Hi Alek,
Thanks for the info. You are correct ,that using the three colons does
work. Admittedly I am a R novice, but since the three colons is used to
access hidden methods, it seems pretty dirty.

Can someone shed light on the design direction being taken with SparkR?
Should I really be accessing hidden methods or will better approach
prevail? For instance, it feels like the k-means sample should really use
MLlib and not just be a port the k-means sample using hidden methods. Am I
looking at this incorrectly?

Thanks,
Andrew

On Tue, May 26, 2015 at 6:56 AM, Eskilson,Aleksander <
alek.eskil...@cerner.com> wrote:

>  From the changes to the namespace file, that appears to be correct, all
> methods of the RDD API have been made private, which in R means that you
> may still access them by using the namespace prefix SparkR with three
> colons, e.g. SparkR:::func(foo, bar).
>
>  So a starting place for porting old SparkR scripts from before the merge
> could be to identify those methods in the script belonging to the RDD class
> and be sure they have the namespace identifier tacked on the front. I hope
> that helps.
>
>  Regards,
> Alek Eskilson
>
>   From: Andrew Psaltis <psaltis.and...@gmail.com>
> Date: Monday, May 25, 2015 at 6:25 PM
> To: "dev@spark.apache.org" <dev@spark.apache.org>
> Subject: SparkR and RDDs
>
>   Hi,
> I understand from SPARK-6799[1] and the respective merge commit [2]  that
> the RDD class is private in Spark 1.4 . If I wanted to modify the old
> Kmeans and/or LR examples so that the computation happened in Spark what is
> the best direction to go? Sorry if I am missing something obvious, but
> based on the NAMESPACE file [3] in the SparkR codebase I am having trouble
> seeing the obvious direction to go.
>
>  Thanks in advance,
> Andrew
>
>  [1] https://issues.apache.org/jira/browse/SPARK-6799
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__issues.apache.org_jira_browse_SPARK-2D6799&d=AwMFaQ&c=NRtzTzKNaCCmhN_9N2YJR-XrNU1huIgYP99yDsEzaJo&r=0vZw1rBdgaYvDJYLyKglbrax9kvQfRPdzxLUyWSyxPM&m=T9sfWUgCtxLUJ9F4B-MAmBhrH4e3aGvb_hbrENoIKho&s=bawjeA3Y9me3xXGxKghL4_dlf7vHdFHtiV5IhMlOmtc&e=>
> [2]
> https://github.com/apache/spark/commit/4b91e18d9b7803dbfe1e1cf20b46163d8cb8716c
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_apache_spark_commit_4b91e18d9b7803dbfe1e1cf20b46163d8cb8716c&d=AwMFaQ&c=NRtzTzKNaCCmhN_9N2YJR-XrNU1huIgYP99yDsEzaJo&r=0vZw1rBdgaYvDJYLyKglbrax9kvQfRPdzxLUyWSyxPM&m=T9sfWUgCtxLUJ9F4B-MAmBhrH4e3aGvb_hbrENoIKho&s=Hc7ijtxcnrZ7wSOStlz0-BHH-rUXSFowCpJuNGYu5eo&e=>
> [3] https://github.com/apache/spark/blob/branch-1.4/R/pkg/NAMESPACE
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_apache_spark_blob_branch-2D1.4_R_pkg_NAMESPACE&d=AwMFaQ&c=NRtzTzKNaCCmhN_9N2YJR-XrNU1huIgYP99yDsEzaJo&r=0vZw1rBdgaYvDJYLyKglbrax9kvQfRPdzxLUyWSyxPM&m=T9sfWUgCtxLUJ9F4B-MAmBhrH4e3aGvb_hbrENoIKho&s=l64LUOvbJ53qsVYphkYJ7_kbNptBdEhsSRSWBg5zqn8&e=>
>
>    CONFIDENTIALITY NOTICE This message and any included attachments are
> from Cerner Corporation and are intended only for the addressee. The
> information contained in this message is confidential and may constitute
> inside or non-public information under international, federal, or state
> securities laws. Unauthorized forwarding, printing, copying, distribution,
> or use of such information is strictly prohibited and may be unlawful. If
> you are not the addressee, please promptly delete this message and notify
> the sender of the delivery error by e-mail or you may call Cerner's
> corporate offices in Kansas City, Missouri, U.S.A at (+1) (816)221-1024.
>

Reply via email to