Github user BryanCutler commented on the issue:
https://github.com/apache/spark/pull/18664
The root of the problem is that `SESSION_LOCAL_TIMEZONE` is not used in
`toInternal`/`fromInternal` in the timestamp type
[here](https://github.com/BryanCutler/spark/blob/master/python/pyspark/sql/types.py#L179).
It's the same issue in Scala with the Timestamp encoder that uses
`DateTimeUtils.fromJavaTimestamp`/`toJavaTimestamp`. Fixing these is well
beyond the scope of this PR, is it planned to be fixed elsewhere?
Given that this will cause problems with importing/exporting Arrow data,
and that is a big part of the use case for Arrow, what exactly is using
`SESSION_LOCAL_TIMEZONE` going to help with until the above is fixed? I'm fine
with putting in the PR from @ueshin if that is what everyone prefers, but I
just want to understand a little more about the intent.
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