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Posted to issues@spark.apache.org by "Wenchen Fan (Jira)" <ji...@apache.org> on 2021/03/22 08:18:00 UTC
[jira] [Resolved] (SPARK-34089) MemoryConsumer's memory mode should
respect MemoryManager's memory mode
[ https://issues.apache.org/jira/browse/SPARK-34089?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wenchen Fan resolved SPARK-34089.
---------------------------------
Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 31152
[https://github.com/apache/spark/pull/31152]
> MemoryConsumer's memory mode should respect MemoryManager's memory mode
> -----------------------------------------------------------------------
>
> Key: SPARK-34089
> URL: https://issues.apache.org/jira/browse/SPARK-34089
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.4.7, 3.0.0, 3.1.0
> Reporter: wuyi
> Assignee: wuyi
> Priority: Major
> Fix For: 3.2.0
>
>
> Currently, the memory mode always set to ON_HEAP for memory consumer when it's not explicitly set.
> However, we actually can know the specific memory mode by taskMemoryManager.getTungstenMemoryMode().
>
> [https://github.com/apache/spark/blob/3a299aa6480ac22501512cd0310d31a441d7dfdc/core/src/main/java/org/apache/spark/memory/MemoryConsumer.java#L43-L45]
>
>
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