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https://issues.apache.org/jira/browse/SPARK-44718?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-44718.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 42394
[https://github.com/apache/spark/pull/42394]
> High On-heap memory usage is detected while doing parquet-file reading with
> Off-Heap memory mode enabled on spark
> -----------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-44718
> URL: https://issues.apache.org/jira/browse/SPARK-44718
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core, SQL
> Affects Versions: 3.4.1
> Reporter: Zamil Majdy
> Priority: Major
> Fix For: 4.0.0
>
>
> I see the high use of on-heap memory usage while doing the parquet file
> reading when the off-heap memory mode is enabled. This is caused by the
> memory-mode for the column vector for the vectorized reader is configured by
> different flag, and the default value is always set to On-Heap.
> Conf to reproduce the issue:
> {{spark.memory.offHeap.size 1000000}}
> {{spark.memory.offHeap.enabled true}}
> Enabling these configurations only will not change the memory mode used for
> parquet-reading by the vectorized reader to Off-Heap.
>
> Proposed PR: https://github.com/apache/spark/pull/42394
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