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https://issues.apache.org/jira/browse/SPARK-11617?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15003879#comment-15003879
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Jacek Lewandowski commented on SPARK-11617:
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This also happens in standalone mode, Netty based RPC - I've seen this in
Master and Worker logs.
> MEMORY LEAK: ByteBuf.release() was not called before it's garbage-collected
> ---------------------------------------------------------------------------
>
> Key: SPARK-11617
> URL: https://issues.apache.org/jira/browse/SPARK-11617
> Project: Spark
> Issue Type: Bug
> Components: Spark Core, YARN
> Affects Versions: 1.6.0
> Reporter: LingZhou
>
> The problem may be related to
> [SPARK-11235][NETWORK] Add ability to stream data using network lib.
> while running on yarn-client mode, there are error messages:
> 15/11/09 10:23:55 ERROR util.ResourceLeakDetector: LEAK: ByteBuf.release()
> was not called before it's garbage-collected. Enable advanced leak reporting
> to find out where the leak occurred. To enable advanced leak reporting,
> specify the JVM option '-Dio.netty.leakDetectionLevel=advanced' or call
> ResourceLeakDetector.setLevel() See
> http://netty.io/wiki/reference-counted-objects.html for more information.
> and then it will cause
> cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: Container killed by YARN
> for exceeding memory limits. 9.0 GB of 9 GB physical memory used. Consider
> boosting spark.yarn.executor.memoryOverhead.
> and WARN scheduler.TaskSetManager: Lost task 105.0 in stage 1.0 (TID 2616,
> gsr489): java.lang.IndexOutOfBoundsException: index: 130828, length: 16833
> (expected: range(0, 524288)).
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