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To begin using Reactor, you need to download and install it. The best place to get Reactor is the Subversion repository. However, there are some zip files of the latest code made available both officially and unofficially. Instructions for downloading Reactor are available on the Reactor project site (http://trac.reactorframework.com). Once you ve downloaded Reactor, you ll be interested in three directories: /Documentation: This folder contains the Reactor documentation. At the moment, the documentation is incomplete, but it still contains a wealth of valuable information. If you get Reactor from Subversion, look under /Documentation/Documentation/!SSL!, as this is where RoboHelp places generated documentation. /ReactorSamples: This folder contains two sample applications: a Contact Manager sample inspired by the Mach-II and Model-Glue samples, and a more complex ReactorBlog sample, which is currently being run on DougHughes.net. /Reactor: This is the core framework itself. The simplest way to use Reactor is to extract the /Reactor folder into your web root. Alternatively, you could place Reactor outside your web root and create a mapping named /Reactor that points to the location of your /Reactor directory. That s all you need to do to install Reactor!

If you have a single server, then deployment failures are immediately obvious your site or service does not work. But with a web farm, it s possible to have a machine where, for one reason or another, a deployment or update does not work, and unless you test each and every machine after any change, you may not immediately pick up on it. You service may appear to function correctly when viewed from the load balancer, especially if your load balancer is attempting to keep connections with Keep-Alive on them routed to the same server. But another user may see random or permanent failures depending on which server he or she is connected to. Make sure that your deployment procedures include a step to check out each server independently. To that end, it is often a good idea to have a DNS entry mapped to each individual server (i.e., www1.example.com, www2.example.com) so that you can perform this validation step.

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To map a Perl DESTROY block to the destructor of a C++ class is possibly the simplest XSUB of all. We just write void MyClass::DESTROY() The xsubpp script will handle the rest.

The Inline module, which we mentioned briefly at the start of this chapter, is a convenient wrapper around the functionality of xsubpp and the C::Scan module that encapsulates the process of generating the XS file for us Better still, it allows us to place the C code bodily within a Perl source file rather than in a separate file Furthermore, we can embed almost any language if we install the appropriate support module By default, Inline automatically provides Inline::C, but we can add Inline::CPP to inline C++, Inline::Java to inline Java, Inline::Python to inline Python, and so on Each of these support modules implements the interface defined by the Inline module and provides support for a specific language The embedded code is compiled the first time the program is run, so we do not even need to have a make step to use it.

Here is a simple script that demonstrates one way we can inline C code: #!/usr/bin/perl # inlinefractionpl use strict; use warnings; use Inline C => qq[ int heavyfraction (int num1, int num2) { int result; if (num1 > num2) { result = num1 / num2; } else { result = num2 / num1; } return result; } ]; print heavyfraction(10,3); The first time we run this script, there will be a pause as Inline extracts the embedded code, determines the XSUB mappings to be generated for it, and passes the resulting sources to the underlying C compiler On subsequent invocations, the program will run at full speed, as the C has already been compiled Depending on how we want to organize the code, we can inline the C code in a variety of ways.

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