gcp.vertex.AiFeatureStoreEntityTypeFeature
Explore with Pulumi AI
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
Example Usage
Vertex Ai Featurestore Entitytype Feature
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()
{
Labels =
{
{ "foo", "bar" },
},
Region = "us-central1",
OnlineServingConfig = new Gcp.Vertex.Inputs.AiFeatureStoreOnlineServingConfigArgs
{
FixedNodeCount = 2,
},
});
var entity = new Gcp.Vertex.AiFeatureStoreEntityType("entity", new()
{
Labels =
{
{ "foo", "bar" },
},
Featurestore = featurestore.Id,
});
var feature = new Gcp.Vertex.AiFeatureStoreEntityTypeFeature("feature", new()
{
Labels =
{
{ "foo", "bar" },
},
Entitytype = entity.Id,
ValueType = "INT64_ARRAY",
});
});
package main
import (
"github.com/pulumi/pulumi-gcp/sdk/v6/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{
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{
Labels: pulumi.StringMap{
"foo": pulumi.String("bar"),
},
Featurestore: featurestore.ID(),
})
if err != nil {
return err
}
_, err = vertex.NewAiFeatureStoreEntityTypeFeature(ctx, "feature", &vertex.AiFeatureStoreEntityTypeFeatureArgs{
Labels: pulumi.StringMap{
"foo": pulumi.String("bar"),
},
Entitytype: entity.ID(),
ValueType: pulumi.String("INT64_ARRAY"),
})
if err != nil {
return err
}
return nil
})
}
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()
.labels(Map.of("foo", "bar"))
.region("us-central1")
.onlineServingConfig(AiFeatureStoreOnlineServingConfigArgs.builder()
.fixedNodeCount(2)
.build())
.build());
var entity = new AiFeatureStoreEntityType("entity", AiFeatureStoreEntityTypeArgs.builder()
.labels(Map.of("foo", "bar"))
.featurestore(featurestore.id())
.build());
var feature = new AiFeatureStoreEntityTypeFeature("feature", AiFeatureStoreEntityTypeFeatureArgs.builder()
.labels(Map.of("foo", "bar"))
.entitytype(entity.id())
.valueType("INT64_ARRAY")
.build());
}
}
import pulumi
import pulumi_gcp as gcp
featurestore = gcp.vertex.AiFeatureStore("featurestore",
labels={
"foo": "bar",
},
region="us-central1",
online_serving_config=gcp.vertex.AiFeatureStoreOnlineServingConfigArgs(
fixed_node_count=2,
))
entity = gcp.vertex.AiFeatureStoreEntityType("entity",
labels={
"foo": "bar",
},
featurestore=featurestore.id)
feature = gcp.vertex.AiFeatureStoreEntityTypeFeature("feature",
labels={
"foo": "bar",
},
entitytype=entity.id,
value_type="INT64_ARRAY")
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const featurestore = new gcp.vertex.AiFeatureStore("featurestore", {
labels: {
foo: "bar",
},
region: "us-central1",
onlineServingConfig: {
fixedNodeCount: 2,
},
});
const entity = new gcp.vertex.AiFeatureStoreEntityType("entity", {
labels: {
foo: "bar",
},
featurestore: featurestore.id,
});
const feature = new gcp.vertex.AiFeatureStoreEntityTypeFeature("feature", {
labels: {
foo: "bar",
},
entitytype: entity.id,
valueType: "INT64_ARRAY",
});
resources:
featurestore:
type: gcp:vertex:AiFeatureStore
properties:
labels:
foo: bar
region: us-central1
onlineServingConfig:
fixedNodeCount: 2
entity:
type: gcp:vertex:AiFeatureStoreEntityType
properties:
labels:
foo: bar
featurestore: ${featurestore.id}
feature:
type: gcp:vertex:AiFeatureStoreEntityTypeFeature
properties:
labels:
foo: bar
entitytype: ${entity.id}
valueType: INT64_ARRAY
Vertex Ai Featurestore Entitytype Feature With Beta Fields
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()
{
Labels =
{
{ "foo", "bar" },
},
Region = "us-central1",
OnlineServingConfig = new Gcp.Vertex.Inputs.AiFeatureStoreOnlineServingConfigArgs
{
FixedNodeCount = 2,
},
}, new CustomResourceOptions
{
Provider = google_beta,
});
var entity = new Gcp.Vertex.AiFeatureStoreEntityType("entity", new()
{
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,
},
},
}, new CustomResourceOptions
{
Provider = google_beta,
});
var feature = new Gcp.Vertex.AiFeatureStoreEntityTypeFeature("feature", new()
{
Labels =
{
{ "foo", "bar" },
},
Entitytype = entity.Id,
ValueType = "INT64_ARRAY",
}, new CustomResourceOptions
{
Provider = google_beta,
});
});
package main
import (
"github.com/pulumi/pulumi-gcp/sdk/v6/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{
Labels: pulumi.StringMap{
"foo": pulumi.String("bar"),
},
Region: pulumi.String("us-central1"),
OnlineServingConfig: &vertex.AiFeatureStoreOnlineServingConfigArgs{
FixedNodeCount: pulumi.Int(2),
},
}, pulumi.Provider(google_beta))
if err != nil {
return err
}
entity, err := vertex.NewAiFeatureStoreEntityType(ctx, "entity", &vertex.AiFeatureStoreEntityTypeArgs{
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),
},
},
}, pulumi.Provider(google_beta))
if err != nil {
return err
}
_, err = vertex.NewAiFeatureStoreEntityTypeFeature(ctx, "feature", &vertex.AiFeatureStoreEntityTypeFeatureArgs{
Labels: pulumi.StringMap{
"foo": pulumi.String("bar"),
},
Entitytype: entity.ID(),
ValueType: pulumi.String("INT64_ARRAY"),
}, pulumi.Provider(google_beta))
if err != nil {
return err
}
return nil
})
}
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 com.pulumi.resources.CustomResourceOptions;
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()
.labels(Map.of("foo", "bar"))
.region("us-central1")
.onlineServingConfig(AiFeatureStoreOnlineServingConfigArgs.builder()
.fixedNodeCount(2)
.build())
.build(), CustomResourceOptions.builder()
.provider(google_beta)
.build());
var entity = new AiFeatureStoreEntityType("entity", AiFeatureStoreEntityTypeArgs.builder()
.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(), CustomResourceOptions.builder()
.provider(google_beta)
.build());
var feature = new AiFeatureStoreEntityTypeFeature("feature", AiFeatureStoreEntityTypeFeatureArgs.builder()
.labels(Map.of("foo", "bar"))
.entitytype(entity.id())
.valueType("INT64_ARRAY")
.build(), CustomResourceOptions.builder()
.provider(google_beta)
.build());
}
}
import pulumi
import pulumi_gcp as gcp
featurestore = gcp.vertex.AiFeatureStore("featurestore",
labels={
"foo": "bar",
},
region="us-central1",
online_serving_config=gcp.vertex.AiFeatureStoreOnlineServingConfigArgs(
fixed_node_count=2,
),
opts=pulumi.ResourceOptions(provider=google_beta))
entity = gcp.vertex.AiFeatureStoreEntityType("entity",
labels={
"foo": "bar",
},
featurestore=featurestore.id,
monitoring_config=gcp.vertex.AiFeatureStoreEntityTypeMonitoringConfigArgs(
snapshot_analysis=gcp.vertex.AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysisArgs(
disabled=False,
monitoring_interval="86400s",
),
categorical_threshold_config=gcp.vertex.AiFeatureStoreEntityTypeMonitoringConfigCategoricalThresholdConfigArgs(
value=0.3,
),
numerical_threshold_config=gcp.vertex.AiFeatureStoreEntityTypeMonitoringConfigNumericalThresholdConfigArgs(
value=0.3,
),
),
opts=pulumi.ResourceOptions(provider=google_beta))
feature = gcp.vertex.AiFeatureStoreEntityTypeFeature("feature",
labels={
"foo": "bar",
},
entitytype=entity.id,
value_type="INT64_ARRAY",
opts=pulumi.ResourceOptions(provider=google_beta))
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const featurestore = new gcp.vertex.AiFeatureStore("featurestore", {
labels: {
foo: "bar",
},
region: "us-central1",
onlineServingConfig: {
fixedNodeCount: 2,
},
}, {
provider: google_beta,
});
const entity = new gcp.vertex.AiFeatureStoreEntityType("entity", {
labels: {
foo: "bar",
},
featurestore: featurestore.id,
monitoringConfig: {
snapshotAnalysis: {
disabled: false,
monitoringInterval: "86400s",
},
categoricalThresholdConfig: {
value: 0.3,
},
numericalThresholdConfig: {
value: 0.3,
},
},
}, {
provider: google_beta,
});
const feature = new gcp.vertex.AiFeatureStoreEntityTypeFeature("feature", {
labels: {
foo: "bar",
},
entitytype: entity.id,
valueType: "INT64_ARRAY",
}, {
provider: google_beta,
});
resources:
featurestore:
type: gcp:vertex:AiFeatureStore
properties:
labels:
foo: bar
region: us-central1
onlineServingConfig:
fixedNodeCount: 2
options:
provider: ${["google-beta"]}
entity:
type: gcp:vertex:AiFeatureStoreEntityType
properties:
labels:
foo: bar
featurestore: ${featurestore.id}
monitoringConfig:
snapshotAnalysis:
disabled: false
monitoringInterval: 86400s
categoricalThresholdConfig:
value: 0.3
numericalThresholdConfig:
value: 0.3
options:
provider: ${["google-beta"]}
feature:
type: gcp:vertex:AiFeatureStoreEntityTypeFeature
properties:
labels:
foo: bar
entitytype: ${entity.id}
valueType: INT64_ARRAY
options:
provider: ${["google-beta"]}
Create AiFeatureStoreEntityTypeFeature Resource
new AiFeatureStoreEntityTypeFeature(name: string, args: AiFeatureStoreEntityTypeFeatureArgs, opts?: CustomResourceOptions);
@overload
def AiFeatureStoreEntityTypeFeature(resource_name: str,
opts: Optional[ResourceOptions] = None,
description: Optional[str] = None,
entitytype: Optional[str] = None,
labels: Optional[Mapping[str, str]] = None,
name: Optional[str] = None,
value_type: Optional[str] = None)
@overload
def AiFeatureStoreEntityTypeFeature(resource_name: str,
args: AiFeatureStoreEntityTypeFeatureArgs,
opts: Optional[ResourceOptions] = 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.
- 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.
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
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}.
- Value
Type 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.
- 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}.
- Value
Type 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.
- 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}.
- value
Type 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.
- 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}.
- value
Type 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.
- 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.
- 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}.
- value
Type 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.
- 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:
- Create
Time string The timestamp of when the entity type was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- Etag string
Used to perform consistent read-modify-write updates.
- Id string
The provider-assigned unique ID for this managed resource.
- Region string
The region of the feature
- Update
Time 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 string The timestamp of when the entity type was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- Etag string
Used to perform consistent read-modify-write updates.
- Id string
The provider-assigned unique ID for this managed resource.
- Region string
The region of the feature
- Update
Time 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 String The timestamp of when the entity type was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- etag String
Used to perform consistent read-modify-write updates.
- id String
The provider-assigned unique ID for this managed resource.
- region String
The region of the feature
- update
Time 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 string The timestamp of when the entity type was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- etag string
Used to perform consistent read-modify-write updates.
- id string
The provider-assigned unique ID for this managed resource.
- region string
The region of the feature
- update
Time 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.
- etag str
Used to perform consistent read-modify-write updates.
- id str
The provider-assigned unique ID for this managed resource.
- 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.
- create
Time String The timestamp of when the entity type was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- etag String
Used to perform consistent read-modify-write updates.
- id String
The provider-assigned unique ID for this managed resource.
- region String
The region of the feature
- update
Time 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,
entitytype: Optional[str] = None,
etag: Optional[str] = None,
labels: Optional[Mapping[str, str]] = None,
name: Optional[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.
- Create
Time 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.
- 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.
- 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.
- Region string
The region of the feature
- Update
Time 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.
- Value
Type string Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType
- Create
Time 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.
- 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.
- 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.
- Region string
The region of the feature
- Update
Time 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.
- Value
Type string Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType
- create
Time 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.
- 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.
- 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.
- region String
The region of the feature
- update
Time 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.
- value
Type String Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType
- create
Time 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.
- 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.
- 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.
- region string
The region of the feature
- update
Time 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.
- value
Type 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.
- 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.
- 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.
- 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
- create
Time 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.
- 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.
- 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.
- region String
The region of the feature
- update
Time 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.
- value
Type 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:
$ pulumi import gcp:vertex/aiFeatureStoreEntityTypeFeature:AiFeatureStoreEntityTypeFeature default {{entitytype}}/features/{{name}}
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.