Could someone please shed some light on this DAG status? My airflow version is 1.7.0. This is the only version that works for me when it comes to scheduler. Any version above this, the scheduler gets stuck without a trace and wouldn't schedule anything.
Thanks, Nadeem On Mon, Aug 1, 2016 at 2:29 PM, Nadeem Ahmed Nazeer <naz...@neon-lab.com> wrote: > Hello, > > I am facing a situation with Airflow where it doesn't flag the DAG's as > success even though all of the tasks in that DAG are complete. > > I have a BranchPythonOperator which forks into running all downstream > tasks or just a single task (dummy operator as an endpoint) depending if > files exists to be processed or not for that cycle. > > I see that in the DAG's that go to the dummy operator, the status of the > DAG always shows running where its complete. I can't get to figure out what > is stopping the scheduler from marking this DAG success. Since it is in > running state, every time the scheduler checks the status of this DAG which > is unnecessary. > > Please advise. > > Thanks, > Nadeem > >
