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Google Cloud v8.25.0 published on Thursday, Apr 3, 2025 by Pulumi
pulumi/pulumi-gcp

gcp.vertex.AiFeatureStoreEntityTypeFeature

Explore with Pulumi AI

Google Cloud v8.25.0 published on Thursday, Apr 3, 2025 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",
});
Copy
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")
Copy
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
	})
}
Copy
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",
    });

});
Copy
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());

    }
}
Copy
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
Copy

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",
});
Copy
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")
Copy
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
	})
}
Copy
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",
    });

});
Copy
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());

    }
}
Copy
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
Copy

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 This property is required. string
The unique name of the resource.
args This property is required. AiFeatureStoreEntityTypeFeatureArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
resource_name This property is required. str
The unique name of the resource.
args This property is required. 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 This property is required. string
The unique name of the resource.
args This property is required. AiFeatureStoreEntityTypeFeatureArgs
The arguments to resource properties.
opts ResourceOption
Bag of options to control resource's behavior.
name This property is required. string
The unique name of the resource.
args This property is required. AiFeatureStoreEntityTypeFeatureArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
name This property is required. String
The unique name of the resource.
args This property is required. 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",
});
Copy
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"),
})
Copy
var aiFeatureStoreEntityTypeFeatureResource = new AiFeatureStoreEntityTypeFeature("aiFeatureStoreEntityTypeFeatureResource", AiFeatureStoreEntityTypeFeatureArgs.builder()
    .entitytype("string")
    .valueType("string")
    .description("string")
    .labels(Map.of("string", "string"))
    .name("string")
    .build());
Copy
ai_feature_store_entity_type_feature_resource = gcp.vertex.AiFeatureStoreEntityTypeFeature("aiFeatureStoreEntityTypeFeatureResource",
    entitytype="string",
    value_type="string",
    description="string",
    labels={
        "string": "string",
    },
    name="string")
Copy
const aiFeatureStoreEntityTypeFeatureResource = new gcp.vertex.AiFeatureStoreEntityTypeFeature("aiFeatureStoreEntityTypeFeatureResource", {
    entitytype: "string",
    valueType: "string",
    description: "string",
    labels: {
        string: "string",
    },
    name: "string",
});
Copy
type: gcp:vertex:AiFeatureStoreEntityTypeFeature
properties:
    description: string
    entitytype: string
    labels:
        string: string
    name: string
    valueType: string
Copy

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
This property is required.
Changes to this property will trigger replacement.
string
The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

ValueType
This property is required.
Changes to this property will trigger replacement.
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 Changes to this property will trigger replacement. 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
This property is required.
Changes to this property will trigger replacement.
string
The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

ValueType
This property is required.
Changes to this property will trigger replacement.
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 Changes to this property will trigger replacement. 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
This property is required.
Changes to this property will trigger replacement.
String
The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

valueType
This property is required.
Changes to this property will trigger replacement.
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 Changes to this property will trigger replacement. 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
This property is required.
Changes to this property will trigger replacement.
string
The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

valueType
This property is required.
Changes to this property will trigger replacement.
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 Changes to this property will trigger replacement. 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
This property is required.
Changes to this property will trigger replacement.
str
The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

value_type
This property is required.
Changes to this property will trigger replacement.
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 Changes to this property will trigger replacement. 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
This property is required.
Changes to this property will trigger replacement.
String
The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

valueType
This property is required.
Changes to this property will trigger replacement.
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 Changes to this property will trigger replacement. 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)
resources:  _:    type: gcp:vertex:AiFeatureStoreEntityTypeFeature    get:      id: ${id}
name This property is required.
The unique name of the resulting resource.
id This property is required.
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 This property is required.
The unique name of the resulting resource.
id This property is required.
The unique provider ID of the resource to lookup.
name This property is required.
The unique name of the resulting resource.
id This property is required.
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 This property is required.
The unique name of the resulting resource.
id This property is required.
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 This property is required.
The unique name of the resulting resource.
id This property is required.
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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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}}
Copy

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.
Google Cloud v8.25.0 published on Thursday, Apr 3, 2025 by Pulumi
pulumi/pulumi-gcp