Shivaram, As I know, SparkR used rJava package. In work node, spark code will execute R code by launching R process and send/receive byte array. I have a question on when to launch R process. R process is per Work process, or per executor thread, or per each RDD processing?
Thanks and Regards. Kui > On Sep 6, 2014, at 5:53 PM, oppokui <oppo...@gmail.com> wrote: > > Cool! It is a very good news. Can’t wait for it. > > Kui > >> On Sep 5, 2014, at 1:58 AM, Shivaram Venkataraman >> <shiva...@eecs.berkeley.edu> wrote: >> >> Thanks Kui. SparkR is a pretty young project, but there are a bunch of >> things we are working on. One of the main features is to expose a data >> frame API (https://sparkr.atlassian.net/browse/SPARKR-1) and we will >> be integrating this with Spark's MLLib. At a high-level this will >> allow R users to use a familiar API but make use of MLLib's efficient >> distributed implementation. This is the same strategy used in Python >> as well. >> >> Also we do hope to merge SparkR with mainline Spark -- we have a few >> features to complete before that and plan to shoot for integration by >> Spark 1.3. >> >> Thanks >> Shivaram >> >> On Wed, Sep 3, 2014 at 9:24 PM, oppokui <oppo...@gmail.com> wrote: >>> Thanks, Shivaram. >>> >>> No specific use case yet. We try to use R in our project as data scientest >>> are all knowing R. We had a concern that how R handles the mass data. Spark >>> does a better work on big data area, and Spark ML is focusing on predictive >>> analysis area. Then we are thinking whether we can merge R and Spark >>> together. We tried SparkR and it is pretty easy to use. But we didn’t see >>> any feedback on this package in industry. It will be better if Spark team >>> has R support just like scala/Java/Python. >>> >>> Another question is that MLlib will re-implement all famous data mining >>> algorithms in Spark, then what is the purpose of using R? >>> >>> There is another technique for us H2O which support R natively. H2O is more >>> friendly to data scientist. I saw H2O can also work on Spark (Sparkling >>> Water). It is better than using SparkR? >>> >>> Thanks and Regards. >>> >>> Kui >>> >>> >>> On Sep 4, 2014, at 1:47 AM, Shivaram Venkataraman >>> <shiva...@eecs.berkeley.edu> wrote: >>> >>> Hi >>> >>> Do you have a specific use-case where SparkR doesn't work well ? We'd love >>> to hear more about use-cases and features that can be improved with SparkR. >>> >>> Thanks >>> Shivaram >>> >>> >>> On Wed, Sep 3, 2014 at 3:19 AM, oppokui <oppo...@gmail.com> wrote: >>>> >>>> Does spark ML team have plan to support R script natively? There is a >>>> SparkR project, but not from spark team. Spark ML used netlib-java to talk >>>> with native fortran routines or use NumPy, why not try to use R in some >>>> sense. >>>> >>>> R had lot of useful packages. If spark ML team can include R support, it >>>> will be a very powerful. >>>> >>>> Any comment? >>>> >>>> >>>> --------------------------------------------------------------------- >>>> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >>>> For additional commands, e-mail: user-h...@spark.apache.org >>>> >>> >>> > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
