list_job_runs ¶

list_job_runs(
    name: JobName,
    *,
    config_overrides: Optional[DataBrewClientConfig] = None,
    max_results: Optional[MaxResults100] = None,
    next_token: Optional[NextToken] = None,
) -> ListJobRunsResponse

Lists all of the previous runs of a particular DataBrew job.

Parameters:

name (JobName) –

The name of the job.
max_results (Optional[MaxResults100], default: None ) –

The maximum number of results to return in this request.
next_token (Optional[NextToken], default: None ) –

The token returned by a previous call to retrieve the next set of results.

Raises:

ResourceNotFoundException –

One or more resources can't be found.
ValidationException –

The input parameters for this request failed validation.
UnknownServiceError –

The service returned an error code this client does not model.

Source code in docs_src/capo_databrew/_services/data_brew.py

def list_job_runs(
    self,
    name: "capo_databrew.types.job_name.JobName",
    *,
    config_overrides: Optional[DataBrewClientConfig] = None,
    max_results: Optional[
        "capo_databrew.types.max_results100.MaxResults100"
    ] = None,
    next_token: Optional["capo_databrew.types.next_token.NextToken"] = None,
) -> "capo_databrew.types.list_job_runs_response.ListJobRunsResponse":
    """<p>Lists all of the previous runs of a particular DataBrew job.</p>

    Args:
        name: <p>The name of the job.</p>
        max_results: <p>The maximum number of results to return in this request. </p>
        next_token: <p>The token returned by a previous call to retrieve the next set of results.</p>

    Raises:
        capo_databrew.errors.resource_not_found_exception.ResourceNotFoundException: <p>One or more resources can't be found.</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.
    """

    def _handler(
        req: "OperationRequest[capo_databrew.types.list_job_runs_request.ListJobRunsRequest]",
    ) -> OperationResponse[
        "capo_databrew.types.list_job_runs_response.ListJobRunsResponse"
    ]:
        import capo_databrew._operations.aws_glue_data_brew.list_job_runs

        output, http_response = (
            capo_databrew._operations.aws_glue_data_brew.list_job_runs.list_job_runs(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListJobRuns")
    )
    input_: capo_databrew.types.list_job_runs_request.ListJobRunsRequest = {
        "name": name
    }
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token

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