viirya commented on a change in pull request #28876:
URL: https://github.com/apache/spark/pull/28876#discussion_r443298402



##########
File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/AggUtils.scala
##########
@@ -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:
       Moved to `SparkStrategies`.




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