Github user davies commented on the pull request:
https://github.com/apache/spark/pull/6250#issuecomment-103313060
@airhorns Timezone is too slow/complicated to support in database or
analytics system, most of them use local timezone. This will not change in near
term (even long term).
Given the fact that there is no way to get the time zone back, local time
is better than UTC time. Spark SQL is not a storage, so you can easily change
the timezone of it (this is the benefit of using local timezone).
Scala/Java have the same issue of losing timezone.
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