Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/9419#discussion_r43682141
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
---
@@ -240,10 +240,52 @@ class Analyzer(
x.child
}
+ // We will insert another Projection if the GROUP BY keys are
contained in the
+ // aggregation. And the top operators can references those keys by
its alias.
+ // e.g. SELECT a, b, sum(a) FROM src GROUP BY a, b with rollup ==>
+ // SELECT a, b, sum(a1) FROM (SELECT a, b, a AS a1 FROM src)
GROUP BY a, b with rollup
+
+ // collect all the distinct attributes that are in both
aggregation functions and
+ // group by clauses
+ val attrInAggregatedFuncAndGroupBy = aggregation.collect {
+ case aggFunc: Alias => aggFunc.collect {
+ case a : Attribute if newGroupByExprs.contains(a) => a}
+ }.flatten.distinct
+
+ val alias4AttrInAggregatedFuncAndGroupBy = new ArrayBuffer[Alias]()
--- End diff --
It seems we already know the initial size of this so lets at try and use
that to reduce allocations.
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