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From "Matthias Egli (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-15920) Using map on DataFrame
Date Thu, 01 Sep 2016 06:02:21 GMT

    [ https://issues.apache.org/jira/browse/SPARK-15920?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15454430#comment-15454430
] 

Matthias Egli commented on SPARK-15920:
---------------------------------------

[~srowen] Why was this ticket closed? The documentation of Spark 2.0 still has some examples
of python code using .map directly on a DataFrame (e.g. here: https://spark.apache.org/docs/2.0.0/sql-programming-guide.html#inferring-the-schema-using-reflection).
Also, the migration documentation does not state that the map functionality is not supported
anymore on pyspark's DataFrame in Spark 2.0

> 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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