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https://issues.apache.org/jira/browse/BEAM-2831?focusedWorklogId=83811&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-83811
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ASF GitHub Bot logged work on BEAM-2831:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 23/Mar/18 21:05
            Start Date: 23/Mar/18 21:05
    Worklog Time Spent: 10m 
      Work Description: aljoscha commented on issue #4892: [BEAM-2831] Do not 
wrap IOException in SerializableCoder
URL: https://github.com/apache/beam/pull/4892#issuecomment-375798111
 
 
   For me, the change looks good.
   
   @kennknowles Is currently not available, @lukecwik do you have an idea 
whether this could cause unforeseen problems.

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Issue Time Tracking
-------------------

    Worklog Id:     (was: 83811)
    Time Spent: 50m  (was: 40m)

> Pipeline crashes due to Beam encoder breaking Flink memory management
> ---------------------------------------------------------------------
>
>                 Key: BEAM-2831
>                 URL: https://issues.apache.org/jira/browse/BEAM-2831
>             Project: Beam
>          Issue Type: Bug
>          Components: runner-flink
>    Affects Versions: 2.0.0, 2.1.0
>         Environment: Flink 1.2.1 and 1.3.0, Java HotSpot and OpenJDK 8, macOS 
> 10.12.6 and unknown Linux
>            Reporter: Reinier Kip
>            Assignee: Aljoscha Krettek
>            Priority: Major
>          Time Spent: 50m
>  Remaining Estimate: 0h
>
> I’ve been running a Beam pipeline on Flink. Depending on the dataset size and 
> the heap memory configuration of the jobmanager and taskmanager, I may run 
> into an EOFException, which causes the job to fail.
> As [discussed on Flink's 
> mailinglist|http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/EOFException-related-to-memory-segments-during-run-of-Beam-pipeline-on-Flink-td15255.html]
>  (stacktrace enclosed), Flink catches these EOFExceptions and activates disk 
> spillover. Because Beam wraps these exceptions, this mechanism fails, the 
> exception travels up the stack, and the job aborts.
> Hopefully this is enough information and this is something that can be 
> adjusted for in Beam. I'd be glad to provide more information where needed.



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