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  5. AiFeatureOnlineStore
Google Cloud v8.21.0 published on Wednesday, Mar 5, 2025 by Pulumi
pulumi/pulumi-gcp

gcp.vertex.AiFeatureOnlineStore

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Google Cloud v8.21.0 published on Wednesday, Mar 5, 2025 by Pulumi
pulumi/pulumi-gcp

    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,
        },
    },
});

    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,
        },
    })

    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
	})
}

    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,
            },
        },
    });

});

    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());

    }
}

    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

    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.then(project => project.number)],
        },
    },
});

    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.number],
        },
    })

    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
	})
}

    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),
                },
            },
        },
    });

});

    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();

        var featureonlinestore = new AiFeatureOnlineStore("featureonlinestore", AiFeatureOnlineStoreArgs.builder()
            .name("example_feature_online_store_optimized")
            .labels(Map.of("foo", "bar"))
            .region("us-central1")
            .optimized()
            .dedicatedServingEndpoint(AiFeatureOnlineStoreDedicatedServingEndpointArgs.builder()
                .privateServiceConnectConfig(AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs.builder()
                    .enablePrivateServiceConnect(true)
                    .projectAllowlists(project.applyValue(getProjectResult -> getProjectResult.number()))
                    .build())
                .build())
            .build());

    }
}

    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: {}

    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({});

    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()

    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
	})
}

    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();

});

    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();

    }
}

    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: {}

    Create AiFeatureOnlineStore Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new AiFeatureOnlineStore(name: string, args?: AiFeatureOnlineStoreArgs, opts?: CustomResourceOptions);
    @overload
def AiFeatureOnlineStore(resource_name: str,
                         args: Optional[AiFeatureOnlineStoreArgs] = None,
                         opts: Optional[ResourceOptions] = None)

@overload
def AiFeatureOnlineStore(resource_name: str,
                         opts: Optional[ResourceOptions] = None,
                         bigtable: Optional[AiFeatureOnlineStoreBigtableArgs] = None,
                         dedicated_serving_endpoint: Optional[AiFeatureOnlineStoreDedicatedServingEndpointArgs] = None,
                         embedding_management: Optional[AiFeatureOnlineStoreEmbeddingManagementArgs] = None,
                         force_destroy: Optional[bool] = None,
                         labels: Optional[Mapping[str, str]] = None,
                         name: Optional[str] = None,
                         optimized: Optional[AiFeatureOnlineStoreOptimizedArgs] = None,
                         project: Optional[str] = None,
                         region: Optional[str] = None)
    func NewAiFeatureOnlineStore(ctx *Context, name string, args *AiFeatureOnlineStoreArgs, opts ...ResourceOption) (*AiFeatureOnlineStore, error)
    public AiFeatureOnlineStore(string name, AiFeatureOnlineStoreArgs? args = null, CustomResourceOptions? opts = null)
    public AiFeatureOnlineStore(String name, AiFeatureOnlineStoreArgs args)
public AiFeatureOnlineStore(String name, AiFeatureOnlineStoreArgs args, CustomResourceOptions options)

    type: gcp:vertex:AiFeatureOnlineStore
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

    name string
    The unique name of the resource.
    args AiFeatureOnlineStoreArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args AiFeatureOnlineStoreArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args AiFeatureOnlineStoreArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args AiFeatureOnlineStoreArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args AiFeatureOnlineStoreArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var aiFeatureOnlineStoreResource = new Gcp.Vertex.AiFeatureOnlineStore("aiFeatureOnlineStoreResource", new()
{
    Bigtable = new Gcp.Vertex.Inputs.AiFeatureOnlineStoreBigtableArgs
    {
        AutoScaling = new Gcp.Vertex.Inputs.AiFeatureOnlineStoreBigtableAutoScalingArgs
        {
            MaxNodeCount = 0,
            MinNodeCount = 0,
            CpuUtilizationTarget = 0,
        },
    },
    DedicatedServingEndpoint = new Gcp.Vertex.Inputs.AiFeatureOnlineStoreDedicatedServingEndpointArgs
    {
        PrivateServiceConnectConfig = new Gcp.Vertex.Inputs.AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs
        {
            EnablePrivateServiceConnect = false,
            ProjectAllowlists = new[]
            {
                "string",
            },
        },
        PublicEndpointDomainName = "string",
        ServiceAttachment = "string",
    },
    ForceDestroy = false,
    Labels = 
    {
        { "string", "string" },
    },
    Name = "string",
    Optimized = null,
    Project = "string",
    Region = "string",
});

    example, err := vertex.NewAiFeatureOnlineStore(ctx, "aiFeatureOnlineStoreResource", &vertex.AiFeatureOnlineStoreArgs{
	Bigtable: &vertex.AiFeatureOnlineStoreBigtableArgs{
		AutoScaling: &vertex.AiFeatureOnlineStoreBigtableAutoScalingArgs{
			MaxNodeCount:         pulumi.Int(0),
			MinNodeCount:         pulumi.Int(0),
			CpuUtilizationTarget: pulumi.Int(0),
		},
	},
	DedicatedServingEndpoint: &vertex.AiFeatureOnlineStoreDedicatedServingEndpointArgs{
		PrivateServiceConnectConfig: &vertex.AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs{
			EnablePrivateServiceConnect: pulumi.Bool(false),
			ProjectAllowlists: pulumi.StringArray{
				pulumi.String("string"),
			},
		},
		PublicEndpointDomainName: pulumi.String("string"),
		ServiceAttachment:        pulumi.String("string"),
	},
	ForceDestroy: pulumi.Bool(false),
	Labels: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	Name:      pulumi.String("string"),
	Optimized: &vertex.AiFeatureOnlineStoreOptimizedArgs{},
	Project:   pulumi.String("string"),
	Region:    pulumi.String("string"),
})

    var aiFeatureOnlineStoreResource = new AiFeatureOnlineStore("aiFeatureOnlineStoreResource", AiFeatureOnlineStoreArgs.builder()
    .bigtable(AiFeatureOnlineStoreBigtableArgs.builder()
        .autoScaling(AiFeatureOnlineStoreBigtableAutoScalingArgs.builder()
            .maxNodeCount(0)
            .minNodeCount(0)
            .cpuUtilizationTarget(0)
            .build())
        .build())
    .dedicatedServingEndpoint(AiFeatureOnlineStoreDedicatedServingEndpointArgs.builder()
        .privateServiceConnectConfig(AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs.builder()
            .enablePrivateServiceConnect(false)
            .projectAllowlists("string")
            .build())
        .publicEndpointDomainName("string")
        .serviceAttachment("string")
        .build())
    .forceDestroy(false)
    .labels(Map.of("string", "string"))
    .name("string")
    .optimized()
    .project("string")
    .region("string")
    .build());

    ai_feature_online_store_resource = gcp.vertex.AiFeatureOnlineStore("aiFeatureOnlineStoreResource",
    bigtable={
        "auto_scaling": {
            "max_node_count": 0,
            "min_node_count": 0,
            "cpu_utilization_target": 0,
        },
    },
    dedicated_serving_endpoint={
        "private_service_connect_config": {
            "enable_private_service_connect": False,
            "project_allowlists": ["string"],
        },
        "public_endpoint_domain_name": "string",
        "service_attachment": "string",
    },
    force_destroy=False,
    labels={
        "string": "string",
    },
    name="string",
    optimized={},
    project="string",
    region="string")

    const aiFeatureOnlineStoreResource = new gcp.vertex.AiFeatureOnlineStore("aiFeatureOnlineStoreResource", {
    bigtable: {
        autoScaling: {
            maxNodeCount: 0,
            minNodeCount: 0,
            cpuUtilizationTarget: 0,
        },
    },
    dedicatedServingEndpoint: {
        privateServiceConnectConfig: {
            enablePrivateServiceConnect: false,
            projectAllowlists: ["string"],
        },
        publicEndpointDomainName: "string",
        serviceAttachment: "string",
    },
    forceDestroy: false,
    labels: {
        string: "string",
    },
    name: "string",
    optimized: {},
    project: "string",
    region: "string",
});

    type: gcp:vertex:AiFeatureOnlineStore
properties:
    bigtable:
        autoScaling:
            cpuUtilizationTarget: 0
            maxNodeCount: 0
            minNodeCount: 0
    dedicatedServingEndpoint:
        privateServiceConnectConfig:
            enablePrivateServiceConnect: false
            projectAllowlists:
                - string
        publicEndpointDomainName: string
        serviceAttachment: string
    forceDestroy: false
    labels:
        string: string
    name: string
    optimized: {}
    project: string
    region: string

    AiFeatureOnlineStore Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The AiFeatureOnlineStore resource accepts the following input properties:

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

    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.

    Warning: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    Deprecated: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    ForceDestroy bool
    If set to true, any FeatureViews and Features for this FeatureOnlineStore will also be deleted.
    Labels Dictionary<string, string>
    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.
    Name string
    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.

    Optimized AiFeatureOnlineStoreOptimized
    Settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore
    Project string
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    Region string
    The region of feature online store. eg us-central1
    Bigtable AiFeatureOnlineStoreBigtableArgs
    Settings for Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. Structure is documented below.
    DedicatedServingEndpoint AiFeatureOnlineStoreDedicatedServingEndpointArgs
    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.
    EmbeddingManagement AiFeatureOnlineStoreEmbeddingManagementArgs

    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.

    Warning: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    Deprecated: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    ForceDestroy bool
    If set to true, any FeatureViews and Features for this FeatureOnlineStore will also be deleted.
    Labels map[string]string
    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.
    Name string
    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.

    Optimized AiFeatureOnlineStoreOptimizedArgs
    Settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore
    Project string
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    Region string
    The region of feature online store. eg us-central1
    bigtable AiFeatureOnlineStoreBigtable
    Settings for Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. Structure is documented below.
    dedicatedServingEndpoint AiFeatureOnlineStoreDedicatedServingEndpoint
    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.
    embeddingManagement AiFeatureOnlineStoreEmbeddingManagement

    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.

    Warning: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    Deprecated: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    forceDestroy Boolean
    If set to true, any FeatureViews and Features for this FeatureOnlineStore will also be deleted.
    labels Map<String,String>
    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.
    name String
    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.

    optimized AiFeatureOnlineStoreOptimized
    Settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore
    project String
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    region String
    The region of feature online store. eg us-central1
    bigtable AiFeatureOnlineStoreBigtable
    Settings for Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. Structure is documented below.
    dedicatedServingEndpoint AiFeatureOnlineStoreDedicatedServingEndpoint
    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.
    embeddingManagement AiFeatureOnlineStoreEmbeddingManagement

    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.

    Warning: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    Deprecated: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    forceDestroy boolean
    If set to true, any FeatureViews and Features for this FeatureOnlineStore will also be deleted.
    labels {[key: string]: string}
    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.
    name string
    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.

    optimized AiFeatureOnlineStoreOptimized
    Settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore
    project string
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    region string
    The region of feature online store. eg us-central1
    bigtable AiFeatureOnlineStoreBigtableArgs
    Settings for Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. Structure is documented below.
    dedicated_serving_endpoint AiFeatureOnlineStoreDedicatedServingEndpointArgs
    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.
    embedding_management AiFeatureOnlineStoreEmbeddingManagementArgs

    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.

    Warning: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    Deprecated: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    force_destroy bool
    If set to true, any FeatureViews and Features for this FeatureOnlineStore will also be deleted.
    labels Mapping[str, str]
    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.
    name str
    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.

    optimized AiFeatureOnlineStoreOptimizedArgs
    Settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore
    project str
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    region str
    The region of feature online store. eg us-central1
    bigtable Property Map
    Settings for Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. Structure is documented below.
    dedicatedServingEndpoint Property Map
    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.
    embeddingManagement Property Map

    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.

    Warning: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    Deprecated: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    forceDestroy Boolean
    If set to true, any FeatureViews and Features for this FeatureOnlineStore will also be deleted.
    labels Map<String>
    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.
    name String
    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.

    optimized Property Map
    Settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore
    project String
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    region String
    The region of feature online store. eg us-central1

    Outputs

    All input properties are implicitly available as output properties. Additionally, the AiFeatureOnlineStore resource produces the following output properties:

    CreateTime string
    The timestamp of when the feature online store was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    EffectiveLabels Dictionary<string, string>
    All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
    Etag string
    Used to perform consistent read-modify-write updates.
    Id string
    The provider-assigned unique ID for this managed resource.
    PulumiLabels Dictionary<string, string>
    The combination of labels configured directly on the resource and default labels configured on the provider.
    State string
    The state of the Feature Online Store. See the possible states in this link.
    UpdateTime string
    The timestamp of when the feature online store was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    CreateTime string
    The timestamp of when the feature online store was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    EffectiveLabels 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.
    Etag string
    Used to perform consistent read-modify-write updates.
    Id string
    The provider-assigned unique ID for this managed resource.
    PulumiLabels map[string]string
    The combination of labels configured directly on the resource and default labels configured on the provider.
    State string
    The state of the Feature Online Store. See the possible states in this link.
    UpdateTime string
    The timestamp of when the feature online store was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    createTime String
    The timestamp of when the feature online store was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    effectiveLabels 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.
    etag String
    Used to perform consistent read-modify-write updates.
    id String
    The provider-assigned unique ID for this managed resource.
    pulumiLabels Map<String,String>
    The combination of labels configured directly on the resource and default labels configured on the provider.
    state String
    The state of the Feature Online Store. See the possible states in this link.
    updateTime String
    The timestamp of when the feature online store was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    createTime string
    The timestamp of when the feature online store was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    effectiveLabels {[key: string]: string}
    All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
    etag string
    Used to perform consistent read-modify-write updates.
    id string
    The provider-assigned unique ID for this managed resource.
    pulumiLabels {[key: string]: string}
    The combination of labels configured directly on the resource and default labels configured on the provider.
    state string
    The state of the Feature Online Store. See the possible states in this link.
    updateTime string
    The timestamp of when the feature online store was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    create_time str
    The timestamp of when the feature online store was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    effective_labels Mapping[str, str]
    All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
    etag str
    Used to perform consistent read-modify-write updates.
    id str
    The provider-assigned unique ID for this managed resource.
    pulumi_labels Mapping[str, str]
    The combination of labels configured directly on the resource and default labels configured on the provider.
    state str
    The state of the Feature Online Store. See the possible states in this link.
    update_time str
    The timestamp of when the feature online store was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    createTime String
    The timestamp of when the feature online store was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    effectiveLabels Map<String>
    All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
    etag String
    Used to perform consistent read-modify-write updates.
    id String
    The provider-assigned unique ID for this managed resource.
    pulumiLabels Map<String>
    The combination of labels configured directly on the resource and default labels configured on the provider.
    state String
    The state of the Feature Online Store. See the possible states in this link.
    updateTime String
    The timestamp of when the feature online store was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

    Look up Existing AiFeatureOnlineStore Resource

    Get an existing AiFeatureOnlineStore resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

    public static get(name: string, id: Input<ID>, state?: AiFeatureOnlineStoreState, opts?: CustomResourceOptions): AiFeatureOnlineStore
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        bigtable: Optional[AiFeatureOnlineStoreBigtableArgs] = None,
        create_time: Optional[str] = None,
        dedicated_serving_endpoint: Optional[AiFeatureOnlineStoreDedicatedServingEndpointArgs] = None,
        effective_labels: Optional[Mapping[str, str]] = None,
        embedding_management: Optional[AiFeatureOnlineStoreEmbeddingManagementArgs] = None,
        etag: Optional[str] = None,
        force_destroy: Optional[bool] = None,
        labels: Optional[Mapping[str, str]] = None,
        name: Optional[str] = None,
        optimized: Optional[AiFeatureOnlineStoreOptimizedArgs] = None,
        project: Optional[str] = None,
        pulumi_labels: Optional[Mapping[str, str]] = None,
        region: Optional[str] = None,
        state: Optional[str] = None,
        update_time: Optional[str] = None) -> AiFeatureOnlineStore
    func GetAiFeatureOnlineStore(ctx *Context, name string, id IDInput, state *AiFeatureOnlineStoreState, opts ...ResourceOption) (*AiFeatureOnlineStore, error)
    public static AiFeatureOnlineStore Get(string name, Input<string> id, AiFeatureOnlineStoreState? state, CustomResourceOptions? opts = null)
    public static AiFeatureOnlineStore get(String name, Output<String> id, AiFeatureOnlineStoreState state, CustomResourceOptions options)
    resources:  _:    type: gcp:vertex:AiFeatureOnlineStore    get:      id: ${id}
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:
    Bigtable AiFeatureOnlineStoreBigtable
    Settings for Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. Structure is documented below.
    CreateTime string
    The timestamp of when the feature online store was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    DedicatedServingEndpoint AiFeatureOnlineStoreDedicatedServingEndpoint
    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.
    EffectiveLabels Dictionary<string, string>
    All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
    EmbeddingManagement AiFeatureOnlineStoreEmbeddingManagement

    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.

    Warning: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    Deprecated: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    Etag string
    Used to perform consistent read-modify-write updates.
    ForceDestroy bool
    If set to true, any FeatureViews and Features for this FeatureOnlineStore will also be deleted.
    Labels Dictionary<string, string>
    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.
    Name string
    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.

    Optimized AiFeatureOnlineStoreOptimized
    Settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore
    Project string
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    PulumiLabels Dictionary<string, string>
    The combination of labels configured directly on the resource and default labels configured on the provider.
    Region string
    The region of feature online store. eg us-central1
    State string
    The state of the Feature Online Store. See the possible states in this link.
    UpdateTime string
    The timestamp of when the feature online store was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    Bigtable AiFeatureOnlineStoreBigtableArgs
    Settings for Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. Structure is documented below.
    CreateTime string
    The timestamp of when the feature online store was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    DedicatedServingEndpoint AiFeatureOnlineStoreDedicatedServingEndpointArgs
    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.
    EffectiveLabels 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.
    EmbeddingManagement AiFeatureOnlineStoreEmbeddingManagementArgs

    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.

    Warning: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    Deprecated: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    Etag string
    Used to perform consistent read-modify-write updates.
    ForceDestroy bool
    If set to true, any FeatureViews and Features for this FeatureOnlineStore will also be deleted.
    Labels map[string]string
    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.
    Name string
    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.

    Optimized AiFeatureOnlineStoreOptimizedArgs
    Settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore
    Project string
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    PulumiLabels map[string]string
    The combination of labels configured directly on the resource and default labels configured on the provider.
    Region string
    The region of feature online store. eg us-central1
    State string
    The state of the Feature Online Store. See the possible states in this link.
    UpdateTime string
    The timestamp of when the feature online store was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    bigtable AiFeatureOnlineStoreBigtable
    Settings for Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. Structure is documented below.
    createTime String
    The timestamp of when the feature online store was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    dedicatedServingEndpoint AiFeatureOnlineStoreDedicatedServingEndpoint
    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.
    effectiveLabels 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.
    embeddingManagement AiFeatureOnlineStoreEmbeddingManagement

    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.

    Warning: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    Deprecated: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    etag String
    Used to perform consistent read-modify-write updates.
    forceDestroy Boolean
    If set to true, any FeatureViews and Features for this FeatureOnlineStore will also be deleted.
    labels Map<String,String>
    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.
    name String
    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.

    optimized AiFeatureOnlineStoreOptimized
    Settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore
    project String
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    pulumiLabels Map<String,String>
    The combination of labels configured directly on the resource and default labels configured on the provider.
    region String
    The region of feature online store. eg us-central1
    state String
    The state of the Feature Online Store. See the possible states in this link.
    updateTime String
    The timestamp of when the feature online store was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    bigtable AiFeatureOnlineStoreBigtable
    Settings for Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. Structure is documented below.
    createTime string
    The timestamp of when the feature online store was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    dedicatedServingEndpoint AiFeatureOnlineStoreDedicatedServingEndpoint
    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.
    effectiveLabels {[key: string]: string}
    All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
    embeddingManagement AiFeatureOnlineStoreEmbeddingManagement

    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.

    Warning: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    Deprecated: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    etag string
    Used to perform consistent read-modify-write updates.
    forceDestroy boolean
    If set to true, any FeatureViews and Features for this FeatureOnlineStore will also be deleted.
    labels {[key: string]: string}
    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.
    name string
    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.

    optimized AiFeatureOnlineStoreOptimized
    Settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore
    project string
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    pulumiLabels {[key: string]: string}
    The combination of labels configured directly on the resource and default labels configured on the provider.
    region string
    The region of feature online store. eg us-central1
    state string
    The state of the Feature Online Store. See the possible states in this link.
    updateTime string
    The timestamp of when the feature online store was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    bigtable AiFeatureOnlineStoreBigtableArgs
    Settings for Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. Structure is documented below.
    create_time str
    The timestamp of when the feature online store was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    dedicated_serving_endpoint AiFeatureOnlineStoreDedicatedServingEndpointArgs
    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.
    effective_labels Mapping[str, str]
    All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
    embedding_management AiFeatureOnlineStoreEmbeddingManagementArgs

    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.

    Warning: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    Deprecated: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    etag str
    Used to perform consistent read-modify-write updates.
    force_destroy bool
    If set to true, any FeatureViews and Features for this FeatureOnlineStore will also be deleted.
    labels Mapping[str, str]
    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.
    name str
    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.

    optimized AiFeatureOnlineStoreOptimizedArgs
    Settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore
    project str
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    pulumi_labels Mapping[str, str]
    The combination of labels configured directly on the resource and default labels configured on the provider.
    region str
    The region of feature online store. eg us-central1
    state str
    The state of the Feature Online Store. See the possible states in this link.
    update_time str
    The timestamp of when the feature online store was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    bigtable Property Map
    Settings for Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. Structure is documented below.
    createTime String
    The timestamp of when the feature online store was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    dedicatedServingEndpoint Property Map
    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.
    effectiveLabels Map<String>
    All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
    embeddingManagement Property Map

    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.

    Warning: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    Deprecated: embedding_management is deprecated. This field is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type

    etag String
    Used to perform consistent read-modify-write updates.
    forceDestroy Boolean
    If set to true, any FeatureViews and Features for this FeatureOnlineStore will also be deleted.
    labels Map<String>
    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.
    name String
    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.

    optimized Property Map
    Settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore
    project String
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    pulumiLabels Map<String>
    The combination of labels configured directly on the resource and default labels configured on the provider.
    region String
    The region of feature online store. eg us-central1
    state String
    The state of the Feature Online Store. See the possible states in this link.
    updateTime String
    The timestamp of when the feature online store was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

    Supporting Types

    AiFeatureOnlineStoreBigtable, AiFeatureOnlineStoreBigtableArgs

    AutoScaling AiFeatureOnlineStoreBigtableAutoScaling
    Autoscaling config applied to Bigtable Instance. Structure is documented below.
    AutoScaling AiFeatureOnlineStoreBigtableAutoScaling
    Autoscaling config applied to Bigtable Instance. Structure is documented below.
    autoScaling AiFeatureOnlineStoreBigtableAutoScaling
    Autoscaling config applied to Bigtable Instance. Structure is documented below.
    autoScaling AiFeatureOnlineStoreBigtableAutoScaling
    Autoscaling config applied to Bigtable Instance. Structure is documented below.
    auto_scaling AiFeatureOnlineStoreBigtableAutoScaling
    Autoscaling config applied to Bigtable Instance. Structure is documented below.
    autoScaling Property Map
    Autoscaling config applied to Bigtable Instance. Structure is documented below.

    AiFeatureOnlineStoreBigtableAutoScaling, AiFeatureOnlineStoreBigtableAutoScalingArgs

    MaxNodeCount int
    The maximum number of nodes to scale up to. Must be greater than or equal to minNodeCount, and less than or equal to 10 times of 'minNodeCount'.
    MinNodeCount int
    The minimum number of nodes to scale down to. Must be greater than or equal to 1.
    CpuUtilizationTarget int
    A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.
    MaxNodeCount int
    The maximum number of nodes to scale up to. Must be greater than or equal to minNodeCount, and less than or equal to 10 times of 'minNodeCount'.
    MinNodeCount int
    The minimum number of nodes to scale down to. Must be greater than or equal to 1.
    CpuUtilizationTarget int
    A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.
    maxNodeCount Integer
    The maximum number of nodes to scale up to. Must be greater than or equal to minNodeCount, and less than or equal to 10 times of 'minNodeCount'.
    minNodeCount Integer
    The minimum number of nodes to scale down to. Must be greater than or equal to 1.
    cpuUtilizationTarget Integer
    A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.
    maxNodeCount number
    The maximum number of nodes to scale up to. Must be greater than or equal to minNodeCount, and less than or equal to 10 times of 'minNodeCount'.
    minNodeCount number
    The minimum number of nodes to scale down to. Must be greater than or equal to 1.
    cpuUtilizationTarget number
    A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.
    max_node_count int
    The maximum number of nodes to scale up to. Must be greater than or equal to minNodeCount, and less than or equal to 10 times of 'minNodeCount'.
    min_node_count int
    The minimum number of nodes to scale down to. Must be greater than or equal to 1.
    cpu_utilization_target int
    A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.
    maxNodeCount Number
    The maximum number of nodes to scale up to. Must be greater than or equal to minNodeCount, and less than or equal to 10 times of 'minNodeCount'.
    minNodeCount Number
    The minimum number of nodes to scale down to. Must be greater than or equal to 1.
    cpuUtilizationTarget Number
    A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.

    AiFeatureOnlineStoreDedicatedServingEndpoint, AiFeatureOnlineStoreDedicatedServingEndpointArgs

    PrivateServiceConnectConfig AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfig
    Private service connect config. Structure is documented below.
    PublicEndpointDomainName string
    (Output) Domain name to use for this FeatureOnlineStore
    ServiceAttachment string
    (Output) Name of the service attachment resource. Applicable only if private service connect is enabled and after FeatureViewSync is created.
    PrivateServiceConnectConfig AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfig
    Private service connect config. Structure is documented below.
    PublicEndpointDomainName string
    (Output) Domain name to use for this FeatureOnlineStore
    ServiceAttachment string
    (Output) Name of the service attachment resource. Applicable only if private service connect is enabled and after FeatureViewSync is created.
    privateServiceConnectConfig AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfig
    Private service connect config. Structure is documented below.
    publicEndpointDomainName String
    (Output) Domain name to use for this FeatureOnlineStore
    serviceAttachment String
    (Output) Name of the service attachment resource. Applicable only if private service connect is enabled and after FeatureViewSync is created.
    privateServiceConnectConfig AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfig
    Private service connect config. Structure is documented below.
    publicEndpointDomainName string
    (Output) Domain name to use for this FeatureOnlineStore
    serviceAttachment string
    (Output) Name of the service attachment resource. Applicable only if private service connect is enabled and after FeatureViewSync is created.
    private_service_connect_config AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfig
    Private service connect config. Structure is documented below.
    public_endpoint_domain_name str
    (Output) Domain name to use for this FeatureOnlineStore
    service_attachment str
    (Output) Name of the service attachment resource. Applicable only if private service connect is enabled and after FeatureViewSync is created.
    privateServiceConnectConfig Property Map
    Private service connect config. Structure is documented below.
    publicEndpointDomainName String
    (Output) Domain name to use for this FeatureOnlineStore
    serviceAttachment String
    (Output) Name of the service attachment resource. Applicable only if private service connect is enabled and after FeatureViewSync is created.

    AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfig, AiFeatureOnlineStoreDedicatedServingEndpointPrivateServiceConnectConfigArgs

    EnablePrivateServiceConnect bool
    If set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.
    ProjectAllowlists List<string>
    A list of Projects from which the forwarding rule will target the service attachment.
    EnablePrivateServiceConnect bool
    If set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.
    ProjectAllowlists []string
    A list of Projects from which the forwarding rule will target the service attachment.
    enablePrivateServiceConnect Boolean
    If set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.
    projectAllowlists List<String>
    A list of Projects from which the forwarding rule will target the service attachment.
    enablePrivateServiceConnect boolean
    If set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.
    projectAllowlists string[]
    A list of Projects from which the forwarding rule will target the service attachment.
    enable_private_service_connect bool
    If set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.
    project_allowlists Sequence[str]
    A list of Projects from which the forwarding rule will target the service attachment.
    enablePrivateServiceConnect Boolean
    If set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.
    projectAllowlists List<String>
    A list of Projects from which the forwarding rule will target the service attachment.

    AiFeatureOnlineStoreEmbeddingManagement, AiFeatureOnlineStoreEmbeddingManagementArgs

    Enabled bool
    Enable embedding management.
    Enabled bool
    Enable embedding management.
    enabled Boolean
    Enable embedding management.
    enabled boolean
    Enable embedding management.
    enabled bool
    Enable embedding management.
    enabled Boolean
    Enable embedding management.

    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}}

    $ pulumi import gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore default {{project}}/{{region}}/{{name}}

    $ pulumi import gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore default {{region}}/{{name}}

    $ pulumi import gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore default {{name}}

    To learn more about importing existing cloud resources, see Importing resources.

    Package Details

    Repository
    Google Cloud (GCP) Classic pulumi/pulumi-gcp
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the google-beta Terraform Provider.
    gcp logo
    Google Cloud v8.21.0 published on Wednesday, Mar 5, 2025 by Pulumi
    pulumi/pulumi-gcp