Github user ueshin commented on the issue:
https://github.com/apache/spark/pull/16308
I'd like to discuss the boundary of session local timezone.
I assumed it affects only in `DataFrame` operations, neither in `Dataset`
operations, before import from `RDD`, after export to `RDD` nor in `ScalaUDF`s
because we can't control their timezones, which are basically based on system
timezone, i.e. `TimeZone.getDefault()` value.
(And also for backward-compatibility)
What do you think?
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