[jira] [Commented] (AIRFLOW-4346) Kubernetes Executor Fails for Large Wide DAGs

["Kamil Gałuszka (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/AIRFLOW-4346?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16844659#comment-16844659 ] 

Kamil Gałuszka commented on AIRFLOW-4346:
-----------------------------------------

[~dimberman] really would appreciate your input, did You had a chance to look on example DAGs provided by [~vcastane] ?

Thanks for great work on Airflow!

> Kubernetes Executor Fails for Large Wide DAGs
> ---------------------------------------------
>
>                 Key: AIRFLOW-4346
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-4346
>             Project: Apache Airflow
>          Issue Type: Bug
>          Components: DAG, executor
>    Affects Versions: 1.10.2, 1.10.3
>            Reporter: Vincent Castaneda
>            Priority: Blocker
>              Labels: kubernetes
>         Attachments: configmap-airflow-share.yaml, sched_logs.txt, wide_dag_bash_test.py, wide_dag_test_100_300.py, wide_dag_test_300_300.py
>
>
> When running large DAGs–those with parallelism of over 100 task instances to be running concurrently--several tasks fail on the executor and are reported to the database, but the scheduler is never aware of them failing.
> Attached are:
>  - A test DAG that we can use to replicate the issue.
>  - The configmap-airflow.yaml file
> I will be available to answer any other questions that are raised about our configuration. We are running this on GKE and giving the scheduler and web pod a base 100m for execution.



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