[R] multiple R sessions from one working directory using GNU screen

[Olga Lyashevska]

Thanks David,

I looked briefly through the bigmemory package and it looks very
promising. As I mentioned in my previous post to Steven I am calculating
distance matrices, and if it is my bottleneck (I am nearly sure it is) I
believe that the bigmemory will be particularly useful as it is designed
to manage massive matrices with shared memory and memory-mapped files. 
Now I will try to see how it can be implemented in my code.

Many thanks
Olga

On Wed, 2010-08-04 at 13:51 +0100, david.jessop at ubs.com wrote: 
> Olga
> 
> There was a presentation at the London R user group about doing what you
> ask using the bigmemory package
> (http://www.londonr.org/LondonR-20090331/realtimeR.pdf).  I believe you
> can do the same thing with ff.   This wouldn't share the whole workspace
> but just the objects you choose. 
> 
> Regards
> 
> David
> 
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
> On Behalf Of Steven McKinney
> Sent: 03 August 2010 21:05
> To: Olga Lyashevska; r-help at r-project.org
> Subject: Re: [R] multiple R sessions from one working directory using
> GNU screen
> 
> Dear Olga
> 
> An R session is conducted entirely in the RAM memory of your computer,
> and each invocation of R will have its own memory space, not shared with
> any other application, including another R session.
> 
> You will have to architect a scheme to allow one R session to find out
> about events and objects in another R session.  This might involve
> writing files to disk from session R1, having session R2 check the
> directory for new files every now and then, and so on.  (save.image()
> saves objects from one R session to a file on disk, but there can be
> other items in the saved file such as environments that are not
> straightforward to manipulate or investigate from another R session.)
> 
> Your situation is similar to cluster computing, where a task is broken
> up into independent pieces and each piece is handled by a separate R
> process.
> Reading about cluster computing with R might help you figure out
> strategies to share bits of data and information across multiple R
> sessions.
> 
> HTH
> 
> 
> Steven McKinney
> ________________________________________
> From: r-help-bounces at r-project.org [r-help-bounces at r-project.org] On
> Behalf Of Olga Lyashevska [olga at herenstraat.nl]
> Sent: August 3, 2010 8:04 AM
> To: r-help at r-project.org
> Cc: Olga Lyashevska
> Subject: [R] multiple R sessions from one working directory using GNU
> screen
> 
> Dear all,
> 
> I am using GNU screen to run multiple R sessions from one working
> directory in order to split task, however I noticed that dataset is not
> synchronized e.g. if I have two sessions R1 and R2, and I remove an
> object from R1, R2 doesn't change as expected or change at random.
> I have tried to save.image(), q() and then restart both sessions, but it
> does not help.
> 
> 
> Any suggestions?
> 
> Many thanks
> Olga
> 
> R version 2.11.1 (2010-05-31)
> 2010 x86_64 GNU/Linux
> Ubuntu 10.04.1 LTS
> Intel(R) Xeon(R) CPU X3220 @ 2.40GHz
> MemTotal: 4050180 kB
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 
> Issued by UBS AG or affiliates to professional investors for
> information only and its accuracy/completeness is not guaranteed.
> All opinions may change without notice and may differ to
> opinions/recommendations expressed by other business areas of UBS.
> UBS may maintain long/short positions and trade in instruments
> referred to. Unless stated otherwise, this is not a personal
> recommendation, offer or solicitation to buy/sell and any
> prices/quotations are indicative only. UBS may provide investment
> banking and other services to, and/or its employees may be directors
> of, companies referred to. To the extent permitted by law, UBS does
> not accept any liability arising from the use of this communication.
> 
>  \251 UBS 2010.  All rights reserved. Intended for recipient only and
> not for further distribution without the consent of UBS.
> 
> UBS Limited is a company registered in England & Wales under company
> number 2035362, whose registered office is at 1 Finsbury Avenue,
> London, EC2M 2PP, United Kingdom.
> 
> UBS AG (London Branch) is registered as a branch of a foreign company
> under number BR004507, whose registered office is at
> 1 Finsbury Avenue, London, EC2M 2PP, United Kingdom.
> 
> UBS Clearing and Execution Services Limited is a company registered
> in England & Wales under company number 03123037, whose registered
> office is at 1 Finsbury Avenue, London, EC2M 2PP, United Kingdom.
> 
> UBS reserves the right to retain all messages. Messages are protected
> and accessed only in legally justified cases.
>