Hi Juan,

Thanks for sharing. This looks very promising. A great way for people who
want to use R and Flink without compromising much on performance.

I would be curious about some cluster performance tests. Have you run any
yet?

Best,
max

https://bitbucket.org/allr/fastr-flink/src/71cf3f264a1faf98182781c9cdabef1b677a3bc6/README_FASTR_FLINK.md

Here are the supported operations from the Wiki:
Operations supported FastR operation Description flink.localApply(input,
func, scope=c("")) Blocking sapply function in R. It runs with local Flink
configuration flink.remoteApply(input, func, scope=c("")) Blocking remote
sapply. Remote enviroment flink.map(x, func, scope=c(""), local=FALSE)
Non-blocking sapply. It allows to use pattern composition. If LOCAL=FALSE,
it uses remote Flink configuration flink.connectToJobManager(ip) It
establishes the IP for remote execution flink.setParallelism(nThreads) Set
the number of threads/workers flink.readTextFile(path) Read HDFS file
flink.writeAsText(path) Write file into HDFS flink.flatMap(x, func,
scope=c("")) Non blocking flatMap in Flink flink.groupBy(object) GroupBy
previous operation (object) flink.sum(object) Sum previous operation
(object) flink.execute() It cosumes the operation pipeline defined
flink.collect(object) It consumes the pipeline and return the R result
flink.filter(object, func) Filter previous operation (only map supported)
according to the function passed as argument. This operation is
experimental.

On Mon, Oct 26, 2015 at 1:09 PM, Juan Fumero <
juan.jose.fumero.alfo...@oracle.com> wrote:

> Hi everyone,
>    we have just published a new open source Truffle project,
> FastR-Flink. It is available in https://bitbucket.org/allr/fastr-flink
>
> FastR is an implementation of the R language on top of Truffle and Graal
> [3] developed by Purdue University, Johannes Kepler University and
> Oracle Labs [1].
>
> FastR-Flink is fork of FastR project which includes Apache Flink [2]
> connection, allowing to execute distributed stream and batch data
> processing applications from R programming language by using FastR
> +Graal. This is a prototype we have been working on in Oracle Labs
> during my internship.
>
> See README_FASTR_FLINK in  https://bitbucket.org/allr/fastr-flink
> for more information about how to compile and start running FastR+Flink
> applications. I also included a directory with a few examples.
>
> Juan
>
> [1] FastR: https://bitbucket.org/allr/fastr
> [2] Apache Flink: https://flink.apache.org/
> [3] Graal: http://openjdk.java.net/projects/graal/
>
>

Reply via email to