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https://issues.apache.org/jira/browse/SPARK-3824?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-3824.
-------------------------------------
Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 2686
[https://github.com/apache/spark/pull/2686]
> Spark SQL should cache in MEMORY_AND_DISK by default
> ----------------------------------------------------
>
> Key: SPARK-3824
> URL: https://issues.apache.org/jira/browse/SPARK-3824
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Patrick Wendell
> Assignee: Cheng Lian
> Priority: Blocker
> Fix For: 1.2.0
>
>
> Spark SQL currently uses MEMORY_ONLY as the default format. Due to the use of
> column buffers however, there is a huge cost to having to recompute blocks,
> much more so than Spark core. Especially since now we are more conservative
> about caching blocks and sometimes won't cache blocks we think might exceed
> memory, it seems good to keep persisted blocks on disk by default.
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