batch_get_jobs ¶

def batch_get_jobs(
    self,
    job_names: "capo_glue.types.job_name_list.JobNameList",
    *,
    config_overrides: Optional[GlueClientConfig] = None,
) -> "capo_glue.types.batch_get_jobs_response.BatchGetJobsResponse":
    """<p>Returns a list of resource metadata for a given list of job names. After calling the <code>ListJobs</code> operation, you can call this operation to access the data to which you have been granted permissions. This operation supports all IAM permissions, including permission conditions that uses tags. </p>

    Args:
        job_names: <p>A list of job names, which might be the names returned from the <code>ListJobs</code> operation.</p>

    Raises:
        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.batch_get_jobs_request.BatchGetJobsRequest]",
    ) -> OperationResponse[
        "capo_glue.types.batch_get_jobs_response.BatchGetJobsResponse"
    ]:
        import capo_glue._operations.aws_glue.batch_get_jobs

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

    def _redact_output(
        output: "capo_glue.types.batch_get_jobs_response.BatchGetJobsResponse",
    ) -> dict[str, Any]:
        import capo_glue.types.batch_get_jobs_response

        return capo_glue.types.batch_get_jobs_response.redact_sensitive(output)

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("BatchGetJobs", redact_output=_redact_output),
    )
    input_: capo_glue.types.batch_get_jobs_request.BatchGetJobsRequest = {
        "job_names": job_names
    }

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