BryanCutler commented on a change in pull request #27383: [SPARK-29367][DOC][2.4] Add compatibility note for Arrow 0.15.0 to SQL guide URL: https://github.com/apache/spark/pull/27383#discussion_r372638413
########## File path: docs/sql-pyspark-pandas-with-arrow.md ########## @@ -165,3 +165,20 @@ Note that a standard UDF (non-Pandas) will load timestamp data as Python datetim different than a Pandas timestamp. It is recommended to use Pandas time series functionality when working with timestamps in `pandas_udf`s to get the best performance, see [here](https://pandas.pydata.org/pandas-docs/stable/timeseries.html) for details. + +### Compatibiliy Setting for PyArrow >= 0.15.0 and Spark 2.3.x, 2.4.x Review comment: This is mostly for people that are stuck on an existing Spark version and upgrade pyarrow somehow. They would end up seeing some crazy errors that aren't obvious. Hopefully if they see this, they can fix it instead of making a JIRA, etc. I don't think this is advertising to use an old Spark version, but If you think it's better to remove, I can. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
