def resume_batch_load_task(
self,
task_id: "capo_timestream_write.types.batch_load_task_id.BatchLoadTaskId",
*,
config_overrides: Optional[TimestreamWriteClientConfig] = None,
) -> "capo_timestream_write.types.resume_batch_load_task_response.ResumeBatchLoadTaskResponse":
"""<p> </p>
Args:
task_id: <p>The ID of the batch load task to resume.</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.resource_not_found_exception.ResourceNotFoundException: <p>The operation tried to access a nonexistent resource. The resource might not be specified correctly, or its status might not be ACTIVE.</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.resume_batch_load_task_request.ResumeBatchLoadTaskRequest]",
) -> OperationResponse[
"capo_timestream_write.types.resume_batch_load_task_response.ResumeBatchLoadTaskResponse"
]:
import capo_timestream_write._operations.timestream_20181101.resume_batch_load_task
output, http_response = (
capo_timestream_write._operations.timestream_20181101.resume_batch_load_task.resume_batch_load_task(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("ResumeBatchLoadTask")
)
input_: capo_timestream_write.types.resume_batch_load_task_request.ResumeBatchLoadTaskRequest = {
"task_id": task_id
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output