viirya commented on a change in pull request #29061:
URL: https://github.com/apache/spark/pull/29061#discussion_r453366149



##########
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/NormalizeFloatingNumbers.scala
##########
@@ -116,6 +116,15 @@ object NormalizeFloatingNumbers extends Rule[LogicalPlan] {
     case CreateMap(children, useStringTypeWhenEmpty) =>
       CreateMap(children.map(normalize), useStringTypeWhenEmpty)
 
+    case If(cond, trueValue, falseValue) =>

Review comment:
       Based on the doc of `NormalizeFloatingNumbers`, we handle that well 
during comparison. So the boolean condition is okay. We need normalize 
`trueValue` and `falseValue` because they could be passed through up to binary 
format in grouping/join/window partition.




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