Github user hvanhovell commented on a diff in the pull request:
https://github.com/apache/spark/pull/15936#discussion_r88947150
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
---
@@ -1244,6 +1244,23 @@ class Analyzer(
case s @ ScalarSubquery(sub, conditions, exprId)
if sub.resolved && conditions.isEmpty && sub.output.size != 1
=>
failAnalysis(s"Scalar subquery must return only one column, but
got ${sub.output.size}")
+ // SPARK-1854: block cases where GROUP BY columns
+ // are not part of the correlated columns
+ case s @ ScalarSubquery(sub, conditions, exprId)
--- End diff --
BTW: we should not assume that an aggregate is always the top-level node
for a correlated scalar subquery. We add a projection to the subquery plan when
it shares attributes with the outer plan. This is solved in CheckAnalysis.
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