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cancela o registro da coluna de recursos no registro de atributos e
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Antes de começar
Faça a autenticação na
Vertex AI, a menos que já tenha feito isso.
Para usar as amostras da API REST nesta página em um ambiente de desenvolvimento local,
use as credenciais fornecidas para gcloud CLI.
Install the Google Cloud CLI.
After installation,
initialize the Google Cloud CLI by running the following command:
[[["Fácil de entender","easyToUnderstand","thumb-up"],["Meu problema foi resolvido","solvedMyProblem","thumb-up"],["Outro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Informações incorretas ou exemplo de código","incorrectInformationOrSampleCode","thumb-down"],["Não contém as informações/amostras de que eu preciso","missingTheInformationSamplesINeed","thumb-down"],["Problema na tradução","translationIssue","thumb-down"],["Outro","otherDown","thumb-down"]],["Última atualização 2025-08-28 UTC."],[],[],null,["# Delete a feature\n\nYou can delete specific features from a feature group. Deleting a feature\nunregisters the feature column from the Feature Registry and\ndoesn't affect the data in the column in the registered BigQuery\nsource table or view. You can [create another feature](/vertex-ai/docs/featurestore/latest/create-feature) in any\nfeature group to register the same column again, if necessary.\n\nBefore you begin\n----------------\n\n\nto\nVertex AI, unless you've done so already.\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\n----------------\n\nUse the following sample to delete a feature from a feature group. \n\n### REST\n\n\nTo delete a [`Feature`](/vertex-ai/docs/reference/rest/v1/projects.locations.featureGroups.features#resource:-feature) resource, send a `DELETE` request by using the\n[features.delete](/vertex-ai/docs/reference/rest/v1/projects.locations.featureGroups.features/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 containing the feature.\n- \u003cvar translate=\"no\"\u003eFEATURE_NAME\u003c/var\u003e: The name of the feature that you want to delete.\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/features/FEATURE_NAME\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 $(gcloud auth print-access-token)\" \\\n \"https://LOCATION_ID-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION_ID/featureGroups/FEATURE_GROUP_NAME/features/FEATURE_NAME\"\n```\n\n#### PowerShell\n\n| **Note:** The following command assumes that you have logged in to the `gcloud` CLI with your user account by running [`gcloud init`](/sdk/gcloud/reference/init) or [`gcloud auth login`](/sdk/gcloud/reference/auth/login) . You can check the currently active account by running [`gcloud auth list`](/sdk/gcloud/reference/auth/list).\n\n\nExecute the following command:\n\n```\n$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/features/FEATURE_NAME\" | Select-Object -Expand Content\n```\n\nYou should receive a JSON response similar to the following:\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\": \"2023-09-25T18:52:42.092928Z\",\n \"updateTime\": \"2023-09-25T18:52:42.092928Z\"\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](/vertex-ai/docs/featurestore/latest/create-feature).\n\n- Learn how to [update a feature](/vertex-ai/docs/featurestore/latest/update-feature).\n\n- Learn how to [delete a feature group along with its features](/vertex-ai/docs/featurestore/latest/delete-featuregroup)."]]