Ai Metadata Store
Example Usage
Vertex Ai Metadata Store
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const store = new gcp.vertex.AiMetadataStore("store", {
name: "test-store",
description: "Store to test the terraform module",
region: "us-central1",
});
import pulumi
import pulumi_gcp as gcp
store = gcp.vertex.AiMetadataStore("store",
name="test-store",
description="Store to test the terraform module",
region="us-central1")
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
var store = new Gcp.Vertex.AiMetadataStore("store", new()
{
Name = "test-store",
Description = "Store to test the terraform module",
Region = "us-central1",
});
});
package main
import (
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := vertex.NewAiMetadataStore(ctx, "store", &vertex.AiMetadataStoreArgs{
Name: pulumi.String("test-store"),
Description: pulumi.String("Store to test the terraform module"),
Region: pulumi.String("us-central1"),
})
if err != nil {
return err
}
return nil
})
}
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.vertex.AiMetadataStore;
import com.pulumi.gcp.vertex.AiMetadataStoreArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var store = new AiMetadataStore("store", AiMetadataStoreArgs.builder()
.name("test-store")
.description("Store to test the terraform module")
.region("us-central1")
.build());
}
}
resources:
store:
type: gcp:vertex:AiMetadataStore
properties:
name: test-store
description: Store to test the terraform module
region: us-central1
Import
MetadataStore can be imported using any of these accepted formats:
projects/{{project}}/locations/{{region}}/metadataStores/{{name}}
{{project}}/{{region}}/{{name}}
{{region}}/{{name}}
{{name}}
When using thepulumi import
command, MetadataStore can be imported using one of the formats above. For example:
$ pulumi import gcp:vertex/aiMetadataStore:AiMetadataStore default projects/{{project}}/locations/{{region}}/metadataStores/{{name}}
$ pulumi import gcp:vertex/aiMetadataStore:AiMetadataStore default {{project}}/{{region}}/{{name}}
$ pulumi import gcp:vertex/aiMetadataStore:AiMetadataStore default {{region}}/{{name}}
$ pulumi import gcp:vertex/aiMetadataStore:AiMetadataStore default {{name}}
Properties
The timestamp of when the MetadataStore was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
Description of the MetadataStore.
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.
State information of the MetadataStore. Structure is documented below.
The timestamp of when the MetadataStore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.