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Posted to commits@airflow.apache.org by "Alessio Palma (JIRA)" <ji...@apache.org> on 2017/03/23 08:53:41 UTC

[jira] [Created] (AIRFLOW-1029) https://issues.apache.org/jira/browse/AIRFLOW

Alessio Palma created AIRFLOW-1029:
--------------------------------------

             Summary: https://issues.apache.org/jira/browse/AIRFLOW
                 Key: AIRFLOW-1029
                 URL: https://issues.apache.org/jira/browse/AIRFLOW-1029
             Project: Apache Airflow
          Issue Type: Bug
          Components: scheduler
    Affects Versions: 1.8.0rc5
            Reporter: Alessio Palma
         Attachments: image (1).png, PannelloAIRFLOW 2.png

I'm using:

AIRFLOW 1.8.0RC5
ERLANG 19.2 
RABBIT 3.6.7
PYTHON 2.7

When I start a DAG from the panel ( see picture ), Scheduler stop working.
After some investigation the problem raises here: 

 83     def sync(self):
 84 
 85         self.logger.debug(
 86             "Inquiring about {} celery task(s)".format(len(self.tasks)))
 87
 88         for key, async in list(self.tasks.items()):
 90             state = async.state <---- HERE 

Python stack trace says that the connection is closed; capturing some TCP traffic I can see that the connection to RABBITMQ is closed ( TCP FIN )  before to send a STOMP, so RABBITMQ replies with  TCP RST. ( see picture 2: 172.1.0.2 -> rabbitmq node, 172.1.0.1 -> airflow node   ) 

This exception stops the scheduler.
If you are using airflow-scheduler-failover-controller the scheduler is restarted, but this is just a work around and does not fixes the problem at the root. 

Is safe to trap the exception ? 



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