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https://issues.apache.org/jira/browse/SPARK-8573?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai resolved SPARK-8573.
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Resolution: Duplicate
> For PySpark's DataFrame API, we need to throw exceptions when users try to
> use and/or/not
> -----------------------------------------------------------------------------------------
>
> Key: SPARK-8573
> URL: https://issues.apache.org/jira/browse/SPARK-8573
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark, SQL
> Affects Versions: 1.3.0
> Reporter: Yin Huai
> Assignee: Davies Liu
> Priority: Critical
>
> In PySpark's DataFrame API, we have
> {code}
> # `and`, `or`, `not` cannot be overloaded in Python,
> # so use bitwise operators as boolean operators
> __and__ = _bin_op('and')
> __or__ = _bin_op('or')
> __invert__ = _func_op('not')
> __rand__ = _bin_op("and")
> __ror__ = _bin_op("or")
> {code}
> Right now, users can still use operators like {{and}}, which can cause very
> confusing behaviors. We need to throw an error when users try to use them and
> let them know what is the right way to do.
> For example,
> {code}
> df = sqlContext.range(1, 10)
> df.id > 5 or df.id < 10
> Out[30]: Column<(id > 5)>
> df.id > 5 and df.id < 10
> Out[31]: Column<(id < 10)>
> {code}
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