Nothing specific that I can see.

I saw that the online that the docker image pins Celery to 4.0.2.  
https://github.com/puckel/docker-airflow.


With the upgrade to Airflow 1.9 we upgraded all packages including Celery.  It 
was 4.1.  I have downgraded to Celery 4.0.2 and things appear to be more stable.


With Celery 4.0.2 in place I have run 30 copies of the failing DAGs 30 times 
each all in parallel and there were 2 failures total.  So I wouldn't say the 
issue is fixed completely, but certainly less bad then with Celery 4.1.  Down 
from a 33% failure rate to a 0.22% failure rate.




- John K

________________________________
From: Maxime Beauchemin <maximebeauche...@gmail.com>
Sent: Wednesday, March 7, 2018 1:20:05 AM
To: dev@airflow.incubator.apache.org
Subject: Re: Airflow looses track of Dag Tasks

Notice: This message originated outside of SRC.

Anything else specific? I heard SubDags can have issues under certain
conditions, is this happening inside SubDags? Anybody else in the community
has experienced anything like this on 1.9?

On Mon, Mar 5, 2018 at 9:13 AM, Kamenik, John <jkame...@fourv.com> wrote:

> Airflow scheduler, flower, and webserver are within a statefulset.
> Workers are in another statefulset.  Dags are shared between scheduler and
> workers via NFS; CeleryExecuter.
>
>
> The issue happens quite often.  There are hundreds of DAGs that run every
> day.  Every DAG has failed at least once; most fail at least once every 3
> days.  On average about 1/3 to 1/2 of all dag runs fail in a given day.  No
> pattern of failure that we can see; other then it looks like Celery looses
> track of the task or the Task details in the database get corrupt.
>
>
> There is no obvious error in the output for any of the services: postgres,
> redis, scheduler, flower, or workers.  If we do find the worker logs
> (sometimes we cannot) then it usually indicates that the script called runs
> to completion and is a success.
>
>
> Not sure where the issue might be.
>
>
>
>
> - John K
>
> ________________________________
> From: Maxime Beauchemin <maximebeauche...@gmail.com>
> Sent: Monday, March 5, 2018 11:57:16 AM
> To: dev@airflow.incubator.apache.org
> Subject: Re: Airflow looses track of Dag Tasks
>
> Notice: This message originated outside of SRC.
>
> Are you using the Kubernetes executor or running Airflow worker(s) inside
> persistent pod?
>
> How often does that happen? Does it randomly occur on any task, any pattern
> there?
>
> Max
>
> On Fri, Mar 2, 2018 at 7:09 AM, Kamenik, John <jkame...@fourv.com> wrote:
>
> > I have an airflow 1.9 cluster setup on kubernetes and I have an issue
> > where a random DAG Task shows as fail because it appears that Airflow has
> > lost track of it.  The cluster consists of a database, redis store,
> > scheduler, and 14 workers.
> >
> >
> > What happens is the task starts as normal, runs, and exits, but instead
> of
> > status being written the Operator, State Date, Job ID, and Hostname are
> > erased.   Shortly there after an endtime is added and the state is set to
> > failed.
> >
> >
> > Given the hostname is erased I to brute force find the logs of the worker
> > that executed the task.  If I can find the Task logs it indicates the
> > command (BashOperator) ran to completion and exited cleanly.  I don't see
> > any errors in the airflow scheduler or any workers that would indicate
> any
> > issues.  I am not sure what else to debug.
> >
> >
> >
> >
> > - John K
> >
>

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