GitHub user aray opened a pull request:
https://github.com/apache/spark/pull/9815
[SPARK-11275] [SQL] Incorrect results when using rollup/cube
Fixes bug with grouping sets (including cube/rollup) where aggregates that
included grouping expressions would return the wrong (null) result.
Also simplifies the analyzer rule a bit and leaves column pruning to the
optimizer.
Added multiple unit tests to DataFrameAggregateSuite and verified it passes
hive compatibility suite:
```
build/sbt -Phive -Dspark.hive.whitelist='groupby.*_grouping.*' 'test-only
org.apache.spark.sql.hive.execution.HiveCompatibilitySuite'
```
This is an alternative to pr https://github.com/apache/spark/pull/9419 but
I think its better as it simplifies the analyzer rule instead of adding another
special case to it.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/aray/spark groupingset-agg-fix
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/9815.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 #9815
----
commit 12914fa00cbe195e8985a4881a40229efdd1c84f
Author: Andrew Ray <[email protected]>
Date: 2015-11-18T19:10:22Z
Fixes bug with grouping sets (including cube/rollup) where aggregates that
included grouping expressions would return the wrong (null) result.
Also simplifies the analyzer rule a bit and leaves column pruning to the
optimizer.
----
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