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Updates the parameters of a single Featurestore.
This method waits—the workflow execution is paused—until the operation is
complete, fails, or times out. The default timeout value is 1800 seconds (30
minutes) and can be changed to a maximum value of 31536000 seconds (one year)
for long-running operations using the connector_params field. See the
Connectors reference.
The connector uses polling to monitor the long-running operation, which might
generate additional billable steps. For more information about retries and
long-running operations, refer to Understand connectors.
The polling policy for the long-running operation can be configured. To set the
connector-specific parameters (connector_params), refer to
Invoke a connector call.
Arguments
Parameters
name
string
Required. Output only. Name of the Featurestore. Format: projects/{project}/locations/{location}/featurestores/{featurestore}
Field mask is used to specify the fields to be overwritten in the Featurestore resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then only the non-empty fields present in the request will be overwritten. Set the update_mask to * to override all fields. Updatable fields: * labels * online_serving_config.fixed_node_count * online_serving_config.scaling * online_storage_ttl_days
region
string
Required. Region of the HTTP endpoint. For example, if region is set to us-central1, the endpoint https://us-central1-integrations.googleapis.com will be used. See service endpoints.
[[["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 2025-08-25 UTC."],[],[],null,["# Method: googleapis.aiplatform.v1.projects.locations.featurestores.patch\n\n| **Preview**\n|\n|\n| This feature is subject to the \"Pre-GA Offerings Terms\" in the General Service Terms section\n| of the [Service Specific Terms](/terms/service-terms#1).\n|\n| Pre-GA features are available \"as is\" and might have limited support.\n|\n| For more information, see the\n| [launch stage descriptions](/products#product-launch-stages).\n\nUpdates the parameters of a single Featurestore.\n\nThis method waits---the workflow execution is paused---until the operation is\ncomplete, fails, or times out. The default timeout value is `1800` seconds (30\nminutes) and can be changed to a maximum value of `31536000` seconds (one year)\nfor long-running operations using the `connector_params` field. See the\n[Connectors reference](/workflows/docs/reference/googleapis).\n\nThe connector uses polling to monitor the long-running operation, which might\ngenerate additional billable steps. For more information about retries and\nlong-running operations, refer to [Understand connectors](/workflows/docs/connectors).\n\nThe polling policy for the long-running operation can be configured. To set the\nconnector-specific parameters (`connector_params`), refer to\n[Invoke a connector call](/workflows/docs/reference/googleapis#invoke_a_connector_call).\n\nArguments\n---------\n\nRaised exceptions\n-----------------\n\nResponse\n--------\n\nIf successful, the response contains an instance of [`GoogleLongrunningOperation`](https://cloud.google.com/workflows/docs/reference/googleapis/aiplatform/v1/Overview#GoogleLongrunningOperation).\n\nSubworkflow snippet\n-------------------\n\nSome fields might be optional or required.\nTo identify required fields, refer to the [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores/patch). \n\n### YAML\n\n```yaml\n- patch:\n call: googleapis.aiplatform.v1.projects.locations.featurestores.patch\n args:\n name: ...\n updateMask: ...\n region: ...\n body:\n encryptionSpec:\n kmsKeyName: ...\n etag: ...\n labels: ...\n onlineServingConfig:\n fixedNodeCount: ...\n scaling:\n cpuUtilizationTarget: ...\n maxNodeCount: ...\n minNodeCount: ...\n onlineStorageTtlDays: ...\n result: patchResult\n```\n\n### JSON\n\n```json\n[\n {\n \"patch\": {\n \"call\": \"googleapis.aiplatform.v1.projects.locations.featurestores.patch\",\n \"args\": {\n \"name\": \"...\",\n \"updateMask\": \"...\",\n \"region\": \"...\",\n \"body\": {\n \"encryptionSpec\": {\n \"kmsKeyName\": \"...\"\n },\n \"etag\": \"...\",\n \"labels\": \"...\",\n \"onlineServingConfig\": {\n \"fixedNodeCount\": \"...\",\n \"scaling\": {\n \"cpuUtilizationTarget\": \"...\",\n \"maxNodeCount\": \"...\",\n \"minNodeCount\": \"...\"\n }\n },\n \"onlineStorageTtlDays\": \"...\"\n }\n },\n \"result\": \"patchResult\"\n }\n }\n]\n```"]]