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Using Spring Interceptors in your MVC Webapp
I thought that it was time to take a look at Spring’s MVC interceptor mechanism, which has been around for a good number of years and is a really useful tool.
September 29, 2011
by Roger Hughes
· 71,410 Views
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Creating OSGi projects using Eclipse IDE and Maven
f you want to create any of these projects listed below using Eclipse IDE, OSGi Application Project OSGi Bundle Project OSGi Composite Bundle Project OSGi Fragment Project Blueprint File you need to have IBM Rational Development Tools for OSGi Applications installed. Why do we need these tools? Create and edit OSGi bundles, composite bundles, bundle fragments, and applications. Import and export OSGi bundles, composite bundles, bundle fragments, and applications. Convert existing Java Enterprise Edition (Java EE) web, Java Persistence Application (JPA), plug-in, or simple Java projects into OSGi bundles. Edit OSGi bundle, application, and composite bundle manifest files. Create and edit OSGi blueprint configuration files. Edit OSGi blueprint binding configuration files. Diagnose and fix problems in your bundles and applications using validation and quick fixes. Eclipse Plugin Installation Before you install the tools, you must have the Eclipse Helios v3.6.2 package, Eclipse IDE for Java EE Developers installed. 1. Click on Help > Install New Software 2. Point to this update site – http://public.dhe.ibm.com/ibmdl/export/pub/software/rational/OSGiAppTools – and click on Add. 3. You’ll see a list of tools – OSGi Application Development Tools, OSGi Application Development Tools UI, OSGi context-sensitive help, OSGi Help documentation, Rational Development Tools for OSGi Applications help documentation. Select all those are listed (you can ignore help stuff) and go ahead with the installation. As of writing this, the development tools’ version is 1.0.3. Maven Integration If you want to manage any of these OSGi projects using Maven, you can right-click on it and select Maven > Enable Dependency Management. You need to have Maven Integration for Eclipse(m2e) installed for this which you can find in Eclipse Marketplace. If you use Maven, you can try using the plugins provided by Apache Felix project for bundling (building an OSGi bundle). More on this plugin @ http://felix.apache.org/site/apache-felix-maven-bundle-plugin-bnd.html, http://felix.apache.org/site/apache-felix-maven-osgi-plugin.html References: http://www.ibm.com/developerworks/rational/downloads/10/rationaldevtoolsforosgiapplications.html#download From http://singztechmusings.wordpress.com/2011/09/12/creating-osgi-projects-using-eclipse-ide-and-maven/
September 21, 2011
by Singaram Subramanian
· 26,301 Views
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Using RESTful URLs on your Spring 3 MVC Webapp
This blog comes as an answer to a question from a reader. Now, as a rule, I don’t do request blogs, but I thought that this sounded like an interesting topic. The question refers to my blog from July 11 on accessing request parameters using Spring 3 MVC and was “Do you know how to encode the uuid so it is not visible to the user for security concerns?”. The answer is “Yes”, but that would make for a very short blog. In this case I’m assuming that the question is talking about using RESTful URLs to maintain session state information between pages. REST is a subject that’s had many words written about it, but putting it in very simplistic terms I’m defining it as not storing session or state information on your web server between browser calls. Even more simply put, it means not using the HttpSession interface implementations. Not maintaining state on the server gives you at least two obvious benefits; the first being improved loading. This is because your server is not using memory for storing state data which may, or may not be needed. The second benefit is scaling. If you’re using a domain with multiple servers, then tying session state to one server is problematic as you can’t usually guarantee that subsequent sequential calls to the domain will be directed to the same physical server. There are various techniques use to solve this problem, including making everything form based and storing state information in hidden fields, using cookies, and manipulating URLs. This blog demonstrates the third technique of encrypting state data and tagging it onto the end of a URL, so that it’s passed back and forth between the browser and the server as a request parameter: http://www.mywebsite.com/thepageIwant?session=ThisIsEncodedData An example scenario for this technique would an e-commerce site. In this case, you’d select a couple of items and add them to your basket. You’d then login and review your basket and then perhaps modify the delivery address before proceeding to pay. In doing all this, you conceptually remain logged in to the server but, in the RESTful world, the server doesn’t remember you. This example uses three screens to demonstrate this idea. The first screen logs you in, the second contains a URL that includes some session data, and the third displays the session data for review. The screen shot above shows a simple login screen. Note that I’ve used a clear text password for demonstration purposes only. The second screen in this scenario is the one that contains the encrypted session information; namely the user name and password, which has both been displayed and glued on to the end of the href of an anchor tag. The last screen shows the decoded session information demonstrating that we’ve still got it and that it’s correct. Moving on to the actual Java code for this demo... The simple bean below I’ve called Session and it holds all the state data we want encoding. public class Session { private static final String SEP = "=/="; private String name; private String password; public Session() { // Blank } public Session(String combined) { String[] split = combined.split(SEP); name = split[0]; password = split[1]; } public String getName() { return name; } public void setName(String username) { this.name = username; } public String getPassword() { return password; } public void setPassword(String password) { this.password = password; } @Override public String toString() { return name + SEP + password; } } If you look at the code above, you’ll see that it contains two features that give it context in the application. The toString(...) returns a string that the application can encode and the single argument constructor can create a full bean from its argument. This works cohesively with the controller code, which is shown below... @Controller public class RewriteController { private static final String ENCODING_KEY = "ThisWillBeTheKey"; /** * Create the initial blank form */ @RequestMapping(value = "/loginform", method = RequestMethod.GET) public String getCreateForm(Model model) { model.addAttribute("Session", new Session()); return "login.page"; } /** * This is where you login... */ @RequestMapping(value = "/login", method = RequestMethod.POST) public String login(Session userDetails, Model model) throws UnsupportedEncodingException { byte[] encodedBytes = encodeURL(userDetails); String encodedURL = new String(Base64.encodeBase64(encodedBytes)); model.addAttribute("encodedURL", encodedURL); return "display.encoded.url"; } private byte[] encodeURL(Session userDetails) throws UnsupportedEncodingException { RC4Lite rc4 = getRC4Lite(); byte[] in = userDetails.toString().getBytes("UTF8"); byte[] out = new byte[in.length]; rc4.encrypt(in, 0, out, 0, in.length); return out; } private RC4Lite getRC4Lite() throws UnsupportedEncodingException { RC4Lite rc4 = new RC4Lite(); rc4.setKey(ENCODING_KEY.getBytes("UTF8")); return rc4; } /** * This is where you're still in the REST session and re-validate the user */ @RequestMapping(value = "/decode", method = RequestMethod.GET) public String someSessionMethod( @RequestParam(value = "session") String sessionParam, Model model) throws UnsupportedEncodingException { byte[] encodedBytes = Base64 .decodeBase64(sessionParam.getBytes("UTF8")); String decodedString = decodeURL(encodedBytes); Session session = new Session(decodedString); model.addAttribute(session); return "display.decoded.url"; } private String decodeURL(byte[] encodedBytes) throws UnsupportedEncodingException { RC4Lite rc4 = getRC4Lite(); byte[] out = new byte[encodedBytes.length]; rc4.decrypt(encodedBytes, 0, out, 0, encodedBytes.length); return new String(out); } } The controller class above contains three handler methods. The first handler method, getCreateForm(...), is fairly straight forward and simply adds a Session bean the model before displaying the login in form. The second handler method, login(...), is where all the action takes place. There are two parts to encoding the session data (the name and password). Part one is to encrypt the data and for that I’ve simply borrowed my RC4Lite class from my RC4 Encryption blog1. Once encrypted, the RC4 bytes will need converting into ASCII and for that I’ve used Apache’s Base64 class as described in my base64 blog. Converting to ASCII ensures that the characters are printable and don’t cause any problems. The string is then added to the model where it’s attached to the anchor tag as shown in the following JSP snippet: The final handler method, someSessionMethod(...) receives the input from the above link, decodes it using a reverse process to encoding It then creates a new Session object and puts that into the model, which is then displayed on the final page. Remember that this is only a sample, it just demonstrates the idea of encrypting session information and adding to a URL as a parameter. There are improvements you could make here, for example: using a interceptor to authenticate with the server upon each request before doing the business logic in the controller, or using a better encryption class, but in essence the principle applies to any webapp. There are also other techniques you can use for achieving secure web communications, so more on those later perhaps... 1 There are better ways of doing encryption than RC4, it's used here only for convenience in this demonstration. From http://www.captaindebug.com/2011/09/using-restful-urls-on-your-spring-3-mvc.html
September 21, 2011
by Roger Hughes
· 12,980 Views
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Spring and PersistenceContextType.EXTENDED
Recently I was introduced to a project that’s already 4 months in development. After a day of coding I realized there’s something wrong with the session and transaction management. Then I found something that I’ve never used and didn’t quite know when it should be used – the EntityManager was injected into DAO objects via @PersistenceContext(type=PersistenceContextType.EXTENDED) First thing to do – google. Found this spring forum discussion, which made it clearer, but not quite. Then I started debugging and realized that the application is de-facto using the session-per-application anti-pattern. Not only that, but each DAO got its own entity manager (and underlying session) instance. An important note here – I say “entity manager and underlying session”, because Hibernate simply wraps its Session with an implementation of the standard EntityManager interface. So it makes a little difference whether we talk about entity manager or session. What happens? PerssitenceContextType.EXTENDED means that you, rather than spring, are in charge of managing your session. All spring does is create it on startup and close it on shutdown. The other option (which is the default – PerssitenceContextType.TRANSACTION) lets spring’s transaction managers create the entity manager (and session) for each request, start a transaction, and when you are finished – commit the transaction and close the session. This is called session and transaction management, and it is one of the most important things to do in a spring & JPA project. It should be done right almost from the start, so the next time you do such a project, spend extra days to get this right. But what is wrong with the above situation? Here are some effects of the extended manager: Each DAO gets a different instance of the EntityManager so you can’t do any meaningful work that involves two DAOs. If you insert a records with one EntityManager and try to use it in another one – it won’t work. The first hasn’t been flushed, and the second does not have the 1st level cache. If a session does not get closed it accumulates entities (it stores them in memory so that it doesn’t have to fetch them multiple times from the DB). Which is a pure memory leak. It is not thread-safe. The Session and EntityManager objects are not thread-safe. Since you are most likely to inject them in a singleton DAO object you will start getting weird results due to concurrent access How did this happen and why it got unnoticed for so long? I have a theory. 1. People started using the DAO layer directly from the web layer 2. Something wasn’t working for someone, so he changed the type of the persistence context, which made his code work. 3. As the project is not having many inserts, people were mainly reading data and didn’t stumble upon the various problems. 4. There hasn’t been extensive testing, with multiple people on the same instance, so the concurrency problems were not spotted. One more thing – PersistenceContextType.EXTENDED is useful in limited scenarios. The so called long-running session or session-per-conversation. When you have wizards you can have multiple requests with the same session, which saves some detaching and merging. But should you use that, make sure you don’t do it for the whole application and that you are absolutely know what you are doing. And close the session when the conversation ends. Another scenario is usage in EJB stateful beans. (In general, the extended persistence context makes more sense in a JavaEE environment) So to summarize: Spend a lot of time to properly configure session and transaction management and try to get it right Almost never use PersistenceContextType.EXTENDED in spring (outside a JavaEE container at least) Don’t use the DAO layer directly from the web layer. A base service class with wrappers for the most used operations would not be too verbose, but will save you countless headaches Code reviews should be thorough, or commit rights to core classes and configurations should be limited to a number of people that know what they are doing From http://techblog.bozho.net/?p=417
September 13, 2011
by Bozhidar Bozhanov
· 13,828 Views · 35 Likes
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Jquery and ASP.NET- Set and Get Value of Server control
Yesterday one of my reader asked me one question that How can I set or get values from Jquery of server side element for example. So I decided to write blog post for this. This blog post is for all this people who are learning Jquery and don’t know how to set or get value for a server like ASP.NET Textbox. I know most of people know about it as Jquery is very popular browser JavaScript framework. I believe jquery as framework because it’s a single file which has lots of functionality. For this I am going to take one simple example asp.net page which contain two textboxes txtName and txtCopyName and button called copyname. On click of that button it will get the value from txtName textbox and set value of another box. So following is HTML for this. As you can see in following code there are two textbox and one button which will call JavaScript function called to CopyName to copy text from one textbox from another textbox.Now we are going to use the Jquery for this. So first we need to include Jquery script file to accomplish the task. So I am going link that jquery.js file in my header section like following. Here I have used the ASP.NET Jquery CDN. If you want know more about Jquery CDN you can visit this link. http://www.asp.net/ajaxlibrary/cdn.ashx Now it’s time to write query code. Here I have used val function to set and get value for the element. Following is the code for CopyName function. function CopyName() { var name = $("#").val(); //get value $("#").val(name); //set value return false; } Here I have used val function of jquery to set and get value. As you can see in the above code, In first statement I have get value in name variable and in another statement it was set to txtCopy textbox. Some people might argue why you have used that ClientID but it’s a good practice to have that because when you use multiple user controls your id and client id will be different. From this I have came to know that there are lots of people still there who does not basic Jquery things so in future I am going to post more post on jquery basics.That’s it. Hope you like it.
September 8, 2011
by Jalpesh Vadgama
· 42,350 Views
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Cloud Integration with Apache Camel and Amazon Web Services (AWS): S3, SQS and SNS
The integration framework Apache Camel already supports several important cloud services (see my overview article at http://www.kai-waehner.de/blog/2011/07/09/cloud-computing-heterogeneity-will-require-cloud-integration-apache-camel-is-already-prepared for more details). This article describes the combination of Apache Camel and the Amazon Web Services (AWS) interfaces of Simple Storage Service (S3), Simple Queue Service (SQS) and Simple Notification Service (SNS). Thus, The concept of Infrastructure as a Service (IaaS) is used to access messaging systems and data storage without any need for configuration. Registration to AWS and Setup of Camel First, you have to register to the Amazon Web Services (for free). Most AWS services include a free monthly quota, which is absolutely sufficient to play around and develop some simple applications. As its name states, AWS uses technology-independent web services. Besides, APIs for several different programming languages are available to ease development. By the way, Camel uses the AWS SDK for Java (http://aws.amazon.com/sdkforjava), of course. The documentation is detailed and easy to understand, including tutorials, screenshots and code examples . Hint 1: You should read the introductions to S3, SQS and SNS (go to http://aws.amazon.com and click on „products“) and play around with the AWS Management Console (http://aws.amazon.com/console) before you continue. This step is very easy and takes less than one hour. Then, you will have a much better understanding about AWS and where Camel can help you! Hint 2: It really helps to look at the source code of the camel-aws component, It helps you to understand how Camel uses the AWS Java API internally. If you want to write tests, you can do it the same way. In the past, I was afraid of looking at „complex“ source code of open source frameworks. But there is no need to be scared! The camel-aws component (and most other camel components) contain only of a few classes. Everything is easy to understand. It helps you to understand Camel internals, the AWS API, and to spot and solve errors due to exceptions in your code. In the meanwhile, the current Camel version 2.8 supports three AWS services: S3, SQS and SNS. All of them use similar concepts. Therefore, they are included in one single camel component: „camel-aws“. You have to add the libraries to your existing Camel project. As always, the simplest way is to use Maven and add the following dependency to the pom.xml: org.apache.camel camel-aws ${camel-version} Configuration of the Camel Endpoint The implementation and configuration of all three services is very similar. The URI looks like this (the code shows the SQS service): aws-sqs://queue-name[?options] There are two alternatives to configure your endpoint. Using Parameters The easy way is to use two paramters in the URI of your endpoint: „accessKey“ and „secretKey“ (you receive both after your AWS registration). “aws-sqs://unique-queue-name?accessKey=“INSERT_ME“&secretKey=INSERT_ME” Be aware of the following problem, which can result in a strange, non-speaking exception (thanks to Brendan Long): You’ll need to URL encode any +’s in your secret key (otherwise, they’ll be treated as spaces). + = %2B, so if your secretkey was “my+secret\key”, your Camel URL should have “secretKey=my%2Bsecret\key”. “Within the query string, the plus sign is reserved as shorthand notation for a space. Therefore, real plus signs must be encoded. This method was used to make query URIs easier to pass in systems which did not allow spaces.” Source: WC3 URI Recommendations Adding a configured AmazonClient to the Registry If you need to do more configuration (e.g. because your system is behind a firewall), you have to add an AmazonClient object to your registry. The following code shows an example using SQS, but SNS and S3 use exactly the same concept. @Override protected JndiRegistry createRegistry() throws Exception { JndiRegistry registry = super.createRegistry(); AWSCredentials awsCredentials = new BasicAWSCredentials(“INSERT_ME”, “INSERT_ME”); ClientConfiguration clientConfiguration = new ClientConfiguration(); clientConfiguration.setProxyHost(“http://myProxyHost”); clientConfiguration.setProxyPort(8080); AmazonSQSClient client = new AmazonSQSClient(awsCredentials, clientConfiguration); registry.bind(“amazonSQSClient”, client); return registry; } This example overwrites the createRegistry() method of a JUnit test (extending CamelTestSupport). You can also add this information to your runtime Camel application, of course. Apache Camel and the Simple Storage Service (S3) Simple Storage Service (S3) is a key-value-store. You can store small to very large data. The usage is very easy. You create buckets and put key-value data into these buckets. You can also create folders within buckets to organize your data. That’s it. You can monitor your buckets using the AWS Management Console – an intuitive GUI supporting most AWS services. The following example shows both alternatives for accessing the Amazon services (as described above): Paramenters and the AmazonClient. // Transfer data from your file inbox to the AWS S3 service from(“file:files/inbox”) // This is the key of your key-value data .setHeader(S3Constants.KEY, simple(“This is a static key”)) // Using parameters for accessing the AWS service .to(“aws-s3://camel-integration-bucket-mwea-kw?accessKey=INSERT_ME&secretKey=INSERT_ME&region=eu-west-1″); // Transfer data from the AWS S3 service to your file outbox from(“aws-s3://camel-integration-bucket-mwea-kw?amazonS3Client=#amazonS3Client&region=eu-wes”) .to(“file:files/outbox”); There are some additional parameters, for instance you can submit the desired AWS region or delete data after receiving it (see http://camel.apache.org/aws-s3.html and the corresponding SQS and SNS sites for more details about parameters and message headers). As you see in the code, you can use the AWS-S3 endpoint for producing and for consuming messages. Each bucket must be unique, thus you have to add some specific information such as your company to its name. Hint: If a bucket does not exist, Camel is creating it automatically (as the AWS API does). This concept is also used for SQS queues and SNS topics. Apache Camel and the Simple Queue Service (SQS) The Simple Queue Service (SQS) is similar to a JMS provider such as WebSphere MQ or ActiveMQ (but with some differences). You create queues and send messages to them. Consumers receive the messages. Contrary to most other AWS services, you cannot monitor queues by using the AWS management console directly. You have to use the service „Cloudwatch“ (http://aws.amazon.com/cloudwatch) and start an EC2 instance to monitor queues and its content. As you can see in the following code example, the syntax and concepts are almost the same as for the S3 service: from(“file:inbox”) .to(“aws-sqs://camel-integration-queue-mwea-kw?accessKey=INSERT_ME&secretKey=INSERT_ME”); from(“aws-sqs://camel-integration-queue-mwea-kw?amazonSQSClient=#amazonSQSClient”) .to(“file:outbox?fileName=sqs-${date:now:yyyy.MM.dd-hh:mm:ss:SS}”); Again, you can use the AWS-SQS endpoint for producing and for consuming messages. Each queue name must be unique. There exist two important differences to JMS (copy & paste from the AWS documentation): Q: How many times will I receive each message? Amazon SQS is engineered to provide “at least once” delivery of all messages in its queues. Although most of the time each message will be delivered to your application exactly once, you should design your system so that processing a message more than once does not create any errors or inconsistencies. Q: Why are there separate ReceiveMessage and DeleteMessage operations? When Amazon SQS returns a message to you, that message stays in the queue, whether or not you actually received the message. You are responsible for deleting the message; the delete request acknowledges that you’re done processing the message. If you don’t delete the message, Amazon SQS will deliver it again on another receive request. Apache Camel and the Simple Notification Service (SNS) The Simple Notification Service (SNS) acts like JMS topics. You create a topic, consumers subscribe to the topic and then receive notifications. Several transport protocols are supported: HTTP(S), Email and SQS. Further interfaces will be added in the future, e.g. the Short Message Service (SMS) for mobile phones. Contrary to S3 and SQS, Camel only offers a producer endpoint for this AWS service. You can only create topics and send messages via Camel. The reason is simple: Camel already offers endpoints for consuming these messages: HTTP, Email and SQS are already available. There is one tradeoff: A consumer cannot subscribe to topics using Camel – at the moment. The AWS Management Console has to be used. A very interesting discussion can be read on the Camel JIRA issue regarding the following questions: Should Camel be able to subscribe to topics? Should the producer contain this feature or should there be a consumer? In my opinion, there should be a consumer which is able to subscribe to topics, otherwise Camel is missing a key part of the AWS SNS service! Please read the discussion and contribute your opinion: https://issues.apache.org/jira/browse/CAMEL-3476. Apache Camel is already ready for the Cloud Computing Era AWS offers many more services for the cloud. Probably, it does not make sense to integrate everyone into Camel, but more AWS services will be supported in the future. For instance, SimpleDB and the Relational Database Service (RDS) are already planned and make sende, too: http://camel.apache.org/aws.html. The conclusion is easy: Apache Camel is already ready for the cloud computing era. Several important cloud services are already supported. Cloud integration will become very important in the future. Thus, Camel is on a very good way. Hopefully, we will see more cloud components, soon. I will continue to write articles about other Camel cloud components (and new AWS addons, ouf course). For instance, a component for the Platform as a Service (PaaS) product Google App Engine (GAE) is already available. If you have any additional important information, questions or other feedback, please write a comment. Thank you in advance… Best regards, Kai Wähner (Twitter: @KaiWaehner) [Content from my Blog: Cloud Integration with Apache Camel and Amazon Web Services (AWS): S3, SQS and SNS]
August 30, 2011
by Kai Wähner DZone Core CORE
· 26,194 Views
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Edge Side Includes with Varnish in 10 minutes
Varnish is a tool built to be an intermediate server in the HTTP chain, not an origin one like Apache or IIS. You can outsource caching, logging, zipping and other filters to Varnish, since they are not the main feature of an HTTP server like Apache. What we'll see today is how to work with Edge Side Includes in Varnish, as a way to compose dynamic pages from independently generated and cached fragments; we won't encounter logging or other features. If you are familiar with PHP, ESI is an (almost) standard for executing include()-like statements on a front end server like Varnish; the proxy is able not only to assembly pages but also to cache them according to different policies: a certain time, for a single user, and so on. Thijs Feryn and Alessandro Nadalin introduced me to Varnish and ESI respectively, for the first time. I recommend you to consider their blogs and talks as additional sources on these topics. Installation The default version of Varnish in Ubuntu 11.04 is instead 2.1, and apparently does not support ESI very much. Installation via packages means adding a public key and a repository to your list of software sources, and install the varnish package via apt-get or an equivalent command. You can install version 3.0.0 via packages, but only in Ubuntu LTS (10.04). A way that always works in these cases is the installation from sources. The linked page will list the package dependencies and give you a sequence of 3-4 commands to seamlessly compile varnish. I used checkinstall instead of make install to get a binary package that I can reuse later: $ sudo checkinstall -D --install=no --fstrans=no [email protected] --reset-uids=yes --nodoc --pkgname=varnish --pkgversion=3.0.0 --pkgrelease=201108231000 --arch=i386 After installation with dpkg, check that varnishd is available and of the right version: [10:18:17][giorgio@Desmond:~]$ varnishd -V varnishd (varnish-3.0.0 revision 3bd5997) Copyright (c) 2006 Verdens Gang AS Copyright (c) 2006-2011 Varnish Software AS Varnish needs minimal configuration: a server to point at. For our tests you can edit /etc/varnish/default.vcl and check (or add) the following: backend default { .host = "127.0.0.1"; .port = "80"; } You can execute ps -A | grep varnishd at any time to see if varnish is already in execution. Execution [09:55:18][giorgio@Desmond:~]$ sudo varnishd -f /etc/varnish/default.vcl -s malloc,1G -T 127.0.0.1:2000 -a 0.0.0.0:8080 storage_malloc: max size 1024 MB. 1 gigabyte of memory is allocated for keeping fragments in RAM. An administrative interface will respond on port 2000, and only be accessible from localhost. http://localhost:8080/ is the exposed HTTP server, and will point to http://localhost:80 as defined in the configuration. Look at man varnishd for more switched and to man vcl for additional explanations on the configuration language. A bit of ESI ESI is a technique for leveraging HTTP cache and at the same time build dynamic pages. The problem with today's pages is that they are highly dynamic: some sections change very often or according to the current user (Welcome, John Doe or the current posts timeline); some sections do not change at all for days (the navigation bar and the layout structure); some sections change in response to external events (the list of incoming messages only when a new message arrives). It would be ideal to set different caching configurations for all the page's fragments. But implementing this strategy in the application code is error-prone and means reinventing the wheel. To use HTTP cache you will be forced to load with Ajax every single fragment of the page, even a single paragraph. With ESI, your application produces only the pieces, and lets an implementor of the Edge Side Include specification like Varnish assemble the whole thing. Example HTML page (very static): Varnish will work on this page: . PHP page (really dynamic, can change at any time): Varnish will work on this page: 2011-08-23. No sign of Varnish interventions, and totally transparent for the client. And sometimes you can also throw away Zend_Layout and similar components to assemble HTML on the PHP side.
August 23, 2011
by Giorgio Sironi
· 25,233 Views · 1 Like
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Setting Default Value for @Html.EditorFor in ASP.NET MVC
In this blog post I am going to Explain How we create Default values for model Entities.
August 21, 2011
by Jalpesh Vadgama
· 72,877 Views
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Attaching Java source with Eclipse IDE
In Eclipse, when you press Ctrl button and click on any Class names, the IDE will take you to the source file for that class. This is the normal behavior for the classes you have in your project. But, in case you want the same behavior for Java’s core classes too, you can have it by attaching the Java source with the Eclipse IDE. Once you attach the source, thereafter when you Ctrl+Click any Java class names (String for example), Eclipse will open the source code of that class. To attach the Java source code with Eclipse, When you install the JDK, you must have selected the option to install the Java source files too. This will copy the src.zip file in the installation directory. In Eclipse, go to Window -> Preferences -> Java -> Installed JREs -> Add and choose the JDK you have in your system. Eclipse will now list the JARs found in the dialog box. There, select the rt.jar and choose Source Attachment. By default, this will be pointing to the correct src.zip. If not, choose the src.zip file which you have in your java installation directory. Similarly, if you have the javadoc downloaded in your machine, you can configure that too in this dialog box. Done! Here after, for all the projects for which you are using the above JDK, you’ll be able to browse the Java’s source code just like how you browse your own code. From http://veerasundar.com/blog/2011/08/attaching-java-source-with-eclipse-ide
August 18, 2011
by Veera Sundar
· 143,496 Views · 4 Likes
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Mocking JMS infrastructure with MockRunner to favour testing
This article shows *one* way to mock the JMS infrastructure in a Spring JMS application. This allows us to test our JMS infrastructure without actually having to depend on a physical connection being available. If you are reading this article, chances are that you are also frustrated with failing tests in your continuous integration environment due to a JMS server being (temporarily) unavailable. By mocking the JMS provider, developers are left free to test not only the functionality of their API (unit tests) but also the plumbing of the different components, e.g. in a Spring container. In this article I show how a Spring JMS Hello World application can be fully tested without the need of a physical JMS connection. I would like to stress the fact that the code in this article is by no means meant for production and that the approach shown is just one of many. The infrastructure For this article I use the following infrastructure: Apache ActiveMQ, an open source JMS provider, running on an Ubuntu installation Spring 3 Java 6 MockRunner Eclipse as development environment, running on Windows 7 The Spring configuration It's my belief that using what I define as Spring Configuration Strategy Pattern (SCSP) is the right solution in almost all cases when there is the need for a sound testing infrastructure. I will dedicate an entire article to SCSP, for now this is how it looks: The Spring application context Here follows the content of jemosJms-appContext.xml The only important thing to note here is that there are some services which rely on an existing bean named jmsConnectionFactory but that such bean is not defined in this file. This is key to the SCSP and I will illustrate this in one of my future articles. The Spring application context implementation Here follows the content of jemosJms-appContextImpl.xml which could be seen as an implementation of the Spring application context defined above This Spring context file imports the Spring application context defined above and it is this application context which declared the connection factory. This decoupling of the bean requirement (in the super context) from its actual declaration (Spring application context implementation) represents the cornerstore of SCSP. Mocking the JMS provider - The Spring Test application context and MockRunner Following the same approach I used above, I can now declare a fake connection factory which does not require a physical connection to a JMS provider. Here follows the content of jemosJmsTest-appContext.xml. Please note that this file should reside in the test resources of your project, i.e. it should never make it to production. Here the Spring test application context file imports the Spring application context (not its implementation) and it declares a fake connection factory, thanks to the MockRunner MockQueueConnectionFactory class. A POJO listener The job of handling the message is delegated to a simple POJO, which happens to be declared also as a bean: package uk.co.jemos.experiments; public class HelloWorldHandler { /** The application logger */ private static final org.apache.log4j.Logger LOG = org.apache.log4j.Logger .getLogger(HelloWorldHandler.class); public void handleHelloWorld(String msg) { LOG.info("Received message: " + msg); } } There is nothing glamorous about this class. In real life this should have probably be the implementation of an interface, but here I wanted to keep things simple. A simple JMS message producer Here follows an example of a JMS message producer, which would use the real JMS infrastructure to send messages: package uk.co.jemos.experiments; import org.springframework.context.ApplicationContext; import org.springframework.context.support.ClassPathXmlApplicationContext; import org.springframework.jms.core.JmsTemplate; public class JmsTest { /** The application logger */ private static final org.apache.log4j.Logger LOG = org.apache.log4j.Logger .getLogger(JmsTest.class); /** * @param args */ public static void main(String[] args) { ApplicationContext ctx = new ClassPathXmlApplicationContext( "classpath:jemosJms-appContextImpl.xml"); JmsTemplate jmsTemplate = ctx.getBean(JmsTemplate.class); jmsTemplate.send("jemos.tests", new HelloWorldMessageCreator()); LOG.info("Message sent successfully"); } } The only thing of interest here is that this class retrieves the real JmsTemplate to send a message to the queue. Now if I was to run this class as is, I would obtain the following: 2011-07-31 17:09:46 ClassPathXmlApplicationContext [INFO] Refreshing org.springframework.context.support.ClassPathXmlApplicationContext@19e0ff2f: startup date [Sun Jul 31 17:09:46 BST 2011]; root of context hierarchy 2011-07-31 17:09:46 XmlBeanDefinitionReader [INFO] Loading XML bean definitions from class path resource [jemosJms-appContextImpl.xml] 2011-07-31 17:09:46 XmlBeanDefinitionReader [INFO] Loading XML bean definitions from class path resource [jemosJms-appContext.xml] 2011-07-31 17:09:46 DefaultListableBeanFactory [INFO] Pre-instantiating singletons in org.springframework.beans.factory.support.DefaultListableBeanFactory@3479e304: defining beans [helloWorldConsumer,jmsTemplate,org.springframework.jms.listener.DefaultMessageListenerContainer#0,jmsConnectionFactory]; root of factory hierarchy 2011-07-31 17:09:46 DefaultLifecycleProcessor [INFO] Starting beans in phase 2147483647 2011-07-31 17:09:47 HelloWorldHandler [INFO] Received message: Hello World 2011-07-31 17:09:47 JmsTest [INFO] Message sent successfully Writing the integration test There are various interpretations as to what different types of tests mean and I don't pretend to have the only answer; my interpreation is that an integration test is a functional test which also wires up different components together but which does not interact with real external infrastructure (e.g. a Dao integration test fakes data, a JMS integration test fakes the JMS physical connection, an HTTP integration test fakes the remote Web host, etc). Whereas in my opinion, the main purpose of a unit (aka functional) test is to let the API emerge from the tests, the main goal of an integration test is to test that the plumbing amongst components works as expected so as to avoid surprises in a production environment. Both unit (functional) and integration tests should run very fast (e.g. under 10 minutes) as they constitute what can be considered the "development token". If unit and integration tests are green one should feel pretty confident that 90% of the functionality works as expected; in my projects when both unit and integration tests are green I let developers free to release the token. This does not mean that the other 10% (e.g. the interaction with the real infrastructure) should not be tested, but this can be delegated to system tests which run nightly and don't require the development token. Because unit and integration tests need to run fast, interaction with external infrastructure should be mocked whenever possible. Here follows an integration test for the Hello World handler: package uk.co.jemos.experiments.test.integration; import javax.annotation.Resource; import javax.jms.TextMessage; import junit.framework.Assert; import org.junit.Before; import org.junit.Test; import org.springframework.jms.core.JmsTemplate; import org.springframework.test.context.ContextConfiguration; import org.springframework.test.context.junit4.AbstractJUnit4SpringContextTests; import uk.co.jemos.experiments.HelloWorldHandler; import uk.co.jemos.experiments.HelloWorldMessageCreator; import com.mockrunner.jms.DestinationManager; import com.mockrunner.mock.jms.MockQueue; /** * @author mtedone * */ @ContextConfiguration(locations = { "classpath:jemosJmsTest-appContextImpl.xml" }) public class HelloWorldHandlerIntegrationTest extends AbstractJUnit4SpringContextTests { @Resource private JmsTemplate jmsTemplate; @Resource private DestinationManager mockDestinationManager; @Resource private HelloWorldHandler helloWorldHandler; @Before public void init() { Assert.assertNotNull(jmsTemplate); Assert.assertNotNull(mockDestinationManager); Assert.assertNotNull(helloWorldHandler); } @Test public void helloWorld() throws Exception { MockQueue mockQueue = mockDestinationManager.createQueue("jemos.tests"); jmsTemplate.send(mockQueue, new HelloWorldMessageCreator()); TextMessage message = (TextMessage) jmsTemplate.receive(mockQueue); Assert.assertNotNull("The text message cannot be null!", message.getText()); helloWorldHandler.handleHelloWorld(message.getText()); } } And here follows the output: 2011-07-31 17:17:26 XmlBeanDefinitionReader [INFO] Loading XML bean definitions from class path resource [jemosJmsTest-appContextImpl.xml] 2011-07-31 17:17:26 XmlBeanDefinitionReader [INFO] Loading XML bean definitions from class path resource [jemosJms-appContext.xml] 2011-07-31 17:17:26 GenericApplicationContext [INFO] Refreshing org.springframework.context.support.GenericApplicationContext@f01a1e: startup date [Sun Jul 31 17:17:26 BST 2011]; root of context hierarchy 2011-07-31 17:17:27 DefaultListableBeanFactory [INFO] Pre-instantiating singletons in org.springframework.beans.factory.support. DefaultListableBeanFactory@39478a43: defining beans [helloWorldConsumer,jmsTemplate,org.springframework.jms.listener.DefaultMessageListener Container#0,destinationManager,configurationManager,jmsConnectionFactory,org.springframework.context.annotation.internalConfigurationAnnotation Processor,org.springframework.context.annotation.internalAutowiredAnnotationProcessor,org.springframework.context.annotation.internalRequired AnnotationProcessor,org.springframework.context.annotation.internalCommonAnnotationProcessor]; root of factory hierarchy 2011-07-31 17:17:27 DefaultLifecycleProcessor [INFO] Starting beans in phase 2147483647 2011-07-31 17:17:27 HelloWorldHandler [INFO] Received message: Hello World 2011-07-31 17:17:27 GenericApplicationContext [INFO] Closing org.springframework.context.support.GenericApplicationContext@f01a1e: startup date [Sun Jul 31 17:17:26 BST 2011]; root of context hierarchy 2011-07-31 17:17:27 DefaultLifecycleProcessor [INFO] Stopping beans in phase 2147483647 2011-07-31 17:17:32 DefaultMessageListenerContainer [WARN] Setup of JMS message listener invoker failed for destination 'jemos.tests' - trying to recover. Cause: Queue with name jemos.tests not found 2011-07-31 17:17:32 DefaultListableBeanFactory [INFO] Destroying singletons in org.springframework.beans.factory.support. DefaultListableBeanFactory@39478a43: defining beans [helloWorldConsumer,jmsTemplate,org.springframework.jms.listener.DefaultMessageListener Container#0,destinationManager,configurationManager,jmsConnectionFactory,org.springframework.context.annotation.internalConfigurationAnnotationProcessor ,org.springframework.context.annotation.internalAutowiredAnnotationProcessor,org.springframework.context.annotation.internalRequiredAnnotationProcessor,org.springframework.context. annotation.internalCommonAnnotationProcessor]; root of factory hierarchy In this test, although we simulated a message roundtrip to a JMS queue, the message never left the current JVM and it the whole execution did not depend on a JMS infrastructure being up. This gives us the power to simulate the JMS infrastructure, to test the integration of our business components without having to fear a red from time to time due to JMS infrastructure being down or inaccessible. Please note that in the output there are some warnings because the JMS listener container declared in the jemosJms-appContext.xml does not find a queue named "jemos.test" in the fake connection factory, but this is fine; it's a warning and does not impede the test from running successfully. The Maven configuration Here follows the Maven pom.xml to compile the example: 4.0.0 uk.co.jemos.experiments jmx-experiments 0.0.1-SNAPSHOT Jemos JMS experiments junit junit 4.8.2 test com.mockrunner mockrunner 0.3.1 test log4j log4j 1.2.16 compile org.slf4j slf4j-api 1.6.1 compile org.slf4j slf4j-simple 1.6.1 compile org.apache.activemq activemq-all 5.5.0 compile org.springframework spring-beans 3.0.5.RELEASE org.springframework spring-context 3.0.5.RELEASE org.springframework spring-core 3.0.5.RELEASE org.springframework spring-jms 3.0.5.RELEASE org.springframework spring-test 3.0.5.RELEASE test From http://tedone.typepad.com/blog/2011/07/mocking-spring-jms-with-mockrunner.html
August 5, 2011
by Marco Tedone
· 54,509 Views · 17 Likes
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JSR-299 CDI Decorators for Spring beans
This blog is about my new Spring-CDI modules effort. It's pupose is to make useful CDI patterns like decorators or interceptors available to a Spring application. I do believe that the explicit pattern implementation in CDI is very useful. It makes it obvious and simple to use patterns for not so experienced developers. Therefore I decided to investigate how to make those patterns and the corresponding CDI annotations available for Spring managed beans. Here is the current status of my work. If you're interested and you have some time left, take a look or try out my early version of the Spring-CDI decorator module. The set-up is straight forward. You'll find all you need below. Please notice: The intention of my blog is to share and discuss ideas. If you use any of this in your applications you're acting at your own risk. JSR-299 decorator pattern implementation Features The decorator module provides the following features: - Use JSR-299 @Decorator and @Delegate in Spring managed beans - Support chains of multiple decorators for the same target delegate bean - Allow to qualify decorators to decorate multiple implementations of the same interface with different decorators - Support scoped beans, allow scoped decorators - Integrate with Spring AOP, both dynamic JDK proxies and CGLIB proxies - Allow definition of custom decorator and delegate annotations Download Link The Spring-CDI decorator module is an usual Spring IoC-container extension delivered as JAR archive. You can download the module JAR and put that on the classpath of your Spring application. Compiled Spring-CDI decorator module JAR: download here Sources: download here API-Doc: view here Everything is hosted on a git repository on Github.com. Dependencies org.springframework spring-context ${spring.version} org.springframework org.springframework.aop ${spring.version} javax.enterprise cdi-api 1.0 cglib cglib 2.2.2 Configuration If the Spring-CDI decorator module JAR and its dependencies are on your classpath, all you need to do is: (1) register DecoratorAwareBeanFactoryPostProcessor in your application context (2) define an include-filter to include javax.decorator.Decorator as component annotation in your context:component-scan tag Use Case The following code snippets show how you can use the decorator pattern ones you have configured your Spring application as described above. For more complex scenarios see my unit test cases. Let's assume you have a business interface called: MyService package com.mycompany.springapp.springcdi; public interface MyService { String sayHello(); } This is your implementation of the service. package com.mycompany.springapp.springcdi; import org.springframework.stereotype.Component; @Component public class MyServiceImpl implements MyService { public String sayHello() { return "Hello"; } } You want to do some transaction and security stuff, but you do not want to mess up the business code with it. For security you'd write a decorator that points to the MyService business service. package com.mycompany.springapp.springcdi; import javax.decorator.Decorator; import javax.decorator.Delegate; @Decorator public class MyServiceSecurityDecorator implements MyService { @Delegate private MyService delegate; public String sayHello() { // do some security stuff return delegate.sayHello(); } } To seperate the cross-cutting-concerns you write another decorator for transaction handling that points to the MyService business service. package com.mycompany.springapp.springcdi; import javax.decorator.Decorator; import javax.decorator.Delegate; @Decorator public class MyServiceTransactionDecorator implements MyService{ @Delegate private MyService delegate; public String sayHello() { // do some transaction stuff return delegate.sayHello(); } } Then you can just use standard Spring @Autowired annotation to make that work. The injected bean will be decorated with your new security and transaction decorator. package com.mycompany.springapp.springcdi; import org.junit.Assert; import org.junit.Test; import org.junit.runner.RunWith; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.test.context.ContextConfiguration; import org.springframework.test.context.junit4.SpringJUnit4ClassRunner; @ContextConfiguration("/test-decorator-context.xml") @RunWith(SpringJUnit4ClassRunner.class) public class DecoratorTestCase { // This injected bean will be a decorated MyServiceImpl @Autowired private MyService service; @Test public void testHelloWorld() { Assert.assertTrue(service.sayHello().equals("Hello")); } } How it works The core is the DecoratorAwareBeanFactoryPostProcessor that scans the registered bean definitions for existing decorators. It gathers meta data and stores that data in the DecoratorMetaDataBean. The DecoratorAwareBeanPostProcessor uses the meta data to wire the decorators into a chain and creates a CGLIB proxy that intercepts method calls to the target delegate bean. It redirects those calls to the decorator chain. The DecoratorAutowireCandidateResolver applies autowiring rules specific to the CDI decorator pattern. It also uses meta data to do that. The two modes The DecoratorAwareBeanFactoryPostProcessor accepts two runtime modes. The 'processor' (default) mode uses DecoratorAwareBeanPostProcessor and the DecoratorChainingStrategy to wire the decorator chain. The 'resolver' mode uses DecoratorAwareAutowireCandidateResolver to implement custom wiring logic based on complex wiring rules implemented in ResolverCDIAutowiringRules. The 'resolver' mode was just another option how one can implement such complex logic. I tried two different options and both work. The 'processor' alternative however implements simpler logic. Therefore it's my prefered mode at the moment. Decorator Meta Data Model The DecoratorAwareBeanFactoryPostProcessor scans bean definitions and stores meta data about the decorators and delegates in the application context. These are the model beans in their hierarchical access order: DecoratorMetaDataBean.java: Top level entry point to the meta-data. Registered and available in the application context. QualifiedDecoratorChain.java: A chain of decorators for the same target delegate bean. DecoratorInfo.java: A decorator bean definition wrapper class. DelegateField.java: Contains the delegate field of the decorator implementation. Strategies The Spring-CDI decorator module is easy to adopt by users through the use of strategy pattern in many places. These are the strategies that allow users to change processing logic if required: DecoratorChainingStrategy.java: Wires the decorators for a specific target delegate bean. DecoratorOrderingStrategy.java: Orders the decorators for a specific target delegate bean. DecoratorResolutionStrategy.java: Scans the bean factory for available decorator beans. DelegateResolutionStrategy.java: Searches the delegate bean for a specific decorator bean. Decorator Autowiring Rules The 'processor' mode and the 'resolver' mode both use a custom AutowireCandidateResolver applied to the current bean factory. The class is called DecoratorAwareAutowireCandidateResolver and it is applied to the bean factory in the DecoratorAwareBeanFactoryPostProcessor. The custom resolver works with different rule sets. In the 'processor' mode it works with a very simple rule set called BeanPostProcessorCDIAutowiringRules. In the 'resolver' mode it uses ResolverCDIAutowiringRules which is far more complex. If these rule sets are not sufficient for your autowiring logic, it's easy to apply additional rule sets by implementing a custom SpringCDIPlugin and adding it to the DecoratorAwareAutowireCandidateResolver. Spring-CDI Plugin System The Spring-CDI decorator module contains two infrastructure interfaces that allow the modularized approach of Spring-CDI project: SpringCDIPlugin and SpringCDIInfrastructure. When I implement additional modules - like the interceptor module - users can decide which modules to use and import into their projects. It's not required to add all Spring-CDI functionality if one only needs decorators. From http://niklasschlimm.blogspot.com/2011/08/jsr-299-cdi-decorators-for-spring-beans.html
August 4, 2011
by Niklas Schlimm
· 10,986 Views
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ExtJS 4 File Upload + Spring MVC 3 Example
this tutorial will walk you through out how to use the ext js 4 file upload field in the front end and spring mvc 3 in the back end. this tutorial is also an update for the tutorial ajax file upload with extjs and spring framework , implemented with ext js 3 and spring mvc 2.5. ext js file upload form first, we will need the ext js 4 file upload form. this one is the same as showed in ext js 4 docs . ext.onready(function(){ ext.create('ext.form.panel', { title: 'file uploader', width: 400, bodypadding: 10, frame: true, renderto: 'fi-form', items: [{ xtype: 'filefield', name: 'file', fieldlabel: 'file', labelwidth: 50, msgtarget: 'side', allowblank: false, anchor: '100%', buttontext: 'select a file...' }], buttons: [{ text: 'upload', handler: function() { var form = this.up('form').getform(); if(form.isvalid()){ form.submit({ url: 'upload.action', waitmsg: 'uploading your file...', success: function(fp, o) { ext.msg.alert('success', 'your file has been uploaded.'); } }); } } }] }); }); html page then in the html page, we will have a div where we are going to render the ext js form. this page also contains the required javascript imports extjs/resources/css/ext-all.css" /> click on "browse" button (image) to select a file and click on upload button fileupload bean we will also need a fileupload bean to represent the file as a multipart file: package com.loiane.model; import org.springframework.web.multipart.commons.commonsmultipartfile; /** * represents file uploaded from extjs form * * @author loiane groner * http://loiane.com * http://loianegroner.com */ public class fileuploadbean { private commonsmultipartfile file; public commonsmultipartfile getfile() { return file; } public void setfile(commonsmultipartfile file) { this.file = file; } } file upload controller then we will need a controller. this one is implemented with spring mvc 3. package com.loiane.controller; import org.springframework.stereotype.controller; import org.springframework.validation.bindingresult; import org.springframework.validation.objecterror; import org.springframework.web.bind.annotation.requestmapping; import org.springframework.web.bind.annotation.requestmethod; import org.springframework.web.bind.annotation.responsebody; import com.loiane.model.extjsformresult; import com.loiane.model.fileuploadbean; /** * controller - spring * * @author loiane groner * http://loiane.com * http://loianegroner.com */ @controller @requestmapping(value = "/upload.action") public class fileuploadcontroller { @requestmapping(method = requestmethod.post) public @responsebody string create(fileuploadbean uploaditem, bindingresult result){ extjsformresult extjsformresult = new extjsformresult(); if (result.haserrors()){ for(objecterror error : result.getallerrors()){ system.err.println("error: " + error.getcode() + " - " + error.getdefaultmessage()); } //set extjs return - error extjsformresult.setsuccess(false); return extjsformresult.tostring(); } // some type of file processing... system.err.println("-------------------------------------------"); system.err.println("test upload: " + uploaditem.getfile().getoriginalfilename()); system.err.println("-------------------------------------------"); //set extjs return - sucsess extjsformresult.setsuccess(true); return extjsformresult.tostring(); } ext js form return some people asked me how to return something to the form to display a message to the user. we can implement a pojo with a success property. the success property is the only thing ext js needs as a return: package com.loiane.model; /** * a simple return message for ext js * * @author loiane groner * http://loiane.com * http://loianegroner.com */ public class extjsformresult { private boolean success; public boolean issuccess() { return success; } public void setsuccess(boolean success) { this.success = success; } public string tostring(){ return "{success:"+this.success+"}"; } } spring config don’t forget to add the multipart file config in the spring config file: nullpointerexception i also got some questions about nullpointerexception. make sure the fileupload field name has the same name as the commonsmultipartfile property in the fileuploadbean class: extjs : { xtype: 'filefield', name: 'file', fieldlabel: 'file', labelwidth: 50, msgtarget: 'side', allowblank: false, anchor: '100%', buttontext: 'select a file...' } java: public class fileuploadbean { private commonsmultipartfile file; } these properties always have to match! you can still use the spring mvc 2.5 code with the ext js 4 code presented in this tutorial. download you can download the source code from my github repository (you can clone the project or you can click on the download button on the upper right corner of the project page): https://github.com/loiane/extjs4-file-upload-spring you can also download the source code form the google code repository: http://code.google.com/p/extjs4-file-upload-spring/ both repositories have the same source. google code is just an alternative. happy coding! from http://loianegroner.com/2011/07/extjs-4-file-upload-spring-mvc-3-example/
July 21, 2011
by Loiane Groner
· 71,598 Views
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Testing Entity Validations with a Mock Entity - Roo in Action Corner
In Spring Roo in Action, Chapter 3, I discuss how Roo automatically executes the Bean Validators when persisting a live entity. However, when running unit tests, we don't have a live entity at all, nor do we have a Spring container - so how can we exercise the validation without actually hitting our Roo application and the database? The following post is ancillary material from the upcoming book Spring Roo in Action, by Ken Rimple and Srini Penchikala, with Gordon Dickens. You can purchase the MEAP edition of the book, and participate in the author forum, at www.manning.com/rimple. The answer is that we have to bootstrap the validation framework within the test ourselves. We can use the CourseDataOnDemand class's getNewTransientEntityName method to generate a valid, transient JPA entity. Then, we can: Mock static entity methods, such as findById, to bring back pre-fabricated class instances of your entity Initialize the validation engine, bootstrapping a JSR-303 bean validation framework engine, and perform validation on your entity Set any appropriate properties to apply to a particular test condition Initialize a test instance of the entity validator and assert the appropriate validation results are returned The concept in action... Given a Student entity with the following definition: @RooEntity @RooJavaBean @RooToString public class Student { @NotNull private String emergencyContactInfo; ... } The listing below shows a unit test method that ensures the NotNull validation fires against missing emergency contact information on the Student entity: @Test public void testStudentMissingEmergencyContactValidation() { // setup our test data StudentDataOnDemand dod = new StudentDataOnDemand(); // tell the mock to expect this call Student.findStudent(1L); // tell the mocking API to expect a return from the prior call in the form of // a new student from the test data generator, dod AnnotationDrivenStaticEntityMockingControl.expectReturn( dod.getNewTransientStudent(0)); // put our mock in playback mode AnnotationDrivenStaticEntityMockingControl.playback(); // Setup the validator API in our unit test LocalValidatorFactoryBean validator = new LocalValidatorFactoryBean(); validator.afterPropertiesSet(); // execute the call from the mock, set the emergency contact field // to an invalid value Student student = Student.findStudent(1L); student.setEmergencyContactInfo(null); // execute validation, check for violations Set> violations = validator.validate(student, Default.class); // do we have one? Assert.assertEquals(1, violations.size()); // now, check the constraint violations to check for our specific error ConstraintViolation violation = violations.iterator().next(); // contains the right message? Assert.assertEquals("{javax.validation.constraints.NotNull.message}", violation.getMessageTemplate()); // from the right field? Assert.assertEquals("emergencyContactInfo", violation.getPropertyPath().toString()); } Analysis The test starts with a declaration of a StudentOnDemand object, which we'll use to generate our test data. We'll get into the more advanced uses of the DataOnDemand Framework later in the chapter. For now, keep in mind that we can use this class to create an instance of an Entity, with randomly assigned, valid data. We then require that the test calls the Student.findStudent method, passing it a key of 1L. Next, we'll tell the entity mocking framework that the call should return a new transient Student instance. At this point, we've defined our static mocking behavior, so we'll put the mocking framework into playback mode. Next, we issue the actual Student.findById(1L) call, this time storing the result as the member variable student. This call will trip the mock, which will return a new transient instance. We then set the emergencyContactInfo field to null, so that it becomes invalid, as it is annotated with a @NotNull annotation. Now we are ready to set up our bean validation framework. We create a LocalValidatorFactoryBean instance, which will boot the Bean Validation Framework in the afterPropertiesSet() method, which is defined for any Spring Bean implementing InitializingBean. We must call this method ourselves, because Spring is not involved in our unit test. Now we're ready to run our validation and assert the proper behavior has occurred. We call our validator's validate method, passing it the student instance and the standard Default validation group, which will trigger validation. We'll then check that we only have one validation failure, and that the message template for the error is the same as the one for the @NotNull validation. We also check to ensure that the field that caused the validation was our emergencyContactInfo field. In our answer callback, we can launch the Bean Validation Framework, and execute the validate method against our entity. In this way, we can exercise our bean instance any way we want, and instead of persisting the entity, can perform the validation phase and exit gracefully. Caveats... There are a few things slightly wrong here. First of all, the Data on Demand classes actually use Spring to inject relationships to each other, which I've logged a bug against as ROO-2497. You can override the setup of the data on demand class and manually create the DoD of the referring one, which is fine. They have slated to work on this bug for Roo 1.2, so it should be fixed sometime in the next few months. Also, realize that this is NOT easy to do, compared to writing an integration test. However, this test runs markedly faster. If you have some sophisticated logic that you've attached to a @AssertTrue annotation, this is the way to test it in isolation. From http://www.rimple.com/tech/2011/7/17/testing-entity-validations-with-a-mock-entity-roo-in-action.html
July 20, 2011
by Ken Rimple
· 14,634 Views
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CDI 1.0 vs. Spring 3.1 Feature Comparsion
This blog article provides a comparison matrix between Spring IoC 3.1 and CDI implementation JBoss Weld 1.1.
July 6, 2011
by Niklas Schlimm
· 32,364 Views
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Validating JSF EL Expressions in JSF Pages with static-jsfexpression-validator
update: version 0.9.3 with new group/artifactid released on 7/25 including native support for jsf 1.2 (reflected below in the pom snippet). update: version 0.9.4 with function tolerance for jsf 1.2 released on 7/28 (it doesn't check functions are ok but checks their parameters etc.) static-jsfexpression-validator is utility for verifying that el expressions in jsf pages, such as #{bean.property}, are correct, that means that they don’t reference undefined managed beans and nonexistent getters or action methods. the purpose is to make jsf-based web applications safer to refactor as the change of a method name will lead to the detection of an invalid expression without need for extensive manual ui tests. it can be run statically, for example from a test. currently it builds on the jsf implementation v. 1.1 but can be in few hours (or days) modified to support newer version of jsf. how does it work? defined managed beans (name + type) are extracted from faces-config files and/or spring application context files jsp pages are parsed by jasper , tomcat’s jsp parser for each jsf tag: if it defines local variables, they are recorded (such as var in h:datatable ) all jsf el expressions in the tag’s attributes are validated by a real el resolver using two magic classes, namely custom variableresolver and propertyresolver, that – instead of looking up managed bean instances and invoking their getters – fabricate “fake values” of the expected types so that the “resolution” of an expression can proceed. the effect is that the existence of the referenced properties and action methods is verified against the target classes. sometimes it is not possible to determine the type of a jsf variable or property (e.g. when it’s a collection element), in which case it is necessary to declare it beforehand. you can also manually declare extra variables (managed beans) and override the detected type of properties. minimal setup add this dependency to your maven/ivy/…: net.jakubholy.jeeutils.jsfelcheck static-jsfexpression-validator-jsf11 0.9.3 test alternatively, you can fetch static-jsfexpression-validator-jsf11-0.9.3.jar (or -jsf12- or -jsf20-) and its dependencies yourself, see the appendix a. run it: java -cp static-jsfexpression-validator-jsf11-0.9.3.jar:... net.jakubholy.jeeutils.jsfelcheck.jsfstaticanalyzer --jsproot /path/to/jsp/files/dir alternatively, run it from a java class to be able to configure everything: public class jsfelvaliditytest { @test public void should_have_only_defined_beans_and_valid_properties_in_jsf_el_expressions() throws exception { jsfstaticanalyzer jsfstaticanalyzer = new jsfstaticanalyzer(); jsfstaticanalyzer.setfacesconfigfiles(collections.singleton(new file("web/web-inf/faces-config.xml"))); map> none = collections.emptymap(); collectedvalidationresults results = jsfstaticanalyzer.validateelexpressions("web", none, none, none); assertequals("there shall be no invalid jsf el expressions; check system.err/.out for details. failure " + results.failures() , 0, results.failures().size()); } } run it and check the standard error and output for results, which should ideally look something like this: info: >>> started for '/somefile.jsp ############################################# ... >>> local variables that you must declare type for [0] ######################################### >>> failed jsf el expressions [0] ######################################### (set logging to fine for class net.jakubholy.jeeutils.jsfelcheck.validator.validatingjsfelresolver to se failure details and stacktraces) >>> total excluded expresions: 0 by filters: [] >>> total expressions checked: 5872 (failed: 0, ignored expressions: 0) in 0min 25s standard usage normally you will need to configure the validator because you will have cases where property type etc. cannot be derived automatically. declaring local variable types, extra variables, property type overrides local variables – h:datatable etc. if your jsp includes a jsf tag that declares a new local variable (typically h:datatable), like vegetable in the example below: ... where favouritevegetable is a collection of vegetables then you must tell the validator what type of objects the collection contains: map> localvariabletypes = new hashtable>(); localvariabletypes.put("vegetarion.favouritevegetable", vegetable.class); jsfstaticanalyzer.validateelexpressions("web", localvariabletypes, extravariables, propertytypeoverrides); the failure to do so would be indicated by a number of failed expression validations and a suggestion to register type for this variable: >>> local variables that you must declare type for [6] ######################################### declare component type of 'vegetarion.favouritevegetable' assigned to the variable vegetable (file /favourites.jsp, tag line 109) >>> failed jsf el expressions [38] ######################################### (set logging to fine for class net.jakubholy.jeeutils.jsfelcheck.validator.validatingjsfelresolver to se failure details and stacktraces) failedvalidationresult [failure=invalidexpressionexception [invalid el expression '#{vegetable.name}': propertynotfoundexception - property 'name' not found on class net.jakubholy.jeeutils.jsfelcheck.expressionfinder.impl.jasper.variables.contextvariableregistry$error_youmustdelcaretypeforthisvariable$$enhancerbymockitowithcglib$$3c8d0e8f]; expression=#{vegetable.name}, file=/favourites.jsp, tagline=118] defining variables not in faces-config variable: the first element of an el expression. if you happen to be using a variable that is not a managed bean defined in faces-config (or spring config file), for example because you create it manually, you need to declare it and its type: map> extravariables = new hashtable>(); localvariabletypes.put("mymessages", map.class); jsfstaticanalyzer.validateelexpressions("web", localvariabletypes, extravariables, propertytypeoverrides); expressions like #{mymessages['whatever.key']} would be now ok. overriding the detected type of properties, especially for collection elements property: any but the first segment of an el expression (#{variable.propert1.property2['property3]….}). sometimes you need to explicitely tell the validator the type of a property. this is necessary if the poperty is an object taken from a collection, where the type is unknown at the runtime, but it may be useful also at other times. if you had: then you’d need to declare the type like this: map> propertytypeoverrides = new hashtable>(); propertytypeoverrides.put("vegetablemap.*", vegetable.class); //or just for 1 key: propertytypeoverrides.put("vegetablemap.carrot", vegetable.class); jsfstaticanalyzer.validateelexpressions("web", localvariabletypes, extravariables, propertytypeoverrides); using the .* syntax you indicate that all elements contained in the collection/map are of the given type. you can also override the type of a single property, whether it is contained in a collection or not, as shown on the third line. excluding/including selected expressions for validation you may supply the validator with filters that determine which expressions should be checked or ignored. this may be useful mainly if you it is not possible to check them, for example because a variable iterates over a collection with incompatible objects. the ignored expressions are added to a separate report and the number of ignored expressions together with the filters responsible for them is printed. example: ignore all expressions for the variable evilcollection: jsfstaticanalyzer.addelexpressionfilter(new elexpressionfilter(){ @override public boolean accept(parsedelexpression expression) { if (expression.size() == 1 && expression.iterator().next().equals("evilcollection")) { return false; } return true; } @override public string tostring() { return "excludeevilcollectionwithincompatibleobjects"; } }); (i admit that the interface should be simplified.) other configuration in jsfstaticanalyzer: setfacesconfigfiles(collection): faces-config files where to look for defined managed beans; null/empty not to read any setspringconfigfiles(collection) spring applicationcontext files where to look for defined managed beans; null/empty not to read any setsuppressoutput(boolean) – do not print to system.err/.out – used if you want to process the produced collectedvalidationresults on your own setjspstoincludecommaseparated(string) – normally all jsps under the jspdir are processed, you can force processing only the ones you want by supplying thier names here (jspc setting) setprintcorrectexpressions(boolean) – set to true to print all the correctly validated jsf el expressions understanding the results jsfstaticanalyzer.validateelexpressions prints the results into the standard output and error and also returnes them in a collectedvalidationresults with the following content: resultsiterable failures() – expressions whose validation wasn’t successful resultsiterable goodresults() – expressions validated successfully resultsiterable excluded() – expressions ignored due to a filter collection – local variables (h:datatable’s var) for which you need to declare their type the resultsiterable have size() and the individual *result classes contain enough information to describe the problem (the expression, exception, location, …). now we will look how the results appear in the output. unknown managed bean (variable) failedvalidationresult [failure=invalidexpressionexception [invalid el expression '#{messages['message.res.ok']}': variablenotfoundexception - no variable 'messages' among the predefined ones.]; expression=#{messages['message.res.ok']}, file=/sample_failures.jsp, tagline=20] solution : fix it or add the variable to the extravariables map parameter. invalid property (no corresponding getter found on the variable/previous property) a) invalid property on a correct target object class this kind of failures is the raison d’être of this tool. failedvalidationresult [failure=invalidexpressionexception [invalid el expression '#{segment.departuredatexxx}': propertynotfoundexception - property 'departuredatexxx' not found on class example.segment$$enhancerbymockitowithcglib$$5eeba04]; expression=#{segment.departuredatexxx}, file=/sample_failures.jsp, tagline=92] solution : fix it, i.e. correct the expression to reference an existing property of the class. if the validator is using different class then it should then you might need to define a propertytypeoverride. b) invalid property on an unknown target object class – mockobjectofunknowntype failedvalidationresult [failure=invalidexpressionexception [invalid el expression '#{carlist[1].price}': propertynotfoundexception - property 'price' not found on class net.jakubholy.jeeutils.jsfelcheck.validator.mockobjectofunknowntype$$enhancerbymockitowithcglib$$9fa876d1]; expression=#{carlist[1].price}, file=/cars.jsp, tagline=46] solution : carlist is clearly a list whose element type cannot be determined and you must therefore declare it via the propertytypeoverrides map property. local variable without defined type failedvalidationresult [failure=invalidexpressionexception [invalid el expression ' #{traveler.name}': propertynotfoundexception - property 'name' not found on class net.jakubholy.jeeutils.jsfelcheck.expressionfinder.impl.jasper.variables.contextvariableregistry$error_youmustdelcaretypeforthisvariable$$enhancerbymockitowithcglib$$b8a846b2]; expression= #{traveler.name}, file=/worldtravels.jsp, tagline=118] solution : declare the type via the localvariabletypes map parameter. more documentation check the javadoc, especially in jsfstaticanalyzer . limitations currently only local variables defined by h:datatable ‘s var are recognized. to add support for others you’d need create and register a class similar to datatablevariableresolver handling of included files isn’t perfect, the don’t know about local variables defined in the including file. but we have all info needed to implement this. static includes are handled by the jasper parser (though it likely parses the included files also as top-level files, if they are on its search path). future it depends on my project’s needs, your feedback and your contributions . where to get it from the project’s github or from the project’s maven central repository, snapshots also may appear in the sonatype snapshots repo . appendices a. dependencies of v.0.9.0 (also mostly similar for later versions): (note: spring is not really needed if you haven’t spring-managed jsf beans.) aopalliance:aopalliance:jar:1.0:compile commons-beanutils:commons-beanutils:jar:1.6:compile commons-collections:commons-collections:jar:2.1:compile commons-digester:commons-digester:jar:1.5:compile commons-io:commons-io:jar:1.4:compile commons-logging:commons-logging:jar:1.0:compile javax.faces:jsf-api:jar:1.1_02:compile javax.faces:jsf-impl:jar:1.1_02:compile org.apache.tomcat:annotations-api:jar:6.0.29:compile org.apache.tomcat:catalina:jar:6.0.29:compile org.apache.tomcat:el-api:jar:6.0.29:compile org.apache.tomcat:jasper:jar:6.0.29:compile org.apache.tomcat:jasper-el:jar:6.0.29:compile org.apache.tomcat:jasper-jdt:jar:6.0.29:compile org.apache.tomcat:jsp-api:jar:6.0.29:compile org.apache.tomcat:juli:jar:6.0.29:compile org.apache.tomcat:servlet-api:jar:6.0.29:compile org.mockito:mockito-all:jar:1.8.5:compile org.springframework:spring-beans:jar:2.5.6:compile org.springframework:spring-context:jar:2.5.6:compile org.springframework:spring-core:jar:2.5.6:compile xml-apis:xml-apis:jar:1.0.b2:compile from http://theholyjava.wordpress.com/2011/06/22/validating-jsf-el-expressions-in-jsf-pages-with-static-jsfexpression-validator/
June 23, 2011
by Jakub Holý
· 12,842 Views
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Reading GPS Latitude and Longitude from Image and Video Files
The State of GPS Data from Mobile Devices Most of the mobile devices today support GPS geo tagging. In fact most of them come bundled with navigation software that uses GPS and therefore all the pictures and (maybe) videos can be geo tagged. But as expected different vendors come with different support and formats. iPhone OS comes with geotagging both on video and image files, while the latest Android and Symbian (the Nokia main OS for smartphones) can geo tag only images. Even more – until recently Symbian didn’t support any geotagging before the installation of an additional software – such as Location Tagger . So generally the things are quite simple: iPhone OS geotags both video and image files; Android geotags only images; Symbian geotags only images – and on some devices this is possible only after installing a software; This is in breve the state of mobile device geotagging! Why Use GPS Data? Perhaps one of the main reasons why not support geotagging especially on video files can be the usage of those geo tags. First of all what a geotag means? You may know that even Android doesn’t “geotag” videos this is not quite true. Because after using you gallery you can see where those videos are shot. This is fantastic, but actually the real information about where the video has been taken is not into the video file, but it’s in an additional log file that keeps it. Thus actually the video files doesn’t know the geo coordinates. Here comes the problem with video format, because you cannot be sure that every format supports tags that can keep geo coordinates. Actually quicktime’s MOV can store them, while Symbian’s 3GP cannot. In fact Symbian cannot store any geo information about video files! So now we’ve at least three different formats for each of those three vendors. quicktime for iPhone mpeg-4 with Android 3gp with Symbian For now I can only say that iPhone can keep the geotag into his video files. But let me return to the question – why we need this geo tags? Until the video file is on the mobile device – there’s no problem. But once you try to download it – whether on Flickr, YouTube, Picasa, etc. you’ll lose any geo information if it’s not into the file tags. And of course if the above sites can’t read it! The general reason to store this data into the file is to move it along with the file. Once you move this file from your mobile device to a web platform you’ll see where the file has been created. EXIF, Exiftool and PHP’s exif_read_data There are several tools to read geotags. For images, and here we talk only for JPEGs, this is the EXIF information. You can download the exif command line program and try to reed data with it:
June 22, 2011
by Stoimen Popov
· 15,697 Views
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Eclipse Indigo Release Train Now Available: 46 Million Lines of Code Across 62 Projects
For the eight successive year, the latest iteration of the Eclipse release train, Indigo, is now available for developers everywhere. And once again, the Eclipse community have shown that it is possible to coordinate software to be released on time. The scale of Indigo is huge - it contains 62 projects, 46 million lines of code contributed by 408 committers. “We are very proud to celebrate another on-time annual release train from the Eclipse community,” states Mike Milinkovich, executive director of the Eclipse Foundation. “This release has a long list of new features, especially for Java developers. Features such as Git support, Maven and Hudson integration, a great GUI builder in WindowBuilder, and our new Jubula testing tool will, I am sure, motivate developers to try Indigo.” Yesterday I listed some of the excellent tooling additions that are available in Indigo. Once again, the latest Eclipse release provides something for everyone. Download it now and find out for yourself. For Java Developers EGit 1.0 provides first-class support support for Java developers using Git for source code management WindowBuilder, a world-class Eclipse-based GUI builder, is now available as an Eclipse open source project Automated functional GUI testing for Java and HTML applications is included via Jubula m2eclipse brings tight integration with Maven and the Eclipse workspace, enabling developers to work with Maven projects directly from Eclipse Mylyn 3.6 supports Hudson build monitoring directly from the Eclipse workspace Eclipse Marketplace Client now supports drag and drop installation of Eclipse-based solutions directly into Eclipse making it significantly easier to install new solutions. New Innovation in Eclipse Modeling Xtext 2.0 has added significant new features for domain-specific languages (DSLs): 1) the ability to create DSLs with embedded Java-like expressions; 2) Xtend, a new template language that allows tightly integrated code generation into the Eclipse tooling environment; and 3) a new refactoring framework for DSLs. Acceleo 3.1 integrates code generation into Ant and Maven build chains, and includes improved generator editing facilities. CDO Model Repository 4.0 integrates with several NoSQL databases such as Objectivity/DB, MongoDB, and DB4O. Cache optimizations and many other enhancements allow for models of several gigabytes. EMF 2.7 makes it easy to replicate changes across distributed systems in an optimal way: a client can send back to the server a minimal description of what's been changed rather than sending back the whole, arbitrarily-large, new instance. Eclipse Extended Editing Framework (EEF) 1.0 generates advanced and good-looking EMF editors in one click. EMF Compare 1.2 brings dedicated UML support and is more fully integrated with the SCM. EMF Facet, a new project, allows extension of an existing Ecore metamodel without modification. EclipseRT Advancements EclipseLink 2.3 supports multi-tenant JPA Entities, making it possible to incorporate JPA persistency into SaaS-style applications. Equinox 3.7 now implements the OSGi 4.3 specification, including use of generic signatures, generic capabilities, and requirements for bundles. Eclipse Communication Framework (ECF) implements OSGi 4.2 Remote Service and Remote Service Admin standards.
June 22, 2011
by James Sugrue
· 13,864 Views
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Eclipse Indigo Highlights: Five Reasons to Check Out ECF
The Eclipse Communication Framework has been a steady participant in the Eclipse release trains, continuously adding to its impressive list of features. This year’s inclusion of ECF 3.5 in the Indigo release train is no exception. In this article, I'll take a look at five key features of the release: OSGi 4.2 Remote Services/RSA Standards Support ECF Indigo implements two recently-completed OSGi standards: OSGi remote services and OSGi Remote Service Admin (RSA). The OSGi Remote Services spec provides a simple, standardized way to expose OSGi services for network discovery and remote access. ECF Indigo also implements the Enterprise specification for remote services management known as Remote Services Admin (RSA). The RSA specification defines a management agent to allow for enterprise-application control of the discovery and distribution of remote services via a standardized API. Also included in the RSA specification is a standardized format for communicating meta-data about remote services, advanced handling of security, discovery and distribution event notification, and advanced handling of remote service versioning. ECF has run its implementation of RS/RSA through the OSGi Test Compatability Kit to ensure that it is compliant with the OSGi specification. Extensibility through Provider Architecture ECF has a provider architecture, that allows major components of the OSGi remote services/RSA implementation to be extended, enhanced, or replaced as needed. For example, for interoperability with existing services and applications, it’s frequently desirable to be able to substitute the wire protocol/transport to one that is already being used. With the ECF provider architecture, it’s possible to substitute the underlying protocol...and use other frameworks based upon REST, SOAP, JMS, XML-RPC, XMPP, and/or others. If you wish, you can even define and use a proprietary provider and use it to expose your remote services. Or you can use one provider for remote services development and testing, and another for deployment. Asynchronous Proxies ECF has support for remote service access via asynchronous proxies. This allows client consumers of remote services to avoid the reliability problems that are frequent when synchronous proxies are used over a relatively slow and unreliable network. The choice of whether to use synchronous or asynchronous proxies is up to the programmer, and can be made at runtime. Here is more information about this feature of ECF’s remote services implementation. XML-RPC provider ECF Indigo has an XML-RPC-based provider, which implements the remote services API. Remote Service invocation through a proxy and/or async proxy is supported too. In addition to being usable for interoperability with existing XML-RPC-based services, it can also be used as an example of how to easily use an existing framework to create a remote service provider. Google wave provider Although discontinued by Google, Wave is an open protocol with an open source implementation of the Wave server available. This means you can still build applications that take advantage of the real time shared editing functionality from within your Eclipse environment using this provider. Already, ECF provides real time shared editing using cola. This is limited to two users on a a document at a time - using the Wave provider, you could have multiple authors collaborating on the same document. Mustafa and Sebastian created a multiplayer Android phone game for EclipseCon this year, using the Wave protocol for concurrency control. Take a look at the results in the video below. ECF on Other OSGi Frameworks You're not limited to running ECF on Equinox anymore: ECF4Felix allows ECF to run on the Felix OSGi framework. So far testing has only been done on Felix. But if you are willing to help with testing ECF Remote Services/RSA on another framework, please send an email to the ecf-dev mailing list. ECF Documentation Project ECF recently started the ECF Documentation Project. This project is an approach to improve the amount and quality of the ECF documentation with the help of the committer, contributor, and consumer communities. It also aims to use of ECF for new and existing consumers. Currently this includes a Users Guide and an Integrators Guide. As a user of ECF, the documentation effort is a huge help in getting ECF to work right within your application. Great credit is due to the ECF team for this, and all other features listed here. ECF wiki: http://wiki.eclipse.org/ECF Remote services section of ECF wiki: http://wiki.eclipse.org/ECF#OSGi_Remote_Services OSGi compendium specification (Chap 13 is Remote Services): http://www.osgi.org/download/r4v42/r4.cmpn.pdf OSGi Enterprise Specification (Chap 122 is RSA): http://www.osgi.org/download/r4v42/r4.enterprise.pdf RSA wiki pages: http://wiki.eclipse.org/Remote_Services_Admin Getting Started with Remote Services: http://wiki.eclipse.org/EIG:Getting_Started_with_OSGi_Remote_Services Asynchronous Proxies (examples): http://wiki.eclipse.org/Asynchronous_Proxies_for_Remote_Services ECF Builder: https://build.ecf-project.org/jenkins/ ECF Github site (other providers, examples, Wave, and Newsreader) : https://github.com/ECF ECF4Felix: https://github.com/ECF/ECF4Felix
June 22, 2011
by James Sugrue
· 15,545 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
· 153,289 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
· 83,753 Views · 10 Likes
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