vertex

package
v6.2.0 Latest Latest
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 Go to latest Published: Nov 22, 2021 License: Apache-2.0 Imports: 7 Imported by: 0

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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

func (*AiDataset) ToAiDatasetPtrOutput 

func (i *AiDataset) ToAiDatasetPtrOutput() AiDatasetPtrOutput

func (*AiDataset) ToAiDatasetPtrOutputWithContext 

func (i *AiDataset) ToAiDatasetPtrOutputWithContext(ctx context.Context) AiDatasetPtrOutput

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) ElementType 

func (AiDatasetOutput) ElementType() reflect.Type

func (AiDatasetOutput) ToAiDatasetOutput 

func (o AiDatasetOutput) ToAiDatasetOutput() AiDatasetOutput

func (AiDatasetOutput) ToAiDatasetOutputWithContext 

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

func (AiDatasetOutput) ToAiDatasetPtrOutput 

func (o AiDatasetOutput) ToAiDatasetPtrOutput() AiDatasetPtrOutput

func (AiDatasetOutput) ToAiDatasetPtrOutputWithContext 

func (o AiDatasetOutput) ToAiDatasetPtrOutputWithContext(ctx context.Context) AiDatasetPtrOutput

type AiDatasetPtrInput 

type AiDatasetPtrInput interface {
	pulumi.Input

	ToAiDatasetPtrOutput() AiDatasetPtrOutput
	ToAiDatasetPtrOutputWithContext(ctx context.Context) AiDatasetPtrOutput
}

type AiDatasetPtrOutput 

type AiDatasetPtrOutput struct{ *pulumi.OutputState }

func (AiDatasetPtrOutput) Elem 

func (o AiDatasetPtrOutput) Elem() AiDatasetOutput

func (AiDatasetPtrOutput) ElementType 

func (AiDatasetPtrOutput) ElementType() reflect.Type

func (AiDatasetPtrOutput) ToAiDatasetPtrOutput 

func (o AiDatasetPtrOutput) ToAiDatasetPtrOutput() AiDatasetPtrOutput

func (AiDatasetPtrOutput) ToAiDatasetPtrOutputWithContext 

func (o AiDatasetPtrOutput) ToAiDatasetPtrOutputWithContext(ctx context.Context) AiDatasetPtrOutput

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 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"`
	// 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"`
}

## 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

func (*AiFeatureStore) ToAiFeatureStorePtrOutput 

func (i *AiFeatureStore) ToAiFeatureStorePtrOutput() AiFeatureStorePtrOutput

func (*AiFeatureStore) ToAiFeatureStorePtrOutputWithContext 

func (i *AiFeatureStore) ToAiFeatureStorePtrOutputWithContext(ctx context.Context) AiFeatureStorePtrOutput

type AiFeatureStoreArgs 

type AiFeatureStoreArgs struct {
	// 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 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"`
}

## 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

func (*AiFeatureStoreEntityType) ToAiFeatureStoreEntityTypePtrOutput 

func (i *AiFeatureStoreEntityType) ToAiFeatureStoreEntityTypePtrOutput() AiFeatureStoreEntityTypePtrOutput

func (*AiFeatureStoreEntityType) ToAiFeatureStoreEntityTypePtrOutputWithContext 

func (i *AiFeatureStoreEntityType) ToAiFeatureStoreEntityTypePtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypePtrOutput

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 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"`
	// Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day.
	// A duration in seconds with up to nine fractional digits, terminated by 's'. Example: "3.5s".
	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"`
	// Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day.
	// A duration in seconds with up to nine fractional digits, terminated by 's'. Example: "3.5s".
	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 

func (o AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisOutput) MonitoringInterval() pulumi.StringPtrOutput

Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day. A duration in seconds with up to nine fractional digits, terminated by 's'. Example: "3.5s".

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 

func (o AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisPtrOutput) MonitoringInterval() pulumi.StringPtrOutput

Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day. A duration in seconds with up to nine fractional digits, terminated by 's'. Example: "3.5s".

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) ElementType 

func (AiFeatureStoreEntityTypeOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypeOutput) ToAiFeatureStoreEntityTypeOutput 

func (o AiFeatureStoreEntityTypeOutput) ToAiFeatureStoreEntityTypeOutput() AiFeatureStoreEntityTypeOutput

func (AiFeatureStoreEntityTypeOutput) ToAiFeatureStoreEntityTypeOutputWithContext 

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

func (AiFeatureStoreEntityTypeOutput) ToAiFeatureStoreEntityTypePtrOutput 

func (o AiFeatureStoreEntityTypeOutput) ToAiFeatureStoreEntityTypePtrOutput() AiFeatureStoreEntityTypePtrOutput

func (AiFeatureStoreEntityTypeOutput) ToAiFeatureStoreEntityTypePtrOutputWithContext 

func (o AiFeatureStoreEntityTypeOutput) ToAiFeatureStoreEntityTypePtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypePtrOutput

type AiFeatureStoreEntityTypePtrInput 

type AiFeatureStoreEntityTypePtrInput interface {
	pulumi.Input

	ToAiFeatureStoreEntityTypePtrOutput() AiFeatureStoreEntityTypePtrOutput
	ToAiFeatureStoreEntityTypePtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypePtrOutput
}

type AiFeatureStoreEntityTypePtrOutput 

type AiFeatureStoreEntityTypePtrOutput struct{ *pulumi.OutputState }

func (AiFeatureStoreEntityTypePtrOutput) Elem 

func (o AiFeatureStoreEntityTypePtrOutput) Elem() AiFeatureStoreEntityTypeOutput

func (AiFeatureStoreEntityTypePtrOutput) ElementType 

func (AiFeatureStoreEntityTypePtrOutput) ElementType() reflect.Type

func (AiFeatureStoreEntityTypePtrOutput) ToAiFeatureStoreEntityTypePtrOutput 

func (o AiFeatureStoreEntityTypePtrOutput) ToAiFeatureStoreEntityTypePtrOutput() AiFeatureStoreEntityTypePtrOutput

func (AiFeatureStoreEntityTypePtrOutput) ToAiFeatureStoreEntityTypePtrOutputWithContext 

func (o AiFeatureStoreEntityTypePtrOutput) ToAiFeatureStoreEntityTypePtrOutputWithContext(ctx context.Context) AiFeatureStoreEntityTypePtrOutput

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 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) ElementType 

func (AiFeatureStoreOutput) ElementType() reflect.Type

func (AiFeatureStoreOutput) ToAiFeatureStoreOutput 

func (o AiFeatureStoreOutput) ToAiFeatureStoreOutput() AiFeatureStoreOutput

func (AiFeatureStoreOutput) ToAiFeatureStoreOutputWithContext 

func (o AiFeatureStoreOutput) ToAiFeatureStoreOutputWithContext(ctx context.Context) AiFeatureStoreOutput

func (AiFeatureStoreOutput) ToAiFeatureStorePtrOutput 

func (o AiFeatureStoreOutput) ToAiFeatureStorePtrOutput() AiFeatureStorePtrOutput

func (AiFeatureStoreOutput) ToAiFeatureStorePtrOutputWithContext 

func (o AiFeatureStoreOutput) ToAiFeatureStorePtrOutputWithContext(ctx context.Context) AiFeatureStorePtrOutput

type AiFeatureStorePtrInput 

type AiFeatureStorePtrInput interface {
	pulumi.Input

	ToAiFeatureStorePtrOutput() AiFeatureStorePtrOutput
	ToAiFeatureStorePtrOutputWithContext(ctx context.Context) AiFeatureStorePtrOutput
}

type AiFeatureStorePtrOutput 

type AiFeatureStorePtrOutput struct{ *pulumi.OutputState }

func (AiFeatureStorePtrOutput) Elem 

func (o AiFeatureStorePtrOutput) Elem() AiFeatureStoreOutput

func (AiFeatureStorePtrOutput) ElementType 

func (AiFeatureStorePtrOutput) ElementType() reflect.Type

func (AiFeatureStorePtrOutput) ToAiFeatureStorePtrOutput 

func (o AiFeatureStorePtrOutput) ToAiFeatureStorePtrOutput() AiFeatureStorePtrOutput

func (AiFeatureStorePtrOutput) ToAiFeatureStorePtrOutputWithContext 

func (o AiFeatureStorePtrOutput) ToAiFeatureStorePtrOutputWithContext(ctx context.Context) AiFeatureStorePtrOutput

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
	// 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

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