cloud-fan commented on a change in pull request #32488:
URL: https://github.com/apache/spark/pull/32488#discussion_r643617334
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/UnwrapCastInBinaryComparison.scala
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@@ -121,6 +131,77 @@ object UnwrapCastInBinaryComparison extends
Rule[LogicalPlan] {
if canImplicitlyCast(fromExp, toType, literalType) =>
simplifyNumericComparison(be, fromExp, toType, value)
+ // As the analyzer makes sure that the list of In is already of the same
data type, then the
+ // rule can simply check the first literal in `in.list` can implicitly
cast to `toType` or not,
+ // and note that:
Review comment:
Another idea: We can use `AnsiCast(...).eval`, which fails if overflow
happens. Then null literal is the same as other literals that can cast to
`fromExp.dataType`, and we don't need to distinguish them.
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