Wes McKinney created SPARK-13947:
------------------------------------
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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
