Andrew Or 5287eec5a6 [SPARK-7718] [SQL] Speed up partitioning by avoiding closure cleaning ... According to yhuai we spent 6-7 seconds cleaning closures in a partitioning job that takes 12 seconds. Since we provide these closures in Spark we know for sure they are serializable, so we can bypass the cleaning. Author: Andrew Or <andrew@databricks.com> Closes #6256 from andrewor14/sql-partition-speed-up and squashes the following commits: a82b451 [Andrew Or] Fix style 10f7e3e [Andrew Or] Avoid getting call sites and cleaning closures 17e2943 [Andrew Or] Merge branch 'master' of github.com:apache/spark into sql-partition-speed-up 523f042 [Andrew Or] Skip unnecessary Utils.getCallSites too f7fe143 [Andrew Or] Avoid unnecessary closure cleaning		2015-05-21 14:33:11 -07:00
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java/org/apache/spark/sql	[SPARK-7588] Document all SQL/DataFrame public methods with @since tag	2015-05-12 18:37:02 -07:00
scala/org/apache/spark/sql	[SPARK-7718] [SQL] Speed up partitioning by avoiding closure cleaning	2015-05-21 14:33:11 -07:00