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https://issues.apache.org/jira/browse/SPARK-12526?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-12526:
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Assignee: (was: 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
>
> 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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