As far as I am aware NuSOAP is pure PHP and not based on Python. The RSOAP server is based on Python. My understanding is that, if you want your R server to have some sort of longevity and manage lots of competing incoming requests or possibly to keep a session for one user over time, you will need to embed R into something capable of doing this. It could be a queue of some description or a database (there's an example using Postgres on the omegahat site) or a server of some sort (RSOAP uses python here for the things R doesn't have). You could even embed R in a PHP or an apache module, but as far as I am aware these don't yet exist yet and would require a fair bit of programming. R doesn't have an queue manager, but you could just leave R monitoring a port or a stdin and just refuse requests while the R session is busy - you run the risk of failing to satisfy some of your web requests. John Marsland
-----Original Message-----
From: Laurent Faisnel [mailto:laurent.faisnel at ariase.com]
Sent: 19 May 2003 13:22
To: Marsland, John
Cc: r-help at stat.math.ethz.ch
Subject: Re: [R] 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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