viirya commented on code in PR #43694:
URL: https://github.com/apache/spark/pull/43694#discussion_r1384416801
##########
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, 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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