Delete a feature group

When you delete a feature group, you automatically unregister any BigQuery data sources that were registered for that feature group. If the feature group contains existing features, you can use the force query parameter to delete the feature group. Deleting a feature group unregisters the BigQuery table or view from the Feature Registry and doesn't affect the feature data contained in those data sources.

Before you begin

Authenticate to Vertex AI, unless you've done so already.

Select the tab for how you plan to use the samples on this page:


When you use the Google Cloud console to access Google Cloud services and APIs, you don't need to set up authentication.


To use the REST API samples on this page in a local development environment, you use the credentials you provide to the gcloud CLI.

    Install the Google Cloud CLI, then initialize it by running the following command:

    gcloud init

For more information, see Authenticate for using REST in the Google Cloud authentication documentation.

Delete a feature group

Use the following samples to delete a feature group along with its features.


Use the following instructions to delete a feature group and all its features using the Google Cloud console.

  1. In the Vertex AI section of the Google Cloud console, go to the Feature Store page.

    Go to the Feature Store page

  2. In the Feature groups section, select checkbox next to the feature group that you want to delete.

  3. Click Delete and then click Confirm.


To delete a FeatureGroup resource, send a DELETE request by using the featureGroups.delete method.

Before using any of the request data, make the following replacements:

  • LOCATION_ID: Region where the feature group is located, such as us-central1.
  • PROJECT_ID: Your project ID.
  • FEATURE_GROUP_NAME: The name of the feature group that you want to delete.
  • BOOLEAN: Optional: To delete the feature group even if it contains features, enter true. The default value is false.

HTTP method and URL:


To send your request, choose one of these options:


Execute the following command:

curl -X DELETE \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \


Execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method DELETE `
-Headers $headers `
-Uri "" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

  "name": "projects/PROJECT_NUMBER/locations/LOCATION_ID/operations/OPERATION_ID",
  "metadata": {
    "@type": "",
    "genericMetadata": {
      "createTime": "2023-09-15T04:54:03.632646Z",
      "updateTime": "2023-09-15T04:54:03.632646Z"
  "done": true,
  "response": {
    "@type": ""

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