Zamil Majdy created SPARK-44718:
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Summary: 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
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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