kiszk commented on a change in pull request #26045: [SPARK-29367][DOC] Add compatibility note for Arrow 0.15.0 to SQL guide URL: https://github.com/apache/spark/pull/26045#discussion_r332807321
########## File path: docs/sql-pyspark-pandas-with-arrow.md ########## @@ -219,3 +219,14 @@ 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 + +Since Arrow 0.15.0, a change in the binary IPC format requires an environment variable to be set in Review comment: How about adding a link `http://arrow.apache.org/blog/2019/10/06/0.15.0-release/#columnar-streaming-protocol-change-since-0140` to the release blog of Apache Arrow? ---------------------------------------------------------------- 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: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
