{...}

or:

        nil

func AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtr 

func AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtr(v *AiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs) AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrInput

type AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput 

type AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput struct{ *pulumi.OutputState }

func (AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput) Elem 

func (o AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput) Elem() AiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput

func (AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput) ElementType 

func (AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput) ElementType() reflect.Type

func (AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput 

func (o AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput() AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput

func (AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutputWithContext 

func (o AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput) ToAiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutputWithContext(ctx context.Context) AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput

type AiIndexMetadataConfigAlgorithmConfigInput 

type AiIndexMetadataConfigAlgorithmConfigInput interface {
	pulumi.Input

	ToAiIndexMetadataConfigAlgorithmConfigOutput() AiIndexMetadataConfigAlgorithmConfigOutput
	ToAiIndexMetadataConfigAlgorithmConfigOutputWithContext(context.Context) AiIndexMetadataConfigAlgorithmConfigOutput
}

AiIndexMetadataConfigAlgorithmConfigInput is an input type that accepts AiIndexMetadataConfigAlgorithmConfigArgs and AiIndexMetadataConfigAlgorithmConfigOutput values. You can construct a concrete instance of `AiIndexMetadataConfigAlgorithmConfigInput` via: 

AiIndexMetadataConfigAlgorithmConfigArgs{...}

type AiIndexMetadataConfigAlgorithmConfigOutput 

type AiIndexMetadataConfigAlgorithmConfigOutput struct{ *pulumi.OutputState }

func (AiIndexMetadataConfigAlgorithmConfigOutput) BruteForceConfig 

func (o AiIndexMetadataConfigAlgorithmConfigOutput) BruteForceConfig() AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput

Configuration options for using brute force search, which simply implements the standard linear search in the database for each query.

func (AiIndexMetadataConfigAlgorithmConfigOutput) ElementType 

func (AiIndexMetadataConfigAlgorithmConfigOutput) ElementType() reflect.Type

func (AiIndexMetadataConfigAlgorithmConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigOutput 

func (o AiIndexMetadataConfigAlgorithmConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigOutput() AiIndexMetadataConfigAlgorithmConfigOutput

func (AiIndexMetadataConfigAlgorithmConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigOutputWithContext 

func (o AiIndexMetadataConfigAlgorithmConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigOutputWithContext(ctx context.Context) AiIndexMetadataConfigAlgorithmConfigOutput

func (AiIndexMetadataConfigAlgorithmConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigPtrOutput 

func (o AiIndexMetadataConfigAlgorithmConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigPtrOutput() AiIndexMetadataConfigAlgorithmConfigPtrOutput

func (AiIndexMetadataConfigAlgorithmConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigPtrOutputWithContext 

func (o AiIndexMetadataConfigAlgorithmConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigPtrOutputWithContext(ctx context.Context) AiIndexMetadataConfigAlgorithmConfigPtrOutput

func (AiIndexMetadataConfigAlgorithmConfigOutput) TreeAhConfig 

func (o AiIndexMetadataConfigAlgorithmConfigOutput) TreeAhConfig() AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput

Configuration options for using the tree-AH algorithm (Shallow tree + Asymmetric Hashing). Please refer to this paper for more details: https://arxiv.org/abs/1908.10396 Structure is documented below.

type AiIndexMetadataConfigAlgorithmConfigPtrInput 

type AiIndexMetadataConfigAlgorithmConfigPtrInput interface {
	pulumi.Input

	ToAiIndexMetadataConfigAlgorithmConfigPtrOutput() AiIndexMetadataConfigAlgorithmConfigPtrOutput
	ToAiIndexMetadataConfigAlgorithmConfigPtrOutputWithContext(context.Context) AiIndexMetadataConfigAlgorithmConfigPtrOutput
}

AiIndexMetadataConfigAlgorithmConfigPtrInput is an input type that accepts AiIndexMetadataConfigAlgorithmConfigArgs, AiIndexMetadataConfigAlgorithmConfigPtr and AiIndexMetadataConfigAlgorithmConfigPtrOutput values. You can construct a concrete instance of `AiIndexMetadataConfigAlgorithmConfigPtrInput` via: 

        AiIndexMetadataConfigAlgorithmConfigArgs{...}

or:

        nil

func AiIndexMetadataConfigAlgorithmConfigPtr 

func AiIndexMetadataConfigAlgorithmConfigPtr(v *AiIndexMetadataConfigAlgorithmConfigArgs) AiIndexMetadataConfigAlgorithmConfigPtrInput

type AiIndexMetadataConfigAlgorithmConfigPtrOutput 

type AiIndexMetadataConfigAlgorithmConfigPtrOutput struct{ *pulumi.OutputState }

func (AiIndexMetadataConfigAlgorithmConfigPtrOutput) BruteForceConfig 

func (o AiIndexMetadataConfigAlgorithmConfigPtrOutput) BruteForceConfig() AiIndexMetadataConfigAlgorithmConfigBruteForceConfigPtrOutput

Configuration options for using brute force search, which simply implements the standard linear search in the database for each query.

func (AiIndexMetadataConfigAlgorithmConfigPtrOutput) Elem 

func (o AiIndexMetadataConfigAlgorithmConfigPtrOutput) Elem() AiIndexMetadataConfigAlgorithmConfigOutput

func (AiIndexMetadataConfigAlgorithmConfigPtrOutput) ElementType 

func (AiIndexMetadataConfigAlgorithmConfigPtrOutput) ElementType() reflect.Type

func (AiIndexMetadataConfigAlgorithmConfigPtrOutput) ToAiIndexMetadataConfigAlgorithmConfigPtrOutput 

func (o AiIndexMetadataConfigAlgorithmConfigPtrOutput) ToAiIndexMetadataConfigAlgorithmConfigPtrOutput() AiIndexMetadataConfigAlgorithmConfigPtrOutput

func (AiIndexMetadataConfigAlgorithmConfigPtrOutput) ToAiIndexMetadataConfigAlgorithmConfigPtrOutputWithContext 

func (o AiIndexMetadataConfigAlgorithmConfigPtrOutput) ToAiIndexMetadataConfigAlgorithmConfigPtrOutputWithContext(ctx context.Context) AiIndexMetadataConfigAlgorithmConfigPtrOutput

func (AiIndexMetadataConfigAlgorithmConfigPtrOutput) TreeAhConfig 

func (o AiIndexMetadataConfigAlgorithmConfigPtrOutput) TreeAhConfig() AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput

Configuration options for using the tree-AH algorithm (Shallow tree + Asymmetric Hashing). Please refer to this paper for more details: https://arxiv.org/abs/1908.10396 Structure is documented below.

type AiIndexMetadataConfigAlgorithmConfigTreeAhConfig 

type AiIndexMetadataConfigAlgorithmConfigTreeAhConfig struct {
	// Number of embeddings on each leaf node. The default value is 1000 if not set.
	LeafNodeEmbeddingCount *int `pulumi:"leafNodeEmbeddingCount"`
	// The default percentage of leaf nodes that any query may be searched. Must be in
	// range 1-100, inclusive. The default value is 10 (means 10%) if not set.
	LeafNodesToSearchPercent *int `pulumi:"leafNodesToSearchPercent"`
}

type AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs 

type AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs struct {
	// Number of embeddings on each leaf node. The default value is 1000 if not set.
	LeafNodeEmbeddingCount pulumi.IntPtrInput `pulumi:"leafNodeEmbeddingCount"`
	// The default percentage of leaf nodes that any query may be searched. Must be in
	// range 1-100, inclusive. The default value is 10 (means 10%) if not set.
	LeafNodesToSearchPercent pulumi.IntPtrInput `pulumi:"leafNodesToSearchPercent"`
}

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs) ElementType 

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs) ElementType() reflect.Type

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput 

func (i AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput() AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutputWithContext 

func (i AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutputWithContext(ctx context.Context) AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput 

func (i AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput() AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutputWithContext 

func (i AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutputWithContext(ctx context.Context) AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput

type AiIndexMetadataConfigAlgorithmConfigTreeAhConfigInput 

type AiIndexMetadataConfigAlgorithmConfigTreeAhConfigInput interface {
	pulumi.Input

	ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput() AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput
	ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutputWithContext(context.Context) AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput
}

AiIndexMetadataConfigAlgorithmConfigTreeAhConfigInput is an input type that accepts AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs and AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput values. You can construct a concrete instance of `AiIndexMetadataConfigAlgorithmConfigTreeAhConfigInput` via: 

AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs{...}

type AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput 

type AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput struct{ *pulumi.OutputState }

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ElementType 

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ElementType() reflect.Type

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) LeafNodeEmbeddingCount 

func (o AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) LeafNodeEmbeddingCount() pulumi.IntPtrOutput

Number of embeddings on each leaf node. The default value is 1000 if not set.

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) LeafNodesToSearchPercent 

func (o AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) LeafNodesToSearchPercent() pulumi.IntPtrOutput

The default percentage of leaf nodes that any query may be searched. Must be in range 1-100, inclusive. The default value is 10 (means 10%) if not set.

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput 

func (o AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput() AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutputWithContext 

func (o AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutputWithContext(ctx context.Context) AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput 

func (o AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput() AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutputWithContext 

func (o AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutputWithContext(ctx context.Context) AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput

type AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrInput 

type AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrInput interface {
	pulumi.Input

	ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput() AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput
	ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutputWithContext(context.Context) AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput
}

AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrInput is an input type that accepts AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs, AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtr and AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput values. You can construct a concrete instance of `AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrInput` via: 

        AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs{...}

or:

        nil

func AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtr 

func AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtr(v *AiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs) AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrInput

type AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput 

type AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput struct{ *pulumi.OutputState }

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput) Elem 

func (o AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput) Elem() AiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput) ElementType 

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput) ElementType() reflect.Type

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput) LeafNodeEmbeddingCount 

func (o AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput) LeafNodeEmbeddingCount() pulumi.IntPtrOutput

Number of embeddings on each leaf node. The default value is 1000 if not set.

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput) LeafNodesToSearchPercent 

func (o AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput) LeafNodesToSearchPercent() pulumi.IntPtrOutput

The default percentage of leaf nodes that any query may be searched. Must be in range 1-100, inclusive. The default value is 10 (means 10%) if not set.

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput 

func (o AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput() AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput

func (AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutputWithContext 

func (o AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput) ToAiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutputWithContext(ctx context.Context) AiIndexMetadataConfigAlgorithmConfigTreeAhConfigPtrOutput

type AiIndexMetadataConfigArgs 

type AiIndexMetadataConfigArgs struct {
	// The configuration with regard to the algorithms used for efficient search.
	// Structure is documented below.
	AlgorithmConfig AiIndexMetadataConfigAlgorithmConfigPtrInput `pulumi:"algorithmConfig"`
	// The default number of neighbors to find via approximate search before exact reordering is
	// performed. Exact reordering is a procedure where results returned by an
	// approximate search algorithm are reordered via a more expensive distance computation.
	// Required if tree-AH algorithm is used.
	ApproximateNeighborsCount pulumi.IntPtrInput `pulumi:"approximateNeighborsCount"`
	// The number of dimensions of the input vectors.
	Dimensions pulumi.IntInput `pulumi:"dimensions"`
	// The distance measure used in nearest neighbor search. The value must be one of the followings:
	// * SQUARED_L2_DISTANCE: Euclidean (L_2) Distance
	// * L1_DISTANCE: Manhattan (L_1) Distance
	// * COSINE_DISTANCE: Cosine Distance. Defined as 1 - cosine similarity.
	// * DOT_PRODUCT_DISTANCE: Dot Product Distance. Defined as a negative of the dot product
	DistanceMeasureType pulumi.StringPtrInput `pulumi:"distanceMeasureType"`
	// Type of normalization to be carried out on each vector. The value must be one of the followings:
	// * UNIT_L2_NORM: Unit L2 normalization type
	// * NONE: No normalization type is specified.
	FeatureNormType pulumi.StringPtrInput `pulumi:"featureNormType"`
	// Index data is split into equal parts to be processed. These are called "shards".
	// The shard size must be specified when creating an index. The value must be one of the followings:
	// * SHARD_SIZE_SMALL: Small (2GB)
	// * SHARD_SIZE_MEDIUM: Medium (20GB)
	// * SHARD_SIZE_LARGE: Large (50GB)
	ShardSize pulumi.StringPtrInput `pulumi:"shardSize"`
}

func (AiIndexMetadataConfigArgs) ElementType 

func (AiIndexMetadataConfigArgs) ElementType() reflect.Type

func (AiIndexMetadataConfigArgs) ToAiIndexMetadataConfigOutput 

func (i AiIndexMetadataConfigArgs) ToAiIndexMetadataConfigOutput() AiIndexMetadataConfigOutput

func (AiIndexMetadataConfigArgs) ToAiIndexMetadataConfigOutputWithContext 

func (i AiIndexMetadataConfigArgs) ToAiIndexMetadataConfigOutputWithContext(ctx context.Context) AiIndexMetadataConfigOutput

func (AiIndexMetadataConfigArgs) ToAiIndexMetadataConfigPtrOutput 

func (i AiIndexMetadataConfigArgs) ToAiIndexMetadataConfigPtrOutput() AiIndexMetadataConfigPtrOutput

func (AiIndexMetadataConfigArgs) ToAiIndexMetadataConfigPtrOutputWithContext 

func (i AiIndexMetadataConfigArgs) ToAiIndexMetadataConfigPtrOutputWithContext(ctx context.Context) AiIndexMetadataConfigPtrOutput

type AiIndexMetadataConfigInput 

type AiIndexMetadataConfigInput interface {
	pulumi.Input

	ToAiIndexMetadataConfigOutput() AiIndexMetadataConfigOutput
	ToAiIndexMetadataConfigOutputWithContext(context.Context) AiIndexMetadataConfigOutput
}

AiIndexMetadataConfigInput is an input type that accepts AiIndexMetadataConfigArgs and AiIndexMetadataConfigOutput values. You can construct a concrete instance of `AiIndexMetadataConfigInput` via: 

AiIndexMetadataConfigArgs{...}

type AiIndexMetadataConfigOutput 

type AiIndexMetadataConfigOutput struct{ *pulumi.OutputState }

func (AiIndexMetadataConfigOutput) AlgorithmConfig 

func (o AiIndexMetadataConfigOutput) AlgorithmConfig() AiIndexMetadataConfigAlgorithmConfigPtrOutput

The configuration with regard to the algorithms used for efficient search. Structure is documented below.

func (AiIndexMetadataConfigOutput) ApproximateNeighborsCount 

func (o AiIndexMetadataConfigOutput) ApproximateNeighborsCount() pulumi.IntPtrOutput

The default number of neighbors to find via approximate search before exact reordering is performed. Exact reordering is a procedure where results returned by an approximate search algorithm are reordered via a more expensive distance computation. Required if tree-AH algorithm is used.

func (AiIndexMetadataConfigOutput) Dimensions 

func (o AiIndexMetadataConfigOutput) Dimensions() pulumi.IntOutput

The number of dimensions of the input vectors.

func (AiIndexMetadataConfigOutput) DistanceMeasureType 

func (o AiIndexMetadataConfigOutput) DistanceMeasureType() pulumi.StringPtrOutput

The distance measure used in nearest neighbor search. The value must be one of the followings: * SQUARED_L2_DISTANCE: Euclidean (L_2) Distance * L1_DISTANCE: Manhattan (L_1) Distance * COSINE_DISTANCE: Cosine Distance. Defined as 1 - cosine similarity. * DOT_PRODUCT_DISTANCE: Dot Product Distance. Defined as a negative of the dot product

func (AiIndexMetadataConfigOutput) ElementType 

func (AiIndexMetadataConfigOutput) ElementType() reflect.Type

func (AiIndexMetadataConfigOutput) FeatureNormType 

func (o AiIndexMetadataConfigOutput) FeatureNormType() pulumi.StringPtrOutput

Type of normalization to be carried out on each vector. The value must be one of the followings: * UNIT_L2_NORM: Unit L2 normalization type * NONE: No normalization type is specified.

func (AiIndexMetadataConfigOutput) ShardSize 

func (o AiIndexMetadataConfigOutput) ShardSize() pulumi.StringPtrOutput

Index data is split into equal parts to be processed. These are called "shards". The shard size must be specified when creating an index. The value must be one of the followings: * SHARD_SIZE_SMALL: Small (2GB) * SHARD_SIZE_MEDIUM: Medium (20GB) * SHARD_SIZE_LARGE: Large (50GB)

func (AiIndexMetadataConfigOutput) ToAiIndexMetadataConfigOutput 

func (o AiIndexMetadataConfigOutput) ToAiIndexMetadataConfigOutput() AiIndexMetadataConfigOutput

func (AiIndexMetadataConfigOutput) ToAiIndexMetadataConfigOutputWithContext 

func (o AiIndexMetadataConfigOutput) ToAiIndexMetadataConfigOutputWithContext(ctx context.Context) AiIndexMetadataConfigOutput

func (AiIndexMetadataConfigOutput) ToAiIndexMetadataConfigPtrOutput 

func (o AiIndexMetadataConfigOutput) ToAiIndexMetadataConfigPtrOutput() AiIndexMetadataConfigPtrOutput

func (AiIndexMetadataConfigOutput) ToAiIndexMetadataConfigPtrOutputWithContext 

func (o AiIndexMetadataConfigOutput) ToAiIndexMetadataConfigPtrOutputWithContext(ctx context.Context) AiIndexMetadataConfigPtrOutput

type AiIndexMetadataConfigPtrInput 

type AiIndexMetadataConfigPtrInput interface {
	pulumi.Input

	ToAiIndexMetadataConfigPtrOutput() AiIndexMetadataConfigPtrOutput
	ToAiIndexMetadataConfigPtrOutputWithContext(context.Context) AiIndexMetadataConfigPtrOutput
}

AiIndexMetadataConfigPtrInput is an input type that accepts AiIndexMetadataConfigArgs, AiIndexMetadataConfigPtr and AiIndexMetadataConfigPtrOutput values. You can construct a concrete instance of `AiIndexMetadataConfigPtrInput` via: 

        AiIndexMetadataConfigArgs{...}

or:

        nil

func AiIndexMetadataConfigPtr 

func AiIndexMetadataConfigPtr(v *AiIndexMetadataConfigArgs) AiIndexMetadataConfigPtrInput

type AiIndexMetadataConfigPtrOutput 

type AiIndexMetadataConfigPtrOutput struct{ *pulumi.OutputState }

func (AiIndexMetadataConfigPtrOutput) AlgorithmConfig 

func (o AiIndexMetadataConfigPtrOutput) AlgorithmConfig() AiIndexMetadataConfigAlgorithmConfigPtrOutput

The configuration with regard to the algorithms used for efficient search. Structure is documented below.

func (AiIndexMetadataConfigPtrOutput) ApproximateNeighborsCount 

func (o AiIndexMetadataConfigPtrOutput) ApproximateNeighborsCount() pulumi.IntPtrOutput

The default number of neighbors to find via approximate search before exact reordering is performed. Exact reordering is a procedure where results returned by an approximate search algorithm are reordered via a more expensive distance computation. Required if tree-AH algorithm is used.

func (AiIndexMetadataConfigPtrOutput) Dimensions 

func (o AiIndexMetadataConfigPtrOutput) Dimensions() pulumi.IntPtrOutput

The number of dimensions of the input vectors.

func (AiIndexMetadataConfigPtrOutput) DistanceMeasureType 

func (o AiIndexMetadataConfigPtrOutput) DistanceMeasureType() pulumi.StringPtrOutput

The distance measure used in nearest neighbor search. The value must be one of the followings: * SQUARED_L2_DISTANCE: Euclidean (L_2) Distance * L1_DISTANCE: Manhattan (L_1) Distance * COSINE_DISTANCE: Cosine Distance. Defined as 1 - cosine similarity. * DOT_PRODUCT_DISTANCE: Dot Product Distance. Defined as a negative of the dot product

func (AiIndexMetadataConfigPtrOutput) Elem 

func (o AiIndexMetadataConfigPtrOutput) Elem() AiIndexMetadataConfigOutput

func (AiIndexMetadataConfigPtrOutput) ElementType 

func (AiIndexMetadataConfigPtrOutput) ElementType() reflect.Type

func (AiIndexMetadataConfigPtrOutput) FeatureNormType 

func (o AiIndexMetadataConfigPtrOutput) FeatureNormType() pulumi.StringPtrOutput

Type of normalization to be carried out on each vector. The value must be one of the followings: * UNIT_L2_NORM: Unit L2 normalization type * NONE: No normalization type is specified.

func (AiIndexMetadataConfigPtrOutput) ShardSize 

func (o AiIndexMetadataConfigPtrOutput) ShardSize() pulumi.StringPtrOutput

Index data is split into equal parts to be processed. These are called "shards". The shard size must be specified when creating an index. The value must be one of the followings: * SHARD_SIZE_SMALL: Small (2GB) * SHARD_SIZE_MEDIUM: Medium (20GB) * SHARD_SIZE_LARGE: Large (50GB)

func (AiIndexMetadataConfigPtrOutput) ToAiIndexMetadataConfigPtrOutput 

func (o AiIndexMetadataConfigPtrOutput) ToAiIndexMetadataConfigPtrOutput() AiIndexMetadataConfigPtrOutput

func (AiIndexMetadataConfigPtrOutput) ToAiIndexMetadataConfigPtrOutputWithContext 

func (o AiIndexMetadataConfigPtrOutput) ToAiIndexMetadataConfigPtrOutputWithContext(ctx context.Context) AiIndexMetadataConfigPtrOutput

type AiIndexMetadataInput 

type AiIndexMetadataInput interface {
	pulumi.Input

	ToAiIndexMetadataOutput() AiIndexMetadataOutput
	ToAiIndexMetadataOutputWithContext(context.Context) AiIndexMetadataOutput
}

AiIndexMetadataInput is an input type that accepts AiIndexMetadataArgs and AiIndexMetadataOutput values. You can construct a concrete instance of `AiIndexMetadataInput` via: 

AiIndexMetadataArgs{...}

type AiIndexMetadataOutput 

type AiIndexMetadataOutput struct{ *pulumi.OutputState }

func (AiIndexMetadataOutput) Config 

func (o AiIndexMetadataOutput) Config() AiIndexMetadataConfigPtrOutput

The configuration of the Matching Engine Index. Structure is documented below.

func (AiIndexMetadataOutput) ContentsDeltaUri 

func (o AiIndexMetadataOutput) ContentsDeltaUri() pulumi.StringPtrOutput

Allows inserting, updating or deleting the contents of the Matching Engine Index. The string must be a valid Cloud Storage directory path. If this field is set when calling IndexService.UpdateIndex, then no other Index field can be also updated as part of the same call. The expected structure and format of the files this URI points to is described at https://cloud.google.com/vertex-ai/docs/matching-engine/using-matching-engine#input-data-format

func (AiIndexMetadataOutput) ElementType 

func (AiIndexMetadataOutput) ElementType() reflect.Type

func (AiIndexMetadataOutput) IsCompleteOverwrite 

func (o AiIndexMetadataOutput) IsCompleteOverwrite() pulumi.BoolPtrOutput

If this field is set together with contentsDeltaUri when calling IndexService.UpdateIndex, then existing content of the Index will be replaced by the data from the contentsDeltaUri.

func (AiIndexMetadataOutput) ToAiIndexMetadataOutput 

func (o AiIndexMetadataOutput) ToAiIndexMetadataOutput() AiIndexMetadataOutput

func (AiIndexMetadataOutput) ToAiIndexMetadataOutputWithContext 

func (o AiIndexMetadataOutput) ToAiIndexMetadataOutputWithContext(ctx context.Context) AiIndexMetadataOutput

func (AiIndexMetadataOutput) ToAiIndexMetadataPtrOutput 

func (o AiIndexMetadataOutput) ToAiIndexMetadataPtrOutput() AiIndexMetadataPtrOutput

func (AiIndexMetadataOutput) ToAiIndexMetadataPtrOutputWithContext 

func (o AiIndexMetadataOutput) ToAiIndexMetadataPtrOutputWithContext(ctx context.Context) AiIndexMetadataPtrOutput

type AiIndexMetadataPtrInput 

type AiIndexMetadataPtrInput interface {
	pulumi.Input

	ToAiIndexMetadataPtrOutput() AiIndexMetadataPtrOutput
	ToAiIndexMetadataPtrOutputWithContext(context.Context) AiIndexMetadataPtrOutput
}

AiIndexMetadataPtrInput is an input type that accepts AiIndexMetadataArgs, AiIndexMetadataPtr and AiIndexMetadataPtrOutput values. You can construct a concrete instance of `AiIndexMetadataPtrInput` via: 

        AiIndexMetadataArgs{...}

or:

        nil

func AiIndexMetadataPtr 

func AiIndexMetadataPtr(v *AiIndexMetadataArgs) AiIndexMetadataPtrInput

type AiIndexMetadataPtrOutput 

type AiIndexMetadataPtrOutput struct{ *pulumi.OutputState }

func (AiIndexMetadataPtrOutput) Config 

func (o AiIndexMetadataPtrOutput) Config() AiIndexMetadataConfigPtrOutput

The configuration of the Matching Engine Index. Structure is documented below.

func (AiIndexMetadataPtrOutput) ContentsDeltaUri 

func (o AiIndexMetadataPtrOutput) ContentsDeltaUri() pulumi.StringPtrOutput

Allows inserting, updating or deleting the contents of the Matching Engine Index. The string must be a valid Cloud Storage directory path. If this field is set when calling IndexService.UpdateIndex, then no other Index field can be also updated as part of the same call. The expected structure and format of the files this URI points to is described at https://cloud.google.com/vertex-ai/docs/matching-engine/using-matching-engine#input-data-format

func (AiIndexMetadataPtrOutput) Elem 

func (o AiIndexMetadataPtrOutput) Elem() AiIndexMetadataOutput

func (AiIndexMetadataPtrOutput) ElementType 

func (AiIndexMetadataPtrOutput) ElementType() reflect.Type

func (AiIndexMetadataPtrOutput) IsCompleteOverwrite 

func (o AiIndexMetadataPtrOutput) IsCompleteOverwrite() pulumi.BoolPtrOutput

If this field is set together with contentsDeltaUri when calling IndexService.UpdateIndex, then existing content of the Index will be replaced by the data from the contentsDeltaUri.

func (AiIndexMetadataPtrOutput) ToAiIndexMetadataPtrOutput 

func (o AiIndexMetadataPtrOutput) ToAiIndexMetadataPtrOutput() AiIndexMetadataPtrOutput

func (AiIndexMetadataPtrOutput) ToAiIndexMetadataPtrOutputWithContext 

func (o AiIndexMetadataPtrOutput) ToAiIndexMetadataPtrOutputWithContext(ctx context.Context) AiIndexMetadataPtrOutput

type AiIndexOutput 

type AiIndexOutput struct{ *pulumi.OutputState }

func (AiIndexOutput) CreateTime 

func (o AiIndexOutput) CreateTime() pulumi.StringOutput

The timestamp of when the Index was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

func (AiIndexOutput) DeployedIndexes 

func (o AiIndexOutput) DeployedIndexes() AiIndexDeployedIndexArrayOutput

The pointers to DeployedIndexes created from this Index. An Index can be only deleted if all its DeployedIndexes had been undeployed first. Structure is documented below.

func (AiIndexOutput) Description 

func (o AiIndexOutput) Description() pulumi.StringPtrOutput

The description of the Index.

func (AiIndexOutput) DisplayName 

func (o AiIndexOutput) DisplayName() pulumi.StringOutput

The display name of the Index. The name can be up to 128 characters long and can consist of any UTF-8 characters.

***

func (AiIndexOutput) EffectiveLabels 

func (o AiIndexOutput) EffectiveLabels() pulumi.StringMapOutput

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

func (AiIndexOutput) ElementType 

func (AiIndexOutput) ElementType() reflect.Type

func (AiIndexOutput) Etag 

func (o AiIndexOutput) Etag() pulumi.StringOutput

Used to perform consistent read-modify-write updates.

func (AiIndexOutput) IndexStats 

func (o AiIndexOutput) IndexStats() AiIndexIndexStatArrayOutput

Stats of the index resource. Structure is documented below.

func (AiIndexOutput) IndexUpdateMethod 

func (o AiIndexOutput) IndexUpdateMethod() pulumi.StringPtrOutput

The update method to use with this Index. The value must be the followings. If not set, BATCH_UPDATE will be used by default. * BATCH_UPDATE: user can call indexes.patch with files on Cloud Storage of datapoints to update. * STREAM_UPDATE: user can call indexes.upsertDatapoints/DeleteDatapoints to update the Index and the updates will be applied in corresponding DeployedIndexes in nearly real-time.

func (AiIndexOutput) Labels 

func (o AiIndexOutput) Labels() pulumi.StringMapOutput

The labels with user-defined metadata to organize your Indexes. **Note**: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field `effectiveLabels` for all of the labels present on the resource.

func (AiIndexOutput) Metadata 

func (o AiIndexOutput) Metadata() AiIndexMetadataPtrOutput

An additional information about the Index Structure is documented below.

func (AiIndexOutput) MetadataSchemaUri 

func (o AiIndexOutput) MetadataSchemaUri() pulumi.StringOutput

Points to a YAML file stored on Google Cloud Storage describing additional information about the Index, that is specific to it. Unset if the Index does not have any additional information.

func (AiIndexOutput) Name 

func (o AiIndexOutput) Name() pulumi.StringOutput

The resource name of the Index.

func (AiIndexOutput) Project 

func (o AiIndexOutput) Project() pulumi.StringOutput

The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

func (AiIndexOutput) PulumiLabels 

func (o AiIndexOutput) PulumiLabels() pulumi.StringMapOutput

The combination of labels configured directly on the resource and default labels configured on the provider.

func (AiIndexOutput) Region 

func (o AiIndexOutput) Region() pulumi.StringPtrOutput

The region of the index. eg us-central1

func (AiIndexOutput) ToAiIndexOutput 

func (o AiIndexOutput) ToAiIndexOutput() AiIndexOutput

func (AiIndexOutput) ToAiIndexOutputWithContext 

func (o AiIndexOutput) ToAiIndexOutputWithContext(ctx context.Context) AiIndexOutput

func (AiIndexOutput) UpdateTime 

func (o AiIndexOutput) UpdateTime() pulumi.StringOutput

The timestamp of when the Index was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

type AiIndexState 

type AiIndexState struct {
	// The timestamp of when the Index was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringPtrInput
	// The pointers to DeployedIndexes created from this Index. An Index can be only deleted if all its DeployedIndexes had been undeployed first.
	// Structure is documented below.
	DeployedIndexes AiIndexDeployedIndexArrayInput
	// The description of the Index.
	Description pulumi.StringPtrInput
	// The display name of the Index. The name can be up to 128 characters long and can consist of any UTF-8 characters.
	//
	// ***
	DisplayName pulumi.StringPtrInput
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapInput
	// Used to perform consistent read-modify-write updates.
	Etag pulumi.StringPtrInput
	// Stats of the index resource.
	// Structure is documented below.
	IndexStats AiIndexIndexStatArrayInput
	// The update method to use with this Index. The value must be the followings. If not set, BATCH_UPDATE will be used by default.
	// * BATCH_UPDATE: user can call indexes.patch with files on Cloud Storage of datapoints to update.
	// * STREAM_UPDATE: user can call indexes.upsertDatapoints/DeleteDatapoints to update the Index and the updates will be applied in corresponding DeployedIndexes in nearly real-time.
	IndexUpdateMethod pulumi.StringPtrInput
	// The labels with user-defined metadata to organize your Indexes.
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// An additional information about the Index
	// Structure is documented below.
	Metadata AiIndexMetadataPtrInput
	// Points to a YAML file stored on Google Cloud Storage describing additional information about the Index, that is specific to it. Unset if the Index does not have any additional information.
	MetadataSchemaUri pulumi.StringPtrInput
	// The resource name of the Index.
	Name pulumi.StringPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapInput
	// The region of the index. eg us-central1
	Region pulumi.StringPtrInput
	// The timestamp of when the Index was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringPtrInput
}

func (AiIndexState) ElementType 

func (AiIndexState) ElementType() reflect.Type

type AiMetadataStore 

type AiMetadataStore struct {
	pulumi.CustomResourceState

	// The timestamp of when the MetadataStore was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringOutput `pulumi:"createTime"`
	// Description of the MetadataStore.
	Description pulumi.StringPtrOutput `pulumi:"description"`
	// Customer-managed encryption key spec for a MetadataStore. If set, this MetadataStore and all sub-resources of this MetadataStore will be secured by this key.
	// Structure is documented below.
	EncryptionSpec AiMetadataStoreEncryptionSpecPtrOutput `pulumi:"encryptionSpec"`
	// The name of the MetadataStore. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.
	Name pulumi.StringOutput `pulumi:"name"`
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringOutput `pulumi:"project"`
	// The region of the Metadata Store. eg us-central1
	Region pulumi.StringOutput `pulumi:"region"`
	// State information of the MetadataStore.
	// Structure is documented below.
	States AiMetadataStoreStateTypeArrayOutput `pulumi:"states"`
	// The timestamp of when the MetadataStore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringOutput `pulumi:"updateTime"`
}

## Example Usage

### Vertex Ai Metadata Store

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiMetadataStore(ctx, "store", &vertex.AiMetadataStoreArgs{
			Name:        pulumi.String("test-store"),
			Description: pulumi.String("Store to test the terraform module"),
			Region:      pulumi.String("us-central1"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

```

## Import

MetadataStore can be imported using any of these accepted formats:

* `projects/{{project}}/locations/{{region}}/metadataStores/{{name}}`

* `{{project}}/{{region}}/{{name}}`

* `{{region}}/{{name}}`

* `{{name}}`

When using the `pulumi import` command, MetadataStore can be imported using one of the formats above. For example:

```sh $ pulumi import gcp:vertex/aiMetadataStore:AiMetadataStore default projects/{{project}}/locations/{{region}}/metadataStores/{{name}} ```

```sh $ pulumi import gcp:vertex/aiMetadataStore:AiMetadataStore default {{project}}/{{region}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiMetadataStore:AiMetadataStore default {{region}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiMetadataStore:AiMetadataStore default {{name}} ```

func GetAiMetadataStore 

func GetAiMetadataStore(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiMetadataStoreState, opts ...pulumi.ResourceOption) (*AiMetadataStore, error)

GetAiMetadataStore gets an existing AiMetadataStore resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiMetadataStore 

func NewAiMetadataStore(ctx *pulumi.Context,
	name string, args *AiMetadataStoreArgs, opts ...pulumi.ResourceOption) (*AiMetadataStore, error)

NewAiMetadataStore registers a new resource with the given unique name, arguments, and options.

func (*AiMetadataStore) ElementType 

func (*AiMetadataStore) ElementType() reflect.Type

func (*AiMetadataStore) ToAiMetadataStoreOutput 

func (i *AiMetadataStore) ToAiMetadataStoreOutput() AiMetadataStoreOutput

func (*AiMetadataStore) ToAiMetadataStoreOutputWithContext 

func (i *AiMetadataStore) ToAiMetadataStoreOutputWithContext(ctx context.Context) AiMetadataStoreOutput

type AiMetadataStoreArgs 

type AiMetadataStoreArgs struct {
	// Description of the MetadataStore.
	Description pulumi.StringPtrInput
	// Customer-managed encryption key spec for a MetadataStore. If set, this MetadataStore and all sub-resources of this MetadataStore will be secured by this key.
	// Structure is documented below.
	EncryptionSpec AiMetadataStoreEncryptionSpecPtrInput
	// The name of the MetadataStore. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.
	Name pulumi.StringPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The region of the Metadata Store. eg us-central1
	Region pulumi.StringPtrInput
}

The set of arguments for constructing a AiMetadataStore resource.

func (AiMetadataStoreArgs) ElementType 

func (AiMetadataStoreArgs) ElementType() reflect.Type

type AiMetadataStoreArray 

type AiMetadataStoreArray []AiMetadataStoreInput

func (AiMetadataStoreArray) ElementType 

func (AiMetadataStoreArray) ElementType() reflect.Type

func (AiMetadataStoreArray) ToAiMetadataStoreArrayOutput 

func (i AiMetadataStoreArray) ToAiMetadataStoreArrayOutput() AiMetadataStoreArrayOutput

func (AiMetadataStoreArray) ToAiMetadataStoreArrayOutputWithContext 

func (i AiMetadataStoreArray) ToAiMetadataStoreArrayOutputWithContext(ctx context.Context) AiMetadataStoreArrayOutput

type AiMetadataStoreArrayInput 

type AiMetadataStoreArrayInput interface {
	pulumi.Input

	ToAiMetadataStoreArrayOutput() AiMetadataStoreArrayOutput
	ToAiMetadataStoreArrayOutputWithContext(context.Context) AiMetadataStoreArrayOutput
}

AiMetadataStoreArrayInput is an input type that accepts AiMetadataStoreArray and AiMetadataStoreArrayOutput values. You can construct a concrete instance of `AiMetadataStoreArrayInput` via: 

AiMetadataStoreArray{ AiMetadataStoreArgs{...} }

type AiMetadataStoreArrayOutput 

type AiMetadataStoreArrayOutput struct{ *pulumi.OutputState }

func (AiMetadataStoreArrayOutput) ElementType 

func (AiMetadataStoreArrayOutput) ElementType() reflect.Type

func (AiMetadataStoreArrayOutput) Index 

func (o AiMetadataStoreArrayOutput) Index(i pulumi.IntInput) AiMetadataStoreOutput

func (AiMetadataStoreArrayOutput) ToAiMetadataStoreArrayOutput 

func (o AiMetadataStoreArrayOutput) ToAiMetadataStoreArrayOutput() AiMetadataStoreArrayOutput

func (AiMetadataStoreArrayOutput) ToAiMetadataStoreArrayOutputWithContext 

func (o AiMetadataStoreArrayOutput) ToAiMetadataStoreArrayOutputWithContext(ctx context.Context) AiMetadataStoreArrayOutput

type AiMetadataStoreEncryptionSpec 

type AiMetadataStoreEncryptionSpec struct {
	// Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource.
	// Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the resource is created.
	KmsKeyName *string `pulumi:"kmsKeyName"`
}

type AiMetadataStoreEncryptionSpecArgs 

type AiMetadataStoreEncryptionSpecArgs struct {
	// Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource.
	// Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the resource is created.
	KmsKeyName pulumi.StringPtrInput `pulumi:"kmsKeyName"`
}

func (AiMetadataStoreEncryptionSpecArgs) ElementType 

func (AiMetadataStoreEncryptionSpecArgs) ElementType() reflect.Type

func (AiMetadataStoreEncryptionSpecArgs) ToAiMetadataStoreEncryptionSpecOutput 

func (i AiMetadataStoreEncryptionSpecArgs) ToAiMetadataStoreEncryptionSpecOutput() AiMetadataStoreEncryptionSpecOutput

func (AiMetadataStoreEncryptionSpecArgs) ToAiMetadataStoreEncryptionSpecOutputWithContext 

func (i AiMetadataStoreEncryptionSpecArgs) ToAiMetadataStoreEncryptionSpecOutputWithContext(ctx context.Context) AiMetadataStoreEncryptionSpecOutput

func (AiMetadataStoreEncryptionSpecArgs) ToAiMetadataStoreEncryptionSpecPtrOutput 

func (i AiMetadataStoreEncryptionSpecArgs) ToAiMetadataStoreEncryptionSpecPtrOutput() AiMetadataStoreEncryptionSpecPtrOutput

func (AiMetadataStoreEncryptionSpecArgs) ToAiMetadataStoreEncryptionSpecPtrOutputWithContext 

func (i AiMetadataStoreEncryptionSpecArgs) ToAiMetadataStoreEncryptionSpecPtrOutputWithContext(ctx context.Context) AiMetadataStoreEncryptionSpecPtrOutput

type AiMetadataStoreEncryptionSpecInput 

type AiMetadataStoreEncryptionSpecInput interface {
	pulumi.Input

	ToAiMetadataStoreEncryptionSpecOutput() AiMetadataStoreEncryptionSpecOutput
	ToAiMetadataStoreEncryptionSpecOutputWithContext(context.Context) AiMetadataStoreEncryptionSpecOutput
}

AiMetadataStoreEncryptionSpecInput is an input type that accepts AiMetadataStoreEncryptionSpecArgs and AiMetadataStoreEncryptionSpecOutput values. You can construct a concrete instance of `AiMetadataStoreEncryptionSpecInput` via: 

AiMetadataStoreEncryptionSpecArgs{...}

type AiMetadataStoreEncryptionSpecOutput 

type AiMetadataStoreEncryptionSpecOutput struct{ *pulumi.OutputState }

func (AiMetadataStoreEncryptionSpecOutput) ElementType 

func (AiMetadataStoreEncryptionSpecOutput) ElementType() reflect.Type

func (AiMetadataStoreEncryptionSpecOutput) KmsKeyName 

func (o AiMetadataStoreEncryptionSpecOutput) KmsKeyName() pulumi.StringPtrOutput

Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the resource is created.

func (AiMetadataStoreEncryptionSpecOutput) ToAiMetadataStoreEncryptionSpecOutput 

func (o AiMetadataStoreEncryptionSpecOutput) ToAiMetadataStoreEncryptionSpecOutput() AiMetadataStoreEncryptionSpecOutput

func (AiMetadataStoreEncryptionSpecOutput) ToAiMetadataStoreEncryptionSpecOutputWithContext 

func (o AiMetadataStoreEncryptionSpecOutput) ToAiMetadataStoreEncryptionSpecOutputWithContext(ctx context.Context) AiMetadataStoreEncryptionSpecOutput

func (AiMetadataStoreEncryptionSpecOutput) ToAiMetadataStoreEncryptionSpecPtrOutput 

func (o AiMetadataStoreEncryptionSpecOutput) ToAiMetadataStoreEncryptionSpecPtrOutput() AiMetadataStoreEncryptionSpecPtrOutput

func (AiMetadataStoreEncryptionSpecOutput) ToAiMetadataStoreEncryptionSpecPtrOutputWithContext 

func (o AiMetadataStoreEncryptionSpecOutput) ToAiMetadataStoreEncryptionSpecPtrOutputWithContext(ctx context.Context) AiMetadataStoreEncryptionSpecPtrOutput

type AiMetadataStoreEncryptionSpecPtrInput 

type AiMetadataStoreEncryptionSpecPtrInput interface {
	pulumi.Input

	ToAiMetadataStoreEncryptionSpecPtrOutput() AiMetadataStoreEncryptionSpecPtrOutput
	ToAiMetadataStoreEncryptionSpecPtrOutputWithContext(context.Context) AiMetadataStoreEncryptionSpecPtrOutput
}

AiMetadataStoreEncryptionSpecPtrInput is an input type that accepts AiMetadataStoreEncryptionSpecArgs, AiMetadataStoreEncryptionSpecPtr and AiMetadataStoreEncryptionSpecPtrOutput values. You can construct a concrete instance of `AiMetadataStoreEncryptionSpecPtrInput` via: 

        AiMetadataStoreEncryptionSpecArgs{...}

or:

        nil

func AiMetadataStoreEncryptionSpecPtr 

func AiMetadataStoreEncryptionSpecPtr(v *AiMetadataStoreEncryptionSpecArgs) AiMetadataStoreEncryptionSpecPtrInput

type AiMetadataStoreEncryptionSpecPtrOutput 

type AiMetadataStoreEncryptionSpecPtrOutput struct{ *pulumi.OutputState }

func (AiMetadataStoreEncryptionSpecPtrOutput) Elem 

func (o AiMetadataStoreEncryptionSpecPtrOutput) Elem() AiMetadataStoreEncryptionSpecOutput

func (AiMetadataStoreEncryptionSpecPtrOutput) ElementType 

func (AiMetadataStoreEncryptionSpecPtrOutput) ElementType() reflect.Type

func (AiMetadataStoreEncryptionSpecPtrOutput) KmsKeyName 

func (o AiMetadataStoreEncryptionSpecPtrOutput) KmsKeyName() pulumi.StringPtrOutput

Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the resource is created.

func (AiMetadataStoreEncryptionSpecPtrOutput) ToAiMetadataStoreEncryptionSpecPtrOutput 

func (o AiMetadataStoreEncryptionSpecPtrOutput) ToAiMetadataStoreEncryptionSpecPtrOutput() AiMetadataStoreEncryptionSpecPtrOutput

func (AiMetadataStoreEncryptionSpecPtrOutput) ToAiMetadataStoreEncryptionSpecPtrOutputWithContext 

func (o AiMetadataStoreEncryptionSpecPtrOutput) ToAiMetadataStoreEncryptionSpecPtrOutputWithContext(ctx context.Context) AiMetadataStoreEncryptionSpecPtrOutput

type AiMetadataStoreInput 

type AiMetadataStoreInput interface {
	pulumi.Input

	ToAiMetadataStoreOutput() AiMetadataStoreOutput
	ToAiMetadataStoreOutputWithContext(ctx context.Context) AiMetadataStoreOutput
}

type AiMetadataStoreMap 

type AiMetadataStoreMap map[string]AiMetadataStoreInput

func (AiMetadataStoreMap) ElementType 

func (AiMetadataStoreMap) ElementType() reflect.Type

func (AiMetadataStoreMap) ToAiMetadataStoreMapOutput 

func (i AiMetadataStoreMap) ToAiMetadataStoreMapOutput() AiMetadataStoreMapOutput

func (AiMetadataStoreMap) ToAiMetadataStoreMapOutputWithContext 

func (i AiMetadataStoreMap) ToAiMetadataStoreMapOutputWithContext(ctx context.Context) AiMetadataStoreMapOutput

type AiMetadataStoreMapInput 

type AiMetadataStoreMapInput interface {
	pulumi.Input

	ToAiMetadataStoreMapOutput() AiMetadataStoreMapOutput
	ToAiMetadataStoreMapOutputWithContext(context.Context) AiMetadataStoreMapOutput
}

AiMetadataStoreMapInput is an input type that accepts AiMetadataStoreMap and AiMetadataStoreMapOutput values. You can construct a concrete instance of `AiMetadataStoreMapInput` via: 

AiMetadataStoreMap{ "key": AiMetadataStoreArgs{...} }

type AiMetadataStoreMapOutput 

type AiMetadataStoreMapOutput struct{ *pulumi.OutputState }

func (AiMetadataStoreMapOutput) ElementType 

func (AiMetadataStoreMapOutput) ElementType() reflect.Type

func (AiMetadataStoreMapOutput) MapIndex 

func (o AiMetadataStoreMapOutput) MapIndex(k pulumi.StringInput) AiMetadataStoreOutput

func (AiMetadataStoreMapOutput) ToAiMetadataStoreMapOutput 

func (o AiMetadataStoreMapOutput) ToAiMetadataStoreMapOutput() AiMetadataStoreMapOutput

func (AiMetadataStoreMapOutput) ToAiMetadataStoreMapOutputWithContext 

func (o AiMetadataStoreMapOutput) ToAiMetadataStoreMapOutputWithContext(ctx context.Context) AiMetadataStoreMapOutput

type AiMetadataStoreOutput 

type AiMetadataStoreOutput struct{ *pulumi.OutputState }

func (AiMetadataStoreOutput) CreateTime 

func (o AiMetadataStoreOutput) CreateTime() pulumi.StringOutput

The timestamp of when the MetadataStore was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

func (AiMetadataStoreOutput) Description 

func (o AiMetadataStoreOutput) Description() pulumi.StringPtrOutput

Description of the MetadataStore.

func (AiMetadataStoreOutput) ElementType 

func (AiMetadataStoreOutput) ElementType() reflect.Type

func (AiMetadataStoreOutput) EncryptionSpec 

func (o AiMetadataStoreOutput) EncryptionSpec() AiMetadataStoreEncryptionSpecPtrOutput

Customer-managed encryption key spec for a MetadataStore. If set, this MetadataStore and all sub-resources of this MetadataStore will be secured by this key. Structure is documented below.

func (AiMetadataStoreOutput) Name 

func (o AiMetadataStoreOutput) Name() pulumi.StringOutput

The name of the MetadataStore. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.

func (AiMetadataStoreOutput) Project 

func (o AiMetadataStoreOutput) Project() pulumi.StringOutput

The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

func (AiMetadataStoreOutput) Region 

func (o AiMetadataStoreOutput) Region() pulumi.StringOutput

The region of the Metadata Store. eg us-central1

func (AiMetadataStoreOutput) States 

func (o AiMetadataStoreOutput) States() AiMetadataStoreStateTypeArrayOutput

State information of the MetadataStore. Structure is documented below.

func (AiMetadataStoreOutput) ToAiMetadataStoreOutput 

func (o AiMetadataStoreOutput) ToAiMetadataStoreOutput() AiMetadataStoreOutput

func (AiMetadataStoreOutput) ToAiMetadataStoreOutputWithContext 

func (o AiMetadataStoreOutput) ToAiMetadataStoreOutputWithContext(ctx context.Context) AiMetadataStoreOutput

func (AiMetadataStoreOutput) UpdateTime 

func (o AiMetadataStoreOutput) UpdateTime() pulumi.StringOutput

The timestamp of when the MetadataStore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

type AiMetadataStoreState 

type AiMetadataStoreState struct {
	// The timestamp of when the MetadataStore was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringPtrInput
	// Description of the MetadataStore.
	Description pulumi.StringPtrInput
	// Customer-managed encryption key spec for a MetadataStore. If set, this MetadataStore and all sub-resources of this MetadataStore will be secured by this key.
	// Structure is documented below.
	EncryptionSpec AiMetadataStoreEncryptionSpecPtrInput
	// The name of the MetadataStore. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.
	Name pulumi.StringPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The region of the Metadata Store. eg us-central1
	Region pulumi.StringPtrInput
	// State information of the MetadataStore.
	// Structure is documented below.
	States AiMetadataStoreStateTypeArrayInput
	// The timestamp of when the MetadataStore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringPtrInput
}

func (AiMetadataStoreState) ElementType 

func (AiMetadataStoreState) ElementType() reflect.Type

type AiMetadataStoreStateType 

type AiMetadataStoreStateType struct {
	// (Output)
	// The disk utilization of the MetadataStore in bytes.
	DiskUtilizationBytes *string `pulumi:"diskUtilizationBytes"`
}

type AiMetadataStoreStateTypeArgs 

type AiMetadataStoreStateTypeArgs struct {
	// (Output)
	// The disk utilization of the MetadataStore in bytes.
	DiskUtilizationBytes pulumi.StringPtrInput `pulumi:"diskUtilizationBytes"`
}

func (AiMetadataStoreStateTypeArgs) ElementType 

func (AiMetadataStoreStateTypeArgs) ElementType() reflect.Type

func (AiMetadataStoreStateTypeArgs) ToAiMetadataStoreStateTypeOutput 

func (i AiMetadataStoreStateTypeArgs) ToAiMetadataStoreStateTypeOutput() AiMetadataStoreStateTypeOutput

func (AiMetadataStoreStateTypeArgs) ToAiMetadataStoreStateTypeOutputWithContext 

func (i AiMetadataStoreStateTypeArgs) ToAiMetadataStoreStateTypeOutputWithContext(ctx context.Context) AiMetadataStoreStateTypeOutput

type AiMetadataStoreStateTypeArray 

type AiMetadataStoreStateTypeArray []AiMetadataStoreStateTypeInput

func (AiMetadataStoreStateTypeArray) ElementType 

func (AiMetadataStoreStateTypeArray) ElementType() reflect.Type

func (AiMetadataStoreStateTypeArray) ToAiMetadataStoreStateTypeArrayOutput 

func (i AiMetadataStoreStateTypeArray) ToAiMetadataStoreStateTypeArrayOutput() AiMetadataStoreStateTypeArrayOutput

func (AiMetadataStoreStateTypeArray) ToAiMetadataStoreStateTypeArrayOutputWithContext 

func (i AiMetadataStoreStateTypeArray) ToAiMetadataStoreStateTypeArrayOutputWithContext(ctx context.Context) AiMetadataStoreStateTypeArrayOutput

type AiMetadataStoreStateTypeArrayInput 

type AiMetadataStoreStateTypeArrayInput interface {
	pulumi.Input

	ToAiMetadataStoreStateTypeArrayOutput() AiMetadataStoreStateTypeArrayOutput
	ToAiMetadataStoreStateTypeArrayOutputWithContext(context.Context) AiMetadataStoreStateTypeArrayOutput
}

AiMetadataStoreStateTypeArrayInput is an input type that accepts AiMetadataStoreStateTypeArray and AiMetadataStoreStateTypeArrayOutput values. You can construct a concrete instance of `AiMetadataStoreStateTypeArrayInput` via: 

AiMetadataStoreStateTypeArray{ AiMetadataStoreStateTypeArgs{...} }

type AiMetadataStoreStateTypeArrayOutput 

type AiMetadataStoreStateTypeArrayOutput struct{ *pulumi.OutputState }

func (AiMetadataStoreStateTypeArrayOutput) ElementType 

func (AiMetadataStoreStateTypeArrayOutput) ElementType() reflect.Type

func (AiMetadataStoreStateTypeArrayOutput) Index 

func (o AiMetadataStoreStateTypeArrayOutput) Index(i pulumi.IntInput) AiMetadataStoreStateTypeOutput

func (AiMetadataStoreStateTypeArrayOutput) ToAiMetadataStoreStateTypeArrayOutput 

func (o AiMetadataStoreStateTypeArrayOutput) ToAiMetadataStoreStateTypeArrayOutput() AiMetadataStoreStateTypeArrayOutput

func (AiMetadataStoreStateTypeArrayOutput) ToAiMetadataStoreStateTypeArrayOutputWithContext 

func (o AiMetadataStoreStateTypeArrayOutput) ToAiMetadataStoreStateTypeArrayOutputWithContext(ctx context.Context) AiMetadataStoreStateTypeArrayOutput

type AiMetadataStoreStateTypeInput 

type AiMetadataStoreStateTypeInput interface {
	pulumi.Input

	ToAiMetadataStoreStateTypeOutput() AiMetadataStoreStateTypeOutput
	ToAiMetadataStoreStateTypeOutputWithContext(context.Context) AiMetadataStoreStateTypeOutput
}

AiMetadataStoreStateTypeInput is an input type that accepts AiMetadataStoreStateTypeArgs and AiMetadataStoreStateTypeOutput values. You can construct a concrete instance of `AiMetadataStoreStateTypeInput` via: 

AiMetadataStoreStateTypeArgs{...}

type AiMetadataStoreStateTypeOutput 

type AiMetadataStoreStateTypeOutput struct{ *pulumi.OutputState }

func (AiMetadataStoreStateTypeOutput) DiskUtilizationBytes 

func (o AiMetadataStoreStateTypeOutput) DiskUtilizationBytes() pulumi.StringPtrOutput

(Output) The disk utilization of the MetadataStore in bytes.

func (AiMetadataStoreStateTypeOutput) ElementType 

func (AiMetadataStoreStateTypeOutput) ElementType() reflect.Type

func (AiMetadataStoreStateTypeOutput) ToAiMetadataStoreStateTypeOutput 

func (o AiMetadataStoreStateTypeOutput) ToAiMetadataStoreStateTypeOutput() AiMetadataStoreStateTypeOutput

func (AiMetadataStoreStateTypeOutput) ToAiMetadataStoreStateTypeOutputWithContext 

func (o AiMetadataStoreStateTypeOutput) ToAiMetadataStoreStateTypeOutputWithContext(ctx context.Context) AiMetadataStoreStateTypeOutput

type AiTensorboard 

type AiTensorboard struct {
	pulumi.CustomResourceState

	// Consumer project Cloud Storage path prefix used to store blob data, which can either be a bucket or directory. Does not end with a '/'.
	BlobStoragePathPrefix pulumi.StringOutput `pulumi:"blobStoragePathPrefix"`
	// The timestamp of when the Tensorboard was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringOutput `pulumi:"createTime"`
	// Description of this Tensorboard.
	Description pulumi.StringPtrOutput `pulumi:"description"`
	// User provided name of this Tensorboard.
	//
	// ***
	DisplayName pulumi.StringOutput `pulumi:"displayName"`
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapOutput `pulumi:"effectiveLabels"`
	// Customer-managed encryption key spec for a Tensorboard. If set, this Tensorboard and all sub-resources of this Tensorboard will be secured by this key.
	// Structure is documented below.
	EncryptionSpec AiTensorboardEncryptionSpecPtrOutput `pulumi:"encryptionSpec"`
	// The labels with user-defined metadata to organize your Tensorboards.
	//
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapOutput `pulumi:"labels"`
	// Name of the Tensorboard.
	Name pulumi.StringOutput `pulumi:"name"`
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringOutput `pulumi:"project"`
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapOutput `pulumi:"pulumiLabels"`
	// The region of the tensorboard. eg us-central1
	Region pulumi.StringOutput `pulumi:"region"`
	// The number of Runs stored in this Tensorboard.
	RunCount pulumi.StringOutput `pulumi:"runCount"`
	// The timestamp of when the Tensorboard was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringOutput `pulumi:"updateTime"`
}

Tensorboard is a physical database that stores users' training metrics. A default Tensorboard is provided in each region of a GCP project. If needed users can also create extra Tensorboards in their projects.

To get more information about Tensorboard, see:

* [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.tensorboards) * How-to Guides

## Example Usage

### Vertex Ai Tensorboard

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiTensorboard(ctx, "tensorboard", &vertex.AiTensorboardArgs{
			DisplayName: pulumi.String("terraform"),
			Description: pulumi.String("sample description"),
			Labels: pulumi.StringMap{
				"key1": pulumi.String("value1"),
				"key2": pulumi.String("value2"),
			},
			Region: pulumi.String("us-central1"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

``` ### Vertex Ai Tensorboard Full

```go package main

import ( 

"fmt"

"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/kms"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/organizations"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		project, err := organizations.LookupProject(ctx, &organizations.LookupProjectArgs{}, nil)
		if err != nil {
			return err
		}
		cryptoKey, err := kms.NewCryptoKeyIAMMember(ctx, "crypto_key", &kms.CryptoKeyIAMMemberArgs{
			CryptoKeyId: pulumi.String("kms-name"),
			Role:        pulumi.String("roles/cloudkms.cryptoKeyEncrypterDecrypter"),
			Member:      pulumi.Sprintf("serviceAccount:service-%v@gcp-sa-aiplatform.iam.gserviceaccount.com", project.Number),
		})
		if err != nil {
			return err
		}
		_, err = vertex.NewAiTensorboard(ctx, "tensorboard", &vertex.AiTensorboardArgs{
			DisplayName: pulumi.String("terraform"),
			Description: pulumi.String("sample description"),
			Labels: pulumi.StringMap{
				"key1": pulumi.String("value1"),
				"key2": pulumi.String("value2"),
			},
			Region: pulumi.String("us-central1"),
			EncryptionSpec: &vertex.AiTensorboardEncryptionSpecArgs{
				KmsKeyName: pulumi.String("kms-name"),
			},
		}, pulumi.DependsOn([]pulumi.Resource{
			cryptoKey,
		}))
		if err != nil {
			return err
		}
		return nil
	})
}

```

## Import

Tensorboard can be imported using any of these accepted formats:

* `projects/{{project}}/locations/{{region}}/tensorboards/{{name}}`

* `{{project}}/{{region}}/{{name}}`

* `{{region}}/{{name}}`

* `{{name}}`

When using the `pulumi import` command, Tensorboard can be imported using one of the formats above. For example:

```sh $ pulumi import gcp:vertex/aiTensorboard:AiTensorboard default projects/{{project}}/locations/{{region}}/tensorboards/{{name}} ```

```sh $ pulumi import gcp:vertex/aiTensorboard:AiTensorboard default {{project}}/{{region}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiTensorboard:AiTensorboard default {{region}}/{{name}} ```

```sh $ pulumi import gcp:vertex/aiTensorboard:AiTensorboard default {{name}} ```

func GetAiTensorboard 

func GetAiTensorboard(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *AiTensorboardState, opts ...pulumi.ResourceOption) (*AiTensorboard, error)

GetAiTensorboard gets an existing AiTensorboard resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewAiTensorboard 

func NewAiTensorboard(ctx *pulumi.Context,
	name string, args *AiTensorboardArgs, opts ...pulumi.ResourceOption) (*AiTensorboard, error)

NewAiTensorboard registers a new resource with the given unique name, arguments, and options.

func (*AiTensorboard) ElementType 

func (*AiTensorboard) ElementType() reflect.Type

func (*AiTensorboard) ToAiTensorboardOutput 

func (i *AiTensorboard) ToAiTensorboardOutput() AiTensorboardOutput

func (*AiTensorboard) ToAiTensorboardOutputWithContext 

func (i *AiTensorboard) ToAiTensorboardOutputWithContext(ctx context.Context) AiTensorboardOutput

type AiTensorboardArgs 

type AiTensorboardArgs struct {
	// Description of this Tensorboard.
	Description pulumi.StringPtrInput
	// User provided name of this Tensorboard.
	//
	// ***
	DisplayName pulumi.StringInput
	// Customer-managed encryption key spec for a Tensorboard. If set, this Tensorboard and all sub-resources of this Tensorboard will be secured by this key.
	// Structure is documented below.
	EncryptionSpec AiTensorboardEncryptionSpecPtrInput
	// The labels with user-defined metadata to organize your Tensorboards.
	//
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The region of the tensorboard. eg us-central1
	Region pulumi.StringPtrInput
}

The set of arguments for constructing a AiTensorboard resource.

func (AiTensorboardArgs) ElementType 

func (AiTensorboardArgs) ElementType() reflect.Type

type AiTensorboardArray 

type AiTensorboardArray []AiTensorboardInput

func (AiTensorboardArray) ElementType 

func (AiTensorboardArray) ElementType() reflect.Type

func (AiTensorboardArray) ToAiTensorboardArrayOutput 

func (i AiTensorboardArray) ToAiTensorboardArrayOutput() AiTensorboardArrayOutput

func (AiTensorboardArray) ToAiTensorboardArrayOutputWithContext 

func (i AiTensorboardArray) ToAiTensorboardArrayOutputWithContext(ctx context.Context) AiTensorboardArrayOutput

type AiTensorboardArrayInput 

type AiTensorboardArrayInput interface {
	pulumi.Input

	ToAiTensorboardArrayOutput() AiTensorboardArrayOutput
	ToAiTensorboardArrayOutputWithContext(context.Context) AiTensorboardArrayOutput
}

AiTensorboardArrayInput is an input type that accepts AiTensorboardArray and AiTensorboardArrayOutput values. You can construct a concrete instance of `AiTensorboardArrayInput` via: 

AiTensorboardArray{ AiTensorboardArgs{...} }

type AiTensorboardArrayOutput 

type AiTensorboardArrayOutput struct{ *pulumi.OutputState }

func (AiTensorboardArrayOutput) ElementType 

func (AiTensorboardArrayOutput) ElementType() reflect.Type

func (AiTensorboardArrayOutput) Index 

func (o AiTensorboardArrayOutput) Index(i pulumi.IntInput) AiTensorboardOutput

func (AiTensorboardArrayOutput) ToAiTensorboardArrayOutput 

func (o AiTensorboardArrayOutput) ToAiTensorboardArrayOutput() AiTensorboardArrayOutput

func (AiTensorboardArrayOutput) ToAiTensorboardArrayOutputWithContext 

func (o AiTensorboardArrayOutput) ToAiTensorboardArrayOutputWithContext(ctx context.Context) AiTensorboardArrayOutput

type AiTensorboardEncryptionSpec 

type AiTensorboardEncryptionSpec struct {
	// The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource.
	// Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the resource is created.
	KmsKeyName string `pulumi:"kmsKeyName"`
}

type AiTensorboardEncryptionSpecArgs 

type AiTensorboardEncryptionSpecArgs struct {
	// The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource.
	// Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the resource is created.
	KmsKeyName pulumi.StringInput `pulumi:"kmsKeyName"`
}

func (AiTensorboardEncryptionSpecArgs) ElementType 

func (AiTensorboardEncryptionSpecArgs) ElementType() reflect.Type

func (AiTensorboardEncryptionSpecArgs) ToAiTensorboardEncryptionSpecOutput 

func (i AiTensorboardEncryptionSpecArgs) ToAiTensorboardEncryptionSpecOutput() AiTensorboardEncryptionSpecOutput

func (AiTensorboardEncryptionSpecArgs) ToAiTensorboardEncryptionSpecOutputWithContext 

func (i AiTensorboardEncryptionSpecArgs) ToAiTensorboardEncryptionSpecOutputWithContext(ctx context.Context) AiTensorboardEncryptionSpecOutput

func (AiTensorboardEncryptionSpecArgs) ToAiTensorboardEncryptionSpecPtrOutput 

func (i AiTensorboardEncryptionSpecArgs) ToAiTensorboardEncryptionSpecPtrOutput() AiTensorboardEncryptionSpecPtrOutput

func (AiTensorboardEncryptionSpecArgs) ToAiTensorboardEncryptionSpecPtrOutputWithContext 

func (i AiTensorboardEncryptionSpecArgs) ToAiTensorboardEncryptionSpecPtrOutputWithContext(ctx context.Context) AiTensorboardEncryptionSpecPtrOutput

type AiTensorboardEncryptionSpecInput 

type AiTensorboardEncryptionSpecInput interface {
	pulumi.Input

	ToAiTensorboardEncryptionSpecOutput() AiTensorboardEncryptionSpecOutput
	ToAiTensorboardEncryptionSpecOutputWithContext(context.Context) AiTensorboardEncryptionSpecOutput
}

AiTensorboardEncryptionSpecInput is an input type that accepts AiTensorboardEncryptionSpecArgs and AiTensorboardEncryptionSpecOutput values. You can construct a concrete instance of `AiTensorboardEncryptionSpecInput` via: 

AiTensorboardEncryptionSpecArgs{...}

type AiTensorboardEncryptionSpecOutput 

type AiTensorboardEncryptionSpecOutput struct{ *pulumi.OutputState }

func (AiTensorboardEncryptionSpecOutput) ElementType 

func (AiTensorboardEncryptionSpecOutput) ElementType() reflect.Type

func (AiTensorboardEncryptionSpecOutput) KmsKeyName 

func (o AiTensorboardEncryptionSpecOutput) KmsKeyName() pulumi.StringOutput

The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the resource is created.

func (AiTensorboardEncryptionSpecOutput) ToAiTensorboardEncryptionSpecOutput 

func (o AiTensorboardEncryptionSpecOutput) ToAiTensorboardEncryptionSpecOutput() AiTensorboardEncryptionSpecOutput

func (AiTensorboardEncryptionSpecOutput) ToAiTensorboardEncryptionSpecOutputWithContext 

func (o AiTensorboardEncryptionSpecOutput) ToAiTensorboardEncryptionSpecOutputWithContext(ctx context.Context) AiTensorboardEncryptionSpecOutput

func (AiTensorboardEncryptionSpecOutput) ToAiTensorboardEncryptionSpecPtrOutput 

func (o AiTensorboardEncryptionSpecOutput) ToAiTensorboardEncryptionSpecPtrOutput() AiTensorboardEncryptionSpecPtrOutput

func (AiTensorboardEncryptionSpecOutput) ToAiTensorboardEncryptionSpecPtrOutputWithContext 

func (o AiTensorboardEncryptionSpecOutput) ToAiTensorboardEncryptionSpecPtrOutputWithContext(ctx context.Context) AiTensorboardEncryptionSpecPtrOutput

type AiTensorboardEncryptionSpecPtrInput 

type AiTensorboardEncryptionSpecPtrInput interface {
	pulumi.Input

	ToAiTensorboardEncryptionSpecPtrOutput() AiTensorboardEncryptionSpecPtrOutput
	ToAiTensorboardEncryptionSpecPtrOutputWithContext(context.Context) AiTensorboardEncryptionSpecPtrOutput
}

AiTensorboardEncryptionSpecPtrInput is an input type that accepts AiTensorboardEncryptionSpecArgs, AiTensorboardEncryptionSpecPtr and AiTensorboardEncryptionSpecPtrOutput values. You can construct a concrete instance of `AiTensorboardEncryptionSpecPtrInput` via: 

        AiTensorboardEncryptionSpecArgs{...}

or:

        nil

func AiTensorboardEncryptionSpecPtr 

func AiTensorboardEncryptionSpecPtr(v *AiTensorboardEncryptionSpecArgs) AiTensorboardEncryptionSpecPtrInput

type AiTensorboardEncryptionSpecPtrOutput 

type AiTensorboardEncryptionSpecPtrOutput struct{ *pulumi.OutputState }

func (AiTensorboardEncryptionSpecPtrOutput) Elem 

func (o AiTensorboardEncryptionSpecPtrOutput) Elem() AiTensorboardEncryptionSpecOutput

func (AiTensorboardEncryptionSpecPtrOutput) ElementType 

func (AiTensorboardEncryptionSpecPtrOutput) ElementType() reflect.Type

func (AiTensorboardEncryptionSpecPtrOutput) KmsKeyName 

func (o AiTensorboardEncryptionSpecPtrOutput) KmsKeyName() pulumi.StringPtrOutput

The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the resource is created.

func (AiTensorboardEncryptionSpecPtrOutput) ToAiTensorboardEncryptionSpecPtrOutput 

func (o AiTensorboardEncryptionSpecPtrOutput) ToAiTensorboardEncryptionSpecPtrOutput() AiTensorboardEncryptionSpecPtrOutput

func (AiTensorboardEncryptionSpecPtrOutput) ToAiTensorboardEncryptionSpecPtrOutputWithContext 

func (o AiTensorboardEncryptionSpecPtrOutput) ToAiTensorboardEncryptionSpecPtrOutputWithContext(ctx context.Context) AiTensorboardEncryptionSpecPtrOutput

type AiTensorboardInput 

type AiTensorboardInput interface {
	pulumi.Input

	ToAiTensorboardOutput() AiTensorboardOutput
	ToAiTensorboardOutputWithContext(ctx context.Context) AiTensorboardOutput
}

type AiTensorboardMap 

type AiTensorboardMap map[string]AiTensorboardInput

func (AiTensorboardMap) ElementType 

func (AiTensorboardMap) ElementType() reflect.Type

func (AiTensorboardMap) ToAiTensorboardMapOutput 

func (i AiTensorboardMap) ToAiTensorboardMapOutput() AiTensorboardMapOutput

func (AiTensorboardMap) ToAiTensorboardMapOutputWithContext 

func (i AiTensorboardMap) ToAiTensorboardMapOutputWithContext(ctx context.Context) AiTensorboardMapOutput

type AiTensorboardMapInput 

type AiTensorboardMapInput interface {
	pulumi.Input

	ToAiTensorboardMapOutput() AiTensorboardMapOutput
	ToAiTensorboardMapOutputWithContext(context.Context) AiTensorboardMapOutput
}

AiTensorboardMapInput is an input type that accepts AiTensorboardMap and AiTensorboardMapOutput values. You can construct a concrete instance of `AiTensorboardMapInput` via: 

AiTensorboardMap{ "key": AiTensorboardArgs{...} }

type AiTensorboardMapOutput 

type AiTensorboardMapOutput struct{ *pulumi.OutputState }

func (AiTensorboardMapOutput) ElementType 

func (AiTensorboardMapOutput) ElementType() reflect.Type

func (AiTensorboardMapOutput) MapIndex 

func (o AiTensorboardMapOutput) MapIndex(k pulumi.StringInput) AiTensorboardOutput

func (AiTensorboardMapOutput) ToAiTensorboardMapOutput 

func (o AiTensorboardMapOutput) ToAiTensorboardMapOutput() AiTensorboardMapOutput

func (AiTensorboardMapOutput) ToAiTensorboardMapOutputWithContext 

func (o AiTensorboardMapOutput) ToAiTensorboardMapOutputWithContext(ctx context.Context) AiTensorboardMapOutput

type AiTensorboardOutput 

type AiTensorboardOutput struct{ *pulumi.OutputState }

func (AiTensorboardOutput) BlobStoragePathPrefix 

func (o AiTensorboardOutput) BlobStoragePathPrefix() pulumi.StringOutput

Consumer project Cloud Storage path prefix used to store blob data, which can either be a bucket or directory. Does not end with a '/'.

func (AiTensorboardOutput) CreateTime 

func (o AiTensorboardOutput) CreateTime() pulumi.StringOutput

The timestamp of when the Tensorboard was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

func (AiTensorboardOutput) Description 

func (o AiTensorboardOutput) Description() pulumi.StringPtrOutput

Description of this Tensorboard.

func (AiTensorboardOutput) DisplayName 

func (o AiTensorboardOutput) DisplayName() pulumi.StringOutput

User provided name of this Tensorboard.

***

func (AiTensorboardOutput) EffectiveLabels 

func (o AiTensorboardOutput) EffectiveLabels() pulumi.StringMapOutput

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

func (AiTensorboardOutput) ElementType 

func (AiTensorboardOutput) ElementType() reflect.Type

func (AiTensorboardOutput) EncryptionSpec 

func (o AiTensorboardOutput) EncryptionSpec() AiTensorboardEncryptionSpecPtrOutput

Customer-managed encryption key spec for a Tensorboard. If set, this Tensorboard and all sub-resources of this Tensorboard will be secured by this key. Structure is documented below.

func (AiTensorboardOutput) Labels 

func (o AiTensorboardOutput) Labels() pulumi.StringMapOutput

The labels with user-defined metadata to organize your Tensorboards.

**Note**: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field `effectiveLabels` for all of the labels present on the resource.

func (AiTensorboardOutput) Name 

func (o AiTensorboardOutput) Name() pulumi.StringOutput

Name of the Tensorboard.

func (AiTensorboardOutput) Project 

func (o AiTensorboardOutput) Project() pulumi.StringOutput

The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

func (AiTensorboardOutput) PulumiLabels 

func (o AiTensorboardOutput) PulumiLabels() pulumi.StringMapOutput

The combination of labels configured directly on the resource and default labels configured on the provider.

func (AiTensorboardOutput) Region 

func (o AiTensorboardOutput) Region() pulumi.StringOutput

The region of the tensorboard. eg us-central1

func (AiTensorboardOutput) RunCount 

func (o AiTensorboardOutput) RunCount() pulumi.StringOutput

The number of Runs stored in this Tensorboard.

func (AiTensorboardOutput) ToAiTensorboardOutput 

func (o AiTensorboardOutput) ToAiTensorboardOutput() AiTensorboardOutput

func (AiTensorboardOutput) ToAiTensorboardOutputWithContext 

func (o AiTensorboardOutput) ToAiTensorboardOutputWithContext(ctx context.Context) AiTensorboardOutput

func (AiTensorboardOutput) UpdateTime 

func (o AiTensorboardOutput) UpdateTime() pulumi.StringOutput

The timestamp of when the Tensorboard was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

type AiTensorboardState 

type AiTensorboardState struct {
	// Consumer project Cloud Storage path prefix used to store blob data, which can either be a bucket or directory. Does not end with a '/'.
	BlobStoragePathPrefix pulumi.StringPtrInput
	// The timestamp of when the Tensorboard was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	CreateTime pulumi.StringPtrInput
	// Description of this Tensorboard.
	Description pulumi.StringPtrInput
	// User provided name of this Tensorboard.
	//
	// ***
	DisplayName pulumi.StringPtrInput
	// All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
	EffectiveLabels pulumi.StringMapInput
	// Customer-managed encryption key spec for a Tensorboard. If set, this Tensorboard and all sub-resources of this Tensorboard will be secured by this key.
	// Structure is documented below.
	EncryptionSpec AiTensorboardEncryptionSpecPtrInput
	// The labels with user-defined metadata to organize your Tensorboards.
	//
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field `effectiveLabels` for all of the labels present on the resource.
	Labels pulumi.StringMapInput
	// Name of the Tensorboard.
	Name pulumi.StringPtrInput
	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project pulumi.StringPtrInput
	// The combination of labels configured directly on the resource
	// and default labels configured on the provider.
	PulumiLabels pulumi.StringMapInput
	// The region of the tensorboard. eg us-central1
	Region pulumi.StringPtrInput
	// The number of Runs stored in this Tensorboard.
	RunCount pulumi.StringPtrInput
	// The timestamp of when the Tensorboard was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
	UpdateTime pulumi.StringPtrInput
}

func (AiTensorboardState) ElementType 

func (AiTensorboardState) ElementType() reflect.Type

type GetAiFeaturestoreEntitytypeIamPolicyArgs 

type GetAiFeaturestoreEntitytypeIamPolicyArgs struct {
	// Used to find the parent resource to bind the IAM policy to
	Entitytype string `pulumi:"entitytype"`
	// The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
	Featurestore string `pulumi:"featurestore"`
}

A collection of arguments for invoking getAiFeaturestoreEntitytypeIamPolicy.

type GetAiFeaturestoreEntitytypeIamPolicyOutputArgs 

type GetAiFeaturestoreEntitytypeIamPolicyOutputArgs struct {
	// Used to find the parent resource to bind the IAM policy to
	Entitytype pulumi.StringInput `pulumi:"entitytype"`
	// The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringInput `pulumi:"featurestore"`
}

A collection of arguments for invoking getAiFeaturestoreEntitytypeIamPolicy.

func (GetAiFeaturestoreEntitytypeIamPolicyOutputArgs) ElementType 

func (GetAiFeaturestoreEntitytypeIamPolicyOutputArgs) ElementType() reflect.Type

type GetAiFeaturestoreEntitytypeIamPolicyResult 

type GetAiFeaturestoreEntitytypeIamPolicyResult struct {
	Entitytype string `pulumi:"entitytype"`
	// (Computed) The etag of the IAM policy.
	Etag         string `pulumi:"etag"`
	Featurestore string `pulumi:"featurestore"`
	// The provider-assigned unique ID for this managed resource.
	Id string `pulumi:"id"`
	// (Required only by `vertex.AiFeatureStoreEntityTypeIamPolicy`) The policy data generated by
	// a `organizations.getIAMPolicy` data source.
	PolicyData string `pulumi:"policyData"`
}

A collection of values returned by getAiFeaturestoreEntitytypeIamPolicy.

func GetAiFeaturestoreEntitytypeIamPolicy 

func GetAiFeaturestoreEntitytypeIamPolicy(ctx *pulumi.Context, args *GetAiFeaturestoreEntitytypeIamPolicyArgs, opts ...pulumi.InvokeOption) (*GetAiFeaturestoreEntitytypeIamPolicyResult, error)

type GetAiFeaturestoreEntitytypeIamPolicyResultOutput 

type GetAiFeaturestoreEntitytypeIamPolicyResultOutput struct{ *pulumi.OutputState }

A collection of values returned by getAiFeaturestoreEntitytypeIamPolicy.

func GetAiFeaturestoreEntitytypeIamPolicyOutput 

func GetAiFeaturestoreEntitytypeIamPolicyOutput(ctx *pulumi.Context, args GetAiFeaturestoreEntitytypeIamPolicyOutputArgs, opts ...pulumi.InvokeOption) GetAiFeaturestoreEntitytypeIamPolicyResultOutput

func (GetAiFeaturestoreEntitytypeIamPolicyResultOutput) ElementType 

func (GetAiFeaturestoreEntitytypeIamPolicyResultOutput) ElementType() reflect.Type

func (GetAiFeaturestoreEntitytypeIamPolicyResultOutput) Entitytype 

func (o GetAiFeaturestoreEntitytypeIamPolicyResultOutput) Entitytype() pulumi.StringOutput

func (GetAiFeaturestoreEntitytypeIamPolicyResultOutput) Etag 

func (o GetAiFeaturestoreEntitytypeIamPolicyResultOutput) Etag() pulumi.StringOutput

(Computed) The etag of the IAM policy.

func (GetAiFeaturestoreEntitytypeIamPolicyResultOutput) Featurestore 

func (o GetAiFeaturestoreEntitytypeIamPolicyResultOutput) Featurestore() pulumi.StringOutput

func (GetAiFeaturestoreEntitytypeIamPolicyResultOutput) Id 

func (o GetAiFeaturestoreEntitytypeIamPolicyResultOutput) Id() pulumi.StringOutput

The provider-assigned unique ID for this managed resource.

func (GetAiFeaturestoreEntitytypeIamPolicyResultOutput) PolicyData 

func (o GetAiFeaturestoreEntitytypeIamPolicyResultOutput) PolicyData() pulumi.StringOutput

(Required only by `vertex.AiFeatureStoreEntityTypeIamPolicy`) The policy data generated by a `organizations.getIAMPolicy` data source.

func (GetAiFeaturestoreEntitytypeIamPolicyResultOutput) ToGetAiFeaturestoreEntitytypeIamPolicyResultOutput 

func (o GetAiFeaturestoreEntitytypeIamPolicyResultOutput) ToGetAiFeaturestoreEntitytypeIamPolicyResultOutput() GetAiFeaturestoreEntitytypeIamPolicyResultOutput

func (GetAiFeaturestoreEntitytypeIamPolicyResultOutput) ToGetAiFeaturestoreEntitytypeIamPolicyResultOutputWithContext 

func (o GetAiFeaturestoreEntitytypeIamPolicyResultOutput) ToGetAiFeaturestoreEntitytypeIamPolicyResultOutputWithContext(ctx context.Context) GetAiFeaturestoreEntitytypeIamPolicyResultOutput

type GetAiFeaturestoreIamPolicyArgs 

type GetAiFeaturestoreIamPolicyArgs struct {
	// Used to find the parent resource to bind the IAM policy to
	Featurestore string `pulumi:"featurestore"`
	// The ID of the project in which the resource belongs.
	// If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
	Project *string `pulumi:"project"`
	// The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified,
	// the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no
	// region is specified, it is taken from the provider configuration.
	Region *string `pulumi:"region"`
}

A collection of arguments for invoking getAiFeaturestoreIamPolicy.

type GetAiFeaturestoreIamPolicyOutputArgs 

type GetAiFeaturestoreIamPolicyOutputArgs struct {
	// Used to find the parent resource to bind the IAM policy to
	Featurestore pulumi.StringInput `pulumi:"featurestore"`
	// The ID of the project in which the resource belongs.
	// If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
	Project pulumi.StringPtrInput `pulumi:"project"`
	// The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified,
	// the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no
	// region is specified, it is taken from the provider configuration.
	Region pulumi.StringPtrInput `pulumi:"region"`
}

A collection of arguments for invoking getAiFeaturestoreIamPolicy.

func (GetAiFeaturestoreIamPolicyOutputArgs) ElementType 

func (GetAiFeaturestoreIamPolicyOutputArgs) ElementType() reflect.Type

type GetAiFeaturestoreIamPolicyResult 

type GetAiFeaturestoreIamPolicyResult struct {
	// (Computed) The etag of the IAM policy.
	Etag         string `pulumi:"etag"`
	Featurestore string `pulumi:"featurestore"`
	// The provider-assigned unique ID for this managed resource.
	Id string `pulumi:"id"`
	// (Required only by `vertex.AiFeatureStoreIamPolicy`) The policy data generated by
	// a `organizations.getIAMPolicy` data source.
	PolicyData string `pulumi:"policyData"`
	Project    string `pulumi:"project"`
	Region     string `pulumi:"region"`
}

A collection of values returned by getAiFeaturestoreIamPolicy.

func GetAiFeaturestoreIamPolicy 

func GetAiFeaturestoreIamPolicy(ctx *pulumi.Context, args *GetAiFeaturestoreIamPolicyArgs, opts ...pulumi.InvokeOption) (*GetAiFeaturestoreIamPolicyResult, error)

type GetAiFeaturestoreIamPolicyResultOutput 

type GetAiFeaturestoreIamPolicyResultOutput struct{ *pulumi.OutputState }

A collection of values returned by getAiFeaturestoreIamPolicy.

func GetAiFeaturestoreIamPolicyOutput 

func GetAiFeaturestoreIamPolicyOutput(ctx *pulumi.Context, args GetAiFeaturestoreIamPolicyOutputArgs, opts ...pulumi.InvokeOption) GetAiFeaturestoreIamPolicyResultOutput

func (GetAiFeaturestoreIamPolicyResultOutput) ElementType 

func (GetAiFeaturestoreIamPolicyResultOutput) ElementType() reflect.Type

func (GetAiFeaturestoreIamPolicyResultOutput) Etag 

func (o GetAiFeaturestoreIamPolicyResultOutput) Etag() pulumi.StringOutput

(Computed) The etag of the IAM policy.

func (GetAiFeaturestoreIamPolicyResultOutput) Featurestore 

func (o GetAiFeaturestoreIamPolicyResultOutput) Featurestore() pulumi.StringOutput

func (GetAiFeaturestoreIamPolicyResultOutput) Id 

func (o GetAiFeaturestoreIamPolicyResultOutput) Id() pulumi.StringOutput

The provider-assigned unique ID for this managed resource.

func (GetAiFeaturestoreIamPolicyResultOutput) PolicyData 

func (o GetAiFeaturestoreIamPolicyResultOutput) PolicyData() pulumi.StringOutput

(Required only by `vertex.AiFeatureStoreIamPolicy`) The policy data generated by a `organizations.getIAMPolicy` data source.

func (GetAiFeaturestoreIamPolicyResultOutput) Project 

func (o GetAiFeaturestoreIamPolicyResultOutput) Project() pulumi.StringOutput

func (GetAiFeaturestoreIamPolicyResultOutput) Region 

func (o GetAiFeaturestoreIamPolicyResultOutput) Region() pulumi.StringOutput

func (GetAiFeaturestoreIamPolicyResultOutput) ToGetAiFeaturestoreIamPolicyResultOutput 

func (o GetAiFeaturestoreIamPolicyResultOutput) ToGetAiFeaturestoreIamPolicyResultOutput() GetAiFeaturestoreIamPolicyResultOutput

func (GetAiFeaturestoreIamPolicyResultOutput) ToGetAiFeaturestoreIamPolicyResultOutputWithContext 

func (o GetAiFeaturestoreIamPolicyResultOutput) ToGetAiFeaturestoreIamPolicyResultOutputWithContext(ctx context.Context) GetAiFeaturestoreIamPolicyResultOutput

type GetAiIndexDeployedIndex 

type GetAiIndexDeployedIndex struct {
	// The ID of the DeployedIndex in the above IndexEndpoint.
	DeployedIndexId string `pulumi:"deployedIndexId"`
	// A resource name of the IndexEndpoint.
	IndexEndpoint string `pulumi:"indexEndpoint"`
}

type GetAiIndexDeployedIndexArgs 

type GetAiIndexDeployedIndexArgs struct {
	// The ID of the DeployedIndex in the above IndexEndpoint.
	DeployedIndexId pulumi.StringInput `pulumi:"deployedIndexId"`
	// A resource name of the IndexEndpoint.
	IndexEndpoint pulumi.StringInput `pulumi:"indexEndpoint"`
}

func (GetAiIndexDeployedIndexArgs) ElementType 

func (GetAiIndexDeployedIndexArgs) ElementType() reflect.Type

func (GetAiIndexDeployedIndexArgs) ToGetAiIndexDeployedIndexOutput 

func (i GetAiIndexDeployedIndexArgs) ToGetAiIndexDeployedIndexOutput() GetAiIndexDeployedIndexOutput

func (GetAiIndexDeployedIndexArgs) ToGetAiIndexDeployedIndexOutputWithContext 

func (i GetAiIndexDeployedIndexArgs) ToGetAiIndexDeployedIndexOutputWithContext(ctx context.Context) GetAiIndexDeployedIndexOutput

type GetAiIndexDeployedIndexArray 

type GetAiIndexDeployedIndexArray []GetAiIndexDeployedIndexInput

func (GetAiIndexDeployedIndexArray) ElementType 

func (GetAiIndexDeployedIndexArray) ElementType() reflect.Type

func (GetAiIndexDeployedIndexArray) ToGetAiIndexDeployedIndexArrayOutput 

func (i GetAiIndexDeployedIndexArray) ToGetAiIndexDeployedIndexArrayOutput() GetAiIndexDeployedIndexArrayOutput

func (GetAiIndexDeployedIndexArray) ToGetAiIndexDeployedIndexArrayOutputWithContext 

func (i GetAiIndexDeployedIndexArray) ToGetAiIndexDeployedIndexArrayOutputWithContext(ctx context.Context) GetAiIndexDeployedIndexArrayOutput

type GetAiIndexDeployedIndexArrayInput 

type GetAiIndexDeployedIndexArrayInput interface {
	pulumi.Input

	ToGetAiIndexDeployedIndexArrayOutput() GetAiIndexDeployedIndexArrayOutput
	ToGetAiIndexDeployedIndexArrayOutputWithContext(context.Context) GetAiIndexDeployedIndexArrayOutput
}

GetAiIndexDeployedIndexArrayInput is an input type that accepts GetAiIndexDeployedIndexArray and GetAiIndexDeployedIndexArrayOutput values. You can construct a concrete instance of `GetAiIndexDeployedIndexArrayInput` via: 

GetAiIndexDeployedIndexArray{ GetAiIndexDeployedIndexArgs{...} }

type GetAiIndexDeployedIndexArrayOutput 

type GetAiIndexDeployedIndexArrayOutput struct{ *pulumi.OutputState }

func (GetAiIndexDeployedIndexArrayOutput) ElementType 

func (GetAiIndexDeployedIndexArrayOutput) ElementType() reflect.Type

func (GetAiIndexDeployedIndexArrayOutput) Index 

func (o GetAiIndexDeployedIndexArrayOutput) Index(i pulumi.IntInput) GetAiIndexDeployedIndexOutput

func (GetAiIndexDeployedIndexArrayOutput) ToGetAiIndexDeployedIndexArrayOutput 

func (o GetAiIndexDeployedIndexArrayOutput) ToGetAiIndexDeployedIndexArrayOutput() GetAiIndexDeployedIndexArrayOutput

func (GetAiIndexDeployedIndexArrayOutput) ToGetAiIndexDeployedIndexArrayOutputWithContext 

func (o GetAiIndexDeployedIndexArrayOutput) ToGetAiIndexDeployedIndexArrayOutputWithContext(ctx context.Context) GetAiIndexDeployedIndexArrayOutput

type GetAiIndexDeployedIndexInput 

type GetAiIndexDeployedIndexInput interface {
	pulumi.Input

	ToGetAiIndexDeployedIndexOutput() GetAiIndexDeployedIndexOutput
	ToGetAiIndexDeployedIndexOutputWithContext(context.Context) GetAiIndexDeployedIndexOutput
}

GetAiIndexDeployedIndexInput is an input type that accepts GetAiIndexDeployedIndexArgs and GetAiIndexDeployedIndexOutput values. You can construct a concrete instance of `GetAiIndexDeployedIndexInput` via: 

GetAiIndexDeployedIndexArgs{...}

type GetAiIndexDeployedIndexOutput 

type GetAiIndexDeployedIndexOutput struct{ *pulumi.OutputState }

func (GetAiIndexDeployedIndexOutput) DeployedIndexId 

func (o GetAiIndexDeployedIndexOutput) DeployedIndexId() pulumi.StringOutput

The ID of the DeployedIndex in the above IndexEndpoint.

func (GetAiIndexDeployedIndexOutput) ElementType 

func (GetAiIndexDeployedIndexOutput) ElementType() reflect.Type

func (GetAiIndexDeployedIndexOutput) IndexEndpoint 

func (o GetAiIndexDeployedIndexOutput) IndexEndpoint() pulumi.StringOutput

A resource name of the IndexEndpoint.

func (GetAiIndexDeployedIndexOutput) ToGetAiIndexDeployedIndexOutput 

func (o GetAiIndexDeployedIndexOutput) ToGetAiIndexDeployedIndexOutput() GetAiIndexDeployedIndexOutput

func (GetAiIndexDeployedIndexOutput) ToGetAiIndexDeployedIndexOutputWithContext 

func (o GetAiIndexDeployedIndexOutput) ToGetAiIndexDeployedIndexOutputWithContext(ctx context.Context) GetAiIndexDeployedIndexOutput

type GetAiIndexIndexStat 

type GetAiIndexIndexStat struct {
	// The number of shards in the Index.
	ShardsCount int `pulumi:"shardsCount"`
	// The number of vectors in the Index.
	VectorsCount string `pulumi:"vectorsCount"`
}

type GetAiIndexIndexStatArgs 

type GetAiIndexIndexStatArgs struct {
	// The number of shards in the Index.
	ShardsCount pulumi.IntInput `pulumi:"shardsCount"`
	// The number of vectors in the Index.
	VectorsCount pulumi.StringInput `pulumi:"vectorsCount"`
}

func (GetAiIndexIndexStatArgs) ElementType 

func (GetAiIndexIndexStatArgs) ElementType() reflect.Type

func (GetAiIndexIndexStatArgs) ToGetAiIndexIndexStatOutput 

func (i GetAiIndexIndexStatArgs) ToGetAiIndexIndexStatOutput() GetAiIndexIndexStatOutput

func (GetAiIndexIndexStatArgs) ToGetAiIndexIndexStatOutputWithContext 

func (i GetAiIndexIndexStatArgs) ToGetAiIndexIndexStatOutputWithContext(ctx context.Context) GetAiIndexIndexStatOutput

type GetAiIndexIndexStatArray 

type GetAiIndexIndexStatArray []GetAiIndexIndexStatInput

func (GetAiIndexIndexStatArray) ElementType 

func (GetAiIndexIndexStatArray) ElementType() reflect.Type

func (GetAiIndexIndexStatArray) ToGetAiIndexIndexStatArrayOutput 

func (i GetAiIndexIndexStatArray) ToGetAiIndexIndexStatArrayOutput() GetAiIndexIndexStatArrayOutput

func (GetAiIndexIndexStatArray) ToGetAiIndexIndexStatArrayOutputWithContext 

func (i GetAiIndexIndexStatArray) ToGetAiIndexIndexStatArrayOutputWithContext(ctx context.Context) GetAiIndexIndexStatArrayOutput

type GetAiIndexIndexStatArrayInput 

type GetAiIndexIndexStatArrayInput interface {
	pulumi.Input

	ToGetAiIndexIndexStatArrayOutput() GetAiIndexIndexStatArrayOutput
	ToGetAiIndexIndexStatArrayOutputWithContext(context.Context) GetAiIndexIndexStatArrayOutput
}

GetAiIndexIndexStatArrayInput is an input type that accepts GetAiIndexIndexStatArray and GetAiIndexIndexStatArrayOutput values. You can construct a concrete instance of `GetAiIndexIndexStatArrayInput` via: 

GetAiIndexIndexStatArray{ GetAiIndexIndexStatArgs{...} }

type GetAiIndexIndexStatArrayOutput 

type GetAiIndexIndexStatArrayOutput struct{ *pulumi.OutputState }

func (GetAiIndexIndexStatArrayOutput) ElementType 

func (GetAiIndexIndexStatArrayOutput) ElementType() reflect.Type

func (GetAiIndexIndexStatArrayOutput) Index 

func (o GetAiIndexIndexStatArrayOutput) Index(i pulumi.IntInput) GetAiIndexIndexStatOutput

func (GetAiIndexIndexStatArrayOutput) ToGetAiIndexIndexStatArrayOutput 

func (o GetAiIndexIndexStatArrayOutput) ToGetAiIndexIndexStatArrayOutput() GetAiIndexIndexStatArrayOutput

func (GetAiIndexIndexStatArrayOutput) ToGetAiIndexIndexStatArrayOutputWithContext 

func (o GetAiIndexIndexStatArrayOutput) ToGetAiIndexIndexStatArrayOutputWithContext(ctx context.Context) GetAiIndexIndexStatArrayOutput

type GetAiIndexIndexStatInput 

type GetAiIndexIndexStatInput interface {
	pulumi.Input

	ToGetAiIndexIndexStatOutput() GetAiIndexIndexStatOutput
	ToGetAiIndexIndexStatOutputWithContext(context.Context) GetAiIndexIndexStatOutput
}

GetAiIndexIndexStatInput is an input type that accepts GetAiIndexIndexStatArgs and GetAiIndexIndexStatOutput values. You can construct a concrete instance of `GetAiIndexIndexStatInput` via: 

GetAiIndexIndexStatArgs{...}

type GetAiIndexIndexStatOutput 

type GetAiIndexIndexStatOutput struct{ *pulumi.OutputState }

func (GetAiIndexIndexStatOutput) ElementType 

func (GetAiIndexIndexStatOutput) ElementType() reflect.Type

func (GetAiIndexIndexStatOutput) ShardsCount 

func (o GetAiIndexIndexStatOutput) ShardsCount() pulumi.IntOutput

The number of shards in the Index.

func (GetAiIndexIndexStatOutput) ToGetAiIndexIndexStatOutput 

func (o GetAiIndexIndexStatOutput) ToGetAiIndexIndexStatOutput() GetAiIndexIndexStatOutput

func (GetAiIndexIndexStatOutput) ToGetAiIndexIndexStatOutputWithContext 

func (o GetAiIndexIndexStatOutput) ToGetAiIndexIndexStatOutputWithContext(ctx context.Context) GetAiIndexIndexStatOutput

func (GetAiIndexIndexStatOutput) VectorsCount 

func (o GetAiIndexIndexStatOutput) VectorsCount() pulumi.StringOutput

The number of vectors in the Index.

type GetAiIndexMetadata 

type GetAiIndexMetadata struct {
	// The configuration of the Matching Engine Index.
	Configs []GetAiIndexMetadataConfig `pulumi:"configs"`
	// Allows inserting, updating  or deleting the contents of the Matching Engine Index.
	// The string must be a valid Cloud Storage directory path. If this
	// field is set when calling IndexService.UpdateIndex, then no other
	// Index field can be also updated as part of the same call.
	// The expected structure and format of the files this URI points to is
	// described at https://cloud.google.com/vertex-ai/docs/matching-engine/using-matching-engine#input-data-format
	ContentsDeltaUri string `pulumi:"contentsDeltaUri"`
	// If this field is set together with contentsDeltaUri when calling IndexService.UpdateIndex,
	// then existing content of the Index will be replaced by the data from the contentsDeltaUri.
	IsCompleteOverwrite bool `pulumi:"isCompleteOverwrite"`
}

type GetAiIndexMetadataArgs 

type GetAiIndexMetadataArgs struct {
	// The configuration of the Matching Engine Index.
	Configs GetAiIndexMetadataConfigArrayInput `pulumi:"configs"`
	// Allows inserting, updating  or deleting the contents of the Matching Engine Index.
	// The string must be a valid Cloud Storage directory path. If this
	// field is set when calling IndexService.UpdateIndex, then no other
	// Index field can be also updated as part of the same call.
	// The expected structure and format of the files this URI points to is
	// described at https://cloud.google.com/vertex-ai/docs/matching-engine/using-matching-engine#input-data-format
	ContentsDeltaUri pulumi.StringInput `pulumi:"contentsDeltaUri"`
	// If this field is set together with contentsDeltaUri when calling IndexService.UpdateIndex,
	// then existing content of the Index will be replaced by the data from the contentsDeltaUri.
	IsCompleteOverwrite pulumi.BoolInput `pulumi:"isCompleteOverwrite"`
}

func (GetAiIndexMetadataArgs) ElementType 

func (GetAiIndexMetadataArgs) ElementType() reflect.Type

func (GetAiIndexMetadataArgs) ToGetAiIndexMetadataOutput 

func (i GetAiIndexMetadataArgs) ToGetAiIndexMetadataOutput() GetAiIndexMetadataOutput

func (GetAiIndexMetadataArgs) ToGetAiIndexMetadataOutputWithContext 

func (i GetAiIndexMetadataArgs) ToGetAiIndexMetadataOutputWithContext(ctx context.Context) GetAiIndexMetadataOutput

type GetAiIndexMetadataArray 

type GetAiIndexMetadataArray []GetAiIndexMetadataInput

func (GetAiIndexMetadataArray) ElementType 

func (GetAiIndexMetadataArray) ElementType() reflect.Type

func (GetAiIndexMetadataArray) ToGetAiIndexMetadataArrayOutput 

func (i GetAiIndexMetadataArray) ToGetAiIndexMetadataArrayOutput() GetAiIndexMetadataArrayOutput

func (GetAiIndexMetadataArray) ToGetAiIndexMetadataArrayOutputWithContext 

func (i GetAiIndexMetadataArray) ToGetAiIndexMetadataArrayOutputWithContext(ctx context.Context) GetAiIndexMetadataArrayOutput

type GetAiIndexMetadataArrayInput 

type GetAiIndexMetadataArrayInput interface {
	pulumi.Input

	ToGetAiIndexMetadataArrayOutput() GetAiIndexMetadataArrayOutput
	ToGetAiIndexMetadataArrayOutputWithContext(context.Context) GetAiIndexMetadataArrayOutput
}

GetAiIndexMetadataArrayInput is an input type that accepts GetAiIndexMetadataArray and GetAiIndexMetadataArrayOutput values. You can construct a concrete instance of `GetAiIndexMetadataArrayInput` via: 

GetAiIndexMetadataArray{ GetAiIndexMetadataArgs{...} }

type GetAiIndexMetadataArrayOutput 

type GetAiIndexMetadataArrayOutput struct{ *pulumi.OutputState }

func (GetAiIndexMetadataArrayOutput) ElementType 

func (GetAiIndexMetadataArrayOutput) ElementType() reflect.Type

func (GetAiIndexMetadataArrayOutput) Index 

func (o GetAiIndexMetadataArrayOutput) Index(i pulumi.IntInput) GetAiIndexMetadataOutput

func (GetAiIndexMetadataArrayOutput) ToGetAiIndexMetadataArrayOutput 

func (o GetAiIndexMetadataArrayOutput) ToGetAiIndexMetadataArrayOutput() GetAiIndexMetadataArrayOutput

func (GetAiIndexMetadataArrayOutput) ToGetAiIndexMetadataArrayOutputWithContext 

func (o GetAiIndexMetadataArrayOutput) ToGetAiIndexMetadataArrayOutputWithContext(ctx context.Context) GetAiIndexMetadataArrayOutput

type GetAiIndexMetadataConfig 

type GetAiIndexMetadataConfig struct {
	// The configuration with regard to the algorithms used for efficient search.
	AlgorithmConfigs []GetAiIndexMetadataConfigAlgorithmConfig `pulumi:"algorithmConfigs"`
	// The default number of neighbors to find via approximate search before exact reordering is
	// performed. Exact reordering is a procedure where results returned by an
	// approximate search algorithm are reordered via a more expensive distance computation.
	// Required if tree-AH algorithm is used.
	ApproximateNeighborsCount int `pulumi:"approximateNeighborsCount"`
	// The number of dimensions of the input vectors.
	Dimensions int `pulumi:"dimensions"`
	// The distance measure used in nearest neighbor search. The value must be one of the followings:
	// * SQUARED_L2_DISTANCE: Euclidean (L_2) Distance
	// * L1_DISTANCE: Manhattan (L_1) Distance
	// * COSINE_DISTANCE: Cosine Distance. Defined as 1 - cosine similarity.
	// * DOT_PRODUCT_DISTANCE: Dot Product Distance. Defined as a negative of the dot product
	DistanceMeasureType string `pulumi:"distanceMeasureType"`
	// Type of normalization to be carried out on each vector. The value must be one of the followings:
	// * UNIT_L2_NORM: Unit L2 normalization type
	// * NONE: No normalization type is specified.
	FeatureNormType string `pulumi:"featureNormType"`
	// Index data is split into equal parts to be processed. These are called "shards".
	// The shard size must be specified when creating an index. The value must be one of the followings:
	// * SHARD_SIZE_SMALL: Small (2GB)
	// * SHARD_SIZE_MEDIUM: Medium (20GB)
	// * SHARD_SIZE_LARGE: Large (50GB)
	ShardSize string `pulumi:"shardSize"`
}

type GetAiIndexMetadataConfigAlgorithmConfig 

type GetAiIndexMetadataConfigAlgorithmConfig struct {
	// Configuration options for using brute force search, which simply implements the
	// standard linear search in the database for each query.
	BruteForceConfigs []GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfig `pulumi:"bruteForceConfigs"`
	// Configuration options for using the tree-AH algorithm (Shallow tree + Asymmetric Hashing).
	// Please refer to this paper for more details: https://arxiv.org/abs/1908.10396
	TreeAhConfigs []GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfig `pulumi:"treeAhConfigs"`
}

type GetAiIndexMetadataConfigAlgorithmConfigArgs 

type GetAiIndexMetadataConfigAlgorithmConfigArgs struct {
	// Configuration options for using brute force search, which simply implements the
	// standard linear search in the database for each query.
	BruteForceConfigs GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayInput `pulumi:"bruteForceConfigs"`
	// Configuration options for using the tree-AH algorithm (Shallow tree + Asymmetric Hashing).
	// Please refer to this paper for more details: https://arxiv.org/abs/1908.10396
	TreeAhConfigs GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayInput `pulumi:"treeAhConfigs"`
}

func (GetAiIndexMetadataConfigAlgorithmConfigArgs) ElementType 

func (GetAiIndexMetadataConfigAlgorithmConfigArgs) ElementType() reflect.Type

func (GetAiIndexMetadataConfigAlgorithmConfigArgs) ToGetAiIndexMetadataConfigAlgorithmConfigOutput 

func (i GetAiIndexMetadataConfigAlgorithmConfigArgs) ToGetAiIndexMetadataConfigAlgorithmConfigOutput() GetAiIndexMetadataConfigAlgorithmConfigOutput

func (GetAiIndexMetadataConfigAlgorithmConfigArgs) ToGetAiIndexMetadataConfigAlgorithmConfigOutputWithContext 

func (i GetAiIndexMetadataConfigAlgorithmConfigArgs) ToGetAiIndexMetadataConfigAlgorithmConfigOutputWithContext(ctx context.Context) GetAiIndexMetadataConfigAlgorithmConfigOutput

type GetAiIndexMetadataConfigAlgorithmConfigArray 

type GetAiIndexMetadataConfigAlgorithmConfigArray []GetAiIndexMetadataConfigAlgorithmConfigInput

func (GetAiIndexMetadataConfigAlgorithmConfigArray) ElementType 

func (GetAiIndexMetadataConfigAlgorithmConfigArray) ElementType() reflect.Type

func (GetAiIndexMetadataConfigAlgorithmConfigArray) ToGetAiIndexMetadataConfigAlgorithmConfigArrayOutput 

func (i GetAiIndexMetadataConfigAlgorithmConfigArray) ToGetAiIndexMetadataConfigAlgorithmConfigArrayOutput() GetAiIndexMetadataConfigAlgorithmConfigArrayOutput

func (GetAiIndexMetadataConfigAlgorithmConfigArray) ToGetAiIndexMetadataConfigAlgorithmConfigArrayOutputWithContext 

func (i GetAiIndexMetadataConfigAlgorithmConfigArray) ToGetAiIndexMetadataConfigAlgorithmConfigArrayOutputWithContext(ctx context.Context) GetAiIndexMetadataConfigAlgorithmConfigArrayOutput

type GetAiIndexMetadataConfigAlgorithmConfigArrayInput 

type GetAiIndexMetadataConfigAlgorithmConfigArrayInput interface {
	pulumi.Input

	ToGetAiIndexMetadataConfigAlgorithmConfigArrayOutput() GetAiIndexMetadataConfigAlgorithmConfigArrayOutput
	ToGetAiIndexMetadataConfigAlgorithmConfigArrayOutputWithContext(context.Context) GetAiIndexMetadataConfigAlgorithmConfigArrayOutput
}

GetAiIndexMetadataConfigAlgorithmConfigArrayInput is an input type that accepts GetAiIndexMetadataConfigAlgorithmConfigArray and GetAiIndexMetadataConfigAlgorithmConfigArrayOutput values. You can construct a concrete instance of `GetAiIndexMetadataConfigAlgorithmConfigArrayInput` via: 

GetAiIndexMetadataConfigAlgorithmConfigArray{ GetAiIndexMetadataConfigAlgorithmConfigArgs{...} }

type GetAiIndexMetadataConfigAlgorithmConfigArrayOutput 

type GetAiIndexMetadataConfigAlgorithmConfigArrayOutput struct{ *pulumi.OutputState }

func (GetAiIndexMetadataConfigAlgorithmConfigArrayOutput) ElementType 

func (GetAiIndexMetadataConfigAlgorithmConfigArrayOutput) ElementType() reflect.Type

func (GetAiIndexMetadataConfigAlgorithmConfigArrayOutput) Index 

func (o GetAiIndexMetadataConfigAlgorithmConfigArrayOutput) Index(i pulumi.IntInput) GetAiIndexMetadataConfigAlgorithmConfigOutput

func (GetAiIndexMetadataConfigAlgorithmConfigArrayOutput) ToGetAiIndexMetadataConfigAlgorithmConfigArrayOutput 

func (o GetAiIndexMetadataConfigAlgorithmConfigArrayOutput) ToGetAiIndexMetadataConfigAlgorithmConfigArrayOutput() GetAiIndexMetadataConfigAlgorithmConfigArrayOutput

func (GetAiIndexMetadataConfigAlgorithmConfigArrayOutput) ToGetAiIndexMetadataConfigAlgorithmConfigArrayOutputWithContext 

func (o GetAiIndexMetadataConfigAlgorithmConfigArrayOutput) ToGetAiIndexMetadataConfigAlgorithmConfigArrayOutputWithContext(ctx context.Context) GetAiIndexMetadataConfigAlgorithmConfigArrayOutput

type GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfig 

type GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfig struct {
}

type GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs 

type GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs struct {
}

func (GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs) ElementType 

func (GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs) ElementType() reflect.Type

func (GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs) ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput 

func (i GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs) ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput() GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput

func (GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs) ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutputWithContext 

func (i GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs) ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutputWithContext(ctx context.Context) GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput

type GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArray 

type GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArray []GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigInput

func (GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArray) ElementType 

func (GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArray) ElementType() reflect.Type

func (GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArray) ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput 

func (i GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArray) ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput() GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput

func (GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArray) ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutputWithContext 

func (i GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArray) ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutputWithContext(ctx context.Context) GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput

type GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayInput 

type GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayInput interface {
	pulumi.Input

	ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput() GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput
	ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutputWithContext(context.Context) GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput
}

GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayInput is an input type that accepts GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArray and GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput values. You can construct a concrete instance of `GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayInput` via: 

GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArray{ GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs{...} }

type GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput 

type GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput struct{ *pulumi.OutputState }

func (GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput) ElementType 

func (GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput) ElementType() reflect.Type

func (GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput) Index 

func (o GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput) Index(i pulumi.IntInput) GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput

func (GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput) ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput 

func (o GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput) ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput() GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput

func (GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput) ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutputWithContext 

func (o GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput) ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutputWithContext(ctx context.Context) GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput

type GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigInput 

type GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigInput interface {
	pulumi.Input

	ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput() GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput
	ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutputWithContext(context.Context) GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput
}

GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigInput is an input type that accepts GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs and GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput values. You can construct a concrete instance of `GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigInput` via: 

GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArgs{...}

type GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput 

type GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput struct{ *pulumi.OutputState }

func (GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput) ElementType 

func (GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput) ElementType() reflect.Type

func (GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput) ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput 

func (o GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput) ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput() GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput

func (GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput) ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutputWithContext 

func (o GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput) ToGetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutputWithContext(ctx context.Context) GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigOutput

type GetAiIndexMetadataConfigAlgorithmConfigInput 

type GetAiIndexMetadataConfigAlgorithmConfigInput interface {
	pulumi.Input

	ToGetAiIndexMetadataConfigAlgorithmConfigOutput() GetAiIndexMetadataConfigAlgorithmConfigOutput
	ToGetAiIndexMetadataConfigAlgorithmConfigOutputWithContext(context.Context) GetAiIndexMetadataConfigAlgorithmConfigOutput
}

GetAiIndexMetadataConfigAlgorithmConfigInput is an input type that accepts GetAiIndexMetadataConfigAlgorithmConfigArgs and GetAiIndexMetadataConfigAlgorithmConfigOutput values. You can construct a concrete instance of `GetAiIndexMetadataConfigAlgorithmConfigInput` via: 

GetAiIndexMetadataConfigAlgorithmConfigArgs{...}

type GetAiIndexMetadataConfigAlgorithmConfigOutput 

type GetAiIndexMetadataConfigAlgorithmConfigOutput struct{ *pulumi.OutputState }

func (GetAiIndexMetadataConfigAlgorithmConfigOutput) BruteForceConfigs 

func (o GetAiIndexMetadataConfigAlgorithmConfigOutput) BruteForceConfigs() GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayOutput

Configuration options for using brute force search, which simply implements the standard linear search in the database for each query.

func (GetAiIndexMetadataConfigAlgorithmConfigOutput) ElementType 

func (GetAiIndexMetadataConfigAlgorithmConfigOutput) ElementType() reflect.Type

func (GetAiIndexMetadataConfigAlgorithmConfigOutput) ToGetAiIndexMetadataConfigAlgorithmConfigOutput 

func (o GetAiIndexMetadataConfigAlgorithmConfigOutput) ToGetAiIndexMetadataConfigAlgorithmConfigOutput() GetAiIndexMetadataConfigAlgorithmConfigOutput

func (GetAiIndexMetadataConfigAlgorithmConfigOutput) ToGetAiIndexMetadataConfigAlgorithmConfigOutputWithContext 

func (o GetAiIndexMetadataConfigAlgorithmConfigOutput) ToGetAiIndexMetadataConfigAlgorithmConfigOutputWithContext(ctx context.Context) GetAiIndexMetadataConfigAlgorithmConfigOutput

func (GetAiIndexMetadataConfigAlgorithmConfigOutput) TreeAhConfigs 

func (o GetAiIndexMetadataConfigAlgorithmConfigOutput) TreeAhConfigs() GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput

Configuration options for using the tree-AH algorithm (Shallow tree + Asymmetric Hashing). Please refer to this paper for more details: https://arxiv.org/abs/1908.10396

type GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfig 

type GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfig struct {
	// Number of embeddings on each leaf node. The default value is 1000 if not set.
	LeafNodeEmbeddingCount int `pulumi:"leafNodeEmbeddingCount"`
	// The default percentage of leaf nodes that any query may be searched. Must be in
	// range 1-100, inclusive. The default value is 10 (means 10%) if not set.
	LeafNodesToSearchPercent int `pulumi:"leafNodesToSearchPercent"`
}

type GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs 

type GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs struct {
	// Number of embeddings on each leaf node. The default value is 1000 if not set.
	LeafNodeEmbeddingCount pulumi.IntInput `pulumi:"leafNodeEmbeddingCount"`
	// The default percentage of leaf nodes that any query may be searched. Must be in
	// range 1-100, inclusive. The default value is 10 (means 10%) if not set.
	LeafNodesToSearchPercent pulumi.IntInput `pulumi:"leafNodesToSearchPercent"`
}

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs) ElementType 

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs) ElementType() reflect.Type

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput 

func (i GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput() GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutputWithContext 

func (i GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutputWithContext(ctx context.Context) GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput

type GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArray 

type GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArray []GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigInput

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArray) ElementType 

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArray) ElementType() reflect.Type

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArray) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput 

func (i GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArray) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput() GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArray) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutputWithContext 

func (i GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArray) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutputWithContext(ctx context.Context) GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput

type GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayInput 

type GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayInput interface {
	pulumi.Input

	ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput() GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput
	ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutputWithContext(context.Context) GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput
}

GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayInput is an input type that accepts GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArray and GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput values. You can construct a concrete instance of `GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayInput` via: 

GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArray{ GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs{...} }

type GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput 

type GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput struct{ *pulumi.OutputState }

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput) ElementType 

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput) ElementType() reflect.Type

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput) Index 

func (o GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput) Index(i pulumi.IntInput) GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput 

func (o GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput() GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutputWithContext 

func (o GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutputWithContext(ctx context.Context) GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArrayOutput

type GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigInput 

type GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigInput interface {
	pulumi.Input

	ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput() GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput
	ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutputWithContext(context.Context) GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput
}

GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigInput is an input type that accepts GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs and GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput values. You can construct a concrete instance of `GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigInput` via: 

GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs{...}

type GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput 

type GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput struct{ *pulumi.OutputState }

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ElementType 

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ElementType() reflect.Type

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) LeafNodeEmbeddingCount 

func (o GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) LeafNodeEmbeddingCount() pulumi.IntOutput

Number of embeddings on each leaf node. The default value is 1000 if not set.

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) LeafNodesToSearchPercent 

func (o GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) LeafNodesToSearchPercent() pulumi.IntOutput

The default percentage of leaf nodes that any query may be searched. Must be in range 1-100, inclusive. The default value is 10 (means 10%) if not set.

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput 

func (o GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput() GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutputWithContext 

func (o GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutputWithContext(ctx context.Context) GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput

type GetAiIndexMetadataConfigArgs 

type GetAiIndexMetadataConfigArgs struct {
	// The configuration with regard to the algorithms used for efficient search.
	AlgorithmConfigs GetAiIndexMetadataConfigAlgorithmConfigArrayInput `pulumi:"algorithmConfigs"`
	// The default number of neighbors to find via approximate search before exact reordering is
	// performed. Exact reordering is a procedure where results returned by an
	// approximate search algorithm are reordered via a more expensive distance computation.
	// Required if tree-AH algorithm is used.
	ApproximateNeighborsCount pulumi.IntInput `pulumi:"approximateNeighborsCount"`
	// The number of dimensions of the input vectors.
	Dimensions pulumi.IntInput `pulumi:"dimensions"`
	// The distance measure used in nearest neighbor search. The value must be one of the followings:
	// * SQUARED_L2_DISTANCE: Euclidean (L_2) Distance
	// * L1_DISTANCE: Manhattan (L_1) Distance
	// * COSINE_DISTANCE: Cosine Distance. Defined as 1 - cosine similarity.
	// * DOT_PRODUCT_DISTANCE: Dot Product Distance. Defined as a negative of the dot product
	DistanceMeasureType pulumi.StringInput `pulumi:"distanceMeasureType"`
	// Type of normalization to be carried out on each vector. The value must be one of the followings:
	// * UNIT_L2_NORM: Unit L2 normalization type
	// * NONE: No normalization type is specified.
	FeatureNormType pulumi.StringInput `pulumi:"featureNormType"`
	// Index data is split into equal parts to be processed. These are called "shards".
	// The shard size must be specified when creating an index. The value must be one of the followings:
	// * SHARD_SIZE_SMALL: Small (2GB)
	// * SHARD_SIZE_MEDIUM: Medium (20GB)
	// * SHARD_SIZE_LARGE: Large (50GB)
	ShardSize pulumi.StringInput `pulumi:"shardSize"`
}

func (GetAiIndexMetadataConfigArgs) ElementType 

func (GetAiIndexMetadataConfigArgs) ElementType() reflect.Type

func (GetAiIndexMetadataConfigArgs) ToGetAiIndexMetadataConfigOutput 

func (i GetAiIndexMetadataConfigArgs) ToGetAiIndexMetadataConfigOutput() GetAiIndexMetadataConfigOutput

func (GetAiIndexMetadataConfigArgs) ToGetAiIndexMetadataConfigOutputWithContext 

func (i GetAiIndexMetadataConfigArgs) ToGetAiIndexMetadataConfigOutputWithContext(ctx context.Context) GetAiIndexMetadataConfigOutput

type GetAiIndexMetadataConfigArray 

type GetAiIndexMetadataConfigArray []GetAiIndexMetadataConfigInput

func (GetAiIndexMetadataConfigArray) ElementType 

func (GetAiIndexMetadataConfigArray) ElementType() reflect.Type

func (GetAiIndexMetadataConfigArray) ToGetAiIndexMetadataConfigArrayOutput 

func (i GetAiIndexMetadataConfigArray) ToGetAiIndexMetadataConfigArrayOutput() GetAiIndexMetadataConfigArrayOutput

func (GetAiIndexMetadataConfigArray) ToGetAiIndexMetadataConfigArrayOutputWithContext 

func (i GetAiIndexMetadataConfigArray) ToGetAiIndexMetadataConfigArrayOutputWithContext(ctx context.Context) GetAiIndexMetadataConfigArrayOutput

type GetAiIndexMetadataConfigArrayInput 

type GetAiIndexMetadataConfigArrayInput interface {
	pulumi.Input

	ToGetAiIndexMetadataConfigArrayOutput() GetAiIndexMetadataConfigArrayOutput
	ToGetAiIndexMetadataConfigArrayOutputWithContext(context.Context) GetAiIndexMetadataConfigArrayOutput
}

GetAiIndexMetadataConfigArrayInput is an input type that accepts GetAiIndexMetadataConfigArray and GetAiIndexMetadataConfigArrayOutput values. You can construct a concrete instance of `GetAiIndexMetadataConfigArrayInput` via: 

GetAiIndexMetadataConfigArray{ GetAiIndexMetadataConfigArgs{...} }

type GetAiIndexMetadataConfigArrayOutput 

type GetAiIndexMetadataConfigArrayOutput struct{ *pulumi.OutputState }

func (GetAiIndexMetadataConfigArrayOutput) ElementType 

func (GetAiIndexMetadataConfigArrayOutput) ElementType() reflect.Type

func (GetAiIndexMetadataConfigArrayOutput) Index 

func (o GetAiIndexMetadataConfigArrayOutput) Index(i pulumi.IntInput) GetAiIndexMetadataConfigOutput

func (GetAiIndexMetadataConfigArrayOutput) ToGetAiIndexMetadataConfigArrayOutput 

func (o GetAiIndexMetadataConfigArrayOutput) ToGetAiIndexMetadataConfigArrayOutput() GetAiIndexMetadataConfigArrayOutput

func (GetAiIndexMetadataConfigArrayOutput) ToGetAiIndexMetadataConfigArrayOutputWithContext 

func (o GetAiIndexMetadataConfigArrayOutput) ToGetAiIndexMetadataConfigArrayOutputWithContext(ctx context.Context) GetAiIndexMetadataConfigArrayOutput

type GetAiIndexMetadataConfigInput 

type GetAiIndexMetadataConfigInput interface {
	pulumi.Input

	ToGetAiIndexMetadataConfigOutput() GetAiIndexMetadataConfigOutput
	ToGetAiIndexMetadataConfigOutputWithContext(context.Context) GetAiIndexMetadataConfigOutput
}

GetAiIndexMetadataConfigInput is an input type that accepts GetAiIndexMetadataConfigArgs and GetAiIndexMetadataConfigOutput values. You can construct a concrete instance of `GetAiIndexMetadataConfigInput` via: 

GetAiIndexMetadataConfigArgs{...}

type GetAiIndexMetadataConfigOutput 

type GetAiIndexMetadataConfigOutput struct{ *pulumi.OutputState }

func (GetAiIndexMetadataConfigOutput) AlgorithmConfigs 

func (o GetAiIndexMetadataConfigOutput) AlgorithmConfigs() GetAiIndexMetadataConfigAlgorithmConfigArrayOutput

The configuration with regard to the algorithms used for efficient search.

func (GetAiIndexMetadataConfigOutput) ApproximateNeighborsCount 

func (o GetAiIndexMetadataConfigOutput) ApproximateNeighborsCount() pulumi.IntOutput

The default number of neighbors to find via approximate search before exact reordering is performed. Exact reordering is a procedure where results returned by an approximate search algorithm are reordered via a more expensive distance computation. Required if tree-AH algorithm is used.

func (GetAiIndexMetadataConfigOutput) Dimensions 

func (o GetAiIndexMetadataConfigOutput) Dimensions() pulumi.IntOutput

The number of dimensions of the input vectors.

func (GetAiIndexMetadataConfigOutput) DistanceMeasureType 

func (o GetAiIndexMetadataConfigOutput) DistanceMeasureType() pulumi.StringOutput

The distance measure used in nearest neighbor search. The value must be one of the followings: * SQUARED_L2_DISTANCE: Euclidean (L_2) Distance * L1_DISTANCE: Manhattan (L_1) Distance * COSINE_DISTANCE: Cosine Distance. Defined as 1 - cosine similarity. * DOT_PRODUCT_DISTANCE: Dot Product Distance. Defined as a negative of the dot product

func (GetAiIndexMetadataConfigOutput) ElementType 

func (GetAiIndexMetadataConfigOutput) ElementType() reflect.Type

func (GetAiIndexMetadataConfigOutput) FeatureNormType 

func (o GetAiIndexMetadataConfigOutput) FeatureNormType() pulumi.StringOutput

Type of normalization to be carried out on each vector. The value must be one of the followings: * UNIT_L2_NORM: Unit L2 normalization type * NONE: No normalization type is specified.

func (GetAiIndexMetadataConfigOutput) ShardSize 

func (o GetAiIndexMetadataConfigOutput) ShardSize() pulumi.StringOutput

Index data is split into equal parts to be processed. These are called "shards". The shard size must be specified when creating an index. The value must be one of the followings: * SHARD_SIZE_SMALL: Small (2GB) * SHARD_SIZE_MEDIUM: Medium (20GB) * SHARD_SIZE_LARGE: Large (50GB)

func (GetAiIndexMetadataConfigOutput) ToGetAiIndexMetadataConfigOutput 

func (o GetAiIndexMetadataConfigOutput) ToGetAiIndexMetadataConfigOutput() GetAiIndexMetadataConfigOutput

func (GetAiIndexMetadataConfigOutput) ToGetAiIndexMetadataConfigOutputWithContext 

func (o GetAiIndexMetadataConfigOutput) ToGetAiIndexMetadataConfigOutputWithContext(ctx context.Context) GetAiIndexMetadataConfigOutput

type GetAiIndexMetadataInput 

type GetAiIndexMetadataInput interface {
	pulumi.Input

	ToGetAiIndexMetadataOutput() GetAiIndexMetadataOutput
	ToGetAiIndexMetadataOutputWithContext(context.Context) GetAiIndexMetadataOutput
}

GetAiIndexMetadataInput is an input type that accepts GetAiIndexMetadataArgs and GetAiIndexMetadataOutput values. You can construct a concrete instance of `GetAiIndexMetadataInput` via: 

GetAiIndexMetadataArgs{...}

type GetAiIndexMetadataOutput 

type GetAiIndexMetadataOutput struct{ *pulumi.OutputState }

func (GetAiIndexMetadataOutput) Configs 

func (o GetAiIndexMetadataOutput) Configs() GetAiIndexMetadataConfigArrayOutput

The configuration of the Matching Engine Index.

func (GetAiIndexMetadataOutput) ContentsDeltaUri 

func (o GetAiIndexMetadataOutput) ContentsDeltaUri() pulumi.StringOutput

Allows inserting, updating or deleting the contents of the Matching Engine Index. The string must be a valid Cloud Storage directory path. If this field is set when calling IndexService.UpdateIndex, then no other Index field can be also updated as part of the same call. The expected structure and format of the files this URI points to is described at https://cloud.google.com/vertex-ai/docs/matching-engine/using-matching-engine#input-data-format

func (GetAiIndexMetadataOutput) ElementType 

func (GetAiIndexMetadataOutput) ElementType() reflect.Type

func (GetAiIndexMetadataOutput) IsCompleteOverwrite 

func (o GetAiIndexMetadataOutput) IsCompleteOverwrite() pulumi.BoolOutput

If this field is set together with contentsDeltaUri when calling IndexService.UpdateIndex, then existing content of the Index will be replaced by the data from the contentsDeltaUri.

func (GetAiIndexMetadataOutput) ToGetAiIndexMetadataOutput 

func (o GetAiIndexMetadataOutput) ToGetAiIndexMetadataOutput() GetAiIndexMetadataOutput

func (GetAiIndexMetadataOutput) ToGetAiIndexMetadataOutputWithContext 

func (o GetAiIndexMetadataOutput) ToGetAiIndexMetadataOutputWithContext(ctx context.Context) GetAiIndexMetadataOutput

type LookupAiEndpointIamPolicyArgs 

type LookupAiEndpointIamPolicyArgs struct {
	// Used to find the parent resource to bind the IAM policy to
	Endpoint string `pulumi:"endpoint"`
	// The location for the resource Used to find the parent resource to bind the IAM policy to. If not specified,
	// the value will be parsed from the identifier of the parent resource. If no location is provided in the parent identifier and no
	// location is specified, it is taken from the provider configuration.
	Location *string `pulumi:"location"`
	// The ID of the project in which the resource belongs.
	// If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
	Project *string `pulumi:"project"`
}

A collection of arguments for invoking getAiEndpointIamPolicy.

type LookupAiEndpointIamPolicyOutputArgs 

type LookupAiEndpointIamPolicyOutputArgs struct {
	// Used to find the parent resource to bind the IAM policy to
	Endpoint pulumi.StringInput `pulumi:"endpoint"`
	// The location for the resource Used to find the parent resource to bind the IAM policy to. If not specified,
	// the value will be parsed from the identifier of the parent resource. If no location is provided in the parent identifier and no
	// location is specified, it is taken from the provider configuration.
	Location pulumi.StringPtrInput `pulumi:"location"`
	// The ID of the project in which the resource belongs.
	// If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
	Project pulumi.StringPtrInput `pulumi:"project"`
}

A collection of arguments for invoking getAiEndpointIamPolicy.

func (LookupAiEndpointIamPolicyOutputArgs) ElementType 

func (LookupAiEndpointIamPolicyOutputArgs) ElementType() reflect.Type

type LookupAiEndpointIamPolicyResult 

type LookupAiEndpointIamPolicyResult struct {
	Endpoint string `pulumi:"endpoint"`
	// (Computed) The etag of the IAM policy.
	Etag string `pulumi:"etag"`
	// The provider-assigned unique ID for this managed resource.
	Id       string `pulumi:"id"`
	Location string `pulumi:"location"`
	// (Required only by `vertex.AiEndpointIamPolicy`) The policy data generated by
	// a `organizations.getIAMPolicy` data source.
	PolicyData string `pulumi:"policyData"`
	Project    string `pulumi:"project"`
}

A collection of values returned by getAiEndpointIamPolicy.

func LookupAiEndpointIamPolicy 

func LookupAiEndpointIamPolicy(ctx *pulumi.Context, args *LookupAiEndpointIamPolicyArgs, opts ...pulumi.InvokeOption) (*LookupAiEndpointIamPolicyResult, error)

type LookupAiEndpointIamPolicyResultOutput 

type LookupAiEndpointIamPolicyResultOutput struct{ *pulumi.OutputState }

A collection of values returned by getAiEndpointIamPolicy.

func LookupAiEndpointIamPolicyOutput 

func LookupAiEndpointIamPolicyOutput(ctx *pulumi.Context, args LookupAiEndpointIamPolicyOutputArgs, opts ...pulumi.InvokeOption) LookupAiEndpointIamPolicyResultOutput

func (LookupAiEndpointIamPolicyResultOutput) ElementType 

func (LookupAiEndpointIamPolicyResultOutput) ElementType() reflect.Type

func (LookupAiEndpointIamPolicyResultOutput) Endpoint 

func (o LookupAiEndpointIamPolicyResultOutput) Endpoint() pulumi.StringOutput

func (LookupAiEndpointIamPolicyResultOutput) Etag 

func (o LookupAiEndpointIamPolicyResultOutput) Etag() pulumi.StringOutput

(Computed) The etag of the IAM policy.

func (LookupAiEndpointIamPolicyResultOutput) Id 

func (o LookupAiEndpointIamPolicyResultOutput) Id() pulumi.StringOutput

The provider-assigned unique ID for this managed resource.

func (LookupAiEndpointIamPolicyResultOutput) Location 

func (o LookupAiEndpointIamPolicyResultOutput) Location() pulumi.StringOutput

func (LookupAiEndpointIamPolicyResultOutput) PolicyData 

func (o LookupAiEndpointIamPolicyResultOutput) PolicyData() pulumi.StringOutput

(Required only by `vertex.AiEndpointIamPolicy`) The policy data generated by a `organizations.getIAMPolicy` data source.

func (LookupAiEndpointIamPolicyResultOutput) Project 

func (o LookupAiEndpointIamPolicyResultOutput) Project() pulumi.StringOutput

func (LookupAiEndpointIamPolicyResultOutput) ToLookupAiEndpointIamPolicyResultOutput 

func (o LookupAiEndpointIamPolicyResultOutput) ToLookupAiEndpointIamPolicyResultOutput() LookupAiEndpointIamPolicyResultOutput

func (LookupAiEndpointIamPolicyResultOutput) ToLookupAiEndpointIamPolicyResultOutputWithContext 

func (o LookupAiEndpointIamPolicyResultOutput) ToLookupAiEndpointIamPolicyResultOutputWithContext(ctx context.Context) LookupAiEndpointIamPolicyResultOutput

type LookupAiIndexArgs 

type LookupAiIndexArgs struct {
	// The name of the index.
	Name string `pulumi:"name"`
	// The ID of the project in which the resource belongs.
	Project *string `pulumi:"project"`
	// The region of the index.
	//
	// ***
	Region string `pulumi:"region"`
}

A collection of arguments for invoking getAiIndex.

type LookupAiIndexOutputArgs 

type LookupAiIndexOutputArgs struct {
	// The name of the index.
	Name pulumi.StringInput `pulumi:"name"`
	// The ID of the project in which the resource belongs.
	Project pulumi.StringPtrInput `pulumi:"project"`
	// The region of the index.
	//
	// ***
	Region pulumi.StringInput `pulumi:"region"`
}

A collection of arguments for invoking getAiIndex.

func (LookupAiIndexOutputArgs) ElementType 

func (LookupAiIndexOutputArgs) ElementType() reflect.Type

type LookupAiIndexResult 

type LookupAiIndexResult struct {
	CreateTime      string                    `pulumi:"createTime"`
	DeployedIndexes []GetAiIndexDeployedIndex `pulumi:"deployedIndexes"`
	Description     string                    `pulumi:"description"`
	DisplayName     string                    `pulumi:"displayName"`
	EffectiveLabels map[string]string         `pulumi:"effectiveLabels"`
	Etag            string                    `pulumi:"etag"`
	// The provider-assigned unique ID for this managed resource.
	Id                string                `pulumi:"id"`
	IndexStats        []GetAiIndexIndexStat `pulumi:"indexStats"`
	IndexUpdateMethod string                `pulumi:"indexUpdateMethod"`
	Labels            map[string]string     `pulumi:"labels"`
	MetadataSchemaUri string                `pulumi:"metadataSchemaUri"`
	Metadatas         []GetAiIndexMetadata  `pulumi:"metadatas"`
	Name              string                `pulumi:"name"`
	Project           *string               `pulumi:"project"`
	PulumiLabels      map[string]string     `pulumi:"pulumiLabels"`
	Region            string                `pulumi:"region"`
	UpdateTime        string                `pulumi:"updateTime"`
}

A collection of values returned by getAiIndex.

func LookupAiIndex 

func LookupAiIndex(ctx *pulumi.Context, args *LookupAiIndexArgs, opts ...pulumi.InvokeOption) (*LookupAiIndexResult, error)

A representation of a collection of database items organized in a way that allows for approximate nearest neighbor (a.k.a ANN) algorithms search.

type LookupAiIndexResultOutput 

type LookupAiIndexResultOutput struct{ *pulumi.OutputState }

A collection of values returned by getAiIndex.

func LookupAiIndexOutput 

func LookupAiIndexOutput(ctx *pulumi.Context, args LookupAiIndexOutputArgs, opts ...pulumi.InvokeOption) LookupAiIndexResultOutput

func (LookupAiIndexResultOutput) CreateTime 

func (o LookupAiIndexResultOutput) CreateTime() pulumi.StringOutput

func (LookupAiIndexResultOutput) DeployedIndexes 

func (o LookupAiIndexResultOutput) DeployedIndexes() GetAiIndexDeployedIndexArrayOutput

func (LookupAiIndexResultOutput) Description 

func (o LookupAiIndexResultOutput) Description() pulumi.StringOutput

func (LookupAiIndexResultOutput) DisplayName 

func (o LookupAiIndexResultOutput) DisplayName() pulumi.StringOutput

func (LookupAiIndexResultOutput) EffectiveLabels 

func (o LookupAiIndexResultOutput) EffectiveLabels() pulumi.StringMapOutput

func (LookupAiIndexResultOutput) ElementType 

func (LookupAiIndexResultOutput) ElementType() reflect.Type

func (LookupAiIndexResultOutput) Etag 

func (o LookupAiIndexResultOutput) Etag() pulumi.StringOutput

func (LookupAiIndexResultOutput) Id 

func (o LookupAiIndexResultOutput) Id() pulumi.StringOutput

The provider-assigned unique ID for this managed resource.

func (LookupAiIndexResultOutput) IndexStats 

func (o LookupAiIndexResultOutput) IndexStats() GetAiIndexIndexStatArrayOutput

func (LookupAiIndexResultOutput) IndexUpdateMethod 

func (o LookupAiIndexResultOutput) IndexUpdateMethod() pulumi.StringOutput

func (LookupAiIndexResultOutput) Labels 

func (o LookupAiIndexResultOutput) Labels() pulumi.StringMapOutput

func (LookupAiIndexResultOutput) MetadataSchemaUri 

func (o LookupAiIndexResultOutput) MetadataSchemaUri() pulumi.StringOutput

func (LookupAiIndexResultOutput) Metadatas 

func (o LookupAiIndexResultOutput) Metadatas() GetAiIndexMetadataArrayOutput

func (LookupAiIndexResultOutput) Name 

func (o LookupAiIndexResultOutput) Name() pulumi.StringOutput

func (LookupAiIndexResultOutput) Project 

func (o LookupAiIndexResultOutput) Project() pulumi.StringPtrOutput

func (LookupAiIndexResultOutput) PulumiLabels 

func (o LookupAiIndexResultOutput) PulumiLabels() pulumi.StringMapOutput

func (LookupAiIndexResultOutput) Region 

func (o LookupAiIndexResultOutput) Region() pulumi.StringOutput

func (LookupAiIndexResultOutput) ToLookupAiIndexResultOutput 

func (o LookupAiIndexResultOutput) ToLookupAiIndexResultOutput() LookupAiIndexResultOutput

func (LookupAiIndexResultOutput) ToLookupAiIndexResultOutputWithContext 

func (o LookupAiIndexResultOutput) ToLookupAiIndexResultOutputWithContext(ctx context.Context) LookupAiIndexResultOutput

func (LookupAiIndexResultOutput) UpdateTime 

func (o LookupAiIndexResultOutput) UpdateTime() pulumi.StringOutput

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