Re: R interpreters

[Sourav Mazumder <so...@gmail.com>]

Hi,

Is there a date/plan to integrate this PR to main branch of Zeppelin ?

I have found this to be very useful in sharing data/model's prediction
result between SparkR and R and then use visualization packages of R to
visualize the prediction results. Also demonstrated the same to many others
who also liked and found it useful.

Especially given that in Jupyter the data cannot be shared between R and
Spark without serializing/persisting the data, this feature is pretty much
differentiatior for Zeppelin. So wondering is there a plan/date for this PR
to be available in the main branch ?

Regards,
Sourav



On Thu, Dec 24, 2015 at 11:01 AM, Amos B. Elberg <am...@me.com> wrote:

> Yeah, I’ve looked into it a little bit :p
>
> rZeppelin (the one in repository Zeppelin-With-R) is an accepted pull
> request that is pending integration with Zeppelin.
>
> In an rZeppelin session, R shares the same Spark backend with the rest of
> the Zeppelin Spark-based interpreters.  That’s why multiple languages can
> share the same Spark data pipeline.
>
> Datalayer’s R interpreter is not integrated with the rest of Zeppelin.  It
> launches its own instance of Spark which is separate and distinct from the
> one being used by the rest of Zeppelin.
>
> rZeppelin also supports moving data between languages using the Zeppelin
> Context, which allows you to share variables with scala and python.
> Datalayer has their own implementation for moving variables between R and
> scala.
>
> rZeppelin supports interactive visualizations.  I don’t believe that
> Datalayer’s does.
>
> There are other differences as well.  This is explained in the rZeppelin
> readme.
>
>
> From: Girish Reddy <gi...@springml.com> <gi...@springml.com>
> Reply: users@zeppelin.incubator.apache.org
> <us...@zeppelin.incubator.apache.org>
> <us...@zeppelin.incubator.apache.org>
> Date: December 24, 2015 at 1:52:11 PM
> To: users@zeppelin.incubator.apache.org
> <us...@zeppelin.incubator.apache.org>
> <us...@zeppelin.incubator.apache.org>
> Subject:  R interpreters
>
> Hello:
>
> Looks like there are two R interpreters -
> https://github.com/datalayer/zeppelin-R and
> https://github.com/elbamos/Zeppelin-With-R
>
> From the docs, Zeppelin-With-R supports passing objects between languages
> using registerTempTable.  Not sure if the other interpreter supports it or
> what other differences are.  Has anyone looked into this?
>
>

Re: R interpreters

[enzo <en...@smartinsightsfromdata.com>]

+1 For R interpreter.  Soon please!

Incidentally, I wonder if it will display htmlwidgets family of packages as well?


Enzo
enzo@smartinsightsfromdata.com



> On 18 Jan 2016, at 06:53, Sourav Mazumder <so...@gmail.com> wrote:
> 
> Hi,
> 
> Is there a date/plan to integrate this PR to main branch of Zeppelin ?
> 
> I have found this to be very useful in sharing data/model's prediction result between SparkR and R and then use visualization packages of R to visualize the prediction results. Also demonstrated the same to many others who also liked and found it useful.
> 
> Especially given that in Jupyter the data cannot be shared between R and Spark without serializing/persisting the data, this feature is pretty much differentiatior for Zeppelin. So wondering is there a plan/date for this PR to be available in the main branch ?
> 
> Regards,
> Sourav
> 
> 
> 
> On Thu, Dec 24, 2015 at 11:01 AM, Amos B. Elberg <amos.elberg@me.com <ma...@me.com>> wrote:
> Yeah, I’ve looked into it a little bit :p
> 
> rZeppelin (the one in repository Zeppelin-With-R) is an accepted pull request that is pending integration with Zeppelin. 
> 
> In an rZeppelin session, R shares the same Spark backend with the rest of the Zeppelin Spark-based interpreters.  That’s why multiple languages can share the same Spark data pipeline. 
> 
> Datalayer’s R interpreter is not integrated with the rest of Zeppelin.  It launches its own instance of Spark which is separate and distinct from the one being used by the rest of Zeppelin.  
> 
> rZeppelin also supports moving data between languages using the Zeppelin Context, which allows you to share variables with scala and python.  Datalayer has their own implementation for moving variables between R and scala. 
> 
> rZeppelin supports interactive visualizations.  I don’t believe that Datalayer’s does. 
> 
> There are other differences as well.  This is explained in the rZeppelin readme. 
> 
> 
> From: Girish Reddy <gi...@springml.com> <ma...@springml.com>
> Reply: users@zeppelin.incubator.apache.org <ma...@zeppelin.incubator.apache.org> <us...@zeppelin.incubator.apache.org> <ma...@zeppelin.incubator.apache.org>
> Date: December 24, 2015 at 1:52:11 PM
> To: users@zeppelin.incubator.apache.org <ma...@zeppelin.incubator.apache.org> <us...@zeppelin.incubator.apache.org> <ma...@zeppelin.incubator.apache.org>
> Subject:  R interpreters 
> 
>> Hello:
>> 
>> Looks like there are two R interpreters - https://github.com/datalayer/zeppelin-R <https://github.com/datalayer/zeppelin-R> and https://github.com/elbamos/Zeppelin-With-R <https://github.com/elbamos/Zeppelin-With-R>
>> 
>> From the docs, Zeppelin-With-R supports passing objects between languages using registerTempTable.  Not sure if the other interpreter supports it or what other differences are.  Has anyone looked into this?
>> 
>