BryanCutler commented on issue #26045: [SPARK-29367][DOC] Add compatibility note for Arrow 0.15.0 to SQL guide URL: https://github.com/apache/spark/pull/26045#issuecomment-539253178 Yup, I can add it there too On Mon, Oct 7, 2019, 4:51 PM Hyukjin Kwon <[email protected]> wrote: > *@HyukjinKwon* commented on this pull request. > ------------------------------ > > In docs/sql-pyspark-pandas-with-arrow.md > <https://github.com/apache/spark/pull/26045#discussion_r332285077>: > > > @@ -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 > > Oh, actually @BryanCutler <https://github.com/BryanCutler>, would you > mind adding this (or link back) at > https://github.com/apache/spark/blob/master/docs/sparkr.md#apache-arrow-in-sparkr > ? No worry about testing it out, I will do it tonight. > > — > You are receiving this because you were mentioned. > Reply to this email directly, view it on GitHub > <https://github.com/apache/spark/pull/26045?email_source=notifications&email_token=ABCTA5M26S4523ZU2DP4ORDQNPDO5A5CNFSM4I6IG4R2YY3PNVWWK3TUL52HS4DFWFIHK3DMKJSXC5LFON2FEZLWNFSXPKTDN5WW2ZLOORPWSZGOCHFE4QA#pullrequestreview-298470976>, > or mute the thread > <https://github.com/notifications/unsubscribe-auth/ABCTA5OV22U5IEX2RIKRWOTQNPDO5ANCNFSM4I6IG4RQ> > . >
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