ayushchauhan0811 commented on a change in pull request #13832:
URL: https://github.com/apache/airflow/pull/13832#discussion_r571154673
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File path: airflow/providers/amazon/aws/operators/batch.py
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@@ -177,29 +177,26 @@ def submit_job(self, context: Dict): # pylint:
disable=unused-argument
self.job_id = response["jobId"]
self.log.info("AWS Batch job (%s) started: %s", self.job_id,
response)
-
except Exception as e:
self.log.error("AWS Batch job (%s) failed submission", self.job_id)
raise AirflowException(e)
def monitor_job(self, context: Dict): # pylint: disable=unused-argument
"""
Monitor an AWS Batch job
+ monitor_job can raise an exception or an AirflowTaskTimeout can be
raised if execution_timeout
+ is given while creating the task. These exceptions should be handled
in taskinstance.py
+ instead of here like it was previously done
Review comment:
@dstandish It's part of the base operator, but some hooks/operators have
also used this exception. The issue I am trying to solve in the PR is the
timeout exception raised when the task is running for more than that the
defined interval which is handled by taskinstance
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