[jira] [Created] (SPARK-13947) PySpark DataFrames: The error message from using an invalid table reference is not clear

["Wes McKinney (JIRA)" <ji...@apache.org>]

Wes McKinney created SPARK-13947:
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             Summary: PySpark DataFrames: The error message from using an invalid table reference is not clear
                 Key: SPARK-13947
                 URL: https://issues.apache.org/jira/browse/SPARK-13947
             Project: Spark
          Issue Type: Improvement
          Components: PySpark
            Reporter: Wes McKinney


{code}
import numpy as np
import pandas as pd

df = pd.DataFrame({'foo': np.random.randn(1000),
                   'bar': np.random.randn(1000)})

df2 = pd.DataFrame({'foo': np.random.randn(1000),
                    'bar': np.random.randn(1000)})


sdf = sqlContext.createDataFrame(df)
sdf2 = sqlContext.createDataFrame(df2)

sdf[sdf2.foo > 0]
{code}

Produces this error message:

{code}
AnalysisException: u'resolved attribute(s) foo#91 missing from bar#87,foo#88 in operator !Filter (foo#91 > cast(0 as double));'
{code}

It may be possible to make it more clear what the user did wrong. 



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