how to run R as a daemon
I just visited the link you gave me. One of the problems that could
occur using NuSOAP is that I do not intend using Python. Thanks anyway.
I would also like to ask more precise questions :
- is it possible to run R as a standalone service, which runs in
background indefinitely, waiting for instructions ? This would be a
great improvement for me, since each time it is launched R has to
re-load a (constant) matrix generated thanks to a database connection
(takes a very long while)
- my R script is object-oriented; I define classes and methods, but I'm
not so sure about how methods should be declared; I usually write
something like :
mymethod <- function(.Object) UseMethod("mymethod",.Object);
setMethod("mymethod","myclass",
function(.Object)
{
# instructions
return(.Object);
}
);
Perhaps is this not the best way to write methods ? Could this explain
the following fact : when I run the script, R spends about 1/3 of its
thinking time creating the generic functions linked with my methods.
Isn't this wasted time ? The same script may be executed many times
consecutively by different users, and each time R has to re-define the
generic functions ! (are always the same)
I use R 1.6.2 on a Linux server (Red Hat - soon Debian)
Marsland, John wrote:
Why not run R as a separate process using the RSOAP package. You can then converse with R as a web service using the NuSOAP PHP class as described in the case of the Amazon example below: http://www.devshed.com/Server_Side/PHP/AmazonAPI/AmazonAPI1/page3.html John Marsland
-----Original Message----- From: Laurent Faisnel [mailto:laurent.faisnel at ariase.com] Sent: 19 May 2003 11:43 To: r-help at stat.math.ethz.ch Subject: [R] how to run R as a daemon Hi all, Using R a as a real-time application called by Php for a website, I would like to run one R process only, which would manage user connections. For the time each user who asks for an analysis causes a new R process to start, which is not suitable in prevision of many users. R needs about 30 seconds to run the script which makes the analysis. The problem is that this waiting time is n times more important when n users ask for an analysis... Thanks for any help. Laurent
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