get_job_runs ¶

def get_job_runs(
    self,
    job_name: "capo_glue.types.name_string.NameString",
    *,
    config_overrides: Optional[GlueClientConfig] = None,
    next_token: Optional["capo_glue.types.generic_string.GenericString"] = None,
    max_results: Optional[
        "capo_glue.types.orchestration_page_size200.OrchestrationPageSize200"
    ] = None,
) -> "capo_glue.types.get_job_runs_response.GetJobRunsResponse":
    """<p>Retrieves metadata for all runs of a given job definition.</p> <p> <code>GetJobRuns</code> returns the job runs in chronological order, with the newest jobs returned first.</p>

    Args:
        job_name: <p>The name of the job definition for which to retrieve all job runs.</p>
        next_token: <p>A continuation token, if this is a continuation call.</p>
        max_results: <p>The maximum size of the response.</p>

    Raises:
        capo_glue.errors.entity_not_found_exception.EntityNotFoundException: <p>A specified entity does not exist</p>
        capo_glue.errors.internal_service_exception.InternalServiceException: <p>An internal service error occurred.</p>
        capo_glue.errors.invalid_input_exception.InvalidInputException: <p>The input provided was not valid.</p>
        capo_glue.errors.operation_timeout_exception.OperationTimeoutException: <p>The operation timed out.</p>
        capo_glue.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_glue.types.get_job_runs_request.GetJobRunsRequest]",
    ) -> OperationResponse[
        "capo_glue.types.get_job_runs_response.GetJobRunsResponse"
    ]:
        import capo_glue._operations.aws_glue.get_job_runs

        output, http_response = (
            capo_glue._operations.aws_glue.get_job_runs.get_job_runs(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetJobRuns")
    )
    input_: capo_glue.types.get_job_runs_request.GetJobRunsRequest = {
        "job_name": job_name
    }
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

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