You are viewing a plain text version of this content. The canonical link for it is here.
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.
-------------------------------
    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



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org