Yao-MR commented on code in PR #12048:
URL: https://github.com/apache/gluten/pull/12048#discussion_r3205831344
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gluten-substrait/src/main/scala/org/apache/gluten/expression/ExpressionConverter.scala:
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@@ -467,6 +467,34 @@ object ExpressionConverter extends SQLConfHelper with
Logging {
case s: ScalarSubquery =>
ScalarSubqueryTransformer(substraitExprName, s)
case c: Cast =>
+ // Gluten uses session-level timezone for cast. If the per-expression
timezone
+ // differs from session timezone and the cast involves timestamp type,
we must
+ // fall back to Spark native execution to ensure correctness.
+ // Note: Spark Cast applies zoneId recursively to array/map/struct
elements,
+ // so we must check nested types as well.
+ c.timeZoneId.foreach {
+ tz =>
+ val sessionTz = SQLConf.get.sessionLocalTimeZone
+ if (tz != sessionTz) {
+ def containsTimestamp(dataType: DataType): Boolean = dataType
match {
+ case TimestampType => true
+ case a: ArrayType => containsTimestamp(a.elementType)
+ case m: MapType =>
+ containsTimestamp(m.keyType) ||
containsTimestamp(m.valueType)
+ case s: StructType => s.exists(f =>
containsTimestamp(f.dataType))
+ case udt: UserDefinedType[_] =>
+ containsTimestamp(udt.sqlType)
+ case _ => false
+ }
Review Comment:
sure, and extract the recursive timestamp-type check as a private helper
`involvesTimestampType`,no functional change; pure readability refactor.
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