You are viewing a plain text version of this content. The canonical link for it is here.

Posted to reviews@spark.apache.org by felixcheung <gi...@git.apache.org> on 2018/02/01 05:54:24 UTC

[GitHub] spark issue #18933: [WIP][SPARK-21722][SQL][PYTHON] Enable timezone-aware ti...

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 inside pyspark and the only workaround is to make the column a string?
    
    @BryanCutler @ueshin @icexelloss @HyukjinKwon  any thought on how to fix this?



---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org