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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-12526) `ifelse`, `when`, `otherwise` unable to take Column as value
Date Sat, 26 Dec 2015 06:00:53 GMT

     [ https://issues.apache.org/jira/browse/SPARK-12526?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-12526:
------------------------------------

    Assignee: Apache Spark

> `ifelse`, `when`, `otherwise` unable to take Column as value
> ------------------------------------------------------------
>
>                 Key: SPARK-12526
>                 URL: https://issues.apache.org/jira/browse/SPARK-12526
>             Project: Spark
>          Issue Type: Bug
>          Components: SparkR
>    Affects Versions: 1.5.2, 1.6.0
>            Reporter: Sen Fang
>            Assignee: Apache Spark
>
> When passing a Column to {{ifelse}}, {{when}}, {{otherwise}}, it will error out with
> {code}
> attempt to replicate an object of type 'environment'
> {code}
> The problems lies in the use of base R {{ifelse}} function, which is vectorized version
of {{if ... else ...}} idiom, but it is unable to replicate a Column's job id as it is an
environment.
> Considering {{callJMethod}} was never designed to be vectorized, the safe option is to
replace {{ifelse}} with {{if ... else ...}} instead. However technically this is inconsistent
to base R's ifelse, which is meant to be vectorized.
> I can send a PR for review first and discuss further if there is scenario at all when
`ifelse`, `when`, `otherwise` would be used vectorizedly.
> A dummy example is:
> {code}
> ifelse(lit(1) == lit(1), lit(2), lit(3))
> {code}
> A concrete example might be:
> {code}
> ifelse(df$mpg > 0, df$mpg, 0)
> {code}



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