[ https://issues.apache.org/jira/browse/SPARK-3824?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org