Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/19929#discussion_r158584224
--- Diff: python/pyspark/sql/functions.py ---
@@ -2075,9 +2075,10 @@ class PandasUDFType(object):
def udf(f=None, returnType=StringType()):
"""Creates a user defined function (UDF).
- .. note:: The user-defined functions must be deterministic. Due to
optimization,
+ .. note:: The user-defined functions are considered deterministic. Due
to optimization,
duplicate invocations may be eliminated or the function may even
be invoked more times than
- it is present in the query.
+ it is present in the query. If your function is not deterministic,
call
+ `asNondeterministic`.
--- End diff --
Let's say this more explicitly like .. call `asNondeterministic()` in the
user-defined function. It's partly because I think `UserDefinedFunction` is not
documented in PySpark.
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