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https://issues.apache.org/jira/browse/SPARK-15407?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15819926#comment-15819926
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Hyukjin Kwon commented on SPARK-15407:
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Hi [~hvanhovell], I just wonder if we should resolve this as {{Won't Fix}} or
{{Not A Problem}}.
> Floor division
> --------------
>
> Key: SPARK-15407
> URL: https://issues.apache.org/jira/browse/SPARK-15407
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.6.1
> Reporter: Joao Ferreira
>
> I'm unable to perform floor division on DataFrame columns:
> df.withColumn("d_date", df.d_date // 100)
> Will produce:
> TypeError: unsupported operand type(s) for //: 'Column' and 'int'
> My column is of the int type. Basic operations such as
> sum/division/subtraction work fine.
> The inner workings of PySpark mention a floor function inside
> sql/functions... but the actual code to perform this operation is missing.
> Am I missing anything?
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