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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/03/11 01:28:00 UTC
[jira] [Assigned] (SPARK-34703) Fix pyspark test when using
sort_values on Pandas
[ https://issues.apache.org/jira/browse/SPARK-34703?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-34703:
------------------------------------
Assignee: Apache Spark (was: L. C. Hsieh)
> 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: Apache Spark
> Priority: Major
>
> Three PySpark tests are currently failed in Jenkins 2.4 build: 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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