maropu commented on a change in pull request #32488:
URL: https://github.com/apache/spark/pull/32488#discussion_r638376223



##########
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/UnwrapCastInBinaryComparison.scala
##########
@@ -121,6 +129,49 @@ 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 this rule doesn't convert in when `in.list` is empty.
+    case in @ In(Cast(fromExp, toType: NumericType, _), list @ Seq(firstLit, 
_*))
+        if canImplicitlyCast(fromExp, toType, firstLit.dataType) && 
in.inSetConvertible =>
+      val (newValueList, exp) =
+        list.map(lit => unwrapCast(EqualTo(in.value, lit)))
+          .partition {
+            case EqualTo(_, _: Literal) => true
+            case _ => false

Review comment:
       On second thoughts, this is a bit risky if unexpected patterns found. 
Sorry for bothering you, but how about this instead?
   ```
               case And(IsNull(_), Literal(null, BooleanType)) => false
               case _ => throw new IllegalStateException("....")
   ```

##########
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/UnwrapCastInBinaryComparison.scala
##########
@@ -121,6 +129,49 @@ 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 this rule doesn't convert in when `in.list` is empty.
+    case in @ In(Cast(fromExp, toType: NumericType, _), list @ Seq(firstLit, 
_*))
+        if canImplicitlyCast(fromExp, toType, firstLit.dataType) && 
in.inSetConvertible =>
+      val (newValueList, exp) =
+        list.map(lit => unwrapCast(EqualTo(in.value, lit)))
+          .partition {
+            case EqualTo(_, _: Literal) => true
+            case _ => false
+          }
+
+      val (nonNullValueList, nullValueList) = newValueList.partition {
+        case EqualTo(_, NonNullLiteral(_, _: NumericType)) => true
+        case _ => false
+      }
+      // make sure the new return list have the same dataType.
+      val newList = {
+        if (nonNullValueList.nonEmpty) {
+          // cast the null value to the dataType of nonNullValueList
+          // when the nonNullValueList is nonEmpty.
+          nullValueList.map {
+            case EqualTo(_, lit) =>
+              Cast(lit, 
nonNullValueList.head.asInstanceOf[EqualTo].left.dataType)
+          } ++ nonNullValueList.map {case EqualTo(_, lit) => lit}
+        } else {
+          // the new value list only contains null value,
+          // cast the null value to fromExp.dataType.
+          nullValueList.map {
+            case EqualTo(_, lit) =>
+              Cast(lit, fromExp.dataType)
+          }
+        }
+      }
+
+      val unwrapIn = In(fromExp, newList)
+      // since `exp` are all the same,
+      // convert to a single value `And(IsNull(_), Literal(null, 
BooleanType))`.
+      exp.headOption match {

Review comment:
       we can assume `assert(exp.length == 1, ...)`?

##########
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/UnwrapCastInBinaryComparison.scala
##########
@@ -121,6 +129,49 @@ 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 this rule doesn't convert in when `in.list` is empty.
+    case in @ In(Cast(fromExp, toType: NumericType, _), list @ Seq(firstLit, 
_*))
+        if canImplicitlyCast(fromExp, toType, firstLit.dataType) && 
in.inSetConvertible =>
+      val (newValueList, exp) =
+        list.map(lit => unwrapCast(EqualTo(in.value, lit)))
+          .partition {
+            case EqualTo(_, _: Literal) => true
+            case _ => false
+          }
+
+      val (nonNullValueList, nullValueList) = newValueList.partition {
+        case EqualTo(_, NonNullLiteral(_, _: NumericType)) => true
+        case _ => false

Review comment:
       ditto
   ```
           case EqualTo(_, Literal(null, _)) => false
           case _ => throw new IllegalStateException("....")
   ```




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