mengxr commented on a change in pull request #24643:
[SPARK-26412][PySpark][SQL] Allow Pandas UDF to take an iterator of pd.Series
or an iterator of tuple of pd.Series
URL: https://github.com/apache/spark/pull/24643#discussion_r293603693
##########
File path: python/pyspark/sql/tests/test_pandas_udf_scalar.py
##########
@@ -348,12 +436,47 @@ def test_vectorized_udf_invalid_length(self):
'Result vector from pandas_udf was not the required
length'):
df.select(raise_exception(col('id'))).collect()
+ @pandas_udf(LongType(), PandasUDFType.SCALAR_ITER)
+ def iter1_raise_exception(it):
+ for _ in it:
+ yield pd.Series(1)
+
+ with QuietTest(self.sc):
+ with self.assertRaisesRegexp(
+ Exception,
+ "The number of output rows of pandas iterator UDF should
be "
+ "the same with input rows"):
+ df.select(iter1_raise_exception(col('id'))).collect()
+
+ @pandas_udf(LongType(), PandasUDFType.SCALAR_ITER)
+ def iter2_raise_exception(it):
+ if sys.version >= '3':
Review comment:
minor: if you don't want to deal with 2/3:
~~~python
for batch in it:
yield pd.Series([1] * len(batch))
break
~~~
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