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

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-13947?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-13947:
------------------------------------

    Assignee:     (was: Apache Spark)

> 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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