GitHub user ahshahid opened a pull request:
https://github.com/apache/spark/pull/17022
Aqp 271
Looks like in Spark 2.0 the optimization of repeat aggregates being
represented by a single aggregate was broken because of passing of resultId:
ExprID in the constructor of AggregateExpression. Thus if the query is of type
select avg(x), y from tab group by y having avg(x) > 0
ideally there should be only 1 aggregate evaluated . But since the resultID
passed is different in the analyze phase, the distinct on aggregateExpressions,
does not result in 1 aggregate .
The change is to implement the equality/hashCode method of aggregate
expression instead of relying on scala case class generated methods. and
ensuring the dependency on the aggregate which gets removed, is correctly
rewritten. The test for this bug is present in CommonBugTest of aqp
(Please fill in changes proposed in this fix)
## How was this patch tested?
(Please explain how this patch was tested. E.g. unit tests, integration
tests, manual tests)
(If this patch involves UI changes, please attach a screenshot; otherwise,
remove this)
Please review http://spark.apache.org/contributing.html before opening a
pull request.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/SnappyDataInc/spark AQP-271
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/17022.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 #17022
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