Try OpenSource h2o.ai - a cran-style package that allows fast & scalable R on Hadoop in-Memory. One can invoke single threaded R from h2o package and the runtime on clusters is Java (not R!) - So you get better memory management.
http://docs.0xdata.com/deployment/hadoop.html http://docs.0xdata.com/Ruser/Rpackage.html Sri On Mar 26, 2014, at 6:53, Saravanan Nagarajan <[email protected]> wrote: > HI Jay, > > Below is my understanding of Hadoop+R environment. > > 1. R contain Many data mining algorithm, to re-use this we have many tools > like RHIPE,RHAdoop,etc > 2.This tools will convert R algorithm and run in Hadoop map Reduce using > RMR,But i am not sure whether it will work for all algorithms in R. > > Please let me know if you have any other points. > > Thanks, > Saravanan > linkedin.com/in/saravanan303 > > > > > On Wed, Mar 26, 2014 at 5:35 PM, Jay Vyas <[email protected]> wrote: > Do you mean > > (1) running mapreduce jobs from R ? > > (2) Running R from a mapreduce job ? > Without much extra ceremony, for the latter, you could use either MapReduce > streaming or pig to call a custom program, as long as R is installed on every > node of the cluster itself > > > > On Wed, Mar 26, 2014 at 6:39 AM, Saravanan Nagarajan > <[email protected]> wrote: > HI Siddharth, > > You can try "Big Data Analytics with R and Hadoop " Book, it gives many > options and detailed steps to integrate Hadoop and R. > > If you need this book then mail me to [email protected]. > > Thanks, > Saravanan > linkedin.com/in/saravanan303 > > > > > > > > On Tue, Mar 25, 2014 at 2:04 AM, Jagat Singh <[email protected]> wrote: > Hi, > > Please see RHadoop and RMR > > https://www.google.com.au/search?q=rhadoop+installation > > Thanks, > > Jagat Singh > > > On Tue, Mar 25, 2014 at 7:19 AM, Siddharth Tiwari <[email protected]> > wrote: > Hi team any docummentation around installing r on hadoop > > Sent from my iPhone > > > > > > -- > Jay Vyas > http://jayunit100.blogspot.com >
