pankajkoti commented on code in PR #36416:
URL: https://github.com/apache/airflow/pull/36416#discussion_r1436423521
##########
airflow/providers/amazon/aws/operators/redshift_cluster.py:
##########
@@ -535,19 +535,29 @@ def execute(self, context: Context):
time.sleep(self._attempt_interval)
else:
raise error
+
if self.deferrable:
- self.defer(
- trigger=RedshiftResumeClusterTrigger(
- cluster_identifier=self.cluster_identifier,
- waiter_delay=self.poll_interval,
- waiter_max_attempts=self.max_attempts,
- aws_conn_id=self.aws_conn_id,
- ),
- method_name="execute_complete",
- # timeout is set to ensure that if a trigger dies, the timeout
does not restart
- # 60 seconds is added to allow the trigger to exit gracefully
(i.e. yield TriggerEvent)
- timeout=timedelta(seconds=self.max_attempts *
self.poll_interval + 60),
- )
+ cluster_state =
redshift_hook.cluster_status(cluster_identifier=self.cluster_identifier)
+ if cluster_state == "available":
+ self.log.info("Resumed cluster successfully")
+ elif cluster_state == "deleting":
+ raise AirflowException(
+ "Unable to resume cluster since cluster is currently in
status: %s", cluster_state
+ )
+ else:
Review Comment:
Since there are so many cluster states possible as per
https://docs.aws.amazon.com/redshift/latest/mgmt/working-with-clusters.html#rs-mgmt-cluster-status,
I think we could explicitly have an elif check here (probably on `paused`) to
check the cluster is in resumable state and have a broader else clause to raise
an exception instead
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