vertex

package
v7.1.1 Latest Latest
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 Go to latest Published: Nov 17, 2023 License: Apache-2.0 Imports: 7 Imported by: 0

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Constants

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/v7/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"),
			Labels: pulumi.StringMap{
				"env": pulumi.String("test"),
			},
			MetadataSchemaUri: pulumi.String("gs://google-cloud-aiplatform/schema/dataset/metadata/image_1.0.0.yaml"),
			Region:            pulumi.String("us-central1"),
		})
		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 AiEndpoint 

type AiEndpoint struct {
	pulumi.CustomResourceState

	// (Output)
	// Output only. Timestamp when the DeployedModel was created.
	CreateTime pulumi.StringOutput `pulumi:"createTime"`
	// 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.
	Network pulumi.StringPtrOutput `pulumi:"network"`
	// 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"`
	// 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 ( 

"fmt"

"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/compute"
"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/kms"
"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/organizations"
"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/servicenetworking"
"github.com/pulumi/pulumi-gcp/sdk/v7/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, "vertexNetwork", nil)
		if err != nil {
			return err
		}
		vertexRange, err := compute.NewGlobalAddress(ctx, "vertexRange", &compute.GlobalAddressArgs{
			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, "vertexVpcConnection", &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, nil, nil)
		if err != nil {
			return err
		}
		_, err = vertex.NewAiEndpoint(ctx, "endpoint", &vertex.AiEndpointArgs{
			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"),
			},
		}, pulumi.DependsOn([]pulumi.Resource{
			vertexVpcConnection,
		}))
		if err != nil {
			return err
		}
		_, err = kms.NewCryptoKeyIAMMember(ctx, "cryptoKey", &kms.CryptoKeyIAMMemberArgs{
			CryptoKeyId: pulumi.String("kms-name"),
			Role:        pulumi.String("roles/cloudkms.cryptoKeyEncrypterDecrypter"),
			Member:      pulumi.String(fmt.Sprintf("serviceAccount:service-%v@gcp-sa-aiplatform.iam.gserviceaccount.com", project.Number)),
		})
		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}}` In Terraform v1.5.0 and later, use an [`import` block](https://developer.hashicorp.com/terraform/language/import) to import Endpoint using one of the formats above. For exampletf import { 

id = "projects/{{project}}/locations/{{location}}/endpoints/{{name}}"

to = google_vertex_ai_endpoint.default }

```sh 

$ pulumi import gcp:vertex/aiEndpoint:AiEndpoint When using the [`terraform import` command](https://developer.hashicorp.com/terraform/cli/commands/import), 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 {
	// 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.
	Network 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
	Region 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 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) 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.

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) UpdateTime 

func (o AiEndpointOutput) UpdateTime() pulumi.StringOutput

Output only. Timestamp when this Endpoint was last updated.

type AiEndpointState 

type AiEndpointState struct {
	// (Output)
	// Output only. Timestamp when the DeployedModel was created.
	CreateTime pulumi.StringPtrInput
	// 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.
	Network 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
	Region pulumi.StringPtrInput
	// Output only. Timestamp when this Endpoint was last updated.
	UpdateTime pulumi.StringPtrInput
}

func (AiEndpointState) ElementType 

func (AiEndpointState) 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/v7/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{
			EncryptionSpec: &vertex.AiFeatureStoreEncryptionSpecArgs{
				KmsKeyName: pulumi.String("kms-name"),
			},
			ForceDestroy: pulumi.Bool(true),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			OnlineServingConfig: &vertex.AiFeatureStoreOnlineServingConfigArgs{
				FixedNodeCount: pulumi.Int(2),
			},
			Region: pulumi.String("us-central1"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

``` ### Vertex Ai Featurestore With Beta Fields

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v7/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{
			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),
		}, pulumi.Provider(google_beta))
		if err != nil {
			return err
		}
		return nil
	})
}

``` ### Vertex Ai Featurestore Scaling

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v7/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{
			EncryptionSpec: &vertex.AiFeatureStoreEncryptionSpecArgs{
				KmsKeyName: pulumi.String("kms-name"),
			},
			ForceDestroy: pulumi.Bool(true),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			OnlineServingConfig: &vertex.AiFeatureStoreOnlineServingConfigArgs{
				Scaling: &vertex.AiFeatureStoreOnlineServingConfigScalingArgs{
					MaxNodeCount: pulumi.Int(10),
					MinNodeCount: pulumi.Int(2),
				},
			},
			Region: pulumi.String("us-central1"),
		})
		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}}` In Terraform v1.5.0 and later, use an [`import` block](https://developer.hashicorp.com/terraform/language/import) to import Featurestore using one of the formats above. For exampletf import { 

id = "projects/{{project}}/locations/{{region}}/featurestores/{{name}}"

to = google_vertex_ai_featurestore.default }

```sh 

$ pulumi import gcp:vertex/aiFeatureStore:AiFeatureStore When using the [`terraform import` command](https://developer.hashicorp.com/terraform/cli/commands/import), 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/v7/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{
			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{
			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/v7/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{
			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"),
			},
		}, pulumi.Provider(google_beta))
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureStoreEntityType(ctx, "entity", &vertex.AiFeatureStoreEntityTypeArgs{
			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),
		}, pulumi.Provider(google_beta))
		if err != nil {
			return err
		}
		return nil
	})
}

```

## Import

FeaturestoreEntitytype can be imported using any of these accepted formats* `{{featurestore}}/entityTypes/{{name}}` In Terraform v1.5.0 and later, use an [`import` block](https://developer.hashicorp.com/terraform/language/import) to import FeaturestoreEntitytype using one of the formats above. For exampletf import { 

id = "{{featurestore}}/entityTypes/{{name}}"

to = google_vertex_ai_featurestore_entitytype.default }

```sh 

$ pulumi import gcp:vertex/aiFeatureStoreEntityType:AiFeatureStoreEntityType When using the [`terraform import` command](https://developer.hashicorp.com/terraform/cli/commands/import), 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/v7/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{
			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{
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Featurestore: featurestore.ID(),
		})
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureStoreEntityTypeFeature(ctx, "feature", &vertex.AiFeatureStoreEntityTypeFeatureArgs{
			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/v7/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{
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			OnlineServingConfig: &vertex.AiFeatureStoreOnlineServingConfigArgs{
				FixedNodeCount: pulumi.Int(2),
			},
		}, pulumi.Provider(google_beta))
		if err != nil {
			return err
		}
		entity, err := vertex.NewAiFeatureStoreEntityType(ctx, "entity", &vertex.AiFeatureStoreEntityTypeArgs{
			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),
				},
			},
		}, pulumi.Provider(google_beta))
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureStoreEntityTypeFeature(ctx, "feature", &vertex.AiFeatureStoreEntityTypeFeatureArgs{
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Entitytype: entity.ID(),
			ValueType:  pulumi.String("INT64_ARRAY"),
		}, pulumi.Provider(google_beta))
		if err != nil {
			return err
		}
		return nil
	})
}

```

## Import

FeaturestoreEntitytypeFeature can be imported using any of these accepted formats* `{{entitytype}}/features/{{name}}` In Terraform v1.5.0 and later, use an [`import` block](https://developer.hashicorp.com/terraform/language/import) to import FeaturestoreEntitytypeFeature using one of the formats above. For exampletf import { 

id = "{{entitytype}}/features/{{name}}"

to = google_vertex_ai_featurestore_entitytype_feature.default }

```sh 

$ pulumi import gcp:vertex/aiFeatureStoreEntityTypeFeature:AiFeatureStoreEntityTypeFeature When using the [`terraform import` command](https://developer.hashicorp.com/terraform/cli/commands/import), 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
	//
	// * `member/members` - (Required) 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"
	Featurestore pulumi.StringOutput      `pulumi:"featurestore"`
	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 identifiersthe 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 identifiersthe 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
	//
	// * `member/members` - (Required) 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"
	Featurestore pulumi.StringInput
	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

  • `member/members` - (Required) 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) Members 

func (o AiFeatureStoreEntityTypeIamBindingOutput) Members() pulumi.StringArrayOutput

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
	//
	// * `member/members` - (Required) 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"
	Featurestore pulumi.StringPtrInput
	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
	//
	// * `member/members` - (Required) 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"
	Featurestore pulumi.StringOutput `pulumi:"featurestore"`
	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 identifiersthe 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 identifiersthe 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
	//
	// * `member/members` - (Required) 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"
	Featurestore pulumi.StringInput
	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

  • `member/members` - (Required) 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) Member 

func (o AiFeatureStoreEntityTypeIamMemberOutput) Member() pulumi.StringOutput

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
	//
	// * `member/members` - (Required) 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"
	Featurestore pulumi.StringPtrInput
	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
	//
	// * `member/members` - (Required) 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"
	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 identifiersthe 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 identifiersthe 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
	//
	// * `member/members` - (Required) 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"
	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

  • `member/members` - (Required) 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 (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
	//
	// * `member/members` - (Required) 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"
	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"`
	// Deprecated: `monitoring_interval` 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"`
	// Deprecated: `monitoring_interval` 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

Deprecated: `monitoring_interval` 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

Deprecated: `monitoring_interval` 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"`
	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.
	//
	// * `member/members` - (Required) 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"
	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 identifiersthe 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 identifiersthe 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
	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.
	//
	// * `member/members` - (Required) 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"
	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

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.

  • `member/members` - (Required) 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) 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
	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.
	//
	// * `member/members` - (Required) 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"
	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"`
	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.
	//
	// * `member/members` - (Required) 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"
	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 identifiersthe 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 identifiersthe 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
	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.
	//
	// * `member/members` - (Required) 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"
	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

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.

  • `member/members` - (Required) 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) 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
	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.
	//
	// * `member/members` - (Required) 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"
	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.
	//
	// * `member/members` - (Required) 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"
	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 identifiersthe 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 identifiersthe 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.
	//
	// * `member/members` - (Required) 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"
	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.

  • `member/members` - (Required) 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 (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.
	//
	// * `member/members` - (Required) 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"
	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/v7/go/gcp/storage"
"github.com/pulumi/pulumi-gcp/sdk/v7/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{
			Location:                 pulumi.String("us-central1"),
			UniformBucketLevelAccess: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		_, err = storage.NewBucketObject(ctx, "data", &storage.BucketObjectArgs{
			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/v7/go/gcp/storage"
"github.com/pulumi/pulumi-gcp/sdk/v7/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{
			Location:                 pulumi.String("us-central1"),
			UniformBucketLevelAccess: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		_, err = storage.NewBucketObject(ctx, "data", &storage.BucketObjectArgs{
			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: nil,
					},
				},
			},
			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}}` In Terraform v1.5.0 and later, use an [`import` block](https://developer.hashicorp.com/terraform/language/import) to import Index using one of the formats above. For exampletf import { 

id = "projects/{{project}}/locations/{{region}}/indexes/{{name}}"

to = google_vertex_ai_index.default }

```sh 

$ pulumi import gcp:vertex/aiIndex:AiIndex When using the [`terraform import` command](https://developer.hashicorp.com/terraform/cli/commands/import), 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/v7/go/gcp/compute"
"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/organizations"
"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/servicenetworking"
"github.com/pulumi/pulumi-gcp/sdk/v7/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, "vertexNetwork", nil)
		if err != nil {
			return err
		}
		vertexRange, err := compute.NewGlobalAddress(ctx, "vertexRange", &compute.GlobalAddressArgs{
			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, "vertexVpcConnection", &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, nil, nil)
		if err != nil {
			return err
		}
		_, err = vertex.NewAiIndexEndpoint(ctx, "indexEndpoint", &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/v7/go/gcp/organizations"
"github.com/pulumi/pulumi-gcp/sdk/v7/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, nil, nil)
		if err != nil {
			return err
		}
		_, err = vertex.NewAiIndexEndpoint(ctx, "indexEndpoint", &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.Number),
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

``` ### Vertex Ai Index Endpoint With Public Endpoint

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiIndexEndpoint(ctx, "indexEndpoint", &vertex.AiIndexEndpointArgs{
			Description: pulumi.String("A sample vertex endpoint with an public endpoint"),
			DisplayName: pulumi.String("sample-endpoint"),
			Labels: pulumi.StringMap{
				"label-one": pulumi.String("value-one"),
			},
			PublicEndpointEnabled: pulumi.Bool(true),
			Region:                pulumi.String("us-central1"),
		})
		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}}` In Terraform v1.5.0 and later, use an [`import` block](https://developer.hashicorp.com/terraform/language/import) to import IndexEndpoint using one of the formats above. For exampletf import { 

id = "projects/{{project}}/locations/{{region}}/indexEndpoints/{{name}}"

to = google_vertex_ai_index_endpoint.default }

```sh 

$ pulumi import gcp:vertex/aiIndexEndpoint:AiIndexEndpoint When using the [`terraform import` command](https://developer.hashicorp.com/terraform/cli/commands/import), 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 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 added in v7.1.0 

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 added in v7.1.0 

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 added in v7.1.0 

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 added in v7.1.0 

func (AiIndexEndpointPrivateServiceConnectConfigArgs) ElementType() reflect.Type

func (AiIndexEndpointPrivateServiceConnectConfigArgs) ToAiIndexEndpointPrivateServiceConnectConfigOutput added in v7.1.0 

func (i AiIndexEndpointPrivateServiceConnectConfigArgs) ToAiIndexEndpointPrivateServiceConnectConfigOutput() AiIndexEndpointPrivateServiceConnectConfigOutput

func (AiIndexEndpointPrivateServiceConnectConfigArgs) ToAiIndexEndpointPrivateServiceConnectConfigOutputWithContext added in v7.1.0 

func (i AiIndexEndpointPrivateServiceConnectConfigArgs) ToAiIndexEndpointPrivateServiceConnectConfigOutputWithContext(ctx context.Context) AiIndexEndpointPrivateServiceConnectConfigOutput

func (AiIndexEndpointPrivateServiceConnectConfigArgs) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutput added in v7.1.0 

func (i AiIndexEndpointPrivateServiceConnectConfigArgs) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutput() AiIndexEndpointPrivateServiceConnectConfigPtrOutput

func (AiIndexEndpointPrivateServiceConnectConfigArgs) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutputWithContext added in v7.1.0 

func (i AiIndexEndpointPrivateServiceConnectConfigArgs) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutputWithContext(ctx context.Context) AiIndexEndpointPrivateServiceConnectConfigPtrOutput

type AiIndexEndpointPrivateServiceConnectConfigInput added in v7.1.0 

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 added in v7.1.0 

type AiIndexEndpointPrivateServiceConnectConfigOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointPrivateServiceConnectConfigOutput) ElementType added in v7.1.0 

func (AiIndexEndpointPrivateServiceConnectConfigOutput) ElementType() reflect.Type

func (AiIndexEndpointPrivateServiceConnectConfigOutput) EnablePrivateServiceConnect added in v7.1.0 

func (o AiIndexEndpointPrivateServiceConnectConfigOutput) EnablePrivateServiceConnect() pulumi.BoolOutput

If set to true, the IndexEndpoint is created without private service access.

func (AiIndexEndpointPrivateServiceConnectConfigOutput) ProjectAllowlists added in v7.1.0 

func (o AiIndexEndpointPrivateServiceConnectConfigOutput) ProjectAllowlists() pulumi.StringArrayOutput

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

func (AiIndexEndpointPrivateServiceConnectConfigOutput) ToAiIndexEndpointPrivateServiceConnectConfigOutput added in v7.1.0 

func (o AiIndexEndpointPrivateServiceConnectConfigOutput) ToAiIndexEndpointPrivateServiceConnectConfigOutput() AiIndexEndpointPrivateServiceConnectConfigOutput

func (AiIndexEndpointPrivateServiceConnectConfigOutput) ToAiIndexEndpointPrivateServiceConnectConfigOutputWithContext added in v7.1.0 

func (o AiIndexEndpointPrivateServiceConnectConfigOutput) ToAiIndexEndpointPrivateServiceConnectConfigOutputWithContext(ctx context.Context) AiIndexEndpointPrivateServiceConnectConfigOutput

func (AiIndexEndpointPrivateServiceConnectConfigOutput) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutput added in v7.1.0 

func (o AiIndexEndpointPrivateServiceConnectConfigOutput) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutput() AiIndexEndpointPrivateServiceConnectConfigPtrOutput

func (AiIndexEndpointPrivateServiceConnectConfigOutput) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutputWithContext added in v7.1.0 

func (o AiIndexEndpointPrivateServiceConnectConfigOutput) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutputWithContext(ctx context.Context) AiIndexEndpointPrivateServiceConnectConfigPtrOutput

type AiIndexEndpointPrivateServiceConnectConfigPtrInput added in v7.1.0 

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 added in v7.1.0 

func AiIndexEndpointPrivateServiceConnectConfigPtr(v *AiIndexEndpointPrivateServiceConnectConfigArgs) AiIndexEndpointPrivateServiceConnectConfigPtrInput

type AiIndexEndpointPrivateServiceConnectConfigPtrOutput added in v7.1.0 

type AiIndexEndpointPrivateServiceConnectConfigPtrOutput struct{ *pulumi.OutputState }

func (AiIndexEndpointPrivateServiceConnectConfigPtrOutput) Elem added in v7.1.0 

func (o AiIndexEndpointPrivateServiceConnectConfigPtrOutput) Elem() AiIndexEndpointPrivateServiceConnectConfigOutput

func (AiIndexEndpointPrivateServiceConnectConfigPtrOutput) ElementType added in v7.1.0 

func (AiIndexEndpointPrivateServiceConnectConfigPtrOutput) ElementType() reflect.Type

func (AiIndexEndpointPrivateServiceConnectConfigPtrOutput) EnablePrivateServiceConnect added in v7.1.0 

func (o AiIndexEndpointPrivateServiceConnectConfigPtrOutput) EnablePrivateServiceConnect() pulumi.BoolPtrOutput

If set to true, the IndexEndpoint is created without private service access.

func (AiIndexEndpointPrivateServiceConnectConfigPtrOutput) ProjectAllowlists added in v7.1.0 

func (o AiIndexEndpointPrivateServiceConnectConfigPtrOutput) ProjectAllowlists() pulumi.StringArrayOutput

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

func (AiIndexEndpointPrivateServiceConnectConfigPtrOutput) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutput added in v7.1.0 

func (o AiIndexEndpointPrivateServiceConnectConfigPtrOutput) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutput() AiIndexEndpointPrivateServiceConnectConfigPtrOutput

func (AiIndexEndpointPrivateServiceConnectConfigPtrOutput) ToAiIndexEndpointPrivateServiceConnectConfigPtrOutputWithContext added in v7.1.0 

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.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.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.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 (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/v7/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{
			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}}` In Terraform v1.5.0 and later, use an [`import` block](https://developer.hashicorp.com/terraform/language/import) to import MetadataStore using one of the formats above. For exampletf import { 

id = "projects/{{project}}/locations/{{region}}/metadataStores/{{name}}"

to = google_vertex_ai_metadata_store.default }

```sh 

$ pulumi import gcp:vertex/aiMetadataStore:AiMetadataStore When using the [`terraform import` command](https://developer.hashicorp.com/terraform/cli/commands/import), 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/v7/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/v7/go/gcp/kms"
"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/organizations"
"github.com/pulumi/pulumi-gcp/sdk/v7/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, nil, nil)
		if err != nil {
			return err
		}
		cryptoKey, err := kms.NewCryptoKeyIAMMember(ctx, "cryptoKey", &kms.CryptoKeyIAMMemberArgs{
			CryptoKeyId: pulumi.String("kms-name"),
			Role:        pulumi.String("roles/cloudkms.cryptoKeyEncrypterDecrypter"),
			Member:      pulumi.String(fmt.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}}` In Terraform v1.5.0 and later, use an [`import` block](https://developer.hashicorp.com/terraform/language/import) to import Tensorboard using one of the formats above. For exampletf import { 

id = "projects/{{project}}/locations/{{region}}/tensorboards/{{name}}"

to = google_vertex_ai_tensorboard.default }

```sh 

$ pulumi import gcp:vertex/aiTensorboard:AiTensorboard When using the [`terraform import` command](https://developer.hashicorp.com/terraform/cli/commands/import), 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 {
	DeployedIndexId string `pulumi:"deployedIndexId"`
	IndexEndpoint   string `pulumi:"indexEndpoint"`
}

type GetAiIndexDeployedIndexArgs 

type GetAiIndexDeployedIndexArgs struct {
	DeployedIndexId pulumi.StringInput `pulumi:"deployedIndexId"`
	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

func (GetAiIndexDeployedIndexOutput) ElementType 

func (GetAiIndexDeployedIndexOutput) ElementType() reflect.Type

func (GetAiIndexDeployedIndexOutput) IndexEndpoint 

func (o GetAiIndexDeployedIndexOutput) IndexEndpoint() pulumi.StringOutput

func (GetAiIndexDeployedIndexOutput) ToGetAiIndexDeployedIndexOutput 

func (o GetAiIndexDeployedIndexOutput) ToGetAiIndexDeployedIndexOutput() GetAiIndexDeployedIndexOutput

func (GetAiIndexDeployedIndexOutput) ToGetAiIndexDeployedIndexOutputWithContext 

func (o GetAiIndexDeployedIndexOutput) ToGetAiIndexDeployedIndexOutputWithContext(ctx context.Context) GetAiIndexDeployedIndexOutput

type GetAiIndexIndexStat 

type GetAiIndexIndexStat struct {
	ShardsCount  int    `pulumi:"shardsCount"`
	VectorsCount string `pulumi:"vectorsCount"`
}

type GetAiIndexIndexStatArgs 

type GetAiIndexIndexStatArgs struct {
	ShardsCount  pulumi.IntInput    `pulumi:"shardsCount"`
	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

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

type GetAiIndexMetadata 

type GetAiIndexMetadata struct {
	Configs             []GetAiIndexMetadataConfig `pulumi:"configs"`
	ContentsDeltaUri    string                     `pulumi:"contentsDeltaUri"`
	IsCompleteOverwrite bool                       `pulumi:"isCompleteOverwrite"`
}

type GetAiIndexMetadataArgs 

type GetAiIndexMetadataArgs struct {
	Configs             GetAiIndexMetadataConfigArrayInput `pulumi:"configs"`
	ContentsDeltaUri    pulumi.StringInput                 `pulumi:"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 {
	AlgorithmConfigs          []GetAiIndexMetadataConfigAlgorithmConfig `pulumi:"algorithmConfigs"`
	ApproximateNeighborsCount int                                       `pulumi:"approximateNeighborsCount"`
	Dimensions                int                                       `pulumi:"dimensions"`
	DistanceMeasureType       string                                    `pulumi:"distanceMeasureType"`
	FeatureNormType           string                                    `pulumi:"featureNormType"`
	ShardSize                 string                                    `pulumi:"shardSize"`
}

type GetAiIndexMetadataConfigAlgorithmConfig 

type GetAiIndexMetadataConfigAlgorithmConfig struct {
	BruteForceConfigs []GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfig `pulumi:"bruteForceConfigs"`
	TreeAhConfigs     []GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfig     `pulumi:"treeAhConfigs"`
}

type GetAiIndexMetadataConfigAlgorithmConfigArgs 

type GetAiIndexMetadataConfigAlgorithmConfigArgs struct {
	BruteForceConfigs GetAiIndexMetadataConfigAlgorithmConfigBruteForceConfigArrayInput `pulumi:"bruteForceConfigs"`
	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

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

type GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfig 

type GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfig struct {
	LeafNodeEmbeddingCount   int `pulumi:"leafNodeEmbeddingCount"`
	LeafNodesToSearchPercent int `pulumi:"leafNodesToSearchPercent"`
}

type GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs 

type GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigArgs struct {
	LeafNodeEmbeddingCount   pulumi.IntInput `pulumi:"leafNodeEmbeddingCount"`
	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

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) LeafNodesToSearchPercent 

func (o GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) LeafNodesToSearchPercent() pulumi.IntOutput

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput 

func (o GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput() GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput

func (GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutputWithContext 

func (o GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput) ToGetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutputWithContext(ctx context.Context) GetAiIndexMetadataConfigAlgorithmConfigTreeAhConfigOutput

type GetAiIndexMetadataConfigArgs 

type GetAiIndexMetadataConfigArgs struct {
	AlgorithmConfigs          GetAiIndexMetadataConfigAlgorithmConfigArrayInput `pulumi:"algorithmConfigs"`
	ApproximateNeighborsCount pulumi.IntInput                                   `pulumi:"approximateNeighborsCount"`
	Dimensions                pulumi.IntInput                                   `pulumi:"dimensions"`
	DistanceMeasureType       pulumi.StringInput                                `pulumi:"distanceMeasureType"`
	FeatureNormType           pulumi.StringInput                                `pulumi:"featureNormType"`
	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

func (GetAiIndexMetadataConfigOutput) ApproximateNeighborsCount 

func (o GetAiIndexMetadataConfigOutput) ApproximateNeighborsCount() pulumi.IntOutput

func (GetAiIndexMetadataConfigOutput) Dimensions 

func (o GetAiIndexMetadataConfigOutput) Dimensions() pulumi.IntOutput

func (GetAiIndexMetadataConfigOutput) DistanceMeasureType 

func (o GetAiIndexMetadataConfigOutput) DistanceMeasureType() pulumi.StringOutput

func (GetAiIndexMetadataConfigOutput) ElementType 

func (GetAiIndexMetadataConfigOutput) ElementType() reflect.Type

func (GetAiIndexMetadataConfigOutput) FeatureNormType 

func (o GetAiIndexMetadataConfigOutput) FeatureNormType() pulumi.StringOutput

func (GetAiIndexMetadataConfigOutput) ShardSize 

func (o GetAiIndexMetadataConfigOutput) ShardSize() pulumi.StringOutput

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

func (GetAiIndexMetadataOutput) ContentsDeltaUri 

func (o GetAiIndexMetadataOutput) ContentsDeltaUri() pulumi.StringOutput

func (GetAiIndexMetadataOutput) ElementType 

func (GetAiIndexMetadataOutput) ElementType() reflect.Type

func (GetAiIndexMetadataOutput) IsCompleteOverwrite 

func (o GetAiIndexMetadataOutput) IsCompleteOverwrite() pulumi.BoolOutput

func (GetAiIndexMetadataOutput) ToGetAiIndexMetadataOutput 

func (o GetAiIndexMetadataOutput) ToGetAiIndexMetadataOutput() GetAiIndexMetadataOutput

func (GetAiIndexMetadataOutput) ToGetAiIndexMetadataOutputWithContext 

func (o GetAiIndexMetadataOutput) ToGetAiIndexMetadataOutputWithContext(ctx context.Context) GetAiIndexMetadataOutput

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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