L. C. Hsieh created SPARK-34703:
-----------------------------------
Summary: Fix pyspark test when using sort_values on Pandas
Key: SPARK-34703
URL: https://issues.apache.org/jira/browse/SPARK-34703
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 2.4.7
Reporter: L. C. Hsieh
Assignee: L. C. Hsieh
Three PySpark tests are currently failed in Jenkins: test_column_order,
test_complex_groupby, test_udf_with_key.
{code}
======================================================================
ERROR: test_column_order (pyspark.sql.tests.GroupedMapPandasUDFTests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/spark/python/pyspark/sql/tests.py", line 5996, in test_column_order
expected = pd_result.sort_values(['id', 'v']).reset_index(drop=True)
File "/usr/local/lib/python2.7/dist-packages/pandas/core/frame.py", line
4711, in sort_values
for x in by]
File "/usr/local/lib/python2.7/dist-packages/pandas/core/generic.py", line
1702, in _get_label_or_level_values
self._check_label_or_level_ambiguity(key, axis=axis)
File "/usr/local/lib/python2.7/dist-packages/pandas/core/generic.py", line
1656, in _check_label_or_level_ambiguity
raise ValueError(msg)
ValueError: 'id' is both an index level and a column label, which is ambiguous.
======================================================================
ERROR: test_complex_groupby (pyspark.sql.tests.GroupedMapPandasUDFTests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/spark/python/pyspark/sql/tests.py", line 5765, in test_complex_groupby
expected = expected.sort_values(['id', 'v']).reset_index(drop=True)
File "/usr/local/lib/python2.7/dist-packages/pandas/core/frame.py", line
4711, in sort_values
for x in by]
File "/usr/local/lib/python2.7/dist-packages/pandas/core/generic.py", line
1702, in _get_label_or_level_values
self._check_label_or_level_ambiguity(key, axis=axis)
File "/usr/local/lib/python2.7/dist-packages/pandas/core/generic.py", line
1656, in _check_label_or_level_ambiguity
raise ValueError(msg)
ValueError: 'id' is both an index level and a column label, which is ambiguous.
======================================================================
ERROR: test_udf_with_key (pyspark.sql.tests.GroupedMapPandasUDFTests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/spark/python/pyspark/sql/tests.py", line 5922, in test_udf_with_key
.sort_values(['id', 'v']).reset_index(drop=True)
File "/usr/local/lib/python2.7/dist-packages/pandas/core/frame.py", line
4711, in sort_values
for x in by]
File "/usr/local/lib/python2.7/dist-packages/pandas/core/generic.py", line
1702, in _get_label_or_level_values
self._check_label_or_level_ambiguity(key, axis=axis)
File "/usr/local/lib/python2.7/dist-packages/pandas/core/generic.py", line
1656, in _check_label_or_level_ambiguity
raise ValueError(msg)
ValueError: 'id' is both an index level and a column label, which is ambiguous.
{code}
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