Wes McKinney created SPARK-13946:
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Summary: PySpark DataFrames allows you to silently use aggregate
expressions derived from different table expressions
Key: SPARK-13946
URL: https://issues.apache.org/jira/browse/SPARK-13946
Project: Spark
Issue Type: Bug
Components: PySpark
Reporter: Wes McKinney
In my opinion, this code should raise an exception rather than silently
discarding the predicate:
{code}
import numpy as np
import pandas as pd
df = pd.DataFrame({'foo': np.random.randn(1000000),
'bar': np.random.randn(1000000)})
sdf = sqlContext.createDataFrame(df)
sdf2 = sdf[sdf.bar > 0]
sdf.agg(F.count(sdf2.foo)).show()
+----------+
|count(foo)|
+----------+
| 1000000|
+----------+
{code}
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