[jira] [Created] (BEAM-12113) Some Dataframe tests are flaky: AttributeError: 'DataFrame' object has no attribute

["Valentyn Tymofieiev (Jira)" <ji...@apache.org>]

Valentyn Tymofieiev created BEAM-12113:
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             Summary: Some Dataframe tests are flaky: AttributeError: 'DataFrame' object has no attribute
                 Key: BEAM-12113
                 URL: https://issues.apache.org/jira/browse/BEAM-12113
             Project: Beam
          Issue Type: Bug
          Components: test-failures
            Reporter: Valentyn Tymofieiev
            Assignee: Brian Hulette


Sample error:

{noformat}
Error Message
AttributeError: 'DataFrame' object has no attribute 'val'
Stacktrace
self = <apache_beam.dataframe.transforms_test.TransformTest testMethod=test_scalar>

    def test_scalar(self):
      with expressions.allow_non_parallel_operations():
        a = pd.Series([1, 2, 6])
        self.run_scenario(a, lambda a: a.agg(sum))
        self.run_scenario(a, lambda a: a / a.agg(sum))
    
        # Tests scalar being used as an input to a downstream stage.
        df = pd.DataFrame({'key': ['a', 'a', 'b'], 'val': [1, 2, 6]})
        self.run_scenario(
>           df, lambda df: df.groupby('key').sum().val / df.val.agg(sum))

apache_beam/dataframe/transforms_test.py:173: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
apache_beam/dataframe/transforms_test.py:76: in run_scenario
    expected = func(input)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

df =   key  val
0   a    1
1   a    2
2   b    6

>   df, lambda df: df.groupby('key').sum().val / df.val.agg(sum))
E   AttributeError: 'DataFrame' object has no attribute 'val'

apache_beam/dataframe/transforms_test.py:173: AttributeError
{noformat}

Other tests that failed in the same run (https://ci-beam.apache.org/job/beam_PreCommit_Python_Phrase/2419/):

apache_beam.dataframe.schemas_test.SchemasTest.test_bytes_proxy_roundtrip
apache_beam.dataframe.transforms_test.TransformTest.test_groupby_sum_mean




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