Try Gemini 1.5 Pro, our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window. Try Gemini 1.5 Pro, our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window.

Method: projects.locations.metadataStores.executions.patch

Updates a stored Execution.

HTTP request

PATCH https://{service-endpoint}/v1/{execution.name}

Where {service-endpoint} is one of the supported service endpoints.

Path parameters

Parameters

Parameters
`execution.name`	`string` Output only. The resource name of the Execution.

execution.name

string

Output only. The resource name of the Execution.

Query parameters

Parameters

Parameters
`updateMask`	`string (FieldMask format)` Optional. A FieldMask indicating which fields should be updated. This is a comma-separated list of fully qualified names of fields. Example: `"user.displayName,photo"`.
`allowMissing`	`boolean` If set to true, and the `Execution` is not found, a new `Execution` is created.

updateMask

string (FieldMask format)

Optional. A FieldMask indicating which fields should be updated.

This is a comma-separated list of fully qualified names of fields. Example: "user.displayName,photo".

allowMissing

boolean

If set to true, and the Execution is not found, a new Execution is created.

Request body

The request body contains an instance of Execution.

Response body

If successful, the response body contains an instance of Execution.

Authorization scopes

Requires the following OAuth scope:

https://www.googleapis.com/auth/cloud-platform

For more information, see the Authentication Overview.

IAM Permissions

Requires the following IAM permission on the name resource:

aiplatform.executions.update

For more information, see the IAM documentation.