Google Vertex AI Featurestore
This page shows how to write Terraform for Vertex AI Featurestore and write them securely.
Terraform Example (google_vertex_ai_featurestore)
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:
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
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
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.
Example Usage (from GitHub)
An example could not be found in GitHub.
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.