Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/18732#discussion_r142522405
--- Diff: python/pyspark/worker.py ---
@@ -74,17 +75,37 @@ def wrap_udf(f, return_type):
def wrap_pandas_udf(f, return_type):
- arrow_return_type = toArrowType(return_type)
-
- def verify_result_length(*a):
- result = f(*a)
- if not hasattr(result, "__len__"):
- raise TypeError("Return type of pandas_udf should be a
Pandas.Series")
- if len(result) != len(a[0]):
- raise RuntimeError("Result vector from pandas_udf was not the
required length: "
- "expected %d, got %d" % (len(a[0]),
len(result)))
- return result
- return lambda *a: (verify_result_length(*a), arrow_return_type)
+ if isinstance(return_type, StructType):
+ import pyarrow as pa
+
+ arrow_return_types = list(to_arrow_type(field.dataType) for field
in return_type)
--- End diff --
I prefer list comprehensions, but it's up to you
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