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https://issues.apache.org/jira/browse/SPARK-34089?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17263316#comment-17263316
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Apache Spark commented on SPARK-34089:
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User 'Ngone51' has created a pull request for this issue:
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
> Priority: Major
>
> 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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