resume_workflow_run

resume_workflow_run(**kwargs)

Restarts selected nodes of a previous partially completed workflow run and resumes the workflow run. The selected nodes and all nodes that are downstream from the selected nodes are run.

See also: AWS API Documentation

Request Syntax

response = client.resume_workflow_run(
    Name='string',
    RunId='string',
    NodeIds=[
        'string',
    ]
)

Parameters

• Name (string) --

  [REQUIRED]

  The name of the workflow to resume.

• RunId (string) --

  [REQUIRED]

  The ID of the workflow run to resume.

• NodeIds (list) --

  [REQUIRED]

  A list of the node IDs for the nodes you want to restart. The nodes that are to be restarted must have a run attempt in the original run.

  • (string) --

Return type

dict

Returns

Response Syntax

{
    'RunId': 'string',
    'NodeIds': [
        'string',
    ]
}

Response Structure

• (dict) --

  • RunId (string) --

    The new ID assigned to the resumed workflow run. Each resume of a workflow run will have a new run ID.

  • NodeIds (list) --

    A list of the node IDs for the nodes that were actually restarted.

    • (string) --

Exceptions

• Glue.Client.exceptions.InvalidInputException
• Glue.Client.exceptions.EntityNotFoundException
• Glue.Client.exceptions.InternalServiceException
• Glue.Client.exceptions.OperationTimeoutException
• Glue.Client.exceptions.ConcurrentRunsExceededException
• Glue.Client.exceptions.IllegalWorkflowStateException