:doc:`SageMaker <../../sagemaker>` / Client / retry_pipeline_execution

************************
retry_pipeline_execution
************************



.. py:method:: SageMaker.Client.retry_pipeline_execution(**kwargs)

  

  Retry the execution of the pipeline.

  

  See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/RetryPipelineExecution>`_  


  **Request Syntax**
  ::

    response = client.retry_pipeline_execution(
        PipelineExecutionArn='string',
        ClientRequestToken='string',
        ParallelismConfiguration={
            'MaxParallelExecutionSteps': 123
        }
    )
    
  :type PipelineExecutionArn: string
  :param PipelineExecutionArn: **[REQUIRED]** 

    The Amazon Resource Name (ARN) of the pipeline execution.

    

  
  :type ClientRequestToken: string
  :param ClientRequestToken: **[REQUIRED]** 

    A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than once.

    This field is autopopulated if not provided.

  
  :type ParallelismConfiguration: dict
  :param ParallelismConfiguration: 

    This configuration, if specified, overrides the parallelism configuration of the parent pipeline.

    

  
    - **MaxParallelExecutionSteps** *(integer) --* **[REQUIRED]** 

      The max number of steps that can be executed in parallel.

      

    
  
  
  :rtype: dict
  :returns: 
    
    **Response Syntax**

    
    ::

      {
          'PipelineExecutionArn': 'string'
      }
      
    **Response Structure**

    

    - *(dict) --* 
      

      - **PipelineExecutionArn** *(string) --* 

        The Amazon Resource Name (ARN) of the pipeline execution.

        
  
  **Exceptions**
  
  *   :py:class:`SageMaker.Client.exceptions.ConflictException`

  
  *   :py:class:`SageMaker.Client.exceptions.ResourceNotFound`

  
  *   :py:class:`SageMaker.Client.exceptions.ResourceLimitExceeded`

  