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https://issues.apache.org/jira/browse/SPARK-27387?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-27387.
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Resolution: Fixed
Fix Version/s: 3.0.0
Fixed in https://github.com/apache/spark/pull/24306
> Replace sqlutils assertPandasEqual with Pandas assert_frame_equal in tests
> --------------------------------------------------------------------------
>
> Key: SPARK-27387
> URL: https://issues.apache.org/jira/browse/SPARK-27387
> Project: Spark
> Issue Type: Bug
> Components: PySpark, Tests
> Affects Versions: 2.4.1
> Reporter: Bryan Cutler
> Priority: Major
> Fix For: 3.0.0
>
>
> In PySpark unit tests, sqlutils ReusedSQLTestCase.assertPandasEqual is meant
> to check if 2 pandas.DataFrames are equal but it seems for later versions of
> Pandas, this can fail if the DataFrame has an array column. This method can
> be replaced by {{assert_frame_equal}} from pandas.util.testing. This is what
> it is meant for and it will give a better assertion message as well.
> The test failure I have seen is:
> {noformat}
> ======================================================================
> ERROR: test_supported_types
> (pyspark.sql.tests.test_pandas_udf_grouped_map.GroupedMapPandasUDFTests)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File
> "/home/bryan/git/spark/python/pyspark/sql/tests/test_pandas_udf_grouped_map.py",
> line 128, in test_supported_types
> self.assertPandasEqual(expected1, result1)
> File "/home/bryan/git/spark/python/pyspark/testing/sqlutils.py", line 268,
> in assertPandasEqual
> self.assertTrue(expected.equals(result), msg=msg)
> File "/home/bryan/miniconda2/envs/pa012/lib/python3.6/site-packages/pandas
> ...
> File "pandas/_libs/lib.pyx", line 523, in
> pandas._libs.lib.array_equivalent_object
> ValueError: The truth value of an array with more than one element is
> ambiguous. Use a.any() or a.all()
> {noformat}
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