Microsoft Azure has an option to create a spark cluster with R Server. MS bought RevoScale (I think that was the name) and just recently deployed it.
On Wed, Jun 29, 2016 at 10:53 AM, Xinh Huynh <xinh.hu...@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....@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.lan...@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 >>> >>> >>> >> >> > -- John Aherne Big Data and SQL Developer [image: JustEnough Logo] Cell: Email: Skype: Web: +1 (303) 809-9718 john.ahe...@justenough.com john.aherne.je www.justenough.com Confidentiality Note: The information contained in this email and document(s) attached are for the exclusive use of the addressee and may contain confidential, privileged and non-disclosable information. If the recipient of this email is not the addressee, such recipient is strictly prohibited from reading, photocopying, distribution or otherwise using this email or its contents in any way.
