GitHub user andrewor14 opened a pull request:
https://github.com/apache/spark/pull/6256
[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.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/andrewor14/spark sql-partition-speed-up
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/6256.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #6256
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commit e92dff2b74d2f637370c34bb5c8f6eb5496c5cf1
Author: Andrew Or <[email protected]>
Date: 2015-05-19T06:02:32Z
Avoid unnecessary closure cleaning
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