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https://issues.apache.org/jira/browse/SPARK-15920?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15454543#comment-15454543
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Sean Owen commented on SPARK-15920:
-----------------------------------
It was closed because it's a question, and that should go on the mailing list.
JIRA is for discussion of concrete changes in the source code.
You can call .map on a DataFrame anyway, and get a Dataset of the result, so
the premise isn't true. Well, at least I know that's the case for Scala.
> Using map on DataFrame
> ----------------------
>
> Key: SPARK-15920
> URL: https://issues.apache.org/jira/browse/SPARK-15920
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.0.0
> Environment: branch-2.0
> Reporter: Piotr Milanowski
>
> In Spark 1.6 there was a method {{DataFrame.map}} as an alias to
> {{DataFrame.rdd.map}}. In spark 2.0 this functionality no longer exists.
> Is there a preferred way of doing map on a DataFrame without explicitly
> calling {{DataFrame.rdd.map}}? Maybe this functionality should be kept, just
> for backward compatibility purpose?
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