[jira] [Resolved] (SPARK-10381) Infinite loop when OutputCommitCoordination is enabled and OutputCommitter.commitTask throws exception

["Josh Rosen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-10381?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Josh Rosen resolved SPARK-10381.
--------------------------------
       Resolution: Fixed
    Fix Version/s: 1.5.1
                   1.6.0

Issue resolved by pull request 8544
[https://github.com/apache/spark/pull/8544]

> Infinite loop when OutputCommitCoordination is enabled and OutputCommitter.commitTask throws exception
> ------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-10381
>                 URL: https://issues.apache.org/jira/browse/SPARK-10381
>             Project: Spark
>          Issue Type: Bug
>          Components: Scheduler
>    Affects Versions: 1.3.1, 1.4.1, 1.5.0
>            Reporter: Josh Rosen
>            Assignee: Josh Rosen
>            Priority: Critical
>             Fix For: 1.6.0, 1.5.1
>
>
> When speculative execution is enabled, consider a scenario where the authorized committer of a particular output partition fails during the OutputCommitter.commitTask() call. In this case, the OutputCommitCoordinator is supposed to release that committer's exclusive lock on committing once that task fails. However, due to a unit mismatch the lock will not be released, causing Spark to go into an infinite retry loop.
> This bug was masked by the fact that the OutputCommitCoordinator does not have enough end-to-end tests (the current tests use many mocks). Other factors contributing to this bug are the fact that we have many similarly-named identifiers that have different semantics but the same data types (e.g. attemptNumber and taskAttemptId, with inconsistent variable naming which makes them difficult to distinguish).



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