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https://issues.apache.org/jira/browse/AIRFLOW-4346?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Tong Sun reassigned AIRFLOW-4346:
---------------------------------
Assignee: Tong Sun
> 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, kubernetes
> Affects Versions: 1.10.2, 1.10.3
> Reporter: Vincent Castaneda
> Assignee: Tong Sun
> Priority: Blocker
> 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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