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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-10381) Infinite loop when OutputCommitCoordination is enabled and OutputCommitter.commitTask throws exception
Date Thu, 17 Sep 2015 00:18:45 GMT

    [ https://issues.apache.org/jira/browse/SPARK-10381?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14791354#comment-14791354
] 

Apache Spark commented on SPARK-10381:
--------------------------------------

User 'JoshRosen' has created a pull request for this issue:
https://github.com/apache/spark/pull/8790

> 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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