Since it has been introduced in JDK 1.5, I have loved the Executor abstraction over multi threaded execution. Basically you define tasks, implementing Runnable or Callable interfaces, and you submit those tasks to an Executor implementation. It's the Executor who knows how the tasks must be processed: scheduled at a certain time, enqueued in a separate single thread or using a thread pool. Different instances of Executor can be obtained through the Executors class. In this way, the logic of your program is not dependant on how the multi threading needs to be implemented: you can think of tasks and executors, and you can choose, at a later time, how those tasks need to be processed. It's also possible to discover the status of a task: by taking a look at the Future. Another advantage that I like is the fact that you can remove the issue of the multi threading during the tests. Testing multithreaded code is quite hard, because at the time you want to verify your assertions, the parallel threads may not yet be ready, so you have to play with the sleep(), join(), wait() and notify() methods, producing sometimes unreliable tests. So, wouldn't it be wonderful if, just for testing, you could remove the complexity of the background execution? After all, we know that Executors work beautifully and we don't need actually to verify them. In fact, as the Javadocs say However, the Executor interface does not strictly require that execution be asynchronous. In the simplest case, an executor can run the submitted task immediately in the caller's thread: class DirectExecutor implements Executor { public void execute(Runnable r) { r.run(); } } Following the DIP principle, you can pass the above DirectExecutor to the class you want to test - I usually do it in the constructor - and, during the tests you have worked around the fact that something, in the real world would happen in background. You can, in other words, flatten the multiple threads in a single thread. Example: String message = "hello world!"; Executor executor = new DirectExecutor(); Chat chat = new Chat(executor); // suppose that the sendMessage sends messages in background (async) chat.sendMessage(message); assertEqual(message, chatServer.lastMessageReceived()); Once we've used a DirectExecutor, we know that when we call sendMessage(), the execution of the logic behind it will now be synchronous. Then, the assertion at the next line can evaluate the result without waiting for the "background" process to complete. No sleeps and no thread coordination needed anymore. The DirectExecutor as listed in the Javadocs can be improved to be more effective for testing purposes. For example, with Mockito you can implement a direct executor with a Mock Object that can also be queried to verify how the class under test interact with it. // on the base test class (MockitoTestBase) @Before public void before() { MockitoAnnotations.initMocks(this); } protected void implementAsDirectExecutor(ExecutorService executor) { doAnswer(new Answer

Welcome to episode four of our series "The Seven Wastes of Software Development." In episode one, we introduced the concept of eliminating waste from our software development efforts. Waste elimination can be traced all the way back to the the mid-1900's, the birth of lean manufacturing, and the Toyota Production System (TPS). This is how Taiichi Ohno, the father of the TPS, described its essence: All we are doing is looking at the time line, from the moment the customer gives us an order to the point when we collect the cash. And we are reducing the time line by reducing the non-value adding wastes. [1] Read the other parts in this series: The Seven Wastes of Software Development - Introduction Waste #1 - Partially Done Work Waste #2 - Extra Features Waste #3 - Relearning Waste #4 - Handoffs Waste #5 - Delays Waste #6 - Task Switching Waste #7 - Defects In this episode, I'd like to focus on "Handoffs." Think of this as any time that you pass work from one role to another, essentially relinquishing responsibility for it. I've done my part, now it's time for you to do yours. Some flavor of the following set of handoffs happens in development shops all over the world: The Business Analyst documents the requirements, obtains "signoff" from the customer, and then hands the requirements off to a Designer or Architect. The Designer/Architect drafts a design for system components that will fulfill the requirements, often also obtaining "signoff" from some authority, and then hands the design off to Programmers. The Programmers take the design and implement it using a programming language, libraries, frameworks, etc. Once the code is "done" (often meaning written and compiled), it is "thrown over the wall" to the Testers who then execute some test plan, identify and file bugs, etc. In simple terms, this represents the stereotypical "waterfall" model for development. Unfortunately, only so much can be successfully passed on through documents and diagrams. Inherent in any concept is a great deal of "tacit knowledge." Wikipedia defines tacit knowledge as "knowledge that is difficult to transfer to another person by means of writing it down or verbalizing it." To understand tacit knowledge and the difficulty of transmitting it, let's look at some examples. The Poppendieck's relate the example of teaching your child how to ride a bike [2]. I have yet to do this (although it is high time my oldest dropped her training wheels), so I'd like to focus on another incident in my personal experience. My 5-year old daughter asked me tonight how to blow a bubble with gum. How in the world do you explain that? How much tacit knowledge is involved? I mean, technically I could explain how to do it, but what are the chances that she could translate that into a successful bubble? Demonstrating it is pretty difficult too, given the fact that she can't see inside my mouth. But that's exactly what's going on here with handoffs. We're losing the message bit by bit as it goes down the line. Did you ever play the telephone game as a child? How many "handoffs" did it take before "Johnny picked an apple from the tree" became "Johnny picked his nose by the sea?" And now here's the kicker. The Poppendieck's suggest we take the conservative route and estimate that each handoff leaves behind approximately 50% of the knowledge we intend to transfer [2]. That means: 25% of knowledge left after 2 handoffs 12% of knowledge left after 3 handoffs 6% of knowledge left after 4 handoffs 3% of knowledge left after 5 handoffs That means that by the time the testers get their hands on the project (in our example above), it's quite likely that 88% of the knowledge required has been lost! So, what do we do? Here are some ideas: First, simply try to reduce the number of handoffs. Find ways to integrate disparate teams that need to work together. Rather than fulfilling project roles via separate teams, use cross-functional teams. Create a single project team composed of analysts, architects, developers, and testers. Use high-bandwidth communication methods. A good pecking order: Face-to-face, telephone/voice chat, voice mail, email, documents. Appropriately document knowledge where necessary. Use wikis to encourage the evolution of your documentation structure to best fit the knowledge you're trying to document. Quicken your feedback loops. Shorten your iterations. Close the gaps. That's all for this episode of "The Seven Wastes of Software Development." Stay tuned for the next installment: Delays. References [1] Ohno, Taiichi. Toyota Production System: Beyond Large Scale Production. Productivity Press, 1988. [2] Poppendieck, Mary and Tom. Implementing Lean Software Development: From Concept to Cash. Addison-Wesley, 2006.

These days we are used to AJAX-intensive, sophisticated web frameworks. These frameworks provide us desktop style development into the Single Page Interface (SPI) paradigm. As you know there are two main types of frameworks, client-centric and server-centric. Each approach has pros and cons. Testing the performance of Java server-centric frameworks In the server-centric view, state is managed in server. In some way the client is a sophisticated terminal of the server because most of visual decisions are taken on the server and some kind of visual rendering is done on the server (HTML generation as markup or embedded in JavaScript or more higher level code sent to the client). The main advantage is that data and visual rendering are together in the same memory space, avoiding custom client-server bridges for data communication and synchronization, typical of the client-centric approach. This article only reviews Java server-centric frameworks. In SPI, the web page is partially changed; that is, some HTML parts can be removed and some new HTML markup can be inserted. This approach obviously saves tons of bandwidth and computer power because the complete page is not rebuilt and not fully sent to the client when some page change happens. A server-centric framework to be effective must send to the client ONLY the markup going to be changed or equivalent instructions in some form, when some AJAX event hits the server. This article reviews how much effective most of the SPI Java web frameworks are on partial changes provided by the server. We are not interested in events with no server communication, that is, events with no (possible) server control. How they are going to be measured We are going to measure the amount of code that is sent to client regarding to the visual change performed in client. For instance for a minor visual change (some new data) in a component we expect not much code from server, that is, the new markup needed as plain HTML, or embedded in JavaScript, or some high level instructions containing the new data to be visualized. Otherwise something seems wrong for instance the complete component or page zone is rebuilt, wasting bandwidth and client power (and maybe server power). Because we will use public demos, we are not going to get a definitive and fine grain benchmark. But you will see very strong differences between frameworks. The testing technique is very easy and everybody can do it with no special infrastructure, we just need FireFox and FireBug. In this test FireFox 3.6.8 and FireBug 1.5.4 are used. The FireBug Console when "Show XMLHttpRequests" is enabled logs any AJAX request showing the server response. The process is simple: The Console will be enabled before loading the page with the demo. Some clicks will drive some concrete component to the desired state. A final click will perform a small change in the component being analyzed. Then we will copy the output code of the AJAX request (HTML, XML, JavaScript ...) sent from server. The more code the less effective, more bandwidth waste and client processing is needed. We cannot measure the server power used because we need a deep knowledge of how the framework works in server, said this we can easily "suspect" the more code generated in server the more server power is wasted. Frameworks tested RichFaces, IceFaces, MyFaces/Trinidad, OpenFaces, PrimeFaces, Vaadin, ZK, ItsNat ADF Faces is not tested because there is no longer a public live demo. Because ADF Faces is based on Trinidad, Trinidad analysis could be extrapolated to ADF Faces (?). Update: NO, ADF Faces are very different to Trinidad. Note before starting Some frameworks seem to perform very well (regarding to this kind of test), that is, the ratio between visual change and amount of code is acceptable, but in some concrete cases (components) they "miserably" fail. This article tries to measure bad performant components. RichFaces Console must be enabled, configured and open as seen before. Open this tree demo (Ajax switch type) Expand "Baccara" node Expand "Grand Collection" Collapse "Grand Collection" As you can see the child nodes below "Grand Collection" has been removed or hidden (FireBug's DOM inspector says they were removed). Grand Collection As you can see too much HTML code has been sent for not much of a visual change. A more severe performance penalty: Open the Extended Data Table Demo On "State Name" paste "Alaska" (paste the name from clipboard), one row is shown Paste "Alabama" replacing "Alaska" (again paste from clipboard selecting Alaska first), again one different row is shown. The answer (HTML code) is too big to put here, 3.474 bytes, if you inspect the result you will see a complete rewrite of the table including header. IceFaces Open the Calendar demo Click on any different day Something like this is the last AJAX response: The answer (XML with metadata) is really big, 6.452 bytes, for a simple day change according to visual changes. MyFaces/Trinidad Open this Tree Table Demo Expand node_0_0 Expand node_0_0_0 (node node_0_0_0_ is shown) Collapse node_0_0_0 (hides/removes node_0_0_0_0) The last AJAX response is too big to put here, 18.765 bytes, because is a complete rewrite of the tree component. Update: a live demo of ADF Faces components is here and they seem to work fine as expected, that is, the ratio between code sent to the client and visual change is "correct" (in spite of HTML layout is very verbose the code sent to the client is almost the same to be displayed). OpenFaces Open the Tree Table demo Expand "Re: Scalling an image" Expand the new child "Re: Scalling an image" The last AJAX response is Re: Scaling an imageChristian SmileAug 3, 2007" data="{"structureMap":{"0":"1"}" scripts="" /> This code is very reasonable according to the change (a new child node/table row). Nevertheless some component miserably fails: Open the Data Table demo Select "AK" as "State", resulting one row. Replace with "AR", resulting again a new row The last AJAX result is too big, 38.209 bytes, because is a complete rewrite of the table including headers. PrimeFaces The AJAX answers of all tested examples were very reasonable. Said this, PrimeFaces lacks of a "filtered table component" or similar, the Achilles's heel of other JSF implementations. Update: As Cagatay Civici (one of the fathers of PrimeFaces) points out, PrimeFaces has a filltered table, this component works fine regarding to the ratio of visual change/code sent to client (try to do the same tests as prvious frameworks). Vaadin This is the first non-JSF framework. Open the Tree single selection demo Select "Dell OptiPlex GX240" Click "Apply" button (no change is needed) This is the last AJAX answer: for(;;);[{"changes":[["change",{"format": "uidl","pid": "PID190"},["12",{"id": "PID190","immediate":true,"caption": "Hardware Inventory","selectmode": "single","nullselect":true,"v":{"action":"","selected":["2"],"expand":[],"collapse":[],"newitem":[]},["node",{"caption": "Desktops","key": "1","expanded":true,"al":["1","2"]},["leaf",{"caption": "Dell OptiPlex GX240","key": "2","selected":true,"al":["1","2"]}],["leaf",{"caption": "Dell OptiPlex GX260","key": "3","al":["1","2"]}],["leaf",{"caption": "Dell OptiPlex GX280","key": "4","al":["1","2"]}]],["node",{"caption": "Monitors","key": "5","expanded":true,"al":["1","2"]},["leaf",{"caption": "Benq T190HD","key": "6","al":["1","2"]}],["leaf",{"caption": "Benq T220HD","key": "7","al":["1","2"]}],["leaf",{"caption": "Benq T240HD","key": "8","al":["1","2"]}]],["node",{"caption": "Laptops","key": "9","expanded":true,"al":["1","2"]},["leaf",{"caption": "IBM ThinkPad T40","key": "10","al":["1","2"]}],["leaf",{"caption": "IBM ThinkPad T43","key": "11","al":["1","2"]}],["leaf",{"caption": "IBM ThinkPad T60","key": "12","al":["1","2"]}]],["actions",{},["action",{"caption": "Add child item","key": "1"}],["action",{"caption": "Delete","key": "2"}]]]]], "meta" : {}, "resources" : {}, "locales":[]}] It seems not very much, but if you review the code the entire tree is being rebuilt again. ZK Another non-JSF framework. In the last versions ZK embrace an hybrid approach, most of the visual logic is in client as JavaScript components, the server sends to the client high level commands to the high level client library (Vaadin is not different). I have not found a component sending too much code from client (according to the visual change) in ZK's demo. ItsNat The last framework studied, again a non-JSF framework. In ItsNat the server keeps the same DOM state as in client and through DOM mutation events any change to the DOM in server automatically generates the JavaScript necessary to update the client accordingly. Open the demo Click on the handler of "Core" folder, the child nodes (11) are hidden. Result code of the AJAX event: itsNatDoc.addNodeCache(["cn_10","cn_14","0,1,1,0,0",["cn_15","cn_16"]]); itsNatDoc.setAttribute2("cn_14","src","img/tree/tree_node_collapse.gif"); itsNatDoc.setAttribute2(["cn_15","cn_17","1"],"src","img/tree/tree_folder_close.gif"); itsNatDoc.setAttribute2(["cn_16","cn_18","1,0",["cn_19"]],"style","display:none"); itsNatDoc.setAttribute2(["cn_19","cn_20","1"],"style","display:none"); itsNatDoc.setAttribute2(["cn_19","cn_21","2"],"style","display:none"); itsNatDoc.setAttribute2(["cn_19","cn_22","3"],"style","display:none"); itsNatDoc.setAttribute2(["cn_19","cn_23","4"],"style","display:none"); itsNatDoc.setAttribute2(["cn_19","cn_24","5"],"style","display:none"); itsNatDoc.setAttribute2(["cn_19","cn_25","6"],"style","display:none"); itsNatDoc.setAttribute2(["cn_19","cn_26","7"],"style","display:none"); itsNatDoc.setAttribute2(["cn_19","cn_27","8"],"style","display:none"); itsNatDoc.setAttribute2(["cn_19","cn_28","9"],"style","display:none"); itsNatDoc.setAttribute2(["cn_19","cn_29","10"],"style","display:none"); No surprises. Another test Open this Tree demo Click on "Insert Child". A new child node ("Actors") is inserted and a new log message is added. AJAX result code: itsNatDoc.removeAttribute2(["cn_15","cn_39","13"],"style"); itsNatDoc.setInnerHTML2("cn_39"," clickjavax.swing.event.TreeModelEvent 13802934 path [Grey's Anatomy, Actors] indices [ 4 ] children [ Actors ]"); var child = itsNatDoc.doc.createElement("li"); itsNatDoc.setAttribute(child,"style","padding:1px;"); itsNatDoc.appendChild2(["cn_17","cn_40","0,1,1,1",["cn_41","cn_42"]],child); itsNatDoc.setInnerHTML(child,"Label\n \n "); itsNatDoc.setTextData2(["cn_40","cn_43","4,0,2,0",["cn_44","cn_45"]],null,"Actors"); itsNatDoc.setAttribute2(["cn_45","cn_46","0"],"style","display:none"); itsNatDoc.setAttribute2(["cn_45","cn_47","1"],"src","img/tree/gear.gif"); Again no surprises. And the Winner is... There is no winner because only some components have been tested. Having said this, apparently the only JSF implementation free of serious performance penalties is PrimeFaces. In non-JSF frameworks using a very high level JS library like in Vaadin or ZK (PrimeFaces?) helps very much to reduce the network bandwidth (in spite of the fact that some components in Vaadin have serious performance problems), this cannot be said for client performance because in ItsNat the exact JS DOM code is sent to the client. On the other side a high level JS library complicates custom component development (beyond composition) because the server does not help very much but this is another story, and another article.

First of all, you should never store passwords. Then why the heck am I writing this post? Okay, Let me rephrase the first sentence – You should never store passwords as plain text anywhere in your application. of course, for the obvious reasons. If you store passwords as plain text, in a database or in a log file, then even Rajinikanth couldn’t save your application getting **cked.. I mean hacked. (Btw, Rajinikanth is the Chuck Norris of India, if you are not aware of him) Then what’s the right way to deal with the asterisks? You could use encryption. But if there’s a way to encrypt it, then there should be a way to decrypt it. So, encryption is also vulnerable to hacker’s attack. Isn’t there a better solution to this? It’s there and it's known as Password Hashing. How password hashing works? In hashing, you take a input string (in our case, a password), add a salt to the string, generate the hash value (using SHA-1 algorithm for example), and store the hash value in DB. For matching passwords while login, you do the same hashing process again and match the hash value instead of matching plain passwords and authenticate users. Hashing is different from encryption. Because, encryption is two way, means that you can always decrypt the encrypted text to get the original text. But Hashing is one way, you can never get the original text from the hash value. Thus it gives more security than encryption. To generate hash, you can make use of any hashing algorithms out there – MD5, SHA-1, etc. Before generating a hash, adding a salt to the password will give added security. Salt is nothing but a simple text that is known only to you/your application. It can be “zebra” or “I’mGod” or anything you wish. Below, I’m giving a Java example of how to do password hashing in an login module. Password hashing example in Java This is simple example containing two methods – signup() and login(). As their names suggest, signup would store username and password in DB and login would check the credentials entered by user against the DB. Let’s dive into the code. package com.sandbox; import java.security.MessageDigest; import java.security.NoSuchAlgorithmException; import java.util.HashMap; import java.util.Map; public class PasswordHashingDemo { Map DB = new HashMap(); public static final String SALT = "my-salt-text"; public static void main(String args[]) { PasswordHashingDemo demo = new PasswordHashingDemo(); demo.signup("john", "dummy123"); // login should succeed. if (demo.login("john", "dummy123")) System.out.println("user login successfull."); // login should fail because of wrong password. if (demo.login("john", "blahblah")) System.out.println("User login successfull."); else System.out.println("user login failed."); } public void signup(String username, String password) { String saltedPassword = SALT + password; String hashedPassword = generateHash(saltedPassword); DB.put(username, hashedPassword); } public Boolean login(String username, String password) { Boolean isAuthenticated = false; // remember to use the same SALT value use used while storing password // for the first time. String saltedPassword = SALT + password; String hashedPassword = generateHash(saltedPassword); String storedPasswordHash = DB.get(username); if(hashedPassword.equals(storedPasswordHash)){ isAuthenticated = true; }else{ isAuthenticated = false; } return isAuthenticated; } public static String generateHash(String input) { StringBuilder hash = new StringBuilder(); try { MessageDigest sha = MessageDigest.getInstance("SHA-1"); byte[] hashedBytes = sha.digest(input.getBytes()); char[] digits = { '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'a', 'b', 'c', 'd', 'e', 'f' }; for (int idx = 0; idx < hashedBytes.length; ++idx) { byte b = hashedBytes[idx]; hash.append(digits[(b & 0xf0) >> 4]); hash.append(digits[b & 0x0f]); } } catch (NoSuchAlgorithmException e) { // handle error here. } return hash.toString(); } } So, that’s it. I guess the above code is self explanatory. Do let me know in case you have any doubts. From http://veerasundar.com/blog/2010/09/storing-passwords-in-java-web-application/

Isn't it time you gained full control of your SQL work environment? Stop being limited by the tools foisted upon you and start creating your own. Not hard at all, either. Here's a complete tutorial for creating your very own SQL editor, which will look like this: OK. Now, let's create it from scratch. Start up NetBeans IDE and use this template to create a basis for your application. Just click through it and you'll have new folders and files on disk that represent your project: When you've clicked Next above, you'll be able to provide the name of your project: And when you click Finish, the Projects window will show you your application structure: You've now got a basic application that includes all the infrastructure you need (a module system, window system, file system, actions system, and more), without any content. Let's now add the content. Now right-click the "SQLEditor" node above (i.e., the orange icon) and choose Properties. In the Project Properties dialog, expand the "java" node and then include the SQL Editor: Click "Resolve" above and the IDE will include all the related modules. I.e., the SQL Editor module depends on other modules. Via the "Resolve" button, those dependencies will be identified and registered in your project. Next, let's include support for Java DB: Click "Resolve" again. Hurray, we're done. All the functionality for our own SQL editor is now available in our application. Now we'll add a new module, just so that we can perform a few tweaks to our application. In other words, this will be a branding module. Right-click the "Modules" node and choose "Add New": Name it something, such as "SQLBranding": Provide a unique identifier for your new module and make sure to include a layer.xml file, which you'll use to mask out the default menus and toolbars you don't need in your application: Click Finish above. Then right-click on the main package that is created in the module and choose New | Other. There you'll be able to create a new Module Install class, which will initialize the module when the application starts up: What we want is to force the Services window in the application (i.e., this is a window in NetBeans IDE for working with databases) to open when the application starts. So, we will provide code in the Module Install class (which you created above) for finding that window and opening it. The code we will need comes from the Window System API. Right-click the Libraries node in the module, as shown below, and choose "Add Module Dependency": Then browse to Window System API and click OK: Tip: In the Projects window, right-click the module's "Libraries" node. Choose "Add Dependency" and set a dependency on the "Window System API". That's what we need to use the window system code in the snippet below: Now, in the Module Install class, provide the following code: public class Installer extends ModuleInstall { @Override public void restored() { WindowManager.getDefault().invokeWhenUIReady( new Runnable() { @Override public void run() { TopComponent svcWindow = WindowManager.getDefault(). findTopComponent("services"); svcWindow.open(); svcWindow.requestActive(); } }); } } Now the window we need will be forced to open when the application starts. Let's turn to some other ancillary matters now. We can change the default splash screen, via "Branding", which is a menu item that you see when you right-click on the application's node in the Projects window, producing the Branding Editor below: And we can search all the strings in the modules that come from the NetBeans Platform, so that we can change the string "Services" to "Databases", for example. Or to some other custom string. You can also hide the menu items and toolbar buttons that you don't need and perform similar wrap-up tasks to really customize the application to your specific business needs. Let's now, just for fun, also include a file browser in our application. So, back in the Project Properties dialog of your application, choose Favorites under the "platform" node. While you're there, also enable the two AutoUpdate modules, so that the end user will be able to install plugins (i.e., new features and patches) that you or the community of your SQL editor will provide: The application is now complete. Let's create a ZIP distribution for our end users, while noticing we can also create a Mac distribution or one for web starting the application: After doing the above, the Files window shows your new ZIP distribution: If you prefer, you can also create an installer for your application: Once the application is unzipped or installed, click the launcher in the bin folder. Then you'll have the application with which this article started. Look in the Tools menu and, guess what? You find that you have a "Plugins" menu item, enabling extensions (i.e., features and patches) to be installed into the application. Many thanks to Tim Sparg from CoreFreight in Johannesburg for inspiring this article.

this tutorial will walk through how to implement a crud (create, read, update, delete) datagrid using extjs, spring mvc 3 and hibernate 3.5. what do we usually want to do with data? create (insert) read / retrieve (select) update (update) delete / destroy (delete) until extjs 3.0 we only could read data using a datagrid. if you wanted to update, insert or delete, you had to do some code to make these actions work. now extjs 3.0 (and newest versions) introduces the ext.data.writer, and you do not need all that work to have a crud grid. so… what do i need to add in my code to make all these things working together? in this example, i’m going to use json as data format exchange between the browser and the server. extjs code first, you need an ext.data.jsonwriter: // the new datawriter component. var writer = new ext.data.jsonwriter({ encode: true, writeallfields: true }); where writeallfields identifies that we want to write all the fields from the record to the database. if you have a fancy orm then maybe you can set this to false. in this example, i’m using hibernate, and we have saveorupate method – in this case, we need all fields to updated the object in database, so we have to ser writeallfields to true. this is my record type declaration: var contact = ext.data.record.create([ {name: 'id'}, { name: 'name', type: 'string' }, { name: 'phone', type: 'string' }, { name: 'email', type: 'string' }]); now you need to setup a proxy like this one: var proxy = new ext.data.httpproxy({ api: { read : 'contact/view.action', create : 'contact/create.action', update: 'contact/update.action', destroy: 'contact/delete.action' } }); fyi, this is how my reader looks like: var reader = new ext.data.jsonreader({ totalproperty: 'total', successproperty: 'success', idproperty: 'id', root: 'data', messageproperty: 'message' // <-- new "messageproperty" meta-data }, contact); the writer and the proxy (and the reader) can be hooked to the store like this: // typical store collecting the proxy, reader and writer together. var store = new ext.data.store({ id: 'user', proxy: proxy, reader: reader, writer: writer, // <-- plug a datawriter into the store just as you would a reader autosave: false // <-- false would delay executing create, update, //destroy requests until specifically told to do so with some [save] buton. }); where autosave identifies if you want the data in automatically saving mode (you do not need a save button, the app will send the actions automatically to the server). in this case, i implemented a save button, so every record with new or updated value will have a red mark on the cell left up corner). when the user alters a value in the grid, then a “save” event occurs (if autosave is true). upon the “save” event the grid determines which cells has been altered. when we have an altered cell, then the corresponding record is sent to the server with the ‘root’ from the reader around it. e.g if we read with root “data”, then we send back with root “data”. we can have several records being sent at once. when updating to the server (e.g multiple edits). and to make you life even easier, let’s use the roweditor plugin, so you can easily edit or add new records. all you have to do is to add the css and js files in your page: add the plugin on you grid declaration: var editor = new ext.ux.grid.roweditor({ savetext: 'update' }); // create grid var grid = new ext.grid.gridpanel({ store: store, columns: [ {header: "name", width: 170, sortable: true, dataindex: 'name', editor: { xtype: 'textfield', allowblank: false }, {header: "phone #", width: 150, sortable: true, dataindex: 'phone', editor: { xtype: 'textfield', allowblank: false }, {header: "email", width: 150, sortable: true, dataindex: 'email', editor: { xtype: 'textfield', allowblank: false })} ], plugins: [editor], title: 'my contacts', height: 300, width:610, frame:true, tbar: [{ iconcls: 'icon-user-add', text: 'add contact', handler: function(){ var e = new contact({ name: 'new guy', phone: '(000) 000-0000', email: '[email protected]' }); editor.stopediting(); store.insert(0, e); grid.getview().refresh(); grid.getselectionmodel().selectrow(0); editor.startediting(0); } },{ iconcls: 'icon-user-delete', text: 'remove contact', handler: function(){ editor.stopediting(); var s = grid.getselectionmodel().getselections(); for(var i = 0, r; r = s[i]; i++){ store.remove(r); } } },{ iconcls: 'icon-user-save', text: 'save all modifications', handler: function(){ store.save(); } }] }); java code finally, you need some server side code. controller: package com.loiane.web; @controller public class contactcontroller { private contactservice contactservice; @requestmapping(value="/contact/view.action") public @responsebody map view() throws exception { try{ list contacts = contactservice.getcontactlist(); return getmap(contacts); } catch (exception e) { return getmodelmaperror("error retrieving contacts from database."); } } @requestmapping(value="/contact/create.action") public @responsebody map create(@requestparam object data) throws exception { try{ list contacts = contactservice.create(data); return getmap(contacts); } catch (exception e) { return getmodelmaperror("error trying to create contact."); } } @requestmapping(value="/contact/update.action") public @responsebody map update(@requestparam object data) throws exception { try{ list contacts = contactservice.update(data); return getmap(contacts); } catch (exception e) { return getmodelmaperror("error trying to update contact."); } } @requestmapping(value="/contact/delete.action") public @responsebody map delete(@requestparam object data) throws exception { try{ contactservice.delete(data); map modelmap = new hashmap(3); modelmap.put("success", true); return modelmap; } catch (exception e) { return getmodelmaperror("error trying to delete contact."); } } private map getmap(list contacts){ map modelmap = new hashmap(3); modelmap.put("total", contacts.size()); modelmap.put("data", contacts); modelmap.put("success", true); return modelmap; } private map getmodelmaperror(string msg){ map modelmap = new hashmap(2); modelmap.put("message", msg); modelmap.put("success", false); return modelmap; } @autowired public void setcontactservice(contactservice contactservice) { this.contactservice = contactservice; } } some observations: in spring 3, we can get the objects from requests directly in the method parameters using @requestparam. i don’t know why, but it did not work with extjs. i had to leave as an object and to the json-object parser myself. that is why i’m using a util class – to parser the object from request into my pojo class. if you know how i can replace object parameter from controller methods, please, leave a comment, because i’d really like to know that! service class: package com.loiane.service; @service public class contactservice { private contactdao contactdao; private util util; @transactional(readonly=true) public list getcontactlist(){ return contactdao.getcontacts(); } @transactional public list create(object data){ list newcontacts = new arraylist(); list list = util.getcontactsfromrequest(data); for (contact contact : list){ newcontacts.add(contactdao.savecontact(contact)); } return newcontacts; } @transactional public list update(object data){ list returncontacts = new arraylist(); list updatedcontacts = util.getcontactsfromrequest(data); for (contact contact : updatedcontacts){ returncontacts.add(contactdao.savecontact(contact)); } return returncontacts; } @transactional public void delete(object data){ //it is an array - have to cast to array object if (data.tostring().indexof('[') > -1){ list deletecontacts = util.getlistidfromjson(data); for (integer id : deletecontacts){ contactdao.deletecontact(id); } } else { //it is only one object - cast to object/bean integer id = integer.parseint(data.tostring()); contactdao.deletecontact(id); } } @autowired public void setcontactdao(contactdao contactdao) { this.contactdao = contactdao; } @autowired public void setutil(util util) { this.util = util; } } contact class – pojo: package com.loiane.model; @jsonautodetect @entity @table(name="contact") public class contact { private int id; private string name; private string phone; private string email; @id @generatedvalue @column(name="contact_id") public int getid() { return id; } public void setid(int id) { this.id = id; } @column(name="contact_name", nullable=false) public string getname() { return name; } public void setname(string name) { this.name = name; } @column(name="contact_phone", nullable=false) public string getphone() { return phone; } public void setphone(string phone) { this.phone = phone; } @column(name="contact_email", nullable=false) public string getemail() { return email; } public void setemail(string email) { this.email = email; } } dao class: package com.loiane.dao; @repository public class contactdao implements icontactdao{ private hibernatetemplate hibernatetemplate; @autowired public void setsessionfactory(sessionfactory sessionfactory) { hibernatetemplate = new hibernatetemplate(sessionfactory); } @suppresswarnings("unchecked") @override public list getcontacts() { return hibernatetemplate.find("from contact"); } @override public void deletecontact(int id){ object record = hibernatetemplate.load(contact.class, id); hibernatetemplate.delete(record); } @override public contact savecontact(contact contact){ hibernatetemplate.saveorupdate(contact); return contact; } } util class: package com.loiane.util; @component public class util { public list getcontactsfromrequest(object data){ list list; //it is an array - have to cast to array object if (data.tostring().indexof('[') > -1){ list = getlistcontactsfromjson(data); } else { //it is only one object - cast to object/bean contact contact = getcontactfromjson(data); list = new arraylist(); list.add(contact); } return list; } private contact getcontactfromjson(object data){ jsonobject jsonobject = jsonobject.fromobject(data); contact newcontact = (contact) jsonobject.tobean(jsonobject, contact.class); return newcontact; } ) private list getlistcontactsfromjson(object data){ jsonarray jsonarray = jsonarray.fromobject(data); list newcontacts = (list) jsonarray.tocollection(jsonarray,contact.class); return newcontacts; } public list getlistidfromjson(object data){ jsonarray jsonarray = jsonarray.fromobject(data); list idcontacts = (list) jsonarray.tocollection(jsonarray,integer.class); return idcontacts; } } if you want to see all the code (complete project will all the necessary files to run this app), download it from my github repository: http://github.com/loiane/extjs-crud-grid-spring-hibernate this was a requested post. i’ve got a lot of comments from my previous crud grid example and some emails. i made some adjustments to current code, but the idea is still the same. i hope i was able answer all the questions. happy coding! from http://loianegroner.com/2010/09/extjs-spring-mvc-3-and-hibernate-3-5-crud-datagrid-example/

An introduction to clojure.test is easy, but it doesn't take long before you feel like you need a mocking framework. As far as I know, you have 3 options. Take a look at Midje. I haven't gone down this path, but it looks like the most mature option if you're looking for a sophisticated solution. Go simple. Let's take an example where you want to call a function that computes a value and sends a response to a gateway. Your first implementation looks like the code below. (destructuring explained) (defn withdraw [& {:keys [balance withdrawal account-number]}] (gateway/process {:balance (- balance withdrawal) :withdrawal withdrawal :account-number account-number})) No, it's not pure. That's not the point. Let's pretend that this impure function is the right design and focus on how we would test it. You can change the code a bit and pass in the gateway/process function as an argument. Once you've changed how the code works you can test it by passing identity as the function argument in your tests. The full example is below. (ns gateway) (defn process [m] (println m)) (ns controller (:use clojure.test)) (defn withdraw [f & {:keys [balance withdrawal account-number]}] (f {:balance (- balance withdrawal) :withdrawal withdrawal :account-number account-number})) (withdraw gateway/process :balance 100 :withdrawal 22 :account-number 4) ;; => {:balance 78, :withdrawal 22, :account-number 4} (deftest withdraw-test (is (= {:balance 78, :withdrawal 22, :account-number 4} (withdraw identity :balance 100 :withdrawal 22 :account-number 4)))) (run-all-tests #"controller") If you run the previous example you will see the println output and the clojure.test output, verifying that our code is working as we expected. This simple solution of passing in your side effect function and using identity in your tests can often obviate any need for a mock. Solution 2 works well, but has the limitations that only one side-effecty function can be passed in and it's result must be used as the return value. Let's extend our example and say that we want to log a message if the withdrawal would cause insufficient funds. (Our gateway/process and log/write functions will simply println since this is only an example, but in production code their behavior would differ and both would be required) (ns gateway) (defn process [m] (println "gateway: " m)) (ns log) (defn write [m] (println "log: " m)) (ns controller (:use clojure.test)) (defn withdraw [& {:keys [balance withdrawal account-number]}] (let [new-balance (- balance withdrawal)] (if (> 0 new-balance) (log/write "insufficient funds") (gateway/process {:balance new-balance :withdrawal withdrawal :account-number account-number})))) (withdraw :balance 100 :withdrawal 22 :account-number 4) ;; => gateway: {:balance 78, :withdrawal 22, :account-number 4} (withdraw :balance 100 :withdrawal 220 :account-number 4) ;; => log: insufficient funds Our new withdraw implementation calls two functions that have side effects. We could pass in both functions, but that solution doesn't seem to scale very well as the number of passed functions grows. Also, passing in multiple functions tends to clutter the signature and make it hard to remember what is the valid order for the arguments. Finally, if we need withdraw to always return a map showing the balance and withdrawal amount, there would be no easy solution for verifying the string sent to log/write. Given our implementation of withdraw, writing a test that verifies that gateway/process and log/write are called correctly looks like a job for a mock. However, thanks to Clojure's binding function, it's very easy to redefine both of those functions to capture values that can later be tested. The following code rebinds both gateway/process and log/write to partial functions that capture whatever is passed to them in an atom that can easily be verified directly in the test. (ns gateway) (defn process [m] (println "gateway: " m)) (ns log) (defn write [m] (println "log: " m)) (ns controller (:use clojure.test)) (defn withdraw [& {:keys [balance withdrawal account-number]}] (let [new-balance (- balance withdrawal)] (if (> 0 new-balance) (log/write "insufficient funds") (gateway/process {:balance new-balance :withdrawal withdrawal :account-number account-number})))) (deftest withdraw-test (let [result (atom nil)] (binding [gateway/process (partial reset! result)] (withdraw :balance 100 :withdrawal 22 :account-number 4) (is (= {:balance 78, :withdrawal 22, :account-number 4} @result))))) (deftest withdraw-test (let [result (atom nil)] (binding [log/write (partial reset! result)] (withdraw :balance 100 :withdrawal 220 :account-number 4) (is (= "insufficient funds" @result))))) (run-all-tests #"controller") In general I use option 2 when I can get away with it, and option 3 where necessary. Option 3 adds enough additional code that I'd probably look into Midje quickly if I found myself writing a more than a few tests that way. However, I generally go out of my way to design pure functions, and I don't find myself needing either of these techniques very often. From http://blog.jayfields.com/2010/09/clojure-mocking.html

This article shows how to copy multiple properties from one bean to another with a single line of code, even if the property names in the source and target beans are different. Copying properties from one bean is quite common especially if you are working with a lot of POJOs, for example working with JAXB objects. Lets walk through the following example where we want to copy all properties from the User object -> SystemUser object Example: source and target objects // source object that we want to copy the properties from public class User { private String first; private String last; private String address1; private String city; private String state; private String zip; private String phone; // getters and setters // ... } // target object that we want to copy the properties to public class SystemUser { private String firstName; private String lastName; private String phone; private String addressLine1; private String addressLine2; private String city; private String state; private String zip; // getters and setters // ... } Example continued: Preparing the objects // initializing the source object with example values User user = new User(); user.setFirst("John"); user.setLast("Smith"); user.setAddress1("555 Lincoln St"); user.setCity("Washington"); user.setState("DC"); user.setZip("00000"); user.setPhone("555-555-5555"); // creating an empty target object SystemUser systemUser = new SystemUser(); Approach 1: Traditional code for copying properties systemUser.setFirstName(user.getFirst()); systemUser.setLastName(user.getLast()); systemUser.setPhone(user.getPhone()); systemUser.setAddressLine1(user.getAddress1()); systemUser.setAddressLine2(user.getAddress2()); systemUser.setCity(user.getCity()); systemUser.setState(user.getState()); systemUser.setZipcode(user.getZip()); Approach 2: Single line code for copying properties copyProperties(user, systemUser, "first firstName", "last lastName", "phone", "address1 addressLine1", "address2 addressLine2", "city", "state", "zip zipcode"); Parameters user – the source object systemUser – the target object first firstName – indicates that the “first” property of the source object should be copied to the “firstName” property of the target object last lastName – indicates that the “last” property of the source object should be copied to the “lastName” property of the target object phone – indicates that the “phone” property of the source object should be copied to the “phone” property of the target object …. and so on The underlying code uses Apache Commons BeanUtils code to copy the property value from the source to the destination. You can download the copyProperties code from Google Code. Simply copy the code to your project. The code requires apache BeanUtils. If you are using maven, you can get BeanUtils by adding the following to your pom.xml commons-beanutils commons-beanutils 1.8.3 From http://www.vineetmanohar.com/2010/08/copy-map-bean-properties/

The new Apple Magic Mouse is a controversial piece of hardware. Most people either really hate it or adore it. Personally, I think it is probably the best mouse I've ever used. There's a lot of criticism regarding the low profile of the mouse, suggesting it is not ergonomic. From my experience, I don't have any more wrist pains since I started using it. Ergonomics aside, the highlight of the mouse is the upper multi-touch surface with the enabled gestures. I use the back and forward gestures a lot. Especially when browsing the web. Swipe two fingers to the left and go back. Swipe right to go forward. It is very easy to get used to it. It works in web browsers, it works in Finder windows and native applications are adding support as well. However, it doesn't work in Eclipse. I want to swipe back and forward when browsing code. Back, go to previous location. Forward, return to the next location. I incidentally found a solution for that. There are many programs on the market that augment the Magic Mouse behavior. The reason for their existence is because Apple provides very limited gesture functionality. Other than back/forward and scroll, there's simply no support for other functions, not even Exposé or Spaces which were supported in the previous Mighty Mouse and are supported on the multi-touch trackpads. The most popular tools are MagicPrefs and BetterTouchTool (both free) but there are many others, free and commercial. Personally, I use MagicDriver, which is commercial (free while in beta). The reason I prefer it is because it has much lower CPU utilization, which was an issue for me in MagicPrefs. MagicDriver replaces the back/forward gestures with their keyboard equivalent: ⌘+[ and ⌘+]. These shortcuts are commonly used in OS X. Eclipse, by default, also uses these keyboard shortcuts to navigate back and forward. It just works. MagicPrefs and BetterTouchTool will require some customization: you can define the two finger swipe left and right to fire these keyboard shortcuts rather than use the default back/forward functionality. If you use a newer MacBook with a multi-touch trackpad or a Magic Trackpad, you can achieve the same functionality by using BetterTouchTool. AFAIK MagicPrefs does not support it and the current version of MagicDriver doesn't support it either. BetterTouchTool also has the ability to define gestures per application, so you can customize the behavior specifically for Eclipse and leave it as is for the rest of the applications. If you are new to these tools, I should warn you: defining too many gestures doesn't work very well. There are tons of options and it is very easy to get carried away and use as much as you can. However, there's probably a reason why Apple did not include support for all those gestures in the first place. It is very easy to "miss-fire" and perform gestures by accident. You don't always pay close attention to the number of fingers you have on the surface, so mistakes are very common. I just use a 3-finger click for expose. Don't be greedy and it will work just fine. Finally, if you want proper native support for back/forward gestures in Eclipse, you can vote for this bug.

Generics allows a type or method to operate on objects of various types while providing compile-time type safety, making Java a fully statically typed language.

Automated testing supports your constant effort in design and refactoring, and besides that ensures that your application actually works in a reliable and repeatable way. Tests at every level of detail are a form of executable specification and documentation. They give you immediate feedback and confidence that your code works, plus a satisfying green bar many times a day. I've been consulting on a Zend Framework application, with the goal of repairing the test suite and expanding it. In this article I'll describe the different categories of testing, as applied to a Zend Framework 1 application, but this classification pertains to every web application based on object-oriented programming. Since this kind of applications is obviously PHP-based, PHPUnit will be the tool of choice along with some of its standard extensions. For a panoramic of PHPUnit and its features, feel free to download my free ebook on the subject, which condenses much of the technical informations about it to a mere 50 pages. Let's start with the most debated and simple kind of testing - the one at the unit level. Unit testing Each unit tests target a unit of code in isolation - usually a class, and thus one or more objects instantiated from this class. The isolation property is what defines a unit test: its code must not have dependencies on other classes than the one under test, since they should be tested independently, by their own test classes. Since PHPUnit models a test case for a production code class as another class extending PHPUnit_Framework_TestCase, implementing unit testing leads very often to a parallel hierarchy of classes, where every Foo_Bar class has a corresponding Foo_BarTest test case. Given these premises, a unit test that fails tells you immediately where the error is: in the class it exercises. Moreover, it will be very fast to execute, since it works on only a single object at the time. Unit test should target mostly your models, and any code written by you that is not framework-specified: these would also be the classes that contain the majority of the business logic, and the most interesting to test. This code is usually composed of Plain Old PHP Objects and of subclasses of framework or library base classes when when they leave no other choice for integration. For writing unit tests, usually no external library other than PHPUnit is necessary. In a Zend Framework application you can usually reuse the bootstrap files, which set up things like autoloading, in the phpunit --bootstrap option or by defining it in the phpunit.xml configuration file. This way it will be executed only once for each test suite run. I prefer to leave initialization of the single components to test in the test cases itself, to ensure maximum isolation. However, a simpler and standard solution is to just run the whole Bootstrap class, with a custom configuration (application/config/application.ini), which 'testing' environment section is created by default by Zend_Tool. Pragmatic unit testing That's not a standard name. In some cases, you should also be pragmatic: you cannot usually mock all the external resources, nor you should since mocking a contract which you can't change can lead you to madness. You should configure a lightweight version of your dependencies and test with them. For example, if you're using the Doctrine Object-Relational Mapper, you must test the interaction with the database somewhere, and mocking the whole Doctrine infrastructure will be prohibitive and unuseful. The standard practice here is to use the real Doctrine infrastructure to test database-coupled classes, like Repositories and Data Access Objects, but to instantiate a lightweight database like an sqlite in-memory one which is much faster in its operations than a production one. This database can then be discarded or truncated at the end of each test to ensure no global state is shared between test cases. The downside in this approach is that sqlite is not the real database; one time I was testing with it and due to a bug (feature?) in Doctrine 1 the code failed in MySQL while passing with Sqlite. The reason was sqlite does not support foreign key constraints and was simply ignoring them, while MySQL correctly throwed exceptions when they were violated. Moreover, these tests are never fast as the ones totally isolated from external libraries. The upside is that the tests for classes interacting with the database via Doctrine or another ORM still have the benefit of the unit level: when the test fail, it is clear that the related production code class has encountered a regression, because the ORM code is only imported in discrete, distant points of time, when the test suite is green, and so could never change while you're expanding your code. Nevertheless this kind of testing should be applied only to the adapters of your application, which constitute the boundary of the object graph towards external components like databases, web services or the filesystem. Functional testing Functional testing's goal is to exercise a medium-sized object graph, without instantiating the whole application, to a cover a full functionality and make sure the classes adhere to the same contract. For example, these tests can target a service layer built upon your Domain Model, if you want to enhance to cover your factories or DI mechanisms. In other cases, they can target the controllers: this happens when you have supplemental logic on the client side. In case of functional testing on plain old classes, PHPUnit suffices again. In case you target controllers instead, the Zend_Test component gives you a Zend_Test_PHPUnit_ControllerTestCase class which you can extend to gain helper functionalities. Basically, every test method of a Zend_Test test case makes at least a HTTP request. The helper test case sets up a fake HTTP request and response objects in every setUp(), and lets you check the result, being it written HTML (via querying and asserting), XML or JSON. Integration testing Integration tests target an external component such as a library to ensure the expectations of the developers on it are met. Integration tests are usually started as exploratory tests, which are used to learn about the library and to encapsulate this knowledge into a repeatable, executable form. With time, they become regression tests, which allow you to upgrade the library to a new release or version by catching the changes in behavior. Some of these tests target the PHP runtime itself, to check for example that an extension assumed as present is really available. For example, this week we were surprised when a === check inside a Domain Model class was failing. We started writing integration tests for Doctrine_Query, and it turned out that PDO and Doctrine returned strings for numeric fields on their Active Record. By having a specific test to cover our expectations, we understood where our assumption was wrong, and cease to suspect a bug in our own code where the === resided. For this kind of test, again only PHPUnit is necessary; moreover, you'll have to bootstrap the involved library, but it can be simply a matter of adding it to the include_path. Acceptance testing Acceptance tests are end-to-end tests, which see the application as a black box. They exercise the behavior of the whole application, from the user inserting data to the reports created and the actions performed as a consequence. These tests are much slower, but they work on the end result of your work, and define what the user will see and interact with. For old-style applications, which do not involve rich clients, Zend_Test is usually enough for these kinds of tests. A thin layer of CSS expression built over it in order to check the pages without duplicating the same selectors all over the suite may help. However, for Javascript-rich apps, a tool like Selenium is necessary. Selenium drives a real web browser to a fresh instance of your application, and execute your tests, which can be defined manually or via a record-and-replay browser extension. Many PHPUnit extensions offer the means for connecting to a Selenium server, which manages the browsers, and navigate the web application. As a result of its focus on real web browsers such as Firefox and Chrome, Selenium tests are much slower than Zend_Test ones. However, they are the only tool available to execute acceptance tests which involve JavaScript. Conclusion Note that everyone of these kinds of tests (except the integration ones) can be written before the production code it exercises. Unit tests ahead of their referred class; functional tests ahead of the Facade they target; acceptance tests before a whole vertical slice of functionality is implemented. Moreover, if you're doing Test-Driven Development you should in general start at the higher level of abstraction (acceptance) and descending into the lower levels as needed. These different types of testing are always present, maybe as a small part of the suite, in every web application of moderate size. Learning to recognize them when they emerge will help you organizing the test suite better and maintaining it productive and responsive to change.

Before I go any further with this discussion, I must say that I have nothing against grids or any container control that can be used in a WPF application. I’m talking about some possible incorrect usage of the grid caused by outdated habits, as well as showing a good solution to implement the same functionality. So here is the plan - I am working on an application that has several separate zones. There is a sidebar, a custom status bar and a zone designed for a custom toolbar. The general layout for it would look like this: So what’s the first idea that comes to mind when you need to implement this? If you would work on a WinForms application, you’d probably throw a bunch of Panel controls on the form and dock them properly. Some developers who make the transition from Windows Forms to WPF often try to do the same in a WPF application. What they don’t know (yet) is that this approach is generally the wrong way to take. Not that it will have terrible consequences, but it will ensure the use of some extra controls that could be avoided. So what’s up with adding a few more grids on the window? First of all, if I wanted to re-create the UI structure like it is shown on the image above, I will have to have at least three grids (highlighted – you can consider any container control out there). And you might actually consider adding a fourth container for the main content. Four additional controls that need to be correctly docked and anchored inside the form - not really the best option when you plan to do work on a lot of UI modifications, since this will possibly create a mess – when you will incorrectly anchor something, it might eventually cause overlaps and misplacements. The alternative scenario to this would be using a single grid and dividing it in several rows and columns (I am yet to see a massive adoption of this method to use the Grid control, though). For the UI shown, I created a sample window: Now, inside the Grid markup element, I can define specific rows that will be present inside the main grid. This is done through Grid.RowDefinitions: Now I have three separate rows that make the grid look like this: For the first and last row, I am explicitly defining the height, while for the middle one I am just specifying that it will take the rest of the space available. I would also need a column for the sidebar, so all I have to do is set the Grid.ColumnDefinitions: That’s it! You’ve got the basic structure for the UI set up. Now you can reference controls to their own cell by using Grid.Row and Grid.Column properties. For example, if I want to place a TextBox control inside the main (the largest) cell, I can do it like this (given that the control is placed inside the defined grid): But what about the ribbon toolbar placeholder? There are obviously two cells in the top row and there is no possibility to set the Grid.Column property twice, but I’d like to have it span across both cells. In this case, Grid.ColumnSpan comes to save the day and it gives you the ability to span a control across multiple columns. Here is an example where I am spanning a button over the top two columns: Since the initial point is the topmost left corner, I don’t have to specify the container column and row. The ColumnSpan property defines the number of columns across which the control will be spanned. The same can be done with rows, and the same button can be spanned across the entire sidebar – all three rows, with the help of RowSpan: What I really like about this method, is that after all I don't have to handle the docking and anchoring (if needed) on my own for the base layout. This way, I can easily modify the UI without being worried about possible overlaps or misalignments, since everything is designated to a specific column and/or row.

I’ve seen my fair share of projects migrating from Ant to Maven, and, for a complex project, this migration path can take some time. You have to worry about dependency management, project structure, and retraining an existing team to use Maven and understand the core concepts behind the tool. When you make the shift, you are often affecting development infrastructure for an existing project, and you need to take into account development environments as well as developer’s ideas about how code should be organized and stored in source control. In this post, I’m going to discuss a common pattern I’ve seen in Ant to Maven migrations: how to migrate the monolithic project. A Common Pattern: The Monolithic Project Ant projects which have evolved over many years often lack modular structure. While it is certainly possible to create the equivalent of a multi-module Maven project in Ant, the usual progression in an Ant project is to store all of your source in a single tree and use extra targets to selectively compile different packages. This approach is shown in the following figure. In the most extreme cases, there is a single project which contains an array of modules. Maybe you have an entire enterprise system all stored in a single project alongside a complex Ant build.xml file which contains a collection of tasks for each component. A monolithic Ant project usually produces a series of artifacts: a JAR containing some API for clients, a server-side web application, a utility library, etc. Developers have usually grown so accustomed to this approach that the idea of splitting up a complex system into a series of related submodules can see daunting. Moving to Maven: Do we need all these projects? One of the first questions I get in a Maven migration from Ant is whether it is really necessary to modularize a project. “Do we really need to create all these projects for Maven?” (Short answer: Yes, there is no avoiding this.) This is usually accompanied by a concern that Maven limits each project to producing a single artifact. These are two core assumptions of Maven: your projects will be modularized and each project should produce a single build artifact. Now, while these are core assumptions, there are ways around them, and I’ve even seen people go to extreme lengths in an attempt to preserve this single, monolithic project. You can create an elaborate set of profiles to modify the build depending on the context in which it is run, and you can attach extra build artifacts to a project using assemblies. Even though Maven makes assumptions about code layout and project structure, it can do just about anything, and in this case, it can be used to approximate the monolithic, combined Ant project. If you do this, if you try to trick Maven the first thing you’ll notice is that your monolithic project’s POM is going to be somewhat unwieldy: it is going to be massive. Instead of a simple, declarative picture of a project, you are going to have a POM that contains multiple assembly definitions. Each assembly definition is going to have to explicitly define the structure of your build artifacts and you are going to find yourself venturing into includes and excludes patterns for things like the Maven Compiler plugin. In other words, you are going to have to expend a huge amount of effort to bend Maven to your assumptions. If you do this, you really won’t be using “Maven”. You’ll be using your own interpretation of Maven, and once you go down this road, you are going to start having problems using standard tools designed for Maven. In short, don’t do this. Don’t try to bypass Maven’s approach to modularity with assemblies and profiles. If you do, you are going to find yourself “swimming upstream”, and your first hint is going to be the size and complexity of your POM files. I’ve certainly created some complex POMs in my time, but I only need to do this for projects that really require customization because they are doing something unique (see the POMs for the Maven book builds, they are large and extremely customized). If you are creating web applications, EARs, and simple Java applications you shouldn’t have large POMs. If you do, it is probably a sign that you have ventured too far “off the map”. While you might be building your project with “Maven”, there is likely something wrong with your approach. If you find yourself constantly challenging an assumption as basic as project modularity, then you need to either rethink using Maven entirely or rethink your project structure. Adopting Maven Means Adopting Modular Structure If you are going to adopt Maven, you must adopt a modular project structure. If you don’t you will be fighting an uphill battle with Maven and the tools that have been designed to work with it. You will be fighting not only with Maven, but you’ll be doing constant battle with your IDE and your repository manager. If you are moving from Ant to Maven, do you yourself a favor. Adopt a modular project structure. Don’t approach Maven as a “toolbox” like Ant with tasks and targets. Approach Maven as a framework with expectations and assumptions. If you do this, you’ll have a much easier time adopting the tool. From http://www.sonatype.com/people/2010/08/how-to-migrate-from-ant-to-maven-project-structure/

whenever you hover over any piece of code in eclipse, it pops up a tooltip that displays more information about the item, such as its declaration, variable values or javadoc information, as in the example below. although useful at times , this becomes extremely annoying after a while, especially when you’re using your mouse to browse some code. popup after popup of unwanted information keeps obscuring your view of the code, leading to some lengthy expletives and big productivity loss. it’s useful information, but not every time all the time , almost like your car’s gps giving you directions to 10 different places at once while you’re still parked in the driveway. luckily there is a way to alleviate the problem and all it takes is changing some preferences in eclipse. we don’t want to completely disable tooltips (they can be useful), so i’ll show you how to tell eclipse to bring up the tooltips only when you request them. show tooltips only on request to tell eclipse to only show tooltips on request, do the following: go to window > preferences > java > editor > hovers . select the source item in the list. make sure the entire row is highlighted and that the checkbox is selected. move focus to the pressed key modifier while hovering field, positioning the cursor at the end of the default value shift . press and release ctrl . the value should now read shift+ctrl . if you made a mistake, just clear the field by pressing backspace or delete and try again. select the combined hover item in the list. move focus to the pressed key modifier while hovering field and press shift . the value should now read shift . click ok to accept the changes. the preferences should look something like this: you should now notice the following: if you want to show the javadoc or the declaration of some element hold down shift while hovering over the element. variable values won’t popup automatically anymore. to show a variable’s value in debug mode, press shift and hover over the variable. this is probably the only time when it’s a bit of a hassle to press shift, but the pros totally outweigh the cons here as i view variable values a lot less than the number of times annoying tooltips appear. if you want to show a quick preview of a method’s code, press ctrl+shift and hover over the method. this is a nice feature combined with the tooltip enrichment eclipse provides, so you can view a method’s code in a scrollable tooltip without having to navigate to the method and back again. other options – configure, disable or use the keyboard you can, of course, choose your own modifier keys in preferences, but these are the ones i found that work the best, especially given that ctrl and a click is a way to go to an element’s declaration or implementation in eclipse. i’ve found shift to conflict the least with existing features and easy enough to use on a frequent basis. keep in mind that 2 hovers can’t share the same modifier key (which is why we reassigned the source hover to use shift+ctrl ). you can also disable tooltips completely by deselecting the combined hover checkbox in the preference above, but i’ve found the shift key to be a nice middle ground so keep it enabled. to get similar information using the keyboard, press f2 while the cursor’s positioned on the code. to show variable values in debug mode, press ctrl+shift+d . a nice tip if you’ve disabled tooltips completely. from http://eclipseone.wordpress.com/2010/08/24/configure-tooltips-in-eclipse-to-only-popup-on-request/

CountDownLatch is one of the classes that was added to the Java 5 concurrency package. It allows one or more threads to wait until a set of operations being performed in other threads are completed. In this article, I will talk about two use-cases where CountDownLatch can be used: Use-case 1 : Achieving Maximum Parallelism Sometimes we have a use-case where we want to start a number of threads at the same time to achieve maximum parallelism. For example, we want to test a class which creates a single instance of some class. public class ObjectFactory { private volatile MyObject object; public MyObject getInstance() { if (object == null) { synchronized (this) { if (object == null) { object = new MyObject(); } } } return object; } } Now we need to test that this class will only create a single instance of MyObject even when multiple threads access it parallely. To test this we will create a CountDownLatch and initialize it with 1. Then each thread will wait in its run method until the count down of the latch reaches zero. Because CountDownLatch is initialized with 1, a single thread call to countDown method will trigger all other threads to start at approximately the same time. @Test public void shouldCreateOnlySingleIntsanceOfAClassWhenTestedWithParallelThreads() throws Exception{ final ObjectFactory factory = new ObjectFactory(); final CountDownLatch startSignal = new CountDownLatch(1); class MyThread extends Thread { MyObject instance; @Override public void run() { try { startSignal.await(); instance = factory.getInstance(); } catch (InterruptedException e) { // ignore } } } int threadCount = 1000; MyThread[] threads = new MyThread[threadCount]; for (int i = 0;i< threadCount;i++) { threads[i] = new MyThread(); threads[i].start(); } startSignal.countDown(); for (MyThread myThread : threads) { myThread.join(); } MyObject instance = factory.getInstance(); for (MyThread myThread : threads) { assertEquals(instance, myThread.instance); } } Use-case 2 : Wait for several threads to complete The second use-case arises when we want to wait for several threads to complete their work. In this scenario we will initialize the CountDownLatch with the number of threads we want to wait for and then each thread will call the countDown method on finishing its work. We will use the same example used in the first use-case where we used the method to make one thread wait for another thread to complete its work. @Test public void shouldCreateOnlySingleIntsanceOfAClassWhenTestedWithParallelThreads() throws Exception { int threadCount = 1000; final ObjectFactory factory = new ObjectFactory(); final CountDownLatch startSignal = new CountDownLatch(1); final CountDownLatch stopSignal = new CountDownLatch(threadCount); class MyThread extends Thread { MyObject instance; @Override public void run() { try { startSignal.await(); instance = factory.getInstance(); } catch (InterruptedException e) { // ignore } finally { stopSignal.countDown(); } } } MyThread[] threads = new MyThread[threadCount]; for (int i = 0; i < threadCount; i++) { threads[i] = new MyThread(); threads[i].start(); } startSignal.countDown(); stopSignal.await(); MyObject instance = factory.getInstance(); for (MyThread myThread : threads) { assertEquals(instance, myThread.instance); } }

This post will walk through how to resize an ExtJS Panel, Grid, Component on Window Resize without using Ext.Viewport. Problem: You have a legacy page and you want to change an html grid for an ExtJS DataGrid, because it has so many cool features. Or you have a page with some design and you are going to use only one ExtJS Component. In both cases, you also want to render your ExtJS Component to a specific DIV. Also, you want you component to be resized in case you resize the browser window. How can you do that if resize a single component in an HTML page it is not the default behavior of an ExtJS Component (except if you use Ext.Viewport)? Solution: Condor (from ExtJS Community Support Team) developed a plugin that can do that for you. I had to spend some time to understand how the plugin works, and I finally got it working as I wanted. Well, I recommend you to spend some time reading this thread: http://www.sencha.com/forum/showthread.php?28318 (if you have any issues or questions, please publish it on the thread, so other members can give you the support you need). Requirements to make the plugin work: Your have to apply the following style to the DIV (the width is up to you, the other styles are mandatory, otherwise it will not work): If you have any border around your ExtJS component, you have to set a HEIGHT. And you will also have to set a height to your ExtJS component. In this case, autoHeight will not work. If you DO NOT have any border or other design on the ExtJS component side, you do not need to set height and you can use autoHeight. In my case, I put a border on the external DIV, so I have to set Height: HTML code (all DIVs): And you need to add the plugin to the component (In this case, I’m using an ExtJS DataGrid): var grid = new Ext.grid.GridPanel({ store: store, columns: [ {header: 'Company', width: 160, sortable: true, dataIndex: 'company'}, {header: 'Price', width: 75, sortable: true, renderer: 'usMoney', dataIndex: 'price'}, {header: 'Change', width: 75, sortable: true, renderer: change, dataIndex: 'change'}, {header: '% Change', width: 75, sortable: true, renderer: pctChange, dataIndex: 'pctChange'}, {header: 'Last Updated', width: 85, sortable: true, renderer: Ext.util.Format.dateRenderer('m/d/Y'), dataIndex: 'lastChange'} ], stripeRows: true, autoExpandColumn: 'company', height: 490, autoWidth:true, title: 'Array Grid', // config options for stateful behavior stateful: true, stateId: 'grid' ,viewConfig:{forceFit:true} ,renderTo: 'reportTabContent' // render the grid to the specified div in the page ,plugins: [new Ext.ux.FitToParent("reportTabContent")] }); And done! Now you can resize the browser and the component will resize itself! I tested it on Firefox, Chrome and IE6. You can download my sample project from my GitHub: http://github.com/loiane/extjs-fit-to-parent PS.: If you want to use the full browser window, use a Viewport. Happy coding!

Welcome to episode two of our series "The Seven Wastes of Software Development." In , we introduced the concept of eliminating waste from our software development efforts. Waste elimination can be traced all the way back to the the mid-1900's, the birth of lean manufacturing, and the Toyota Production System (TPS). This is how Taiichi Ohno, the father of the TPS, described its essence: All we are doing is looking at the time line, from the moment the customer gives us an order to the point when we collect the cash. And we are reducing the time line by reducing the non-value adding wastes. [1] Read the other parts in this series: As you can see, eliminating waste is primarily about speed. How can we reduce the length of the time line? Think about all of the things that slow you down when you're implementing a feature. Think about all of the things that you must do (or undo!) just so that you can get your "real work," that work that actually adds value to the customer, done. This is your overhead. Overhead equals waste. The first source of waste that we're going to focus on is partially done work. What is it about partially done work that slows us down? How does it make our jobs as developers more difficult? After all, isn't everything partially done before it's finished? To understand why partially done work is so wasteful, you have to look back at the manufacturing waste that it's drawn from: inventory. For a word on inventory, let's look back at a segment of my earlier article on Kanban: Minimization of inventory (or WIP) is a hallmark of lean thinking, as inventory is considered a key "waste" of any process. Managing high amounts of inventory (or WIP) increases costs (i.e. warehousing, tracking, loss of value over time, etc.) and hides inefficiencies in the process. By minimizing inventory, we can decrease costs and call attention to process inefficiencies so that they can be improved. As you can plainly see, it's the management of HIGH AMOUNTS of inventory that's the problem. Following from that, we can see that it's the management of HIGH AMOUNTS of partially done work that's the problem. So what are some of the problems with partially done work? Partially done work often becomes obsolete long before it's ever finished. Until software code is released into production, you have no clue whether or not it solves the business problem at hand. And because business problems are a moving target anyway, it's quite likely that you'll solve yesterday's problem rather than today's problem. Or as a wise man once said, you might reach the top of the ladder only to find its leaning against the wrong wall! Partially done work ALWAYS gets in the way of other work. Any work that's not checked-in, integrated, tested, and deployed gets in the way of any other development efforts. How many times has an urgent task arrived at your desk and you had to shelve a bunch of code to get back to a stable state? How many times have you been afraid to check-in your code at the end of the day because you're not confident about what you have on your desktop? How long did you let that go? How much harder did it get to work the longer you waited to integrate? These are the questions that show us just how wasteful partially done work can be. So what are some of partially done work's manifestations? The Poppendieck's provide us with an excellent list in Implementing Lean Software Development [2]: Uncoded Documentation - Requirements/features/stories/etc. that are documented far in advance of coding will quickly become obsolete, forcing this work to be repeated before value can be delivered. Unsynchronized Code - Code that sits on a developer's workstation for a long period of time makes integrating that code into the shared repository a more difficult task. The same can be said for multiple source control branches that live for long periods of time before being merged into the main line. Untested Code - Code without associated automated tests is a breeding ground for bugs. Without tests, you have no way to prove that your code works immediately and repeatably. Undocumented Code - Of course, the ideal is self-documenting code. But if you must have separate documentation artifacts, they must be developed in parallel with the code. Otherwise you're only extending the timeline and increasing the chance for errors. Undeployed Code - the longer you hold on to your code, the longer it takes to find out if it solves your users problems and delivers value. Also, the longer you wait to deploy, the greater the inventory of undeployed new features. Deploying in a "big bang" will easily overwhelm your users. Jack Milunsky mentions an additional manifestation in his article on waste #1: commented out code. How many times have you seen the following: // Save this in case we need it later /* Foo foo = new Foo("Foo"); ... foo.save(); */ While it is indeed true that you might need this later, it doesn't take much leg work to recover it from your source control system. Commenting out "dead" code for later resuscitation only makes the software less readable and maintainable. I'd like to point out yet another manifestation: copy and paste "reuse." Lifting code from one class and dropping it verbatim into another class is incredibly bad form. If the original code was buggy, all you've done is clone the bug. Copied and pasted code tends to reproduce much like a virus would. Let's assume the best and say that the code was clean and correct. As soon as the business logic needs to change, you have to remember all of the locations and touch them all. It's exactly like storing up inventory for future processing. Processing that is almost guaranteed to happen. That's all for this episode of "The Seven Wastes of Software Development." Stay tuned for the next installment: Extra Features. References [1] Ohno, Taiichi. Toyota Production System: Beyond Large Scale Production. Productivity Press, 1988. [2] Poppendieck, Mary and Tom. Implementing Lean Software Development: From Concept to Cash. Addison-Wesley, 2006.

A while back, I ran a poll here on JavaLobby to find out why people became software developers. The answers were varied, from computer science being a convenient choice, to money. But the most common themes were that developers "knew" that it was right for them when they started writing programs, and that people were interested and excited by the future of technology. Developing software is fairly addictive: you start with a blank file, and at the end you have something that at the end is (probably) useful at the very least, and possibly brilliant at the other extreme. The amount of change in the industry is fascinating. From acquisitions, to new frameworks, new programming languages and new technologies, developers are never bored. I definitely believe that right now is a to be a software developer. The range of devices that are available to us to create application is astounding. And this is what motivates me most right now - that almost any idea I have can be implemented thank to mobile devices, and people being connected to the internet 24-7. As well as developing for these devices (iPhone and iPad), I love using these devices and seeing what other people are doing. Some applications are amazing, but quite simple, such as FlipBoard. Is there any reason I couldn't do it? Probably not. Keeping up with my peers and having the opportunity to create great applications really motivates me. I'd like to see what makes other developers tick. Why are you still developing software?

Working together day after day is an intense human experience, with all the glories and warts that emerge from constant interaction between these astonishing, disappointing, challenging, infuriating, magnificent, normal human beings we call team members. On an agile team, especially, we see this, and in our pursuit of excellence we know that conflicts arise and that we can expect both harmony and disharmony. Navigating conflict is our new mind-set, in which we help teams move from conflict to constructive disagreement as a catapult to high performance. Editor's Note: This article has been excerpted from Lyssa Adkin's book, "Coaching Agile Teams" (Addison-Wesley Signature Series (Cohn), July 2010). The Agile Coach’s Role in Conflict Coaching teams to navigate conflict may feel unfamiliar or uncomfortable to you. It did for me, even though books, articles, and studies on the subject abound. As a plan-driven project manager, I didn’t have to “go there” in the face of conflict very often because team members joined the team and left the team as we moved from phase to phase. If my feeble attempts to resolve a conflict failed, no big loss. Sooner or later, the team members in conflict would move on to other projects. With agile, however, team members stay together throughout the project. They do not move on, nor does the conflict. Given this, the agile coach faces conflict squarely, skillfully determines the severity of it, mindfully decides whether to intervene and how, generously teaches teams to navigate it, and courageously refuses to settle for a team that shrinks from greatness by avoiding it. As their coach, you help teams navigate conflict. You show them a method. You can’t give them a full-color, waterproof chart that marks the shoals and hazards. You can give them something more precious, more powerful. You can give them a guide, a framework, so that they create their own charts, whenever they need to do so. Five Levels of Conflict An agile team humming along in the rhythm of steady momentum will display conflict all the time—minor quips at one another, rolling eyeballs, heavy sighs, emotional voices, stony silences, tension in the air. You’ll witness dry wit, teasing, “just joking” comments, or just-short-of-snide remarks, all in the range of normal for an agile team. These behaviors signal normalcy for any group of people who spend considerable time together and who create a shared history. It happens in neighborhoods, community coffeehouses, churches, and agile teams—especially agile teams—where team members sit arm’s distance apart for hours on end every day while they create products together, all the while responding to the built-in pressure of the timeboxed sprint. Conflict, ever present, can be normal or destructive, and the two can be hard to tell apart. An author of many books on conflict, Speed Leas offers us agile coaches a framework we can use to determine the seriousness of the conflict (1985). This model, well suited to agile teams, looks at conflict in a deeply human and humane way. As depicted in Figure 9.1, it forms an escalation path of conflict from “Level 1: Problem to Solve” to “Level 5: World War.” (Click for larger image) Figure 9.1 Five levels of conflict Level 1: Problem to Solve We all know what conflict at level 1 feels like. Everyday frustrations and aggravations make up this level, and we experience conflicts as they rise and fall and come and go. At this level, people have different opinions, misunderstanding may have happened, conflicting goals or values may exist, and team members likely feel anxious about the conflict in the air. When in level 1, the team remains focused on determining what’s awry and how to fix it. Information flows freely, and collaboration is alive. Team members use words that are clear, specific, and factual. The language abides in the here and now, not in talking about the past. Team members check in with one another if they think a miscommunication has just happened. You will probably notice that team members seem optimistic, moving through the conflict. It’s not comfortable, but it’s not emotionally charged, either. Think of level 1 as the level of constructive disagreement that characterizes high-performing teams. Level 2: Disagreement At level 2, self-protection becomes as important as solving the problem. Team members distance themselves from one another to ensure they come out OK in the end or to establish a position for compromise they assume will come. They may talk offline with other team members to test strategies or seek advice and support. At this level, good-natured joking moves toward the half-joking barb. Nastiness gets a sugarcoating but still comes across as bitter. Yet, people aren’t hostile, just wary. Their language reflects this as their words move from the specific to the general. Fortifying their walls, they don’t share all they know about the issues. Facts play second fiddle to interpretations and create confusion about what’s really happening. Level 3: Contest At level 3, the aim is to win. A compounding effect occurs as prior conflicts and problems remain unresolved. Often, multiple issues cluster into larger issues or create a “cause.” Factions emerge in this fertile ground from which misunderstandings and power politics arise. In an agile team, this may happen subtly, because a hallmark of working agile is the feeling that we are all in this together. But it does happen. People begin to align themselves with one side or the other. Emotions become tools used to “win” supporters for one’s position. Problems and people become synonymous, opening people up to attack. As team members pay attention to building their cases, their language becomes dis-torted. They make overgeneralizations: “He always forgets to check in his code” or “You never listen to what I have to say.” They talk about the other side in presumptions: “I know what they think, but they are ignoring the real issue.” Views of themselves as benevolent and others as tarnished become magnified: “I am always the one to compromise for the good of the team” or “I have everyone’s best interest at heart” or “They are intentionally ignoring what the customer is really saying.” Discussion becomes either/or and blaming flourishes. In this combative environment, talk of peace may meet resistance. People may not be ready to move beyond blaming. Level 4: Crusade At level 4, resolving the situation isn’t good enough. Team members believe the people on the ”other side” of the issues will not change. They may believe the only option is to remove the others from the team or get removed from the team themselves. Factions become entrenched and can even solidify into a pseudo-organizational structure within the team. Identifying with a faction can overshadow identifying with the team as a whole so the team’s identity gets trounced. People and positions are seen as one, opening up people to attack for their affiliations rather than their ideas. These attacks come in the form of language rife with ideology and principles, which becomes the focus of conversation, rather than specific issues and facts. The overall attitude is righteous and punitive. Level 5: World War “Destroy!” rings out the battle cry at level 5. It’s not enough that one wins; others must lose. “We must make sure this horrible situation does not happen again!” Only one option at level 5 exists: to separate the combatants (aka team members) so that they don’t hurt one another. No constructive outcome can be had. What Should You Do About It? The goal of navigating conflict is to de-escalate. Knock it down a notch or two. As the agile coach, the first and most important question to answer is “Do I have to respond?” First, Do Nothing Agile teams—even new ones and even broken ones—can often navigate conflict by themselves, even conflict up into the level 3 range. So, sit back for a while and witness their moves. See whether they make progress. Even if it’s not perfect or the “complete” job you could do for them, if team members navigate the conflict well enough, leave them alone. To help you live with the uncomfortable feeling of watching a team’s bumbling attempts to deal with conflict, remember these words from Chris Corrigan in The Tao of Holding Space: “Everything you do for the group is one less thing they know they can do for themselves” (Corrigan 2006). The team’s bumbling is better than your perfect plan. Remember the goal of supporting the team’s self-organization (and reorganization). Your discomfort is a small price to pay. But what if you’ve decided to intervene? If you feel you have observed long enough (which should feel like a really long time) and decided to intervene, there are a few response modes you can employ: analyze and respond, use structures, and reveal. These come in order from least to most powerful for the goal of fostering self-organization. Analyze and Respond This may be the most comfortable response mode an agile coach can use because it feels familiar and at least somewhat analytical. To use analyze and respond, the agile coach considers these questions (Keip 1997): What is the level of conflict? What are the issues? How would I respond as side A? How would I respond as side B? What resolution options are open? What should I do (if anything)? When using the analyze-and-respond mode, remember that no one has the whole story. Each person’s perspective is valid and needed. If there are ten team members, you can bet there are at least ten perspectives, each of which is true in the eye of the beholder. What is your knee-jerk reaction when conflict arises? Agile coaches must be able to name that reaction and consciously choose it or reject it in service to the team. See Chapter 3, “Master Yourself,” for ways to keep yourself solidly rooted when unexpected things happen with teams. Things like conflict. Table 9.2 provides a map of successful response modes at each level. Look to this to help answer the question “What resolution options are open?” when addressing conflict in the whole-team setting (Keip 2006). Table 9.2 Conflict navigation response modes at each level When the team de-escalates, they get more options for dealing with the conflict as the tools from the next level down become available to them. The analyze-and-respond mode for navigating conflict may feel comfort-able to you—an easy shoe to slip on. If that’s the case and if it seems the best choice for your current level of skill and confidence, use it. However, you should know that it is the weakest response mode for building high-performance teams because it puts the coach in the driver’s seat. It also relies completely on analytical thinking, which is just one small way to think about conflict. So, as you feel ready, try the next two response modes.

In my previous post I showed how to pass parameters in EL methods. In this post, I will describe how to call static methods from EL. Step 1: Download Call.java and ELMethod.java Download the classes Call.java and ELMethod.java, and copy them to your project. Step 2: Add an instance of Call.java as an application scoped bean There are many ways to do this, depending on this technology you are using. Here are some examples: How to set request scope in JSP request.setAttribute("call", new Call()); How to set session scope in JSP session.setAttribute("call", new Call()); How to set application scope from Servlet this.getServletContext().setAttribute("call", new Call()) How to set application scope from JSP How to set application scope in Seam Add these annotations to your class @Name("call") @Scope(ScopeType.APPLICATION) Step 3: Call any static method from EL as follows Let us say you have a static method which formats date. package com.mycompany.util; import java.text.SimpleDateFormat; import java.util.Date; public class DateUtils { public static String formatDate(String format, Date date) { return new SimpleDateFormat(format).format(date); } } You can call the above static method from EL as follows. Here “account” is a request scoped bean with a Date property call “creationDate”. ${call["com.mycompany.util.DateUtils.formatDate"]["MMM, dd"][account.creationDate]} In general the format is: ${call["full.package.name.MethodName"][arg1][arg2][...]} Note: Use map notation with [square brackets] when passing arguments to ${call} First argument is the full package name + “.” + method name If the static method you are calling takes arguments, simply pass those arguments using more [square brackets] Overloaded methods are not supported, i.e. you cannot call methods where two methods with the same name exist in the class References Call.java source code from my Google code project ELMethod.java source code from my Google code project How to pass parameters in EL methods From http://www.vineetmanohar.com/2010/08/calling-static-methods-from-el/