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Google Cloud Classic v8.9.3 published on Monday, Nov 18, 2024 by Pulumi
pulumi/pulumi-gcp

gcp.vertex.AiFeatureStoreEntityTypeFeature

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Google Cloud Classic v8.9.3 published on Monday, Nov 18, 2024 by Pulumi
pulumi/pulumi-gcp

    Feature Metadata information that describes an attribute of an entity type. For example, apple is an entity type, and color is a feature that describes apple.

    To get more information about FeaturestoreEntitytypeFeature, see:

    Example Usage

    Vertex Ai Featurestore Entitytype Feature

    import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const featurestore = new gcp.vertex.AiFeatureStore("featurestore", {
    name: "terraform",
    labels: {
        foo: "bar",
    },
    region: "us-central1",
    onlineServingConfig: {
        fixedNodeCount: 2,
    },
});
const entity = new gcp.vertex.AiFeatureStoreEntityType("entity", {
    name: "terraform",
    labels: {
        foo: "bar",
    },
    featurestore: featurestore.id,
});
const feature = new gcp.vertex.AiFeatureStoreEntityTypeFeature("feature", {
    name: "terraform",
    labels: {
        foo: "bar",
    },
    entitytype: entity.id,
    valueType: "INT64_ARRAY",
});

    import pulumi
import pulumi_gcp as gcp

featurestore = gcp.vertex.AiFeatureStore("featurestore",
    name="terraform",
    labels={
        "foo": "bar",
    },
    region="us-central1",
    online_serving_config={
        "fixed_node_count": 2,
    })
entity = gcp.vertex.AiFeatureStoreEntityType("entity",
    name="terraform",
    labels={
        "foo": "bar",
    },
    featurestore=featurestore.id)
feature = gcp.vertex.AiFeatureStoreEntityTypeFeature("feature",
    name="terraform",
    labels={
        "foo": "bar",
    },
    entitytype=entity.id,
    value_type="INT64_ARRAY")

    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 {
		featurestore, err := vertex.NewAiFeatureStore(ctx, "featurestore", &vertex.AiFeatureStoreArgs{
			Name: pulumi.String("terraform"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			OnlineServingConfig: &vertex.AiFeatureStoreOnlineServingConfigArgs{
				FixedNodeCount: pulumi.Int(2),
			},
		})
		if err != nil {
			return err
		}
		entity, err := vertex.NewAiFeatureStoreEntityType(ctx, "entity", &vertex.AiFeatureStoreEntityTypeArgs{
			Name: pulumi.String("terraform"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Featurestore: featurestore.ID(),
		})
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureStoreEntityTypeFeature(ctx, "feature", &vertex.AiFeatureStoreEntityTypeFeatureArgs{
			Name: pulumi.String("terraform"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Entitytype: entity.ID(),
			ValueType:  pulumi.String("INT64_ARRAY"),
		})
		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 featurestore = new Gcp.Vertex.AiFeatureStore("featurestore", new()
    {
        Name = "terraform",
        Labels = 
        {
            { "foo", "bar" },
        },
        Region = "us-central1",
        OnlineServingConfig = new Gcp.Vertex.Inputs.AiFeatureStoreOnlineServingConfigArgs
        {
            FixedNodeCount = 2,
        },
    });

    var entity = new Gcp.Vertex.AiFeatureStoreEntityType("entity", new()
    {
        Name = "terraform",
        Labels = 
        {
            { "foo", "bar" },
        },
        Featurestore = featurestore.Id,
    });

    var feature = new Gcp.Vertex.AiFeatureStoreEntityTypeFeature("feature", new()
    {
        Name = "terraform",
        Labels = 
        {
            { "foo", "bar" },
        },
        Entitytype = entity.Id,
        ValueType = "INT64_ARRAY",
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.vertex.AiFeatureStore;
import com.pulumi.gcp.vertex.AiFeatureStoreArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureStoreOnlineServingConfigArgs;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityType;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityTypeArgs;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityTypeFeature;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityTypeFeatureArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var featurestore = new AiFeatureStore("featurestore", AiFeatureStoreArgs.builder()
            .name("terraform")
            .labels(Map.of("foo", "bar"))
            .region("us-central1")
            .onlineServingConfig(AiFeatureStoreOnlineServingConfigArgs.builder()
                .fixedNodeCount(2)
                .build())
            .build());

        var entity = new AiFeatureStoreEntityType("entity", AiFeatureStoreEntityTypeArgs.builder()
            .name("terraform")
            .labels(Map.of("foo", "bar"))
            .featurestore(featurestore.id())
            .build());

        var feature = new AiFeatureStoreEntityTypeFeature("feature", AiFeatureStoreEntityTypeFeatureArgs.builder()
            .name("terraform")
            .labels(Map.of("foo", "bar"))
            .entitytype(entity.id())
            .valueType("INT64_ARRAY")
            .build());

    }
}

    resources:
  featurestore:
    type: gcp:vertex:AiFeatureStore
    properties:
      name: terraform
      labels:
        foo: bar
      region: us-central1
      onlineServingConfig:
        fixedNodeCount: 2
  entity:
    type: gcp:vertex:AiFeatureStoreEntityType
    properties:
      name: terraform
      labels:
        foo: bar
      featurestore: ${featurestore.id}
  feature:
    type: gcp:vertex:AiFeatureStoreEntityTypeFeature
    properties:
      name: terraform
      labels:
        foo: bar
      entitytype: ${entity.id}
      valueType: INT64_ARRAY

    Vertex Ai Featurestore Entitytype Feature With Beta Fields

    import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const featurestore = new gcp.vertex.AiFeatureStore("featurestore", {
    name: "terraform2",
    labels: {
        foo: "bar",
    },
    region: "us-central1",
    onlineServingConfig: {
        fixedNodeCount: 2,
    },
});
const entity = new gcp.vertex.AiFeatureStoreEntityType("entity", {
    name: "terraform2",
    labels: {
        foo: "bar",
    },
    featurestore: featurestore.id,
    monitoringConfig: {
        snapshotAnalysis: {
            disabled: false,
            monitoringInterval: "86400s",
        },
        categoricalThresholdConfig: {
            value: 0.3,
        },
        numericalThresholdConfig: {
            value: 0.3,
        },
    },
});
const feature = new gcp.vertex.AiFeatureStoreEntityTypeFeature("feature", {
    name: "terraform2",
    labels: {
        foo: "bar",
    },
    entitytype: entity.id,
    valueType: "INT64_ARRAY",
});

    import pulumi
import pulumi_gcp as gcp

featurestore = gcp.vertex.AiFeatureStore("featurestore",
    name="terraform2",
    labels={
        "foo": "bar",
    },
    region="us-central1",
    online_serving_config={
        "fixed_node_count": 2,
    })
entity = gcp.vertex.AiFeatureStoreEntityType("entity",
    name="terraform2",
    labels={
        "foo": "bar",
    },
    featurestore=featurestore.id,
    monitoring_config={
        "snapshot_analysis": {
            "disabled": False,
            "monitoring_interval": "86400s",
        },
        "categorical_threshold_config": {
            "value": 0.3,
        },
        "numerical_threshold_config": {
            "value": 0.3,
        },
    })
feature = gcp.vertex.AiFeatureStoreEntityTypeFeature("feature",
    name="terraform2",
    labels={
        "foo": "bar",
    },
    entitytype=entity.id,
    value_type="INT64_ARRAY")

    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 {
		featurestore, err := vertex.NewAiFeatureStore(ctx, "featurestore", &vertex.AiFeatureStoreArgs{
			Name: pulumi.String("terraform2"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Region: pulumi.String("us-central1"),
			OnlineServingConfig: &vertex.AiFeatureStoreOnlineServingConfigArgs{
				FixedNodeCount: pulumi.Int(2),
			},
		})
		if err != nil {
			return err
		}
		entity, err := vertex.NewAiFeatureStoreEntityType(ctx, "entity", &vertex.AiFeatureStoreEntityTypeArgs{
			Name: pulumi.String("terraform2"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Featurestore: featurestore.ID(),
			MonitoringConfig: &vertex.AiFeatureStoreEntityTypeMonitoringConfigArgs{
				SnapshotAnalysis: &vertex.AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs{
					Disabled:           pulumi.Bool(false),
					MonitoringInterval: pulumi.String("86400s"),
				},
				CategoricalThresholdConfig: &vertex.AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs{
					Value: pulumi.Float64(0.3),
				},
				NumericalThresholdConfig: &vertex.AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs{
					Value: pulumi.Float64(0.3),
				},
			},
		})
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureStoreEntityTypeFeature(ctx, "feature", &vertex.AiFeatureStoreEntityTypeFeatureArgs{
			Name: pulumi.String("terraform2"),
			Labels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
			Entitytype: entity.ID(),
			ValueType:  pulumi.String("INT64_ARRAY"),
		})
		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 featurestore = new Gcp.Vertex.AiFeatureStore("featurestore", new()
    {
        Name = "terraform2",
        Labels = 
        {
            { "foo", "bar" },
        },
        Region = "us-central1",
        OnlineServingConfig = new Gcp.Vertex.Inputs.AiFeatureStoreOnlineServingConfigArgs
        {
            FixedNodeCount = 2,
        },
    });

    var entity = new Gcp.Vertex.AiFeatureStoreEntityType("entity", new()
    {
        Name = "terraform2",
        Labels = 
        {
            { "foo", "bar" },
        },
        Featurestore = featurestore.Id,
        MonitoringConfig = new Gcp.Vertex.Inputs.AiFeatureStoreEntityTypeMonitoringConfigArgs
        {
            SnapshotAnalysis = new Gcp.Vertex.Inputs.AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs
            {
                Disabled = false,
                MonitoringInterval = "86400s",
            },
            CategoricalThresholdConfig = new Gcp.Vertex.Inputs.AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs
            {
                Value = 0.3,
            },
            NumericalThresholdConfig = new Gcp.Vertex.Inputs.AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs
            {
                Value = 0.3,
            },
        },
    });

    var feature = new Gcp.Vertex.AiFeatureStoreEntityTypeFeature("feature", new()
    {
        Name = "terraform2",
        Labels = 
        {
            { "foo", "bar" },
        },
        Entitytype = entity.Id,
        ValueType = "INT64_ARRAY",
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.vertex.AiFeatureStore;
import com.pulumi.gcp.vertex.AiFeatureStoreArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureStoreOnlineServingConfigArgs;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityType;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityTypeArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureStoreEntityTypeMonitoringConfigArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityTypeFeature;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityTypeFeatureArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var featurestore = new AiFeatureStore("featurestore", AiFeatureStoreArgs.builder()
            .name("terraform2")
            .labels(Map.of("foo", "bar"))
            .region("us-central1")
            .onlineServingConfig(AiFeatureStoreOnlineServingConfigArgs.builder()
                .fixedNodeCount(2)
                .build())
            .build());

        var entity = new AiFeatureStoreEntityType("entity", AiFeatureStoreEntityTypeArgs.builder()
            .name("terraform2")
            .labels(Map.of("foo", "bar"))
            .featurestore(featurestore.id())
            .monitoringConfig(AiFeatureStoreEntityTypeMonitoringConfigArgs.builder()
                .snapshotAnalysis(AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs.builder()
                    .disabled(false)
                    .monitoringInterval("86400s")
                    .build())
                .categoricalThresholdConfig(AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs.builder()
                    .value(0.3)
                    .build())
                .numericalThresholdConfig(AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs.builder()
                    .value(0.3)
                    .build())
                .build())
            .build());

        var feature = new AiFeatureStoreEntityTypeFeature("feature", AiFeatureStoreEntityTypeFeatureArgs.builder()
            .name("terraform2")
            .labels(Map.of("foo", "bar"))
            .entitytype(entity.id())
            .valueType("INT64_ARRAY")
            .build());

    }
}

    resources:
  featurestore:
    type: gcp:vertex:AiFeatureStore
    properties:
      name: terraform2
      labels:
        foo: bar
      region: us-central1
      onlineServingConfig:
        fixedNodeCount: 2
  entity:
    type: gcp:vertex:AiFeatureStoreEntityType
    properties:
      name: terraform2
      labels:
        foo: bar
      featurestore: ${featurestore.id}
      monitoringConfig:
        snapshotAnalysis:
          disabled: false
          monitoringInterval: 86400s
        categoricalThresholdConfig:
          value: 0.3
        numericalThresholdConfig:
          value: 0.3
  feature:
    type: gcp:vertex:AiFeatureStoreEntityTypeFeature
    properties:
      name: terraform2
      labels:
        foo: bar
      entitytype: ${entity.id}
      valueType: INT64_ARRAY

    Create AiFeatureStoreEntityTypeFeature Resource

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

    Constructor syntax

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

@overload
def AiFeatureStoreEntityTypeFeature(resource_name: str,
                                    opts: Optional[ResourceOptions] = None,
                                    entitytype: Optional[str] = None,
                                    value_type: Optional[str] = None,
                                    description: Optional[str] = None,
                                    labels: Optional[Mapping[str, str]] = None,
                                    name: Optional[str] = None)
    func NewAiFeatureStoreEntityTypeFeature(ctx *Context, name string, args AiFeatureStoreEntityTypeFeatureArgs, opts ...ResourceOption) (*AiFeatureStoreEntityTypeFeature, error)
    public AiFeatureStoreEntityTypeFeature(string name, AiFeatureStoreEntityTypeFeatureArgs args, CustomResourceOptions? opts = null)
    public AiFeatureStoreEntityTypeFeature(String name, AiFeatureStoreEntityTypeFeatureArgs args)
public AiFeatureStoreEntityTypeFeature(String name, AiFeatureStoreEntityTypeFeatureArgs args, CustomResourceOptions options)

    type: gcp:vertex:AiFeatureStoreEntityTypeFeature
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 AiFeatureStoreEntityTypeFeatureArgs
    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 AiFeatureStoreEntityTypeFeatureArgs
    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 AiFeatureStoreEntityTypeFeatureArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args AiFeatureStoreEntityTypeFeatureArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args AiFeatureStoreEntityTypeFeatureArgs
    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 aiFeatureStoreEntityTypeFeatureResource = new Gcp.Vertex.AiFeatureStoreEntityTypeFeature("aiFeatureStoreEntityTypeFeatureResource", new()
{
    Entitytype = "string",
    ValueType = "string",
    Description = "string",
    Labels = 
    {
        { "string", "string" },
    },
    Name = "string",
});

    example, err := vertex.NewAiFeatureStoreEntityTypeFeature(ctx, "aiFeatureStoreEntityTypeFeatureResource", &vertex.AiFeatureStoreEntityTypeFeatureArgs{
	Entitytype:  pulumi.String("string"),
	ValueType:   pulumi.String("string"),
	Description: pulumi.String("string"),
	Labels: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	Name: pulumi.String("string"),
})

    var aiFeatureStoreEntityTypeFeatureResource = new AiFeatureStoreEntityTypeFeature("aiFeatureStoreEntityTypeFeatureResource", AiFeatureStoreEntityTypeFeatureArgs.builder()
    .entitytype("string")
    .valueType("string")
    .description("string")
    .labels(Map.of("string", "string"))
    .name("string")
    .build());

    ai_feature_store_entity_type_feature_resource = gcp.vertex.AiFeatureStoreEntityTypeFeature("aiFeatureStoreEntityTypeFeatureResource",
    entitytype="string",
    value_type="string",
    description="string",
    labels={
        "string": "string",
    },
    name="string")

    const aiFeatureStoreEntityTypeFeatureResource = new gcp.vertex.AiFeatureStoreEntityTypeFeature("aiFeatureStoreEntityTypeFeatureResource", {
    entitytype: "string",
    valueType: "string",
    description: "string",
    labels: {
        string: "string",
    },
    name: "string",
});

    type: gcp:vertex:AiFeatureStoreEntityTypeFeature
properties:
    description: string
    entitytype: string
    labels:
        string: string
    name: string
    valueType: string

    AiFeatureStoreEntityTypeFeature 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 AiFeatureStoreEntityTypeFeature resource accepts the following input properties:

    Entitytype string
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

    ValueType string
    Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType
    Description string
    Description of the feature.
    Labels Dictionary<string, string>

    A set of key/value label pairs to assign to the feature.

    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 name of the feature. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.
    Entitytype string
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

    ValueType string
    Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType
    Description string
    Description of the feature.
    Labels map[string]string

    A set of key/value label pairs to assign to the feature.

    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 name of the feature. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.
    entitytype String
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

    valueType String
    Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType
    description String
    Description of the feature.
    labels Map<String,String>

    A set of key/value label pairs to assign to the feature.

    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 name of the feature. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.
    entitytype string
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

    valueType string
    Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType
    description string
    Description of the feature.
    labels {[key: string]: string}

    A set of key/value label pairs to assign to the feature.

    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 name of the feature. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.
    entitytype str
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

    value_type str
    Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType
    description str
    Description of the feature.
    labels Mapping[str, str]

    A set of key/value label pairs to assign to the feature.

    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 name of the feature. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.
    entitytype String
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

    valueType String
    Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType
    description String
    Description of the feature.
    labels Map<String>

    A set of key/value label pairs to assign to the feature.

    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 name of the feature. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.

    Outputs

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

    CreateTime string
    The timestamp of when the entity type 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.
    Region string
    The region of the feature
    UpdateTime string
    The timestamp when the entity type was most recently updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    CreateTime string
    The timestamp of when the entity type 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.
    Region string
    The region of the feature
    UpdateTime string
    The timestamp when the entity type was most recently updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    createTime String
    The timestamp of when the entity type 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.
    region String
    The region of the feature
    updateTime String
    The timestamp when the entity type was most recently updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    createTime string
    The timestamp of when the entity type 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.
    region string
    The region of the feature
    updateTime string
    The timestamp when the entity type was most recently updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    create_time str
    The timestamp of when the entity type 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.
    region str
    The region of the feature
    update_time str
    The timestamp when the entity type was most recently updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    createTime String
    The timestamp of when the entity type 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.
    region String
    The region of the feature
    updateTime String
    The timestamp when the entity type was most recently updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

    Look up Existing AiFeatureStoreEntityTypeFeature Resource

    Get an existing AiFeatureStoreEntityTypeFeature 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?: AiFeatureStoreEntityTypeFeatureState, opts?: CustomResourceOptions): AiFeatureStoreEntityTypeFeature
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        create_time: Optional[str] = None,
        description: Optional[str] = None,
        effective_labels: Optional[Mapping[str, str]] = None,
        entitytype: Optional[str] = None,
        etag: Optional[str] = None,
        labels: Optional[Mapping[str, str]] = None,
        name: Optional[str] = None,
        pulumi_labels: Optional[Mapping[str, str]] = None,
        region: Optional[str] = None,
        update_time: Optional[str] = None,
        value_type: Optional[str] = None) -> AiFeatureStoreEntityTypeFeature
    func GetAiFeatureStoreEntityTypeFeature(ctx *Context, name string, id IDInput, state *AiFeatureStoreEntityTypeFeatureState, opts ...ResourceOption) (*AiFeatureStoreEntityTypeFeature, error)
    public static AiFeatureStoreEntityTypeFeature Get(string name, Input<string> id, AiFeatureStoreEntityTypeFeatureState? state, CustomResourceOptions? opts = null)
    public static AiFeatureStoreEntityTypeFeature get(String name, Output<String> id, AiFeatureStoreEntityTypeFeatureState state, CustomResourceOptions options)
    Resource lookup is not supported in YAML
    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:
    CreateTime string
    The timestamp of when the entity type was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    Description string
    Description of the feature.
    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.
    Entitytype string
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

    Etag string
    Used to perform consistent read-modify-write updates.
    Labels Dictionary<string, string>

    A set of key/value label pairs to assign to the feature.

    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 name of the feature. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.
    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 the feature
    UpdateTime string
    The timestamp when the entity type was most recently updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    ValueType string
    Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType
    CreateTime string
    The timestamp of when the entity type was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    Description string
    Description of the feature.
    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.
    Entitytype string
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

    Etag string
    Used to perform consistent read-modify-write updates.
    Labels map[string]string

    A set of key/value label pairs to assign to the feature.

    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 name of the feature. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.
    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 the feature
    UpdateTime string
    The timestamp when the entity type was most recently updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    ValueType string
    Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType
    createTime String
    The timestamp of when the entity type was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    description String
    Description of the feature.
    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.
    entitytype String
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

    etag String
    Used to perform consistent read-modify-write updates.
    labels Map<String,String>

    A set of key/value label pairs to assign to the feature.

    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 name of the feature. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.
    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 the feature
    updateTime String
    The timestamp when the entity type was most recently updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    valueType String
    Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType
    createTime string
    The timestamp of when the entity type was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    description string
    Description of the feature.
    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.
    entitytype string
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

    etag string
    Used to perform consistent read-modify-write updates.
    labels {[key: string]: string}

    A set of key/value label pairs to assign to the feature.

    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 name of the feature. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.
    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 the feature
    updateTime string
    The timestamp when the entity type was most recently updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    valueType string
    Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType
    create_time str
    The timestamp of when the entity type was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    description str
    Description of the feature.
    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.
    entitytype str
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

    etag str
    Used to perform consistent read-modify-write updates.
    labels Mapping[str, str]

    A set of key/value label pairs to assign to the feature.

    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 name of the feature. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.
    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 the feature
    update_time str
    The timestamp when the entity type was most recently updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    value_type str
    Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType
    createTime String
    The timestamp of when the entity type was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    description String
    Description of the feature.
    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.
    entitytype String
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

    etag String
    Used to perform consistent read-modify-write updates.
    labels Map<String>

    A set of key/value label pairs to assign to the feature.

    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 name of the feature. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.
    pulumiLabels Map<String>
    The combination of labels configured directly on the resource and default labels configured on the provider.
    region String
    The region of the feature
    updateTime String
    The timestamp when the entity type was most recently updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
    valueType String
    Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType

    Import

    FeaturestoreEntitytypeFeature can be imported using any of these accepted formats:

    • {{entitytype}}/features/{{name}}

    When using the pulumi import command, FeaturestoreEntitytypeFeature can be imported using one of the formats above. For example:

    $ pulumi import gcp:vertex/aiFeatureStoreEntityTypeFeature:AiFeatureStoreEntityTypeFeature default {{entitytype}}/features/{{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 Classic v8.9.3 published on Monday, Nov 18, 2024 by Pulumi
    pulumi/pulumi-gcp