Deletes the specified DataBrew job.
Parameters:
-
name
(JobName)
–
The name of the job to be deleted.
Raises:
Source code in docs_src/capo_databrew/_services/data_brew.py
| def delete_job(
self,
name: "capo_databrew.types.job_name.JobName",
*,
config_overrides: Optional[DataBrewClientConfig] = None,
) -> "capo_databrew.types.delete_job_response.DeleteJobResponse":
"""<p>Deletes the specified DataBrew job.</p>
Args:
name: <p>The name of the job 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.
"""
def _handler(
req: "OperationRequest[capo_databrew.types.delete_job_request.DeleteJobRequest]",
) -> OperationResponse[
"capo_databrew.types.delete_job_response.DeleteJobResponse"
]:
import capo_databrew._operations.aws_glue_data_brew.delete_job
output, http_response = (
capo_databrew._operations.aws_glue_data_brew.delete_job.delete_job(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DeleteJob")
)
input_: capo_databrew.types.delete_job_request.DeleteJobRequest = {"name": name}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|