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https://issues.apache.org/jira/browse/SPARK-13947?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li updated SPARK-13947:
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Summary: The error message from using an invalid table reference is not
clear (was: PySpark DataFrames: The error message from using an invalid table
reference is not clear)
> 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: SQL
> 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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