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The main JRuby deployment scenario is usually that you want to create a WAR file and deploy it in a J2EE web container. GoldSpike provides this functionality for you in an easy package. You install Rails integration as a plug-in, and get hold of several Rake tasks, including war:standalone:create. By invoking these, you can package the complete Rails application inside a WAR file, which you can drop into Tomcat, Jetty, GlassFish, or any other compliant Java web container. GoldSpike automatically takes care of creating more runtimes to handle requests; it also uses the Java session store by default. This means that if your web container supports clustering or session affinity in the base system, your Rails application can take advantage of this too. Further, you can also configure lots of parameters, changing the default GoldSpike handling of requests, sessions, and which libraries should be added to the CLASSPATH. We ll take a closer look at GoldSpike later in the chapter, because this is the proper way to deploy most JRuby on Rails applications, giving you the full benefits of the Java platform.

With this code in place, showDialog(1) will work. Even if you were to invoke this method multiple times, your onCreateMethod will get called only once. You can follow the same protocol to redo the prompt dialog.

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When the creators of the GlassFish Application Server project needed a New Input/Output (NIO)-capable HTTP front end, they decided to create Grizzly. Grizzly is a framework that makes it easy for you to take advantage of some of the good things in the Java NIO libraries. A Rails integration service for Grizzly has been created, and can be installed as a Gem (called grizzly-rails). When installed, it lets you start Rails applications with the grizzly_rails command, much like mongrel_rails. The advantage over GoldSpike is that by using NIO and asynchronous sockets, Grizzly has the potential to perform much better for certain kinds of applications. GlassFish v3 currently ships with the Ruby on Rails libraries for Grizzly.

So responding to dialog callbacks is work, but the managed-dialog protocol adds even more work. After looking at the managed-dialog protocol, we got the idea to abstract out the protocol and rearrange it in such a way that it accomplishes two goals: Moving the dialog identification and creation out of the activity class Concentrating the dialog creation and response in a dedicated dialog class

produces the following:

AsyncWeb is a capable HTTP front end, written in Java. Its explicit purpose is to do away with traditional, blocking request processing and use a new asynchronous model to achieve much higher performance. This means that standard Java servlets doesn t run in it, but on the other hand you can write custom components for AsyncWeb that look much like their servlet counterparts. In 2006, Naoto Takai created Rails-asyncweb, which is an AsyncWeb servlet that wraps a JRuby runtime, handling Rails dispatching through it. The main advantage of using AsyncWeb for Rails deployment is much the same as with Grizzly: you do away with the compatibility layer and gain higher throughput with a massively scaling front end. Rails running through AsyncWeb has been shown to be between five to ten times as fast as alternatives. It is also easy to use: cd your-reals-app rails-asyncweb . If you need high performance, you should try AsyncWeb, and see if it meets your demands. You ll have to weigh the advantage of speed against using an unconventional web front end, which will be harder to handle in final deployment. For some people this tradeoff makes sense, and for others not.

In the next subsection, we will go through the design of this framework and then use it to re-create both the alert and prompt dialogs.

It can be argued that the right way to do SOA would be to use REST interfaces between small, focused applications. This would make it easier to have the different services communicate among one another, doing away with high-ceremony angle brackets. It also makes it easier for external clients, because they can choose which parts of the services they are interested in, and don t need to concern themselves with other resources or operations. It allows services to be more focused on the business logic while retaining (and improving) the flexibility of web services.

As you ve probably noticed, working with managed alert dialogs can become quite messy and can pollute the mainline code. If we abstract out this protocol into a simpler protocol, the new protocol could look like this: 1. Create an instance of a dialog you want by using new and keeping it as a local variable. Call this dialog1. 2. Show the dialog using dialog1.show(). 3. Implement one method in the activity called dialogFinished(). 4. In the dialogFinished() method, read attributes from dialog1 such as dialog1. getValue1(). Under this scheme, showing a managed alert dialog will look like this: .class MyActivity . { //new dialog ManagedAlertDialog

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