zhengruifeng commented on code in PR #53674:
URL: https://github.com/apache/spark/pull/53674#discussion_r2663300906
##########
python/pyspark/sql/tests/pandas/test_pandas_udf_scalar.py:
##########
@@ -2043,6 +2043,63 @@ def plus_two(iterator):
result =
df.select(plus_two("id").alias("result")).collect()
self.assertEqual(expected, result)
+ def test_selective_column_conversion(self):
+ """Test that selective conversion only converts used columns."""
+ # Create DataFrame with 10 columns, but UDF only uses 2
Review Comment:
you may want refer to
https://github.com/apache/spark/blob/d2b49662fa243bd9407f1bfcfa1f14ace4b60a76/sql/core/src/main/scala/org/apache/spark/sql/execution/python/EvalPythonExec.scala#L36-L82
it shows how the result rows are zipped from python workers and scala side
(a row queue)
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