GitHub user marmbrus opened a pull request:
https://github.com/apache/spark/pull/1004
[SPARK-1994][SQL] Weird data corruption bug when running Spark SQL on data
in HDFS
Basically there is a race condition (possibly a scala bug?) when these
values are recomputed on all of the slaves that results in an incorrect
projection being generated (possibly because the GUID uniqueness contract is
broken?).
In general we should probably enforce that all expression planing occurs on
the driver, as is now occurring here.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/marmbrus/spark fixAggBug
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/1004.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 #1004
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commit e0c116c6e9bb08d71e30eb39f560747b12d028bb
Author: Michael Armbrust <[email protected]>
Date: 2014-06-07T01:36:44Z
Compute aggregate expression during planning instead of lazily on workers.
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