Google Cloud (GCP) Classic

Pulumi Official
Package maintained by Pulumi
v6.34.0 published on Wednesday, Aug 17, 2022 by Pulumi

AiFeatureStoreEntityType

Import

FeaturestoreEntitytype can be imported using any of these accepted formats

 $ pulumi import gcp:vertex/aiFeatureStoreEntityType:AiFeatureStoreEntityType default {{featurestore}}/entityTypes/{{name}}

Example Usage

Vertex Ai Featurestore Entitytype

using System.Collections.Generic;
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",
            },
        },
    }, 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
		}
		_, 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"),
				},
			},
		}, 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.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())
                .build())
            .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",
        ),
    ),
    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",
        },
    },
}, {
    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
    options:
      provider: ${["google-beta"]}

Create a AiFeatureStoreEntityType Resource

new AiFeatureStoreEntityType(name: string, args: AiFeatureStoreEntityTypeArgs, opts?: CustomResourceOptions);
@overload
def AiFeatureStoreEntityType(resource_name: str,
                             opts: Optional[ResourceOptions] = None,
                             featurestore: Optional[str] = None,
                             labels: Optional[Mapping[str, str]] = None,
                             monitoring_config: Optional[AiFeatureStoreEntityTypeMonitoringConfigArgs] = None,
                             name: Optional[str] = None)
@overload
def AiFeatureStoreEntityType(resource_name: str,
                             args: AiFeatureStoreEntityTypeArgs,
                             opts: Optional[ResourceOptions] = None)
func NewAiFeatureStoreEntityType(ctx *Context, name string, args AiFeatureStoreEntityTypeArgs, opts ...ResourceOption) (*AiFeatureStoreEntityType, error)
public AiFeatureStoreEntityType(string name, AiFeatureStoreEntityTypeArgs args, CustomResourceOptions? opts = null)
public AiFeatureStoreEntityType(String name, AiFeatureStoreEntityTypeArgs args)
public AiFeatureStoreEntityType(String name, AiFeatureStoreEntityTypeArgs args, CustomResourceOptions options)
type: gcp:vertex:AiFeatureStoreEntityType
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

name string
The unique name of the resource.
args AiFeatureStoreEntityTypeArgs
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 AiFeatureStoreEntityTypeArgs
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 AiFeatureStoreEntityTypeArgs
The arguments to resource properties.
opts ResourceOption
Bag of options to control resource's behavior.
name string
The unique name of the resource.
args AiFeatureStoreEntityTypeArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
name String
The unique name of the resource.
args AiFeatureStoreEntityTypeArgs
The arguments to resource properties.
options CustomResourceOptions
Bag of options to control resource's behavior.

AiFeatureStoreEntityType 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 AiFeatureStoreEntityType resource accepts the following input properties:

Featurestore string

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

Labels Dictionary<string, string>

A set of key/value label pairs to assign to this EntityType.

MonitoringConfig AiFeatureStoreEntityTypeMonitoringConfigArgs

The default monitoring configuration for all Features under this EntityType. If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled. Structure is documented below.

Name string

The name of the EntityType. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.

Featurestore string

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

Labels map[string]string

A set of key/value label pairs to assign to this EntityType.

MonitoringConfig AiFeatureStoreEntityTypeMonitoringConfigArgs

The default monitoring configuration for all Features under this EntityType. If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled. Structure is documented below.

Name string

The name of the EntityType. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.

featurestore String

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

labels Map<String,String>

A set of key/value label pairs to assign to this EntityType.

monitoringConfig AiFeatureStoreEntityTypeMonitoringConfigArgs

The default monitoring configuration for all Features under this EntityType. If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled. Structure is documented below.

name String

The name of the EntityType. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.

featurestore string

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

labels {[key: string]: string}

A set of key/value label pairs to assign to this EntityType.

monitoringConfig AiFeatureStoreEntityTypeMonitoringConfigArgs

The default monitoring configuration for all Features under this EntityType. If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled. Structure is documented below.

name string

The name of the EntityType. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.

featurestore str

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

labels Mapping[str, str]

A set of key/value label pairs to assign to this EntityType.

monitoring_config AiFeatureStoreEntityTypeMonitoringConfigArgs

The default monitoring configuration for all Features under this EntityType. If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled. Structure is documented below.

name str

The name of the EntityType. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.

featurestore String

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

labels Map<String>

A set of key/value label pairs to assign to this EntityType.

monitoringConfig Property Map

The default monitoring configuration for all Features under this EntityType. If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled. Structure is documented below.

name String

The name of the EntityType. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.

Outputs

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

CreateTime string

The timestamp of when the featurestore 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.

UpdateTime string

The timestamp of when the featurestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

CreateTime string

The timestamp of when the featurestore 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.

UpdateTime string

The timestamp of when the featurestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

createTime String

The timestamp of when the featurestore 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.

updateTime String

The timestamp of when the featurestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

createTime string

The timestamp of when the featurestore 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.

updateTime string

The timestamp of when the featurestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

create_time str

The timestamp of when the featurestore 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.

update_time str

The timestamp of when the featurestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

createTime String

The timestamp of when the featurestore 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.

updateTime String

The timestamp of when the featurestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

Look up an Existing AiFeatureStoreEntityType Resource

Get an existing AiFeatureStoreEntityType 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?: AiFeatureStoreEntityTypeState, opts?: CustomResourceOptions): AiFeatureStoreEntityType
@staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        create_time: Optional[str] = None,
        etag: Optional[str] = None,
        featurestore: Optional[str] = None,
        labels: Optional[Mapping[str, str]] = None,
        monitoring_config: Optional[AiFeatureStoreEntityTypeMonitoringConfigArgs] = None,
        name: Optional[str] = None,
        update_time: Optional[str] = None) -> AiFeatureStoreEntityType
func GetAiFeatureStoreEntityType(ctx *Context, name string, id IDInput, state *AiFeatureStoreEntityTypeState, opts ...ResourceOption) (*AiFeatureStoreEntityType, error)
public static AiFeatureStoreEntityType Get(string name, Input<string> id, AiFeatureStoreEntityTypeState? state, CustomResourceOptions? opts = null)
public static AiFeatureStoreEntityType get(String name, Output<String> id, AiFeatureStoreEntityTypeState state, CustomResourceOptions options)
Resource lookup is not supported in YAML
name
The unique name of the resulting resource.
id
The unique provider ID of the resource to lookup.
state
Any extra arguments used during the lookup.
opts
A bag of options that control this resource's behavior.
resource_name
The unique name of the resulting resource.
id
The unique provider ID of the resource to lookup.
name
The unique name of the resulting resource.
id
The unique provider ID of the resource to lookup.
state
Any extra arguments used during the lookup.
opts
A bag of options that control this resource's behavior.
name
The unique name of the resulting resource.
id
The unique provider ID of the resource to lookup.
state
Any extra arguments used during the lookup.
opts
A bag of options that control this resource's behavior.
name
The unique name of the resulting resource.
id
The unique provider ID of the resource to lookup.
state
Any extra arguments used during the lookup.
opts
A bag of options that control this resource's behavior.
The following state arguments are supported:
CreateTime string

The timestamp of when the featurestore 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.

Featurestore string

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

Labels Dictionary<string, string>

A set of key/value label pairs to assign to this EntityType.

MonitoringConfig AiFeatureStoreEntityTypeMonitoringConfigArgs

The default monitoring configuration for all Features under this EntityType. If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled. Structure is documented below.

Name string

The name of the EntityType. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.

UpdateTime string

The timestamp of when the featurestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

CreateTime string

The timestamp of when the featurestore 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.

Featurestore string

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

Labels map[string]string

A set of key/value label pairs to assign to this EntityType.

MonitoringConfig AiFeatureStoreEntityTypeMonitoringConfigArgs

The default monitoring configuration for all Features under this EntityType. If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled. Structure is documented below.

Name string

The name of the EntityType. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.

UpdateTime string

The timestamp of when the featurestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

createTime String

The timestamp of when the featurestore 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.

featurestore String

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

labels Map<String,String>

A set of key/value label pairs to assign to this EntityType.

monitoringConfig AiFeatureStoreEntityTypeMonitoringConfigArgs

The default monitoring configuration for all Features under this EntityType. If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled. Structure is documented below.

name String

The name of the EntityType. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.

updateTime String

The timestamp of when the featurestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

createTime string

The timestamp of when the featurestore 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.

featurestore string

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

labels {[key: string]: string}

A set of key/value label pairs to assign to this EntityType.

monitoringConfig AiFeatureStoreEntityTypeMonitoringConfigArgs

The default monitoring configuration for all Features under this EntityType. If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled. Structure is documented below.

name string

The name of the EntityType. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.

updateTime string

The timestamp of when the featurestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

create_time str

The timestamp of when the featurestore 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.

featurestore str

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

labels Mapping[str, str]

A set of key/value label pairs to assign to this EntityType.

monitoring_config AiFeatureStoreEntityTypeMonitoringConfigArgs

The default monitoring configuration for all Features under this EntityType. If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled. Structure is documented below.

name str

The name of the EntityType. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.

update_time str

The timestamp of when the featurestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

createTime String

The timestamp of when the featurestore 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.

featurestore String

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

labels Map<String>

A set of key/value label pairs to assign to this EntityType.

monitoringConfig Property Map

The default monitoring configuration for all Features under this EntityType. If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled. Structure is documented below.

name String

The name of the EntityType. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.

updateTime String

The timestamp of when the featurestore was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

Supporting Types

AiFeatureStoreEntityTypeMonitoringConfig

SnapshotAnalysis AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysis

Configuration of how features in Featurestore are monitored. Structure is documented below.

SnapshotAnalysis AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysis

Configuration of how features in Featurestore are monitored. Structure is documented below.

snapshotAnalysis AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysis

Configuration of how features in Featurestore are monitored. Structure is documented below.

snapshotAnalysis AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysis

Configuration of how features in Featurestore are monitored. Structure is documented below.

snapshot_analysis AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysis

Configuration of how features in Featurestore are monitored. Structure is documented below.

snapshotAnalysis Property Map

Configuration of how features in Featurestore are monitored. Structure is documented below.

AiFeatureStoreEntityTypeMonitoringConfigSnapshotAnalysis

Disabled bool

The monitoring schedule for snapshot analysis. For EntityType-level config: unset / disabled = true indicates disabled by default for Features under it; otherwise by default enable snapshot analysis monitoring with monitoringInterval for Features under it.

MonitoringInterval string

Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day. A duration in seconds with up to nine fractional digits, terminated by 's'. Example: "3.5s".

Disabled bool

The monitoring schedule for snapshot analysis. For EntityType-level config: unset / disabled = true indicates disabled by default for Features under it; otherwise by default enable snapshot analysis monitoring with monitoringInterval for Features under it.

MonitoringInterval string

Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day. A duration in seconds with up to nine fractional digits, terminated by 's'. Example: "3.5s".

disabled Boolean

The monitoring schedule for snapshot analysis. For EntityType-level config: unset / disabled = true indicates disabled by default for Features under it; otherwise by default enable snapshot analysis monitoring with monitoringInterval for Features under it.

monitoringInterval String

Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day. A duration in seconds with up to nine fractional digits, terminated by 's'. Example: "3.5s".

disabled boolean

The monitoring schedule for snapshot analysis. For EntityType-level config: unset / disabled = true indicates disabled by default for Features under it; otherwise by default enable snapshot analysis monitoring with monitoringInterval for Features under it.

monitoringInterval string

Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day. A duration in seconds with up to nine fractional digits, terminated by 's'. Example: "3.5s".

disabled bool

The monitoring schedule for snapshot analysis. For EntityType-level config: unset / disabled = true indicates disabled by default for Features under it; otherwise by default enable snapshot analysis monitoring with monitoringInterval for Features under it.

monitoring_interval str

Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day. A duration in seconds with up to nine fractional digits, terminated by 's'. Example: "3.5s".

disabled Boolean

The monitoring schedule for snapshot analysis. For EntityType-level config: unset / disabled = true indicates disabled by default for Features under it; otherwise by default enable snapshot analysis monitoring with monitoringInterval for Features under it.

monitoringInterval String

Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day. A duration in seconds with up to nine fractional digits, terminated by 's'. Example: "3.5s".

Package Details

Repository
https://github.com/pulumi/pulumi-gcp
License
Apache-2.0
Notes

This Pulumi package is based on the google-beta Terraform Provider.