update_task_execution ¶

def update_task_execution(
    self,
    task_execution_arn: "capo_datasync.types.task_execution_arn.TaskExecutionArn",
    options: "capo_datasync.types.options.Options",
    *,
    config_overrides: Optional[DataSyncClientConfig] = None,
) -> (
    "capo_datasync.types.update_task_execution_response.UpdateTaskExecutionResponse"
):
    """<p>Updates the configuration of a running DataSync task execution.</p> <note> <p>Currently, the only <code>Option</code> that you can modify with <code>UpdateTaskExecution</code> is <code> <a href="https://docs.aws.amazon.com/datasync/latest/userguide/API_Options.html#DataSync-Type-Options-BytesPerSecond">BytesPerSecond</a> </code>, which throttles bandwidth for a running or queued task execution.</p> </note>

    Args:
        task_execution_arn: <p>Specifies the Amazon Resource Name (ARN) of the task execution that you're updating.</p>

    Raises:
        capo_datasync.errors.internal_exception.InternalException: <p>This exception is thrown when an error occurs in the DataSync service.</p>
        capo_datasync.errors.invalid_request_exception.InvalidRequestException: <p>This exception is thrown when the client submits a malformed request.</p>
        capo_datasync.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_datasync.types.update_task_execution_request.UpdateTaskExecutionRequest]",
    ) -> OperationResponse[
        "capo_datasync.types.update_task_execution_response.UpdateTaskExecutionResponse"
    ]:
        import capo_datasync._operations.fmrs_service.update_task_execution

        output, http_response = (
            capo_datasync._operations.fmrs_service.update_task_execution.update_task_execution(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateTaskExecution")
    )
    input_: capo_datasync.types.update_task_execution_request.UpdateTaskExecutionRequest = {
        "task_execution_arn": task_execution_arn,
        "options": options,
    }

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output