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Developing Android Apps with NetBeans, Maven, and VirtualBox
I am an experienced Java developer who has used various IDEs and prefer NetBeans IDE over all others by a long shot. I am also very fond of Maven as the tool to simplify and automate nearly every aspect of the development of my Java project throughout its lifecycle. Recently, I started developing Android applications and naturally I looked for a Maven plugin that would manage my Android projects. Luckily I found the maven-android-plugin which worked like a charm and allowed me to use Maven for developing my Android projects. The Android Emulator from the Android SDK seemed unusably slow. Lucklily, I found a way to use an Android Virtual Machine for VirtualBox that worked nearly as fast as my native computer! This page documents my experiences. Tested Environment Dev machine: Ubuntu 11.04 Linux IDE: NetBeans VirtualBox: 4.0.8 r71778 Android SDK Revision 11, Add on XML Schema #1, Repository XML Schema #3 (from About in SDK and AVD Manager) Android Version: 2.2 Overview of Steps Download and install the Android SDK on your dev machine Attach an Android Device to dev machine Configure and load your device for development and other use Create an initial Android maven project Connect Android Device to Android SDK Debug Android app using NetBeans Graphical Debuger Download and Install Android SDK Download and install the Android SDK on your dev machine as described here. Make sure to set the following in dev machine ~/.bashrc file: export ANDROID_HOME=$HOME/android-sdk-linux_x86 #Change as needed export PATH="$ANDROID_HOME/tools:$ANDROID_HOME/platform-tools:$PATH" Attaching an Android Device to Dev Machine If you have an actual device that is usually always best. If not, you must use a virtual Android device which usually has various limitations (e.g. no GPS, Camera etc.). The Android SDK makes it easy to create a new Virtual Device but the resulting device is painfully slow in my experience and not usable. Do not bother with this. Instead, create a virtual Android device using VirtualBox as described in the following steps: Install virtual box and initial Android VM as described here: http://androidspin.com/2011/01/24/howto-install-android-x86-2-2-in-virtualbox/ http://geeknizer.com/how-to-run-google-android-in-virtualbox-vmware-on-netbooks/ Configure Android VM so it is connected bidirectionally with your dev machine over TCP as described here: http://stackoverflow.com/questions/61156/virtualbox-host-guest-network-setup I used the approach of configuring a HOST ONLY network adapater and a second NAT adapter on the Android VM within virtual box. Configuring your Android Device This section describes various things I did to setup a dev environment for my Android device: Root the device. I used Universal AndRoot Install ConnectBot so you have ssh and related network utilities Creating Initial Android Maven Application Create initial project using instructions here. I found it best to create stub project structure using the maven-archtype-plugin and the archtypes at https://github.com/akquinet/android-archetypes/wiki Connecting Android VM Device to Android SDK In order for your code to be deployed from NetBeans IDE to Android Device and in order for you to monitor your deployed app from the Dalvik Debug Monitor (ddms) you need to connect your android VM device to the android sdk over TCP as described in the following steps. On Android Device open the Terminal Emulator Type su to become root (your device must be rooted for this Type following commands in root shell: setprop service.adb.tcp.port 5555 stop adbd start adbd Type the following commands on dev machine shell. TODO: Note that IP address below is whatever is the ip address associated with the device (see ifconfig on linux for device vboxnet0) adb tcpip 5555 adb connect 192.168.0.101:5555 For details on above steps see: http://stackoverflow.com/questions/2604727/how-can-i-connect-to-android-with-adb-over-tcp Set up port forwarding as described here http://redkrieg.com/2010/10/11/adb-over-ssh-fun-with-port-forwards/ (this is where I am most fuzzy) Build your maven android project using Right-Click / Clean and Build Now for the acid test whether you can deploy your app to the device from NetBeans IDE! Right-click / Custom / Goal to show Run Maven dialog. Enter android:deploy in Goals field. Select Remember As button and enter android:deploy for its text field. If all is well, the app will deploy to the device and will show up in its "Applications" screen. Debugging Android App Using NetBeans Graphical Debugger Once you can build and deploy your app to the real or virtual Android device, here are the steps to debug the app using NetBeans debugger: On Device: Start the app (TODO: determine how to start app on device with JVM options so it can wait for debugger connection. This should be easy) On Dev Machine run Dalvik Debug Monitor (ddms) in background: $ANDROID_HOME/tools/ddms & Lookup your app in ddms and get its debug port. This is described here but does not address NetBeans specifically In NetBeans do: Debug / Attach Debugger and specify the port looked up in ddms in previous step. You may leave rest of the fields with defaults. Click OK
June 18, 2011
by Farrukh Najmi
· 173,525 Views
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Git Tip : Restore a deleted tag
A little tip that can be very useful, how to restore a deleted Git tag. If you juste deleted a tag by error, you can easily restore it following these steps. First, use git fsck --unreachable | grep tag then, you will see the unreachable tag. If you have several tags on the list, use git show KEY to found the good tag and finally, when you know which tag to restore, use git update-ref refs/tags/NAME KEY and the previously deleted tag with restore with NAME. Thanks to Shawn Pearce for the tip. From http://www.baptiste-wicht.com/2011/06/git-tip-restore-a-deleted-tag/
June 16, 2011
by Baptiste Wicht
· 27,841 Views
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Method Size Limit in Java
Most people don’t know this, but you cannot have methods of unlimited size in Java. Java has a 64k limit on the size of methods. What happens if I run into this limit? If you run into this limit, the Java compiler will complain with a message which says something like "Code too large to compile". You can also run into this limit at runtime if you had an already large method, just below the 64k limit and some tool or library does bytecode instrumentation on that method, adding to the size of the method and thus making it go beyond the 64k limit. In this case you will get a java.lang.VerifyError at runtime. This is an issue we ran into with the Chronon recorder where most large programs would have atleast a few large methods, and adding instrumentation to them would cause them to blow past the 64k limit, thus causing a runtime error in the program. Before we look into how we went about solving this problem for Chronon, lets look at under what circumstances people write such large methods in the first place. Where do these large methods come from? · Code generators As it turns out, most humans don’t infact write such gigantic methods. We found that most of these large methods were the result of some code generators, eg the ANTLR parser generator generates some very large methods. · Initialization Methods Initialization methods, especially gui initialization methods, where all the layout and attaching listeners, etc to every component in some in one large chunk of code is a common practise and results in a single large method. · Array initializers If you have a large array initialized in your code, eg: static final byte largeArray[] = {10, 20, 30, 40, 50, 60, 70, 80, …}; that is translated by the compiler into a method which uses load/store instructions to initialize the array. Thus an array too large can cause this error too, which may seem very mysterious to those who don’t know about this limit. · Long jsp pages Since most JSP compilers put all the jsp code in one method, large jsp pages can make you run into these errors too. Of course, these are only a few common cases, there can be a lot of other reasons why your method size is too large. How do we get around this issue? If you get this error at compile time, it is usually trivial to split your code into multiple methods. It may be a bit hairy when the method limit is reached due to some automated code generation like ANTLR or JSPs, but usually even these tools have provisions to allow you to split the code into chunks, eg : jsp:include in the case of JSPs. Where things get hairy is the second case I talked about earlier, which is when bytecode instrumentation causes the size of your methods to go beyond the 64k limit, which results in a runtime error. Of course you can still look at the method which is causing the issue, and go back and split it. However, this may not be possible if the method is inside a third party library. Thus, for the Chronon recorder at least, the way we fixed it was to instrument the method, and then check the method's size after instrumentation. If the size is above the 64k limit, we go back and 'deinstrument' the method, thus essentially excluding it from recording. Since both our Recorder and Time Travelling Debugger are already built from the groud up to deal with excluded code, it wasn’t an issue while recording or debugging the rest of the code. That said, the method size limit of 64k is too small and not needed in a world of 64 bit machines. I would urge everyone reading this to go vote on this JVM bug so that this issue can be resolved in some future version of the JVM. From http://eblog.chrononsystems.com/method-size-limit-in-java
June 14, 2011
by Prashant Deva
· 22,414 Views
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Practical PHP Refactoring: Extract Method
I'm starting a new series: Practical PHP Refactoring. Each article will cover one of the refactorings defined by Fowler in its classic book, applied to PHP code. Extract Method means creating a new method to contain part of the existing code: it's one of the most basic refactoring that you should be able to perform, just like every chef is able to chop vegetables or to turn on the gas. It's a building block to more complex refactorings. Many, many issues derive from methods that are (or have become) too long, or that confuse different concepts in the same block of code. Why should I extract a method? Extract Method is one of the simplest tool to help encapsulation. It brings a simplification of the scope, since all variables defined inside the method won't be able to pollute the calling code. The refactoring is called Extract Method since it's about object-oriented programming, but Extract Function would have the same meaning. Extract Method forces you to define a contract with a piece of code, comprehending the inputs (method parameters) and the outputs (a return value). It's not real Design by Contract, but it fits the 80% of the cases. Finally, an extracted method may be reuses independently from the calling code. Eliminating duplication is one of the driving forces that makes most of refactoring techniques interesting. Steps I follow Fowler's recipes, but I will customize it to my style of development (since I write the code samples) and to PHP peculiarities. 1. Create the method, and choose a meaningful name. Thirty seconds spent here can avoid renaming a doSomething() method in thousands of different calls in the future. A good option may be trying to call it from the point where you want to extract it from, to establish a signature handy for the client (like for TDD). But atferwards, comment the call again, since these steps must not break anything. We should go from a green state to another green state. 2. Copy the extracted code into to the new method. Scan it and fix variable references: variables existing prior to the call become the method parameters. Variables that are created in the block of code, and used afterwards, are part of the return value. Typically this is only one variable, but if there is more than one you can wrap them in an object or (temporarily) in an associative array. Local variables may now be hidden inside the method: they are not referenced outside the code and PHP will garbage-collect them when the method finishes (if they are not referenced anymore, of course). 3. Replace original code with a call to the method. 4. Perform renamings or refactorings inside the extracted method. Example The code sample shows you the various steps applied to running PHP code. I also provide a test, since I already use it to check the refactoring has gone well. We start from a method that mixes regular expressions with date formatting: getDayOfTheWeek($logLine); $this->assertEquals('On Saturday we got a visit', $day); } } class LogParser { public function getDayOfTheWeek($logLine) { preg_match('([0-9]{2}/[0-9]{2}/[0-9]{4})', $logLine, $matches); $extractedDate = $matches[0]; $date = new DateTime($extractedDate); return 'On ' . $date->format('l') . ' we got a visit'; } } We extract a method, and in the TDD style we do just as much as it takes to keep a green test. We call this method from the old code immediately: this is the bigger step. getDayOfTheWeek($logLine); $this->assertEquals('On Saturday we got a visit', $day); } } class LogParser { public function getDayOfTheWeek($logLine) { $date = $this->getDate($logLine); return 'On ' . $date->format('l') . ' we got a visit'; } function getDate($logLine) { preg_match('([0-9]{2}/[0-9]{2}/[0-9]{4})', $logLine, $matches); $extractedDate = $matches[0]; $date = new DateTime($extractedDate); return $date; } } Finally, we refine the extracted method, deciding its scope, adding a docblock and eliminating temporary, explanatory variables now rendered useless by the simplicity of this method. getDayOfTheWeek($logLine); $this->assertEquals('On Saturday we got a visit', $day); } } class LogParser { public function getDayOfTheWeek($logLine) { $date = $this->getDate($logLine); return 'On ' . $date->format('l') . ' we got a visit'; } /** * @return DateTime */ private function getDate($logLine) { preg_match('([0-9]{2}/[0-9]{2}/[0-9]{4})', $logLine, $matches); return new DateTime($matches[0]); } }
June 13, 2011
by Giorgio Sironi
· 2,521 Views
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Android Tutorial: How to Parse/Read JSON Data Into a Android ListView
Today we get on with our series that will connect our Android applications to internet webservices! Next up in line: from JSON to a Listview. A lot of this project is identical to the previous post in this series so try to look there first if you have any problems. On the bottom of the post ill add the Eclipse project with the source. For this example i made use of an already existing JSON webservice located here. This is a piece of the JSON array that gets returned: {"earthquakes": [ { "eqid": "c0001xgp", "magnitude": 8.8, "lng": 142.369, "src": "us", "datetime": "2011-03-11 04:46:23", "depth": 24.4, "lat": 38.322 }, { "eqid": "2007hear", "magnitude": 8.4, "lng": 101.3815, "src": "us", "datetime": "2007-09-12 09:10:26", "depth": 30, "lat": -4.5172 }<--more -->]} So how do we get this data into our application! Behold our getJSON class! getJSON(String url) public static JSONObject getJSONfromURL(String url){//initializeInputStream is = null;String result = "";JSONObject jArray = null;//http posttry{HttpClient httpclient = new DefaultHttpClient();HttpPost httppost = new HttpPost(url);HttpResponse response = httpclient.execute(httppost);HttpEntity entity = response.getEntity();is = entity.getContent();}catch(Exception e){Log.e("log_tag", "Error in http connection "+e.toString());}//convert response to stringtry{BufferedReader reader = new BufferedReader(new InputStreamReader(is,"iso-8859-1"),8);StringBuilder sb = new StringBuilder();String line = null;while ((line = reader.readLine()) != null) {sb.append(line + "\n");}is.close();result=sb.toString();}catch(Exception e){Log.e("log_tag", "Error converting result "+e.toString());}//try parse the string to a JSON objecttry{ jArray = new JSONObject(result);}catch(JSONException e){Log.e("log_tag", "Error parsing data "+e.toString());}return jArray;} The code above can be divided in 3 parts. the first part makes the HTTP call the second part converts the stream into a String the third part converts the string to a JSPNObject Now we only have to implement this into out ListView. We can use the same method as in the XML tutorial. We make a HashMap that stores our data and we put JSON values in the HashMap. After that we will bind that HashMap to a SimpleAdapter. Here is how its done: Implementation ArrayList> mylist = new ArrayList>();//Get the data (see above)JSONObject json =JSONfunctions.getJSONfromURL("http://api.geonames.org/postalCodeSearchJSON?formatted=true&postalcode=9791&maxRows=10&username=demo&style=full"); try{//Get the element that holds the earthquakes ( JSONArray )JSONArray earthquakes = json.getJSONArray("earthquakes"); //Loop the Array for(int i=0;i < earthquakes.length();i++){ HashMap map = new HashMap(); JSONObject e = earthquakes.getJSONObject(i); map.put("id", String.valueOf(i)); map.put("name", "Earthquake name:" + e.getString("eqid")); map.put("magnitude", "Magnitude: " + e.getString("magnitude")); mylist.add(map);} }catch(JSONException e) { Log.e("log_tag", "Error parsing data "+e.toString()); } After this we only need to make up the Simple Adapter ListAdapter adapter = new SimpleAdapter(this, mylist , R.layout.main, new String[] { "name", "magnitude" }, new int[] { R.id.item_title, R.id.item_subtitle }); setListAdapter(adapter); final ListView lv = getListView(); lv.setTextFilterEnabled(true); lv.setOnItemClickListener(new OnItemClickListener() { public void onItemClick(AdapterView parent, View view, int position, long id) { @SuppressWarnings("unchecked") Toast.makeText(Main.this, "ID '" + o.get("id") + "' was clicked.", Toast.LENGTH_SHORT).show(); }); Now we have a ListView filled with JSON data! Here is the Eclipse project: source code Have fun playing around with it.
June 8, 2011
by Mark Mooibroek
· 260,403 Views
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When to Use Apache Camel?
When to use Apache Camel, a popular JVM/Java environment, and when to use other alternatives.
June 5, 2011
by Kai Wähner DZone Core CORE
· 153,286 Views · 12 Likes
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CDI AOP Tutorial: Java Standard Method Interception Tutorial - Java EE
This article discusses CDI based AOP in a tutorial format. CDI is the Java standard for dependency injection (DI) and interception (AOP). It is evident from the popularity of DI and AOP that Java needs to address DI and AOP so that it can build other standards on top of it. DI and AOP are already the foundation of many Java frameworks. CDI is a foundational aspect of Java EE 6. It is or will be shortly supported by Caucho's Resin Java Application Server, Java EE WebProfile certified, IBM's WebSphere, Oracle's Glassfish, Red Hat's JBoss and many more application servers. CDI is similar to core Spring and Guice frameworks. Like JPA did for ORM, CDI simplifies and sanitizes the API for DI and AOP. If you have worked with Spring or Guice, you will find CDI easy to use and easy to learn. If you are new to AOP, then CDI is an easy on ramp for picking up AOP quickly, as it uses a small subset of what AOP provides. CDI based AOP is simpler to use and learn. One can argue that CDI only implements a small part of AOP—method interception. While this is a small part of what AOP has to offer, it is also the part that most developers use. CDI can be used standalone and can be embedded into any application. Here is the source code for this tutorial, and instructions for use. It is no accident that this tutorial follows many of the same examples in the written three years ago. It will be interesting to compare and contrast the examples in this tutorial with the one written three years ago for Spring based AOP. Design goals of this tutorial This tutorial is meant to be a description and explanation of AOP in CDI without the clutter of EJB 3.1 or JSF. There are already plenty of tutorials that cover EJB 3.1 and JSF (and CDI). We believe that CDI has merit on its own outside of the EJB and JSF space. This tutorial only covers CDI. Repeat there is no JSF 2 or EJB 3.1 in this tutorial. There are plenty of articles and tutorials that cover using CDI as part of a larger JEE 6 application. This tutorial is not that. This tutorial series is CDI and only CDI. This tutorial only has full, complete code examples with source code you can download and try out on your own. There are no code snippets where you can't figure out where in the code you are suppose to be. So far these tutorials have been well recieved and we got a lot of feedback. There appears to be a lot of interest in the CDI standard. Thanks for reading and thanks for your comments and participation so far. AOP Basics For some, AOP seems like voodoo magic. For others, AOP seems like a cure-all. For now, let's just say that AOP is a tool that you want in your developer toolbox. It can make seemingly impossible things easy. Aagin, when we talk about AOP in CDI, we are really talking about interception which is a small but very useful part of AOP. For brevity, I am going to refer to interception as AOP. The first time that I used AOP was with Spring's transaction management support. I did not realize I was using AOP. I just knew Spring could apply EJB-style declarative transaction management to POJOs. It was probably three to six months before I realized that I was using was Spring's AOP support. The Spring framework truly brought AOP out of the esoteric closet into the main stream light of day. CDI brings these concepts into the JSR standards where other Java standards can build on top of CDI. You can think of AOP as a way to apply services (called cross-cutting concerns) to objects. AOP encompasses more than this, but this is where it gets used mostly in the main stream. I've using AOP to apply caching services, transaction management, resource management, etc. to any number of objects in an application. I am currently working with a team of folks on the CDI implementation for the revived JSR-107 JCache. AOP is not a panacea, but it certainly fits a lot of otherwise difficult use cases. You can think of AOP as a dynamic decorator design pattern. The decorator pattern allows additional behavior to be added to an existing class by wrapping the original class and duplicating its interface and then delegating to the original. See this article decorator pattern for more detail about the decorator design pattern. (Notice in addition to supporting AOP style interception CDI also supports actual decorators, which are not covered in this article.) Sample application revisited For this introduction to AOP, let's take a simple example, let's apply security services to our Automated Teller Machine example from the first the first in this series. Let's say when a user logs into a system that a SecurityToken is created that carries the user's credentials and before methods on objects get invoked, we want to check to see if the user has credentials to invoke these methods. For review, let's look at the AutomatedTellerMachine interface. Code Listing: AutomatedTellerMachine interface package org.cdi.advocacy; import java.math.BigDecimal; public interface AutomatedTellerMachine { public abstract void deposit(BigDecimal bd); public abstract void withdraw(BigDecimal bd); } In a web application, you could write a ServletFilter, that stored this SecurityToken in HttpSession and then on every request retrieved the token from Session and put it into a ThreadLocal variable where it could be accessed from a SecurityService that you could implement. Perhaps the objects that needed the SecurityService could access it as follows: Code Listing: AutomatedTellerMachineImpl implementing security without AOP public void deposit(BigDecimal bd) { /* If the user is not logged in, don't let them use this method */ if(!securityManager.isLoggedIn()){ throw new SecurityViolationException(); } /* Only proceed if the current user is allowed. */ if (!securityManager.isAllowed("AutomatedTellerMachine", operationName)){ throw new SecurityViolationException(); } ... transport.communicateWithBank(...); } In our ATM example, the above might work out well, but imagine a system with thousands of classes that needed security. Now imagine, the way we check to see if a user is "logged in" changed. If we put this code into every method that needed security, then we could possibly have to change this a thousand times if we changed the way we checked to see if a user was logged in. What we want to do instead is to use CDI to create a decorated version of the AutomateTellerMachineImpl bean. The decorated version would add the additional behavior to the AutomateTellerMachineImpl object without changing the actual implementation of the AutomateTellerMachineImpl. In AOP speak, this concept is called a cross-cutting concern. A cross-cutting concern is a concern that crosses the boundry of many objects. CDI does this by creating what is called an AOP proxy. An AOP proxy is like a dynamic decorator. Underneath the covers CDI can generate a class at runtime (the AOP proxy) that has the same interface as our AutomatedTellerMachine. The AOP proxy wraps our existing atm object and provides additional behavior by delegating to a list of method interceptors. The method interceptors provide the additional behavior and are similar to ServletFilters but for methods instead of requests. Diagrams of CDI AOP support Thus before we added CDI AOP, our atm example was like Figure 1. Figure 1: Before AOP advice After we added AOP support, we now get an AOP proxy that applies the securityAdvice to the atm as show in figure 2. Figure 2: After AOP advice You can see that the AOP proxy implements the AutomatedTellerMachine interface. When the client object looks up the atm and starts invoking methods instead of executing the methods directly, it executes the method on the proxy, which then delegates the call to a series of method interceptor called advice, which eventually invoke the actual atm instance (now called atmTarget). Let's actually look at the code for this example. For this example, we will use a simplified SecurityToken that gets stored into a ThreadLocal variable, but one could imagine one that was populated with data from a database or an LDAP server or some other source of authentication and authorization. Here is the SecurityToken, which gets stored into a ThreadLocal variable, for this example: SecurityToken.java Gets stored in ThreadLocal package org.cdi.advocacy.security; /** * @author Richard Hightower * */ public class SecurityToken { private boolean allowed; private String userName; public SecurityToken() { } public SecurityToken(boolean allowed, String userName) { super(); this.allowed = allowed; this.userName = userName; } public boolean isAllowed(String object, String methodName) { return allowed; } /** * @return Returns the allowed. */ public boolean isAllowed() { return allowed; } /** * @param allowed The allowed to set. */ public void setAllowed(boolean allowed) { this.allowed = allowed; } /** * @return Returns the userName. */ public String getUserName() { return userName; } /** * @param userName The userName to set. */ public void setUserName(String userName) { this.userName = userName; } } The SecurityService stores the SecurityToken into the ThreadLocal variable, and then delegates to it to see if the current user has access to perform the current operation on the current object as follows: SecurityService.java Service package org.cdi.advocacy.security; public class SecurityService { private static ThreadLocal currentToken = new ThreadLocal(); public static void placeSecurityToken(SecurityToken token){ currentToken.set(token); } public static void clearSecuirtyToken(){ currentToken.set(null); } public boolean isLoggedIn(){ SecurityToken token = currentToken.get(); return token!=null; } public boolean isAllowed(String object, String method){ SecurityToken token = currentToken.get(); return token.isAllowed(); } public String getCurrentUserName(){ SecurityToken token = currentToken.get(); if (token!=null){ return token.getUserName(); }else { return "Unknown"; } } } The SecurityService will throw a SecurityViolationException if a user is not allowed to access a resource. SecurityViolationException is just a simple exception for this example. SecurityViolationException.java Exception package com.arcmind.springquickstart.security; /** * @author Richard Hightower * */ public class SecurityViolationException extends RuntimeException { /** * */ private static final long serialVersionUID = 1L; } To remove the security code out of the AutomatedTellerMachineImpl class and any other class that needs security, we will write an Aspect in CDI to intercept calls and perform security checks before the method call. To do this we will create a method interceptor (known is AOP speak as an advice) and intercept method calls on the atm object. Here is the SecurityAdvice class which will intercept calls on the AutomatedTellerMachineImpl class. SecurityAdvice package org.cdi.advocacy.security; import javax.inject.Inject; import javax.interceptor.AroundInvoke; import javax.interceptor.Interceptor; import javax.interceptor.InvocationContext; /** * @author Richard Hightower */ @Secure @Interceptor public class SecurityAdvice { @Inject private SecurityService securityManager; @AroundInvoke public Object checkSecurity(InvocationContext joinPoint) throws Exception { System.out.println("In SecurityAdvice"); /* If the user is not logged in, don't let them use this method */ if(!securityManager.isLoggedIn()){ throw new SecurityViolationException(); } /* Get the name of the method being invoked. */ String operationName = joinPoint.getMethod().getName(); /* Get the name of the object being invoked. */ String objectName = joinPoint.getTarget().getClass().getName(); /* * Invoke the method or next Interceptor in the list, * if the current user is allowed. */ if (!securityManager.isAllowed(objectName, operationName)){ throw new SecurityViolationException(); } return joinPoint.proceed(); } } Notice that we annotate the SecuirtyAdvice class with an @Secure annotation. The @Secure annotation is an @InterceptorBinding. We use it to denote both the interceptor and the classes it intercepts. More on this later. Notice that we use @Inject to inject the securityManager. Also we mark the method that implements that around advice with and @AroundInvoke annotation. This essentially says this is the method that does the dynamic decoration. Thus, the checkSecurity method of SecurityAdvice is the method that implements the advice. You can think of advice as the decoration that we want to apply to other objects. The objects getting the decoration are called advised objects. Notice that the SecurityService gets injected into the SecurityAdvice and the checkSecurity method uses the SecurityService* to see if the user is logged in and the user has the rights to execute the method. An instance of InvocationContext, namely joinPoint, is passed as an argument to checkSecurity. The InvocationContext has information about the method that is being called and provides control that determines if the method on the advised object's methods gets invoked (e.g., AutomatedTellerMachineImpl.withdraw and AutomatedTellerMachineImpl.deposit). If *`joinPoint.proceed()`* is not called then the wrapped method of the advised object (withdraw or deposit) is not called. (The proceed method causes the actual decorated method to be invoked or the next interceptor in the chain to get invoked.) In Spring, to apply an Advice like SecurityAdvice to an advised object, you need a pointcut. A pointcut is like a filter that picks the objects and methods that get decorated. In CDI, you just mark the class or methods of the class that you want decorated with an interceptor binding annotation. There is no complex pointcut language. You could implement one as a CDI extention, but it does not come with CDI by default. CDI uses the most common way developer apply interceptors, i.e., with annotations. CDI scans each class in each jar (and other classpath locations) that has a META-INF/beans.xml. The SecurityAdvice get installed in the CDI beans.xml. META-INF/beans.xml org.cdi.advocacy.security.SecurityAdvice You can install interceptors in the order you want them called. In order to associate a interceptor with the classes and methods it decorates, you have to define an InterceptorBinding annotation. An example of such a binding is defined below in the @Secure annotation. Secure.java annotation package org.cdi.advocacy.security; import java.lang.annotation.Retention; import java.lang.annotation.Target; import static java.lang.annotation.ElementType.*; import static java.lang.annotation.RetentionPolicy.*; import javax.interceptor.InterceptorBinding; @InterceptorBinding @Retention(RUNTIME) @Target({TYPE, METHOD}) public @interface Secure { } Notice that we annotated the @Secure annotation with the @InterceptorBinding annotation. InterceptorBindings follow a lot of the same rules as Qualifiers as discussed in the first two articles in this series. InterceptorBindings are like qaulifiers for injection in that they can have members which can further qualify the injection. You can also disable InterceptorBinding annotation members from qualifying an interception by using the @NonBinding just like you can in Qualifiers. To finish our example, we need to annotate our AutomatedTellerMachine with the same @Secure annotation; thus, associating the AutomatedTellerMachine with our SecurityAdvice. AutomatedTellerMachine class using @Secure package org.cdi.advocacy; ... import javax.inject.Inject; import org.cdi.advocacy.security.Secure; @Secure public class AutomatedTellerMachineImpl implements AutomatedTellerMachine { @Inject @Json private ATMTransport transport; public void deposit(BigDecimal bd) { System.out.println("deposit called"); transport.communicateWithBank(null); } public void withdraw(BigDecimal bd) { System.out.println("withdraw called"); transport.communicateWithBank(null); } } You have the option of use @Secure on the methods or at the class level. In this example, we annotated the class itself, which then applies the interceptor to every method. Let's complete our example by reviewing the AtmMain main method that looks up the atm out of CDI's beanContainer. Let's review AtmMain as follows: AtmMain.java package org.cdi.advocacy; import java.math.BigDecimal; import org.cdi.advocacy.security.SecurityToken; import org.cdiadvocate.beancontainer.BeanContainer; import org.cdiadvocate.beancontainer.BeanContainerManager; import org.cdi.advocacy.security.SecurityService; public class AtmMain { public static void simulateLogin() { SecurityService.placeSecurityToken(new SecurityToken(true, "Rick Hightower")); } public static void simulateNoAccess() { SecurityService.placeSecurityToken(new SecurityToken(false, "Tricky Lowtower")); } public static BeanContainer beanContainer = BeanContainerManager .getInstance(); static { beanContainer.start(); } public static void main(String[] args) throws Exception { simulateLogin(); //simulateNoAccess(); AutomatedTellerMachine atm = beanContainer .getBeanByType(AutomatedTellerMachine.class); atm.deposit(new BigDecimal("1.00")); } } Continue reading... Click on the navigation links below the author bio to read the other pages of this article. Be sure to check out part I of this series as well! Although not a fan of EJB 3, Rick is a big fan of the potential of CDI and thinks that EJB 3.1 has come a lot closer to the mark. CDI Implementations - Resin Candi - Seam Weld - Apache OpenWebBeans Before we added AOP support when we looked up the atm, we looked up the object directly as shown in figure 1, now that we applied AOP when we look up the object we get what is in figure 2. When we look up the atm in the application context, we get the AOP proxy that applies the decoration (advice, method interceptor) to the atm target by wrapping the target and delegating to it after it invokes the series of method interceptors. Victroy lap The last code listing works just like you think. If you use simulateLogin, atm.deposit does not throw a SecurityException. If you use simulateNoAccess, it does throw a SecurityException. Now let's weave in a few more "Aspects" to the mix to drive some points home and to show how interception works with multiple interceptors. I will go quicker this time. LoggingInterceptor package org.cdi.advocacy; import java.util.Arrays; import java.util.logging.Logger; import javax.interceptor.AroundInvoke; import javax.interceptor.Interceptor; import javax.interceptor.InvocationContext; @Logable @Interceptor public class LoggingInterceptor { @AroundInvoke public Object log(InvocationContext ctx) throws Exception { System.out.println("In LoggingInterceptor"); Logger logger = Logger.getLogger(ctx.getTarget().getClass().getName()); logger.info("before call to " + ctx.getMethod() + " with args " + Arrays.toString(ctx.getParameters())); Object returnMe = ctx.proceed(); logger.info("after call to " + ctx.getMethod() + " returned " + returnMe); return returnMe; } } Now we need to define the Logable interceptor binding annotation as follows: package org.cdi.advocacy; import java.lang.annotation.Retention; import java.lang.annotation.Target; import static java.lang.annotation.ElementType.*; import static java.lang.annotation.RetentionPolicy.*; import javax.interceptor.InterceptorBinding; @InterceptorBinding @Retention(RUNTIME) @Target({TYPE, METHOD}) public @interface Logable { } Now to use it we just mark the methods where we want this logging. AutomatedTellerMachineImpl.java using Logable package org.cdi.advocacy; ... @Secure public class AutomatedTellerMachineImpl implements AutomatedTellerMachine { ... @Logable public void deposit(BigDecimal bd) { System.out.println("deposit called"); transport.communicateWithBank(null); } public void withdraw(BigDecimal bd) { System.out.println("withdraw called"); transport.communicateWithBank(null); } } Notice that we use the @Secure at the class level which will applies the security interceptor to every mehtod in the AutomatedTellerMachineImpl. But, we use @Logable only on the deposit method which applies it, you guessed it, only on the deposit method. Now you have to add this interceptor to the beans.xml: META-INF/beans.xml org.cdi.advocacy.LoggingInterceptor org.cdi.advocacy.security.SecurityAdvice When we run this again, we get something like this in our console output: May 15, 2011 6:46:22 PM org.cdi.advocacy.LoggingInterceptor log INFO: before call to public void org.cdi.advocacy.AutomatedTellerMachineImpl.deposit(java.math.BigDecimal) with args [1.00] May 15, 2011 6:46:22 PM org.cdi.advocacy.LoggingInterceptor log INFO: after call to public void org.cdi.advocacy.AutomatedTellerMachineImpl.deposit(java.math.BigDecimal) returned null Notice that the order of interceptors in the beans.xml file determines the order of execution in the code. (I added a println to each interceptor just to show the ordering.) When we run this, we get the following output. Output: In LoggingInterceptor In SecurityAdvice If we switch the order in the beans.xml file, we will get a different order in the console output. META-INF/beans.xml org.cdi.advocacy.security.SecurityAdvice org.cdi.advocacy.LoggingInterceptor In SecurityAdvice In LoggingInterceptor This is important as many interceptors can be applied. You have one place to set the order. Conclusion AOP is neither a cure all or voodoo magic, but a powerful tool that needs to be in your bag of tricks. The Spring framework has brought AOP to the main stream masses and Spring 2.5/3.x has simplified using AOP. CDI brings AOP and DI into the standard's bodies where it can get further mainstreamed, refined and become part of future Java standards like JCache, Java EE 6 and Java EE 7. You can use Spring CDI to apply services (called cross-cutting concerns) to objects using AOP's interception model. AOP need not seem like a foreign concept as it is merely a more flexible version of the decorator design pattern. With AOP you can add additional behavior to an existing class without writing a lot of wrapper code. This can be a real time saver when you have a use case where you need to apply a cross cutting concern to a slew of classes. To reiterate... CDI is the Java standard for dependency injection and interception (AOP). It is evident from the popularity of DI and AOP that Java needs to address DI and AOP so that it can build other standards on top of it. DI and AOP are the foundation of many Java frameworks. I hope you share my excitement of CDI as a basis for other JSRs, Java frameworks and standards. CDI is a foundational aspect of Java EE 6. It is or will be shortly supported by Caucho's Resin, IBM's WebSphere, Oracle's Glassfish, Red Hat's JBoss and many more application servers. CDI is similar to core Spring and Guice frameworks. However CDI is a general purpose framework that can be used outside of JEE 6. CDI simplifies and sanitizes the API for DI and AOP. I find that working with CDI based AOP is easier and covers the most common use cases. CDI is a rethink on how to do dependency injection and AOP (interception really). It simplifies it. It reduces it. It gets rid of legacy, outdated ideas. CDI is to Spring and Guice what JPA is to Hibernate, and Toplink. CDI will co-exist with Spring and Guice. There are plugins to make them interoperate nicely (more on these shortly). This is just a brief taste. There is more to come. Resources CDI Source CDI advocacy group CDI advocacy blog CDI advocacy google code project Google group for CDI advocacy Manisfesto version 1 Weld reference documentation CDI JSR299 Resin fast and light CDI and Java EE 6 Web Profile implementation CDI & JSF Part 1 Intro by Andy Gibson CDI & JSF Part 2 Intro by Andy Gibson CDI & JSF Part 3 Intro by Andy Gibson About the Author This article was written with CDI advocacy in mind by Rick Hightower with some collaboration from others. Rick Hightower has worked as a CTO, Director of Development and a Developer for the last 20 years. He has been involved with J2EE since its inception. He worked at an EJB container company in 1999. He has been working with Java since 1996, and writing code professionally since 1990. Rick was an early Spring enthusiast. Rick enjoys bouncing back and forth between C, Python, Groovy and Java development. Although not a fan of EJB 3, Rick is a big fan of the potential of CDI and thinks that EJB 3.1 has come a lot closer to the mark. Rick Hightower is CTO of Mammatus and is an expert on Java and Cloud Computing. There are 18 code listings in this article
May 25, 2011
by Rick Hightower
· 83,750 Views · 10 Likes
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Log4j Tutorial – Writing different log levels in different log files
Recently one of my blog reader Surisetty send me a question, asking me if it is possible to write log messages of different levels (info, debug, etc) into different log files? To answer his question, yes, it is possible. We can do this by extending the FileAppender class and writing our own logic. Below is the proof of concept code written to demonstrate this. Before that, you can download the Eclipse project file to run this code in your environment. Download the Source code To write different log levels in different log files Create a custom Log4j appender extending FileAppender. In that, override the append() method and check for the log level before writing a log message. Based on the level, call the setFile() method to switch between corresponding log file. Also, use MDC to store the original log file name mentioned in the log4j.properties. This is needed because setFile() changes the log file name every time you call it. So, we need to keep a track of the original file name somehow. And, we can use Log4j MDC for this. Custom Appender: LogLevelFilterFileAppender package com.veerasundar.log4j; import java.io.File; import java.io.IOException; import org.apache.log4j.FileAppender; import org.apache.log4j.Layout; import org.apache.log4j.MDC; import org.apache.log4j.spi.ErrorCode; import org.apache.log4j.spi.LoggingEvent; /** * This customized Log4j appender will seperate the log messages based on their * LEVELS and will write them' into separate files. For example, all DEBUG * messages will go to a file and all INFO messages will go to a different file. * * @author Veera Sundar | http://veerasundar.com * */ public class LogLevelFilterFileAppender extends FileAppender { private final static String DOT = "."; private final static String HIPHEN = "-"; private static final String ORIG_LOG_FILE_NAME = "OrginalLogFileName"; public LogLevelFilterFileAppender() { } public LogLevelFilterFileAppender(Layout layout, String fileName, boolean append, boolean bufferedIO, int bufferSize) throws IOException { super(layout, fileName, append, bufferedIO, bufferSize); } public LogLevelFilterFileAppender(Layout layout, String fileName, boolean append) throws IOException { super(layout, fileName, append); } public LogLevelFilterFileAppender(Layout layout, String fileName) throws IOException { super(layout, fileName); } @Override public void activateOptions() { MDC.put(ORIG_LOG_FILE_NAME, fileName); super.activateOptions(); } @Override public void append(LoggingEvent event) { try { setFile(appendLevelToFileName((String) MDC.get(ORIG_LOG_FILE_NAME), event.getLevel().toString()), fileAppend, bufferedIO, bufferSize); } catch (IOException ie) { errorHandler .error( "Error occured while setting file for the log level " + event.getLevel(), ie, ErrorCode.FILE_OPEN_FAILURE); } super.append(event); } private String appendLevelToFileName(String oldLogFileName, String level) { if (oldLogFileName != null) { final File logFile = new File(oldLogFileName); String newFileName = ""; final String fn = logFile.getName(); final int dotIndex = fn.indexOf(DOT); if (dotIndex != -1) { // the file name has an extension. so, insert the level // between the file name and the extension newFileName = fn.substring(0, dotIndex) + HIPHEN + level + DOT + fn.substring(dotIndex + 1); } else { // the file name has no extension. So, just append the level // at the end. newFileName = fn + HIPHEN + level; } return logFile.getParent() + File.separator + newFileName; } return null; } } log4j.properties file log4j.rootLogger = DEBUG, fileout log4j.appender.fileout = com.veerasundar.log4j.LogLevelFilterFileAppender log4j.appender.fileout.layout.ConversionPattern = %d{ABSOLUTE} %5p %c - %m%n log4j.appender.fileout.layout = org.apache.log4j.PatternLayout log4j.appender.fileout.File = C:/vraa/temp/logs.log Lets test our code package com.veerasundar.log4j; import org.apache.log4j.Logger; public class Log4jDemo { private static final Logger logger = Logger.getLogger(Log4jDemo.class); public static void main(String args[]) { logger.debug("This is a debug message"); logger.info("This is a information message"); logger.warn("This is a warning message"); logger.error("This is an error message"); logger.fatal("This is a fatal message"); logger.debug("This is another debug message"); logger.info("This is another information message"); logger.warn("This is another warning message"); logger.error("This is another error message"); logger.fatal("This is another fatal message"); } } Download the Source code From http://veerasundar.com/blog/2011/05/log4j-tutorial-writing-different-log-levels-in-different-log-files/
May 19, 2011
by Veera Sundar
· 51,468 Views
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Git backups, and no, it's not just about pushing
Git is a backup system itself: for example, you can version your .txt folders containing TODO lists. Since Git version your files just like it does for code, after accidental deletion or modifications it will be able to bring you back. Yet, if you do not regularly push your commits, a problem with the drive containing the repository may cause the loss of all your work. You can put the repository in Dropbox or on a similar service, but I don't trust it. Dropbox syncs files in .git independently from the rest and from one another, and it may break temporarily or for good the repository. By the way, I only want to snapshot a backup at specific points in time, not always occupying my connection by instant mirroring. A note before beginning: with binary data Git is not proficient as a backup tool: text works a lot better (it's like code). This article is dedicated to the backup of code and textual content. Push is not a backup For example, because it may lack branches. In general, pushing to origin is not even an option as you may not want to push your changes yet, but still perform a backup. It's only in the open source world that backup corresponds to publishing online. However, thanks to decentralization there are some simple solutions, involving the creation of repositorite different from origin: git clone /path/to/working/copy #creates the backup git pull #origin master of course, updates the backup # you can specify better branches via the local configuration of the backup copy (git config) The inverse solution, involging pulling, is also possible: git init . #in the folder of your backup, or you can use a remote repository git remote add backup_repo /path/to/backup/repo #or a git:// repo git push backup #master usually, but also multiple branches git push --all backup #an alternative that pushes all branches All the commands, also the one that will follow, are just bash commands: it's easy to create a script and automate its execution with cron, anacron or whatever you want. The Force"del" Unix is powerful in you. git bundle git bundle is another command that may be used for backup purposes. It will create a single file containing all the refs you need to export from your local repository. It's often used for publishing commits via USB keys or other media in absence of a connection. For one branch, it's simple. This command will create a myrepo.bundle file. git bundle create myrepo.bundle master For more branches or tags, it's still simple: git bundle create myrepo.bundle master other_branch Restoring the content of the bundle is a single comment. Inside an empty repo, type: git bundle unbundle myrepo.bundle Instead if you do not have a repo, and just want to recreate the old one: git clone myrepo.bundle -b master myrepo_folder In emergency situations, bundle comes handy. But my issue with that command is that I always forget something when I use it: for example in my tutorial repository I had a lot of tags, but bundle did not include them by default (you have to specify the whole references list like for master other_branch.) Tarballs An alternative is just to archive the repository in a tar.gz or tar.bz file. tar -cf repository.tar repository/ gzip repository.tar # or bzip2 repository.tar After that, you can use scp or even rsync (but I don't think it will speed up much) to put repository.tar.gz on another medium. The weight is higher in this case, since the repository contains also the checked out working copy. But you don't have to learn new commands: apart from the weight and the lack of incremental updates, this solution works fine. Bare repositories You can use git clone --bare repository/ backup_folder/ to create a bare copy of the repository, as a backup. The bare repository does not maintain a checked out working tree, and as so saves space and time for its transferral. This method can be used in conjunction with the pull/push or the tarball method. For restoring the backup: git clone backup_folder/ new_repository/ will recreate the original situation in new_repository. In any of the cases the new folders are created automatically. I won't advise to just copy the folder as often on other backup filesystems (like an USB key's vfat) permissions, owner and other metadata are lost. Conclusion So now you have some alternatives for backing up your repositories or transporting them without setting up a server like Gitosis or passing from the publicly available Github. In fact, I researched this techniques for transporting my tutorial code to phpDay 2011 and the Dutch PHP Conference, and they have worked pretty well.
May 18, 2011
by Giorgio Sironi
· 73,091 Views · 1 Like
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How I Resolved SpringMVC+Hibernate Error: No Hibernate Session Bound to Thread
I used the SpringMVC @Controller annotation approach and configured the Web related Spring configuration in dispatcher-servlet.xml.
May 18, 2011
by Siva Prasad Reddy Katamreddy
· 69,571 Views · 2 Likes
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How to Iterate ArrayList in Struts2
We will discuss how to iterate over a collection of String objects in Struts2 tag libraries and then a List of custom class objects. It looks as if iterating a list of string objects is easier than iterating over a list of custom class objects in Struts 2. But the reality is that iterating a list of custom class objects is also equally easier. By custom class we mean the User, Employee, Department, Products, Vehicles classes that are created in any web application. Download Working Sample Here Usually it happens that one needs to fetch a list of records from database/files and then display it in the JSP. The module requiring this functionality could be Search, Listing users/departments/products etc. The basic flow of struts2 web application goes like: The user initiates the request from one page. This request is received by the interceptor which further invokes the Struts2 action. The action class fetches the records and stores in a list. This list is available to the next JSP using the public getter method. Please note that the public getter method for the List is mandatory. Once the List has been populated by Struts2 action class, the JSP then iterates over this List and displays the corresponding information. In the days gone by, one would store the List as a session attribute and then access the list in JSP using the scriptlets to display appropriate output to the users. Here is a Struts2 sample application to iterate one String and one custom class objects List. Though we are using the Struts2 tag library to iterate the list but JSTL can also be used for iteration. Also if you are going to use the code examples given below, use the following URL's to access the application: http://localhost:8080//index.action Iterate a Custom class ArrayList in Struts2 web.xml struts2 org.apache.struts2.dispatcher.ng.filter.StrutsPrepareAndExecuteFilter struts2 *.action struts.xml /home.jsp /success.jsp /failure.jsp home.jsp Enter a user name to get the documents uploaded by that user. Username success.jsp Documents uploaded by the user are: failure.jsp FileAction.java package com.example; import java.util.ArrayList; import java.util.List; public class FetchAction { private String username; private String message; private List documents = new ArrayList(); public List getDocuments() { return documents; } public String getMessage() { return message; } public void setMessage(String message) { this.message = message; } public String getUsername() { return username; } public void setUsername(String username) { this.username = username; } public String execute() { if( username != null) { //logic to fetch the document list (say from database) Document d1 = new Document(); d1.setName("user.doc"); Document d2 = new Document(); d2.setName("office.doc"); Document d3 = new Document(); d3.setName("transactions.doc"); documents.add(d1); documents.add(d2); documents.add(d3); return "success"; } else { message="Unable to fetch"; return "failure"; } } } Document.java package com.example; public class Document { private String name; public String getName() { return name; } public void setName(String name) { this.name = name; } } Iterate String List in Struts2 The way to iterate the a String list is similar with the only difference that the action class FetchAction.java now populates the name of documents into an ArrayList of String objects. The code zip file containing the iteration over an ArrayList of custom class object or bean can be downloaded at: http://www.fileserve.com/file/QmrsJ7k The URL to access this application will be: http://localhost:8080/IteratorExample/index.action The code zip file containing the iteration over an ArrayList of string class object or bean can be downloaded at: http://www.fileserve.com/file/V2kXkfx The URL to access this application will be: http://localhost:8080/StringIteratorExample/index.action From http://extreme-java.blogspot.com/2011/05/how-to-iterate-arraylist-in-struts2.html
May 17, 2011
by Sandeep Bhandari
· 71,021 Views
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Spring Expression Language (SpEL) Predefined Variables
Spring 3.0 introduced Spring Expression Language (SpEL). There are two variables that you have available “systemProperties” and “systemEnvironment“. SpEL allows us to access information from our beans and system beans information at runtime (late binding). These can be applied to bean fields as defaults using the JSR-303 @Value annotation on a field or in XML with the options. systemProperties – a java.util.Properties object retrieving properties from the runtime environment systemEnvironment – a java.util.Properties object retrieving environment specific properties from the runtime environment We can access specific elements from the Properties object with the syntax: systemProperties['property.name'] systemEnvironment['property.name'] public class MyEnvironment { @Value("#{ systemProperties['user.language'] }") private String varOne; @Value("#{ systemProperties }") private java.util.Properties systemProperties; @Value("#{ systemEnvironment }") private java.util.Properties systemEnvironment; @Override public String toString() { return "\n\n********************** MyEnvironment: [\n\tvarOne=" + varOne + ", \n\tsystemProperties=" + systemProperties + ", \n\tsystemEnvironment=" + systemEnvironment + "]"; } } Register the “MyEnvironment” bean in your Spring context and create a JUnit test to display the variables. From http://gordondickens.com/wordpress/2011/05/12/spring-expression-language-spel-predefined-variables/
May 16, 2011
by Gordon Dickens
· 24,254 Views
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Lucene's indexing is fast!
Wikipedia periodically exports all of the content on their site, providing a nice corpus for performance testing. I downloaded their most recent English XML export: it uncompresses to a healthy 21 GB of plain text! Then I fully indexed this with Lucene's current trunk (to be 4.0): it took 13 minutes and 9 seconds, or 95.8 GB/hour -- not bad! Here are the details: I first pre-process the XML file into a single-line file, whereby each doc's title, date, and body are written to a single line, and then index from this file, so that I measure "pure" indexing cost. Note that a real app would likely have a higher document creation cost here, perhaps having to pull documents from a remote database or from separate files, run filters to extract text from PDFs or MS Office docs, etc. I use Lucene's contrib/benchmark package to do the indexing; here's the alg I used: analyzer=org.apache.lucene.analysis.standard.StandardAnalyzer content.source = org.apache.lucene.benchmark.byTask.feeds.LineDocSource docs.file = /lucene/enwiki-20100904-pages-articles.txt doc.stored = true doc.term.vector = false doc.tokenized = false doc.body.stored = false doc.body.tokenized = true log.step.AddDoc=10000 directory=FSDirectory compound=false ram.flush.mb = 256 work.dir=/lucene/indices/enwiki content.source.forever = false CreateIndex { "BuildIndex" [ { "AddDocs" AddDoc > : * ] : 6 - CloseIndex } RepSumByPrefRound BuildIndex There is no field truncation taking place, since this is now disabled by default -- every token in every Wikipedia article is being indexed. I tokenize the body field, and don't store it, and don't tokenize the title and date fields, but do store them. I use StandardAnalyzer, and I include the time to close the index, which means IndexWriter waits for any running background merges to complete. The index only has 4 fields -- title, date, body, and docid. I've done a few things to speed up the indexing: Increase IndexWriter's RAM buffer from the default 16 MB to 256 MB Run with 6 threads Disable compound file format Reuse document/field instances (contrib/benchmark does this by default) Lucene's wiki describes additional steps you can take to speed up indexing. Both the source lines file and index are on an Intel X25-M SSD, and I'm running it on a modern machine, with dual Xeon X5680s, overclocked to 4.0 Ghz, with 12 GB RAM, running Fedora Linux. Java is 64bit 1.6.0_21-b06, and I run as java -server -Xmx2g -Xms2g. I could certainly give it more RAM, but it's not really needed. The resulting index is 6.9 GB. Out of curiosity, I made a small change to contrib/benchmark, to print the ingest rate over time. It looks like this (over a 100-second window): Note that a large part (slightly over half!) of the time, the ingest rate is 0; this is not good! This happens because the flushing process, which writes a new segment when the RAM buffer is full, is single-threaded, and, blocks all indexing while it's running. This is a known issue, and is actively being addressed under LUCENE-2324. Flushing is CPU intensive -- the decode and reencode of the great many vInts is costly. Computers usually have big write caches these days, so the IO shouldn't be a bottleneck. With LUCENE-2324, each indexing thread state will flush its own segment, privately, which will allow us to make full use of CPU concurrency, IO concurrency as well as concurrency across CPUs and the IO system. Once this is fixed, Lucene should be able to make full use of the hardware, ie fully saturate either concurrent CPU or concurrent IO such that whichever is the bottleneck in your context gates your ingest rate. Then maybe we can double this already fast ingest rate!
May 15, 2011
by Michael Mccandless
· 15,425 Views
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Java Web Application Security - Part I: Java EE 6 Login Demo
Back in February, I wrote about my upcoming conferences: In addition to Vegas and Poland, there's a couple other events I might speak at in the next few months: the Utah Java Users Group (possibly in April), Jazoon and ÜberConf (if my proposals are accepted). For these events, I'm hoping to present the following talk: Webapp Security: Develop. Penetrate. Protect. Relax. In this session, you'll learn how to implement authentication in your Java web applications using Spring Security, Apache Shiro and good ol' Java EE Container Managed Authentication. You'll also learn how to secure your REST API with OAuth and lock it down with SSL. After learning how to develop authentication, I'll introduce you to OWASP, the OWASP Top 10, its Testing Guide and its Code Review Guide. From there, I'll discuss using WebGoat to verify your app is secure and commercial tools like webapp firewalls and accelerators. Fast forward a couple months and I'm happy to say that I've completed my talk at the Utah JUG and it's been accepted at Jazoon and Über Conf. For this talk, I created a presentation that primarily consists of demos implementing basic, form and Ajax authentication using Java EE 6, Spring Security and Apache Shiro. In the process of creating the demos, I learned (or re-educated myself) how to do a number of things in all 3 frameworks: Implement Basic Authentication Implement Form-based Authentication Implement Ajax HTTP -> HTTPS Authentication (with programmatic APIs) Force SSL for certain URLs Implement a file-based store of users and passwords (in Jetty/Maven and Tomcat standalone) Implement a database store of users and passwords (in Jetty/Maven and Tomcat standalone) Encrypt Passwords Secure methods with annotations For the demos, I showed the audience how to do almost all of these, but skipped Tomcat standalone and securing methods in the interest of time. In July, when I do this talk at ÜberConf, I plan on adding 1) hacking the app (to show security holes) and 2) fixing it to protect it against vulnerabilities. I told the audience at UJUG that I would post the presentation and was planning on recording screencasts of the various demos so the online version of the presentation would make more sense. Today, I've finished the first screencast showing how to implement security with Java EE 6. Below is the presentation (with the screencast embedded on slide 10) as well as a step-by-step tutorial. * You can also watch the screencast on YouTube or download the presentation PDF. Java EE 6 Login Tutorial Download and Run the Application Implement Basic Authentication Implement Form-based Authentication Force SSL Store Users in a Database Summary Download and Run the Application To begin, download the application you'll be implementing security in. This app is a stripped-down version of the Ajax Login application I wrote for my article on Implementing Ajax Authentication using jQuery, Spring Security and HTTPS. You'll need Java 6 and Maven installed to run the app. Run it using mvn jetty:run and open http://localhost:8080 in your browser. You'll see it's a simple CRUD application for users and there's no login required to add or delete users. Implement Basic Authentication The first step is to protect the list screen so people have to login to view users. To do this, add the following to the bottom of src/main/webapp/WEB-INF/web.xml: users /users GET POST ROLE_ADMIN BASIC Java EE Login ROLE_ADMIN At this point, if you restart Jetty (Ctrl+C and jetty:run again), you'll get an error about a missing LoginService. This happens because Jetty doesn't know where the "Java EE Login" realm is located. Add the following to pom.xml, just after in the Jetty plugin's configuration. Java EE Login ${basedir}/src/test/resources/realm.properties The realm.properties file already exists in the project and contains user names and passwords. Start the app again using mvn jetty:run and you should be prompted to login when you click on the "Users" tab. Enter admin/admin to login. After logging in, you can try to logout by clicking the "Logout" link in the top-right corner. This calls a LogoutController with the following code that logs the user out. public void logout(HttpServletResponse response) throws ServletException, IOException { request.getSession().invalidate(); response.sendRedirect(request.getContextPath()); } You'll notice that clicking this link doesn't log you out, even though the session is invalidated. The only way to logout with basic authentication is to close the browser. In order to get the ability to logout, as well as to have more control over the look-and-feel of the login, you can implement form-based authentication. Implement Form-based Authentication To change from basic to form-based authentication, you simply have to replace the in your web.xml with the following: FORM /login.jsp /login.jsp?error=true The login.jsp page already exists in the project, in the src/main/webapp directory. This JSP has 3 important elements: 1) a form that submits to "${contextPath}/j_security_check", 2) an input element named "j_username" and 3) an input element named "j_password". If you restart Jetty, you'll now be prompted to login with this JSP instead of the basic authentication dialog. Force SSL Another thing you might want to implement to secure your application is forcing SSL for certain URLs. To do this on the same you already have in web.xml, add the following after : CONFIDENTIAL To configure Jetty to listen on an SSL port, add the following just after in your pom.xml: true 8080 true 8443 60000 ${project.build.directory}/ssl.keystore appfuse appfuse The keystore must be generated for Jetty to start successfully, so add the keytool-maven-plugin just above the jetty-maven-plugin in pom.xml. org.codehaus.mojo keytool-maven-plugin 1.0 generate-resources clean clean generate-resources genkey genkey ${project.build.directory}/ssl.keystore cn=localhost appfuse appfuse appfuse RSA Now if you restart Jetty, go to http://localhost:8080 and click on the "Users" tab, you'll get a 403. What the heck?! When this first happened to me, it took me a while to figure out. It turns out that Jetty doesn't redirect to HTTPS when using Java EE authentication, so you have to manually type in https://localhost:8443/ (or add a filter to redirect for you). If you deployed this same application on Tomcat (after enabling SSL), it would redirect for you. Store Users in a Database Finally, to store your users in a database instead of file, you'll need to change the in the Jetty plugin's configuration. Replace the existing element with the following: Java EE Login ${basedir}/src/test/resources/jdbc-realm.properties The jdbc-realm.properties file already exists in the project and contains the database settings and table/column names for the user and role information. jdbcdriver = com.mysql.jdbc.Driver url = jdbc:mysql://localhost/appfuse username = root password = usertable = app_user usertablekey = id usertableuserfield = username usertablepasswordfield = password roletable = role roletablekey = id roletablerolefield = name userroletable = user_role userroletableuserkey = user_id userroletablerolekey = role_id cachetime = 300 Of course, you'll need to install MySQL for this to work. After installing it, you should be able to create an "appfuse" database and populate it using the following commands: mysql -u root -p -e 'create database appfuse' curl https://gist.github.com/raw/958091/ceecb4a6ae31c31429d5639d0d1e6bfd93e2ea42/create-appfuse.sql > create-appfuse.sql mysql -u root -p appfuse < create-appfuse.sql Next you'll need to configure Jetty so it has MySQL's JDBC Driver in its classpath. To do this, add the following dependency just after the element (before ) in pom.xml: mysql mysql-connector-java 5.1.14 Now run the jetty-password.sh file in the root directory of the project to generate a password of your choosing. For example: $ sh jetty-password.sh javaeelogin javaeelogin OBF:1vuj1t2v1wum1u9d1ugo1t331uh21ua51wts1t3b1vur MD5:53b176e6ce1b5183bc970ef1ebaffd44 The last two lines are obfuscated and MD5 versions of the password. Update the admin user's password to this new value. You can do this with the following SQL statement. UPDATE app_user SET password='MD5:53b176e6ce1b5183bc970ef1ebaffd44' WHERE username = 'admin'; Now if you restart Jetty, you should be able to login with admin/javaeelogin and view the list of users. Summary In this tutorial, you learned how to implement authentication using standard Java EE 6. In addition to the basic XML configuration, there's also some new methods in HttpServletRequest for Java EE 6 and Servlet 3.0: authenticate(response) login(user, pass) logout() This tutorial doesn't show you how to use them, but I did play with them a bit as part of my UJUG demo when implementing Ajax authentication. I found that login() did work, but it didn't persist the authentication for the users session. I also found that after calling logout(), I still needed to invalidate the session to completely logout the user. There are some additional limitations I found with Java EE authentication, namely: No error messages for failed logins No Remember Me No auto-redirect from HTTP to HTTPS Container has to be configured Doesn’t support regular expressions for URLs Of course, no error messages indicating why login failed is probably a good thing (you don't want to tell users why their credentials failed). However, when you're trying to figure out if your container is configured properly, the lack of container logging can be a pain. In the next couple weeks, I'll post Part II of this series, where I'll show you how to implement this same set of features using Spring Security. In the meantime, please let me know if you have any questions. From http://raibledesigns.com/rd/entry/java_web_application_security_part
May 15, 2011
by Matt Raible
· 42,045 Views · 3 Likes
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Real time monitoring PHP applications with websockets and node.js
The inspection of the error logs is a common way to detect errors and bugs. We also can show errors on-screen within our developement server, or we even can use great tools like firePHP to show our PHP errors and warnings inside our firebug console. That’s cool, but we only can see our session errors/warnings. If we want to see another’s errors we need to inspect the error log. tail -f is our friend, but we need to surf against all the warnings of all sessions to see our desired ones. Because of that I want to build a tool to monitor my PHP applications in real-time. Let’s start: What’s the idea? The idea is catch all PHP’s errors and warnings at run time and send them to a node.js HTTP server. This server will work similar than a chat server but our clients will only be able to read the server’s logs. Basically the applications have three parts: the node.js server, the web client (html5) and the server part (PHP). Let me explain a bit each part: The node Server Basically it has two parts: a http server to handle the PHP errors/warnings and a websocket server to manage the realtime communications with the browser. When I say that I’m using websockets that’s means the web client will only work with a browser with websocket support like chrome. Anyway it’s pretty straightforward swap from a websocket sever to a socket.io server to use it with every browser. But websockets seems to be the future, so I will use websockets in this example. The http server: http.createServer(function (req, res) { var remoteAdrress = req.socket.remoteAddress; if (allowedIP.indexOf(remoteAdrress) >= 0) { res.writeHead(200, { 'Content-Type': 'text/plain' }); res.end('Ok\n'); try { var parsedUrl = url.parse(req.url, true); var type = parsedUrl.query.type; var logString = parsedUrl.query.logString; var ip = eval(parsedUrl.query.logString)[0]; if (inspectingUrl == "" || inspectingUrl == ip) { clients.forEach(function(client) { client.write(logString); }); } } catch(err) { console.log("500 to " + remoteAdrress); res.writeHead(500, { 'Content-Type': 'text/plain' }); res.end('System Error\n'); } } else { console.log("401 to " + remoteAdrress); res.writeHead(401, { 'Content-Type': 'text/plain' }); res.end('Not Authorized\n'); } }).listen(httpConf.port, httpConf.host); and the web socket server: var inspectingUrl = undefined; ws.createServer(function(websocket) { websocket.on('connect', function(resource) { var parsedUrl = url.parse(resource, true); inspectingUrl = parsedUrl.query.ip; clients.push(websocket); }); websocket.on('close', function() { var pos = clients.indexOf(websocket); if (pos >= 0) { clients.splice(pos, 1); } }); }).listen(wsConf.port, wsConf.host); If you want to know more about node.js and see more examples, have a look to the great site: http://nodetuts.com/. In this site Pedro Teixeira will show examples and node.js tutorials. In fact my node.js http + websoket server is a mix of two tutorials from this site. The web client. The web client is a simple websockets application. We will handle the websockets connection, reconnect if it dies and a bit more. I’s based on node.js chat demo Real time monitor Socket status: Conecting ...IP: [all]" ?>count: 0 And the javascript magic var timeout = 5000; var wsServer = '192.168.2.2:8880'; var unread = 0; var focus = false; var count = 0; function updateCount() { count++; $("#count").text(count); } function cleanString(string) { return string.replace(/&/g,"&").replace(//g,">"); } function updateUptime () { var now = new Date(); $("#uptime").text(now.toRelativeTime()); } function updateTitle(){ if (unread) { document.title = "(" + unread.toString() + ") Real time " + selectedIp + " monitor"; } else { document.title = "Real time " + selectedIp + " monitor"; } } function pad(n) { return ("0" + n).slice(-2); } function startWs(ip) { try { ws = new WebSocket("ws://" + wsServer + "?ip=" + ip); $('#toolbar').css('background', '#65A33F'); $('#socketStatus').html('Connected to ' + wsServer); //console.log("startWs:" + ip); //listen for browser events so we know to update the document title $(window).bind("blur", function() { focus = false; updateTitle(); }); $(window).bind("focus", function() { focus = true; unread = 0; updateTitle(); }); } catch (err) { //console.log(err); setTimeout(startWs, timeout); } ws.onmessage = function(event) { unread++; updateTitle(); var now = new Date(); var hh = pad(now.getHours()); var mm = pad(now.getMinutes()); var ss = pad(now.getSeconds()); var timeMark = '[' + hh + ':' + mm + ':' + ss + '] '; logString = eval(event.data); var host = logString[0]; var line = "" + timeMark + "" + host + ""; line += "" + logString[1]; + ""; if (logString[2]) { line += " " + logString[2] + ""; } $('#log').append(line); updateCount(); window.scrollBy(0, 100000000000000000); }; ws.onclose = function(){ //console.log("ws.onclose"); $('#toolbar').css('background', '#933'); $('#socketStatus').html('Disconected'); setTimeout(function() {startWs(selectedIp)}, timeout); } } $(document).ready(function() { startWs(selectedIp); }); The server part: The server part will handle silently all PHP warnings and errors and it will send them to the node server. The idea is to place a minimal PHP line of code at the beginning of the application that we want to monitor. Imagine the following piece of PHP code $a = $var[1]; $a = 1/0; class Dummy { static function err() { throw new Exception("error"); } } Dummy1::err(); it will throw: A notice: Undefined variable: var A warning: Division by zero An Uncaught exception ‘Exception’ with message ‘error’ So we will add our small library to catch those errors and send them to the node server include('client/NodeLog.php'); NodeLog::init('192.168.2.2'); $a = $var[1]; $a = 1/0; class Dummy { static function err() { throw new Exception("error"); } } Dummy1::err(); The script will work in the same way than the fist version but if we start our node.js server in a console: $ node server.js HTTP server started at 192.168.2.2::5672 Web Socket server started at 192.168.2.2::8880 We will see those errors/warnings in real-time when we start our browser Here we can see a small screencast with the working application: This is the server side library: class NodeLog { const NODE_DEF_HOST = '127.0.0.1'; const NODE_DEF_PORT = 5672; private $_host; private $_port; /** * @param String $host * @param Integer $port * @return NodeLog */ static function connect($host = null, $port = null) { return new self(is_null($host) ? self::$_defHost : $host, is_null($port) ? self::$_defPort : $port); } function __construct($host, $port) { $this->_host = $host; $this->_port = $port; } /** * @param String $log * @return Array array($status, $response) */ public function log($log) { list($status, $response) = $this->send(json_encode($log)); return array($status, $response); } private function send($log) { $url = "http://{$this->_host}:{$this->_port}?logString=" . urlencode($log); $ch = curl_init(); curl_setopt($ch, CURLOPT_URL, $url); curl_setopt($ch, CURLOPT_NOBODY, true); curl_setopt($ch, CURLOPT_RETURNTRANSFER, true); $response = curl_exec($ch); $status = curl_getinfo($ch, CURLINFO_HTTP_CODE); curl_close($ch); return array($status, $response); } static function getip() { $realip = '0.0.0.0'; if ($_SERVER) { if ( isset($_SERVER['HTTP_X_FORWARDED_FOR']) && $_SERVER['HTTP_X_FORWARDED_FOR'] ) { $realip = $_SERVER["HTTP_X_FORWARDED_FOR"]; } elseif ( isset($_SERVER['HTTP_CLIENT_IP']) && $_SERVER["HTTP_CLIENT_IP"] ) { $realip = $_SERVER["HTTP_CLIENT_IP"]; } else { $realip = $_SERVER["REMOTE_ADDR"]; } } else { if ( getenv('HTTP_X_FORWARDED_FOR') ) { $realip = getenv('HTTP_X_FORWARDED_FOR'); } elseif ( getenv('HTTP_CLIENT_IP') ) { $realip = getenv('HTTP_CLIENT_IP'); } else { $realip = getenv('REMOTE_ADDR'); } } return $realip; } public static function getErrorName($err) { $errors = array( E_ERROR => 'ERROR', E_RECOVERABLE_ERROR => 'RECOVERABLE_ERROR', E_WARNING => 'WARNING', E_PARSE => 'PARSE', E_NOTICE => 'NOTICE', E_STRICT => 'STRICT', E_DEPRECATED => 'DEPRECATED', E_CORE_ERROR => 'CORE_ERROR', E_CORE_WARNING => 'CORE_WARNING', E_COMPILE_ERROR => 'COMPILE_ERROR', E_COMPILE_WARNING => 'COMPILE_WARNING', E_USER_ERROR => 'USER_ERROR', E_USER_WARNING => 'USER_WARNING', E_USER_NOTICE => 'USER_NOTICE', E_USER_DEPRECATED => 'USER_DEPRECATED', ); return $errors[$err]; } private static function set_error_handler($nodeHost, $nodePort) { set_error_handler(function ($errno, $errstr, $errfile, $errline) use($nodeHost, $nodePort) { $err = NodeLog::getErrorName($errno); /* if (!(error_reporting() & $errno)) { // This error code is not included in error_reporting return; } */ $log = array( NodeLog::getip(), "{$err} {$errfile}:{$errline}", nl2br($errstr) ); NodeLog::connect($nodeHost, $nodePort)->log($log); return false; }); } private static function register_exceptionHandler($nodeHost, $nodePort) { set_exception_handler(function($exception) use($nodeHost, $nodePort) { $exceptionName = get_class($exception); $message = $exception->getMessage(); $file = $exception->getFile(); $line = $exception->getLine(); $trace = $exception->getTraceAsString(); $msg = count($trace) > 0 ? "Stack trace:\n{$trace}" : null; $log = array( NodeLog::getip(), nl2br("Uncaught exception '{$exceptionName}' with message '{$message}' in {$file}:{$line}"), nl2br($msg) ); NodeLog::connect($nodeHost, $nodePort)->log($log); return false; }); } private static function register_shutdown_function($nodeHost, $nodePort) { register_shutdown_function(function() use($nodeHost, $nodePort) { $error = error_get_last(); if ($error['type'] == E_ERROR) { $err = NodeLog::getErrorName($error['type']); $log = array( NodeLog::getip(), "{$err} {$error['file']}:{$error['line']}", nl2br($error['message']) ); NodeLog::connect($nodeHost, $nodePort)->log($log); } echo NodeLog::connect($nodeHost, $nodePort)->end(); }); } private static $_defHost = self::NODE_DEF_HOST; private static $_defPort = self::NODE_DEF_PORT; /** * @param String $host * @param Integer $port * @return NodeLog */ public static function init($host = self::NODE_DEF_HOST, $port = self::NODE_DEF_PORT) { self::$_defHost = $host; self::$_defPort = $port; self::register_exceptionHandler($host, $port); self::set_error_handler($host, $port); self::register_shutdown_function($host, $port); $node = self::connect($host, $port); $node->start(); return $node; } private static $time; private static $mem; public function start() { self::$time = microtime(TRUE); self::$mem = memory_get_usage(); $log = array(NodeLog::getip(), "Start >>>> {$_SERVER['REQUEST_URI']}"); $this->log($log); } public function end() { $mem = (memory_get_usage() - self::$mem) / (1024 * 1024); $time = microtime(TRUE) - self::$time; $log = array(NodeLog::getip(), "End <<<< mem: {$mem} time {$time}"); $this->log($log); } } And of course the full code on gitHub: RealTimeMonitor
May 15, 2011
by Gonzalo Ayuso
· 29,351 Views
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Reset MySQL Root Password On Linux
Five easy steps to reset MySQL root password. Stop the MySQL server. Start the MySQL server with the --skip-grant-tables option. (it will not prompt for password) Connect to MySQL server as the root user. Setup new MySQL root password. Exit and restart the MySQL server. ### Shell Commands ### /etc/init.d/mysql stop mysqld_safe --skip-grant-tables & mysql -u root ### SQL Commands ### use mysql; UPDATE user SET password=PASSWORD("new-password") WHERE user='root'; flush privileges; exit ### Shell Commands ### /etc/init.d/mysql stop /etc/init.d/mysql start mysql -u root -pnew-password
May 13, 2011
by Artur Mkrtchyan
· 5,779 Views
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Practical PHP Testing Patterns: Transaction Rollback Teardown
Maintaining isolation of tests when they have a database as Shared Fixture is not a trivial task. An important constraint is not having the headache of keeping track what manipulations on the database has your code done; in that case the rollback may not even be performed in case of a regression. An alternative way to resetting the database via DELETE and TRUNCATE queries is to roll back a transaction which has been started in the setup phase during the teardown. Implementation The phases of a database test involving Transaction Rollback Teardown are roughly the following: begin transaction, usually in setUp(). arrange, act, assert actions in the various Test Methods. rollback of the transaction in teardown(). The active transaction is never committed. An issue with using this pattern is that code that already uses transaction is prone to generate errors, and ultimately should never be tested with this technique. The rules for your safety are simple: the SUT should never start a transaction or committing it. Some databases support nested transaction levels, but it's very brittle to use them for testing purposes, and in case of any failure the whole suite will blow up as test executes teardowns at the wrong level of nesting. This pattern safety is also difficult to ensure, as DDL statements like CREATE/DELETE or other commands may commit the current transaction automatically. Check the documentation of your testing database. The advantage of this pattern is great performance: rollback is faster than every other command, including TRUNCATE. Moreover, if you encapsulate transactions well in your production code, most of it won't commit them (typically leaving the control over the transaction to an upper layer). Doctrine 2 In a sense, we already use this pattern with an UnitOfWork ORM such as Doctrine 2 when we do not flush() the ORM in our code. The flow is: The database is ready by setup. Exercise code. Check results as persisted or removed entities. Instead of calling flush() over the Entity Manager, call clear(). In this case, the database never sees a transaction, as Doctrine 2 keeps everything in the Unit Of Work until you say to flush it. Even when your code is calling flush(), you can explicitly use beginTransaction() and rollback() over the connection object: in this other scenario, the testing database sees an open transaction, but it's never committed and can be discarded in teardown() like the pattern prescribes. Example The code sample is the same test case shown in the Table Truncation Teardown article, which now uses transactions to encapsulate the single tests. The various tests check the tables content is restored, along with the AUTOINCREMENT next value. exec('CREATE TABLE users ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(255) )'); } $this->connection = self::$sharedConnection; $this->connection->beginTransaction(); } public function teardown() { $this->connection->rollback(); } public function testTableCanBePopulated() { $this->connection->exec('INSERT INTO users (name) VALUES ("Giorgio")'); $this->assertEquals(1, $this->howManyUsers()); } public function testTableRestartsFrom1() { $this->assertEquals(0, $this->howManyUsers()); $this->connection->exec('INSERT INTO users (name) VALUES ("Isaac")'); $stmt = $this->connection->query('SELECT name FROM users WHERE id=1'); $result = $stmt->fetch(); $this->assertEquals('Isaac', $result['name']); } public function testTableIsEmpty() { $this->assertEquals(0, $this->howManyUsers()); } private function howManyUsers() { $stmt = $this->connection->query('SELECT COUNT(*) AS number FROM users'); $result = $stmt->fetch(); return $result['number']; } }
May 11, 2011
by Giorgio Sironi
· 7,943 Views
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10 Tricky Java Interview Questions
Here are some Java interview questions which are un-common What is the performance effect of a large number of import statements which are not used? Answer: They are ignored if the corresponding class is not used. Give a scenario where hotspot will optimize your code? Answer: If we have defined a variable as static and then initialized this variable in a static block then the Hotspot will merge the variable and the initialization in a single statement and hence reduce the code. What will happen if an exception is thrown from the finally block? Answer: The program will exit if the exception is not catched in the finally block. How does decorator design pattern works in I/O classes? Answer: The various classes like BufferedReader , BufferedWriter workk on the underlying stream classes. Thus Buffered* class will provide a Buffer for Reader/Writer classes. If I give you an assignment to design Shopping cart web application, how will you define the architecture of this application. You are free to choose any framework, tool or server? Answer: Usually I will choose a MVC framework which will make me use other design patterns like Front Controller, Business Delegate, Service Locater, DAO, DTO, Loose Coupling etc. Struts 2 is very easy to configure and comes with other plugins like Tiles, Velocity and Validator etc. The architecture of Struts becomes the architecture of my application with various actions and corresponding JSP pages in place. What is a deadlock in Java? How will you detect and get rid of deadlocks? Answer: Deadlock exists when two threads try to get hold of a object which is already held by another object. Why is it better to use hibernate than JDBC for database interaction in various Java applications? Answer: Hibernate provides an OO view of the database by mapping the various classes to the database tables. This helps in thinking in terms of the OO language then in RDBMS terms and hence increases productivity. How can one call one constructor from another constructor in a class? Answer: Use the this() method to refer to constructors. What is the purpose of intern() method in the String class? Answer: It helps in moving the normal string objects to move to the String literal pool How will you make your web application to use the https protocol? Answer: This has more to do with the particular server being used than the application itself. Here is how it can be done on tomcat: http://tomcat.apache.org/tomcat-4.1-doc/ssl-howto.html From http://extreme-java.blogspot.com/2011/05/10-tricky-java-interview-questions.html
May 10, 2011
by Sandeep Bhandari
· 101,815 Views · 1 Like
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Practical PHP Testing Patterns: Stored Procedure Test
It happened in the day before the advent of DDD and the Hexagonal architecture, that you had code that lived inside the database, such as Stored Procedures, constraints, and triggers. Back in the day, the relational database was considered the single source of truth instead of a Domain Model written in a language like PHP or Java. Today the picture is different - but there are still scenarios where pushing code in the database make sense. One of the reasons for having logic expressed as SQL and in other database languages is their power, and their performance. SQL operators, especially when augmented by proprietary extensions, let you declare pieces of logic that you would instead have to code by hand. SQL that is executed directly on the database can accomplish operations too onerous to perform over a reconstituted object graph with a subsequent saving. In fact, every decent ORM include a language for batch updates that translates to SQL, like Doctrine with DQL; and also a mechanism for providing hints for the underlying database, like indexes definitions. The problem with SQL derivates and other database-specific embedded logic is that we cannot execute it and test it in isolation - we need a real copy of the database to perform our tests. Thus the Stored Procedure Test is an umbrella term for tests that encompasses database code, even when they're not actually stored procedures. When I'll use the term stored procedure in this article, it will be to signify any database-specific code, such as complex queries, triggers and so on. Implementation The pattern prescribes to write unit tests for the stored procedure, to test it in isolation from the rest of application a first simplification. These tests cover nontrivial logic in database code - probably you don't need them for indexes definition, but more for queries with aggregate functions. In the PHP world, Sqlite often suffices for testing queries - as long as you have an intermediate layer like Doctrine DBAL (part of Doctrine 2) which smooths out the differences between vendors. You use MySQL in production, Sqlite in the test suite, and you can write queries in Doctrine's DQL being confident that it will translate them to the right SQL dialect. These tests should be executed in a sandbox - a database with just enough structure and data to test the stored procedure at hand. This sandbox should run by definition on the production dbms. The most difficult aspect of the pattern is integrating with the dbms: it should be running and listening on the right port. A sandbox should be created in setUp() or setUpBeforeClass(), and destroyed during teardown. In case the database is not available, the tests should be marked as skipped or incomplete. Variations In In-Database Stored Procedure Tests, the test is written in the same language as the database code. I cannot imagine something more boring for a PHP programmer. In Remoted Stored Procedure Tests, which is the variation of interest for us, the tests are written in PHPUnit and integrated with the suite (slowing it down a bit). The logic is that whatever SQL logic you're going to add to your application, is already encapsulated in some PHP class: for example, complex queries are encapsulated in Repositories or DAO. So it's going to be feasible to build a sandbox via PHP code, and test the stored procedure as a black box. It will be encapsulated for a unique execution, like schema creation, or for executing multiple times in case of queries. Example The example shows you how to test a query with a real database - supposing a surrogate database does not support all the needed functions - from inside a test suite. I thought it would be difficult to write this test, but instead it required less than a Pomodoro. connection = new PDO("mysql:host=localhost;dbname=sandbox", 'root', ''); $this->connection->exec("CREATE TABLE users (name VARCHAR(255) NOT NULL PRIMARY KEY, year YEAR)"); $this->repository = new UserRepository($this->connection, 2011); } public function testAverageAgeIsCalculated() { $this->insertUser('Giorgio', 1942); $this->insertUser('Isaac', 1920); $this->assertEquals(80, $this->repository->getAverageAge()); } private function insertUser($name, $year) { $stmt = $this->connection->prepare("INSERT INTO users (name, year) VALUES (:name, :year)"); $stmt->bindValue('name', $name, PDO::PARAM_STR); $stmt->bindValue('year', $year, PDO::PARAM_INT); return $stmt->execute(); } public function tearDown() { $this->connection->exec('DROP TABLE users'); } } class UserRepository { private $connection; private $currentYear; public function __construct(PDO $connection, $currentYear) { $this->connection = $connection; $this->currentYear = $currentYear; } /** * We suppose AVG() cannot be correctly implemented by Sqlite or * another surrogate database (substitute another vendor feature * for the same effect). * We also suppose reconstituting millions of User objects to calculate * their average age isn't feasible: that's why we used SQL directly. */ public function getAverageAge() { $stmt = $this->connection->prepare('SELECT AVG(:year - year) AS average_age FROM users'); $stmt->bindValue('year', $this->currentYear, PDO::PARAM_INT); $stmt->execute(); $row = $stmt->fetch(); return $row['average_age']; } }
May 4, 2011
by Giorgio Sironi
· 2,863 Views
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Gant 1.9.5 released
There was a regression in the 1.9.4 release of Gant that could not be ignored. The problem has been corrected, and a new release candidate checked by the people who found the regression (thanks due to Jeff Brown and the Grails folk). There is therefore a shiny new Gant 1.9.5 release. Everything should be in place at Codehaus already and Maven will get updated as soon as the Codehaus -> Maven sync happens. The regression whilst essentially trivial, was sufficiently fundamental that I have taken the drastic step of removing the 1.9.4 release from everywhere. This should have no effect on people using Groovy 1.7 or 1.8, they should use Gant 1.9.5. People still using Groovy 1.6 will not see a Gant 1.9.5 and will have to stay weith Gant 1.9.3. Of course people still using Groovy 1.6 should upgrade to 1.8.0 immediately and therefore not have a problem with Gant :-)
May 3, 2011
by Russel Winder
· 352 Views
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