Andrew Or ba04b52360 [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 (cherry picked from commit 5287eec5a6) Signed-off-by: Yin Huai <yhuai@databricks.com>		2015-05-21 14:33:24 -07:00
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src	[SPARK-7718] [SQL] Speed up partitioning by avoiding closure cleaning	2015-05-21 14:33:24 -07:00
pom.xml	Preparing development version 1.4.0-SNAPSHOT	2015-05-20 17:29:00 -07:00