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list_batch_load_tasks

list_batch_load_tasks(
    *,
    config_overrides: Optional[TimestreamWriteClientConfig] = None,
    next_token: Optional[String] = None,
    max_results: Optional[PageLimit] = None,
    task_status: Optional[BatchLoadStatus] = None,
) -> ListBatchLoadTasksResponse

Provides a list of batch load tasks, along with the name, status, when the task is resumable until, and other details. See code sample for details.

Parameters:

  • next_token (Optional[String], default: None ) –

    A token to specify where to start paginating. This is the NextToken from a previously truncated response.

  • max_results (Optional[PageLimit], default: None ) –

    The total number of items to return in the output. If the total number of items available is more than the value specified, a NextToken is provided in the output. To resume pagination, provide the NextToken value as argument of a subsequent API invocation.

  • task_status (Optional[BatchLoadStatus], default: None ) –

    Status of the batch load task.

Raises:

Source code in docs_src/capo_timestream_write/_services/timestream_write.py
def list_batch_load_tasks(
    self,
    *,
    config_overrides: Optional[TimestreamWriteClientConfig] = None,
    next_token: Optional["capo_timestream_write.types.string.String"] = None,
    max_results: Optional[
        "capo_timestream_write.types.page_limit.PageLimit"
    ] = None,
    task_status: Optional[
        "capo_timestream_write.types.batch_load_status.BatchLoadStatus"
    ] = None,
) -> "capo_timestream_write.types.list_batch_load_tasks_response.ListBatchLoadTasksResponse":
    """<p>Provides a list of batch load tasks, along with the name, status, when the task is resumable until, and other details. See <a href="https://docs.aws.amazon.com/timestream/latest/developerguide/code-samples.list-batch-load-tasks.html">code sample</a> for details.</p>

    Args:
        next_token: <p>A token to specify where to start paginating. This is the NextToken from a previously truncated response.</p>
        max_results: <p>The total number of items to return in the output. If the total number of items available is more than the value specified, a NextToken is provided in the output. To resume pagination, provide the NextToken value as argument of a subsequent API invocation.</p>
        task_status: <p>Status of the batch load task.</p>

    Raises:
        capo_timestream_write.errors.access_denied_exception.AccessDeniedException: <p>You are not authorized to perform this action.</p>
        capo_timestream_write.errors.internal_server_exception.InternalServerException: <p> Timestream was unable to fully process this request because of an internal server error.</p>
        capo_timestream_write.errors.invalid_endpoint_exception.InvalidEndpointException: <p>The requested endpoint was not valid.</p>
        capo_timestream_write.errors.throttling_exception.ThrottlingException: <p> Too many requests were made by a user and they exceeded the service quotas. The request was throttled.</p>
        capo_timestream_write.errors.validation_exception.ValidationException: <p> An invalid or malformed request.</p>
        capo_timestream_write.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_timestream_write.types.list_batch_load_tasks_request.ListBatchLoadTasksRequest]",
    ) -> OperationResponse[
        "capo_timestream_write.types.list_batch_load_tasks_response.ListBatchLoadTasksResponse"
    ]:
        import capo_timestream_write._operations.timestream_20181101.list_batch_load_tasks

        output, http_response = (
            capo_timestream_write._operations.timestream_20181101.list_batch_load_tasks.list_batch_load_tasks(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListBatchLoadTasks")
    )
    input_: capo_timestream_write.types.list_batch_load_tasks_request.ListBatchLoadTasksRequest = {}
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results
    if task_status is not None:
        input_["task_status"] = task_status

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