In addition to Aleksander's point please let us know what use case would
use RDD-like API in https://issues.apache.org/jira/browse/SPARK-7264 -- We
are hoping to have a version of this API in upcoming releases.

Thanks
Shivaram

On Thu, Jun 25, 2015 at 6:02 AM, Eskilson,Aleksander <
alek.eskil...@cerner.com> wrote:

>  The  simple answer is that SparkR does support map/reduce operations
> over RDD’s through the RDD API, but since Spark v 1.4.0, those functions
> were made private in SparkR. They can still be accessed by prepending the
> function with the namespace, like SparkR:::lapply(rdd, func). It was
> thought though that many of the functions in the RDD API were too low level
> to expose, with much more of the focus going into the DataFrame API. The
> original rationale for this decision can be found in its JIRA [1]. The devs
> are still deciding which functions of the RDD API, if any, should be made
> public for future releases. If you feel some use cases are most easily
> handled in SparkR through RDD functions, go ahead and let the dev email
> list know.
>
>  Alek
> [1] -- https://issues.apache.org/jira/browse/SPARK-7230
>
>   From: Wei Zhou <zhweisop...@gmail.com>
> Date: Wednesday, June 24, 2015 at 4:59 PM
> To: "user@spark.apache.org" <user@spark.apache.org>
> Subject: How to Map and Reduce in sparkR
>
>   Anyone knows whether sparkR supports map and reduce operations as the
> RDD transformations? Thanks in advance.
>
>  Best,
> Wei
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