[jira] [Assigned] (SPARK-8568) Prevent accidental use of "and" and "or" to build invalid expressions in Python

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

     [ https://issues.apache.org/jira/browse/SPARK-8568?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-8568:
-----------------------------------

    Assignee: Apache Spark  (was: Davies Liu)

> Prevent accidental use of "and" and "or" to build invalid expressions in Python
> -------------------------------------------------------------------------------
>
>                 Key: SPARK-8568
>                 URL: https://issues.apache.org/jira/browse/SPARK-8568
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>            Reporter: Reynold Xin
>            Assignee: Apache Spark
>            Priority: Critical
>
> In Spark DataFrames (and in Pandas as well), the correct way to construct a conjunctive expression is to use the bitwise and operator, i.e.: "(x > 5) & (y > 6)". 
> However, a lot of users assume that they should be using the Python "and" keyword, i.e. doing "x > 5 and y > 6". Python's boolean evaluation logic converts "x > 5 and y > 6" into just "y > 6" (since "x > 5" is not None). This is super confusing & error prone.
> We should override __bool__ and __nonzero__ for Column to throw an exception if users call "and" and "or" on Column expressions.
> Background: see this blog post http://www.nodalpoint.com/unexpected-behavior-of-spark-dataframe-filter-method/



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