[GitHub] [spark] cloud-fan commented on a diff in pull request #42804: [SPARK-45071][SQL] Optimize the processing speed of `BinaryArithmetic#dataType` when processing multi-column data

["cloud-fan (via GitHub)" <gi...@apache.org>]

cloud-fan commented on code in PR #42804:
URL: https://github.com/apache/spark/pull/42804#discussion_r1315502363


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/arithmetic.scala:
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@@ -234,11 +240,7 @@ abstract class BinaryArithmetic extends BinaryOperator
     case _ => super.checkInputDataTypes()
   }
 
-  override def dataType: DataType = (left.dataType, right.dataType) match {
-    case (DecimalType.Fixed(p1, s1), DecimalType.Fixed(p2, s2)) =>
-      resultDecimalType(p1, s1, p2, s2)
-    case _ => left.dataType
-  }
+  override def dataType: DataType = internalDataType

Review Comment:
   can we simply make `dataType` a lazy val?



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