Github user maropu commented on the pull request:
https://github.com/apache/spark/pull/10965#issuecomment-180226842
The size of in-memory columnar cache is much bigger than parquet data on
disk because Spark uses simpler compression algorithms than parquet does in
`CompressionSchemes` (See a discussion on spark-user mailing list -
https://www.mail-archive.com/[email protected]/msg45241.html).
Since spark-sql already has `parquet-column` dependency, we can use the
same efficient compression algorithms with Parquet to reduce GC pressure.
Thought?
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