DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

The Latest Software Design and Architecture Topics

article thumbnail
Top 10 Interesting NetBeans IDE Java Shortcuts I Never Knew Existed
I'm working on updating the NetBeans IDE Keyboard Shortcut Card (which you can always find under the "Help" menu in the IDE) and have learned about a lot of shortcuts I never knew about before. Here's a grab bag of things I have added to the shortcut card (some new, some old that hadn't been included before) that you might find interesting too. Type "fcom" (without the quotes, same as all the rest below) and then press Tab. You now have this, i.e., a brand new code fold: // // Type "bcom" and then press Tab to create the start of a new set of comments in your code: /**/ Type "runn" and press Tab and you'll have all of this: Runnable runnable = new Runnable() { public void run() { } }; If I have this: String something = ""; ...and then below that type "forst" and press Tab, I now have this: String something = ""; for (StringTokenizer stringTokenizer = new StringTokenizer(something); stringTokenizer.hasMoreTokens();) { String token = stringTokenizer.nextToken(); } Also, experiment with "forc", "fore", "fori", "forl", and "forv"! I always knew that "sout" turns into "System.out.println("");" but did you know that (again assuming you first have a string something like above) if you type "soutv" you end up with this: System.out.println("something = " + something); Thanks Tom Wheeler for this tip. Next, here are the new shortcuts that are new from NetBeans IDE 6.9 onwards: as - assert=true; su - super db - double sh - short na - native tr - transient vo - volatile I knew that "ifelse" would resolve to an if/else block. But did you know that if you don't need an 'else', you can simply type "iff", press Tab, and then end up with this: if (exp) { } From NetBeans IDE 6.9 onwards, the "sw" shortcut expands to the following: switch (var) { case val: break; default: throw new AssertionError(); } If you're using while loops, experiment with "whileit", "whilen", and "whilexp". Always remember these: "im" expands to "implements; "ex" to "extends". Other tips along these lines are more than welcome here on NetBeans Zone!
February 19, 2010
by Geertjan Wielenga
· 98,031 Views · 4 Likes
article thumbnail
Electric Cloud's New Tools Avoid Unnecessary Builds
electric cloud has recently developed several unique capabilities for its software production suite, and now the company has built these technologies into the newest versions of their electricaccelerator and electriccommander products, which were released this week. electricaccelerator 5.0 has added two major features. the "electrify" feature can now parallel process virtually any software production task, and the new subbuild feature avoids unnecessary builds. electriccommander 3.5 features a new, extensible interface for managing and automating a shop's existing tool infrastructure. electricaccelerator 5.0 electricaccelerator speeds up make, nmake, microsoft visual studio, and apache ant based builds (by 10-20x the company says) by parallelizing them and running them on a computer cluster. accelerator 5.0 is the full debut of electric cloud's patented technology to safely speed up development tasks through its parallel processing via public or private compute clouds. originally, accelerator's parallel processing applied only to software builds, but now it applies to other tools and development tasks in the build-test-deploy cycle including parallel testing and data modeling. electrify creates an all-purpose private compute cloud for parallel processing, but parallel processing can also be done on desktops or a dedicated server. another innovative addition to accelerator is the subbuilds feature. first previewed in electric cloud's free spark build tool , subbuilds allow unnecessary build avoidance. subbuilds are able to skip large swaths of the build tree by building only the relevant pieces to the current work. the result is fewer broken builds and the ability to compile and test quickly and frequently without affecting the rest of the team. the dependency graph below shows the agent component (util, xml, http libraries, and the agent application code) as solid. sparkbuild can recognize that only this component needs to be rebuilt. electricaccelerator 5.0 now supports build tools such as msbuild and scons along with homegrown systems. teams that standardize on scons, for example, can use less hardware and provide faster builds than individual mutli-core servers by applying the benefits of centralization. the virtualization capabilities of accelerator also allow easier support for multiple configurations. electriccommander 3.5 electriccommander is a web-based application for defining and executing distributed processes in the build-test-deploy cycle. in a development environment using many disparate tools, commander 3.5 can remove the need to learn multiple interfaces, and it manages those tools from a central, custom ui. electriccommander 3.5 can be configured to extract and display data from the defect tracker, relevant build results, and test results. this lets build managers track the status of fixes and be notified when qa resolves the issue. the commander ui's custom, dynamic screens can help developers create and execute a build or test request using the right parameters. commander 3.5 can give developers a custom interface based on their role in the production cycle. 3.5 also provides tools to create custom plug-ins for third-party integrations. electriccommander job plotter to try out some of electricaccelerator's capabilities, download electric cloud's free sparkbuild tool.
February 17, 2010
by Mitch Pronschinske
· 11,592 Views
article thumbnail
Four Methods to Automate Development Environment Setup
There are at least four methods that can be used in different combinations to make the process of setting up a complete development environment a lot less painful.
February 16, 2010
by Mitch Pronschinske
· 31,878 Views
article thumbnail
Checkout Multiple Projects Automatically Into Your Eclipse Workspace With Team Project Sets
When working in Eclipse, you’ll often end up with a number of projects in your workspace that constitute an application. You could have a multi-tiered system with a web, server and database project and other miscellaneous ones. Or if you’re an Eclipse RCP developer, you could end up with dozens of plugins each represented by a project. Although multiple projects give you modularity (which is good), they can make it difficult to manage the workspace (which is bad). Developers have to check out each project individually from different locations in the repository. Sometimes they even have to get projects from multiple repositories. This is a painstakingly long and error-prone task. But an easier way to manage multiple projects is with Eclipse’s Team Project Sets (TPS). Creating a workspace becomes as easy as importing an XML file and waiting for Eclipse to do its job. Yes, there are other more sophisticated tools out there that do this and more (eg. Maven and Buckminster) but team project sets are a good enough start if you haven’t got anything set up and may be good enough for the longer term as well, depending on how your team works. Create a Team Project Set to share with other developers It’s easy to create a team project set (TPS). The first thing is to start with a workspace that already has all the projects checked out. Then it’s as easy as choosing File > Export > Team > Team Project Set, selecting the projects you want to export and then entering a file name. Done. But it’s always better to see it in action. In the video, I export 3 projects that I’ve already checked out from Subversion into a TPS file. Notes: You can select which projects should go into the TPS. This way you can exclude irrelevant or personal projects you’ve got in your workspace. Eclipse adds the extension .psf if you don’t provide one. The exported file is an XML file, with the default extension of psf, so in the video the file would be music.psf. There is a project entry for each project you exported that includes the project’s name and its repository location, separated by commas. Once created, the file is easy to edit so go ahead and make your own changes if you want to. Here is an example of what it looks like: svn/repo/music-application/trunk,music-application"/> svn/repo/music-db/trunk,music-db"/> svn/repo/music-web/trunk,music-web"/> Import the Team Project Set to checkout multiple projects into your workspace Now for the fun part. To import a team project set (TPS), start with any workspace (normally an empty one) and choose File > Import > Team > Team Project Set. Choose the TPS file that someone else kindly exported for you and then wait for Eclipse to do its magic. Notes: If you have an existing project in your workspace whose name matches a project in the TPS, Eclipse will prompt you whether you want to overwrite the project. I always choose No To All, since overwriting the project will mean you lose any changes you made to it. But if you have the urge to start from scratch then you can choose Yes. The import also creates a link to the repository in SVN Repositories, so you don’t have to do that. If one already exists, it will not duplicate it but reuse the existing connection. The process may take a while depending on the number of projects in the TPS and the speed of your repo checkouts. You can choose to run the import in the background (as I did in the video), giving you the opportunity to use Eclipse while the import happens. Otherwise, grab some coffee and wait for it to finish the checkouts. Gotcha: You may find that Eclipse 3.4 and lower may actually create a repository connection per project if the repository didn’t exist beforehand, which is not ideal. To solve this, create an initial repository root that’s shared by the projects and then do the import of the TPS. This problem has been fixed in 3.5 Managing the team project set and working with branches I’d recommend checking in the team project set into your repository and versioning/tagging it along with the rest of your code base. With each release you may be adding/removing projects and consequently updating the TPS, so it’s important that the TPS matches what the repo looks like at that point. As projects are added/removed with each release, you have 3 possibilities: Recreate the TPS from an existing workspace: Same as the steps above, but it means that whoever does the export needs to maintain an up to date workspace to reflect the current project structure. Modify an existing TPS with the new/deleted project: This entails adding/removing an entry from the PSF file. Not a lot of maintenance, but someone needs to remember to do this. Automatically create/update the TPS: You could write a script that somehow updates the TPS to reflect the new repo structure. For example, if you’re developing an Eclipse RCP application, the PDE Build provides a map file that could be used as input to create the PSF file. If you want to checkout a branch other than trunk, just open the PSF file and do a Find/Replace of trunk with your branch name. You could also introduce an automated process as part of your build/release scripts to update the TPS with the correct branch and check it back in automatically, but that’s really optional. From http://eclipseone.wordpress.com
February 13, 2010
by Byron M
· 23,008 Views
article thumbnail
How to Manage Keyboard Shortcuts in Eclipse and Why You Should
when i use eclipse i try and use shortcuts all the time. they really make me work faster and give me time to focus on getting the code out rather than slowing down to invoke ide commands with the mouse. because people work differently and on different things, it’s important to manage keyboard shortcuts to suit the way you work. so it’s good that eclipse makes it really easy to change shortcuts and also to view shortcuts for the commands you use a lot. i’ll discuss how to change keyboard shortcuts, how to avoid conflicts with existing ones, why it’s a good thing to manage shortcuts and then end off with some examples of common shortcuts that you should add to you arsenal. how do you manage keyboard shortcuts the main preference page can be found under window > preferences > general > keys (or faster: press ctrl+3 , type keys and press enter ). from here you can see all commands and assign/change their associated keyboard shortcuts. in the video, i’ll show you how to reassign a key. we’ll use this to assign ctrl+tab to switch to the next editor. notes: you don’t have to copy a command to assign/reassign a shortcut. i just prefer to keep the old shortcut in case someone else wants to take over my keyboard and expects the shortcut to work. all commands registered with eclipse are listed on the keys preference page. browse through them or search to see if your favourite command is listed. if it doesn’t have a shortcut assigned, then assign one immediately. the when dropdown on the dialog shows you in which context the command applies (eg. only when editing java source). you can assign the same shortcut to two different commands, but if the context differs eclipse will only execute the one command. i suggest you don’t change the context. notice that eclipse shows you which keys conflict with the selected one if their in the same context. but all the keys are already taken no, they’re not. firstly, if a key you like is already taken then be creative. use combos like ctrl+alt, alt+shift or even alt+shift+ctrl (easier to press then you think). these aren’t used as often as ctrl or ctrl+shift. you can sort by binding to see which keys are already used. secondly, eclipse allows you to assign a sequence of keystrokes to a command. eg. alt+shift+x, j (that’s used to run the current class as a java application) is invoked by pressing alt+shift+x, releasing the keys then pressing j. if you forgot your sequence shortcuts, just press the first part (eg. alt+shift+x), wait a second then eclipse helps you out by listing all commands that have this keystroke as the first part of the sequence. the list appears in the lower right corner of the window. this works for any commands assigned a sequence of keystrokes. here’s an example of what you might see when you press the first sequence of keystrokes (notice the list in the lower, right corner). tip: for custom commands you want to assign, use a well-known first keystroke to group your commands. for example, i use alt+shift+b (b for byron) as my grouping prefix. this way there are fewer conflicts with existing shortcuts and eclipse can show me a quick list if i forgot which keys i used. so why bother managing keyboard shortcuts managing keyboard shortcuts in eclipse is important because: not all eclipse commands have assigned shortcuts. a command you frequently use could be assigned a shortcut. eg. an svn commit is registered as an eclipse command but doesn’t have a keyboard shortcut assigned. assigning one yourself will speed up checking in changes. sometime eclipse gets it wrong. a good example is ctrl+f6 for switching editors – ctrl+tab is a much more sensible option since the keys are close together and doable with one hand. going through the list of shortcuts may give you ideas for working faster or even show you a command you didn’t know eclipse could do. but don’t shortcuts take a long time to learn? no ways! i often hear people complain that it takes too long to learn the shortcuts. i assure you that the 5 minutes it takes to learn the shortcut saves you hours, even days, of work over the months and years that you’ll be working on eclipse. here are some tips to get into and improve your keyboard usage: start by learning the shortcuts for the things you do often. are you using the mouse a lot to launch applications or select code? well, there’s a shortcut to launch apps and one to select code faster. keyboard shortcuts are often indicated next to menu items. note them and try to use them instead of reaching for the mouse. learn to punish yourself when you reach for the mouse by undoing your action and forcing yourself to use the keyboard. this seems counterproductive (and harsh) at first, but it forces your brain to rewire itself so you’ll favour the shortcuts instead of the mouse the next time. there is an eclipse plugin called mousefeed that shows you a keyboard alternative to a mouse click you performed. you can also configure it to cancel mouse clicks where a keyboard alternative is available, forcing you to use the keyboard in those instances. i don’t use it personally but what i’ve seen looks good. it’s definitely sounds like a good idea if you want to change your mousey ways and it relates nicely to my previous point. also keep this in mind: one of the easiest, surefire ways to work faster is to reduce the number of times you move your hands between the keyboard and mouse. the key is doing as much as possible with either one. for the mouse there are things like mouse gestures (if you’re on windows, try strokeit ). for the keyboard there are keyboard shortcuts and eclipse has hundreds of them ready to make your life easier (also see the excellent autohotkey for other ways to boost your keyboard usage). examples of useful keyboard shortcuts there are way too many shortcuts to list and you’ll come across the more useful ones in other tips . here are some you should get acquainted with at first and try to use all the time. shortcut action ctrl+1 quick fix list (for resolving errors/warnings) and also refactoring ctrl+space display the autocomplete list to select a relevant method/template, etc. ctrl+3 open quick access which allows you to run commands and navigate views and dialogs by searching for them, similar to launchy on windows or quicksilver on mac. ctrl+shift+r open any resource in the workspace, eg. xml file, class file, etc. ctrl+shift+t open a java type, eg. a class or interface. f3 go to the declaration of the method/class/variable f11/ctrl+f11 debug/run the last launched application (see this tip for more information) ctrl+alt+h display all methods that call a method (call hierarchy) f2 show javadoc for the current element (shift+f2 shows external javadoc) alt+up/down, alt+shift+down, ctrl+d move a line up/down, copy a line, delete a line (see this tip for more information) ctrl+/ comment/uncomment the current line or selected lines. you can be anywhere in the line, not necessarily at the beginning. you can press ctrl+shift+l to get a list of registered keyboard shortcuts in the lower right corner. but for a complete list, i prefer to go to the preference dialog as i can see all commands that are registered, even if they don’t have shortcuts registered from http://eclipseone.wordpress.com
February 12, 2010
by Byron M
· 36,629 Views
article thumbnail
JavaFX, Sockets and Threading: Lessons Learned
When contemplating how machine-dependent applications might communicate with Java/JavaFX, JNI or the Java Native Interface, having been created for just such a task, would likely be the first mechanism that comes to mind. Although JNI works just fine thank you, a group of us ultimately decided against using it for a small project because, among others: Errors in your JNI implementation can corrupt the Java Virtual Machine in very strange ways, leading to difficult diagnosis. JNI can be time consuming and tedious, especially if there's a varied amount of interchange between the Native and Java platforms. For each OS/Platform supported, a separate JNI implementation would need to be created and maintained. Instead we opted for something a bit more mundane, namely sockets. The socket programming paradigm has been around a long time, is well understood and spans a multitude of hardware/software platforms. Rather than spending time defining JNI interfaces, just open up a socket between applications and send messages back and forth, defining your own message protocol. Following are some reflections on using sockets with JavaFX and Java. For the sake of simplicity, we'll skip the native stuff and focus on how sockets can be incorporated into a JavaFX application in a thread safe manner. Sockets and Threading Socket programming, especially in Java, lends itself to utilizing threads. Because a socket read() will block waiting for input, a common practice is to place the read loop in a background thread enabling you to continue processing while waiting for input at the same time. And if you're doing this work entirely in Java, you'll find that both ends of the socket connection -- the "server" side and the "client" side -- share a great deal of common code. Recognizing this, an abstract class called GenericSocket.java was created which is responsible for housing the common functionality shared by "server" and "client" sockets including the setup of a reader thread to handle socket reads asynchronously. For this simple example, two implementations of the abstract GenericSocket class, one called SocketServer.java, the other called SocketClient.java have been supplied. The primary difference between these two classes lies in the type of socket they use. SocketServer.java uses java.net.ServerSocket, while SocketClient.java uses java.net.Socket. The respective implementations contain the details required to set up and tear down these slightly different socket types. Dissecting the Java Socket Framework If you want to utilize the provided Java socket framework with JavaFX, you need to understand this very important fact: JavaFX is not thread safe and all JavaFX manipulation should be run on the JavaFX processing thread.1 If you allow a JavaFX application to interact with a thread other than the main processing thread, unpredictable errors will occur. Recall that the GenericSocket class created a reader thread to handle socket reads. In order to avoid non-main-thread-processing and its pitfalls with our socket classes, a few modifications must take place. [1] Stolen from JavaFX: Developing Rich Internet Applications - Thanks Jim Clarke Step 1: Identify Resources Off the Main Thread The first step to operating in a thread safe manner is to identify those resources in your Java code, residing off the main thread, that might need to be accessed by JavaFX. For our example, we define two abstract methods, the first, onMessage(), is called whenever a line of text is read from the socket. The GenericSocket.java code will make a call to this method upon encountering socket input. Let's take a look at the SocketReaderThread code inside GenericSocket, to get a feel for what's going on. class SocketReaderThread extends Thread { @Override public void run() { String line; waitForReady(); /* * Read from from input stream one line at a time */ try { if (input != null) { while ((line = input.readLine()) != null) { if (debugFlagIsSet(DEBUG_IO)) { System.out.println("recv> " + line); } /* * The onMessage() method has to be implemented by * a sublclass. If used in conjunction with JavaFX, * use Entry.deferAction() to force this method to run * on the main thread. */ onMessage(line); } } } catch (Exception e) { if (debugFlagIsSet(DEBUG_EXCEPTIONS)) { e.printStackTrace(); } } finally { notifyTerminate(); } } Because onMessage() is called off the main thread and inside SocketReaderThread, the comment states that some additional work, which we'll explain soon, must take place to assure main thread processing. Our second method, onClosedStatus(), is called whenever the status of the socket changes (either opened or closed for whatever reason). This abstract routine is called in different places within GenericSocket.java -- sometimes on the main thread, sometimes not. To assure thread safety, we'll employ the same technique as with onMessage(). Step 2: Create a Java Interface with your Identified Methods Once identified, these method signatures have to be declared inside a Java interface. For example, our socket framework includes a SocketListener.java interface file which looks like this: package genericsocket; public interface SocketListener { public void onMessage(String line); public void onClosedStatus(Boolean isClosed); } Step 3: Create Your Java Class, Implementing Your Defined Interface With our SocketListener interface defined, let's take a step-by-step look at how the SocketServer class is implemented inside SocketServer.java. One of the first requirements is to import a special Java class which will allow us to do main thread processing, achieved as follows: import com.sun.javafx.runtime.Entry; Next, comes the declaration of SocketServer. Notice that in addition to extending the abstract GenericSocket class it also must implement our SocketListener interface too: public class SocketServer extends GenericSocket implements SocketListener { Inside the SocketServer definition, a variable called fxListener of type SocketListener is declared: private SocketListener fxListener; The constructor for SocketServer must include a reference to fxListener. The other arguments are used to specify a port number and some debug flags. public SocketServer(SocketListener fxListener, int port, int debugFlags) { super(port, debugFlags); this.fxListener = fxListener; } Next, let's examine the implementation of the two methods which are declared in the SocketListener interface. The first, onMessage(), looks like this: /** * Called whenever a message is read from the socket. In * JavaFX, this method must be run on the main thread and * is accomplished by the Entry.deferAction() call. Failure to do so * *will* result in strange errors and exceptions. * @param line Line of text read from the socket. */ @Override public void onMessage(final String line) { Entry.deferAction(new Runnable() { @Override public void run() { fxListener.onMessage(line); } }); } As the comment points out, the Entry.deferAction() call enables fxListener.onMessage() to be executed on the main thread. It takes as an argument an instance of the Runnable class and, within its run() method, makes a call to fxListener.onMessage(). Another important point to notice is that onMessage()'s String argument must be declared as final. Along the same line, the onClosedStatus() method is implemented as follows: /** * Called whenever the open/closed status of the Socket * changes. In JavaFX, this method must be run on the main thread and * is accomplished by the Entry.deferAction() call. Failure to do so * will* result in strange errors and exceptions. * @param isClosed true if the socket is closed */ @Override public void onClosedStatus(final Boolean isClosed) { Entry.deferAction(new Runnable() { @Override public void run() { fxListener.onClosedStatus(isClosed); } }); } Another Runnable is scheduled via Entry.deferAction() to run fxlistener.onClosedStatus() on the main thread. Again, onClosedStatus()'s Boolean argument must also be defined as final. Accessing the Framework within JavaFX With this work behind us, now we can integrate the framework into JavaFX. But before elaborating on the details, lets show screenshots of two simple JavaFX applications, SocketServer and SocketClient which, when run together, can send and receive text messages to one another over a socket. These JavaFX programs were developed in NetBeans and utilize the recently announced NetBeans JavaFX Composer tool. You can click on the images to execute these programs via Java WebStart. Note: depending upon your platform, your system may ask for permission prior to allowing these applications to network. Source for the JavaFX applications and the socket framework in the form of NetBeans projects can be downloaded here. Step 4: Integrating into JavaFX To access the socket framework within JavaFX, you must implement the SocketListener class that was created for this project. To give you a feel for how this is done with our JavaFX SocketServer application, here are some code excerpts from the project's Main.fx file, in particular the definition of our ServerSocketListener class: public class ServerSocketListener extends SocketListener { public override function onMessage(line: String) { insert line into recvListView.items; } public override function onClosedStatus(isClosed : java.lang.Boolean) { socketClosed = isClosed; tryingToConnect = false; if (autoConnectCheckbox.selected) { connectButtonAction(); } } } Sparing all of the gory details, the onMessage() method will place the line of text read from the socket in to a JavaFX ListView control which is displayed in the program user interface. The onClosedStatus() method primarily updates the local socketClosed variable and attempts to reconnect the socket if the autoconnect option has been selected. To demonstrate how the socket is created, we examine the connectButtonAction() function: var socketServer : SocketServer; ... public function connectButtonAction (): Void { if (not tryingToConnect) { if (socketClosed) { socketServer = new SocketServer(ServerSocketListener{}, java.lang.Integer.parseInt(portTextbox.text), javafx.util.Bits.bitOr(GenericSocket.DEBUG_STATUS, GenericSocket.DEBUG_IO)); tryingToConnect = true; socketServer.connect(); } } } Whenever the user clicks on the "Connect" button, the connectButtonAction() function will be called. On invocation, if the socket isn't already open, it will create a new SocketServer instance. Recognize also that the SocketServer constructor includes an instance of the ServerSocketListener class which was defined above. To round this out, when the user clicks on the "Disconnect" button, the disconnectButtonAction() function is called. When invoked, it tears down the SocketServer instance. function disconnectButtonAction (): Void { tryingToConnect = false; socketServer.shutdown(); } Conclusion Admittedly, there's a fair amount to digest here. Hopefully, by carefully reviewing the steps and looking at the complete code listing, this can serve as a template if you wish to accomplish something similar in JavaFX. From http://blogs.sun.com/jtc/
February 11, 2010
by Jim Connors
· 22,148 Views
article thumbnail
Promiscuous Integration vs. Continuous Integration
The emergence of version control systems makes both promiscuous and continuous integration merging techniques more attractive. Which is better?
February 10, 2010
by Martin Fowler
· 50,194 Views · 2 Likes
article thumbnail
Reloading Java Classes: Classloaders in Web Development — Tomcat, GlassFish, OSGi, Tapestry 5
In this article we’ll review how dynamic classloaders are used in real servers, containers and frameworks to reload Java classes and applications. We’ll also touch on how to get faster reloads and redeploys by using them in optimal ways. RJC101: Objects, Classes and ClassLoaders RJC201: How do ClassLoader leaks happen? RJC301: Classloaders in Web Development — Tomcat, GlassFish, OSGi, Tapestry 5 and so on RJC401: HotSwap and JRebel — what do they really do? RJC501: The impact of the redeploy phase on the development process AKA:Turnaround Java EE (web) applications In order for a Java EE web application to run, it has to be packaged into an archive with a .WAR extension and deployed to a servlet container like Tomcat. This makes sense in production, as it gives you a simple way to assemble and deploy the application, but when developing that application you usually just want to edit the application’s files and see the changes in the browser. A Java EE enterprise application has to be packaged into an archive with an .EAR extension and deployed to an application container. It can contain multiple web applications and EJB modules, so it often takes a while to assemble and deploy it. Recently, 1100+ EE developers told us how much time it takes them, and we compiled the results into the Redeploy and Restart Report. Spoiler: Avg redeploy & restart time is 2.5 minutes – which is higher than we expected. In Reloading Java Classes 101, we examined how dynamic classloaders can be used to reload Java classes and applications. In this article we will take a look at how servers and frameworks use dynamic classloaders to speed up the development cycle. We’ll use Apache Tomcat as the primary example and comment when behavior differs in other containers (Tomcat is also directly relevant for JBoss and GlassFish as these containers embed Tomcat as the servlet container). Redeployment To make use of dynamic classloaders we must first create them. When deploying your application, the server will create one classloader for each application (and each application module in the case of an enterprise application). The classloaders form a hierarchy as illustrated: In Tomcat each .WAR application is managed by an instance of the StandardContext class that creates an instance of WebappClassLoader used to load the web application classes. When a user presses “reload” in the Tomcat Manager the following will happen: StandardContext.reload() method is called The previous WebappClassLoader instance is replaced with a new one All reference to servlets are dropped New servlets are created Servlet.init() is called on them Calling Servlet.init() recreates the “initialized” application state with the updated classes loaded using the new classloader instance. The main problem with this approach is that to recreate the “initialized” state we run the initialization from scratch, which usually includes loading and processing metadata/configuration, warming up caches, running all kinds of checks and so on. In a sufficiently large application this can take many minutes, but in a in small application this often takes just a few seconds and is fast enough to seem instant, as commonly demonstrated in the Glassfish v3 promotional demos. If your application is deployed as an .EAR archive, many servers allow you to also redeploy each application module separately, when it is updated. This saves you the time you would otherwise spend waiting for non-updated modules to reinitialize after the redeployment. Hot Deployment Web containers commonly have a special directory (e.g. “webapps” in Tomcat, “deploy” in JBoss) that is periodically scanned for new web applications or changes to the existing ones. When the scanner detects that a deployed .WAR is updated, the scanner causes a redeploy to happen (in Tomcat it calls the StandardContext.reload() method). Since this happens without any additional action on the user’s side it is commonly referred to “Hot Deployment”. Hot Deployment is supported by all wide-spread application servers under different names: autodeployment, rapid deployment, autopublishing, hot reload, and so on. In some containers, instead of moving the archive to a predefined directory you can configure the server to monitor the archive at a specific path. Often the redeployment can be triggered from the IDE (e.g. when the user saves a file) thus reloading the application without any additional user involvement. Although the application is reloaded transparently to the user, it still takes the same amount of time as when hitting the “Reload” button in the admin console, so code changes are not immediately visible in the browser, for example. Another problem with redeployment in general and hot deployment in particular is classloader leaks. As we reviewed in Reloading Java Classes 201, it is amazingly easy to leak a classloader and quickly run out of heap causing an OutOfMemoryError. As each deployment creates new classloaders, it is common to run out of memory in just a few redeploys on a large enough application (whether in development or in production). Exploded Deployment An additional feature supported by the majority of web containers is the so called “exploded deployment”, also known as “unpackaged” or “directory” deployment. Instead of deploying a .WAR archive, one can deploy a directory with exactly the same layout as the .WAR archive: Why bother? Well, packaging an archive is an expensive operation, so deploying the directory can save quite a bit of time during build. Moreover, it is often possible to set up the project directory with exactly the same layout as the .WAR archive. This means an added benefit of editing files in place, instead of copying them to the server. Unfortunately, as Java classes cannot be reloaded without a redeploy, changing a .java file still means waiting for the application to reinitialize. With some servers it makes sense to find out exactly what triggers the hot redeploy in the exploded directory. Sometimes the redeploy will be triggered only when the “web.xml” timestamp changes, or as in the case of GlassFish only when a special ”.reload” file timestamp changes. In most servers any change to deployment descriptors or compiled classes will cause a hot redeploy. If your server only supports deploying by copying to a special directory (e.g. Tomcat “webapps”, JBoss “deploy” directories) you can skip the copying by creating a symlink from that special directory to your project workspace. On Linux and Mac OS X you can use the common “ln -s” command to do that, whereas on Windows you should download the Sysinternals “junction” utility. If you use Maven, then it’s quite complicated to set up exploded development from your workspace. If you have a solo web application you can use the Maven Jetty plugin, which uses classes and resources directly from Maven source and target project directories. Unfortunately, the Maven Jetty plugin does not support deploying multiple web applications, EJB modules or EARs so in the latter case you’re stuck doing artifact builds. Session Persistence Since we’re on the topic of reloading classes, and redeploying involves reinitializing an application, it makes sense to talk about session state. An HTTP session usually holds information like login credentials and conversational state. Losing that session when developing a web application means spending time logging in and browsing to the changes page – something that most web containers have tried to solve by serializing all of the objects in the HttpSession map and then deserializing them in the new classloader. Essentially, they copy all of the session state. This requires that all session attributes implement Serializable (ensuring session attributes can be written to a database or a file for later use), which is not restricting in most cases. Session persistence has been present in most major containers for many years (e.g. Restart Persistence in Tomcat), but was notoriously absent in Glassfish before v3. OSGi There is a lot of misunderstanding surrounding what exactly OSGi does and doesn’t do. If we ignore the aspects irrelevant to the current issue, OSGi is basically a collection of modules each wrapped in its own classloader, which can be dropped and recreated at will. When it’s recreated, the modules are reinitialized exactly the same way a web application is. The difference between OSGi and a web container is that OSGi is something that is exposed to your application, that you use to split your application into arbitrarily small modules. Therefore, by design, these modules will likely be much smaller than the monolithic web applications we are used to building. And since each of these modules is smaller and we can “redeploy” them one-by-one, re-initialization takes less time. The time depends on how you design your application (and can still be significant). Tapestry 5, RIFE & Grails Recently, some web frameworks, such as Tapestry 5, RIFE and Grails, have taken a different approach, taking advantage of the fact that they already need to maintain application state. They’ll ensure that state will be serializable, or otherwise easily re-creatable, so that after dropping a classloader, there is no need to reinitialize anything. This means that application developers use frameworks’ components and the lifecycle of those components is handled by the framework. The framework will initialize (based on some configuration, either xml or annotation based), run and destroy the components. As the lifecycle of the components is managed by the framework, it is easy to recreate a component in a new classloader without user intervention and thus create the effect of reloading code. In the background, the old component is destroyed (classloader is dropped) and a new one created (in a new classloader where the classes are read in again) and the old state is either deserialized or created based on the configuration. This has the obvious advantage of being very quick, as components are small and the classloaders are granular. Therefore the code is reloaded instantly, giving a smooth experience in developing the application. However such an approach is not always possible as it requires the component to be completely managed by the framework. It also leads to incompatibilities between the different class versions causing, among others, ClassCastExceptions. We’ve Covered a Lot – and simplified along the way It’s worth mentioning that using classloaders for code reloading really isn’t as smooth as we have described here – this is an introductory article series. Especially with the more granular approaches (such as frameworks that have per component classloaders, manual classloader dropping and recreating, etc), when you start getting a mixture of older and newer classes all hell can break loose. You can hold all kinds of references to old objects and classes, which will conflict with the newly loaded ones (a common problem is getting a ClassCastException), so watch what you’re doing along the way. As a side note: Groovy is actually somewhat better at handling this, as all calls through the Meta-Object Protocol are not subject to such problems. This article addressed the following questions: How are dynamic classloaders used to reload Java classes and applications? How do Tomcat, GlassFish (incl v3), and other servers reload Java classes and applications? How does OSGi improve reload and redeploy times? How do frameworks (incl Tapestry 5, RIFE, Grails) reload Java classes and applications? Coming up next, we continue our explanation of classloaders and the redeploy process with an investigation into HotSwap and JRebel, two tools used to reduce time spent reloading and redeploying. Stay tuned! From http://www.zeroturnaround.com/blog/
January 23, 2010
by Dave Booth
· 26,329 Views
article thumbnail
Struts 2 Tutorial: Create Struts 2 Application in Eclipse
Welcome to the Part 2 of 7-part series where we will explore the world of Struts 2 Framework. In we went through the basics of Struts2, its Architecture diagram, the request processing lifecycle and a brief comparison of Struts1 and Struts2. If you have not gone through the previous article, I highly recommend you to do that before starting hands-on today. Struts 2 Tutorial List Part 7: Struts 2 Ajax Tutorial with Example Related: Create Struts Application with Eclipse Things We Need Before we starts with our first Hello World Struts 2 Example, we will need few tools. JDK 1.5 above (download) Tomcat 5.x above or any other container (Glassfish, JBoss, Websphere, Weblogic etc) (download) Eclipse 3.2.x above (download) Apache Struts2 JAR files:(download). Following are the list of JAR files required for this application. commons-logging-1.0.4.jar freemarker-2.3.8.jar ognl-2.6.11.jar struts2-core-2.0.12.jar xwork-2.0.6.jar Note that depending on the current version of Struts2, the version number of above jar files may change. Our Goal Our goal is to create a basic Struts2 application with a Login page. User will enter login credential and if authenticated successfully she will be redirected to a Welcome page which will display message ”Howdy, …!“. If user is not authenticated, she will be redirected back to the login page. Getting Started Let us start with our first Struts2 based application. Open Eclipse and goto File -> New -> Project and select Dynamic Web Project in the New Project wizard screen. After selecting Dynamic Web Project, press Next. Write the name of the project. For example StrutsHelloWorld. Once this is done, select the target runtime environment (e.g. Apache Tomcat v6.0). This is to run the project inside Eclipse environment. After this press Finish. Once the project is created, you can see its structure in Project Explorer. Now copy all the required JAR files in WebContent -> WEB-INF -> lib folder. Create this folder if it does not exists. Mapping Struts2 in WEB.xml As discussed in the previous article (Introduction to Struts2), the entry point of Struts2 application will be the Filter define in deployment descriptor (web.xml). Hence we will define an entry of org.apache.struts2.dispatcher.FilterDispatcher class in web.xml. Open web.xml file which is under WEB-INF folder and copy paste following code. Struts2 Applicationstruts2org.apache.struts2.dispatcher.FilterDispatcherstruts2/*Login.jsp The above code in web.xml will map Struts2 filter with url /*. The default url mapping for struts2 application will be /*.action. Also note that we have define Login.jsp as welcome file. The Action Class We will need an Action class that will authenticate our user and holds the value for username and password. For this we will create a package net.viralpatel.struts2 in the source folder. This package will contain the action file. Create a class called LoginAction in net.viralpatel.struts2 package with following content. package net.viralpatel.struts2;public class LoginAction {private String username;private String password;public String execute() {if (this.username.equals("admin")&& this.password.equals("admin123")) {return "success";} else {return "error";}public String getUsername() {return username;}public void setUsername(String username) {this.username = username;}public String getPassword() {return password;}public void setPassword(String password) {this.password = password;} Note that, above action class contains two fields, username and password which will hold the values from form and also contains an execute() method that will authenticate the user. In this simple example, we are checking if username is admin and password is admin123. Also note that unlike Action class in Struts1, Struts2 action class is a simple POJO class with required attributes and method. The execute() method returns a String value which will determine the result page. Also, in Struts2 the name of the method is not fixed. In this example we have define method execute(). You may want to define a method authenticate() instead. The ResourceBundle ResourceBundle is very useful Java entity that helps in putting the static content away from the source file. Most of the application define a resource bundle file such as ApplicationResources.properties file which contains static messages such as Username or Password and include this with the application. ResourceBundle comes handy when we want to add Internationalization (I18N) support to an application. We will define an ApplicationResources.properties file for our application. This property file should be present in WEB-INF/classes folders when the source is compiled. Thus we will create a source folder called resources and put the ApplicationResources.properties file in it. To create a source folder, right click on your project in Project Explorer and select New -> Source Folder. Specify folder name resources and press Finish. Create a file ApplicationResources.properties under resources folder. Copy following content in ApplicationResources.properties. label.username= Usernamelabel.password= Passwordlabel.login= Login The JSP We will create two JSP files to render the output to user. Login.jsp will be the starting point of our application which will contain a simple login form with username and password. On successful authentication, user will be redirected to Welcome.jsp which will display a simple welcome message. Create two JSP files Login.jsp and Welcome.jsp in WebContent folder of your project. Copy following content into it. Login.jsp Struts 2 - Login Application Welcome.jsp Howdy, ...! Note that we have used struts2 tag to render the textboxes and labels. Struts2 comes with a powerful built-in tag library to render UI elements more efficiently. The struts.xml file Struts2 reads the configuration and class definition from an xml file called struts.xml. This file is loaded from the classpath of the project. We will define struts.xml file in the resources folder. Create file struts.xml in resources folder. Copy following content into struts.xml. Welcome.jspLogin.jsp Note that in above configuration file, we have defined Login action of our application. Two result paths are mapped with LoginAction depending on the outcome of execute() method. If execute() method returns success, user will be redirected to Welcome.jsp else to Login.jsp. Also note that a constant is specified with name struts.custom.i18n.resources. This constant specify the resource bundle file that we created in above steps. We just have to specify name of resource bundle file without extension (ApplicationResources without .properties). Our LoginAction contains the method execute() which is the default method getting called by Sturts2. If the name of method is different, e.g. authenticate(); then we should specify the method name in tag. Almost Done We are almost done with the application. You may want to run the application now and see the result yourself. I assume you have already configured Tomcat in eclipse. All you need to do: Open Server view from Windows -> Show View -> Server. Right click in this view and select New -> Server and add your server details. To run the project, right click on Project name from Project Explorer and select Run as -> Run on Server (Shortcut: Alt+Shift+X, R) But there is one small problem. Our application runs perfectly fine at this point. But when user enters wrong credential, she is redirected to Login page. But no error message is displayed. User does not know what just happened. A good application always show proper error messages to user. So we must display an error message Invalid Username/Password. Please try again when user authentication is failed. Final Touch To add this functionality first we will add the error message in our ResourceBundle file. Open ApplicationResources.properties and add an entry for error.login in it. The final ApplicationResources.properties will look like: label.username= Usernamelabel.password= Passwordlabel.login= Loginerror.login= Invalid Username/Password. Please try again. Also we need to add logic in LoginAction to add error message if user is not authenticated. But there is one problem. Our error message is specified in ApplicationResources.properties file. We must specify key error.login in LoginAction and the message should be displayed on JSP page. For this we must implement com.opensymphony.xwork2.TextProvider interface which provides method getText(). This method returns String value from resource bundle file. We just have to pass the key value as argument to getText() method. The TextProvider interface defines several method that we must implement in order to get hold on getText() method. But we don’t want to spoil our code by adding all those methods which we do not intend to use. There is a good way of dealing with this problem. Struts2 comes with a very useful class com.opensymphony.xwork2.ActionSupport. We just have to extend our LoginAction class with this class and directly use methods such as getText(), addActionErrors() etc. Thus we will extend the LoginAction class with ActionSupport class and add the logic for error reporting into it. The final code in LoginAction must look like: package net.viralpatel.struts2;import com.opensymphony.xwork2.ActionSupport;public class LoginAction extends ActionSupport {private String username;private String password;public String execute() {if (this.username.equals("admin")&& this.password.equals("admin123")) {return "success";} else {addActionError(getText("error.login"));return "error";}public String getUsername() {return username;}public void setUsername(String username) {this.username = username;}public String getPassword() {return password;}public void setPassword(String password) {this.password = password;} And that’s it. Our first Hello World Struts2 Application is now ready. That’s All Folks Execute the application in Eclipse and run it in your favorite browser. Login page Welcome page Login page with error Download Source Code Click here to download Source Code without JAR files (9KB). Moving On Now that we have created our first webapp using Struts2 framework, we know how the request flows in Struts2. We also know the use of struts.xml and properties file. In this application we implemented a preliminary form of validation. In we will learn more about Validation Framework in Struts2 and implement it in our example. Original article: http://viralpatel.net/blogs/2009/12/tutorial-create-struts-2-application-eclipse-example.html
January 15, 2010
by Viral Patel
· 289,914 Views
article thumbnail
Groovy AST Transformations by Example: Adding Methods to Classes
What can you do with a Groovy AST Transformation? A difficult question, considering the answer is "almost anything".
January 8, 2010
by Hamlet D'Arcy
· 46,469 Views
article thumbnail
Java Content Repository: The Best Of Both Worlds
Learn the basics of Java Content Repositories, including how they work, and how they're used.
January 4, 2010
by Bertrand Delacretaz
· 144,769 Views · 5 Likes
article thumbnail
Spring Integration and Apache Camel
Spring Integration and Apache Camel are open source frameworks providing a simpler solution for the Integration problems in the enterprise, to quote from their respective websites: Apache Camel - Apache Camel is a powerful open source integration framework based on known Enterprise Integration Patterns with powerful Bean Integration. Spring Integration - It provides an extension of the Spring programming model to support the well-known Enterprise Integration Patterns while building on the Spring Framework's existing support for enterprise integration. Essentially Spring Integration and Apache Camel enable applications to integrate with other systems. This article seeks to provide an implementation for an integration problem using both Spring Integration and Apache Camel. The objective is to show how easy it is to use these frameworks for a fairly complicated integration problem and to recommend either of these great products for your next Integration challenge. Problem: To illustrate the use of these frameworks consider a simple integration scenario, described using EIP terminology: The application needs to get a "Report" by aggregating "Sections" from a Section XML over http service. Each request for Report consists of a set of request for sections – in this specific example there are requests for three sections, the header, body and footer. The XML over http service returns a Section for the Section Request. The responses need to be aggregated into a single report. A sample test for this scenario is of the following type: ReportGenerator reportGenerator = reportGeneratorFactory.createReportGenerator(); List sectionRequests = new ArrayList(); String entityId="A Company"; sectionRequests.add(new SectionRequest(entityId,"header")); sectionRequests.add(new SectionRequest(entityId,"body")); sectionRequests.add(new SectionRequest(entityId,"footer")); ReportRequest reportRequest = new ReportRequest(sectionRequests); Report report = reportGenerator.generateReport(reportRequest); List sectionOfReport = report.getSections(); System.out.println(report); assertEquals(3, sectionOfReport.size()); The “ReportGenerator” is the messaging gateway, hiding the details of the underlying messaging infrastructure and in this specific case also the integration API – Apache Camel or Spring Integration. To start with, let us implement a solution to this integration problem using Spring Integration as the Framework, followed by Apache Camel. The complete working code using Spring Integration and Apache Camel is also available with the article. Solution Using Spring Integration: The Gateway component is easily configured using the following entry in the Spring Configuration. Internally Spring Integration uses AOP to hook up a component which routes the requests from an internal input channel and waits for the response in the response channel. The component to Split the Input Report Request to Section Request is fairly straightforward: public class SectionRequestSplitter { public List split(ReportRequest reportRequest){ return reportRequest.getSectionRequests(); } } and to hook this splitter with Spring Integration: Next, to transform the Section Request to an XML format - The component is the following: public class SectionRequestToXMLTransformer { public String transform(SectionRequest sectionRequest){ //this needs to be optimized...purely for demonstration of the concept String sectionRequestAsString = "" + sectionRequest.getEntityId() + "" + sectionRequest.getSectionId() + ""; return sectionRequestAsString; } } and is hooked up in the Spring Integration configuration file in the following way: To send an XML over http request using the Section Request XML to a section Service: To transform the Section Response XML to a Section Object - The component is the following: public class SectionResponseXMLToSectionTransformer { public Section transform(String sectionXML) { SAXReader saxReader = new SAXReader(); Document document; String sectionName = ""; String entityId = ""; try { document = saxReader.read(new StringReader(sectionXML)); sectionName = document .selectSingleNode("/section/meta/sectionName").getText(); entityId = document.selectSingleNode("/section/meta/entityId") .getText(); } catch (DocumentException e) { e.printStackTrace(); } return new Section(entityId, sectionName, sectionXML); } } and is hooked up in the Spring Integration configuration file in the following way: To aggregate the Sections together into a report, the component is the following:: public class SectionResponseAggregator { public Report aggregate(List sections) { return new Report(sections); } } and is hooked up in the Spring Integration configuration file in the following way: This completes the Spring Integration implementation for this Integration Problem. The following is the complete Spring Integration configuration file: A working sample is provided with the article(Download, extract and run "mvn test") Solution using Apache Camel: Apache Camel allows the route to be defined using multiple DSL implementations – Java DSL, Scala DSL and an XML based DSL. The recommended approach is to use Spring CamelContext as a runtime and the Java DSL for route development. The following is to build the Spring Camel Context: The route is configured by the Java based DSL: public class CamelRouteBuilder extends RouteBuilder { private String serviceURL; @Override public void configure() throws Exception { from("direct:start") .split().method("sectionRequestSplitterBean", "split") .aggregationStrategy(new ReportAggregationStrategy()) .transform().method("sectionRequestToXMLBean", "transform") .to(serviceURL) .transform().method("sectionResponseXMLToSectionBean", "transform"); } public void setServiceURL(String serviceURL) { this.serviceURL = serviceURL; } } Apache Camel does not provide an out of the box Message Gateway feature, however it is fairly easy to create a wrapper component that can hide the underlying details in the following way: Reader davsclaus has provided references to two mechanisms with Apache Camel to provide an out of the box Messaging Gateway - Messaging Gateway EIP and Camel Proxy which allows a POJO to be used as a Mesaging Gateway. Camel Proxy will be used with the article, and can be configured in the Camel Configuration files in the following way: Per davsclaus, there is a bug in Apache Camel(2.1 or older) when invoking a bean later in the route(the splitter bean), which is to be fixed in Apache Camel 2.2. To work around this bug, a convertBody step will be introduced in the route: from("direct:start") .convertBodyTo(ReportRequest.class) .split(bean("sectionRequestSplitterBean", "split"), new ReportAggregationStrategy()) .transform().method("sectionRequestToXMLBean", "transform") .to(serviceURL) .transform().method("sectionResponseXMLToSectionBean", "transform"); The component to Split the Input Report Request to Section Request is exactly same as Spring Integration component: public class SectionRequestSplitter { public List split(ReportRequest reportRequest){ return reportRequest.getSectionRequests(); } } To hook the component with Apache Camel: from("direct:start") .split().method("sectionRequestSplitterBean", "split") .... Next to transform the Section Request to an XML format, again this is exactly same as the implementation for Spring Integration, with hook being provided in the following manner: ...... .transform().method("sectionRequestToXMLBean", "transform") ...... To send an XML over http request using the Section Request XML to a section Service: ...... .transform().method("sectionRequestToXMLBean", "transform") .to(serviceURL) ......... To transform the Section Response XML to a Section object, the component is exactly same as the one used with Spring Integration, with the following highlighted hook in the Camel route: ...... .transform().method("sectionResponseXMLToSectionBean", "transform"); To aggregate the Section responses together into a report, the component is a bit more complicated than Spring Integration. Apache Camel supports a Scatter/Gather pattern using a route of the following type: ...... .split().method("sectionRequestSplitterBean", "split") .aggregationStrategy(new ReportAggregationStrategy()) with an aggregation strategy being passed on to the Splitter, the aggregation strategy implementation is the following: public class ReportAggregationStrategy implements AggregationStrategy { @Override public Exchange aggregate(Exchange oldExchange, Exchange newExchange) { if (oldExchange == null) { Section section = newExchange.getIn().getBody(Section.class); Report report = new Report(); report.addSection(section); newExchange.getIn().setBody(report); return newExchange; } Report report = oldExchange.getIn().getBody(Report.class); Section section = newExchange.getIn().getBody(Section.class); report.addSection(section); oldExchange.getIn().setBody(report); return oldExchange; } } This completes the Apache Camel based implementation. A working sample for Camel is provided with the article - just download, extract and run "mvn test". Conclusion: Spring Integration and Apache Camel provide a simple and clean approach for the Integration problems in a typical enterprise. They are lightweight frameworks – Spring Integration builds on top of Spring portfolio and extends the familiar programming model for the Integration domain and is easy to pick up, Apache camel provides a good Java based DSL and integrates well with Spring Core, with a fairly gentle learning curve. The article does not recommend one product over the other but encourages the reader to evaluate and learn from both these frameworks. References: Spring Integration Website: http://www.springsource.org/spring-integration Apache Camel Website: http://camel.apache.org/ Spring Integration Reference: http://static.springsource.org/spring-integration/reference/htmlsingle/spring-integration-reference.html Apache Camel User Guide: http://camel.apache.org/user-guide.html Plug for my blog: http://biju-allandsundry.blogspot.com/
December 31, 2009
by Biju Kunjummen
· 102,313 Views · 3 Likes
article thumbnail
How to Create a Java EE 6 Application with JSF 2, EJB 3.1, JPA, and NetBeans IDE 6.8
Develop a web-based app based on technologies in the JEE6 specs such as Enterprise Java Beans 3.1 and JPA with the help of NetBeans IDE 6.8.
December 29, 2009
by Christopher Lam
· 723,426 Views · 3 Likes
article thumbnail
We’re not Japanese and we don’t build cars
In 1979 a group of western dignitaries visited Japan to learn more about the manufacturing models that had been applied to great success. Konosuke Matsushita, the president of Matsushita Corporation (Panasonic, Legend, Technics etc.), opened his talk with the famous statement…. “We are going to win and the industrial west is going to lose: there’s nothing much you can do about it, because the reasons for your failure are within yourselves. Your firms are built on the Taylor model; even worse, so are your heads. For you, the essence of management is getting the ideas out of the heads of the bosses and into the hands of labour. We are beyond the Taylor model.”. This leads to two questions: What did Matsushita-san mean by this bold statement?... and why did his visitors deserve such a warm welcome?! To understand Matsushita-san’s point we need to take a brief look at the history of management science. Prior to the Industrial Revolution in the 1830’s, businesses were small-scale, intimate affairs, consisting of a limited number of individuals. To look at the management of large numbers of people prior to this point requires the study of governments and armies. During the early 1800’s technological advances led to the rise of larger industrial enterprises. Factories emerged to produce goods at a larger scale and at lower costs than traditional cottage industries. Cue the entrance of Frederick Winslow Taylor to our story. Taylor was a mechanical engineer who was fascinated with industrial efficiency. He is regarded as being one of the founding fathers of management science and wrote a book on ‘Scientific Management’1. Taylor’s industrial models separated ‘working’ from ‘doing’; he believed that it was the role of management to determine the ‘one best way’ to perform the work… “It is only through enforced standardisation of methods, enforced adoption of the best implements and working conditions and enforced cooperation that this faster work can be assured. And the duty of enforcing the adoption of standards and enforcing this cooperation rests with management alone.”. When Henry Ford set about his mission to revolutionise mass transportation in the early 1900’s, he turned to the latest management thinking to make his dream a reality. Ford created a business of such scale and effectiveness that it must have seemed to his competitors and peers analogous to turning up to the proverbial knife fight with an F-14. He progressed from building a handful of vehicles in 1909 to over 500,000 units just six years later, inventing all of the technology he needed to do it along the way. The success of Henry Ford, and later Alfred Sloan at General Motors, led to a cascade in management thinking. The Taylor model that Ford and Sloan had applied to such great success became the archetypal model for the western corporation in the 20th century. Cut to 1947… The Second World War has ended and Japanese industry has been decimated by two atomic bombs: one at Hiroshima, the other at Nagasaki. The allies, keen to support the redevelopment efforts in Japan, send over a party of management consultants to help with the work required to rebuild industry. Amongst them is William Edwards Deming, a statistician and management theorist whose philosophies had been largely ignored at home. Deming, in contrast to Taylor, believed that ‘thinking’ and ‘doing’ should not be separated, and further, employees should be encouraged and empowered to make decisions on how work should be performed. “All anyone asks for is a chance to work with pride.”. While Deming had been largely ignored in the US, the Japanese got religion. In particular organisations like Toyota and Matsushita built organisational philosophies around empowerment, teamwork and collaboration. They went from some of the worst performing businesses in the country to the strongest. By the late 1970’s world governments were looking to these emerging giants to understand what made them so successful, and in particular, so resilient. It was at this point in 1979 that Matsushita-san delivered his famous speech to western industrial leaders keen to learn the secrets of Japan’s success. It was not until 1991 that the world began to understand the power of the management systems that had been developed in Japan. A book2 was published following a study by MIT’s automotive industry research programme. The book studied the history of the automotive industry and the rise and rise of the mighty Toyota Motor Corporation; the term used to describe Toyota’s secret sauce? Lean Thinking. What Konosuke Matsushita, Toyota’s Taichi Ohno and their contemporaries understood was that the key to the success of their businesses didn’t lie in their tools, techniques, or processes, but was the result of the management philosophies that underpinned their corporations. They thought about their businesses as socio-technical systems and because of this created organisations that encouraged the right behaviours throughout. So, what does this have to do with IT? Firstly we have to recognise that IT is failing. Standish Group estimate that $85B to $145B is spent every year on failed and cancelled IT projects, and that 60% to 70% of all projects either fail outright or are considered troubled (time, cost, scope issues)3. This is a repeated pattern; we can change the country, the industry, the people and the business; the data shows a similar pattern – the problem is systemic. To solve this kind of systemic problem we need to investigate the system more closely and understand the ‘games’ that are being played out within our IT divisions. But what are the components of our IT ecosystem? When we lift the hood, there are a few areas of focus for us to investigate: people, structure, process, culture and technology. The first thing that we may notice about our corporate IT divisions is how little they differ to the Taylorised models Henry Ford and Alfred Sloan built their businesses around 100 years ago. They are structured around functional silo’s, management philosophies are command and control and empowerment is just a word that appears on corporate mouse mats. They are structured for an industrial paradigm in an information age. To make matters worse, most IT managers aspire to create self-managed teams, high levels of collaboration, innovation and continuous improvement. Many have little appreciation that the management models that they enforce, often the only ones that they know, are the very things that are preventing them from achieving the results that they dream of. So how do we change things? Firstly, it’s important to understand the differences in the two management philosophies, as the contrast is stark. For example, where Taylor’s ‘scientific management’ teaches us that managers should manage people, systems management theory teaches us that managers should manage processes. ‘Scientific management’ advocates for maximising the utilisation of our people and machinery, ‘systems management theory’ teaches us to ruthlessly eliminate waste. Although the transition is anything but easy, the results, at least so far, appear impressive. At a recent conference, Jeff Smith, CIO of Suncorp’s 2000 person IT division, estimated that they had increased throughput by over 40% whilst at the same time reducing net operating costs by over 20%4. Similarly, the BBC’s David Joyce announced in a recent article that they had reduced the time taken to engineer a software feature by over 50%5. These organisations are re-engineering many of the components of the IT taxonomy. By taking Agile software principles and introducing statistical control and scheduling techniques from Lean Thinking, teams are radically improving the efficiency and throughput of software delivery processes. They aren’t stopping here though. Product development is being refined to ensure the teams aren’t ‘building the wrong things at speeds previously thought impossible’. Planning and governance processes are being simplified to support responsiveness and adaptability in the business. Even the organisational structure itself isn’t sacred, with some of the more progressive IT divisions moving away from a top-down, hierarchical design, towards a systems based, bottom-up model, removing organisational silo’s to increase collaboration and introduce a stronger customer focus. The real change for these organisations isn’t in the structure, processes or tools of course, but in something much more subtle and complex: the way they think. Changing 100 years of western management thinking is not a simple task but industrial models just don’t cut it in an information age. Deming taught us that the processes and structures we create as leaders always produce exactly the results they are designed to produce; the system always works perfectly. In IT we have created approaches that fail (or have difficulties) 60% to 70% of the time. It’s our responsibility as leaders to change the system. This leads to the title of the article. The most common excuse I hear for avoiding change and improvement in IT leadership is that we’re not Japanese and we don’t build cars. I hear this excuse every day and it misses the point. Lean Thinking, and the management paradigm that underpins it, Systems Management Theory, focus on changing the role of leadership; it knows no national or industrial bounds, and this has been proven time again over the last 30 years, from manufacturing to healthcare. IT leadership is once again lagging behind the management curve. To re-enforce the point even further, a recent article in the Harvard Business Review6 asked some of the worlds leading academic and industrial business thinkers for the big ticket changes required in western management thinking over the next 10 years. Retraining managerial minds in systems thinking appeared in it’s top 25. Also in there was reducing the pull of the past, eliminating the pathologies of formal hierarchy and reconstructing management’s philosophical foundations. This is nothing new – management science has pointed towards collaboration, teamwork and trust for over 30 years. But mouthing the words is easy; Systems Management Theory gives us the tools to go execute. Introducing this paradigm shift, although not an easy journey, has certainly been proven achievable. Agile software development methods, based on the Toyota Production System, help us to quickly introduce Lean concepts to our software development operations. Statistical control techniques can help us improve and refine them. Recently, Lean concepts have helped scale these working-level techniques to the enterprise by borrowing philosophies, tools and techniques to solve historic problems with structure, budgeting and governance in top-down, command and control organisations. And middle management are proving willing to change, and even lead the charge, given the right leadership, support and opportunities. Driving change is hard. I often compare being a CIO to the job of a grounds keeper in a cemetery; there are a lot of people underneath you but no-one is listening. Of course, we don’t have to strive to improve the problem; I’ll leave the last word to Deming himself… “It’s not necessary to change. Survival is not mandatory.”. 1. The Principles of Scientific Management: Frederick Winslow Taylor. 2. The Machine That Changed The World: Womack, Jones, Roos. 3. Standish Chaos Reports 2000 to 2009. 4. Agile Australia (http://www.agileaustralia.com/video.html) 5. David Joyce (http://leanandkanban.wordpress.com) 6. Harvard Business Review, February 2009: Moonshots for Managers
December 23, 2009
by Richard Durnall
· 24,935 Views · 1 Like
article thumbnail
A Groovy ride on Camel
Apache Camel is a routing and mediation engine which implements the Enterprise Integration Patterns. But don't let the words Enterprise Integration scare you off. Camel is designed to be really light weight and has a small footprint. It can be reused anywhere, whether in a servlet, in a Web services stack, inside a full ESB or a standalone messaging application. Camel makes it really simple to implement messaging application. So there are not many reasons why you could not use it in non-enterprise application. In fact, it is possible to use Camel as a tool, similar to the way you use scripting languages. For example, you could fire up the Camel Web Console and define a messaging application without write a single line of code. This article is a getting-started type of tutorial. As you might have guessed, I'm going to use Groovy as the programming language. And the programs in this article are intend to be ran with Groovysh, the Groovy Shell. Reasons: Groovy is concise, expressive and has less noice than Java. All programs in this article are just a couple dozen lines long and should be real easy to follow along. Using Groovysh allows the reader to interact with the application. I'm a Linux guy and am comfortable with VIM and working in command line. So bare with me. Putting the pieces together First, I'm going to write a simple program to make sure I'm able to talk to Camel in Groovy. I'm not using an IDE like Eclipse, nor creating a project, nor going to use any build tools like Maven. Any text editor will be sufficient. Save the following code to a file named CamelDemo.groovy (source download). import groovy.grape.Grape Grape.grab(group:"org.apache.camel", module:"camel-core", version:"2.0.0") class MyRouteBuilder extends org.apache.camel.builder.RouteBuilder { void configure() { from("direct://foo").to("mock://result") } } mrb = new MyRouteBuilder() ctx = new org.apache.camel.impl.DefaultCamelContext() ctx.addRoutes mrb ctx.start() p = ctx.createProducerTemplate() p.sendBody "direct:foo", "Camel Ride for beginner" e = ctx.getEndpoint("mock://result") ex = e.exchanges.first() println "INFO> ${ex}" This little program does a couple things: Imports the camel-core jar using Grape.grab() Defines a our custom RouteBuilder, which defines a simple route between a direct:foo and a mock:result enpoints. Instantiates the CamelContext, adds our custom RouteBuilder to it and starts Camel by ctx.start(). Tests the route by sending a message exchange using the producerTemplate obtained from the CamelContext Lookups the mock:result endpoint (ctx.getEndpoint("mock:result")) and dislays the first Exchange, which should contain the message we just sent. Now start the groovysh in a command window and load the program: $ groovysh groovy:000> load CamelDemo.groovy you should see a bunch of output and then the output from the script: INFO> Exchange[Message: Camel Ride for beginner] ===> null groovy:000> At this point, you can interact with the program via groovysh. For example the following shows a few things you can do. groovy:000> ctx.routes ===> [EventDrivenConsumerRoute[Endpoint[seda://foo] -> UnitOfWork(Channel[sendTo(Endpoint[mock://result])])]] groovy:000> ctx.components ===> {mock=org.apache.camel.component.mock.MockComponent@14f2bd7, seda=org.apache.camel.component.seda.SedaComponent@c759f5} groovy:000> ctx.endpoints ===> [Endpoint[seda://foo], Endpoint[mock://result]] groovy:000> ctx.endpoints[1].exchanges ===> [Exchange[Message: Camel Ride for beginner]] groovy:000> ctx.endpoints[1].exchanges[0].in.body ===> Camel Ride for beginner groovy:000> p.sendBody("seda:foo", "Camel Kicking") ===> null groovy:000> e.exchanges ===> [Exchange[Message: Camel Ride for beginner], Exchange[Message: Camel Kicking]] This is it for our first Groovy/Camel program. For the curious, you can actually modify the program and reload it without terminating and restarting groovysh. Camel Stock Quote This is a simple stock quote application. Initially, I planed to walk you thru the development steps, from adding a simple bean as a Processor to transforming it to a Multi-Channel, Multi-Data-Format service application. But after I've finished developing the program, it turns out that it is too simple to justify for such elaboration. To save your time and mine, I'm just going to show you the final version right here. Take a look at it, and if you can understand what it does, then may be you should skip the rest of this article :) Save the following code to a file named StockQuote.groovy (source download). import groovy.grape.Grape Grape.grab(group:"org.apache.camel", module:"camel-core", version:"2.0.0") Grape.grab(group:"org.apache.camel", module:"camel-jetty", version:"2.0.0") Grape.grab(group:"org.apache.camel", module:"camel-freemarker", version:"2.0.0") class QuoteServiceBean { public String usStock(String symbol) { "${symbol}: 123.50 US\$" } public String hkStock(String symbol) { "${symbol}: 90.55 HK\$" } } class MyRouteBuilder extends org.apache.camel.builder.RouteBuilder { void configure() { from("direct://quote").choice() .when(body().contains(".HK")).bean(QuoteServiceBean.class, "hkStock") .otherwise().bean(QuoteServiceBean.class, "usStock") .end().to("mock://result") from("direct://xmlquote").transform().xpath("//quote/@symbol", String.class).to("direct://quote") //curl -H "Content-Type: text/xml" http://localhost:8080/quote?symbol=IBM from('jetty:http://localhost:8080/quote').transform() .simple('').to("direct://xmlquote").choice() .when(header("Content-Type").isEqualTo("text/xml")).to("freemarker:xmlquote.ftl") .otherwise().to("freemarker:htmlquote.ftl") .end() } } ctx = new org.apache.camel.impl.DefaultCamelContext() mrb = new MyRouteBuilder() ctx.addRoutes mrb ctx.start() p = ctx.createProducerTemplate() //p.sendBody("direct:quote", "00005.HK") //p.sendBody("direct:xmlquote", "") //p.sendBody("direct:xmlquote", "") e = ctx.getEndpoint("mock://result") //e.exchanges.each { ex -> // println "INFO> in.body='${ex.in.body}'" //} OK, you are still here. It is assumed that: We have two market data providers, one for U.S. market and the other for Hong Kong market. An existing QuoteServiceBean class has been implemented as a POJO. It has two methods, usStock() and hkStock(). It is part of a legacy system, it works great, it hides the underlying details of interacting with the data providers. No one understands it and no one dares to modify it. We would like to use the existing QuoteServiceBean to provide a stock quote service that can be consume easily. i.e. Multi-Channel and Multi-Data-Format. Content Based Router and Message Translator from("direct://quote").choice() .when(body().contains(".HK")).bean(QuoteServiceBean.class, "hkStock") .otherwise().bean(QuoteServiceBean.class, "usStock") .end().to("mock://result") The first route (start at line 17) represented by the direct:quote endpoint. It routes the message according to the content of the body of the exchange, which it's assumed to contain the stock symbol. When the body of the exchange contains the string ".HK" the hkStock(String symbol) of QuoteServiceBean is called, otherwise the usStock(String symbol) of QuoteServiceBean is called. Notice that the route DSL almost reads like plain English! Let us try it out. First start groovysh, load the program and send two messages to the direct:quote endpoint: jack@localhost tmp]$ groovysh Groovy Shell (1.6.6, JVM: 1.6.0_11) groovy:000> load StockQuote.groovy .............. groovy:000> p.sendBody("direct:quote", "00001.HK") ===> null groovy:000> e.exchanges.last() ===> Exchange[Message: 00001.HK: 90.55 HK$] groovy:000> p.sendBody("direct:quote", "SUNW") ===> null groovy:000> e.exchanges.last() ===> Exchange[Message: SUNW: 123.50 US$] groovy:000> That is it, our simple content-based router successfully routes request to the corresponding processor methods. XML Quote Request, message Transform from("direct://xmlquote").transform().xpath("//quote/@symbol", String.class).to("direct://quote") This next route simply accepts requests in XML, transforms the request and chains it to direct://quote. With this, we've added the capability to accept requests in XML format! We are using XPath here to expression our transform. Check out the hosts of Expression Langauges supported by Camel. Let us try it out: groovy:000> p.sendBody("direct:xmlquote", "") ===> null groovy:000> e.exchanges.last() ===> Exchange[Message: GOOG: 123.50 US$] groovy:000> Multi-Channel, Multi-Data-Format Provisioning Grape.grab(group:"org.apache.camel", module:"camel-jetty", version:"2.0.0") Grape.grab(group:"org.apache.camel", module:"camel-freemarker", version:"2.0.0") // ........... lines removed for brevity ............. from('jetty:http://localhost:8080/quote').transform() .simple('').to("direct://xmlquote").choice() .when(header("Content-Type").isEqualTo("text/xml")).to("freemarker:xmlquote.ftl") .otherwise().to("freemarker:htmlquote.ftl") .end() Here we use the camel-jetty to expose an endpoint jetty:http://localhost:8080/quote to our quote service. Note that camel-jetty is not part of camel-core. That is why we have to grab it into our program. The HTTP request is translate into XML using simple expression. Note that the camel-jetty has kindly extracted the request parameters as well as the HTTP header and placed them on the Message header. So the request parameter symbol is access as ${header.symbol} in the expression. Next we simply chain the message exchange to the direct:xmlquote endpoint. The result from direct:xmlquote went thru another translation, which depends on the content-type of the orginating HTTP request. Here, I make use of the camel-freemarker to generate the desire output. So we need to create the two Freemarker templates: htmlquote.ftl ${body} xmlquote.ftl ${body} So let us see it in action, I'm going to use curl to make HTTP requests. Do this on another command window: [jack@localhost tmp]$ curl http://localhost:8080/quote?symbol=IBM IBM: 123.50 US$ [jack@localhost tmp]$ curl http://localhost:8080/quote?symbol=00001.HK 00001.HK: 90.55 HK$ [jack@localhost tmp]$ And to request XML content: [jack@localhost tmp]$ curl -H "Content-Type: text/xml" http://localhost:8080/quote?symbol=IBM IBM: 123.50 US$ [jack@localhost tmp]$ That's about it for our multi-channel/multi-data-format ser vice provision. Summary In this tutorial, I hoped to illustrate how Camel supports message passing paradigm style of application development. Camel provides all sort of components to help you build processing pipelines. All you need is to implement your business logic as simple POJOs and let Camel handle all the translating, routing, filtering, spliting and forwarding for you. Not shown in this tutorial is how to consume external resources and services from within a route. No sweat, it is just as easy. Camel integrates nicely with Spring as well as Guice, but works nicely on its own. It won't be in your way if you don't need DI support in your application. As they say: Keep the simple easy. Camel works nicely in a JBI environment like ServiceMix and OpenESB. Camel is OSGI-ready and tracks newly deployed bundles for Route definitions at runtime. So you can gear it all to way up to be part of an enterprise SOA infrastructure. Disclaimer, I'm not an experienced Camel user and still learning. Thank you for staying up with me.
December 3, 2009
by Jack Hung
· 26,115 Views
article thumbnail
Reload Your Plugins Without Restarting Eclipse
When you are developing Eclipse plugins, sometimes its annoying that the changes in the plugin.xml won't reflect immediately. You need to restart the target Eclipse to see the changes. This will be painful if you are playing with trial-n-error stuff like the menu urls. In this tip, I'll explain how to make Eclipse reread your plugin.xml without restarting the target. Create a plugin, launch as an Eclipse Application (you don't even need to Debug, just Run would do) Check the UI contributions of your plugin. Make the desired change in your plugin.xml. Right now, I've changed a Command's name; added a Command contribution to an existing menu; added a new view and made changes to an existing perspective In your target, open the Plug-ins Registry view and in the pull down menu, check the 'Show Advanced Operations' Right click your plugin and select Disable. Then right click again and select Enable. Since you have made changes to the current perspective by adding a view, you would be greeted with this Dialog. Say Yes. There you go. Now all the changes in the plugin.xml would reflect in the UI While this may not be applicable for all the changes you make in plugin.xml, this should cover up for most the changes From http://blog.eclipse-tips.com
December 2, 2009
by Prakash
· 13,430 Views
article thumbnail
How to Combine REST Services with EJB 3.1
Want to combine REST services using EJB 3.1? Learn how in this great tutorial.
December 1, 2009
by Milan Kuchtiak
· 138,495 Views · 1 Like
article thumbnail
Top Open Source ESB Projects
In today's software markets, open source technologies are giving commercial products some stiff competition. Enterprise Service Busses are no exception. Don Rippert, the chief technology officer at Accenture says, "ESBs are software products that allow you to create a business process with web services running on different platforms." Rippert believes an ESB is essential for achieveing the full potential of service-oriented architecture. In general, an ESB should provide flexibility built on a basis of standards. Jos Dirksen, an author of "Open Source ESBs in Action," said in a recent interview that today's top open source ESBs were "on par with commercial alternatives." Competition drives innovation, and this page has a list of the most competitive open source ESBs on the market. Here are the the forerunners among open source ESBs (in no particular order): JBoss ESB JBoss JBoss generally has mature components in its GA releases with no vendor-lockin characteristics. Their ESB leverages JEMStechnologies like the JBoss business rules engine for content-basedrouting and messaging. Content-based routing on the JBoss ESB can use Drools or XPath. The JBoss ESB supports XSLT and the Smookstransformation engine for XML and non-XML data formats. JBoss' ESBalso runs on the JBoss application server and features a pluggable architecture for swapping out ESBsubsystems. Apache ServiceMix Apache Apache ServiceMix 4 is OSGi based and a great option for integrating with an XML standards focussed landscape. Apache ServiceMix makes it very easy to hot-deploy new integration flows. Even the pluggable integration components are hot deployable. ServiceMix uses a JBI standard which provides a lot of components like JMS, BPEL, Web service, and Camel. The inclusion of Camel is a strong point for ServiceMix along with the Spring Framework, which is also supported. FUSE ESB is another great distribution of Apache ServiceMix. OpenESB Sun(Oracle) OpenESBhas an easy learning curve due to its solid integration with theGlassFish Application Server and Sun's popular IDE, NetBeans. TheNetbeans IDE provides countless integrated functions for administrationand development. The best thing about OpenESB is its toolset. OpenESB's tools include WSDL and schema editors, a JPI manager integrated into the service manager, and Antrunning in the background. Another tool is the Composite ApplicationService Assembly (CASA) editor, which gives you a graphical overview ofintegration applications. Many Java developers will love OpenESBbecause it comes straight from the home of Java. OpenESB is also OSGi based. MuleESB MuleSoft Mule is the most used open source integration platform. MuleESB's low cost along with easy configuration, expansion, and flexibility make it very popular. Java developers will find MuleESB easy to work with because it is Java centric. There’s also a powerful set of XML schemas in MuleESB. The creation of integration flows is very straightforward. MuleESB can have fairly complex integration flows up and running in minutes. It has many connectivity, routing, and transformation options right out of the box. WSO2 ESB WSO2 Other ESB products take a relatively heavyweight approach by using the JBI specification, but the relative newcomer, WSO2, takes a lightweight approach in its ESB. It does this by focusing on Web service standards for integration. The WSO2 ESB uses Apache Synapse, a nimble Web service mediation and routing engine that focuses on providing fast XML message processing. WSO2 takes advantage of Synapse's non-blocking http://s transport implementation over the Apache HttpComponents/NIO module. This allows the WSO2 ESB to handle thousands of parallel requests using a small amount of resources and threads. You can always expect great XML support from the WSO2 ESB because well-known XML expert James Clark is a company director at WSO2.
October 29, 2009
by Mitch Pronschinske
· 241,761 Views
article thumbnail
Fault Injection Testing - First Steps with JBoss Byteman
Fault injection testing[1] is a very useful element of a comprehensive test strategy in that it enables you to concentrate on an area that can be difficult to test; the manner in which the application under test is able to handle exceptions. It's always possible to perform exception testing in a black box mode, where you set up external conditions that will cause the application to fail, and then observe those application failures. Setting and automating (and reproducing) these such as these can, however, be time consuming. (And a pain in the neck, too!) JBoss Byteman I recently found a bytecode injection tool that makes it possible to automate fault injection tests. JBoss Byteman[2] is an open-source project that lets you write scripts in a Java-like syntax to insert events, exceptions, etc. into application code. Byteman version 1.1.0 is available for download from: http://www.jboss.org/byteman - the download includes a programmer's guide. There's also a user forum for asking questions here: http://www.jboss.org/index.html?module=bb&op=viewforum&f=310, and a jboss.org JIRA project for submitted issues and feature requests here: https://jira.jboss.org/jira/browse/BYTEMAN A Simple Example The remainder of this post describes a simple example, on the scale of the classic "hello world" example, of using Byteman to insert an exception into a running application. Let's start by defining the exception that we will inject into our application: package sample.byteman.test; /** * Simple exception class to demonstrate fault injection with byteman */ public class ApplicationException extends Exception { private static final long serialVersionUID = 1L; private int intError; private String theMessage = "hello exception - default string"; public ApplicationException(int intErrNo, String exString) { intError = intErrNo; theMessage = exString; } public String toString() { return "**********ApplicationException[" + intError + " " + theMessage + "]**********"; } } /* class */ There's nothing complicated here, but note the string that is passed to the exception constructor at line 13. Now, let's define our application class: package sample.byteman.test; /** * Simple class to demonstrate fault injection with byteman */ public class ExceptionTest { public void doSomething(int counter) throws ApplicationException { System.out.println("called doSomething(" + counter + ")"); if (counter > 10) { throw new ApplicationException(counter, "bye!"); } System.out.println("Exiting method normally..."); } /* doSomething() */ public static void main(String[] args) { ExceptionTest theTest = new ExceptionTest(); try { for (int i = 0; i < 12; i ++) { theTest.doSomething (i); } } catch (ApplicationException e) { System.out.println("caught ApplicationException: " + e); } } } /* class*/ The application instantiates an instance of ExceptionTest at line 18, then runs the doSomething method in a loop until a counter is greater then 10. Then it raises the exception that we defined earlier. When we run the application, we see this output: java -classpath bytemanTest.jar sample.byteman.test.ExceptionTest called doSomething(0) Exiting method normally... called doSomething(1) Exiting method normally... called doSomething(2) Exiting method normally... called doSomething(3) Exiting method normally... called doSomething(4) Exiting method normally... called doSomething(5) Exiting method normally... called doSomething(6) Exiting method normally... called doSomething(7) Exiting method normally... called doSomething(8) Exiting method normally... called doSomething(9) Exiting method normally... called doSomething(10) Exiting method normally... called doSomething(11) caught ApplicationException: **********ApplicationException[11 bye!]********** OK. Nothing too exciting so far. Let's make things more interesting by scripting a Byteman rule to inject an exception before the doSomething method has a chance to print any output. Our Byteman script looks like this: # # A simple script to demonstrate fault injection with byteman # RULE Simple byteman example - throw an exception CLASS sample.byteman.test.ExceptionTest METHOD doSomething(int) AT INVOKE PrintStream.println BIND buffer = 0 IF TRUE DO throw sample.byteman.test.ApplicationException(1,"ha! byteman was here!") ENDRULE Line 4 - RULE defines the start of the RULE. The following text on this line is not executed Line 5 - Reference to the class of the application to receive the injection Line 6 - And the method in that class. Note that since if we had written this line as "METHOD doSomething", the rule would have matched any signature of the soSomething method Line 7 - Our rule will fire when the PrintStream.println method is invoked Line 8 - BIND determince values for variables which can be referenced in the rule body - in our example, the recipient of the doSomething method call that triggered the rule, is identified by the parameter reference $0 Line 9 - A rule has to include an IF clause - in our example, it's always true Line 10 - When the rule is triggered, we throw an exception - note that we supply a string to the exception constructor Now, before we try to run this run, we should check the its syntax. To do this, we build our application into a .jar (bytemanTest.jar in our case) and use bytemancheck.sh sh bytemancheck.sh -cp bytemanTest.jar byteman.txt checking rules in sample_byteman.txt TestScript: parsed rule Simple byteman example - throw an exception RULE Simple byteman example - throw an exception CLASS sample.byteman.test.ExceptionTest METHOD doSomething(int) AT INVOKE PrintStream.println BIND buffer : int = 0 IF TRUE DO throw (1"ha! byteman was here!") TestScript: checking rule Simple byteman example - throw an exception TestScript: type checked rule Simple byteman example - throw an exception TestScript: no errors Once we get a clean result, we can run the application with Byteman. To do this, we run the application and specify an extra argument to the java command. Note that Byteman requires JDK 1.6 or newer. java -javaagent:/opt/Byteman_1_1_0/build/lib/byteman.jar=script:sample_byteman.txt -classpath bytemanTest.jar sample.byteman.test.ExceptionTest And the result is: caught ApplicationException: **********ApplicationException[1 ha! byteman was here!]********** Now that the Script Works, Let's Improve it! Let's take a closer look and how we BIND to a method parameter. If we change the script to read as follows: # # A simple script to demonstrate fault injection with byteman # RULE Simple byteman example - throw an exception CLASS sample.byteman.test.ExceptionTest METHOD doSomething(int) AT INVOKE PrintStream.println BIND counter = $1 IF TRUE DO throw sample.byteman.test.ApplicationException(counter,"ha! byteman was here!") ENDRULE In line 8, the BIND clause now refers to the int method parameter by index using the syntax $1. This change makes the value available inside the rule body by enabling us to use the name "counter." The value of counter is then supplied as the argument to the constructor for the ApplicationException class. This new version of the rule demonstrates shows how we can use local state as derived from the trigger method to construct our exception object. But wait there's more! Let's use the "counter" value as a counter. It's useful to be able to force an exception the first time a method is called. But, it's even more useful to be able to force an exception at a selected invocation of a method. Let's add a test for that counter value to the script: # # A simple script to demonstrate fault injection with byteman # RULE Simple byteman example 2 - throw an exception at 3rd call CLASS sample.byteman.test.ExceptionTest METHOD doSomething(int) AT INVOKE PrintStream.println BIND counter = $1 IF counter == 3 DO throw sample.byteman.test.ApplicationException(counter,"ha! byteman was here!") ENDRULE In line 9, we've changed the IF clause to make use of the counter value. When we run the test with this script, the first 2 calls to doSomething succeed, but the third one fails. One Last Thing - Changing the Script for a Running Process So far, so good. We've been able to inject a fault/exception into our running application, and even specify which iteration of a loop in which it happens. Suppose, however, we want to change a value in a byteman script, while the application is running? No problem! Here's how. First, we need to alter our application so that it can run for a long enough time for us to alter the byteman script. Here's a modified version of the doSomething method that waits for user input: public void doSomething(int counter) throws ApplicationException { BufferedReader lineOfText = new BufferedReader(new InputStreamReader(System.in)); try { System.out.println("Press "); String textLine = lineOfText.readLine(); } catch (IOException e) { e.printStackTrace(); } System.out.println("called doSomething(" + counter + ")"); if (counter > 10) { throw new ApplicationException(counter, "bye!"); } System.out.println("Exiting method normally..."); } If we run this version of the application, we'll see output like this: Press called doSomething(0) Exiting method normally... Press called doSomething(1) Exiting method normally... Press called doSomething(2) Exiting method normally... caught ApplicationException: **********ApplicationException[3 ha! byteman was here!]********** Let's run the application again, but this time, don't press . While the application is waiting for input, create a copy of the byteman script. In this copy, change the IF clause to have a loop counter set to a different value, say '5.' Then, open up a second command shell window and enter this command: Byteman_1_1_0/bin/submit.sh sample_byteman_changed.txt Then, return to the first command shell window and start pressing return, and you'll see this output: Press redefining rule Simple byteman example - throw an exception called doSomething(0) Exiting method normally... Press called doSomething(1) Exiting method normally... Press called doSomething(2) Exiting method normally... Press called doSomething(3) Exiting method normally... Press called doSomething(4) Exiting method normally... caught ApplicationException: **********ApplicationException[5 ha! byteman was here!]********** So, we were able to alter the value in the original byteman script, without stopping the application under test! Pitfalls Along the Way Some of the newbee mistakes that I made along the way were: Each RULE needs an IF clause - even if you want the rule to always fire The methods referenced in a RULE cannot be static - if they are static, then there is no $0 (aka this) to reference Yes, I had several errors and some typos the first few times I tried this. A syntax checker is always my best friend. ;-) Closing Thoughts With this simple example, we're able to inject injections into a running application in an easily automated/scripted manner. But, We've only scratched the surface with Byteman. In subsequent posts, I'm hoping to explore using Byteman to cause more widespread havoc in software testing. References [1] http://en.wikipedia.org/wiki/Fault_injection [2] http://www.jboss.org/byteman (Special thanks to Andrew Dinn for his help! ;-)
October 16, 2009
by Len DiMaggio
· 17,771 Views
article thumbnail
Integrating JBoss RESTEasy and Spring MVC
Building websites is a tough job. It's even tougher when you also have to support XML and JSON data services. Developers need to provide increasingly sophisticated AJAXy UIs. Marketing groups and other business units are becoming more savvy to the benefits of widgets and web APIs. If you're a Java developer who needs to implement those sexy features, you're likely going to accomplish that work with a dizzying variety of frameworks for web development, data access and business logic. The Spring Framework has a strong presence based on the premise of seamless (no pun intended) integration of all of those frameworks. The Spring framework integrates with a host of JEE standard technologies, such as EJBs and JSP. Spring MVC is a sub-project of the larger Spring Framework that has its own Controller API and also integrates other web development frameworks such as JSF, Struts and Tiles. While the Spring Framework also integrates with new JEE technologies as they develop, however, for a variety of reasons the Spring framework has not integrated with the tour de force JAX-RS standard which delivers an API for constructing RESTful services. There are six implementations of the JAX-RS standard, and each provides some level of integration with Spring. Most of those integrations work with the Spring framework proper, but don't take advantage of the benefits of Spring MVC. JBoss RESTEasy integrates with both the Spring Framework proper and also with the Spring MVC sub-project. In this article, we're going to explore how to use RESTEasy along with Spring MVC application. We'll deep dive into the internals of Spring MVC, we'll discuss JAX-RS and how they related to MVC web development. We'll also touch on quite a few technologies beyond Spring MVC and RESTEasy, including Jetty and maven. We're also going to discuss theoretical concepts relating to REST and Dependency Injection. This article has to cover quite a bit of ground and you'll be gaining quite a few tools you can use to develop complex web applications. If you follow this article, you'll be constructing an end-to-end web application, however, feel free to skim the article to find material that's relevant to you. REST and JAX-RS REST has been an increasingly trendy topic over the last three years. We as a development community have been looking at REST as an effective way to perform distributed programming and data-oriented services. In fact, the Java community's REST leaders got together and created a standard spec to standardize some RESTful ideas in JSR 311 - JAX-RS the Java API for XML and RESTful Services. The focus of JAX-RS was to create an API that Java developers could use to perform RESTful data exchanges. However, the Java community quickly saw the similarities between JAX-RS and MVC (Model View Control) infrastructures. James Strachan, a long time Java community member and open source contributor (to things like DOM4J, Groovy - he created the language, and recently the Apache Camel and CXF ESBs) suggested that JAX-RS as the one Java web framework to rule them all?. Jersey, the production ready JAX-RS reference implementation, has a built in JSP rendering mechanism. The RESTEasy community built a similar mechanism in HTMLEasy. The Jersey and and HTMLEasy approaches work well for simpler websites, but they don't solve some of the more complex needs of an application. If you want more complex functionality, you'll need a more sophisticated web-development platform, such as Spring MVC. A combination of Spring MVC and RESTEasy will have the following benefits compared to the simpler approaches: Session based objects Freedom of choice - chose the right tool for the job Spring MVC integrates with a whole bunch of MVC frameworks, including Spring MVC, Struts2 and now RESTEasy Spring MVC integrates with a whole bunch of View frameworks, including JSP, JSF, Tiles and much more Integrated AJAX components - the freedom of choice can make end-to-end AJAX calls a breeze, assuming you chose the appropriate framework More control over URL mapping This article tackles some more advanced topics. If you want some relevant background, we have a reference section at the end of this article. Before we take a look at code, let's take a more in depth view of Spring MVC. Spring MVC Spring MVC is broken down into three pluggable sub-systems: Handler Mapping - Map a URL to Spring Bean/Controller. Spring allows quite a few methods to perform this mapping. It can be based on the name of a Spring bean, it could be a URL to bean map, it could be based on an external configuration file or it could be based on annotations. Handler Mappings allow you to configure complex mappings without resorting to complex web.xml files. Handler Adapter - Invoke the Controller. Hander Adapters know what type of spring beans they can call and performs invocations on the types of beans it knows about. There are Handler Adapters for Spring MVC classic, spring @MVC, Struts, Struts2, Servlets, Wicket, Tapestry, DWR and more. View Mapping - Invoke the View. View Mappers know how to translate a logical view name produced by a Controller into a concrete View implementation. A name like "customers" may translate into any of the following technologies: JSP/JSTL, JSF, Velocity, FreeMarker, Struts Tiles, Tiles2, XSLT, Jasper Reports, XML, JSon, RSS, Atom, PDF, Excel, and more RESTEasy plugs into Spring MVC in all three sub-systems. JAX-RS Resources/Controllers are defined by annotations; therefore RESTEasy provides a ResteasyHandlerMapper that knows how to convert a URL to a RESTEasy managed JAX-RS controller method. Once RESTEasy determines which method to invoke, the ResteasyHandlerMapping performs the invocation. The invocation can either be an object, which invokes the default JAX-RS behavior which transforms the resulting Object to a Represetation such as XML or JSON. Additionally, you return a traditional Spring ModelAndView which can refer to a logical view name and a map of data to be rendered by the View. The default JAX-RS behavior creates a ResteasyView which uses JAX-RS's configurable MessageBodyReader and MessageBodyWriter transformation framework. RESTEasy can produce XML and JSON using JAXB, but can be configured to use other view technologies such as Jackson, which is a performant and flexible JSON provider, Flex AMF. This separation of Controller and View concepts allows you to mix and match your Controller and View technologies. RESTEasy Resources can call any Spring managed Views and other Controller technologies can be rendered by a ResteasyView. You can either use RESTEasy as your sole MVC framework, if it fits your needs, or you can augment an existing Controller infrastructure with data services provided by RESTEasy. Just as importantly, you can leverage all of the other functionality that Spring provides, such as DAO abstraction, transaction management and AOP. Your First SpringMVC/RESTEasy Application Before we start reviewing the project, let's review a quick checklist of items we will be reviewing. The project files fall into two categories: configuration and source code. All of the code that will be covered is available in the RESTEasy repository and can be downloaded (as a tar.gz file), or browsed. Here is a list of files that each category will require. Configuration Files: web.xml - servlet configuration with Spring MVC artifacts - Spring MVC's DispatcherServlet, and map to /contacts/* springmvc-servlet.xml - a Spring application context configuration with all of the Spring beans this project needs, including RESTEasy setup (one line) and JSP configuration pom.xml - maven 2 dependency configuration, including required repositories, RESTEasy dependencies and embedded Jetty setup Source Code: The code we're going to show you can be broken down into four layers: Controller - Controlling the flow between the HTTP request, the Model and the View ContactsResource.java - a RESTful Controller with JAX-RS annotations and some traditional HTML controller methods. It will be annotated with Spring's @Controller and @Autowired annotations as well. Model - the domain model and service objects in our case. In our case, we have 2 domain objects: Contact and Contacts; and 1 Service object: ContractService Contact.java - a JAXB domain object with contact information Contacts.java - a JAXB wrapper object that wraps a Contact List ContactService.java - a Map based repository of Contact instances View - How the domain model is transformed for consumer use. JAX-RS performs automated conversion to XML based on annotations on our domain model. We'll be using JSP for object to HTML conversion. contacts.jsp - a bare bones HTML view of our Contacts Test - JAX-RS provides quite a bit of functionality, we're writing quite a bit of code, and all of that is wrapped in quite a bit of configuration. This article will focus on testing our code, configuration and deployment in an automated JUnit test. ContractTest.java - a RESTEasy ReSTful Unit test for the ContractsResource functionality, embedded server included There's a lot of ground to cover, and we'll cover the most interesting pieces of the source first. Our first pass will cover the web.xml and springmvc-servlet.xml configuration files as well as the ContactsResource.java and ContactTest.java source files. Our second pass will cover the remaining topics. Core RESTEasy/Spring MVC artifacts web.xml Spring MVC's entry point is the DispatcherServlet. There are two parts in setting up the DispatcherServlet, the first is to map the servlet to the URL pattern which must follow the rules specified in Section 11.2 of Servlet API Specification. The next step is configure the behavior of the the servlet by providing the configuration file which we call 'springmvc-servlet.xml'. By default, DispatcherServlet looks for a configuration file at "WEB-INF/{servlet-name}-servlet.xml" to find it's configuration, but we're going to use a Spring configuration from the classpath so that the configuration can be reused later in our junit test case. springmvc org.springframework.web.servlet.DispatcherServlet contextConfigLocation classpath:springmvc-servlet.xml springmvc /contacts/* All requests will be forwarded to the Spring MVC DispatcherServlet. One can get much more sophisticated, but this is one of the simplest simplest web.xml you can create to integrate with Spring. Note that there isn't any reference here to a RESTEasy servlet. Other JAX-RS/Spring integrations require you to have an implementation specific Servlet to serve XML or JSon and a separate Spring MVC DispatcherServlet mapping to server HTML requests. RESTEasy integrates with DispatcherServlet to allow Spring MVC to direct the URL to either RESTEasy Resources or Spring MVC Controllers. Next, let's take a look at the Spring MVC configuration. springmvc-servlet.xml In our basic project, there are five things we need to do in the springmvc-servlet.xml file. Register the Spring namespace Register the package(s) to scan for Spring MVC annotations. Configure the context annotation processor. Import the springmvc-resteasy.xml configuration file which specifies the default RESTEasy/Spring MVC integration Spring beans. Configure the ViewResolver bean to configure the presentation layer to use JSP. Let's inspect the springmvc-servlet.xml file and focus on each of the above items. The springmvc-servlet.xml file itself is pretty short and shows off some of the features from Spring 2.5: Demystifying the Spring Configuration Spring allows for custom namespaces to reduce the verbosity of the configuration files. We make use of the namepsace by registering it in lines 3 and 4. Line 6 (component-scan) informs spring about which package(s) we want to scan and create the custom component object instances, such as controllers and service objects. We tell Spring about the packages we're interested in by using the custom namespace and set the base-package attribute with the packages we're interested in (org.jboss.resteasy.examples.springmvc ). Later on, you'll see that we're going to be using two Spring annotations that allow the Spring runtime to glean Dependency Management information directly from the object itself: @Controller and @Service. Line 7 (annotation-config) tells Spring that our application will be using annotations on how to configure the beans created by the (component-scan) operation of line 6. Spring looks for annotations such as Spring's @Autowired and @Required; JEE's @Resource; and JPA's @PersistenceContext and @PersistenceUnit to describe dependencies between bean instances. annotation-configSpring also looks for life-cycle annotations such as JSR 250's @PostConstruct and @PreDestroy. Our environment requires a dependency between our Controller and Service objects, and the annotation-config declaration will assist us to configure that relationship in Java code. Line 8 (import) is all the XML that is necessary to configure a RESTEasy environment in Spring MVC. The nice thing about the integration with RESTEasy is that most of the configuration is done for you within an embedded configuration file called springmvc-resteasy.xml. Lines 9-14 tell Spring how we intend to handle the rendering of our presentation layer. In our case, we want to use JSTL views that translate view names (such as "contact") to a JSP page found in the /WEB-INF/ directory (specifically /WEB-INF/contacts.jsp in our case). For more information about setting up Spring views, take a look at the spring documentation. Next, let's take a look at how you can mix and match Spring and JAX-RS annotations in a Controller/Resource. ContactsResource.java MVC Controllers control the flow between the Model and the View. Resource is REST's equivalent to Controllers, and we'll be using the term Resource and Controller interchangably. In our case, our resource handles requests to /contracts and /contracts/{id}. Our ContractsResource must perform quite a few functions on those two URL templates: Retrieve all Contacts - Display the results in either HTML, XML or JSon. For clarity, we'll break out the data oriented functionality (XML and JSon) from the user oriented functionality (HTML) into two distinct URLs - /contacts for HTML and /contacts/data for XML and JSon. REST allows a client to select which format it prefers to receive the data in through a process called Content Negotiation. Content Negotiation can happen through HTTP headers, URI or query parameters. Our ContractsResource will use different URIs to differentiate between data oriented and user views, and will use HTTP headers to differentiate between XML and JSon data views. Save a Contact - Create or Updating data is a pretty standard requirement. The Save a Contact functionality mirrors the Content Negotiation needs of Retrieve all Contacts. User oriented data exchange comes in the form of HTML form data, and data oriented exchange usually occurs in XML and JSon. These differing requirements require ContractResource to have two distinct JAX-RS Java methods; we'll also separate the URLs for clarity purposes. View a Contact - We'll create a single view for viewing a single contact that returns XML or JSon. We leave the user oriented view as an exercise for the reader. Here's another view of our requirements: Functionality URL Format Java Method User Oriented View All /contacts HTML viewAll() Data Oriented View All /contacts/data XML or JSon getAll() User Oriented Save /contacts/ Form data saveContactForm() Data Oriented Save /contacts/data XML or JSon saveContact() Data Oriented View Single /contacts/data/{lastName} XML or JSon get() Note that we mixed and matched HTML and data oriented functionality in this requirement. Now that we have our requirements in place, let's take a look at the ContactsResource code. There are quite a few new Spring and JAX-RS annotations which we'll explain right after the code: @Controller @Path(ContactsResource.CONTACTS_URL) public class ContactsResource { public static final String CONTACTS_URL = "/contacts"; @Autowired ContactService service; @GET @Produces({MediaType.APPLICATION_XML, MediaType.APPLICATION_JSON}) @Path("data") public Contacts getAll() { return service.getAll(); } @GET @Produces(MediaType.TEXT_HTML) public ModelAndView viewAll() { // forward to the "contacts" view, with a request attribute named // "contacts" that has all of the existing contacts return new ModelAndView("contacts", "contacts", service.getAll()); } @PUT @POST @Produces({MediaType.APPLICATION_XML, MediaType.APPLICATION_JSON}) @Path("data") public Response saveContact(@Context UriInfo uri, Contact contact) throws URISyntaxException { service.save(contact); URI newURI = UriBuilder.fromUri(uri.getPath()).path(contact.getLastName()).build(); return Response.created(newURI).build(); } @POST @PUT @Consumes(MediaType.APPLICATION_FORM_URLENCODED) @Produces(MediaType.TEXT_HTML) public ModelAndView saveContactForm(@Form Contact contact) throws URISyntaxException { service.save(contact); return viewAll(); } @GET @Produces({MediaType.APPLICATION_XML, MediaType.APPLICATION_JSON}) @Path("data/{lastName}") public Contact get(@PathParam("lastName") String lastName) { return service.getContact(lastName); } } This code is packed with annotations and Java code that's indicative of JAX-RS Resources and Spring applications. There is also a RESTEasy custom annotation. The Spring IoC annotations are well documented, but we are using them in unusual ways for our integration: @Controller tells the Spring runtime that it needs to create an instance of ContractsResource at startup time. Do you remember the component-scan directive that was used in the Spring configuration section? The combination of the directive and the annotation tell Spring that a singleton instance of ContractsResource must be created at startup. Spring has a more generic @Component, but the use of @Controller allows for more precise definition of bean usage and also allows for future upgrades that involve AoP to create more precise targeting. While @Controller is usually associated with Spring @MVC annotated controllers and not other Controller infrastructures, but even thought it's not a Spring MVC controller, we use it to tell Spring that this indeed is a Controller That association of @Controller to Spring MVC annotated controllers is a loose coupling in the Spring runtime. We'll use JAX-RS annotations to configure the handling of URL and HTTP handling behavior. You could theoretically add additional Spring @MVC annotations such as @RequestMapping (which is an equivalent of JAX-RS @Path) to our ContactsResource, if you really wanted to @Autowired tells the Spring runtime that instances of ContractResource require an instance of ContactService. We'll be coding the ContactService later in this article. You can take a look at the Spring reference documentation for more information about @Autowired and @Controller. The last Spring artifact that we use is ModelAndView: It is Spring MVC's encapsulation of which logical View to use and which Model variables should be passed into the View. In our case, we're going to create a Model variable called "contacts" that is a List of all Contact objects we have in the system. We're passing that variable to the a logical view named "contacts" which will map to "/WEB-INF/contacts.jsp" based on the Spring configuration that we previously discussed. The JAX-RS annotations are also well documented, but it's definitely worth while to give a brief overview: @Path tells the RESTEasy (or other JAX-RS environments) how to map URLs to java methods. Adding @Path at the class level tells, in our case "/contacts", indicates that all methods must be prefixed with that URL. The @Path value can either be a hard coded URL such as "/contacts" or it can be a URI template such as "data/{lastName}". You can even specify regular expressions for more sophisticated filtering in the URI template. @GET, @PUT and @POST are used in combination with @Path to indicate which specific HTTP methods are handled by individual Java methods @Produces and @Consumes are used to further filter how a request should be handled based on content negotiation based on the Accept and Content_Type HTTP header. JAX-RS provides a set of default mime type values in the MediaType class. @PathParam is a method parameter annotation that indicates how a URI template variable is mapped to a method parameter. There are quite a few other method parameter level annotations that you could use to map HTTP headers, cookies, query parameters and form parameters to member variables @Context is an interesting JAX-RS parameter that allows dependency injection of request level information such as HttpRequest, HttpResponse and UriInfo (which as you can probably guess encapsuldates information about the request URI). It's important to note that Spring by default manages beans such as ContactsResource as a singleton; if ContactsResource was a Prototype or Request scoped bean, you would be able to use the @Context annotation on member variables in addition to method variables. For more on Spring scoping see the Spring Framework documentation. The last annotation we need to talk about is @Form. It's a RESTEasy custom annotation that describes that a member variable encapsulates data from HTML forms. If you recall, we used the JAX-RS @FormParam annotation on our Contact domain object. @Form and @FormParam are used in concert to allow for better maintenance of form based processing systems. JAX-RS 2.0's stated goals include a more robust, uniform Form processing annotation system. The functionality to code ratio is pretty high because of all of the declarative coding conventions of these annotations. Now that we've discussed the most involved pieces of the puzzle, let's take a look at completing the project. Additional Artifacts pom.xml Our pom.xml includes dependency management, description of required Maven repositories, a description of which JDK we're going to use and a Jetty web server configuration. We'll cover the repository selection, the dependencies specific to RESTEasy and a jetty-maven integration External Repositories jboss jboss repo http://repository.jboss.org/maven2 scannotation http://scannotation.sf.net/maven2 java.net http://download.java.net/maven/1 legacy maven repo maven repo http://repo1.maven.org/maven2/ Project Dependencies Now that we've informed Maven which additional repositories are required, we can now include the dependencies the our sample project will require. The section of the pom.xml file, should include the following two dependencies for Spring and RESTEasy functionality - resteasy-spring and resteasy-jaxb-provider: org.jboss.resteasy resteasy-spring 1.2.RC1 org.jboss.resteasy resteasy-jaxb-provider 1.2.RC1 org.mortbay.jetty maven-jetty-plugin 6.1.15 test The resteasy-spring dependency includes the adapter that integrates RESTEasy into Spring's MVC and provides most the required Java dependencies for RESTEasy and Spring. It also contains Spring configuration needed within the embedded spring-resteasy.xml file that will be used in the Spring configuration section. The other RESTEasy dependency that's included, resteasy-jaxb-provider, contains classes that convert the payload into various formats before sending it to the client. The last dependency to focus on is the maven-jetty-plugin which allows us to easily startup our project in a Jetty webserver environment. Note: If you're follow the link above to the RESTEasy repository's version of pom.xml, you will have to modify the version of resteasy-spring and resteasy-jaxb-provider to the latest version that has been deployed, specifically 1.2.RC1 at the time this article was written. The RESTEasy repository contains a soon-to-be-deployed version number which will not work unless you build the entire RESTEasy project. Maven Jetty Plugin One last interesting item of pom.xml is the configuration of the Jetty web server resteasy-springMVC org.mortbay.jetty maven-jetty-plugin 6.1.15 / 2 ... This will allow us to startup Jetty against localhost:8080. You can learn more about the maven Jetty plugin and a variety of configuration options. Let's start with the domain model and move on to the service object. From there, we'll discuss the JAX-RS Resource/Controller. From there, we'll explore the unit test and finally we'll write the JSP View and start up our server. Contact.java Our DTO is going to be deceptively simple. It will perform a dual responsiblity of JAXB XML binding and Form parameter binding. Both sets of functionality will be configured through annotations and will be managed through JAXB and JAX-RS: import javax.ws.rs.FormParam; import javax.xml.bind.annotation.XmlRootElement; @XMLRootElement public class Contact { private String firstName, lastName; // default constructor for JAXB (also required by JPA/Hibernate if you use them) public Contact(){} // helper constructor for our Controller/Service operations public Contact(String firstName, String lastName){ this.firstName = firstName; this.lastName = lastName; } @FormParam("firstName") public void setFirstName(String firstName) { this.firstName = firstName; } public String getFirstName() { return firstName; } @FormParam("lastName") public void setLastName(String lastName) { this.lastName = lastName; } public String getLastName() { return lastName; } // equals and hasCode are added for the Map based Service object public boolean equals(Object other){ .. } public long hashCode(){ .. } } The annotation on the setters tells JAX-RS to bind any incoming form parameters to the appropriate setter. The @XMLRootElement annotation is enough to tell JAXB that the Contract object must be bound to getters and setters must be bound to an XML document that will look like: Richard Burton Contacts.java The Contacts class is a simple wrapper around a List of Contact instances: @XmlRootElement public class Contacts { private Collection contacts; public Contacts() { this.contacts = new ArrayList(); } public Contacts(Collection contacts) { this.contacts = contacts; } @XmlElement(name="contact") public Collection getContacts() { return contacts; } public void setContacts(Collection contact){ this.contacts = contact; } } Contacts has the @XmlRootElement, just like Contact. The @XmlRootElement annotation tells JAXB to transform objects of this type to an XML structure that has as its top level element. In addition, we've added the @XmlElement annotation to the getContacts() method. By default, JAXB renders all JavaBean elements and uses the JavaBean name as the element. JAXB handles Lists as special cases: all List elements are translated to XML elements using the JavaBean name. @XmlElement(name="contact") tells JAXB that we opted to override the default name ("contracts") in favor of our own name ("contract" - no 's'). The Contracts object will bind to XML that looks like: Richard Burton Solomon Duskis Now that we have our Domain model in place, let's start using it in our Service tier. ContactService.java Since the purpose of this article is JAX-RS centric, we're not going to create an elaborate service layer, but we'll add once since creating more robust Spring applications do require service or data access layers. If you're interested in seeing a RESTEasy/Spring application with database access, look here. Our ContractService performs simple in-memory storage of Contacts by last name: @Service public class ContactService { private Map contactMap = new ConcurrentHashMap(); public void save(Contact contact){ contactMap.put(contact.getLastName(), contact); } public Contact getContact(String lastName){ return contactMap.get(lastName); } public Contacts getAll() { return new Contacts(contactMap.values()); } } There are two items of interest that are noteworthy: Notice the use of Spring's @Service annotation. Do you remember the component-scan directive that was used in the Spring configuration section? The combination of the directive and the annotation tell Spring that a singleton instance of ContractService must be created at startup. Spring has a more generic @Component, but the use of @Service allows for more precise definition of bean usage and also allows for future upgrades that involve AoP to create more precise targeting. Notice the use of ConcurrentHashMap. It's a JDK 1.5 addition that adds performance in multi-threaded environments. It's an easy way to boost performance in distributed REST applications Next, let's take a look at the JSP that contacts.jsp We've explored the Model and Controller aspects of MVC. The last piece to the puzzle is the View. Most JAX-RS based interactions perform a more automated conversion of objects like our Contact to a data-oriented view, such as XML or JSon. Traditionally, Java EE MVC has been done with a more manual View management with languages such as JSP. Our JSP will take a Contracts instance created in ContractsResources.viewAll() and render it in basic HTML: Hello Contacts! Hello ${contact.firstName} ${contact.lastName} Save a contact, save the world: First Name: Last Name: This JSP loops over all contacts and adds links to their data-oriented View. It also creates a simple HTML form for creating a new Contact. While this JSP is simple, it will help us exercise three of our ContactsResource Controller: viewAll(), .saveContactForm(), and get(). It could also be a spring board for more complicated AJAX/JSon interaction, but that's beyond the scope of this article. The code and configuration is now complete, so let's run this project! Jetty Running Jetty is rather simple. You've seen most of the details of the pom.xml when we previously discussed it. Running jetty through maven involves running the following command: mvn jetty:run (If you haven't done so already, download the file as a tar ball, and change the pom.xml's version of the two RESTEasy dependencies to 1.2.RC1) That command will launch Jetty, and allow you to browse our project at http://localhost:8080/contacts. Add a few contacts, and view them either as a group at /contacts in HTML, as a group in XML at /contact/data, or individually as XML by following the links found at /contacts. Congratulations. You now have a running Spring MVC/RESTEasy application. We need one more thing to consider this application complete: a JUnit test. ContractTest.java RESTEasy provides a mechanism for easily launching a Spring MVC/RESTEasy application. RESTEasy also comes with a robust REST client framework. This article will cover bits and pieces of the test, but you can view the entire code in the RESTEasy SVN. To start, we're going to set up an interface that the RESTEasy client can use to create a client for our application. It consists of abstract methods annotated with JAX-RS annotations: @Path(ContactsResource.CONTACTS_URL) public interface ContactProxy { @Path("data") @POST @Consumes(MediaType.APPLICATION_XML) Response createContact(Contact contact); @GET @Produces(MediaType.APPLICATION_XML) Contact getContact(@ClientURI String uri); @GET String getString(@ClientURI String uri); } All methods on ContactProxy inherit the ContactsResource.CONTACTS_URL path ("/contacts") as the root URL, just like a server-side JAX-RS resource. This interface's has three methods: Create a contact - the createContact method maps to a POST to "/contacts/data". The method accepts a Contact object which will be converted to XML before it's sent to the server. The result is a JAX-RS Response object which contains the response status and headers. One of those headers includes the LOCATION of the new contact Get an XML Contact - Given a URL to a Contact, such as the URL returned by the createContact method's response's LOCATION header, GET an XML response and create a Contact object from it. Get a Response as a String - Given a URL, such as a Contact URL or anything else on the server, retrieve a String result. This interface will be used by RESTEasy to construct a concrete instance that uses the JAX-RS annotations to perform the actual HTTP calls. Next, let's create the embedded server and use RESTEasy to create that instance of a ContactProxy: private static ContactProxy proxy; private static TJWSEmbeddedSpringMVCServer server; public static final String host = "http://localhost:8080/"; @BeforeClass public static void setup() { server = new TJWSEmbeddedSpringMVCServer("classpath:springmvc-servlet.xml", 8080); server.start(); RegisterBuiltin.register(ResteasyProviderFactory.getInstance()); proxy = ProxyFactory.create(ContactProxy.class, host); } @AfterClass public static void end() { server.stop(); } JUnit invokes methods annotated by @BeforeClass before any test methods run. Methods annotated by @AfterClass are triggered by JUnit before after all test methods are complete. In our case, the setup method will instantiate a server that contains a SpringMVC Servlet on port 8080 that is configured by the same Spring XML configuration file we used in Jetty. It also invokes the two lines of code required to create a RESTEasy client. RegisterBuiltin sets up the RESTEasy run time, and must be run one time per client. ProxyFactory.create tells RESTEasy to read the annotations on the ContactProxy interface and to create a Java Proxy instance that knows how to perform the HTTP requests we'll need for our test: @Test public void testData() { Response response = proxy.createContact(new Contact("Solomon", "Duskis")); String duskisUri = (String) response.getMetadata().getFirst(HttpHeaderNames.LOCATION); Assert.assertTrue(duskisUri.endsWith(ContactsResource.CONTACTS_URL + "/data/Duskis")); Assert.assertEquals("Solomon", proxy.getContact(duskisUri).getFirstName()); ... } This test creates a new Contact, checks the server's response to make sure that the URL is consistent with the test's expectations. It then re-retrieves the Contact and confirms that the firstName is indeed what was sent sent in. While this is a pretty trivial looking test, it performs quite a bit of HTTP activity and business logic. Conclusion This article discussed quite a bit of philosophy and design considerations in building a RESTful web application with RESTEasy and Spring MVC. We also built an end to end application with RESTEasy, Spring MVC, Maven, Jetty and JUnit. Even though the content in this article was significant, the code presented here is relatively short compared to other Java alternatives. We touched on subjects like designing REST Applications, creating Spring applications, the RESTEasy client infrastructure and testing RESTful applications. Each of those subjects merit their own articles. There were also other subjects that we simply couldn't fit into this article (as long as it is), including JavaScript to the toolkit to allow closer integration between the browser and your RESTful application, integrating with Flex and more. The code presented in this article can serve as a spring board (again, no pun intended) for all of those ideas. About the Authors Solomon Duskis Solomon Duskis is a Senior Manager at SunGard Consulting Services. He's been developing for 22 years -- 12 years in professional capacity. He has experience in various industries such as Finance, Media, Insurance and Health. He contributes to Open Source projects such as JBoss Resteasy and the Spring framework. He is a published author of Spring Persistence - A Running Start, and the upcoming book Spring Persistence with Hibernate. Richard Burton Richard Burton is the co-founder of a small independent consulting firm called SmartCode LLC. He is an Open Source fanatic with over 10 years of experience in various industries such as Automotive, Insurance, Finance and fondly remembers the .com era. In his spare time, he contributes to Open Source projects such as SiteMesh 3, Struts 2, and more. Reference REST Roy Fielding's REST Thesis - Architectural Styles and the Design of Network-based Software Architectures(December 2000) Bill Burke's (August 2008 - DZone) How to GET a cup of coffee (October 2008 - InfoQ) Roy Fielding REST APIs Must Be Hypertext Driven (October 2008 - Untagled Roy's blog - take a look at the URI: roy.gbiv.com ) JAX-RS Bill Burke's (September 2008 - DZone) An overview of JAX-RS 1.0 Features James Strachan's JAX-RS as the one Java web framework to rule them all? (January 2009 - James' blog) RESTEasy RESTEasy project A blog about Spring + RESTEasy Getting Started with RESTEasy Spring Spring 2.5 reference Oh, just search google for "spring framework" Spring MVC Spring MVC Reference Spring MVC Step By Step Spring MVC Tutorial
October 15, 2009
by Solomon Duskis
· 141,372 Views · 1 Like
  • Previous
  • ...
  • 759
  • 760
  • 761
  • 762
  • 763
  • 764
  • 765
  • 766
  • 767
  • Next
  • RSS
  • X
  • Facebook

ABOUT US

  • About DZone
  • Support and feedback
  • Community research

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 215
  • Nashville, TN 37211
  • [email protected]

Let's be friends:

  • RSS
  • X
  • Facebook
×