Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/20798#discussion_r175332547
--- Diff: docs/sql-programming-guide.md ---
@@ -1799,6 +1799,12 @@ different than a Pandas timestamp. It is recommended
to use Pandas time series f
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.
+### Keyword Arguments and Related Structures
+
+Currently, for `pandas_udf` it is not possible to pass keyword arguments
to a function. The wrapped
+function must also not be a `functools.partial` function object. Functions
with a zero-length argument
+list are unsupported, but can be approximated via a single-argument udf
which ignores the passed arg.
--- End diff --
Ah, hm .. I think we are fine to leave this note out of the SQL programing
guide for now .. Arguably this seems rather a corner case (just given my
monitoring mailing list and JIRAs so far). I personally have promoted guys to
leave some notes about key points only.
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