HyukjinKwon opened a new pull request, #46453:
URL: https://github.com/apache/spark/pull/46453

   ### What changes were proposed in this pull request?
   
   This PR is a minor change to support more PyArrow versions in the test.
   
   ### Why are the changes needed?
   
   To support more PyArrow versions in the test. it can fail: 
(https://github.com/HyukjinKwon/spark/actions/runs/8994639538/job/24708397027)
   
   ```
   Traceback (most recent call last):
     File 
"/home/runner/work/spark/spark-3.5/python/pyspark/sql/tests/pandas/test_pandas_cogrouped_map.py",
 line 585, in _test_merge_error
       self.__test_merge_error(
     File 
"/home/runner/work/spark/spark-3.5/python/pyspark/sql/tests/pandas/test_pandas_cogrouped_map.py",
 line 606, in __test_merge_error
       with self.assertRaisesRegex(error_class, error_message_regex):
   AssertionError: "Return type of the user-defined function should be 
pandas.DataFrame, but is int64." does not match "
     An exception was thrown from the Python worker. Please see the stack trace 
below.
   Traceback (most recent call last):
     File 
"/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 
1834, in main
       process()
     File 
"/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 
1826, in process
       serializer.dump_stream(out_iter, outfile)
     File 
"/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/sql/pandas/serializers.py",
 line 531, in dump_stream
       return ArrowStreamSerializer.dump_stream(self, 
init_stream_yield_batches(), stream)
              
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
     File 
"/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/sql/pandas/serializers.py",
 line 104, in dump_stream
       for batch in iterator:
     File 
"/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/sql/pandas/serializers.py",
 line 524, in init_stream_yield_batches
       for series in iterator:
     File 
"/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 
1694, in mapper
       return f(df1_keys, df1_vals, df2_keys, df2_vals)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
     File 
"/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 
370, in <lambda>
       return lambda kl, vl, kr, vr: [(wrapped(kl, vl, kr, vr), 
to_arrow_type(return_type))]
                                       ^^^^^^^^^^^^^^^^^^^^^^^
     File 
"/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 
364, in wrapped
       verify_pandas_result(
     File 
"/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 
234, in verify_pandas_result
       raise PySparkTypeError(
   pyspark.errors.exceptions.base.PySparkTypeError: [UDF_RETURN_TYPE] Return 
type of the user-defined function should be pandas.DataFrame, but is int.
   ```
   
   ### Does this PR introduce _any_ user-facing change?
   
   No, test-only.
   
   ### How was this patch tested?
   
   Ci should validate it.
   
   ### Was this patch authored or co-authored using generative AI tooling?
   
   No.


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