Duncan Temple Lang
duncan at wald.ucdavis.edu
Sun Aug 21 17:40:01 CEST 2005
Sean O'Riordain wrote:
> for very low bandwidth IPC I'd just use a standard web page form using
> a GET... so all you have to do is call a URL with the parameters
> embedded in the URL, e.g.
> If your bandwidth requirements are a bit higher then you have to start
> using POST which is a bit more complicated though... so at that stage
> I might use SOAP.
POST is not equivalent to SOAP. SOAP uses POST.
In order to avoid all the details dealing with HTTP requests
such as escaping characters, SSL, passwords, POST/GET, etc., it is simplest
to use something that already takes care of these.
The RCurl package (www.omegahat.org/RCurl) is in interface libcurl which takes care of
so many of these details. httpRequest (regular CRAN package) is implemented entirely
within R, but doesn't handle as many of these extra details.
> On 21/08/05, Nigel Sim <nigel.sim at jcu.edu.au> wrote:
> > Hi, I need to somehow make R communicate with another remote JAVA
> > process which provides compute services. I have control over the
> > communications protocol, but I would like to keep it to a standardised
> > protocol, such as SOAP, CORBA, etc.
> > What I would like to know is, what do other people use to do this? The
> > nature of the communications will be low bandwidth procedure calls, with
> > little data. (The data is stored in a DBMS). To date I have tried the
> > RCORBA and SSOAP packages. Corba I couldn't get to compile, and soap I
> > couldn't get to talk properly to soapanywhere (the embedded soap
> > implementation I am trialing).
> > I'm sure with persistence I can get both working, but I would like to
> > hear others experiences before I invest the time.
> > Thank you for your time.
> > --
> > Nigel Sim
> > PhD Candidate
> > School of Mathematics and Physical Sciences
> > James Cook University
> > +61 7 4781 4247
> > +61 409 277 641
> > ______________________________________________
> > R-devel at r-project.org mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-devel
> R-devel at r-project.org mailing list
Duncan Temple Lang duncan at wald.ucdavis.edu
Department of Statistics work: (530) 752-4782
371 Kerr Hall fax: (530) 752-7099
One Shields Ave.
University of California at Davis
Davis, CA 95616, USA
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