"Managed Service for Apache Spark" is the new name for the product formerly known as "Dataproc on Compute Engine" (cluster deployment) and "Google Cloud Serverless for Apache Spark" (serverless deployment).

Method: projects.locations.workflowTemplates.update

HTTP request
Path parameters
Request body
Response body
Authorization scopes
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Updates (replaces) workflow template. The updated template must contain version that matches the current server version.

HTTP request

PUT https://dataproc.googleapis.com/v1/{template.name=projects/*/locations/*/workflowTemplates/*}

The URL uses gRPC Transcoding syntax.

Path parameters

Parameters

template.name

string

Output only. The resource name of the workflow template, as described in https://cloud.google.com/apis/design/resource_names .

For projects.regions.workflowTemplates , the resource name of the template has the following format: projects/{projectId}/regions/{region}/workflowTemplates/{template_id}
For projects.locations.workflowTemplates , the resource name of the template has the following format: projects/{projectId}/locations/{location}/workflowTemplates/{template_id}

Request body

The request body contains an instance of WorkflowTemplate .

Response body

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

Authorization scopes

Requires the following OAuth scope:

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

For more information, see the Authentication Overview .

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