[GitHub] [airflow] c-thiel commented on issue #19135: PythonKubernetesOperator and kubernetes taskflow decorator

[GitBox <gi...@apache.org>]

c-thiel commented on issue #19135:
URL: https://github.com/apache/airflow/issues/19135#issuecomment-1029155560


   @hterik I also think the Scheduler bit can be good inspiration.
   I just want to address your first point briefly: I really do think that there are many use-cases for this: Having an operator allows much more freedoms than using the KubernetesExecutor only - for example in specifying the exact dependencies you need for individual tasks. Additionaly, spawning pods for every little thing really might stress the cluster. In our deployment we are runnig ~20 thousand tasks each morning in an hour and then a few more over the day. We tried the KubernetesExecutor but having to schedule a new pod for every sensor and mundane task was a bit too much for our control plane. Thus we are using Celery with lots of KubernetesOperator with self implemented taskflow API.


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