viirya commented on a change in pull request #28876:
URL: https://github.com/apache/spark/pull/28876#discussion_r443271061
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/AggUtils.scala
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@@ -144,11 +145,16 @@ object AggUtils {
// [COUNT(DISTINCT foo), MAX(DISTINCT foo)], but [COUNT(DISTINCT bar),
COUNT(DISTINCT foo)] is
// disallowed because those two distinct aggregates have different column
expressions.
val distinctExpressions =
functionsWithDistinct.head.aggregateFunction.children
- val namedDistinctExpressions = distinctExpressions.map {
- case ne: NamedExpression => ne
- case other => Alias(other, other.toString)()
+ val normalizedNamedDistinctExpressions = distinctExpressions.map { e =>
+ // Ideally this should be done in `NormalizeFloatingNumbers`, but we do
it here because
+ // `groupingExpressions` is not extracted during logical phase.
+ NormalizeFloatingNumbers.normalize(e) match {
+ case ne: NamedExpression => ne
+ case other => Alias(other, other.toString)()
Review comment:
We could have `NormalizeFloatingNumbers.normalize` in `AggUtils`, but we
need to have it both in `AggUtils.planAggregateWithoutDistinct` and
`AggUtils.planAggregateWithOneDistinct`.
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