Function: experimental.executions.map

Caution: The behavior of this routine might change, and it might not besupported in the future.Note: Instead of usingexperimental.executions.map to support parallel work,we recommend you execute workflow steps in parallel.If you are already usingexperimental.executions.map, you canmigrate 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.

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

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

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Last updated 2026-02-19 UTC.