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Snoot.io commented on SPARK-44718: ---------------------------------- User 'majdyz' has created a pull request for this issue: 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 > > 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 -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org