Github user ueshin commented on the issue:
https://github.com/apache/spark/pull/18933
I'd close this for now. We can open another pr if needed. We need another
implementation anyway.
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Github user felixcheung commented on the issue:
https://github.com/apache/spark/pull/18933
I opened https://issues.apache.org/jira/browse/SPARK-23314 @icexelloss
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Github user icexelloss commented on the issue:
https://github.com/apache/spark/pull/18933
I thought this is resolved. @felixcheung can you give an example of the
issue you ran into?
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Github user felixcheung commented on the issue:
https://github.com/apache/spark/pull/18933
Ping. I ran into this exact issue with pandas_udf on a simple data set with
a timestamp type column.
As far as I can tell, there is no way to around this since pandas code is
running deep
Github user BryanCutler commented on the issue:
https://github.com/apache/spark/pull/18933
Hi @ueshin , I've been following SPARK-12297 PR
https://github.com/apache/spark/pull/19250 that deals with some of the same
issues as here. I think they are proposing a conf that the user
Github user BryanCutler commented on the issue:
https://github.com/apache/spark/pull/18933
I was wondering what your thoughts were on what this conf should do for the
case that Arrow was enabled and `spark.sql.execution.pandas.timeZoneAware` was
`false`? Would the time zone be
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