AiFeatureStoreEntityTypeFeature class

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:

• API documentation
• How-to Guides
• Official Documentation

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")

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 main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/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().ToIDOutput().ToStringOutput(),
		})
		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().ToIDOutput().ToStringOutput(),
			ValueType:  pulumi.String("INT64_ARRAY"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

pulumi {
  required_providers {
    gcp = {
      source = "pulumi/gcp"
    }
  }
}

resource "gcp_vertex_aifeaturestore" "featurestore" {
  name = "terraform"
  labels = {
    "foo" = "bar"
  }
  region = "us-central1"
  online_serving_config = {
    fixed_node_count = 2
  }
}
resource "gcp_vertex_aifeaturestoreentitytype" "entity" {
  name = "terraform"
  labels = {
    "foo" = "bar"
  }
  featurestore = gcp_vertex_aifeaturestore.featurestore.id
}
resource "gcp_vertex_aifeaturestoreentitytypefeature" "feature" {
  name = "terraform"
  labels = {
    "foo" = "bar"
  }
  entitytype = gcp_vertex_aifeaturestoreentitytype.entity.id
  value_type = "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.ArrayList;
import java.util.Arrays;
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")

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 main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/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().ToIDOutput().ToStringOutput(),
			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().ToIDOutput().ToStringOutput(),
			ValueType:  pulumi.String("INT64_ARRAY"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

pulumi {
  required_providers {
    gcp = {
      source = "pulumi/gcp"
    }
  }
}

resource "gcp_vertex_aifeaturestore" "featurestore" {
  name = "terraform2"
  labels = {
    "foo" = "bar"
  }
  region = "us-central1"
  online_serving_config = {
    fixed_node_count = 2
  }
}
resource "gcp_vertex_aifeaturestoreentitytype" "entity" {
  name = "terraform2"
  labels = {
    "foo" = "bar"
  }
  featurestore = gcp_vertex_aifeaturestore.featurestore.id
  monitoring_config = {
    snapshot_analysis = {
      disabled            = false
      monitoring_interval = "86400s"
    }
    categorical_threshold_config = {
      value = 0.3
    }
    numerical_threshold_config = {
      value = 0.3
    }
  }
}
resource "gcp_vertex_aifeaturestoreentitytypefeature" "feature" {
  name = "terraform2"
  labels = {
    "foo" = "bar"
  }
  entitytype = gcp_vertex_aifeaturestoreentitytype.entity.id
  value_type = "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.ArrayList;
import java.util.Arrays;
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

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}}

Constructors

AiFeatureStoreEntityTypeFeature(String name, {AiFeatureStoreEntityTypeFeatureArgs? args, CustomResourceOptions? options})

Creates a new AiFeatureStoreEntityTypeFeature. name The Pulumi resource name. args Arguments used to configure this AiFeatureStoreEntityTypeFeature. The set of arguments for AiFeatureStoreEntityTypeFeature. options Resource options controlling this resource's behavior.

AiFeatureStoreEntityTypeFeature.reference(String urn)

Creates a typed reference to an existing AiFeatureStoreEntityTypeFeature resource.

Properties

childResources → Set<Resource>

final, inherited

completionSources ↔ Map<String, IOutputCompletionSource>

late, final, inherited

createTime ↔ Output<String>

The timestamp of when the entity type was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

late, final

deletionPolicy ↔ Output<String>

Whether Terraform will be prevented from destroying the resource. Defaults to DELETE. When a 'terraform destroy' or 'pulumi up' would delete the resource, the command will fail if this field is set to "PREVENT" in Terraform state. When set to "ABANDON", the command will remove the resource from Terraform management without updating or deleting the resource in the API. When set to "DELETE", deleting the resource is allowed.

late, final

description ↔ Output<String?>

Description of the feature.

late, final

effectiveLabels ↔ Output<Map<String, String>>

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

late, final

entitytype ↔ Output<String>

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

late, final

etag ↔ Output<String>

Used to perform consistent read-modify-write updates.

late, final

hashCode → int

The hash code for this object.

no setter, inherited

id ↔ Output<String>

getter/setter pair, inherited

isCustom → bool

Returns whether this resource is provider-managed.

no setter, inherited

isProtected → bool

Returns whether this resource is protected from deletion.

no setter, inherited

isRemote → bool

Whether this resource is registered as remote.

no setter, inherited

isResourceReference → bool

Whether this instance represents a resource value returned over RPC.

final, inherited

labels ↔ Output<Map<String, String>?>

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

late, final

name ↔ Output<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.

late, final

pulumiLabels ↔ Output<Map<String, String>>

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

late, final

region ↔ Output<String>

The region of the feature

late, final

resourceTransforms → List<ResourceTransform>

Inherited/explicit async transforms.

no setter, inherited

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

transformations → List<ResourceTransformation>

Inherited/explicit legacy transformations.

no setter, inherited

updateTime ↔ Output<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.

late, final

urn ↔ Output<String>

late, final, inherited

valueType ↔ Output<String>

Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType

late, final

Methods

failId(Object error) → void

Completes this resource ID with an error when registration fails.

inherited

failOutputs(Object error) → void

Completes all output properties with error.

inherited

failUrn(Object error) → void

Completes this resource URN with an error when registration fails.

inherited

getProvider(String moduleMember) → ProviderResource?

Returns provider for moduleMember's package, if configured.

inherited

getResourceName() → String

Returns this resource's logical name.

inherited

getResourceType() → String

Returns this resource's Pulumi type token.

inherited

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

registerOutput<T>(String propertyName, {Object? decoder(Object?)?, bool isSecret = false}) → Output<T>

Registers a dynamic output property for this resource.

inherited

resolveId(String? value, {required bool isKnown}) → void

Resolves the provider-assigned ID for this resource.

inherited

resolveOutputs(Struct outputs) → void

Resolves all output properties from a monitor response payload.

inherited

resolveUrn(String value) → void

Resolves this resource's URN once assigned by the engine.

inherited

serializeProperties(Map<String, dynamic> properties) → Future<Struct>

Serializes resource properties for RPC transmission.

inherited

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited

Static Methods

get(String name, Input<String> id, {AiFeatureStoreEntityTypeFeatureState? state, CustomResourceOptions? options}) → AiFeatureStoreEntityTypeFeature

Gets an existing AiFeatureStoreEntityTypeFeature resource's state with the given name and id.