turboFei commented on a change in pull request #25701: [SPARK-29000][SQL]
Decimal precision overflow when don't allow precision loss
URL: https://github.com/apache/spark/pull/25701#discussion_r321649874
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
##########
@@ -862,17 +862,23 @@ object TypeCoercion {
case e if !e.childrenResolved => e
case b @ BinaryOperator(left, right) if left.dataType != right.dataType
=>
- findTightestCommonType(left.dataType, right.dataType).map { commonType
=>
- if (b.inputType.acceptsType(commonType)) {
- // If the expression accepts the tightest common type, cast to
that.
- val newLeft = if (left.dataType == commonType) left else
Cast(left, commonType)
- val newRight = if (right.dataType == commonType) right else
Cast(right, commonType)
- b.withNewChildren(Seq(newLeft, newRight))
- } else {
- // Otherwise, don't do anything with the expression.
- b
- }
- }.getOrElse(b) // If there is no applicable conversion, leave
expression unchanged.
+ (left, right) match {
+ // Skip to handle decimals
+ case (l, r) if l.dataType.isInstanceOf[DecimalType] ||
Review comment:
done.
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