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:

Example Usage

Vertex Ai Featurestore

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const featurestore = new gcp.vertex.AiFeatureStore("featurestore", {
    name: "terraform",
    labels: {
        foo: "bar",
    },
    region: "us-central1",
    onlineServingConfig: {
        fixedNodeCount: 2,
    },
    encryptionSpec: {
        kmsKeyName: "kms-name",
    },
    forceDestroy: true,
});
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import pulumi
import pulumi_gcp as gcp
featurestore = gcp.vertex.AiFeatureStore("featurestore",
    name="terraform",
    labels={
        "foo": "bar",
    },
    region="us-central1",
    online_serving_config={
        "fixed_node_count": 2,
    },
    encryption_spec={
        "kms_key_name": "kms-name",
    },
    force_destroy=True)
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using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
    var featurestore = new Gcp.Vertex.AiFeatureStore("featurestore", new()
    {
        Name = "terraform",
        Labels =
        {
            { "foo", "bar" },
        },
        Region = "us-central1",
        OnlineServingConfig = new Gcp.Vertex.Inputs.AiFeatureStoreOnlineServingConfigArgs
        {
            FixedNodeCount = 2,
        },
        EncryptionSpec = new Gcp.Vertex.Inputs.AiFeatureStoreEncryptionSpecArgs
        {
            KmsKeyName = "kms-name",
        },
        ForceDestroy = true,
    });
});
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package main
import (
	"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiFeatureStore(ctx, "featurestore", &vertex.AiFeatureStoreArgs{
			Name: pulumi.String("terraform"),
			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"),
			},
			ForceDestroy: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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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.AiFeatureStoreOnlineServingConfigArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureStoreEncryptionSpecArgs;
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()
            .name("terraform")
            .labels(Map.of("foo", "bar"))
            .region("us-central1")
            .onlineServingConfig(AiFeatureStoreOnlineServingConfigArgs.builder()
                .fixedNodeCount(2)
                .build())
            .encryptionSpec(AiFeatureStoreEncryptionSpecArgs.builder()
                .kmsKeyName("kms-name")
                .build())
            .forceDestroy(true)
            .build());
    }
}
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resources:
  featurestore:
    type: gcp:vertex:AiFeatureStore
    properties:
      name: terraform
      labels:
        foo: bar
      region: us-central1
      onlineServingConfig:
        fixedNodeCount: 2
      encryptionSpec:
        kmsKeyName: kms-name
      forceDestroy: true
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Vertex Ai Featurestore With Beta Fields

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const featurestore = new gcp.vertex.AiFeatureStore("featurestore", {
    name: "terraform2",
    labels: {
        foo: "bar",
    },
    region: "us-central1",
    onlineServingConfig: {
        fixedNodeCount: 2,
    },
    encryptionSpec: {
        kmsKeyName: "kms-name",
    },
    onlineStorageTtlDays: 30,
    forceDestroy: true,
});
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import pulumi
import pulumi_gcp as gcp
featurestore = gcp.vertex.AiFeatureStore("featurestore",
    name="terraform2",
    labels={
        "foo": "bar",
    },
    region="us-central1",
    online_serving_config={
        "fixed_node_count": 2,
    },
    encryption_spec={
        "kms_key_name": "kms-name",
    },
    online_storage_ttl_days=30,
    force_destroy=True)
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using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
    var featurestore = new Gcp.Vertex.AiFeatureStore("featurestore", new()
    {
        Name = "terraform2",
        Labels =
        {
            { "foo", "bar" },
        },
        Region = "us-central1",
        OnlineServingConfig = new Gcp.Vertex.Inputs.AiFeatureStoreOnlineServingConfigArgs
        {
            FixedNodeCount = 2,
        },
        EncryptionSpec = new Gcp.Vertex.Inputs.AiFeatureStoreEncryptionSpecArgs
        {
            KmsKeyName = "kms-name",
        },
        OnlineStorageTtlDays = 30,
        ForceDestroy = true,
    });
});
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package main
import (
	"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiFeatureStore(ctx, "featurestore", &vertex.AiFeatureStoreArgs{
			Name: pulumi.String("terraform2"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			OnlineServingConfig: &vertex.AiFeatureStoreOnlineServingConfigArgs{
				FixedNodeCount: pulumi.Int(2),
			},
			EncryptionSpec: &vertex.AiFeatureStoreEncryptionSpecArgs{
				KmsKeyName: pulumi.String("kms-name"),
			},
			OnlineStorageTtlDays: pulumi.Int(30),
			ForceDestroy:         pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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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.AiFeatureStoreOnlineServingConfigArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureStoreEncryptionSpecArgs;
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()
            .name("terraform2")
            .labels(Map.of("foo", "bar"))
            .region("us-central1")
            .onlineServingConfig(AiFeatureStoreOnlineServingConfigArgs.builder()
                .fixedNodeCount(2)
                .build())
            .encryptionSpec(AiFeatureStoreEncryptionSpecArgs.builder()
                .kmsKeyName("kms-name")
                .build())
            .onlineStorageTtlDays(30)
            .forceDestroy(true)
            .build());
    }
}
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resources:
  featurestore:
    type: gcp:vertex:AiFeatureStore
    properties:
      name: terraform2
      labels:
        foo: bar
      region: us-central1
      onlineServingConfig:
        fixedNodeCount: 2
      encryptionSpec:
        kmsKeyName: kms-name
      onlineStorageTtlDays: 30
      forceDestroy: true
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Vertex Ai Featurestore Scaling

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const featurestore = new gcp.vertex.AiFeatureStore("featurestore", {
    name: "terraform3",
    labels: {
        foo: "bar",
    },
    region: "us-central1",
    onlineServingConfig: {
        scaling: {
            minNodeCount: 2,
            maxNodeCount: 10,
        },
    },
    encryptionSpec: {
        kmsKeyName: "kms-name",
    },
    forceDestroy: true,
});
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import pulumi
import pulumi_gcp as gcp
featurestore = gcp.vertex.AiFeatureStore("featurestore",
    name="terraform3",
    labels={
        "foo": "bar",
    },
    region="us-central1",
    online_serving_config={
        "scaling": {
            "min_node_count": 2,
            "max_node_count": 10,
        },
    },
    encryption_spec={
        "kms_key_name": "kms-name",
    },
    force_destroy=True)
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using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
    var featurestore = new Gcp.Vertex.AiFeatureStore("featurestore", new()
    {
        Name = "terraform3",
        Labels =
        {
            { "foo", "bar" },
        },
        Region = "us-central1",
        OnlineServingConfig = new Gcp.Vertex.Inputs.AiFeatureStoreOnlineServingConfigArgs
        {
            Scaling = new Gcp.Vertex.Inputs.AiFeatureStoreOnlineServingConfigScalingArgs
            {
                MinNodeCount = 2,
                MaxNodeCount = 10,
            },
        },
        EncryptionSpec = new Gcp.Vertex.Inputs.AiFeatureStoreEncryptionSpecArgs
        {
            KmsKeyName = "kms-name",
        },
        ForceDestroy = true,
    });
});
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package main
import (
	"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiFeatureStore(ctx, "featurestore", &vertex.AiFeatureStoreArgs{
			Name: pulumi.String("terraform3"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			OnlineServingConfig: &vertex.AiFeatureStoreOnlineServingConfigArgs{
				Scaling: &vertex.AiFeatureStoreOnlineServingConfigScalingArgs{
					MinNodeCount: pulumi.Int(2),
					MaxNodeCount: pulumi.Int(10),
				},
			},
			EncryptionSpec: &vertex.AiFeatureStoreEncryptionSpecArgs{
				KmsKeyName: pulumi.String("kms-name"),
			},
			ForceDestroy: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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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.AiFeatureStoreOnlineServingConfigArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureStoreOnlineServingConfigScalingArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureStoreEncryptionSpecArgs;
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()
            .name("terraform3")
            .labels(Map.of("foo", "bar"))
            .region("us-central1")
            .onlineServingConfig(AiFeatureStoreOnlineServingConfigArgs.builder()
                .scaling(AiFeatureStoreOnlineServingConfigScalingArgs.builder()
                    .minNodeCount(2)
                    .maxNodeCount(10)
                    .build())
                .build())
            .encryptionSpec(AiFeatureStoreEncryptionSpecArgs.builder()
                .kmsKeyName("kms-name")
                .build())
            .forceDestroy(true)
            .build());
    }
}
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resources:
  featurestore:
    type: gcp:vertex:AiFeatureStore
    properties:
      name: terraform3
      labels:
        foo: bar
      region: us-central1
      onlineServingConfig:
        scaling:
          minNodeCount: 2
          maxNodeCount: 10
      encryptionSpec:
        kmsKeyName: kms-name
      forceDestroy: true
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Import

Featurestore can be imported using any of these accepted formats:

  • projects/{{project}}/locations/{{region}}/featurestores/{{name}}

  • {{project}}/{{region}}/{{name}}

  • {{region}}/{{name}}

  • {{name}} When using the pulumi import command, Featurestore can be imported using one of the formats above. For example:

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

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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.

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val effectiveLabels: Output<Map<String, String>>

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

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val encryptionSpec: Output<AiFeatureStoreEncryptionSpec>?

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

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val etag: Output<String>

Used to perform consistent read-modify-write updates.

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val forceDestroy: Output<Boolean>?

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

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

A set of key/value label pairs to assign to this Featurestore. Note: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field effective_labels for all of the labels present on the resource.

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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.

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val onlineServingConfig: Output<AiFeatureStoreOnlineServingConfig>?

Config for online serving resources. Structure is documented below.

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val onlineStorageTtlDays: Output<Int>?

TTL in days for feature values that will be stored in online serving storage. The Feature Store online storage periodically removes obsolete feature values older than onlineStorageTtlDays since the feature generation time. Note that onlineStorageTtlDays should be less than or equal to offlineStorageTtlDays for each EntityType under a featurestore. If not set, default to 4000 days

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val project: Output<String>

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

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val pulumiChildResources: Set<KotlinResource>
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val pulumiLabels: Output<Map<String, String>>

The combination of labels configured directly on the resource and default labels configured on the provider.

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val region: Output<String>

The region of the dataset. eg us-central1

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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.

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val urn: Output<String>