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Google Vertex AI Featurestore Entitytype

This page shows how to write Terraform for Vertex AI Featurestore Entitytype and write them securely.

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google_vertex_ai_featurestore_entitytype (Terraform)

The Featurestore Entitytype in Vertex AI can be configured in Terraform with the resource name google_vertex_ai_featurestore_entitytype. The following sections describe how to use the resource and its parameters.

Example Usage from GitHub

An example could not be found in GitHub.

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Parameters

The following arguments are supported:

  • featurestore - (Required) The name of the Featurestore to use, in the format projects/[project]/locations/[location]/featurestores/[featurestore].

  • name - (Optional) 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.

  • labels - (Optional) A set of key/value label pairs to assign to this EntityType.

  • monitoring_config - (Optional) 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.

The monitoring_config block supports:

  • snapshot_analysis - (Optional) Configuration of how features in Featurestore are monitored. Structure is documented below.

The snapshot_analysis block supports:

  • disabled - (Optional) 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 - (Optional) 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".

In addition to the arguments listed above, the following computed attributes are exported:

  • id - an identifier for the resource with format [[featurestore]]/entityTypes/[[name]]

  • etag - Used to perform consistent read-modify-write updates.

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

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

>> from Terraform Registry

Explanation in Terraform Registry

An entity type is a type of object in a system that needs to be modeled and have stored information about. For example, driver is an entity type, and driver0 is an instance of an entity type driver.

Warning: This resource is in beta, and should be used with the terraform-provider-google-beta provider. See Provider Versions for more details on beta resources. To get more information about FeaturestoreEntitytype, see:

>> from Terraform Registry

The Other Related Google Vertex AI Resources

Frequently asked questions

What is Google Vertex AI Featurestore Entitytype?

Google Vertex AI Featurestore Entitytype is a resource for Vertex AI of Google Cloud Platform. Settings can be wrote in Terraform.

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