Deletes a dataset from DataBrew.
Parameters:
-
name
(DatasetName)
–
The name of the dataset to be deleted.
Raises:
Source code in docs_src/capo_databrew/_services/async_data_brew.py
| async def delete_dataset(
self,
name: "capo_databrew.types.dataset_name.DatasetName",
*,
config_overrides: Optional[AsyncDataBrewClientConfig] = None,
) -> "capo_databrew.types.delete_dataset_response.DeleteDatasetResponse":
"""<p>Deletes a dataset from DataBrew.</p>
Args:
name: <p>The name of the dataset to be deleted.</p>
Raises:
capo_databrew.errors.conflict_exception.ConflictException: <p>Updating or deleting a resource can cause an inconsistent state.</p>
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.
"""
async def _handler(
req: "AsyncOperationRequest[capo_databrew.types.delete_dataset_request.DeleteDatasetRequest]",
) -> AsyncOperationResponse[
"capo_databrew.types.delete_dataset_response.DeleteDatasetResponse"
]:
import capo_databrew._operations.aws_glue_data_brew.delete_dataset
(
output,
http_response,
) = await capo_databrew._operations.aws_glue_data_brew.delete_dataset.async_delete_dataset(
req.options, req.input
)
return AsyncOperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DeleteDataset")
)
input_: capo_databrew.types.delete_dataset_request.DeleteDatasetRequest = {
"name": name
}
response = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output
|