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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/02/04 12:31:40 UTC
[jira] [Resolved] (SPARK-13183) Bytebuffers occupy a large amount
of heap memory
[ https://issues.apache.org/jira/browse/SPARK-13183?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-13183.
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Resolution: Not A Problem
I don't think that's a problem per se unless you can establish some kind of memory leak. Stuff being on the heap is normal, even lots of it
> Bytebuffers occupy a large amount of heap memory
> ------------------------------------------------
>
> Key: SPARK-13183
> URL: https://issues.apache.org/jira/browse/SPARK-13183
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.4.1
> Reporter: dylanzhou
>
> When I used sparkstreamimg and sparksql, i cache the table,found that old gen increases very fast and full GC is very frequent, running for a period of time will be out of memory, after analysis of heap memory, found that there are a large number of org.apache.spark.sql.columnar.ColumnBuilder[38] @ 0xd022a0b8, takes up 90% of the space, look at the source is HeapByteBuffer occupy, don't know why these objects are not released, had been waiting for GC to recycle;if i donot use cache table, there will be no this problem, but I need to repeatedly query this table do
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