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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/02/09 08:49:00 UTC
[jira] [Commented] (SPARK-21860) Improve memory reuse for heap
memory in `HeapMemoryAllocator`
[ https://issues.apache.org/jira/browse/SPARK-21860?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16358114#comment-16358114 ]
Apache Spark commented on SPARK-21860:
--------------------------------------
User 'mgaido91' has created a pull request for this issue:
https://github.com/apache/spark/pull/20558
> Improve memory reuse for heap memory in `HeapMemoryAllocator`
> -------------------------------------------------------------
>
> Key: SPARK-21860
> URL: https://issues.apache.org/jira/browse/SPARK-21860
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.3.0
> Reporter: liuxian
> Assignee: liuxian
> Priority: Minor
> Fix For: 2.4.0
>
>
> In `HeapMemoryAllocator`, when allocating memory from pool, and the key of pool is memory size.
> Actually some size of memory ,such as 1025bytes,1026bytes,......1032bytes, we can think they are the sameļ¼because we allocate memory in multiples of 8 bytes.
> In this case, we can improve memory reuse.
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