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CHAPTER 9 SCALING YOUR TEAM
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Giving Scala a Lift
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The Lift Web Framework has Comet support. That means that state change on the server side is immediately pushed to the browser. Lift s Comet support makes chat applications, multiuser games, and other browser-based applications trivial to write. Here s the entire code required to write a multi-user chat application in Lift:
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case class Messages(msgs: List[String]) object ChatServer extends Actor with ListenerManager { private var msgs: List[String] = Nil protected def createUpdate = Messages(msgs) override def highPriority = { case s: String if s.length > 0 => msgs ::= s updateListeners() } this.start } class Chat extends CometActor with CometListenee { private var msgs: List[String] = Nil def render = <div> <ul>{msgs.reverse.map(m => <li>{m}</li>)}</ul> {ajaxText("", s => {ChatServer ! s; Noop})} </div> protected def registerWith = ChatServer override def lowPriority = { case Messages(m) => msgs = m ; reRender(false) } }
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There s nothing magic about Lift s Comet support, but it would be much harder to do in Java.
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How Lift s Comet Support Works
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Lift has CometActors, which represent server-side state in a section of browser real estate. The real estate is demarcated by a <span> with a GUID. All Lift pages are rendered using Scala s built-in XML support. After the render phase, but before the page is streamed to the browser, Lift looks through the page to see whether the page contains HTML that points to any CometActors. If yes, Lift rewrites the XML and inserts JavaScript to do Comet-style long polling. After the page is loaded, the browser opens an XMLHTTPRequest to the server with the GUIDs of all the Comet components on the page along with the version number of each of the Comet components. The server receives the request and creates an Actor for each GUID, and each Actor registers itself as a listener with the appropriate Comet component. The registration includes the version number of the component as contained by the browser. If the servlet is running in Jetty or a Servlet 3.0 container, Lift automatically invokes the container s continuation mechanism so that the pending request is consuming no threads. It is consuming an NIO socket, and it s also consuming one Actor per Comet component on the page. When the Comet component receives the listener registration, it compares the version number with the current version number. If they differ, the Comet component immediately sends the Actor a message containing the diffs between the version that the Actor/ browser has and the current version of the Comet component. If the version number is current, the Comet component does nothing. If the Comet component receives a message and updates itself, it notifies the listener of the diff between the old version and the new version of the component. During the no changes phase, the only system resources being consumed are memory and an NIO connection. No threads or stacks are involved. When the Actor receives an update from the Comet component or after 110 seconds, the Actor creates a response to the Ajax request. It then invokes the continuation and sends the response to the browser (either JavaScript containing commands to perform the diffs or a Noop). The browser executes the JavaScript, waits 100 milliseconds, and restarts the process. I could have implemented all of this in Java. In fact, there is a Comet library that sits on top of Jetty and Dojo that has the same scaling characteristics. However, the amount of code to implement this scheme in Scala contains roughly the same number of characters as the above description. I m sure that would not be the case in Java.
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Summary
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Designing and building complex computer software is a very serious thing. Our livelihoods, and increasingly our whole society, depend on the stability and flexibility of our interconnected computer systems. Our cars and our banks and our grocery stores and our hospitals and our police departments all work better because they are interconnected by computer systems. Those systems run on the software that we write. In this book, I ve taken a very lighthearted approach to introducing you to the Scala programming language. I ve approached the daunting task of learning a new language and possibly a new set of programming patterns in a fun way. I hope that you have enjoyed the journey and are already thinking about new ways to reason about designing software and writing code. I want to end this journey by talking a bit about architecture. Architecture is very important in overall system performance and team performance. Scala has a lot of the tools that allow for much better architectural decisions. It s kind of a Zen and the Art of Motorcycle Maintenance thing you use the patterns that your language and its libraries make easiest. Scala makes it easier for coders to implement architecturally solid designs than does Java or Ruby. Thank you!
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