TJX2014 commented on a change in pull request #28856:
URL: https://github.com/apache/spark/pull/28856#discussion_r443560745
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
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@@ -2623,8 +2623,16 @@ object Sequence {
// about a month length in days and a day length in microseconds
val intervalStepInMicros =
stepMicros + stepMonths * microsPerMonth + stepDays * microsPerDay
- val startMicros: Long = num.toLong(start) * scale
- val stopMicros: Long = num.toLong(stop) * scale
+
+ // Date to timestamp is not equal from GMT and Chicago timezones
+ val (startMicros, stopMicros) = if (scale == 1) {
+ (num.toLong(start), num.toLong(stop))
+ }
+ else {
+ (daysToMicros(num.toInt(start), zoneId),
+ daysToMicros(num.toInt(stop), zoneId))
Review comment:
Because when `scale` != 1，it is converted to day count，so we may need to
use zone info to translate into microseconds to get a correct result，rather
than just multiply `MICROS_PER_DAY` which ignore timezone.
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