GOgoogle
projects

GET /v1/projects/{projectsId}/locations/{locationsId}/featureGroups/{featureGroupsId}

Gets details of a single FeatureGroup.

Request

  • Base URL
    https://aiplatform.googleapis.com
  • Auth
    OAuth 2 and OAuth 2
    Implicit: https://accounts.google.com/o/oauth2/auth
    Scopes: https://www.googleapis.com/auth/cloud-platform
    Authorization code: https://accounts.google.com/o/oauth2/auth
    Token URL: https://accounts.google.com/o/oauth2/token scopes: https://www.googleapis.com/auth/cloud-platform

Path parameters

projectsIdstring required
locationsIdstring required
featureGroupsIdstring required

Response

Successful response

createTimestring google-datetime

Output only. Timestamp when this FeatureGroup was created.

descriptionstring

Optional. Description of the FeatureGroup.

etagstring

Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

labelsobject

Optional. The labels with user-defined metadata to organize your FeatureGroup. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one FeatureGroup(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

namestring

Identifier. Name of the FeatureGroup. Format: projects/{project}/locations/{location}/featureGroups/{featureGroup}

serviceAccountEmailstring

Output only. A Service Account unique to this FeatureGroup. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to access source data while running jobs under this FeatureGroup.

serviceAgentType'SERVICE_AGENT_TYPE_UNSPECIFIED' | 'SERVICE_AGENT_TYPE_PROJECT' | 'SERVICE_AGENT_TYPE_FEATURE_GROUP'

Optional. Service agent type used during jobs under a FeatureGroup. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureGroup within a project, a separate service account should be provisioned by setting this field to SERVICE_AGENT_TYPE_FEATURE_GROUP. This will generate a separate service account to access the BigQuery source table.

updateTimestring google-datetime

Output only. Timestamp when this FeatureGroup was last updated.

Changes

No recorded changes to this operation across all 8 revisions of this API.