gengliangwang commented on code in PR #40996:
URL: https://github.com/apache/spark/pull/40996#discussion_r1182925515
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/ResolveDefaultColumnsUtil.scala:
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@@ -218,10 +219,29 @@ object ResolveDefaultColumns {
} else if (Cast.canUpCast(analyzed.dataType, dataType)) {
Cast(analyzed, dataType)
} else {
- throw new AnalysisException(
- s"Failed to execute $statementType command because the destination
table column " +
- s"$colName has a DEFAULT value with type $dataType, but the " +
- s"statement provided a value of incompatible type
${analyzed.dataType}")
+ // If the provided default value is a literal of a wider type than the
target column, but the
+ // literal value fits within the narrower type, just coerce it for
convenience.
+ val result = if (analyzed.isInstanceOf[Literal] &&
+ !Seq(dataType, analyzed.dataType).exists(_ == BooleanType)) {
Review Comment:
Add a comment about why can't any of the data types being Boolean?
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