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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-24938) Understand usage of netty's onheap memory use, even with offheap pools
Date Wed, 15 Aug 2018 22:05:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-24938?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16581676#comment-16581676
] 

Apache Spark commented on SPARK-24938:
--------------------------------------

User 'NiharS' has created a pull request for this issue:
https://github.com/apache/spark/pull/22114

> Understand usage of netty's onheap memory use, even with offheap pools
> ----------------------------------------------------------------------
>
>                 Key: SPARK-24938
>                 URL: https://issues.apache.org/jira/browse/SPARK-24938
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 2.4.0
>            Reporter: Imran Rashid
>            Priority: Major
>              Labels: memory-analysis
>
> We've observed that netty uses large amount of onheap memory in its pools, in addition
to the expected offheap memory when I added some instrumentation (using SPARK-24918 and https://github.com/squito/spark-memory).
We should figure out why its using that memory, and whether its really necessary.
> It might be just this one line:
> https://github.com/apache/spark/blob/master/common/network-common/src/main/java/org/apache/spark/network/protocol/MessageEncoder.java#L82
> which means that even with a small burst of messages, each arena will grow by 16MB which
could lead to a 128 MB spike of an almost entirely unused pool.  Switching to requesting a
buffer from the default pool would probably fix this.



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