gaogaotiantian commented on PR #52980:
URL: https://github.com/apache/spark/pull/52980#issuecomment-3529200687

   So let me try to understand the current behavior - if I do a 
`spark.createDataFrame()` with a fixed `datetime`, or `now()`, I could end up 
with a dataframe that has all kinds of timestamps? Just because the task is 
distributed to clusters with different local timezones?


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