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Google Vertex AI Featurestore

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

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google_vertex_ai_featurestore (Terraform)

The Featurestore in Vertex AI can be configured in Terraform with the resource name google_vertex_ai_featurestore. 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:

  • name - (Optional) The name of the Featurestore. 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 Featurestore.

  • online_serving_config - (Optional) Config for online serving resources. Structure is documented below.

  • region - (Optional) The region of the dataset. eg us-central1

  • project - (Optional) The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

  • force_destroy - (Optional) If set to true, any EntityTypes and Features for this Featurestore will also be deleted

The online_serving_config block supports:

  • fixed_node_count - (Required) The number of nodes for each cluster. The number of nodes will not scale automatically but can be scaled manually by providing different values when updating.

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

  • id - an identifier for the resource with format projects/[[project]]/locations/[[region]]/featurestores/[[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

A collection of DataItems and Annotations on them.

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 Featurestore, see:

>> from Terraform Registry

The Other Related Google Vertex AI Resources

Frequently asked questions

What is Google Vertex AI Featurestore?

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

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