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Simpan dan kategorikan konten berdasarkan preferensi Anda.
Menghapus tampilan fitur tidak akan membatalkan operasi penyaluran online yang sedang berlangsung. Anda
harus menghentikan semua operasi penyaluran online aktif yang saat ini aktif dari
tampilan fitur yang ingin dihapus. Jika tidak, operasi penyaluran online
akan gagal setelah Anda menghapus tampilan fitur.
Jika instance toko online Anda menggunakan penyaluran online Bigtable, rekaman fitur
yang Anda hapus dari tabel sumber BigQuery akan dipertahankan di
tampilan fitur yang sesuai hingga Anda menghapus tampilan fitur tersebut.
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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
Untuk menggunakan contoh REST API di halaman ini dalam lingkungan pengembangan lokal, Anda menggunakan
kredensial yang Anda berikan ke gcloud CLI.
Menginstal Google Cloud CLI.
Setelah penginstalan,
lakukan inisialisasi Google Cloud CLI dengan menjalankan perintah berikut:
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-02 UTC."],[],[],null,["# Delete a feature view\n\nDeleting a feature view doesn't cancel ongoing online serving operations. You\nneed to stop any active online serving operation that's currently active from\nthe feature view you want to delete. Otherwise, the online serving operation\nfails after you delete the feature view.\n\nIf your online store instance uses Bigtable online serving, the feature records\nthat you delete from the BigQuery source table are retained in the\ncorresponding feature views until you delete those feature views.\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 view instance\n------------------------------\n\nUse the following samples to delete a feature view from an online store in\nyour project. \n\n### Console\n\nUse the following instructions to delete a feature view 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. Click **Online store**.\n\n3. Click the name of the online store to view its details on the **Online store details** page.\n\n4. In the **Feature views** section, XZselect checkbox next to the feature view that you want to delete.\n\n5. Click **Delete** and then click **Confirm**.\n\n### REST\n\n\nTo delete a [`FeatureView`](/vertex-ai/docs/reference/rest/v1/projects.locations.featureOnlineStores.featureViews#resource:-featureView) instance, send a `DELETE` request by using the\n[featureViews.delete](/vertex-ai/docs/reference/rest/v1/projects.locations.featureOnlineStores.featureViews/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 online store is located, such as `us-central1`.\n- \u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e: Your project ID.\n- \u003cvar translate=\"no\"\u003eFEATUREONLINESTORE_NAME\u003c/var\u003e: The name of the online store containing the feature view.\n- \u003cvar translate=\"no\"\u003eFEATUREVIEW_NAME\u003c/var\u003e: The name of the feature view 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/featureOnlineStores/FEATUREONLINESTORE_NAME/featureViews/FEATUREVIEW_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 $(gcloud auth print-access-token)\" \\\n \"https://LOCATION_ID-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION_ID/featureOnlineStores/FEATUREONLINESTORE_NAME/featureViews/FEATUREVIEW_NAME\"\n```\n\n#### PowerShell\n\n| **Note:** The following command assumes that you have logged in to the `gcloud` CLI with your user account by running [`gcloud init`](/sdk/gcloud/reference/init) or [`gcloud auth login`](/sdk/gcloud/reference/auth/login) . You can check the currently active account by running [`gcloud auth list`](/sdk/gcloud/reference/auth/list).\n\n\nExecute the following command:\n\n```\n$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/featureOnlineStores/FEATUREONLINESTORE_NAME/featureViews/FEATUREVIEW_NAME\" | 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/featureOnlineStores/FEATUREONLINESTORE_NAME/operations/OPERATION_ID\",\n \"metadata\": {\n \"@type\": \"type.googleapis.com/google.cloud.aiplatform.v1.DeleteOperationMetadata\",\n \"genericMetadata\": {\n \"createTime\": \"2023-09-15T17:30:31.741064Z\",\n \"updateTime\": \"2023-09-15T17:30:31.741064Z\"\n }\n }\n}\n```\n\n\u003cbr /\u003e\n\nWhat's next\n-----------\n\n- Learn how to [update a feature view](/vertex-ai/docs/featurestore/latest/update-featureview)."]]
