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https://issues.apache.org/jira/browse/SPARK-26634?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-26634:
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Assignee: (was: Apache Spark)
> OutputCommitCoordinator may allow task of FetchFailureStage commit again
> ------------------------------------------------------------------------
>
> Key: SPARK-26634
> URL: https://issues.apache.org/jira/browse/SPARK-26634
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.1.0, 2.4.0
> Reporter: liupengcheng
> Priority: Major
>
> In our production spark cluster, we encoutered a case that the task of retry
> stage due to FetchFailure is denied to commit. However, the task is the first
> attempt of this retry stage.
> After carefully investigating, it was found that the call of canCommit of
> OutputCommitCoordinator would allow the task of FetchFailure stage(with the
> same parition number as new task of retry stage) commit. which result in the
> TaskCommitDenied for all the task (same partition) of retry stage. Becuase of
> TaskCommitDenied is not countTowardsFailure, thus might cause Application
> hangs forever.
>
> {code:java}
> 2019-01-09,08:39:53,676 INFO org.apache.spark.scheduler.TaskSetManager:
> Starting task 138.0 in stage 5.1 (TID 31437, zjy-hadoop-prc-st159.bj,
> executor 456, partition 138, PROCESS_LOCAL, 5829 bytes)
> 2019-01-09,08:43:37,514 INFO org.apache.spark.scheduler.TaskSetManager:
> Finished task 138.0 in stage 5.0 (TID 30634) in 466958 ms on
> zjy-hadoop-prc-st1212.bj (executor 1632) (674/5000)
> 2019-01-09,08:45:57,372 WARN org.apache.spark.scheduler.TaskSetManager: Lost
> task 138.0 in stage 5.1 (TID 31437, zjy-hadoop-prc-st159.bj, executor 456):
> TaskCommitDenied (Driver denied task commit) for job: 5, partition: 138,
> attemptNumber: 1
> 166483 2019-01-09,08:45:57,373 INFO
> org.apache.spark.scheduler.OutputCommitCoordinator: Task was denied
> committing, stage: 5, partition: 138, attempt number: 0, attempt
> number(counting failed stage): 1
> {code}
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