vertex

package
v6.42.0 Latest Latest
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 Go to latest Published: Nov 7, 2022 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"`
	// 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.
	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 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/v6/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiDataset(ctx, "dataset", &vertex.AiDatasetArgs{
			DisplayName:       pulumi.String("terraform"),
			MetadataSchemaUri: pulumi.String("gs://google-cloud-aiplatform/schema/dataset/metadata/image_1.0.0.yaml"),
			Region:            pulumi.String("us-central1"),
		})
		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.
	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 added in v6.23.0 

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 added in v6.23.0 

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) ElementType 

func (AiDatasetOutput) ElementType() reflect.Type

func (AiDatasetOutput) EncryptionSpec added in v6.23.0 

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 added in v6.23.0 

func (o AiDatasetOutput) Labels() pulumi.StringMapOutput

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

func (AiDatasetOutput) MetadataSchemaUri added in v6.23.0 

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 added in v6.23.0 

func (o AiDatasetOutput) Name() pulumi.StringOutput

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

func (AiDatasetOutput) Project added in v6.23.0 

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) Region added in v6.23.0 

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 added in v6.23.0 

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
	// 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.
	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 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 added in v6.42.0 

type AiEndpoint struct {
	pulumi.CustomResourceState

	// Output only. Timestamp when this Endpoint 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/).
	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"`
	// 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.
	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"`
	// 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/v6/go/gcp/compute"
"github.com/pulumi/pulumi-gcp/sdk/v6/go/gcp/kms"
"github.com/pulumi/pulumi-gcp/sdk/v6/go/gcp/organizations"
"github.com/pulumi/pulumi-gcp/sdk/v6/go/gcp/servicenetworking"
"github.com/pulumi/pulumi-gcp/sdk/v6/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"

) 

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		vertexNetwork, err := compute.LookupNetwork(ctx, &compute.LookupNetworkArgs{
			Name: "network-name",
		}, 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:      pulumi.String(vertexNetwork.Id),
		})
		if err != nil {
			return err
		}
		vertexVpcConnection, err := servicenetworking.NewConnection(ctx, "vertexVpcConnection", &servicenetworking.ConnectionArgs{
			Network: pulumi.String(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"),
			Labels: pulumi.StringMap{
				"label-one": pulumi.String("value-one"),
			},
			Network: pulumi.String(fmt.Sprintf("projects/%v/global/networks/%v", project.Number, vertexNetwork.Name)),
			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

```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 added in v6.42.0 

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 added in v6.42.0 

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 added in v6.42.0 

func (*AiEndpoint) ElementType() reflect.Type

func (*AiEndpoint) ToAiEndpointOutput added in v6.42.0 

func (i *AiEndpoint) ToAiEndpointOutput() AiEndpointOutput

func (*AiEndpoint) ToAiEndpointOutputWithContext added in v6.42.0 

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

type AiEndpointArgs added in v6.42.0 

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.
	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 set of arguments for constructing a AiEndpoint resource.

func (AiEndpointArgs) ElementType added in v6.42.0 

func (AiEndpointArgs) ElementType() reflect.Type

type AiEndpointArray added in v6.42.0 

type AiEndpointArray []AiEndpointInput

func (AiEndpointArray) ElementType added in v6.42.0 

func (AiEndpointArray) ElementType() reflect.Type

func (AiEndpointArray) ToAiEndpointArrayOutput added in v6.42.0 

func (i AiEndpointArray) ToAiEndpointArrayOutput() AiEndpointArrayOutput

func (AiEndpointArray) ToAiEndpointArrayOutputWithContext added in v6.42.0 

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

type AiEndpointArrayInput added in v6.42.0 

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 added in v6.42.0 

type AiEndpointArrayOutput struct{ *pulumi.OutputState }

func (AiEndpointArrayOutput) ElementType added in v6.42.0 

func (AiEndpointArrayOutput) ElementType() reflect.Type

func (AiEndpointArrayOutput) Index added in v6.42.0 

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

func (AiEndpointArrayOutput) ToAiEndpointArrayOutput added in v6.42.0 

func (o AiEndpointArrayOutput) ToAiEndpointArrayOutput() AiEndpointArrayOutput

func (AiEndpointArrayOutput) ToAiEndpointArrayOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModel added in v6.42.0 

type AiEndpointDeployedModel struct {
	AutomaticResources []AiEndpointDeployedModelAutomaticResource `pulumi:"automaticResources"`
	CreateTime         *string                                    `pulumi:"createTime"`
	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"`
	EnableAccessLogging    *bool   `pulumi:"enableAccessLogging"`
	EnableContainerLogging *bool   `pulumi:"enableContainerLogging"`
	// an identifier for the resource with format `projects/{{project}}/locations/{{location}}/endpoints/{{name}}`
	Id               *string                                  `pulumi:"id"`
	Model            *string                                  `pulumi:"model"`
	ModelVersionId   *string                                  `pulumi:"modelVersionId"`
	PrivateEndpoints []AiEndpointDeployedModelPrivateEndpoint `pulumi:"privateEndpoints"`
	ServiceAccount   *string                                  `pulumi:"serviceAccount"`
	SharedResources  *string                                  `pulumi:"sharedResources"`
}

type AiEndpointDeployedModelArgs added in v6.42.0 

type AiEndpointDeployedModelArgs struct {
	AutomaticResources AiEndpointDeployedModelAutomaticResourceArrayInput `pulumi:"automaticResources"`
	CreateTime         pulumi.StringPtrInput                              `pulumi:"createTime"`
	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"`
	EnableAccessLogging    pulumi.BoolPtrInput   `pulumi:"enableAccessLogging"`
	EnableContainerLogging pulumi.BoolPtrInput   `pulumi:"enableContainerLogging"`
	// an identifier for the resource with format `projects/{{project}}/locations/{{location}}/endpoints/{{name}}`
	Id               pulumi.StringPtrInput                            `pulumi:"id"`
	Model            pulumi.StringPtrInput                            `pulumi:"model"`
	ModelVersionId   pulumi.StringPtrInput                            `pulumi:"modelVersionId"`
	PrivateEndpoints AiEndpointDeployedModelPrivateEndpointArrayInput `pulumi:"privateEndpoints"`
	ServiceAccount   pulumi.StringPtrInput                            `pulumi:"serviceAccount"`
	SharedResources  pulumi.StringPtrInput                            `pulumi:"sharedResources"`
}

func (AiEndpointDeployedModelArgs) ElementType added in v6.42.0 

func (AiEndpointDeployedModelArgs) ElementType() reflect.Type

func (AiEndpointDeployedModelArgs) ToAiEndpointDeployedModelOutput added in v6.42.0 

func (i AiEndpointDeployedModelArgs) ToAiEndpointDeployedModelOutput() AiEndpointDeployedModelOutput

func (AiEndpointDeployedModelArgs) ToAiEndpointDeployedModelOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelArray added in v6.42.0 

type AiEndpointDeployedModelArray []AiEndpointDeployedModelInput

func (AiEndpointDeployedModelArray) ElementType added in v6.42.0 

func (AiEndpointDeployedModelArray) ElementType() reflect.Type

func (AiEndpointDeployedModelArray) ToAiEndpointDeployedModelArrayOutput added in v6.42.0 

func (i AiEndpointDeployedModelArray) ToAiEndpointDeployedModelArrayOutput() AiEndpointDeployedModelArrayOutput

func (AiEndpointDeployedModelArray) ToAiEndpointDeployedModelArrayOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelArrayInput added in v6.42.0 

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 added in v6.42.0 

type AiEndpointDeployedModelArrayOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelArrayOutput) ElementType added in v6.42.0 

func (AiEndpointDeployedModelArrayOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelArrayOutput) Index added in v6.42.0 

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

func (AiEndpointDeployedModelArrayOutput) ToAiEndpointDeployedModelArrayOutput added in v6.42.0 

func (o AiEndpointDeployedModelArrayOutput) ToAiEndpointDeployedModelArrayOutput() AiEndpointDeployedModelArrayOutput

func (AiEndpointDeployedModelArrayOutput) ToAiEndpointDeployedModelArrayOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelAutomaticResource added in v6.42.0 

type AiEndpointDeployedModelAutomaticResource struct {
	MaxReplicaCount *int `pulumi:"maxReplicaCount"`
	MinReplicaCount *int `pulumi:"minReplicaCount"`
}

type AiEndpointDeployedModelAutomaticResourceArgs added in v6.42.0 

type AiEndpointDeployedModelAutomaticResourceArgs struct {
	MaxReplicaCount pulumi.IntPtrInput `pulumi:"maxReplicaCount"`
	MinReplicaCount pulumi.IntPtrInput `pulumi:"minReplicaCount"`
}

func (AiEndpointDeployedModelAutomaticResourceArgs) ElementType added in v6.42.0 

func (AiEndpointDeployedModelAutomaticResourceArgs) ElementType() reflect.Type

func (AiEndpointDeployedModelAutomaticResourceArgs) ToAiEndpointDeployedModelAutomaticResourceOutput added in v6.42.0 

func (i AiEndpointDeployedModelAutomaticResourceArgs) ToAiEndpointDeployedModelAutomaticResourceOutput() AiEndpointDeployedModelAutomaticResourceOutput

func (AiEndpointDeployedModelAutomaticResourceArgs) ToAiEndpointDeployedModelAutomaticResourceOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelAutomaticResourceArray added in v6.42.0 

type AiEndpointDeployedModelAutomaticResourceArray []AiEndpointDeployedModelAutomaticResourceInput

func (AiEndpointDeployedModelAutomaticResourceArray) ElementType added in v6.42.0 

func (AiEndpointDeployedModelAutomaticResourceArray) ElementType() reflect.Type

func (AiEndpointDeployedModelAutomaticResourceArray) ToAiEndpointDeployedModelAutomaticResourceArrayOutput added in v6.42.0 

func (i AiEndpointDeployedModelAutomaticResourceArray) ToAiEndpointDeployedModelAutomaticResourceArrayOutput() AiEndpointDeployedModelAutomaticResourceArrayOutput

func (AiEndpointDeployedModelAutomaticResourceArray) ToAiEndpointDeployedModelAutomaticResourceArrayOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelAutomaticResourceArrayInput added in v6.42.0 

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 added in v6.42.0 

type AiEndpointDeployedModelAutomaticResourceArrayOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelAutomaticResourceArrayOutput) ElementType added in v6.42.0 

func (AiEndpointDeployedModelAutomaticResourceArrayOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelAutomaticResourceArrayOutput) Index added in v6.42.0 

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

func (AiEndpointDeployedModelAutomaticResourceArrayOutput) ToAiEndpointDeployedModelAutomaticResourceArrayOutput added in v6.42.0 

func (o AiEndpointDeployedModelAutomaticResourceArrayOutput) ToAiEndpointDeployedModelAutomaticResourceArrayOutput() AiEndpointDeployedModelAutomaticResourceArrayOutput

func (AiEndpointDeployedModelAutomaticResourceArrayOutput) ToAiEndpointDeployedModelAutomaticResourceArrayOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelAutomaticResourceInput added in v6.42.0 

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 added in v6.42.0 

type AiEndpointDeployedModelAutomaticResourceOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelAutomaticResourceOutput) ElementType added in v6.42.0 

func (AiEndpointDeployedModelAutomaticResourceOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelAutomaticResourceOutput) MaxReplicaCount added in v6.42.0 

func (o AiEndpointDeployedModelAutomaticResourceOutput) MaxReplicaCount() pulumi.IntPtrOutput

func (AiEndpointDeployedModelAutomaticResourceOutput) MinReplicaCount added in v6.42.0 

func (o AiEndpointDeployedModelAutomaticResourceOutput) MinReplicaCount() pulumi.IntPtrOutput

func (AiEndpointDeployedModelAutomaticResourceOutput) ToAiEndpointDeployedModelAutomaticResourceOutput added in v6.42.0 

func (o AiEndpointDeployedModelAutomaticResourceOutput) ToAiEndpointDeployedModelAutomaticResourceOutput() AiEndpointDeployedModelAutomaticResourceOutput

func (AiEndpointDeployedModelAutomaticResourceOutput) ToAiEndpointDeployedModelAutomaticResourceOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelDedicatedResource added in v6.42.0 

type AiEndpointDeployedModelDedicatedResource struct {
	AutoscalingMetricSpecs []AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpec `pulumi:"autoscalingMetricSpecs"`
	MachineSpecs           []AiEndpointDeployedModelDedicatedResourceMachineSpec           `pulumi:"machineSpecs"`
	MaxReplicaCount        *int                                                            `pulumi:"maxReplicaCount"`
	MinReplicaCount        *int                                                            `pulumi:"minReplicaCount"`
}

type AiEndpointDeployedModelDedicatedResourceArgs added in v6.42.0 

type AiEndpointDeployedModelDedicatedResourceArgs struct {
	AutoscalingMetricSpecs AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayInput `pulumi:"autoscalingMetricSpecs"`
	MachineSpecs           AiEndpointDeployedModelDedicatedResourceMachineSpecArrayInput           `pulumi:"machineSpecs"`
	MaxReplicaCount        pulumi.IntPtrInput                                                      `pulumi:"maxReplicaCount"`
	MinReplicaCount        pulumi.IntPtrInput                                                      `pulumi:"minReplicaCount"`
}

func (AiEndpointDeployedModelDedicatedResourceArgs) ElementType added in v6.42.0 

func (AiEndpointDeployedModelDedicatedResourceArgs) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceArgs) ToAiEndpointDeployedModelDedicatedResourceOutput added in v6.42.0 

func (i AiEndpointDeployedModelDedicatedResourceArgs) ToAiEndpointDeployedModelDedicatedResourceOutput() AiEndpointDeployedModelDedicatedResourceOutput

func (AiEndpointDeployedModelDedicatedResourceArgs) ToAiEndpointDeployedModelDedicatedResourceOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelDedicatedResourceArray added in v6.42.0 

type AiEndpointDeployedModelDedicatedResourceArray []AiEndpointDeployedModelDedicatedResourceInput

func (AiEndpointDeployedModelDedicatedResourceArray) ElementType added in v6.42.0 

func (AiEndpointDeployedModelDedicatedResourceArray) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceArray) ToAiEndpointDeployedModelDedicatedResourceArrayOutput added in v6.42.0 

func (i AiEndpointDeployedModelDedicatedResourceArray) ToAiEndpointDeployedModelDedicatedResourceArrayOutput() AiEndpointDeployedModelDedicatedResourceArrayOutput

func (AiEndpointDeployedModelDedicatedResourceArray) ToAiEndpointDeployedModelDedicatedResourceArrayOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelDedicatedResourceArrayInput added in v6.42.0 

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 added in v6.42.0 

type AiEndpointDeployedModelDedicatedResourceArrayOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelDedicatedResourceArrayOutput) ElementType added in v6.42.0 

func (AiEndpointDeployedModelDedicatedResourceArrayOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceArrayOutput) Index added in v6.42.0 

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

func (AiEndpointDeployedModelDedicatedResourceArrayOutput) ToAiEndpointDeployedModelDedicatedResourceArrayOutput added in v6.42.0 

func (o AiEndpointDeployedModelDedicatedResourceArrayOutput) ToAiEndpointDeployedModelDedicatedResourceArrayOutput() AiEndpointDeployedModelDedicatedResourceArrayOutput

func (AiEndpointDeployedModelDedicatedResourceArrayOutput) ToAiEndpointDeployedModelDedicatedResourceArrayOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpec added in v6.42.0 

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpec struct {
	MetricName *string `pulumi:"metricName"`
	Target     *int    `pulumi:"target"`
}

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArgs added in v6.42.0 

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArgs struct {
	MetricName pulumi.StringPtrInput `pulumi:"metricName"`
	Target     pulumi.IntPtrInput    `pulumi:"target"`
}

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArgs) ElementType added in v6.42.0 

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArgs) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArgs) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput added in v6.42.0 

func (i AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArgs) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput() AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArgs) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArray added in v6.42.0 

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArray []AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecInput

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArray) ElementType added in v6.42.0 

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArray) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArray) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput added in v6.42.0 

func (i AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArray) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput() AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArray) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayInput added in v6.42.0 

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 added in v6.42.0 

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput) ElementType added in v6.42.0 

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput) Index added in v6.42.0 

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

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput added in v6.42.0 

func (o AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput() AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecInput added in v6.42.0 

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 added in v6.42.0 

type AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput) ElementType added in v6.42.0 

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput) MetricName added in v6.42.0 

func (o AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput) MetricName() pulumi.StringPtrOutput

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput) Target added in v6.42.0 

func (o AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput) Target() pulumi.IntPtrOutput

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput added in v6.42.0 

func (o AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput() AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput

func (AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutput) ToAiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelDedicatedResourceInput added in v6.42.0 

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 added in v6.42.0 

type AiEndpointDeployedModelDedicatedResourceMachineSpec struct {
	AcceleratorCount *int    `pulumi:"acceleratorCount"`
	AcceleratorType  *string `pulumi:"acceleratorType"`
	MachineType      *string `pulumi:"machineType"`
}

type AiEndpointDeployedModelDedicatedResourceMachineSpecArgs added in v6.42.0 

type AiEndpointDeployedModelDedicatedResourceMachineSpecArgs struct {
	AcceleratorCount pulumi.IntPtrInput    `pulumi:"acceleratorCount"`
	AcceleratorType  pulumi.StringPtrInput `pulumi:"acceleratorType"`
	MachineType      pulumi.StringPtrInput `pulumi:"machineType"`
}

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArgs) ElementType added in v6.42.0 

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArgs) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArgs) ToAiEndpointDeployedModelDedicatedResourceMachineSpecOutput added in v6.42.0 

func (i AiEndpointDeployedModelDedicatedResourceMachineSpecArgs) ToAiEndpointDeployedModelDedicatedResourceMachineSpecOutput() AiEndpointDeployedModelDedicatedResourceMachineSpecOutput

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArgs) ToAiEndpointDeployedModelDedicatedResourceMachineSpecOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelDedicatedResourceMachineSpecArray added in v6.42.0 

type AiEndpointDeployedModelDedicatedResourceMachineSpecArray []AiEndpointDeployedModelDedicatedResourceMachineSpecInput

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArray) ElementType added in v6.42.0 

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArray) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArray) ToAiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput added in v6.42.0 

func (i AiEndpointDeployedModelDedicatedResourceMachineSpecArray) ToAiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput() AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArray) ToAiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelDedicatedResourceMachineSpecArrayInput added in v6.42.0 

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 added in v6.42.0 

type AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput) ElementType added in v6.42.0 

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput) Index added in v6.42.0 

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

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput) ToAiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput added in v6.42.0 

func (o AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput) ToAiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput() AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput

func (AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput) ToAiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelDedicatedResourceMachineSpecInput added in v6.42.0 

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 added in v6.42.0 

type AiEndpointDeployedModelDedicatedResourceMachineSpecOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) AcceleratorCount added in v6.42.0 

func (o AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) AcceleratorCount() pulumi.IntPtrOutput

func (AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) AcceleratorType added in v6.42.0 

func (o AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) AcceleratorType() pulumi.StringPtrOutput

func (AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) ElementType added in v6.42.0 

func (AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) MachineType added in v6.42.0 

func (o AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) MachineType() pulumi.StringPtrOutput

func (AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) ToAiEndpointDeployedModelDedicatedResourceMachineSpecOutput added in v6.42.0 

func (o AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) ToAiEndpointDeployedModelDedicatedResourceMachineSpecOutput() AiEndpointDeployedModelDedicatedResourceMachineSpecOutput

func (AiEndpointDeployedModelDedicatedResourceMachineSpecOutput) ToAiEndpointDeployedModelDedicatedResourceMachineSpecOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelDedicatedResourceOutput added in v6.42.0 

type AiEndpointDeployedModelDedicatedResourceOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelDedicatedResourceOutput) AutoscalingMetricSpecs added in v6.42.0 

func (o AiEndpointDeployedModelDedicatedResourceOutput) AutoscalingMetricSpecs() AiEndpointDeployedModelDedicatedResourceAutoscalingMetricSpecArrayOutput

func (AiEndpointDeployedModelDedicatedResourceOutput) ElementType added in v6.42.0 

func (AiEndpointDeployedModelDedicatedResourceOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelDedicatedResourceOutput) MachineSpecs added in v6.42.0 

func (o AiEndpointDeployedModelDedicatedResourceOutput) MachineSpecs() AiEndpointDeployedModelDedicatedResourceMachineSpecArrayOutput

func (AiEndpointDeployedModelDedicatedResourceOutput) MaxReplicaCount added in v6.42.0 

func (o AiEndpointDeployedModelDedicatedResourceOutput) MaxReplicaCount() pulumi.IntPtrOutput

func (AiEndpointDeployedModelDedicatedResourceOutput) MinReplicaCount added in v6.42.0 

func (o AiEndpointDeployedModelDedicatedResourceOutput) MinReplicaCount() pulumi.IntPtrOutput

func (AiEndpointDeployedModelDedicatedResourceOutput) ToAiEndpointDeployedModelDedicatedResourceOutput added in v6.42.0 

func (o AiEndpointDeployedModelDedicatedResourceOutput) ToAiEndpointDeployedModelDedicatedResourceOutput() AiEndpointDeployedModelDedicatedResourceOutput

func (AiEndpointDeployedModelDedicatedResourceOutput) ToAiEndpointDeployedModelDedicatedResourceOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelInput added in v6.42.0 

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 added in v6.42.0 

type AiEndpointDeployedModelOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelOutput) AutomaticResources added in v6.42.0 

func (o AiEndpointDeployedModelOutput) AutomaticResources() AiEndpointDeployedModelAutomaticResourceArrayOutput

func (AiEndpointDeployedModelOutput) CreateTime added in v6.42.0 

func (o AiEndpointDeployedModelOutput) CreateTime() pulumi.StringPtrOutput

func (AiEndpointDeployedModelOutput) DedicatedResources added in v6.42.0 

func (o AiEndpointDeployedModelOutput) DedicatedResources() AiEndpointDeployedModelDedicatedResourceArrayOutput

func (AiEndpointDeployedModelOutput) DisplayName added in v6.42.0 

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 added in v6.42.0 

func (AiEndpointDeployedModelOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelOutput) EnableAccessLogging added in v6.42.0 

func (o AiEndpointDeployedModelOutput) EnableAccessLogging() pulumi.BoolPtrOutput

func (AiEndpointDeployedModelOutput) EnableContainerLogging added in v6.42.0 

func (o AiEndpointDeployedModelOutput) EnableContainerLogging() pulumi.BoolPtrOutput

func (AiEndpointDeployedModelOutput) Id added in v6.42.0 

func (o AiEndpointDeployedModelOutput) Id() pulumi.StringPtrOutput

an identifier for the resource with format `projects/{{project}}/locations/{{location}}/endpoints/{{name}}`

func (AiEndpointDeployedModelOutput) Model added in v6.42.0 

func (o AiEndpointDeployedModelOutput) Model() pulumi.StringPtrOutput

func (AiEndpointDeployedModelOutput) ModelVersionId added in v6.42.0 

func (o AiEndpointDeployedModelOutput) ModelVersionId() pulumi.StringPtrOutput

func (AiEndpointDeployedModelOutput) PrivateEndpoints added in v6.42.0 

func (o AiEndpointDeployedModelOutput) PrivateEndpoints() AiEndpointDeployedModelPrivateEndpointArrayOutput

func (AiEndpointDeployedModelOutput) ServiceAccount added in v6.42.0 

func (o AiEndpointDeployedModelOutput) ServiceAccount() pulumi.StringPtrOutput

func (AiEndpointDeployedModelOutput) SharedResources added in v6.42.0 

func (o AiEndpointDeployedModelOutput) SharedResources() pulumi.StringPtrOutput

func (AiEndpointDeployedModelOutput) ToAiEndpointDeployedModelOutput added in v6.42.0 

func (o AiEndpointDeployedModelOutput) ToAiEndpointDeployedModelOutput() AiEndpointDeployedModelOutput

func (AiEndpointDeployedModelOutput) ToAiEndpointDeployedModelOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelPrivateEndpoint added in v6.42.0 

type AiEndpointDeployedModelPrivateEndpoint struct {
	ExplainHttpUri    *string `pulumi:"explainHttpUri"`
	HealthHttpUri     *string `pulumi:"healthHttpUri"`
	PredictHttpUri    *string `pulumi:"predictHttpUri"`
	ServiceAttachment *string `pulumi:"serviceAttachment"`
}

type AiEndpointDeployedModelPrivateEndpointArgs added in v6.42.0 

type AiEndpointDeployedModelPrivateEndpointArgs struct {
	ExplainHttpUri    pulumi.StringPtrInput `pulumi:"explainHttpUri"`
	HealthHttpUri     pulumi.StringPtrInput `pulumi:"healthHttpUri"`
	PredictHttpUri    pulumi.StringPtrInput `pulumi:"predictHttpUri"`
	ServiceAttachment pulumi.StringPtrInput `pulumi:"serviceAttachment"`
}

func (AiEndpointDeployedModelPrivateEndpointArgs) ElementType added in v6.42.0 

func (AiEndpointDeployedModelPrivateEndpointArgs) ElementType() reflect.Type

func (AiEndpointDeployedModelPrivateEndpointArgs) ToAiEndpointDeployedModelPrivateEndpointOutput added in v6.42.0 

func (i AiEndpointDeployedModelPrivateEndpointArgs) ToAiEndpointDeployedModelPrivateEndpointOutput() AiEndpointDeployedModelPrivateEndpointOutput

func (AiEndpointDeployedModelPrivateEndpointArgs) ToAiEndpointDeployedModelPrivateEndpointOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelPrivateEndpointArray added in v6.42.0 

type AiEndpointDeployedModelPrivateEndpointArray []AiEndpointDeployedModelPrivateEndpointInput

func (AiEndpointDeployedModelPrivateEndpointArray) ElementType added in v6.42.0 

func (AiEndpointDeployedModelPrivateEndpointArray) ElementType() reflect.Type

func (AiEndpointDeployedModelPrivateEndpointArray) ToAiEndpointDeployedModelPrivateEndpointArrayOutput added in v6.42.0 

func (i AiEndpointDeployedModelPrivateEndpointArray) ToAiEndpointDeployedModelPrivateEndpointArrayOutput() AiEndpointDeployedModelPrivateEndpointArrayOutput

func (AiEndpointDeployedModelPrivateEndpointArray) ToAiEndpointDeployedModelPrivateEndpointArrayOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelPrivateEndpointArrayInput added in v6.42.0 

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 added in v6.42.0 

type AiEndpointDeployedModelPrivateEndpointArrayOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelPrivateEndpointArrayOutput) ElementType added in v6.42.0 

func (AiEndpointDeployedModelPrivateEndpointArrayOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelPrivateEndpointArrayOutput) Index added in v6.42.0 

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

func (AiEndpointDeployedModelPrivateEndpointArrayOutput) ToAiEndpointDeployedModelPrivateEndpointArrayOutput added in v6.42.0 

func (o AiEndpointDeployedModelPrivateEndpointArrayOutput) ToAiEndpointDeployedModelPrivateEndpointArrayOutput() AiEndpointDeployedModelPrivateEndpointArrayOutput

func (AiEndpointDeployedModelPrivateEndpointArrayOutput) ToAiEndpointDeployedModelPrivateEndpointArrayOutputWithContext added in v6.42.0 

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

type AiEndpointDeployedModelPrivateEndpointInput added in v6.42.0 

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 added in v6.42.0 

type AiEndpointDeployedModelPrivateEndpointOutput struct{ *pulumi.OutputState }

func (AiEndpointDeployedModelPrivateEndpointOutput) ElementType added in v6.42.0 

func (AiEndpointDeployedModelPrivateEndpointOutput) ElementType() reflect.Type

func (AiEndpointDeployedModelPrivateEndpointOutput) ExplainHttpUri added in v6.42.0 

func (o AiEndpointDeployedModelPrivateEndpointOutput) ExplainHttpUri() pulumi.StringPtrOutput

func (AiEndpointDeployedModelPrivateEndpointOutput) HealthHttpUri added in v6.42.0 

func (o AiEndpointDeployedModelPrivateEndpointOutput) HealthHttpUri() pulumi.StringPtrOutput

func (AiEndpointDeployedModelPrivateEndpointOutput) PredictHttpUri added in v6.42.0 

func (o AiEndpointDeployedModelPrivateEndpointOutput) PredictHttpUri() pulumi.StringPtrOutput

func (AiEndpointDeployedModelPrivateEndpointOutput) ServiceAttachment added in v6.42.0 

func (o AiEndpointDeployedModelPrivateEndpointOutput) ServiceAttachment() pulumi.StringPtrOutput

func (AiEndpointDeployedModelPrivateEndpointOutput) ToAiEndpointDeployedModelPrivateEndpointOutput added in v6.42.0 

func (o AiEndpointDeployedModelPrivateEndpointOutput) ToAiEndpointDeployedModelPrivateEndpointOutput() AiEndpointDeployedModelPrivateEndpointOutput

func (AiEndpointDeployedModelPrivateEndpointOutput) ToAiEndpointDeployedModelPrivateEndpointOutputWithContext added in v6.42.0 

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

type AiEndpointEncryptionSpec added in v6.42.0 

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 added in v6.42.0 

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 added in v6.42.0 

func (AiEndpointEncryptionSpecArgs) ElementType() reflect.Type

func (AiEndpointEncryptionSpecArgs) ToAiEndpointEncryptionSpecOutput added in v6.42.0 

func (i AiEndpointEncryptionSpecArgs) ToAiEndpointEncryptionSpecOutput() AiEndpointEncryptionSpecOutput

func (AiEndpointEncryptionSpecArgs) ToAiEndpointEncryptionSpecOutputWithContext added in v6.42.0 

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

func (AiEndpointEncryptionSpecArgs) ToAiEndpointEncryptionSpecPtrOutput added in v6.42.0 

func (i AiEndpointEncryptionSpecArgs) ToAiEndpointEncryptionSpecPtrOutput() AiEndpointEncryptionSpecPtrOutput

func (AiEndpointEncryptionSpecArgs) ToAiEndpointEncryptionSpecPtrOutputWithContext added in v6.42.0 

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

type AiEndpointEncryptionSpecInput added in v6.42.0 

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 added in v6.42.0 

type AiEndpointEncryptionSpecOutput struct{ *pulumi.OutputState }

func (AiEndpointEncryptionSpecOutput) ElementType added in v6.42.0 

func (AiEndpointEncryptionSpecOutput) ElementType() reflect.Type

func (AiEndpointEncryptionSpecOutput) KmsKeyName added in v6.42.0 

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 added in v6.42.0 

func (o AiEndpointEncryptionSpecOutput) ToAiEndpointEncryptionSpecOutput() AiEndpointEncryptionSpecOutput

func (AiEndpointEncryptionSpecOutput) ToAiEndpointEncryptionSpecOutputWithContext added in v6.42.0 

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

func (AiEndpointEncryptionSpecOutput) ToAiEndpointEncryptionSpecPtrOutput added in v6.42.0 

func (o AiEndpointEncryptionSpecOutput) ToAiEndpointEncryptionSpecPtrOutput() AiEndpointEncryptionSpecPtrOutput

func (AiEndpointEncryptionSpecOutput) ToAiEndpointEncryptionSpecPtrOutputWithContext added in v6.42.0 

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

type AiEndpointEncryptionSpecPtrInput added in v6.42.0 

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 added in v6.42.0 

func AiEndpointEncryptionSpecPtr(v *AiEndpointEncryptionSpecArgs) AiEndpointEncryptionSpecPtrInput

type AiEndpointEncryptionSpecPtrOutput added in v6.42.0 

type AiEndpointEncryptionSpecPtrOutput struct{ *pulumi.OutputState }

func (AiEndpointEncryptionSpecPtrOutput) Elem added in v6.42.0 

func (o AiEndpointEncryptionSpecPtrOutput) Elem() AiEndpointEncryptionSpecOutput

func (AiEndpointEncryptionSpecPtrOutput) ElementType added in v6.42.0 

func (AiEndpointEncryptionSpecPtrOutput) ElementType() reflect.Type

func (AiEndpointEncryptionSpecPtrOutput) KmsKeyName added in v6.42.0 

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 added in v6.42.0 

func (o AiEndpointEncryptionSpecPtrOutput) ToAiEndpointEncryptionSpecPtrOutput() AiEndpointEncryptionSpecPtrOutput

func (AiEndpointEncryptionSpecPtrOutput) ToAiEndpointEncryptionSpecPtrOutputWithContext added in v6.42.0 

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

type AiEndpointInput added in v6.42.0 

type AiEndpointInput interface {
	pulumi.Input

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

type AiEndpointMap added in v6.42.0 

type AiEndpointMap map[string]AiEndpointInput

func (AiEndpointMap) ElementType added in v6.42.0 

func (AiEndpointMap) ElementType() reflect.Type

func (AiEndpointMap) ToAiEndpointMapOutput added in v6.42.0 

func (i AiEndpointMap) ToAiEndpointMapOutput() AiEndpointMapOutput

func (AiEndpointMap) ToAiEndpointMapOutputWithContext added in v6.42.0 

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

type AiEndpointMapInput added in v6.42.0 

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 added in v6.42.0 

type AiEndpointMapOutput struct{ *pulumi.OutputState }

func (AiEndpointMapOutput) ElementType added in v6.42.0 

func (AiEndpointMapOutput) ElementType() reflect.Type

func (AiEndpointMapOutput) MapIndex added in v6.42.0 

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

func (AiEndpointMapOutput) ToAiEndpointMapOutput added in v6.42.0 

func (o AiEndpointMapOutput) ToAiEndpointMapOutput() AiEndpointMapOutput

func (AiEndpointMapOutput) ToAiEndpointMapOutputWithContext added in v6.42.0 

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

type AiEndpointOutput added in v6.42.0 

type AiEndpointOutput struct{ *pulumi.OutputState }

func (AiEndpointOutput) CreateTime added in v6.42.0 

func (o AiEndpointOutput) CreateTime() pulumi.StringOutput

Output only. Timestamp when this Endpoint was created.

func (AiEndpointOutput) DeployedModels added in v6.42.0 

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/).

func (AiEndpointOutput) Description added in v6.42.0 

func (o AiEndpointOutput) Description() pulumi.StringPtrOutput

The description of the Endpoint.

func (AiEndpointOutput) DisplayName added in v6.42.0 

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) ElementType added in v6.42.0 

func (AiEndpointOutput) ElementType() reflect.Type

func (AiEndpointOutput) EncryptionSpec added in v6.42.0 

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 added in v6.42.0 

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 added in v6.42.0 

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.

func (AiEndpointOutput) Location added in v6.42.0 

func (o AiEndpointOutput) Location() pulumi.StringOutput

The location for the resource

func (AiEndpointOutput) ModelDeploymentMonitoringJob added in v6.42.0 

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 added in v6.42.0 

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 added in v6.42.0 

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 added in v6.42.0 

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) ToAiEndpointOutput added in v6.42.0 

func (o AiEndpointOutput) ToAiEndpointOutput() AiEndpointOutput

func (AiEndpointOutput) ToAiEndpointOutputWithContext added in v6.42.0 

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

func (AiEndpointOutput) UpdateTime added in v6.42.0 

func (o AiEndpointOutput) UpdateTime() pulumi.StringOutput

Output only. Timestamp when this Endpoint was last updated.

type AiEndpointState added in v6.42.0 

type AiEndpointState struct {
	// Output only. Timestamp when this Endpoint 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/).
	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
	// 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.
	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
	// Output only. Timestamp when this Endpoint was last updated.
	UpdateTime pulumi.StringPtrInput
}

func (AiEndpointState) ElementType added in v6.42.0 

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"`
	// 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.
	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"`
	// 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 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/v6/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
	})
}

```

## Import

Featurestore can be imported using any of these accepted formats

```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.
	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
	// 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 added in v6.38.0 

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 added in v6.38.0 

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 added in v6.38.0 

func (AiFeatureStoreEncryptionSpecArgs) ElementType() reflect.Type

func (AiFeatureStoreEncryptionSpecArgs) ToAiFeatureStoreEncryptionSpecOutput added in v6.38.0 

func (i AiFeatureStoreEncryptionSpecArgs) ToAiFeatureStoreEncryptionSpecOutput() AiFeatureStoreEncryptionSpecOutput

func (AiFeatureStoreEncryptionSpecArgs) ToAiFeatureStoreEncryptionSpecOutputWithContext added in v6.38.0 

func (i AiFeatureStoreEncryptionSpecArgs) ToAiFeatureStoreEncryptionSpecOutputWithContext(ctx context.Context) AiFeatureStoreEncryptionSpecOutput

func (AiFeatureStoreEncryptionSpecArgs) ToAiFeatureStoreEncryptionSpecPtrOutput added in v6.38.0 

func (i AiFeatureStoreEncryptionSpecArgs) ToAiFeatureStoreEncryptionSpecPtrOutput() AiFeatureStoreEncryptionSpecPtrOutput

func (AiFeatureStoreEncryptionSpecArgs) ToAiFeatureStoreEncryptionSpecPtrOutputWithContext added in v6.38.0 

func (i AiFeatureStoreEncryptionSpecArgs) ToAiFeatureStoreEncryptionSpecPtrOutputWithContext(ctx context.Context) AiFeatureStoreEncryptionSpecPtrOutput

type AiFeatureStoreEncryptionSpecInput added in v6.38.0 

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 added in v6.38.0 

type AiFeatureStoreEncryptionSpecOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEncryptionSpecOutput) ElementType added in v6.38.0 

func (AiFeatureStoreEncryptionSpecOutput) ElementType() reflect.Type

func (AiFeatureStoreEncryptionSpecOutput) KmsKeyName added in v6.38.0 

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 added in v6.38.0 

func (o AiFeatureStoreEncryptionSpecOutput) ToAiFeatureStoreEncryptionSpecOutput() AiFeatureStoreEncryptionSpecOutput

func (AiFeatureStoreEncryptionSpecOutput) ToAiFeatureStoreEncryptionSpecOutputWithContext added in v6.38.0 

func (o AiFeatureStoreEncryptionSpecOutput) ToAiFeatureStoreEncryptionSpecOutputWithContext(ctx context.Context) AiFeatureStoreEncryptionSpecOutput

func (AiFeatureStoreEncryptionSpecOutput) ToAiFeatureStoreEncryptionSpecPtrOutput added in v6.38.0 

func (o AiFeatureStoreEncryptionSpecOutput) ToAiFeatureStoreEncryptionSpecPtrOutput() AiFeatureStoreEncryptionSpecPtrOutput

func (AiFeatureStoreEncryptionSpecOutput) ToAiFeatureStoreEncryptionSpecPtrOutputWithContext added in v6.38.0 

func (o AiFeatureStoreEncryptionSpecOutput) ToAiFeatureStoreEncryptionSpecPtrOutputWithContext(ctx context.Context) AiFeatureStoreEncryptionSpecPtrOutput

type AiFeatureStoreEncryptionSpecPtrInput added in v6.38.0 

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 added in v6.38.0 

func AiFeatureStoreEncryptionSpecPtr(v *AiFeatureStoreEncryptionSpecArgs) AiFeatureStoreEncryptionSpecPtrInput

type AiFeatureStoreEncryptionSpecPtrOutput added in v6.38.0 

type AiFeatureStoreEncryptionSpecPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEncryptionSpecPtrOutput) Elem added in v6.38.0 

func (o AiFeatureStoreEncryptionSpecPtrOutput) Elem() AiFeatureStoreEncryptionSpecOutput

func (AiFeatureStoreEncryptionSpecPtrOutput) ElementType added in v6.38.0 

func (AiFeatureStoreEncryptionSpecPtrOutput) ElementType() reflect.Type

func (AiFeatureStoreEncryptionSpecPtrOutput) KmsKeyName added in v6.38.0 

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 added in v6.38.0 

func (o AiFeatureStoreEncryptionSpecPtrOutput) ToAiFeatureStoreEncryptionSpecPtrOutput() AiFeatureStoreEncryptionSpecPtrOutput

func (AiFeatureStoreEncryptionSpecPtrOutput) ToAiFeatureStoreEncryptionSpecPtrOutputWithContext added in v6.38.0 

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"`
	// 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.
	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"`
	// 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/v6/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"),
			},
			Featurestore: featurestore.ID(),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

```go package main

import ( 

"github.com/pulumi/pulumi-gcp/sdk/v6/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"),
				},
			},
		}, pulumi.Provider(google_beta))
		if err != nil {
			return err
		}
		return nil
	})
}

```

## Import

FeaturestoreEntitytype can be imported using any of these accepted formats

```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 {
	// 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.
	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
}

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 added in v6.41.0 

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"`
	// 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.
	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 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/v6/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/v6/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"),
				},
			},
		}, 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

```sh 

$ pulumi import gcp:vertex/aiFeatureStoreEntityTypeFeature:AiFeatureStoreEntityTypeFeature default {{entitytype}}/features/{{name}}

```

func GetAiFeatureStoreEntityTypeFeature added in v6.41.0 

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 added in v6.41.0 

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 added in v6.41.0 

func (*AiFeatureStoreEntityTypeFeature) ElementType() reflect.Type

func (*AiFeatureStoreEntityTypeFeature) ToAiFeatureStoreEntityTypeFeatureOutput added in v6.41.0 

func (i *AiFeatureStoreEntityTypeFeature) ToAiFeatureStoreEntityTypeFeatureOutput() AiFeatureStoreEntityTypeFeatureOutput

func (*AiFeatureStoreEntityTypeFeature) ToAiFeatureStoreEntityTypeFeatureOutputWithContext added in v6.41.0 

func (i *AiFeatureStoreEntityTypeFeature) ToAiFeatureStoreEntityTypeFeatureOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeFeatureOutput

type AiFeatureStoreEntityTypeFeatureArgs added in v6.41.0 

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.
	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 added in v6.41.0 

func (AiFeatureStoreEntityTypeFeatureArgs) ElementType() reflect.Type

type AiFeatureStoreEntityTypeFeatureArray added in v6.41.0 

type AiFeatureStoreEntityTypeFeatureArray []AiFeatureStoreEntityTypeFeatureInput

func (AiFeatureStoreEntityTypeFeatureArray) ElementType added in v6.41.0 

func (AiFeatureStoreEntityTypeFeatureArray) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeFeatureArray) ToAiFeatureStoreEntityTypeFeatureArrayOutput added in v6.41.0 

func (i AiFeatureStoreEntityTypeFeatureArray) ToAiFeatureStoreEntityTypeFeatureArrayOutput() AiFeatureStoreEntityTypeFeatureArrayOutput

func (AiFeatureStoreEntityTypeFeatureArray) ToAiFeatureStoreEntityTypeFeatureArrayOutputWithContext added in v6.41.0 

func (i AiFeatureStoreEntityTypeFeatureArray) ToAiFeatureStoreEntityTypeFeatureArrayOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeFeatureArrayOutput

type AiFeatureStoreEntityTypeFeatureArrayInput added in v6.41.0 

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 added in v6.41.0 

type AiFeatureStoreEntityTypeFeatureArrayOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeFeatureArrayOutput) ElementType added in v6.41.0 

func (AiFeatureStoreEntityTypeFeatureArrayOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeFeatureArrayOutput) Index added in v6.41.0 

func (o AiFeatureStoreEntityTypeFeatureArrayOutput) Index(i pulumi.IntInput) AiFeatureStoreEntityTypeFeatureOutput

func (AiFeatureStoreEntityTypeFeatureArrayOutput) ToAiFeatureStoreEntityTypeFeatureArrayOutput added in v6.41.0 

func (o AiFeatureStoreEntityTypeFeatureArrayOutput) ToAiFeatureStoreEntityTypeFeatureArrayOutput() AiFeatureStoreEntityTypeFeatureArrayOutput

func (AiFeatureStoreEntityTypeFeatureArrayOutput) ToAiFeatureStoreEntityTypeFeatureArrayOutputWithContext added in v6.41.0 

func (o AiFeatureStoreEntityTypeFeatureArrayOutput) ToAiFeatureStoreEntityTypeFeatureArrayOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeFeatureArrayOutput

type AiFeatureStoreEntityTypeFeatureInput added in v6.41.0 

type AiFeatureStoreEntityTypeFeatureInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypeFeatureOutput() AiFeatureStoreEntityTypeFeatureOutput
	ToAiFeatureStoreEntityTypeFeatureOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeFeatureOutput
}

type AiFeatureStoreEntityTypeFeatureMap added in v6.41.0 

type AiFeatureStoreEntityTypeFeatureMap map[string]AiFeatureStoreEntityTypeFeatureInput

func (AiFeatureStoreEntityTypeFeatureMap) ElementType added in v6.41.0 

func (AiFeatureStoreEntityTypeFeatureMap) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeFeatureMap) ToAiFeatureStoreEntityTypeFeatureMapOutput added in v6.41.0 

func (i AiFeatureStoreEntityTypeFeatureMap) ToAiFeatureStoreEntityTypeFeatureMapOutput() AiFeatureStoreEntityTypeFeatureMapOutput

func (AiFeatureStoreEntityTypeFeatureMap) ToAiFeatureStoreEntityTypeFeatureMapOutputWithContext added in v6.41.0 

func (i AiFeatureStoreEntityTypeFeatureMap) ToAiFeatureStoreEntityTypeFeatureMapOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeFeatureMapOutput

type AiFeatureStoreEntityTypeFeatureMapInput added in v6.41.0 

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 added in v6.41.0 

type AiFeatureStoreEntityTypeFeatureMapOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeFeatureMapOutput) ElementType added in v6.41.0 

func (AiFeatureStoreEntityTypeFeatureMapOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeFeatureMapOutput) MapIndex added in v6.41.0 

func (o AiFeatureStoreEntityTypeFeatureMapOutput) MapIndex(k pulumi.StringInput) AiFeatureStoreEntityTypeFeatureOutput

func (AiFeatureStoreEntityTypeFeatureMapOutput) ToAiFeatureStoreEntityTypeFeatureMapOutput added in v6.41.0 

func (o AiFeatureStoreEntityTypeFeatureMapOutput) ToAiFeatureStoreEntityTypeFeatureMapOutput() AiFeatureStoreEntityTypeFeatureMapOutput

func (AiFeatureStoreEntityTypeFeatureMapOutput) ToAiFeatureStoreEntityTypeFeatureMapOutputWithContext added in v6.41.0 

func (o AiFeatureStoreEntityTypeFeatureMapOutput) ToAiFeatureStoreEntityTypeFeatureMapOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeFeatureMapOutput

type AiFeatureStoreEntityTypeFeatureOutput added in v6.41.0 

type AiFeatureStoreEntityTypeFeatureOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeFeatureOutput) CreateTime added in v6.41.0 

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 added in v6.41.0 

func (o AiFeatureStoreEntityTypeFeatureOutput) Description() pulumi.StringPtrOutput

Description of the feature.

func (AiFeatureStoreEntityTypeFeatureOutput) ElementType added in v6.41.0 

func (AiFeatureStoreEntityTypeFeatureOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeFeatureOutput) Entitytype added in v6.41.0 

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 added in v6.41.0 

func (o AiFeatureStoreEntityTypeFeatureOutput) Etag() pulumi.StringOutput

Used to perform consistent read-modify-write updates.

func (AiFeatureStoreEntityTypeFeatureOutput) Labels added in v6.41.0 

func (o AiFeatureStoreEntityTypeFeatureOutput) Labels() pulumi.StringMapOutput

A set of key/value label pairs to assign to the feature.

func (AiFeatureStoreEntityTypeFeatureOutput) Name added in v6.41.0 

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) ToAiFeatureStoreEntityTypeFeatureOutput added in v6.41.0 

func (o AiFeatureStoreEntityTypeFeatureOutput) ToAiFeatureStoreEntityTypeFeatureOutput() AiFeatureStoreEntityTypeFeatureOutput

func (AiFeatureStoreEntityTypeFeatureOutput) ToAiFeatureStoreEntityTypeFeatureOutputWithContext added in v6.41.0 

func (o AiFeatureStoreEntityTypeFeatureOutput) ToAiFeatureStoreEntityTypeFeatureOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeFeatureOutput

func (AiFeatureStoreEntityTypeFeatureOutput) UpdateTime added in v6.41.0 

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 added in v6.41.0 

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 added in v6.41.0 

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
	// 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.
	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 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 added in v6.41.0 

func (AiFeatureStoreEntityTypeFeatureState) 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 {
	// Configuration of how features in Featurestore are monitored.
	// Structure is documented below.
	SnapshotAnalysis *AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysis `pulumi:"snapshotAnalysis"`
}

type AiFeatureStoreEntityTypeMonitoringConfigArgs 

type AiFeatureStoreEntityTypeMonitoringConfigArgs struct {
	// Configuration of how features in Featurestore are monitored.
	// 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 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 AiFeatureStoreEntityTypeMonitoringConfigOutput 

type AiFeatureStoreEntityTypeMonitoringConfigOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypeMonitoringConfigOutput) ElementType 

func (AiFeatureStoreEntityTypeMonitoringConfigOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeMonitoringConfigOutput) SnapshotAnalysis 

func (o AiFeatureStoreEntityTypeMonitoringConfigOutput) SnapshotAnalysis() AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput

Configuration of how features in Featurestore are monitored. 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) Elem 

func (o AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) Elem() AiFeatureStoreEntityTypeMonitoringConfigOutput

func (AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) ElementType 

func (AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) SnapshotAnalysis 

func (o AiFeatureStoreEntityTypeMonitoringConfigPtrOutput) SnapshotAnalysis() AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput

Configuration of how features in Featurestore are monitored. 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: This field is unavailable in the GA provider and will be removed from the beta provider in a future release.
	MonitoringInterval *string `pulumi:"monitoringInterval"`
}

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: This field is unavailable in the GA provider and will be removed from the beta provider in a future release.
	MonitoringInterval pulumi.StringPtrInput `pulumi:"monitoringInterval"`
}

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: This field is unavailable in the GA provider and will be removed from the beta provider in a future release.

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: This field is unavailable in the GA provider and will be removed from the beta provider in a future release.

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 added in v6.23.0 

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) ElementType 

func (AiFeatureStoreEntityTypeOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeOutput) Etag added in v6.23.0 

func (o AiFeatureStoreEntityTypeOutput) Etag() pulumi.StringOutput

Used to perform consistent read-modify-write updates.

func (AiFeatureStoreEntityTypeOutput) Featurestore added in v6.23.0 

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 added in v6.23.0 

func (o AiFeatureStoreEntityTypeOutput) Labels() pulumi.StringMapOutput

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

func (AiFeatureStoreEntityTypeOutput) MonitoringConfig added in v6.23.0 

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 added in v6.23.0 

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) ToAiFeatureStoreEntityTypeOutput 

func (o AiFeatureStoreEntityTypeOutput) ToAiFeatureStoreEntityTypeOutput() AiFeatureStoreEntityTypeOutput

func (AiFeatureStoreEntityTypeOutput) ToAiFeatureStoreEntityTypeOutputWithContext 

func (o AiFeatureStoreEntityTypeOutput) ToAiFeatureStoreEntityTypeOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypeOutput

func (AiFeatureStoreEntityTypeOutput) UpdateTime added in v6.23.0 

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
	// 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.
	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
	// 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 added in v6.42.0 

type AiFeatureStoreIamBinding struct {
	pulumi.CustomResourceState

	Condition    AiFeatureStoreIamBindingConditionPtrOutput `pulumi:"condition"`
	Etag         pulumi.StringOutput                        `pulumi:"etag"`
	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 provider project is used.
	Project pulumi.StringOutput `pulumi:"project"`
	// The region of the dataset. eg us-central1
	Region pulumi.StringOutput `pulumi:"region"`
	Role   pulumi.StringOutput `pulumi:"role"`
}

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/v6/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
	})
}

```

## Import

Featurestore can be imported using any of these accepted formats

```sh 

$ pulumi import gcp:vertex/aiFeatureStoreIamBinding:AiFeatureStoreIamBinding default projects/{{project}}/locations/{{region}}/featurestores/{{name}}

```

```sh 

$ pulumi import gcp:vertex/aiFeatureStoreIamBinding:AiFeatureStoreIamBinding default {{project}}/{{region}}/{{name}}

```

```sh 

$ pulumi import gcp:vertex/aiFeatureStoreIamBinding:AiFeatureStoreIamBinding default {{region}}/{{name}}

```

```sh 

$ pulumi import gcp:vertex/aiFeatureStoreIamBinding:AiFeatureStoreIamBinding default {{name}}

```

func GetAiFeatureStoreIamBinding added in v6.42.0 

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 added in v6.42.0 

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 added in v6.42.0 

func (*AiFeatureStoreIamBinding) ElementType() reflect.Type

func (*AiFeatureStoreIamBinding) ToAiFeatureStoreIamBindingOutput added in v6.42.0 

func (i *AiFeatureStoreIamBinding) ToAiFeatureStoreIamBindingOutput() AiFeatureStoreIamBindingOutput

func (*AiFeatureStoreIamBinding) ToAiFeatureStoreIamBindingOutputWithContext added in v6.42.0 

func (i *AiFeatureStoreIamBinding) ToAiFeatureStoreIamBindingOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingOutput

type AiFeatureStoreIamBindingArgs added in v6.42.0 

type AiFeatureStoreIamBindingArgs struct {
	Condition    AiFeatureStoreIamBindingConditionPtrInput
	Featurestore pulumi.StringInput
	Members      pulumi.StringArrayInput
	// 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
	Role   pulumi.StringInput
}

The set of arguments for constructing a AiFeatureStoreIamBinding resource.

func (AiFeatureStoreIamBindingArgs) ElementType added in v6.42.0 

func (AiFeatureStoreIamBindingArgs) ElementType() reflect.Type

type AiFeatureStoreIamBindingArray added in v6.42.0 

type AiFeatureStoreIamBindingArray []AiFeatureStoreIamBindingInput

func (AiFeatureStoreIamBindingArray) ElementType added in v6.42.0 

func (AiFeatureStoreIamBindingArray) ElementType() reflect.Type

func (AiFeatureStoreIamBindingArray) ToAiFeatureStoreIamBindingArrayOutput added in v6.42.0 

func (i AiFeatureStoreIamBindingArray) ToAiFeatureStoreIamBindingArrayOutput() AiFeatureStoreIamBindingArrayOutput

func (AiFeatureStoreIamBindingArray) ToAiFeatureStoreIamBindingArrayOutputWithContext added in v6.42.0 

func (i AiFeatureStoreIamBindingArray) ToAiFeatureStoreIamBindingArrayOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingArrayOutput

type AiFeatureStoreIamBindingArrayInput added in v6.42.0 

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 added in v6.42.0 

type AiFeatureStoreIamBindingArrayOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamBindingArrayOutput) ElementType added in v6.42.0 

func (AiFeatureStoreIamBindingArrayOutput) ElementType() reflect.Type

func (AiFeatureStoreIamBindingArrayOutput) Index added in v6.42.0 

func (o AiFeatureStoreIamBindingArrayOutput) Index(i pulumi.IntInput) AiFeatureStoreIamBindingOutput

func (AiFeatureStoreIamBindingArrayOutput) ToAiFeatureStoreIamBindingArrayOutput added in v6.42.0 

func (o AiFeatureStoreIamBindingArrayOutput) ToAiFeatureStoreIamBindingArrayOutput() AiFeatureStoreIamBindingArrayOutput

func (AiFeatureStoreIamBindingArrayOutput) ToAiFeatureStoreIamBindingArrayOutputWithContext added in v6.42.0 

func (o AiFeatureStoreIamBindingArrayOutput) ToAiFeatureStoreIamBindingArrayOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingArrayOutput

type AiFeatureStoreIamBindingCondition added in v6.42.0 

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

type AiFeatureStoreIamBindingConditionArgs added in v6.42.0 

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

func (AiFeatureStoreIamBindingConditionArgs) ElementType added in v6.42.0 

func (AiFeatureStoreIamBindingConditionArgs) ElementType() reflect.Type

func (AiFeatureStoreIamBindingConditionArgs) ToAiFeatureStoreIamBindingConditionOutput added in v6.42.0 

func (i AiFeatureStoreIamBindingConditionArgs) ToAiFeatureStoreIamBindingConditionOutput() AiFeatureStoreIamBindingConditionOutput

func (AiFeatureStoreIamBindingConditionArgs) ToAiFeatureStoreIamBindingConditionOutputWithContext added in v6.42.0 

func (i AiFeatureStoreIamBindingConditionArgs) ToAiFeatureStoreIamBindingConditionOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingConditionOutput

func (AiFeatureStoreIamBindingConditionArgs) ToAiFeatureStoreIamBindingConditionPtrOutput added in v6.42.0 

func (i AiFeatureStoreIamBindingConditionArgs) ToAiFeatureStoreIamBindingConditionPtrOutput() AiFeatureStoreIamBindingConditionPtrOutput

func (AiFeatureStoreIamBindingConditionArgs) ToAiFeatureStoreIamBindingConditionPtrOutputWithContext added in v6.42.0 

func (i AiFeatureStoreIamBindingConditionArgs) ToAiFeatureStoreIamBindingConditionPtrOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingConditionPtrOutput

type AiFeatureStoreIamBindingConditionInput added in v6.42.0 

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 added in v6.42.0 

type AiFeatureStoreIamBindingConditionOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamBindingConditionOutput) Description added in v6.42.0 

func (o AiFeatureStoreIamBindingConditionOutput) Description() pulumi.StringPtrOutput

func (AiFeatureStoreIamBindingConditionOutput) ElementType added in v6.42.0 

func (AiFeatureStoreIamBindingConditionOutput) ElementType() reflect.Type

func (AiFeatureStoreIamBindingConditionOutput) Expression added in v6.42.0 

func (o AiFeatureStoreIamBindingConditionOutput) Expression() pulumi.StringOutput

func (AiFeatureStoreIamBindingConditionOutput) Title added in v6.42.0 

func (o AiFeatureStoreIamBindingConditionOutput) Title() pulumi.StringOutput

func (AiFeatureStoreIamBindingConditionOutput) ToAiFeatureStoreIamBindingConditionOutput added in v6.42.0 

func (o AiFeatureStoreIamBindingConditionOutput) ToAiFeatureStoreIamBindingConditionOutput() AiFeatureStoreIamBindingConditionOutput

func (AiFeatureStoreIamBindingConditionOutput) ToAiFeatureStoreIamBindingConditionOutputWithContext added in v6.42.0 

func (o AiFeatureStoreIamBindingConditionOutput) ToAiFeatureStoreIamBindingConditionOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingConditionOutput

func (AiFeatureStoreIamBindingConditionOutput) ToAiFeatureStoreIamBindingConditionPtrOutput added in v6.42.0 

func (o AiFeatureStoreIamBindingConditionOutput) ToAiFeatureStoreIamBindingConditionPtrOutput() AiFeatureStoreIamBindingConditionPtrOutput

func (AiFeatureStoreIamBindingConditionOutput) ToAiFeatureStoreIamBindingConditionPtrOutputWithContext added in v6.42.0 

func (o AiFeatureStoreIamBindingConditionOutput) ToAiFeatureStoreIamBindingConditionPtrOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingConditionPtrOutput

type AiFeatureStoreIamBindingConditionPtrInput added in v6.42.0 

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 added in v6.42.0 

func AiFeatureStoreIamBindingConditionPtr(v *AiFeatureStoreIamBindingConditionArgs) AiFeatureStoreIamBindingConditionPtrInput

type AiFeatureStoreIamBindingConditionPtrOutput added in v6.42.0 

type AiFeatureStoreIamBindingConditionPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamBindingConditionPtrOutput) Description added in v6.42.0 

func (o AiFeatureStoreIamBindingConditionPtrOutput) Description() pulumi.StringPtrOutput

func (AiFeatureStoreIamBindingConditionPtrOutput) Elem added in v6.42.0 

func (o AiFeatureStoreIamBindingConditionPtrOutput) Elem() AiFeatureStoreIamBindingConditionOutput

func (AiFeatureStoreIamBindingConditionPtrOutput) ElementType added in v6.42.0 

func (AiFeatureStoreIamBindingConditionPtrOutput) ElementType() reflect.Type

func (AiFeatureStoreIamBindingConditionPtrOutput) Expression added in v6.42.0 

func (o AiFeatureStoreIamBindingConditionPtrOutput) Expression() pulumi.StringPtrOutput

func (AiFeatureStoreIamBindingConditionPtrOutput) Title added in v6.42.0 

func (o AiFeatureStoreIamBindingConditionPtrOutput) Title() pulumi.StringPtrOutput

func (AiFeatureStoreIamBindingConditionPtrOutput) ToAiFeatureStoreIamBindingConditionPtrOutput added in v6.42.0 

func (o AiFeatureStoreIamBindingConditionPtrOutput) ToAiFeatureStoreIamBindingConditionPtrOutput() AiFeatureStoreIamBindingConditionPtrOutput

func (AiFeatureStoreIamBindingConditionPtrOutput) ToAiFeatureStoreIamBindingConditionPtrOutputWithContext added in v6.42.0 

func (o AiFeatureStoreIamBindingConditionPtrOutput) ToAiFeatureStoreIamBindingConditionPtrOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingConditionPtrOutput

type AiFeatureStoreIamBindingInput added in v6.42.0 

type AiFeatureStoreIamBindingInput interface {
	pulumi.Input

	ToAiFeatureStoreIamBindingOutput() AiFeatureStoreIamBindingOutput
	ToAiFeatureStoreIamBindingOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingOutput
}

type AiFeatureStoreIamBindingMap added in v6.42.0 

type AiFeatureStoreIamBindingMap map[string]AiFeatureStoreIamBindingInput

func (AiFeatureStoreIamBindingMap) ElementType added in v6.42.0 

func (AiFeatureStoreIamBindingMap) ElementType() reflect.Type

func (AiFeatureStoreIamBindingMap) ToAiFeatureStoreIamBindingMapOutput added in v6.42.0 

func (i AiFeatureStoreIamBindingMap) ToAiFeatureStoreIamBindingMapOutput() AiFeatureStoreIamBindingMapOutput

func (AiFeatureStoreIamBindingMap) ToAiFeatureStoreIamBindingMapOutputWithContext added in v6.42.0 

func (i AiFeatureStoreIamBindingMap) ToAiFeatureStoreIamBindingMapOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingMapOutput

type AiFeatureStoreIamBindingMapInput added in v6.42.0 

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 added in v6.42.0 

type AiFeatureStoreIamBindingMapOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamBindingMapOutput) ElementType added in v6.42.0 

func (AiFeatureStoreIamBindingMapOutput) ElementType() reflect.Type

func (AiFeatureStoreIamBindingMapOutput) MapIndex added in v6.42.0 

func (o AiFeatureStoreIamBindingMapOutput) MapIndex(k pulumi.StringInput) AiFeatureStoreIamBindingOutput

func (AiFeatureStoreIamBindingMapOutput) ToAiFeatureStoreIamBindingMapOutput added in v6.42.0 

func (o AiFeatureStoreIamBindingMapOutput) ToAiFeatureStoreIamBindingMapOutput() AiFeatureStoreIamBindingMapOutput

func (AiFeatureStoreIamBindingMapOutput) ToAiFeatureStoreIamBindingMapOutputWithContext added in v6.42.0 

func (o AiFeatureStoreIamBindingMapOutput) ToAiFeatureStoreIamBindingMapOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingMapOutput

type AiFeatureStoreIamBindingOutput added in v6.42.0 

type AiFeatureStoreIamBindingOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamBindingOutput) Condition added in v6.42.0 

func (o AiFeatureStoreIamBindingOutput) Condition() AiFeatureStoreIamBindingConditionPtrOutput

func (AiFeatureStoreIamBindingOutput) ElementType added in v6.42.0 

func (AiFeatureStoreIamBindingOutput) ElementType() reflect.Type

func (AiFeatureStoreIamBindingOutput) Etag added in v6.42.0 

func (o AiFeatureStoreIamBindingOutput) Etag() pulumi.StringOutput

func (AiFeatureStoreIamBindingOutput) Featurestore added in v6.42.0 

func (o AiFeatureStoreIamBindingOutput) Featurestore() pulumi.StringOutput

func (AiFeatureStoreIamBindingOutput) Members added in v6.42.0 

func (o AiFeatureStoreIamBindingOutput) Members() pulumi.StringArrayOutput

func (AiFeatureStoreIamBindingOutput) Project added in v6.42.0 

func (o AiFeatureStoreIamBindingOutput) Project() pulumi.StringOutput

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

func (AiFeatureStoreIamBindingOutput) Region added in v6.42.0 

func (o AiFeatureStoreIamBindingOutput) Region() pulumi.StringOutput

The region of the dataset. eg us-central1

func (AiFeatureStoreIamBindingOutput) Role added in v6.42.0 

func (o AiFeatureStoreIamBindingOutput) Role() pulumi.StringOutput

func (AiFeatureStoreIamBindingOutput) ToAiFeatureStoreIamBindingOutput added in v6.42.0 

func (o AiFeatureStoreIamBindingOutput) ToAiFeatureStoreIamBindingOutput() AiFeatureStoreIamBindingOutput

func (AiFeatureStoreIamBindingOutput) ToAiFeatureStoreIamBindingOutputWithContext added in v6.42.0 

func (o AiFeatureStoreIamBindingOutput) ToAiFeatureStoreIamBindingOutputWithContext(ctx context.Context) AiFeatureStoreIamBindingOutput

type AiFeatureStoreIamBindingState added in v6.42.0 

type AiFeatureStoreIamBindingState struct {
	Condition    AiFeatureStoreIamBindingConditionPtrInput
	Etag         pulumi.StringPtrInput
	Featurestore pulumi.StringPtrInput
	Members      pulumi.StringArrayInput
	// 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
	Role   pulumi.StringPtrInput
}

func (AiFeatureStoreIamBindingState) ElementType added in v6.42.0 

func (AiFeatureStoreIamBindingState) ElementType() reflect.Type

type AiFeatureStoreIamMember added in v6.42.0 

type AiFeatureStoreIamMember struct {
	pulumi.CustomResourceState

	Condition    AiFeatureStoreIamMemberConditionPtrOutput `pulumi:"condition"`
	Etag         pulumi.StringOutput                       `pulumi:"etag"`
	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 provider project is used.
	Project pulumi.StringOutput `pulumi:"project"`
	// The region of the dataset. eg us-central1
	Region pulumi.StringOutput `pulumi:"region"`
	Role   pulumi.StringOutput `pulumi:"role"`
}

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/v6/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
	})
}

```

## Import

Featurestore can be imported using any of these accepted formats

```sh 

$ pulumi import gcp:vertex/aiFeatureStoreIamMember:AiFeatureStoreIamMember default projects/{{project}}/locations/{{region}}/featurestores/{{name}}

```

```sh 

$ pulumi import gcp:vertex/aiFeatureStoreIamMember:AiFeatureStoreIamMember default {{project}}/{{region}}/{{name}}

```

```sh 

$ pulumi import gcp:vertex/aiFeatureStoreIamMember:AiFeatureStoreIamMember default {{region}}/{{name}}

```

```sh 

$ pulumi import gcp:vertex/aiFeatureStoreIamMember:AiFeatureStoreIamMember default {{name}}

```

func GetAiFeatureStoreIamMember added in v6.42.0 

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 added in v6.42.0 

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 added in v6.42.0 

func (*AiFeatureStoreIamMember) ElementType() reflect.Type

func (*AiFeatureStoreIamMember) ToAiFeatureStoreIamMemberOutput added in v6.42.0 

func (i *AiFeatureStoreIamMember) ToAiFeatureStoreIamMemberOutput() AiFeatureStoreIamMemberOutput

func (*AiFeatureStoreIamMember) ToAiFeatureStoreIamMemberOutputWithContext added in v6.42.0 

func (i *AiFeatureStoreIamMember) ToAiFeatureStoreIamMemberOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberOutput

type AiFeatureStoreIamMemberArgs added in v6.42.0 

type AiFeatureStoreIamMemberArgs struct {
	Condition    AiFeatureStoreIamMemberConditionPtrInput
	Featurestore pulumi.StringInput
	Member       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
	Role   pulumi.StringInput
}

The set of arguments for constructing a AiFeatureStoreIamMember resource.

func (AiFeatureStoreIamMemberArgs) ElementType added in v6.42.0 

func (AiFeatureStoreIamMemberArgs) ElementType() reflect.Type

type AiFeatureStoreIamMemberArray added in v6.42.0 

type AiFeatureStoreIamMemberArray []AiFeatureStoreIamMemberInput

func (AiFeatureStoreIamMemberArray) ElementType added in v6.42.0 

func (AiFeatureStoreIamMemberArray) ElementType() reflect.Type

func (AiFeatureStoreIamMemberArray) ToAiFeatureStoreIamMemberArrayOutput added in v6.42.0 

func (i AiFeatureStoreIamMemberArray) ToAiFeatureStoreIamMemberArrayOutput() AiFeatureStoreIamMemberArrayOutput

func (AiFeatureStoreIamMemberArray) ToAiFeatureStoreIamMemberArrayOutputWithContext added in v6.42.0 

func (i AiFeatureStoreIamMemberArray) ToAiFeatureStoreIamMemberArrayOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberArrayOutput

type AiFeatureStoreIamMemberArrayInput added in v6.42.0 

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 added in v6.42.0 

type AiFeatureStoreIamMemberArrayOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamMemberArrayOutput) ElementType added in v6.42.0 

func (AiFeatureStoreIamMemberArrayOutput) ElementType() reflect.Type

func (AiFeatureStoreIamMemberArrayOutput) Index added in v6.42.0 

func (o AiFeatureStoreIamMemberArrayOutput) Index(i pulumi.IntInput) AiFeatureStoreIamMemberOutput

func (AiFeatureStoreIamMemberArrayOutput) ToAiFeatureStoreIamMemberArrayOutput added in v6.42.0 

func (o AiFeatureStoreIamMemberArrayOutput) ToAiFeatureStoreIamMemberArrayOutput() AiFeatureStoreIamMemberArrayOutput

func (AiFeatureStoreIamMemberArrayOutput) ToAiFeatureStoreIamMemberArrayOutputWithContext added in v6.42.0 

func (o AiFeatureStoreIamMemberArrayOutput) ToAiFeatureStoreIamMemberArrayOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberArrayOutput

type AiFeatureStoreIamMemberCondition added in v6.42.0 

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

type AiFeatureStoreIamMemberConditionArgs added in v6.42.0 

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

func (AiFeatureStoreIamMemberConditionArgs) ElementType added in v6.42.0 

func (AiFeatureStoreIamMemberConditionArgs) ElementType() reflect.Type

func (AiFeatureStoreIamMemberConditionArgs) ToAiFeatureStoreIamMemberConditionOutput added in v6.42.0 

func (i AiFeatureStoreIamMemberConditionArgs) ToAiFeatureStoreIamMemberConditionOutput() AiFeatureStoreIamMemberConditionOutput

func (AiFeatureStoreIamMemberConditionArgs) ToAiFeatureStoreIamMemberConditionOutputWithContext added in v6.42.0 

func (i AiFeatureStoreIamMemberConditionArgs) ToAiFeatureStoreIamMemberConditionOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberConditionOutput

func (AiFeatureStoreIamMemberConditionArgs) ToAiFeatureStoreIamMemberConditionPtrOutput added in v6.42.0 

func (i AiFeatureStoreIamMemberConditionArgs) ToAiFeatureStoreIamMemberConditionPtrOutput() AiFeatureStoreIamMemberConditionPtrOutput

func (AiFeatureStoreIamMemberConditionArgs) ToAiFeatureStoreIamMemberConditionPtrOutputWithContext added in v6.42.0 

func (i AiFeatureStoreIamMemberConditionArgs) ToAiFeatureStoreIamMemberConditionPtrOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberConditionPtrOutput

type AiFeatureStoreIamMemberConditionInput added in v6.42.0 

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 added in v6.42.0 

type AiFeatureStoreIamMemberConditionOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamMemberConditionOutput) Description added in v6.42.0 

func (o AiFeatureStoreIamMemberConditionOutput) Description() pulumi.StringPtrOutput

func (AiFeatureStoreIamMemberConditionOutput) ElementType added in v6.42.0 

func (AiFeatureStoreIamMemberConditionOutput) ElementType() reflect.Type

func (AiFeatureStoreIamMemberConditionOutput) Expression added in v6.42.0 

func (o AiFeatureStoreIamMemberConditionOutput) Expression() pulumi.StringOutput

func (AiFeatureStoreIamMemberConditionOutput) Title added in v6.42.0 

func (o AiFeatureStoreIamMemberConditionOutput) Title() pulumi.StringOutput

func (AiFeatureStoreIamMemberConditionOutput) ToAiFeatureStoreIamMemberConditionOutput added in v6.42.0 

func (o AiFeatureStoreIamMemberConditionOutput) ToAiFeatureStoreIamMemberConditionOutput() AiFeatureStoreIamMemberConditionOutput

func (AiFeatureStoreIamMemberConditionOutput) ToAiFeatureStoreIamMemberConditionOutputWithContext added in v6.42.0 

func (o AiFeatureStoreIamMemberConditionOutput) ToAiFeatureStoreIamMemberConditionOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberConditionOutput

func (AiFeatureStoreIamMemberConditionOutput) ToAiFeatureStoreIamMemberConditionPtrOutput added in v6.42.0 

func (o AiFeatureStoreIamMemberConditionOutput) ToAiFeatureStoreIamMemberConditionPtrOutput() AiFeatureStoreIamMemberConditionPtrOutput

func (AiFeatureStoreIamMemberConditionOutput) ToAiFeatureStoreIamMemberConditionPtrOutputWithContext added in v6.42.0 

func (o AiFeatureStoreIamMemberConditionOutput) ToAiFeatureStoreIamMemberConditionPtrOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberConditionPtrOutput

type AiFeatureStoreIamMemberConditionPtrInput added in v6.42.0 

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 added in v6.42.0 

func AiFeatureStoreIamMemberConditionPtr(v *AiFeatureStoreIamMemberConditionArgs) AiFeatureStoreIamMemberConditionPtrInput

type AiFeatureStoreIamMemberConditionPtrOutput added in v6.42.0 

type AiFeatureStoreIamMemberConditionPtrOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamMemberConditionPtrOutput) Description added in v6.42.0 

func (o AiFeatureStoreIamMemberConditionPtrOutput) Description() pulumi.StringPtrOutput

func (AiFeatureStoreIamMemberConditionPtrOutput) Elem added in v6.42.0 

func (o AiFeatureStoreIamMemberConditionPtrOutput) Elem() AiFeatureStoreIamMemberConditionOutput

func (AiFeatureStoreIamMemberConditionPtrOutput) ElementType added in v6.42.0 

func (AiFeatureStoreIamMemberConditionPtrOutput) ElementType() reflect.Type

func (AiFeatureStoreIamMemberConditionPtrOutput) Expression added in v6.42.0 

func (o AiFeatureStoreIamMemberConditionPtrOutput) Expression() pulumi.StringPtrOutput

func (AiFeatureStoreIamMemberConditionPtrOutput) Title added in v6.42.0 

func (o AiFeatureStoreIamMemberConditionPtrOutput) Title() pulumi.StringPtrOutput

func (AiFeatureStoreIamMemberConditionPtrOutput) ToAiFeatureStoreIamMemberConditionPtrOutput added in v6.42.0 

func (o AiFeatureStoreIamMemberConditionPtrOutput) ToAiFeatureStoreIamMemberConditionPtrOutput() AiFeatureStoreIamMemberConditionPtrOutput

func (AiFeatureStoreIamMemberConditionPtrOutput) ToAiFeatureStoreIamMemberConditionPtrOutputWithContext added in v6.42.0 

func (o AiFeatureStoreIamMemberConditionPtrOutput) ToAiFeatureStoreIamMemberConditionPtrOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberConditionPtrOutput

type AiFeatureStoreIamMemberInput added in v6.42.0 

type AiFeatureStoreIamMemberInput interface {
	pulumi.Input

	ToAiFeatureStoreIamMemberOutput() AiFeatureStoreIamMemberOutput
	ToAiFeatureStoreIamMemberOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberOutput
}

type AiFeatureStoreIamMemberMap added in v6.42.0 

type AiFeatureStoreIamMemberMap map[string]AiFeatureStoreIamMemberInput

func (AiFeatureStoreIamMemberMap) ElementType added in v6.42.0 

func (AiFeatureStoreIamMemberMap) ElementType() reflect.Type

func (AiFeatureStoreIamMemberMap) ToAiFeatureStoreIamMemberMapOutput added in v6.42.0 

func (i AiFeatureStoreIamMemberMap) ToAiFeatureStoreIamMemberMapOutput() AiFeatureStoreIamMemberMapOutput

func (AiFeatureStoreIamMemberMap) ToAiFeatureStoreIamMemberMapOutputWithContext added in v6.42.0 

func (i AiFeatureStoreIamMemberMap) ToAiFeatureStoreIamMemberMapOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberMapOutput

type AiFeatureStoreIamMemberMapInput added in v6.42.0 

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 added in v6.42.0 

type AiFeatureStoreIamMemberMapOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamMemberMapOutput) ElementType added in v6.42.0 

func (AiFeatureStoreIamMemberMapOutput) ElementType() reflect.Type

func (AiFeatureStoreIamMemberMapOutput) MapIndex added in v6.42.0 

func (o AiFeatureStoreIamMemberMapOutput) MapIndex(k pulumi.StringInput) AiFeatureStoreIamMemberOutput

func (AiFeatureStoreIamMemberMapOutput) ToAiFeatureStoreIamMemberMapOutput added in v6.42.0 

func (o AiFeatureStoreIamMemberMapOutput) ToAiFeatureStoreIamMemberMapOutput() AiFeatureStoreIamMemberMapOutput

func (AiFeatureStoreIamMemberMapOutput) ToAiFeatureStoreIamMemberMapOutputWithContext added in v6.42.0 

func (o AiFeatureStoreIamMemberMapOutput) ToAiFeatureStoreIamMemberMapOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberMapOutput

type AiFeatureStoreIamMemberOutput added in v6.42.0 

type AiFeatureStoreIamMemberOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamMemberOutput) Condition added in v6.42.0 

func (o AiFeatureStoreIamMemberOutput) Condition() AiFeatureStoreIamMemberConditionPtrOutput

func (AiFeatureStoreIamMemberOutput) ElementType added in v6.42.0 

func (AiFeatureStoreIamMemberOutput) ElementType() reflect.Type

func (AiFeatureStoreIamMemberOutput) Etag added in v6.42.0 

func (o AiFeatureStoreIamMemberOutput) Etag() pulumi.StringOutput

func (AiFeatureStoreIamMemberOutput) Featurestore added in v6.42.0 

func (o AiFeatureStoreIamMemberOutput) Featurestore() pulumi.StringOutput

func (AiFeatureStoreIamMemberOutput) Member added in v6.42.0 

func (o AiFeatureStoreIamMemberOutput) Member() pulumi.StringOutput

func (AiFeatureStoreIamMemberOutput) Project added in v6.42.0 

func (o AiFeatureStoreIamMemberOutput) Project() pulumi.StringOutput

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

func (AiFeatureStoreIamMemberOutput) Region added in v6.42.0 

func (o AiFeatureStoreIamMemberOutput) Region() pulumi.StringOutput

The region of the dataset. eg us-central1

func (AiFeatureStoreIamMemberOutput) Role added in v6.42.0 

func (o AiFeatureStoreIamMemberOutput) Role() pulumi.StringOutput

func (AiFeatureStoreIamMemberOutput) ToAiFeatureStoreIamMemberOutput added in v6.42.0 

func (o AiFeatureStoreIamMemberOutput) ToAiFeatureStoreIamMemberOutput() AiFeatureStoreIamMemberOutput

func (AiFeatureStoreIamMemberOutput) ToAiFeatureStoreIamMemberOutputWithContext added in v6.42.0 

func (o AiFeatureStoreIamMemberOutput) ToAiFeatureStoreIamMemberOutputWithContext(ctx context.Context) AiFeatureStoreIamMemberOutput

type AiFeatureStoreIamMemberState added in v6.42.0 

type AiFeatureStoreIamMemberState struct {
	Condition    AiFeatureStoreIamMemberConditionPtrInput
	Etag         pulumi.StringPtrInput
	Featurestore pulumi.StringPtrInput
	Member       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 dataset. eg us-central1
	Region pulumi.StringPtrInput
	Role   pulumi.StringPtrInput
}

func (AiFeatureStoreIamMemberState) ElementType added in v6.42.0 

func (AiFeatureStoreIamMemberState) ElementType() reflect.Type

type AiFeatureStoreIamPolicy added in v6.42.0 

type AiFeatureStoreIamPolicy struct {
	pulumi.CustomResourceState

	Etag         pulumi.StringOutput `pulumi:"etag"`
	Featurestore pulumi.StringOutput `pulumi:"featurestore"`
	PolicyData   pulumi.StringOutput `pulumi:"policyData"`
	// 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 dataset. eg us-central1
	Region pulumi.StringOutput `pulumi:"region"`
}

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/v6/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
	})
}

```

## Import

Featurestore can be imported using any of these accepted formats

```sh 

$ pulumi import gcp:vertex/aiFeatureStoreIamPolicy:AiFeatureStoreIamPolicy default projects/{{project}}/locations/{{region}}/featurestores/{{name}}

```

```sh 

$ pulumi import gcp:vertex/aiFeatureStoreIamPolicy:AiFeatureStoreIamPolicy default {{project}}/{{region}}/{{name}}

```

```sh 

$ pulumi import gcp:vertex/aiFeatureStoreIamPolicy:AiFeatureStoreIamPolicy default {{region}}/{{name}}

```

```sh 

$ pulumi import gcp:vertex/aiFeatureStoreIamPolicy:AiFeatureStoreIamPolicy default {{name}}

```

func GetAiFeatureStoreIamPolicy added in v6.42.0 

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 added in v6.42.0 

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 added in v6.42.0 

func (*AiFeatureStoreIamPolicy) ElementType() reflect.Type

func (*AiFeatureStoreIamPolicy) ToAiFeatureStoreIamPolicyOutput added in v6.42.0 

func (i *AiFeatureStoreIamPolicy) ToAiFeatureStoreIamPolicyOutput() AiFeatureStoreIamPolicyOutput

func (*AiFeatureStoreIamPolicy) ToAiFeatureStoreIamPolicyOutputWithContext added in v6.42.0 

func (i *AiFeatureStoreIamPolicy) ToAiFeatureStoreIamPolicyOutputWithContext(ctx context.Context) AiFeatureStoreIamPolicyOutput

type AiFeatureStoreIamPolicyArgs added in v6.42.0 

type AiFeatureStoreIamPolicyArgs struct {
	Featurestore pulumi.StringInput
	PolicyData   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 AiFeatureStoreIamPolicy resource.

func (AiFeatureStoreIamPolicyArgs) ElementType added in v6.42.0 

func (AiFeatureStoreIamPolicyArgs) ElementType() reflect.Type

type AiFeatureStoreIamPolicyArray added in v6.42.0 

type AiFeatureStoreIamPolicyArray []AiFeatureStoreIamPolicyInput

func (AiFeatureStoreIamPolicyArray) ElementType added in v6.42.0 

func (AiFeatureStoreIamPolicyArray) ElementType() reflect.Type

func (AiFeatureStoreIamPolicyArray) ToAiFeatureStoreIamPolicyArrayOutput added in v6.42.0 

func (i AiFeatureStoreIamPolicyArray) ToAiFeatureStoreIamPolicyArrayOutput() AiFeatureStoreIamPolicyArrayOutput

func (AiFeatureStoreIamPolicyArray) ToAiFeatureStoreIamPolicyArrayOutputWithContext added in v6.42.0 

func (i AiFeatureStoreIamPolicyArray) ToAiFeatureStoreIamPolicyArrayOutputWithContext(ctx context.Context) AiFeatureStoreIamPolicyArrayOutput

type AiFeatureStoreIamPolicyArrayInput added in v6.42.0 

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 added in v6.42.0 

type AiFeatureStoreIamPolicyArrayOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamPolicyArrayOutput) ElementType added in v6.42.0 

func (AiFeatureStoreIamPolicyArrayOutput) ElementType() reflect.Type

func (AiFeatureStoreIamPolicyArrayOutput) Index added in v6.42.0 

func (o AiFeatureStoreIamPolicyArrayOutput) Index(i pulumi.IntInput) AiFeatureStoreIamPolicyOutput

func (AiFeatureStoreIamPolicyArrayOutput) ToAiFeatureStoreIamPolicyArrayOutput added in v6.42.0 

func (o AiFeatureStoreIamPolicyArrayOutput) ToAiFeatureStoreIamPolicyArrayOutput() AiFeatureStoreIamPolicyArrayOutput

func (AiFeatureStoreIamPolicyArrayOutput) ToAiFeatureStoreIamPolicyArrayOutputWithContext added in v6.42.0 

func (o AiFeatureStoreIamPolicyArrayOutput) ToAiFeatureStoreIamPolicyArrayOutputWithContext(ctx context.Context) AiFeatureStoreIamPolicyArrayOutput

type AiFeatureStoreIamPolicyInput added in v6.42.0 

type AiFeatureStoreIamPolicyInput interface {
	pulumi.Input

	ToAiFeatureStoreIamPolicyOutput() AiFeatureStoreIamPolicyOutput
	ToAiFeatureStoreIamPolicyOutputWithContext(ctx context.Context) AiFeatureStoreIamPolicyOutput
}

type AiFeatureStoreIamPolicyMap added in v6.42.0 

type AiFeatureStoreIamPolicyMap map[string]AiFeatureStoreIamPolicyInput

func (AiFeatureStoreIamPolicyMap) ElementType added in v6.42.0 

func (AiFeatureStoreIamPolicyMap) ElementType() reflect.Type

func (AiFeatureStoreIamPolicyMap) ToAiFeatureStoreIamPolicyMapOutput added in v6.42.0 

func (i AiFeatureStoreIamPolicyMap) ToAiFeatureStoreIamPolicyMapOutput() AiFeatureStoreIamPolicyMapOutput

func (AiFeatureStoreIamPolicyMap) ToAiFeatureStoreIamPolicyMapOutputWithContext added in v6.42.0 

func (i AiFeatureStoreIamPolicyMap) ToAiFeatureStoreIamPolicyMapOutputWithContext(ctx context.Context) AiFeatureStoreIamPolicyMapOutput

type AiFeatureStoreIamPolicyMapInput added in v6.42.0 

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 added in v6.42.0 

type AiFeatureStoreIamPolicyMapOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamPolicyMapOutput) ElementType added in v6.42.0 

func (AiFeatureStoreIamPolicyMapOutput) ElementType() reflect.Type

func (AiFeatureStoreIamPolicyMapOutput) MapIndex added in v6.42.0 

func (o AiFeatureStoreIamPolicyMapOutput) MapIndex(k pulumi.StringInput) AiFeatureStoreIamPolicyOutput

func (AiFeatureStoreIamPolicyMapOutput) ToAiFeatureStoreIamPolicyMapOutput added in v6.42.0 

func (o AiFeatureStoreIamPolicyMapOutput) ToAiFeatureStoreIamPolicyMapOutput() AiFeatureStoreIamPolicyMapOutput

func (AiFeatureStoreIamPolicyMapOutput) ToAiFeatureStoreIamPolicyMapOutputWithContext added in v6.42.0 

func (o AiFeatureStoreIamPolicyMapOutput) ToAiFeatureStoreIamPolicyMapOutputWithContext(ctx context.Context) AiFeatureStoreIamPolicyMapOutput

type AiFeatureStoreIamPolicyOutput added in v6.42.0 

type AiFeatureStoreIamPolicyOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreIamPolicyOutput) ElementType added in v6.42.0 

func (AiFeatureStoreIamPolicyOutput) ElementType() reflect.Type

func (AiFeatureStoreIamPolicyOutput) Etag added in v6.42.0 

func (o AiFeatureStoreIamPolicyOutput) Etag() pulumi.StringOutput

func (AiFeatureStoreIamPolicyOutput) Featurestore added in v6.42.0 

func (o AiFeatureStoreIamPolicyOutput) Featurestore() pulumi.StringOutput

func (AiFeatureStoreIamPolicyOutput) PolicyData added in v6.42.0 

func (o AiFeatureStoreIamPolicyOutput) PolicyData() pulumi.StringOutput

func (AiFeatureStoreIamPolicyOutput) Project added in v6.42.0 

func (o AiFeatureStoreIamPolicyOutput) Project() pulumi.StringOutput

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

func (AiFeatureStoreIamPolicyOutput) Region added in v6.42.0 

func (o AiFeatureStoreIamPolicyOutput) Region() pulumi.StringOutput

The region of the dataset. eg us-central1

func (AiFeatureStoreIamPolicyOutput) ToAiFeatureStoreIamPolicyOutput added in v6.42.0 

func (o AiFeatureStoreIamPolicyOutput) ToAiFeatureStoreIamPolicyOutput() AiFeatureStoreIamPolicyOutput

func (AiFeatureStoreIamPolicyOutput) ToAiFeatureStoreIamPolicyOutputWithContext added in v6.42.0 

func (o AiFeatureStoreIamPolicyOutput) ToAiFeatureStoreIamPolicyOutputWithContext(ctx context.Context) AiFeatureStoreIamPolicyOutput

type AiFeatureStoreIamPolicyState added in v6.42.0 

type AiFeatureStoreIamPolicyState struct {
	Etag         pulumi.StringPtrInput
	Featurestore pulumi.StringPtrInput
	PolicyData   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 dataset. eg us-central1
	Region pulumi.StringPtrInput
}

func (AiFeatureStoreIamPolicyState) ElementType added in v6.42.0 

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"`
}

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.IntInput `pulumi:"fixedNodeCount"`
}

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.IntOutput

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) 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) ToAiFeatureStoreOnlineServingConfigPtrOutput 

func (o AiFeatureStoreOnlineServingConfigPtrOutput) ToAiFeatureStoreOnlineServingConfigPtrOutput() AiFeatureStoreOnlineServingConfigPtrOutput

func (AiFeatureStoreOnlineServingConfigPtrOutput) ToAiFeatureStoreOnlineServingConfigPtrOutputWithContext 

func (o AiFeatureStoreOnlineServingConfigPtrOutput) ToAiFeatureStoreOnlineServingConfigPtrOutputWithContext(ctx context.Context) AiFeatureStoreOnlineServingConfigPtrOutput

type AiFeatureStoreOutput 

type AiFeatureStoreOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreOutput) CreateTime added in v6.23.0 

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) ElementType 

func (AiFeatureStoreOutput) ElementType() reflect.Type

func (AiFeatureStoreOutput) EncryptionSpec added in v6.38.0 

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 added in v6.23.0 

func (o AiFeatureStoreOutput) Etag() pulumi.StringOutput

Used to perform consistent read-modify-write updates.

func (AiFeatureStoreOutput) ForceDestroy added in v6.23.0 

func (o AiFeatureStoreOutput) ForceDestroy() pulumi.BoolPtrOutput

If set to true, any EntityTypes and Features for this Featurestore will also be deleted

func (AiFeatureStoreOutput) Labels added in v6.23.0 

func (o AiFeatureStoreOutput) Labels() pulumi.StringMapOutput

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

func (AiFeatureStoreOutput) Name added in v6.23.0 

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 added in v6.23.0 

func (o AiFeatureStoreOutput) OnlineServingConfig() AiFeatureStoreOnlineServingConfigPtrOutput

Config for online serving resources. Structure is documented below.

func (AiFeatureStoreOutput) Project added in v6.23.0 

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) Region added in v6.23.0 

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 added in v6.23.0 

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
	// 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.
	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
	// 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 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 AiMetadataStore added in v6.4.0 

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.
	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/v6/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

```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 added in v6.4.0 

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 added in v6.4.0 

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 added in v6.4.0 

func (*AiMetadataStore) ElementType() reflect.Type

func (*AiMetadataStore) ToAiMetadataStoreOutput added in v6.4.0 

func (i *AiMetadataStore) ToAiMetadataStoreOutput() AiMetadataStoreOutput

func (*AiMetadataStore) ToAiMetadataStoreOutputWithContext added in v6.4.0 

func (i *AiMetadataStore) ToAiMetadataStoreOutputWithContext(ctx context.Context) AiMetadataStoreOutput

type AiMetadataStoreArgs added in v6.4.0 

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 added in v6.4.0 

func (AiMetadataStoreArgs) ElementType() reflect.Type

type AiMetadataStoreArray added in v6.4.0 

type AiMetadataStoreArray []AiMetadataStoreInput

func (AiMetadataStoreArray) ElementType added in v6.4.0 

func (AiMetadataStoreArray) ElementType() reflect.Type

func (AiMetadataStoreArray) ToAiMetadataStoreArrayOutput added in v6.4.0 

func (i AiMetadataStoreArray) ToAiMetadataStoreArrayOutput() AiMetadataStoreArrayOutput

func (AiMetadataStoreArray) ToAiMetadataStoreArrayOutputWithContext added in v6.4.0 

func (i AiMetadataStoreArray) ToAiMetadataStoreArrayOutputWithContext(ctx context.Context) AiMetadataStoreArrayOutput

type AiMetadataStoreArrayInput added in v6.4.0 

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 added in v6.4.0 

type AiMetadataStoreArrayOutput struct{ *pulumi.OutputState }

func (AiMetadataStoreArrayOutput) ElementType added in v6.4.0 

func (AiMetadataStoreArrayOutput) ElementType() reflect.Type

func (AiMetadataStoreArrayOutput) Index added in v6.4.0 

func (o AiMetadataStoreArrayOutput) Index(i pulumi.IntInput) AiMetadataStoreOutput

func (AiMetadataStoreArrayOutput) ToAiMetadataStoreArrayOutput added in v6.4.0 

func (o AiMetadataStoreArrayOutput) ToAiMetadataStoreArrayOutput() AiMetadataStoreArrayOutput

func (AiMetadataStoreArrayOutput) ToAiMetadataStoreArrayOutputWithContext added in v6.4.0 

func (o AiMetadataStoreArrayOutput) ToAiMetadataStoreArrayOutputWithContext(ctx context.Context) AiMetadataStoreArrayOutput

type AiMetadataStoreEncryptionSpec added in v6.4.0 

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 added in v6.4.0 

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 added in v6.4.0 

func (AiMetadataStoreEncryptionSpecArgs) ElementType() reflect.Type

func (AiMetadataStoreEncryptionSpecArgs) ToAiMetadataStoreEncryptionSpecOutput added in v6.4.0 

func (i AiMetadataStoreEncryptionSpecArgs) ToAiMetadataStoreEncryptionSpecOutput() AiMetadataStoreEncryptionSpecOutput

func (AiMetadataStoreEncryptionSpecArgs) ToAiMetadataStoreEncryptionSpecOutputWithContext added in v6.4.0 

func (i AiMetadataStoreEncryptionSpecArgs) ToAiMetadataStoreEncryptionSpecOutputWithContext(ctx context.Context) AiMetadataStoreEncryptionSpecOutput

func (AiMetadataStoreEncryptionSpecArgs) ToAiMetadataStoreEncryptionSpecPtrOutput added in v6.4.0 

func (i AiMetadataStoreEncryptionSpecArgs) ToAiMetadataStoreEncryptionSpecPtrOutput() AiMetadataStoreEncryptionSpecPtrOutput

func (AiMetadataStoreEncryptionSpecArgs) ToAiMetadataStoreEncryptionSpecPtrOutputWithContext added in v6.4.0 

func (i AiMetadataStoreEncryptionSpecArgs) ToAiMetadataStoreEncryptionSpecPtrOutputWithContext(ctx context.Context) AiMetadataStoreEncryptionSpecPtrOutput

type AiMetadataStoreEncryptionSpecInput added in v6.4.0 

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 added in v6.4.0 

type AiMetadataStoreEncryptionSpecOutput struct{ *pulumi.OutputState }

func (AiMetadataStoreEncryptionSpecOutput) ElementType added in v6.4.0 

func (AiMetadataStoreEncryptionSpecOutput) ElementType() reflect.Type

func (AiMetadataStoreEncryptionSpecOutput) KmsKeyName added in v6.4.0 

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 added in v6.4.0 

func (o AiMetadataStoreEncryptionSpecOutput) ToAiMetadataStoreEncryptionSpecOutput() AiMetadataStoreEncryptionSpecOutput

func (AiMetadataStoreEncryptionSpecOutput) ToAiMetadataStoreEncryptionSpecOutputWithContext added in v6.4.0 

func (o AiMetadataStoreEncryptionSpecOutput) ToAiMetadataStoreEncryptionSpecOutputWithContext(ctx context.Context) AiMetadataStoreEncryptionSpecOutput

func (AiMetadataStoreEncryptionSpecOutput) ToAiMetadataStoreEncryptionSpecPtrOutput added in v6.4.0 

func (o AiMetadataStoreEncryptionSpecOutput) ToAiMetadataStoreEncryptionSpecPtrOutput() AiMetadataStoreEncryptionSpecPtrOutput

func (AiMetadataStoreEncryptionSpecOutput) ToAiMetadataStoreEncryptionSpecPtrOutputWithContext added in v6.4.0 

func (o AiMetadataStoreEncryptionSpecOutput) ToAiMetadataStoreEncryptionSpecPtrOutputWithContext(ctx context.Context) AiMetadataStoreEncryptionSpecPtrOutput

type AiMetadataStoreEncryptionSpecPtrInput added in v6.4.0 

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 added in v6.4.0 

func AiMetadataStoreEncryptionSpecPtr(v *AiMetadataStoreEncryptionSpecArgs) AiMetadataStoreEncryptionSpecPtrInput

type AiMetadataStoreEncryptionSpecPtrOutput added in v6.4.0 

type AiMetadataStoreEncryptionSpecPtrOutput struct{ *pulumi.OutputState }

func (AiMetadataStoreEncryptionSpecPtrOutput) Elem added in v6.4.0 

func (o AiMetadataStoreEncryptionSpecPtrOutput) Elem() AiMetadataStoreEncryptionSpecOutput

func (AiMetadataStoreEncryptionSpecPtrOutput) ElementType added in v6.4.0 

func (AiMetadataStoreEncryptionSpecPtrOutput) ElementType() reflect.Type

func (AiMetadataStoreEncryptionSpecPtrOutput) KmsKeyName added in v6.4.0 

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 added in v6.4.0 

func (o AiMetadataStoreEncryptionSpecPtrOutput) ToAiMetadataStoreEncryptionSpecPtrOutput() AiMetadataStoreEncryptionSpecPtrOutput

func (AiMetadataStoreEncryptionSpecPtrOutput) ToAiMetadataStoreEncryptionSpecPtrOutputWithContext added in v6.4.0 

func (o AiMetadataStoreEncryptionSpecPtrOutput) ToAiMetadataStoreEncryptionSpecPtrOutputWithContext(ctx context.Context) AiMetadataStoreEncryptionSpecPtrOutput

type AiMetadataStoreInput added in v6.4.0 

type AiMetadataStoreInput interface {
	pulumi.Input

	ToAiMetadataStoreOutput() AiMetadataStoreOutput
	ToAiMetadataStoreOutputWithContext(ctx context.Context) AiMetadataStoreOutput
}

type AiMetadataStoreMap added in v6.4.0 

type AiMetadataStoreMap map[string]AiMetadataStoreInput

func (AiMetadataStoreMap) ElementType added in v6.4.0 

func (AiMetadataStoreMap) ElementType() reflect.Type

func (AiMetadataStoreMap) ToAiMetadataStoreMapOutput added in v6.4.0 

func (i AiMetadataStoreMap) ToAiMetadataStoreMapOutput() AiMetadataStoreMapOutput

func (AiMetadataStoreMap) ToAiMetadataStoreMapOutputWithContext added in v6.4.0 

func (i AiMetadataStoreMap) ToAiMetadataStoreMapOutputWithContext(ctx context.Context) AiMetadataStoreMapOutput

type AiMetadataStoreMapInput added in v6.4.0 

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 added in v6.4.0 

type AiMetadataStoreMapOutput struct{ *pulumi.OutputState }

func (AiMetadataStoreMapOutput) ElementType added in v6.4.0 

func (AiMetadataStoreMapOutput) ElementType() reflect.Type

func (AiMetadataStoreMapOutput) MapIndex added in v6.4.0 

func (o AiMetadataStoreMapOutput) MapIndex(k pulumi.StringInput) AiMetadataStoreOutput

func (AiMetadataStoreMapOutput) ToAiMetadataStoreMapOutput added in v6.4.0 

func (o AiMetadataStoreMapOutput) ToAiMetadataStoreMapOutput() AiMetadataStoreMapOutput

func (AiMetadataStoreMapOutput) ToAiMetadataStoreMapOutputWithContext added in v6.4.0 

func (o AiMetadataStoreMapOutput) ToAiMetadataStoreMapOutputWithContext(ctx context.Context) AiMetadataStoreMapOutput

type AiMetadataStoreOutput added in v6.4.0 

type AiMetadataStoreOutput struct{ *pulumi.OutputState }

func (AiMetadataStoreOutput) CreateTime added in v6.23.0 

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 added in v6.23.0 

func (o AiMetadataStoreOutput) Description() pulumi.StringPtrOutput

Description of the MetadataStore.

func (AiMetadataStoreOutput) ElementType added in v6.4.0 

func (AiMetadataStoreOutput) ElementType() reflect.Type

func (AiMetadataStoreOutput) EncryptionSpec added in v6.23.0 

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 added in v6.23.0 

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 added in v6.23.0 

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 added in v6.23.0 

func (o AiMetadataStoreOutput) Region() pulumi.StringOutput

The region of the Metadata Store. eg us-central1

func (AiMetadataStoreOutput) States added in v6.23.0 

func (o AiMetadataStoreOutput) States() AiMetadataStoreStateTypeArrayOutput

State information of the MetadataStore.

func (AiMetadataStoreOutput) ToAiMetadataStoreOutput added in v6.4.0 

func (o AiMetadataStoreOutput) ToAiMetadataStoreOutput() AiMetadataStoreOutput

func (AiMetadataStoreOutput) ToAiMetadataStoreOutputWithContext added in v6.4.0 

func (o AiMetadataStoreOutput) ToAiMetadataStoreOutputWithContext(ctx context.Context) AiMetadataStoreOutput

func (AiMetadataStoreOutput) UpdateTime added in v6.23.0 

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 added in v6.4.0 

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.
	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 added in v6.4.0 

func (AiMetadataStoreState) ElementType() reflect.Type

type AiMetadataStoreStateType added in v6.4.0 

type AiMetadataStoreStateType struct {
	DiskUtilizationBytes *string `pulumi:"diskUtilizationBytes"`
}

type AiMetadataStoreStateTypeArgs added in v6.4.0 

type AiMetadataStoreStateTypeArgs struct {
	DiskUtilizationBytes pulumi.StringPtrInput `pulumi:"diskUtilizationBytes"`
}

func (AiMetadataStoreStateTypeArgs) ElementType added in v6.4.0 

func (AiMetadataStoreStateTypeArgs) ElementType() reflect.Type

func (AiMetadataStoreStateTypeArgs) ToAiMetadataStoreStateTypeOutput added in v6.4.0 

func (i AiMetadataStoreStateTypeArgs) ToAiMetadataStoreStateTypeOutput() AiMetadataStoreStateTypeOutput

func (AiMetadataStoreStateTypeArgs) ToAiMetadataStoreStateTypeOutputWithContext added in v6.4.0 

func (i AiMetadataStoreStateTypeArgs) ToAiMetadataStoreStateTypeOutputWithContext(ctx context.Context) AiMetadataStoreStateTypeOutput

type AiMetadataStoreStateTypeArray added in v6.4.0 

type AiMetadataStoreStateTypeArray []AiMetadataStoreStateTypeInput

func (AiMetadataStoreStateTypeArray) ElementType added in v6.4.0 

func (AiMetadataStoreStateTypeArray) ElementType() reflect.Type

func (AiMetadataStoreStateTypeArray) ToAiMetadataStoreStateTypeArrayOutput added in v6.4.0 

func (i AiMetadataStoreStateTypeArray) ToAiMetadataStoreStateTypeArrayOutput() AiMetadataStoreStateTypeArrayOutput

func (AiMetadataStoreStateTypeArray) ToAiMetadataStoreStateTypeArrayOutputWithContext added in v6.4.0 

func (i AiMetadataStoreStateTypeArray) ToAiMetadataStoreStateTypeArrayOutputWithContext(ctx context.Context) AiMetadataStoreStateTypeArrayOutput

type AiMetadataStoreStateTypeArrayInput added in v6.4.0 

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 added in v6.4.0 

type AiMetadataStoreStateTypeArrayOutput struct{ *pulumi.OutputState }

func (AiMetadataStoreStateTypeArrayOutput) ElementType added in v6.4.0 

func (AiMetadataStoreStateTypeArrayOutput) ElementType() reflect.Type

func (AiMetadataStoreStateTypeArrayOutput) Index added in v6.4.0 

func (o AiMetadataStoreStateTypeArrayOutput) Index(i pulumi.IntInput) AiMetadataStoreStateTypeOutput

func (AiMetadataStoreStateTypeArrayOutput) ToAiMetadataStoreStateTypeArrayOutput added in v6.4.0 

func (o AiMetadataStoreStateTypeArrayOutput) ToAiMetadataStoreStateTypeArrayOutput() AiMetadataStoreStateTypeArrayOutput

func (AiMetadataStoreStateTypeArrayOutput) ToAiMetadataStoreStateTypeArrayOutputWithContext added in v6.4.0 

func (o AiMetadataStoreStateTypeArrayOutput) ToAiMetadataStoreStateTypeArrayOutputWithContext(ctx context.Context) AiMetadataStoreStateTypeArrayOutput

type AiMetadataStoreStateTypeInput added in v6.4.0 

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 added in v6.4.0 

type AiMetadataStoreStateTypeOutput struct{ *pulumi.OutputState }

func (AiMetadataStoreStateTypeOutput) DiskUtilizationBytes added in v6.4.0 

func (o AiMetadataStoreStateTypeOutput) DiskUtilizationBytes() pulumi.StringPtrOutput

func (AiMetadataStoreStateTypeOutput) ElementType added in v6.4.0 

func (AiMetadataStoreStateTypeOutput) ElementType() reflect.Type

func (AiMetadataStoreStateTypeOutput) ToAiMetadataStoreStateTypeOutput added in v6.4.0 

func (o AiMetadataStoreStateTypeOutput) ToAiMetadataStoreStateTypeOutput() AiMetadataStoreStateTypeOutput

func (AiMetadataStoreStateTypeOutput) ToAiMetadataStoreStateTypeOutputWithContext added in v6.4.0 

func (o AiMetadataStoreStateTypeOutput) ToAiMetadataStoreStateTypeOutputWithContext(ctx context.Context) AiMetadataStoreStateTypeOutput

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