viirya commented on code in PR #43694:
URL: https://github.com/apache/spark/pull/43694#discussion_r1384416801
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala:
##########
@@ -785,17 +786,19 @@ case class Cast(
buildCast[Boolean](_, b => if (b) 1 else 0)
case DateType =>
buildCast[Int](_, d => null)
- case TimestampType if ansiEnabled =>
+ case TimestampType =>
buildCast[Long](_, t => {
val longValue = timestampToLong(t)
if (longValue == longValue.toInt) {
longValue.toInt
} else {
- throw QueryExecutionErrors.castingCauseOverflowError(t, from,
IntegerType)
+ if (ansiEnabled) {
+ throw QueryExecutionErrors.castingCauseOverflowError(t, from,
IntegerType)
+ } else {
+ null
+ }
Review Comment:
While I'm working on related stuff about casting timestamp, I take a look
how Spark handles casting timestamp to integer. If no special reason, this
behavior doesn't look correct to me and is not common way for overflowing when
casting other types under non-ansi mode.
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