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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:
Console
When you use the Google Cloud console to access Google Cloud services and
APIs, you don't need to set up authentication.
REST
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.
After installation,
initialize the Google Cloud CLI by running the following command:
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-28 UTC."],[],[],null,["# Delete a feature group\n\nWhen you delete a feature group, you automatically unregister any\nBigQuery data sources that were registered for that feature group. If\nthe feature group contains existing features, you can use the `force` query parameter\nto delete the feature group. Deleting a feature group unregisters the\nBigQuery table or view from the Feature Registry and\ndoesn't affect the feature data contained in those data sources.\n\nBefore you begin\n----------------\n\n\nto\nVertex AI, unless you've done so already.\n\nSelect the tab for how you plan to use the samples on this page: \n\n### Console\n\n\nWhen you use the Google Cloud console to access Google Cloud services and\nAPIs, you don't need to set up authentication.\n\n### REST\n\n\nTo use the REST API samples on this page in a local development environment, you use the\ncredentials you provide to the gcloud CLI.\n\n1. [Install](/sdk/docs/install) the Google Cloud CLI. After installation, [initialize](/sdk/docs/initializing) the Google Cloud CLI by running the following command: \n\n```bash\ngcloud init\n```\n2. If you're using an external identity provider (IdP), you must first [sign in to the gcloud CLI with your federated identity](/iam/docs/workforce-log-in-gcloud).\n\n\nFor more information, see\n[Authenticate for using REST](/docs/authentication/rest)\nin the Google Cloud authentication documentation.\n\nDelete a feature group\n----------------------\n\nUse the following samples to delete a feature group along with its features. \n\n### Console\n\nUse the following instructions to delete a feature group and all its features using the Google Cloud console.\n\n1. In the Vertex AI section of the Google Cloud console, go\n to the **Feature Store** page.\n\n [Go to the Feature Store page](https://console.cloud.google.com/vertex-ai/feature-store)\n2. In the **Feature groups** section, select checkbox next to the feature group that you want to delete.\n\n3. Click **Delete** and then click **Confirm**.\n\n### REST\n\n\nTo delete a [`FeatureGroup`](/vertex-ai/docs/reference/rest/v1/projects.locations.featureGroups#resource:-featuregroup)\nresource, send a `DELETE` request by using the\n[featureGroups.delete](/vertex-ai/docs/reference/rest/v1/projects.locations.featureGroups/delete)\nmethod.\n\n\nBefore using any of the request data,\nmake the following replacements:\n\n- \u003cvar translate=\"no\"\u003eLOCATION_ID\u003c/var\u003e: Region where the feature group is located, such as `us-central1`.\n- \u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e: Your project ID.\n- \u003cvar translate=\"no\"\u003eFEATURE_GROUP_NAME\u003c/var\u003e: The name of the feature group that you want to delete.\n- \u003cvar translate=\"no\"\u003eBOOLEAN\u003c/var\u003e: Optional: To delete the feature group even if it contains features, enter `true`. The default value is `false`.\n\n\nHTTP method and URL:\n\n```\nDELETE https://LOCATION_ID-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION_ID/featureGroups/FEATURE_GROUP_NAME?force=BOOLEAN\n```\n\nTo send your request, choose one of these options: \n\n#### curl\n\n| **Note:** The following command assumes that you have logged in to the `gcloud` CLI with your user account by running [`gcloud init`](/sdk/gcloud/reference/init) or [`gcloud auth login`](/sdk/gcloud/reference/auth/login) , or by using [Cloud Shell](/shell/docs), which automatically logs you into the `gcloud` CLI . You can check the currently active account by running [`gcloud auth list`](/sdk/gcloud/reference/auth/list).\n\n\nExecute the following command:\n\n```\ncurl -X DELETE \\\n -H \"Authorization: Bearer $(gcloud auth print-access-token)\" \\\n \"https://LOCATION_ID-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION_ID/featureGroups/FEATURE_GROUP_NAME?force=BOOLEAN\"\n```\n\n#### PowerShell\n\n| **Note:** The following command assumes that you have logged in to the `gcloud` CLI with your user account by running [`gcloud init`](/sdk/gcloud/reference/init) or [`gcloud auth login`](/sdk/gcloud/reference/auth/login) . You can check the currently active account by running [`gcloud auth list`](/sdk/gcloud/reference/auth/list).\n\n\nExecute the following command:\n\n```\n$cred = gcloud auth print-access-token\n$headers = @{ \"Authorization\" = \"Bearer $cred\" }\n\nInvoke-WebRequest `\n -Method DELETE `\n -Headers $headers `\n -Uri \"https://LOCATION_ID-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION_ID/featureGroups/FEATURE_GROUP_NAME?force=BOOLEAN\" | Select-Object -Expand Content\n```\n\nYou should receive a JSON response similar to the following:\n\n```\n{\n \"name\": \"projects/PROJECT_NUMBER/locations/LOCATION_ID/operations/OPERATION_ID\",\n \"metadata\": {\n \"@type\": \"type.googleapis.com/google.cloud.aiplatform.v1.DeleteOperationMetadata\",\n \"genericMetadata\": {\n \"createTime\": \"2023-09-15T04:54:03.632646Z\",\n \"updateTime\": \"2023-09-15T04:54:03.632646Z\"\n }\n },\n \"done\": true,\n \"response\": {\n \"@type\": \"type.googleapis.com/google.protobuf.Empty\"\n }\n}\n```\n\n\u003cbr /\u003e\n\nWhat's next\n-----------\n\n- Learn how to [create a feature group](/vertex-ai/docs/featurestore/latest/create-featuregroup).\n\n- Learn how to [update a feature group](/vertex-ai/docs/featurestore/latest/update-featuregroup).\n\n- Learn how to [delete a feature from a feature group](/vertex-ai/docs/featurestore/latest/delete-feature)."]]