pulumi-gcp-kotlin/com.pulumi.gcp.vertex.kotlin/AiFeatureStore

AiFeatureStore

class AiFeatureStore : KotlinCustomResource

A collection of DataItems and Annotations on them. To get more information about Featurestore, see:

API documentation
How-to Guides

Official Documentation

Example Usage

Vertex Ai Featurestore

package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.vertex.AiFeatureStore;
import com.pulumi.gcp.vertex.AiFeatureStoreArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureStoreEncryptionSpecArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureStoreOnlineServingConfigArgs;
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 featurestore = new AiFeatureStore("featurestore", AiFeatureStoreArgs.builder()
            .encryptionSpec(AiFeatureStoreEncryptionSpecArgs.builder()
                .kmsKeyName("kms-name")
                .build())
            .forceDestroy(true)
            .labels(Map.of("foo", "bar"))
            .onlineServingConfig(AiFeatureStoreOnlineServingConfigArgs.builder()
                .fixedNodeCount(2)
                .build())
            .region("us-central1")
            .build());
    }
}

Vertex Ai Featurestore Scaling

package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.vertex.AiFeatureStore;
import com.pulumi.gcp.vertex.AiFeatureStoreArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureStoreEncryptionSpecArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureStoreOnlineServingConfigArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureStoreOnlineServingConfigScalingArgs;
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 featurestore = new AiFeatureStore("featurestore", AiFeatureStoreArgs.builder()
            .encryptionSpec(AiFeatureStoreEncryptionSpecArgs.builder()
                .kmsKeyName("kms-name")
                .build())
            .forceDestroy(true)
            .labels(Map.of("foo", "bar"))
            .onlineServingConfig(AiFeatureStoreOnlineServingConfigArgs.builder()
                .scaling(AiFeatureStoreOnlineServingConfigScalingArgs.builder()
                    .maxNodeCount(10)
                    .minNodeCount(2)
                    .build())
                .build())
            .region("us-central1")
            .build());
    }
}

Import

Featurestore can be imported using any of these accepted formats

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

$ pulumi import gcp:vertex/aiFeatureStore:AiFeatureStore default {{project}}/{{region}}/{{name}}

$ pulumi import gcp:vertex/aiFeatureStore:AiFeatureStore default {{region}}/{{name}}

$ pulumi import gcp:vertex/aiFeatureStore:AiFeatureStore default {{name}}

Properties

createTime

val createTime: Output<String>

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

encryptionSpec

val encryptionSpec: Output<AiFeatureStoreEncryptionSpec>?

If set, both of the online and offline data storage will be secured by this key. Structure is documented below.

etag

val etag: Output<String>

Used to perform consistent read-modify-write updates.

forceDestroy

val forceDestroy: Output<Boolean>?

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

val id: Output<String>

labels

val labels: Output<Map<String, String>>?

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

name

val name: Output<String>

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.

onlineServingConfig

val onlineServingConfig: Output<AiFeatureStoreOnlineServingConfig>?

Config for online serving resources. Structure is documented below.

project

val project: Output<String>

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

pulumiChildResources

val pulumiChildResources: Set<KotlinResource>

pulumiResourceName

val pulumiResourceName: String

pulumiResourceType

val pulumiResourceType: String

region

val region: Output<String>

The region of the dataset. eg us-central1

updateTime

val updateTime: Output<String>

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

urn

val urn: Output<String>