[jira] [Resolved] (SPARK-24755) Executor loss can cause task to not be resubmitted

["Thomas Graves (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-24755?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Thomas Graves resolved SPARK-24755.
-----------------------------------
       Resolution: Fixed
    Fix Version/s: 2.3.3
                   2.4.0

> Executor loss can cause task to not be resubmitted
> --------------------------------------------------
>
>                 Key: SPARK-24755
>                 URL: https://issues.apache.org/jira/browse/SPARK-24755
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.3.0
>            Reporter: Mridul Muralidharan
>            Priority: Major
>             Fix For: 2.4.0, 2.3.3
>
>
> As part of SPARK-22074, when an executor is lost, TSM.executorLost currently checks for "if (successful(index) && !killedByOtherAttempt(index))" to decide if task needs to be resubmitted for partition.
> Consider following:
> For partition P1, tasks T1 and T2 are running on exec-1 and exec-2 respectively (one of them being speculative task)
> T1 finishes successfully first.
> This results in setting "killedByOtherAttempt(P1) = true" due to running T2.
> We also end up killing task T2.
> Now, exec-1 if/when goes MIA.
> executorLost will no longer schedule task for P1 - since killedByOtherAttempt(P1) == true; even though P1 was hosted on T1 and there is no other copy of P1 around (T2 was killed when T1 succeeded).
> I noticed this bug as part of reviewing PR# 21653 for SPARK-13343
> Essentially, SPARK-22074 causes a regression (which I dont usually observe due to shuffle service, sigh) - and as such the fix is broken IMO.
> I dont have a PR handy for this, so if anyone wants to pick it up, please do feel free !
> +CC [~XuanYuan] who fixed SPARK-22074 initially.



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