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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/05/01 16:50:02 UTC

[jira] [Assigned] (SPARK-30821) Executor pods with multiple containers will not be rescheduled unless all containers fail

     [ https://issues.apache.org/jira/browse/SPARK-30821?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-30821:
------------------------------------

    Assignee: Apache Spark

> Executor pods with multiple containers will not be rescheduled unless all containers fail
> -----------------------------------------------------------------------------------------
>
>                 Key: SPARK-30821
>                 URL: https://issues.apache.org/jira/browse/SPARK-30821
>             Project: Spark
>          Issue Type: Improvement
>          Components: Kubernetes
>    Affects Versions: 3.1.0
>            Reporter: Kevin Hogeland
>            Assignee: Apache Spark
>            Priority: Major
>
> Since the restart policy of launched pods is Never, additional handling is required for pods that may have sidecar containers. The executor should be considered failed if any containers have terminated and have a non-zero exit code, but Spark currently only checks the pod phase. The pod phase will remain "running" as long as _any_ pods are still running. Kubernetes sidecar support in 1.18/1.19 does not address this situation, as sidecar containers are excluded from pod phase calculation.



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