GET https://LOCATION_ID-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION_ID/featureOnlineStores/FEATUREONLINESTORE_NAME/featureViews
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-08-18。"],[],[],null,["# List feature views\n\nYou can retrieve a list of all the feature view instances created within an online store\nin your Google Cloud project. For each feature view, you can also view the feature\ndata source, which can be either of the following:\n\n- One or more feature groups and their constituent features. Each feature group\n is associated with a feature data source, such as a BigQuery table\n or view. Each feature designates a column in the BigQuery\n data source.\n\n- A BigQuery table or view directly associated with the feature view.\n\nIf a feature view is configured to use a dedicated service account, then the\ndetails for that feature view also include the associated service account email\naddress. For more information about creating feature views with dedicated\nservice account configurations, see\n[Configure the service account for a feature view](/vertex-ai/docs/featurestore/latest/create-featureview#serviceaccount).\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\nList feature views in an online store\n-------------------------------------\n\nUse the following samples to retrieve a list of feature views created for an\nonline store in your project for a specific location. \n\n### Console\n\nUse the following instructions to view the list of feature views in an online store 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, you can view the list of all the online stores for the selected location.\n\n### REST\n\n\nTo retrieve a list of all the [`FeatureView`](/vertex-ai/docs/reference/rest/v1/projects.locations.featureOnlineStores.featureViews#resource:-featureView) instances created within a specific online\nstore in your project, send a `GET` request by using the\n[featureViews.list](/vertex-ai/docs/reference/rest/v1/projects.locations.featureOnlineStores.featureViews/list)\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 for which you want to view the list of feature views.\n\n\nHTTP method and URL:\n\n```\nGET https://LOCATION_ID-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION_ID/featureOnlineStores/FEATUREONLINESTORE_NAME/featureViews\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 GET \\\n -H \"Authorization: Bearer $(gcloud auth print-access-token)\" \\\n \"https://LOCATION_ID-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION_ID/featureOnlineStores/FEATUREONLINESTORE_NAME/featureViews\"\n```\n\n#### PowerShell\n\n| **Note:** The following command assumes that you have logged in to the `gcloud` CLI with your user account by running [`gcloud init`](/sdk/gcloud/reference/init) or [`gcloud auth login`](/sdk/gcloud/reference/auth/login) . You can check the currently active account by running [`gcloud auth list`](/sdk/gcloud/reference/auth/list).\n\n\nExecute the following command:\n\n```\n$cred = gcloud auth print-access-token\n$headers = @{ \"Authorization\" = \"Bearer $cred\" }\n\nInvoke-WebRequest `\n -Method GET `\n -Headers $headers `\n -Uri \"https://LOCATION_ID-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION_ID/featureOnlineStores/FEATUREONLINESTORE_NAME/featureViews\" | Select-Object -Expand Content\n```\nYou should receive a JSON response similar to the following. If any of the feature views listed in the response has a dedicated service account configuration, then the service account email address is also listed in its details. In this example, \u003cvar translate=\"no\"\u003eSERVICE_ACCOUNT_EMAIL\u003c/var\u003e is the service account email address associated with the feature view \u003cvar translate=\"no\"\u003eFEATUREVIEW_NAME_1\u003c/var\u003e.\n\n```\n{\n \"featureViews\": [\n {\n \"name\": \"projects/PROJECT_NUMBER/locations/LOCATION_ID/featureOnlineStores/FEATUREONLINESTORE_NAME/featureViews/FEATUREVIEW_NAME_1\",\n \"createTime\": \"2023-09-06T23:46:49.936284Z\",\n \"updateTime\": \"2023-09-06T23:46:49.936284Z\",\n \"etag\": \"sample_etag\",\n \"featureRegistrySource\": {\n \"featureGroups\": [\n {\n \"featureGroupId\": \"FEATUREGROUP_ID\",\n \"featureIds\": [\n \"FEATURE_ID_1\",\n \"FEATURE_ID_2\",\n ]\n }\n ]\n }\n \"serviceAccountEmail\": \"SERVICE_ACCOUNT_EMAIL\"\n },\n {\n \"name\": \"projects/PROJECT_NUMBER/locations/LOCATION_ID/featureOnlineStores/FEATUREONLINESTORE_NAME/featureViews/FEATUREVIEW_NAME_2\",\n \"createTime\": \"2024-02-05T23:48:49.936284Z\",\n \"updateTime\": \"2024-02-05T23:48:49.936284Z\",\n \"etag\": \"sample_etag\",\n \"featureRegistrySource\": {\n \"featureGroups\": [\n {\n \"featureGroupId\": \"FEATUREGROUP_ID\",\n \"featureIds\": [\n \"FEATURE_ID_3\",\n \"FEATURE_ID_4\",\n ]\n }\n ]\n }\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).\n\n- Learn how to [delete a feature view](/vertex-ai/docs/featurestore/latest/delete-featureview).\n\n- [Add more feature views](/vertex-ai/docs/featurestore/latest/create-featureview)."]]
