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

AiFeatureOnlineStoreArgs

data class AiFeatureOnlineStoreArgs(val bigtable: Output<AiFeatureOnlineStoreBigtableArgs>? = null, val dedicatedServingEndpoint: Output<AiFeatureOnlineStoreDedicatedServingEndpointArgs>? = null, val embeddingManagement: Output<AiFeatureOnlineStoreEmbeddingManagementArgs>? = null, val forceDestroy: Output<Boolean>? = null, val labels: Output<Map<String, String>>? = null, val name: Output<String>? = null, val optimized: Output<AiFeatureOnlineStoreOptimizedArgs>? = null, val project: Output<String>? = null, val region: Output<String>? = null) : ConvertibleToJava<AiFeatureOnlineStoreArgs>

Vertex AI Feature Online Store provides a centralized repository for serving ML features and embedding indexes at low latency. The Feature Online Store is a top-level container. To get more information about FeatureOnlineStore, see:

Example Usage

Vertex Ai Feature Online Store

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const featureOnlineStore = new gcp.vertex.AiFeatureOnlineStore("feature_online_store", {
    name: "example_feature_online_store",
    labels: {
        foo: "bar",
    },
    region: "us-central1",
    bigtable: {
        autoScaling: {
            minNodeCount: 1,
            maxNodeCount: 3,
            cpuUtilizationTarget: 50,
        },
    },
});
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import pulumi
import pulumi_gcp as gcp
feature_online_store = gcp.vertex.AiFeatureOnlineStore("feature_online_store",
    name="example_feature_online_store",
    labels={
        "foo": "bar",
    },
    region="us-central1",
    bigtable={
        "auto_scaling": {
            "min_node_count": 1,
            "max_node_count": 3,
            "cpu_utilization_target": 50,
        },
    })
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using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
    var featureOnlineStore = new Gcp.Vertex.AiFeatureOnlineStore("feature_online_store", new()
    {
        Name = "example_feature_online_store",
        Labels =
        {
            { "foo", "bar" },
        },
        Region = "us-central1",
        Bigtable = new Gcp.Vertex.Inputs.AiFeatureOnlineStoreBigtableArgs
        {
            AutoScaling = new Gcp.Vertex.Inputs.AiFeatureOnlineStoreBigtableAutoScalingArgs
            {
                MinNodeCount = 1,
                MaxNodeCount = 3,
                CpuUtilizationTarget = 50,
            },
        },
    });
});
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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.NewAiFeatureOnlineStore(ctx, "feature_online_store", &vertex.AiFeatureOnlineStoreArgs{
			Name: pulumi.String("example_feature_online_store"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			Bigtable: &vertex.AiFeatureOnlineStoreBigtableArgs{
				AutoScaling: &vertex.AiFeatureOnlineStoreBigtableAutoScalingArgs{
					MinNodeCount:         pulumi.Int(1),
					MaxNodeCount:         pulumi.Int(3),
					CpuUtilizationTarget: pulumi.Int(50),
				},
			},
		})
		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.AiFeatureOnlineStore;
import com.pulumi.gcp.vertex.AiFeatureOnlineStoreArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureOnlineStoreBigtableArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureOnlineStoreBigtableAutoScalingArgs;
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 featureOnlineStore = new AiFeatureOnlineStore("featureOnlineStore", AiFeatureOnlineStoreArgs.builder()
            .name("example_feature_online_store")
            .labels(Map.of("foo", "bar"))
            .region("us-central1")
            .bigtable(AiFeatureOnlineStoreBigtableArgs.builder()
                .autoScaling(AiFeatureOnlineStoreBigtableAutoScalingArgs.builder()
                    .minNodeCount(1)
                    .maxNodeCount(3)
                    .cpuUtilizationTarget(50)
                    .build())
                .build())
            .build());
    }
}
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resources:
  featureOnlineStore:
    type: gcp:vertex:AiFeatureOnlineStore
    name: feature_online_store
    properties:
      name: example_feature_online_store
      labels:
        foo: bar
      region: us-central1
      bigtable:
        autoScaling:
          minNodeCount: 1
          maxNodeCount: 3
          cpuUtilizationTarget: 50
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Vertex Ai Featureonlinestore With Optimized

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const project = gcp.organizations.getProject({});
const featureonlinestore = new gcp.vertex.AiFeatureOnlineStore("featureonlinestore", {
    name: "example_feature_online_store_optimized",
    labels: {
        foo: "bar",
    },
    region: "us-central1",
    optimized: {},
    dedicatedServingEndpoint: {
        privateServiceConnectConfig: {
            enablePrivateServiceConnect: true,
            projectAllowlists: [project&#46;then(project => project&#46;number)],
        },
    },
});
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import pulumi
import pulumi_gcp as gcp
project = gcp.organizations.get_project()
featureonlinestore = gcp.vertex.AiFeatureOnlineStore("featureonlinestore",
    name="example_feature_online_store_optimized",
    labels={
        "foo": "bar",
    },
    region="us-central1",
    optimized={},
    dedicated_serving_endpoint={
        "private_service_connect_config": {
            "enable_private_service_connect": True,
            "project_allowlists": [project&#46;number],
        },
    })
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using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
    var project = Gcp.Organizations.GetProject.Invoke();
    var featureonlinestore = new Gcp.Vertex.AiFeatureOnlineStore("featureonlinestore", new()
    {
        Name = "example_feature_online_store_optimized",
        Labels =
        {
            { "foo", "bar" },
        },
        Region = "us-central1",
        Optimized = null,
        DedicatedServingEndpoint = new Gcp.Vertex.Inputs.AiFeatureOnlineStoreDedicatedServingEndpointArgs
        {
            PrivateServiceConnectConfig = new Gcp.Vertex.Inputs.AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs
            {
                EnablePrivateServiceConnect = true,
                ProjectAllowlists = new[]
                {
                    project.Apply(getProjectResult => getProjectResult.Number),
                },
            },
        },
    });
});
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package main
import (
	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/organizations"
	"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 {
		project, err := organizations.LookupProject(ctx, &organizations.LookupProjectArgs{}, nil)
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureOnlineStore(ctx, "featureonlinestore", &vertex.AiFeatureOnlineStoreArgs{
			Name: pulumi.String("example_feature_online_store_optimized"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region:    pulumi.String("us-central1"),
			Optimized: &vertex.AiFeatureOnlineStoreOptimizedArgs{},
			DedicatedServingEndpoint: &vertex.AiFeatureOnlineStoreDedicatedServingEndpointArgs{
				PrivateServiceConnectConfig: &vertex.AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs{
					EnablePrivateServiceConnect: pulumi.Bool(true),
					ProjectAllowlists: pulumi.StringArray{
						pulumi.String(project.Number),
					},
				},
			},
		})
		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.organizations.OrganizationsFunctions;
import com.pulumi.gcp.organizations.inputs.GetProjectArgs;
import com.pulumi.gcp.vertex.AiFeatureOnlineStore;
import com.pulumi.gcp.vertex.AiFeatureOnlineStoreArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureOnlineStoreOptimizedArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureOnlineStoreDedicatedServingEndpointArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs;
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) {
        final var project = OrganizationsFunctions.getProject(GetProjectArgs.builder()
            .build());
        var featureonlinestore = new AiFeatureOnlineStore("featureonlinestore", AiFeatureOnlineStoreArgs.builder()
            .name("example_feature_online_store_optimized")
            .labels(Map.of("foo", "bar"))
            .region("us-central1")
            .optimized(AiFeatureOnlineStoreOptimizedArgs.builder()
                .build())
            .dedicatedServingEndpoint(AiFeatureOnlineStoreDedicatedServingEndpointArgs.builder()
                .privateServiceConnectConfig(AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs.builder()
                    .enablePrivateServiceConnect(true)
                    .projectAllowlists(project.number())
                    .build())
                .build())
            .build());
    }
}
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resources:
  featureonlinestore:
    type: gcp:vertex:AiFeatureOnlineStore
    properties:
      name: example_feature_online_store_optimized
      labels:
        foo: bar
      region: us-central1
      optimized: {}
      dedicatedServingEndpoint:
        privateServiceConnectConfig:
          enablePrivateServiceConnect: true
          projectAllowlists:
            - ${project.number}
variables:
  project:
    fn::invoke:
      function: gcp:organizations:getProject
      arguments: {}
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Vertex Ai Featureonlinestore With Beta Fields Bigtable

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const featureonlinestore = new gcp.vertex.AiFeatureOnlineStore("featureonlinestore", {
    name: "example_feature_online_store_beta_bigtable",
    labels: {
        foo: "bar",
    },
    region: "us-central1",
    bigtable: {
        autoScaling: {
            minNodeCount: 1,
            maxNodeCount: 2,
            cpuUtilizationTarget: 80,
        },
    },
    embeddingManagement: {
        enabled: true,
    },
    forceDestroy: true,
});
const project = gcp.organizations.getProject({});
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import pulumi
import pulumi_gcp as gcp
featureonlinestore = gcp.vertex.AiFeatureOnlineStore("featureonlinestore",
    name="example_feature_online_store_beta_bigtable",
    labels={
        "foo": "bar",
    },
    region="us-central1",
    bigtable={
        "auto_scaling": {
            "min_node_count": 1,
            "max_node_count": 2,
            "cpu_utilization_target": 80,
        },
    },
    embedding_management={
        "enabled": True,
    },
    force_destroy=True)
project = gcp.organizations.get_project()
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using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
    var featureonlinestore = new Gcp.Vertex.AiFeatureOnlineStore("featureonlinestore", new()
    {
        Name = "example_feature_online_store_beta_bigtable",
        Labels =
        {
            { "foo", "bar" },
        },
        Region = "us-central1",
        Bigtable = new Gcp.Vertex.Inputs.AiFeatureOnlineStoreBigtableArgs
        {
            AutoScaling = new Gcp.Vertex.Inputs.AiFeatureOnlineStoreBigtableAutoScalingArgs
            {
                MinNodeCount = 1,
                MaxNodeCount = 2,
                CpuUtilizationTarget = 80,
            },
        },
        EmbeddingManagement = new Gcp.Vertex.Inputs.AiFeatureOnlineStoreEmbeddingManagementArgs
        {
            Enabled = true,
        },
        ForceDestroy = true,
    });
    var project = Gcp.Organizations.GetProject.Invoke();
});
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package main
import (
	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/organizations"
	"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.NewAiFeatureOnlineStore(ctx, "featureonlinestore", &vertex.AiFeatureOnlineStoreArgs{
			Name: pulumi.String("example_feature_online_store_beta_bigtable"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			Bigtable: &vertex.AiFeatureOnlineStoreBigtableArgs{
				AutoScaling: &vertex.AiFeatureOnlineStoreBigtableAutoScalingArgs{
					MinNodeCount:         pulumi.Int(1),
					MaxNodeCount:         pulumi.Int(2),
					CpuUtilizationTarget: pulumi.Int(80),
				},
			},
			EmbeddingManagement: &vertex.AiFeatureOnlineStoreEmbeddingManagementArgs{
				Enabled: pulumi.Bool(true),
			},
			ForceDestroy: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		_, err = organizations.LookupProject(ctx, &organizations.LookupProjectArgs{}, nil)
		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.AiFeatureOnlineStore;
import com.pulumi.gcp.vertex.AiFeatureOnlineStoreArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureOnlineStoreBigtableArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureOnlineStoreBigtableAutoScalingArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureOnlineStoreEmbeddingManagementArgs;
import com.pulumi.gcp.organizations.OrganizationsFunctions;
import com.pulumi.gcp.organizations.inputs.GetProjectArgs;
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 featureonlinestore = new AiFeatureOnlineStore("featureonlinestore", AiFeatureOnlineStoreArgs.builder()
            .name("example_feature_online_store_beta_bigtable")
            .labels(Map.of("foo", "bar"))
            .region("us-central1")
            .bigtable(AiFeatureOnlineStoreBigtableArgs.builder()
                .autoScaling(AiFeatureOnlineStoreBigtableAutoScalingArgs.builder()
                    .minNodeCount(1)
                    .maxNodeCount(2)
                    .cpuUtilizationTarget(80)
                    .build())
                .build())
            .embeddingManagement(AiFeatureOnlineStoreEmbeddingManagementArgs.builder()
                .enabled(true)
                .build())
            .forceDestroy(true)
            .build());
        final var project = OrganizationsFunctions.getProject(GetProjectArgs.builder()
            .build());
    }
}
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resources:
  featureonlinestore:
    type: gcp:vertex:AiFeatureOnlineStore
    properties:
      name: example_feature_online_store_beta_bigtable
      labels:
        foo: bar
      region: us-central1
      bigtable:
        autoScaling:
          minNodeCount: 1
          maxNodeCount: 2
          cpuUtilizationTarget: 80
      embeddingManagement:
        enabled: true
      forceDestroy: true
variables:
  project:
    fn::invoke:
      function: gcp:organizations:getProject
      arguments: {}
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Import

FeatureOnlineStore can be imported using any of these accepted formats:

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

  • {{project}}/{{region}}/{{name}}

  • {{region}}/{{name}}

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

$ pulumi import gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore default projects/{{project}}/locations/{{region}}/featureOnlineStores/{{name}}
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$ pulumi import gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore default {{project}}/{{region}}/{{name}}
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$ pulumi import gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore default {{region}}/{{name}}
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$ pulumi import gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore default {{name}}
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Constructors

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constructor(bigtable: Output<AiFeatureOnlineStoreBigtableArgs>? = null, dedicatedServingEndpoint: Output<AiFeatureOnlineStoreDedicatedServingEndpointArgs>? = null, embeddingManagement: Output<AiFeatureOnlineStoreEmbeddingManagementArgs>? = null, forceDestroy: Output<Boolean>? = null, labels: Output<Map<String, String>>? = null, name: Output<String>? = null, optimized: Output<AiFeatureOnlineStoreOptimizedArgs>? = null, project: Output<String>? = null, region: Output<String>? = null)

Properties

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val bigtable: Output<AiFeatureOnlineStoreBigtableArgs>? = null

Settings for Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. Structure is documented below.

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val dedicatedServingEndpoint: Output<AiFeatureOnlineStoreDedicatedServingEndpointArgs>? = null

The dedicated serving endpoint for this FeatureOnlineStore, which is different from common vertex service endpoint. Only need to be set when you choose Optimized storage type or enable EmbeddingManagement. Will use public endpoint by default. Structure is documented below.

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val embeddingManagement: Output<AiFeatureOnlineStoreEmbeddingManagementArgs>? = null

The settings for embedding management in FeatureOnlineStore. Embedding management can only be set for BigTable. It is enabled by default for optimized storagetype. Structure is documented below.

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val forceDestroy: Output<Boolean>? = null

If set to true, any FeatureViews and Features for this FeatureOnlineStore will also be deleted.

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

The labels with user-defined metadata to organize your feature online stores. 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>? = null

The resource name of the Feature Online Store. 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 optimized: Output<AiFeatureOnlineStoreOptimizedArgs>? = null

Settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore

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val project: Output<String>? = null

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 region: Output<String>? = null

The region of feature online store. eg us-central1

Functions

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open override fun toJava(): AiFeatureOnlineStoreArgs