Glue / Client / batch_stop_job_run
batch_stop_job_run#
- Glue.Client.batch_stop_job_run(**kwargs)#
Stops one or more job runs for a specified job definition.
See also: AWS API Documentation
Request Syntax
response = client.batch_stop_job_run( JobName='string', JobRunIds=[ 'string', ] )
- Parameters:
JobName (string) –
[REQUIRED]
The name of the job definition for which to stop job runs.
JobRunIds (list) –
[REQUIRED]
A list of the
JobRunIds
that should be stopped for that job definition.(string) –
- Return type:
dict
- Returns:
Response Syntax
{ 'SuccessfulSubmissions': [ { 'JobName': 'string', 'JobRunId': 'string' }, ], 'Errors': [ { 'JobName': 'string', 'JobRunId': 'string', 'ErrorDetail': { 'ErrorCode': 'string', 'ErrorMessage': 'string' } }, ] }
Response Structure
(dict) –
SuccessfulSubmissions (list) –
A list of the JobRuns that were successfully submitted for stopping.
(dict) –
Records a successful request to stop a specified
JobRun
.JobName (string) –
The name of the job definition used in the job run that was stopped.
JobRunId (string) –
The
JobRunId
of the job run that was stopped.
Errors (list) –
A list of the errors that were encountered in trying to stop
JobRuns
, including theJobRunId
for which each error was encountered and details about the error.(dict) –
Records an error that occurred when attempting to stop a specified job run.
JobName (string) –
The name of the job definition that is used in the job run in question.
JobRunId (string) –
The
JobRunId
of the job run in question.ErrorDetail (dict) –
Specifies details about the error that was encountered.
ErrorCode (string) –
The code associated with this error.
ErrorMessage (string) –
A message describing the error.
Exceptions