start_job_run async ¶

async def start_job_run(
    self,
    name: "capo_databrew.types.job_name.JobName",
    *,
    config_overrides: Optional[AsyncDataBrewClientConfig] = None,
) -> "capo_databrew.types.start_job_run_response.StartJobRunResponse":
    """<p>Runs a DataBrew job.</p>

    Args:
        name: <p>The name of the job to be run.</p>

    Raises:
        capo_databrew.errors.conflict_exception.ConflictException: <p>Updating or deleting a resource can cause an inconsistent state.</p>
        capo_databrew.errors.resource_not_found_exception.ResourceNotFoundException: <p>One or more resources can't be found.</p>
        capo_databrew.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>A service quota is exceeded.</p>
        capo_databrew.errors.validation_exception.ValidationException: <p>The input parameters for this request failed validation.</p>
        capo_databrew.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_databrew.types.start_job_run_request.StartJobRunRequest]",
    ) -> AsyncOperationResponse[
        "capo_databrew.types.start_job_run_response.StartJobRunResponse"
    ]:
        import capo_databrew._operations.aws_glue_data_brew.start_job_run

        (
            output,
            http_response,
        ) = await capo_databrew._operations.aws_glue_data_brew.start_job_run.async_start_job_run(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("StartJobRun")
    )
    input_: capo_databrew.types.start_job_run_request.StartJobRunRequest = {
        "name": name
    }

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output