cloud-fan commented on a change in pull request #29061:
URL: https://github.com/apache/spark/pull/29061#discussion_r453458611
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/NormalizeFloatingNumbers.scala
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@@ -116,6 +116,15 @@ object NormalizeFloatingNumbers extends Rule[LogicalPlan] {
case CreateMap(children, useStringTypeWhenEmpty) =>
CreateMap(children.map(normalize), useStringTypeWhenEmpty)
+ case If(cond, trueValue, falseValue) =>
+ If(cond, normalize(trueValue), normalize(falseValue))
+
+ case CaseWhen(branches, elseVale) =>
+ CaseWhen(branches.map(br => (br._1, normalize(br._2))),
elseVale.map(normalize))
+
+ case Coalesce(children) =>
+ Coalesce(children.map(normalize))
+
case _ if expr.dataType == FloatType || expr.dataType == DoubleType =>
Review comment:
Shall we put these new cases after this case? The main goal of this
optimization is to avoid constructing a new `CreateStruct` during
normalization. If it's just a float/double type If/CashWhen/Coalesce, it's
actually an overhead to duplicate the normalization work in each child.
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