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From John Aherne <john.ahe...@justenough.com>
Subject Re: Using R code as part of a Spark Application
Date Wed, 29 Jun 2016 21:53:07 GMT
I don't think R server requires R on the executor nodes. I originally set
up a SparkR cluster for our Data Scientist on Azure which required that I
install R on each node, but for the R Server set up, there is an extra edge
node with R server that they connect to. From what little research I was
able to do, it seems that there are some special functions in R Server that
can distribute the work to the cluster.

Documentation is light, and hard to find but I found this helpful:
https://blogs.msdn.microsoft.com/uk_faculty_connection/2016/05/10/r-server-for-hdinsight-running-on-microsoft-azure-cloud-data-science-challenges/



On Wed, Jun 29, 2016 at 3:29 PM, Sean Owen <sowen@cloudera.com> wrote:

> Oh, interesting: does this really mean the return of distributing R
> code from driver to executors and running it remotely, or do I
> misunderstand? this would require having R on the executor nodes like
> it used to?
>
> On Wed, Jun 29, 2016 at 5:53 PM, Xinh Huynh <xinh.huynh@gmail.com> wrote:
> > There is some new SparkR functionality coming in Spark 2.0, such as
> > "dapply". You could use SparkR to load a Parquet file and then run
> "dapply"
> > to apply a function to each partition of a DataFrame.
> >
> > Info about loading Parquet file:
> >
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc1-docs/sparkr.html#from-data-sources
> >
> > API doc for "dapply":
> >
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc1-docs/api/R/index.html
> >
> > Xinh
> >
> > On Wed, Jun 29, 2016 at 6:54 AM, sujeet jog <sujeet.jog@gmail.com>
> wrote:
> >>
> >> try Spark pipeRDD's , you can invoke the R script from pipe , push  the
> >> stuff you want to do on the Rscript stdin,  p
> >>
> >>
> >> On Wed, Jun 29, 2016 at 7:10 PM, Gilad Landau <
> Gilad.Landau@clicktale.com>
> >> wrote:
> >>>
> >>> Hello,
> >>>
> >>>
> >>>
> >>> I want to use R code as part of spark application (the same way I would
> >>> do with Scala/Python).  I want to be able to run an R syntax as a map
> >>> function on a big Spark dataframe loaded from a parquet file.
> >>>
> >>> Is this even possible or the only way to use R is as part of RStudio
> >>> orchestration of our Spark  cluster?
> >>>
> >>>
> >>>
> >>> Thanks for the help!
> >>>
> >>>
> >>>
> >>> Gilad
> >>>
> >>>
> >>
> >>
> >
>
> ---------------------------------------------------------------------
> To unsubscribe e-mail: user-unsubscribe@spark.apache.org
>
>


-- 

John Aherne
Big Data and SQL Developer

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