Function: experimental.executions.map

Caution: The behavior of this routine might change, and it might not be supported in the future.

Note: Instead of using experimental.executions.map to support parallel work, we recommend you execute workflow steps in parallel. If you are already using experimental.executions.map, you can migrate your workflow to use parallel steps.

Starts workflow executions and waits for all of them to finish.

Arguments

Arguments
workflow_id	string ID of the workflow.
arguments	List of optional execution parameters. A workflow execution is created for each element of the list.
timeout	float The request timeout, in seconds (default: 1800.0). If the request takes longer than the timeout, a TimeoutError is raised.
location	string If present, location of the workflow. The location of the caller is used by default.
project_id	string If present, project ID associated with the workflow. The project ID of the caller is used by default.

Returns

A list where each element is the result of a workflow execution starting and a corresponding argument.

Raised exceptions

Exceptions
ExecutionError	If any of the executions finish unsuccessfully.
TimeoutError	If waiting for the executions to finish takes longer than the specified timeout limit.