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Creating a REST WCF Service From an Existing XSD Schema
A reader of my blog sent me an email asking the following question: “I have an XSD that I am required to use to export my company's data. How can I use that XSD and return data to them in a web method? I should be able to return a data set with the information formatted the way the XSD defines but I have no idea how to do that. Any ideas would save me a ton of time and grief!” Turns out this is a really good question, and I think one a lot of developers struggle with primarily because the majority of developers are scared of XSD schemas. Hopefully I can change that. An XML Schema is really simple and it is your friend. What is an XSD or Xml Schema Definition? An XML Schema describes the structure of an XML document. That’s it, see, it isn’t that hard after all! As a developer think of an XSD the same way you would when creating business rules to validate objects before storing them into a database. Some items in objects cannot be null, some can. Some need to have their data formatted (email address for example) and others need to not exceed certain lengths, etc. When dealing with an XML document, we need to apply the same type of rules and this is where the XSD comes in. Once we have an XSD to describe an XML document we can guarantee any XML data we receive conforms to these rules. Ok, enough intro, let’s get coding. The Schema In the case of the reader’s question, an XSD schema already existed. To save time, I’ve taken then general idea of the schema I was sent and slimmed it down for simplicity sakes. The schema represents an XML document that will contain job listings. Here is a view of the schema from the schema explorer in Visual Studio as well as the schema itself (again slimmed down). Once we have a schema defined like this we can generate code to be used for a service. We have a tool at our disposal that is available within the Visual Studio Command Prompt called XSD.exe. This executable does a lot of things but one thing it can do is generate code from an XML Schema Definition. When generating from the XSD file I was sent there was a problem with it. Here is the walk through of that story so you can follow along. When I first tried this on the reader’s original XSD I got an error: Warning: cannot generate classes because no top-level elements with complex type were found. What does this mean? Well, look at the screen shot of the XML Schema Explorer above. Do you see the <> green icons? Well those represent an XML Element. An element is a fancy name for an XML tag like: Bramar Let me roll this up and take another screen shot so you can start to see the problem (i have to hit my magic number of 12 screen shots anyway :) ). See the problem? There isn’t an element in this schema (no green <> thingy). What this means is we have a schema which just lists complex types of elements and enumerations. There isn’t any “xml” in this schema. The fix is simple though. Add an element to the schema. Now we have a green thingy icon which means this XSD contains at least one element. Basically think of the JobListing element as the root element. Now that we have an element we can generate a C# class file from this XSD: The code generated is about 350 lines so I’m not going to include it in the article. There are some nice things happening for us when the C# classes are generated using xsd.exe. For starters the enumerations in the XSD are turned into C# enumerations. The classes are marked serializable and they have the appropriate XML attributes on the properties to serialize these objects into XML. This is a good thing since it means we didn’t have to create it. Code generation is your friend. Now that we have C# objects we can serialize these to XML easily. The Service The first thing we need to do is create the WCF service. For this example I chose to create a WCF Service Application in Visual Studio 2008. After the project is initialized, the first thing we need to do is define the contract for the service. In other words, what is coming in and going back out. Since we have generated our code using the XSD utility we are going to use the XmlSerializer with our service. The reason is this will make sure our XML formatted the way we intended. While we are at it, I’ve made the service a RESTful type of service. Here is the contract. [ServiceContract] public interface IJobService { [OperationContract] [XmlSerializerFormat] [System.ServiceModel.Web.WebGet(UriTemplate="/jobs/{type}", RequestFormat=WebMessageFormat.Xml)] List GetJobListings(string type); } The contract above has one method GetJobListings(). This method has two additional attributes. One, the attribute to mark the method to serialize using the XmlSerializer and two the attribute to turn the method into a RESTful service. In other words our service can be accessed like this: http://localhost/service.svc/jobs/full-time Now that the contract is setup, we just need a class to implement this contract on. Here’s a quick and dirty implementation. public class Service1 : IJobService { #region IJobService Members public List GetJobListings(string type) { return GetJobs(); } private static List GetJobs() { var jobs = new List(); jobs.Add(new Job { JobType= JobType.parttime, Category = JobCategory.Banking, Benefits= "You are on your own.", Description="I did something" }); jobs.Add(new Job { JobType= JobType.fulltime, Category = JobCategory.Banking, Benefits= "You get something." }); jobs.Add(new Job { JobType= JobType.contractor, Category = JobCategory.Banking, Benefits= "Times are tuff, deal with it." }); jobs.Add(new Job { JobType= JobType.fulltime, Category = JobCategory.Banking, Benefits= "How does $700 billion sound?" }); return jobs; } #endregion } Now all we have left is to get this working is to configure WCF to support our RESTful implementation. In order to do this we are going to use the webHttpBinding. Here is the WCF configuration to implement our RESTful service. That’s it, we are all setup. Now all we have to do is launch the service and browse to the URL we outlined earlier to get our results. This may seem like a lot of steps but it really isn’t. I encourage you to take this example and play with it. You can download the solution below. Download Solution WcfService.zip
December 18, 2008
by Keith Elder
· 33,459 Views
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The Three Pillars of Continuous Integration
Continuous Integration commonly known as CI is a process that consists of continuously compiling, testing, inspecting, and deploying source code. In any typical CI environment, this means running a new build every time code changes within a version control repository. Martin Fowler describes CI as: A software development practice where members of a team integrate their work frequently, usually each person integrates at least daily - leading to multiple integrations per day. Each integration is verified by an automated build to detect integration errors as quickly as possible. Many teams find that this approach leads to significantly reduced integration problems and allows a team to develop cohesive software more rapidly. While CI is actually a process, the term Continuous Integration often is associated with three important tools in particular. As shown in the image the three pillars of CI are: 1. A version control repository like Subversion, or CVS. 2. A CI Server such as Hudson, or Cruise Control 3. An automated build process like Ant or Nant So, let’s look at each of these in detail: Version Control Repository: Version control repositories also known as SCM (source code management) play a crucial role in any software development environment. They also play a very important role for a successful CI process. The SCM is a central place for the team to store every needed artifact for the project. It is mandatory for the teams to put everything needed for a successful build into this repository. This includes the build scripts, property files, database scripts, all the libraries required to build the software and so on. The CI Server: For CI to function properly, we also need to have an automated process that monitors a version control repository and runs a build when any changes are detected. There are several CI servers available, both open source and commercial. Most of them are similar in their basic configuration and monitor a particular version control repository and run builds when any changes are detected. Some of the most commonly used open source CI servers are; Cruise Control, Continuum, and Hudson. Hudson is particularly interesting because of its ease of configuration and compelling plug-ins, which makes integration with test and static analysis tools much easier. Automated Build: The process of CI is about building software often, which is accomplished through the use of a build. A sturdy build strategy is by far the most important aspect of a successful CI process. In the absence of a solid build that does more than compile your code, CI withers. With automated builds, teams can reliably perform (in an automated fashion) otherwise manual tasks like compilation, testing, and even more interesting things like software inspection and deployment. Now that we have seen the important tools in our CI process, let’s see how a typical CI scenario looks like for a developer: CI server is configured to poll the version control repository continuously for changes. Developer commits code to the repository. CI server detects this change, and retrieves the latest code from the repository. This causes the CI server to invoke the build script with the given targets and options. If configured, CI Server will send out an e-mail to the specified recipients when a certain important event occurs. The CI server continues to poll for changes. Why is CI Important? This is one of the most frequently asked questions, and here are a few points to note about this powerful technique: Building software often greatly increases the likelihood that you will spot defects early, when they still are relatively manageable. Extends defect visibility. CI ensures that you have production ready software at every change. CI also ensures that you have reduced the risk of integration issues by building software at every change. CI server can also be configured to run continuous inspection which can assist the development team in finding potential bugs, bad programming practice, automatically check coding standards, and also provide valuable feedback on the quality of code being written. Over the past several months, I have assisted several companies in implementing CI. There was a little bit of resistance from the developers in the early stages when we implemented continuous feedback. But, never heard a single negative comment about this approach. If you already have a version control repository and automated builds, you are very close to the CI process. Download one of the open source CI servers, configure and setup a simple project. It should take less than an hour if you have automated build scripts. Start adding additional features like code inspections, generating reports, metrics, documentation and so on. Most important, send continuous feedback to your team. Give this process a try, you sure will be surprised to see how effective it is. And, as always share your thoughts, concerns or questions.
December 15, 2008
by Meera Subbarao
· 24,063 Views
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Check Directory/dir/file Size In Linux
#check partition sizes df -h #check directory size du -s -h /var/log/ #check every directory and file sizes under a dir. du -s -h /var/log/* #check individual size size du -s -h /var/log/lastlog
December 9, 2008
by Snippets Manager
· 17,114 Views
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Computing 95 Percentile In MySQL
When doing performance analyzes you often would want to see 95 percentile, 99 percentile and similar values. The "average" is the evil of performance optimization and often as helpful as "average patient temperature in the hospital". Lets set you have 10000 page views or queries and have average response time of 1 second. What does it mean ? Really nothing - may be one page view was 10000 seconds and the rest was in low milliseconds or may be you had every single page view taking 1 second, which are completely different. You also do not really care about average performance - the goal of good user experience is majority of users to have good experience and average is not a good fit here. Defining your response time goal in 95 or 99 percentile is much better. Say you say 99 percentile response time should be one second, this means only 1 percent of queries/page views are allowed to take more than that. For larger systems defining (increasing) response times for 99.9 or even 99.99 percentile numbers often make sense. It also often makes sense to define response time goals separately for different transactions - the AJAX widget response time requirements may be very different from the slow search page. So you have defined your response time in terms of 95/99 percentile and get your logs in the table, so how to get the data if MySQL only provides you the avg: mysql> SELECT count(*),avg(wtime) FROM performance_log_081128 WHERE page_type='search'; +----------+-----------------+ | count(*) | avg(wtime) +----------+-----------------+ | 106859 | 1.4469140766532 +----------+-----------------+ 1 row IN SET (2.08 sec) The average response time here is for example; the real data what we need is number of rows which matches for given query type. Dividing the count by 100 we get our 1% of values and dividing by 20 5% of values, now we can get the response time we concerned about simply by running following order-by queries: mysql> SELECT wtime FROM performance_log_081128 WHERE page_type='search' ORDER BY wtime DESC LIMIT 1068,1; +---------+ | wtime +---------+ | 10.1007 +---------+ 1 row IN SET (2.06 sec) mysql> SELECT wtime FROM performance_log_081128 WHERE page_type='search' ORDER BY wtime DESC LIMIT 5342,1; +---------+ | wtime +---------+ | 5.09297 +---------+ 1 row IN SET (2.06 sec) So for this system the 95 percentile is just over 5 sec (some 3 times more than the average) and 99% percentile is just a bit over 10 seconds (6 times more than average). The both numbers are horrible and system surely needs to be fixed. These numbers are to illustrate - the percentile numbers can be quite different from average numbers (it is not rare to see 99 percentile to be order of magnitude different from the average) and this is what you really need to focus on. Looking at the numbers from the business standpoint try to understand what these really are. In some cases I see rather bad percentile on the backend which are not really the problem for the business because there is a cache up front anyway. If 99% of requests are coming from the cache and you observe certain 99 percentile response time on the backend it is often 99.99 percentile response time which is a lot different - you often can afford 1/10000 requests to stall for few seconds, because things outside of your control (like packet loss at client side) would be responsible for larger amount of delays. Be careful though - the "random" delays, for example if system was busy and delayed servicing request is one thing, "systematic" delays, when response time is always bad in given conditions can be much worse problems. You do not want your best client to suffer for example, even if he is the only one.
December 3, 2008
by Peter Zaitsev
· 15,486 Views
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Eclipse Tip: Incremental Find or Find as You Type
Eclipse has many ways of doing things. Finding the way that suits you can be tricky. :-) The standard find dialog triggered by Crtl+F is, well, standard. But if you are a keyboard junkie then it kind of gets in the way. The other way of searching with in the current editor is Incremental Search. This is triggered by Crtl+J and has no GUI! Just press Ctrl+J and type the search text. Eclipse finds and highlights the next match as you type. You can use the Up or Down arrow key to jump to the next or previous match. I like this way... From http://www.vasanth.in/
November 25, 2008
by Vasanth Dharmaraj
· 20,178 Views · 1 Like
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Configuring Logging in JBoss
Learn how to properly configure logs in JBoss.
November 19, 2008
by Meera Subbarao
· 223,302 Views
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Seven Forms of Business Process Management With JBoss jBPM
This article will explain Business Process Management (BPM) in terms of 7 distinct use cases for JBoss jBPM. By giving more insight in those use cases, you'll get a better understanding of the different forms of BPM and workflow and when a BPM engine like jBPM makes sense in your project. We'll also highlight the specific jPDL process language features related to those use cases. The term BPM is highly overloaded and used for many different things resulting in a lot of confusion. These use cases give concrete descriptions for the different interpretations of the term BPM. The individual nature of these use cases is important. BPM software vendors often take a mix of different aspects and concerns into account when developing their products. That often results into BPM products that are suitable only for a specific purpose in a specific environment. This is in my opinion the reason why there are so many different BPM products which only serve a small niche market. It also explains why new products and standards in this space keep appearing, don't get enough momentum and then get pushed aside by yet another new product or standard. When evaluating a BPM products, it should be done with specific use cases in mind. What is JBoss jBPM JBoss jBPM is a flexible and powerful BPM engine. In essence, BPM systems allow for execution flows to be specified graphically. As an example, here is a process diagram for a business trip: [img_assist|nid=5583|title=|desc=|link=none|align=undefined|width=623|height=487] A key capability of BPM systems is that processes steps can be wait states. For example in the business trip process above, nodes 'manager evaluation' and 'ticket purchase' are human tasks. When the execution of the process arrives in those nodes, the system executing the process should wait till the assigned user completes the task. From a software technical point of view that capability is a big deal. As the alternative is a bunch of methods that are linked by HTTP requests, Message Driven Beans (MDB), database triggers, task forms, etc. Even when using the most applicable architectural components available in Java today, it is still very easy to end up in a bunch of unmaintainable hooks and eyes. Using an overall business process makes it a lot easier to see and maintain the overall execution flow, even from a software technical perspective. JBoss jBPM does exactly that and it differentiates itself from other BPM projects in the following topics: Easily embeddable into a Java project. Traditional BPM Systems typically require a separate server to be installed which makes it hard to integrate into the Java software development cycle. One of the deployments that JBoss jBPM supports is just adding the jBPM library to the classpath. The jBPM tables can be hosted in any database next to the application's tables. Using JBoss jBPM really fits with the normal way of developing Java software. Support for multiple process languages. The view on what BPM actually is has not yet been stabilized. There are currently many different interpretations of what BPM is, resulting in big fragmentation in the market. In fact, the body of this article tries to identify 6 distinct concepts that all are associated to BPM. Very flexible transaction management. If your application just uses a JDBC connection in a standard Java environment, then jBPM can use that very JDBC connection to perform its work. If your application uses hibernate in a standard environment, then jBPM can use the same hibernate session factory. If your application runs in an enterprise environment, then jBPM can bind to the surrounding JTA transaction. Readable jPDL process language. For developers it is very convenient if the process language is compact and readable. Not all developers want to keep using the graphical editor. Most hard core programmers start to hand code the processes after a while. Then jBPM's jPDL process language is the most readable, compact and complete. Standards BPEL and BPMN Todays most known standards in the space of BPM are BPEL and BPMN. Those two standards have a completely different background. That is a clear indication of the diverse type of problems that is currently associated to BPM. BPEL is defined with an Enterprise Service Bus (ESB) in mind. It's all based on WSDL, which binds naturally to web services. The result of deploying a BPEL process is that a new service is being published. A BPEL process can hence be seen as a scripting language for services on the bus. A more elaborate conceptual explanation of BPEL can be found in Process Component Models: The Next Generation In Workflow ? So BPEL is an executable process language, which implies that a it is human to computer communication, just like a programming language. On the other hand, the first target of BPMN is modeling process diagrams by non-technical business analysts. It defines the shapes, types and meaning of the boxes and arrows. This type of modeling should be seen in the context of 'BPM as a discipline' (see below). By definition, non technical business analyst do not think in terms of web services or other technology aspects. BPMN processes are primarily intended for communication between humans. So far, so good. But now comes the hard and confusing reality: BPEL has been presented as a solution for 'BPM as a discipline' and BPMN 2.0 plans to add concrete executable semantics. These days, most IT people already realized that BPEL is not a convenient solution for 'BPM as a discipline'. On the other hand adding concrete executable semantics to a business analyst modeling notation means that non-technical analysts will be implicitly writing a piece of executable software. Would you put software into production written by a non-technical person ? Use Case 1 : BPM as a discipline BPM as a discipline refers to the analysis, documentation and improvement of the procedures that describe how people and systems work together in an organization. Realize that most BPM is done in this way, not even resulting into any form of software or IT support. MS Visio is one the most used tools to document business processes. Of course, once the business process is documented, it might make sense to develop software support for it. Suppose that a business analyst modeled and documented a 'business trip' process, then one usage might be to find optimizations in that process. And another usage might be the development of software support for business trips. Please be aware that an automatic translation between pure analysis models and executable process models are not feasible in general. Initially BPM products tried to make this translation automagically transparent. In the context of BPM as a discipline, we believe that a process model from a non technical business analyst can never be translated into an executable process model by just adding technical details to it. The next attempt was to acknowledge existence of an analysis model and an executable process model and then try to keep them in sync. Especially because of the big differences between BPMN and BPEL this approach got a lot of attention. But then the problem of maintaining the links between analysis and executable process model appears. Who is going to spend the time to link the analysis blocks to the executable blocks and then keep that mapping up to date. This is illustrated in the following picture: [img_assist|nid=5584|title=|desc=|link=none|align=undefined|width=539|height=295] For mainstream software development resulting from 'BPM as a discipline', we believe that the original analysis diagram should serve as input with the rest of the software requirements. Developers should then construct an executable process that looks as close as possible to the original analysis diagram. After that, the analysis diagram is discarded and replaced by the executable process diagram. That way, the developer is in full control of the software technical aspects, while the analyst will still recognize the diagram. jBPM's jPDL language is designed to facilitate this approach. First of all, it's based on free graph modeling. Secondly, it has so called actions, which can be seen as event listeners. These event listeners are pieces of Java code that are called when process execution produces the event, but they are hidden from the process diagram. This allows the developer to add programming logic without changing the diagram structure. Also super-states are often used in the context of creating better communication between business analyst and developer. Use Case 2 : Combining template based and ad hoc task management Orchestrating human tasks can be found in most process engines in one form or another. But what is often overlooked is that template based task orchestration only suits for a limited number of scenarios. First the process must be relatively stable. And secondly, enough executions of this process have to happen so that the gain that can be achieved with software support is worth the development effort. A lot of work being done in organizations does not meet those two requirements. For example, organizing a one-time team building event, a restyling of the office space or cleaning up after the sprinkler system went off unexpectedly. For that type of work, people in charge will invent the process on the spot and it will only be executed once. Human Interaction Management (HIM) focuses on this type of work. A story in HIM reflects a task that person creates for which an ad-hoc process will be created. People can get involved in different roles. There are big benefits of tracing such work with a task management system. First, people that get involved with such a task after a while will get instant visibility into the history of the whole story. And secondly, an audit trail is logged automatically. In jBPM 4, the task management component will support this ad hoc human tasks. The combination will be awsome. Human tasks in processes can be specified at a course grained level. When such a process task is created for a person, the assignee can involve other people by creating subtasks and assigning people in different roles to these tasks. Only when the owner decides that the overall task is finished, then the process will continue. Use case 3 : Transactional asynchronous architectures Gregor Hohpe's Entperprise Integration Patterns describes building blocks for asynchronous architectures. These patterns are based on the notion of Message Oriented Middleware (MOM) aka message brokers. MOM's are good at asynchronous transactional communication between two systems and JMS is the Java standard to work with it. Of course point-to-point communication can be set up easily with existing Java infrastructure like Message Driven Beans. But in many cases many of these point-to-point communications are related. For example, to process one order, a message might come from a client into the order processing system. As part of that transaction, a notification might be sent to the warehouse and stock planning team. Eventually after many more steps, a message might be sent back to the client as a confirmation of the order. If all these transactional communications are build linearly, it will be very hard to manage the overall state of order processing. BPEL also focuses on asynchronous architectures, but then in a (web) services environment, rather then a Java environment. In BPEL only (web) services can be invoked and XML based technologies like XPath are integrated. So for more complex calculations, a piece of programming logic needs to be included. To include programming logic in BPEL, it needs t be wrapped and exposed as a service. That can be quite cumbersome in certain situations. In contrast, jPDL is embedded in a Java environment. Such a central dispatching functionality is really suited to be implemented by a process language like jPDL. An incoming message can start a new jPDL process execution or provide a trigger for an existing execution. jPDL allows to include programming logic straight into the process transaction. Cause jPDL is based on a Java architecture, that results into much more flexibility and convenience. Using the central dispatching approach creates immediately more insight into the overall state of a process. In terms of our order processing example, it will be very easy to keep track of the state of each order. Further more, process engines like jPDL collect the history information. This is an extra feature that you get for free when using a process engine in this way. From the history information it is very easy to collect valuable statistical information like the average time in each step of the process. The difference with the use case 'BPM as a discipline' is that in this case, the goal is software technical in nature. The process is looked at from an implementation perspective. There doesn't have to be a relation to a business level analysis process. Use case 4 : Service orchestration Service orchestration is actually a variant of the previous use case 'transactional asynchronous architectures'. Interactions between services on an Enterprise Service Bus (ESB) are usually asynchronous. This time, the communication is not done through sending messages over a MOM, but instead by calling services over an ESB. BPEL is a process language specifically designed for this use case. Apart from a construct to invoke WSDL services, it has a whole infrastructure for supporting conversations. Conversations are so called long running processes. The clue here is that a BPEL process specifies a number of service operations that are being published when a BPEL process is deployed. A BPEL process can then contain receive activities, which mean that the process execution will wait until a service operation invocation is received. In jBPM we have implemented the BPEL process language as on of the languages that we support on top of our Process Virtual Machine. Use Case 5 : Visual programming With visual programming, we will target developers that do not yet have the full skillset to develop in Java. They can graphically specify the activities and draw transitions to indicate the control flow. Instead of typing Java code, just put blocks like 'perform hql query', 'generate pdf', 'send email', 'read file', 'parse xml', 'send msg to esb'. Instead of writing Java, they will be composing software programs by linking activity boxes in the diagram and filling in the configuration details. This will, of course, not have the same kind of flexibility as Java programming itself. Visual programming as we describe it here will not replace programming as we know it today. Today's programmers can be considered the power users and that kind will always be needed. But visual programming can lower the treshold to build applications for developers that have no or limited Java knowledge. The Process Virtual Machine (PVM) is the foundation of jBPM. In the PVM infrastructure it is really easy to add a new activity type. Think of it as a kind of command pattern, where the commands are configurable. So it will be very easy for us to develop new activity types. This way, we can expose the bulk part of the Java programming functionalities as activity types in the jPDL process language. In jPDL, these visual programs will be executable transactionally or without persisting the state of the execution. Use Case 6 : Thread Control Language This is a specific aspect of visual programming that also can be used by experienced developers. Coding multi-threaded Java programs is not easy. In fact, it is at least tedious and mostly pretty hard to code. Starting new threads, passing data into them, joining and making them stop properly can be a challenge. We'll develop a Thread Control Language which lets you specify a multithreaded Java concurrency by drawing forks, joins and method activities. A method activity invokes a methods on your Java object. And the concurrency control is handled by the forks and join in the process. These processes will be executed without any persistence. Use Case 7 : Easy creation of DSLs General purpose process languages are different from domain specific process languages. For example, think of a process language to specify approvals in an Enterprise Content Management (ECM) system. This gives a scoped functionality and a fixed environment. In such cases, a specific process language could be developed for this purpose. One of the advantages of such dedicated languages is that they can be made simple enough so that non technical business users can actually create fully executable processes. Another example of a domain specific process language is SEAM's Pageflow. It allows developers of a JSF based web site to specify the pages and navigations between the pages graphically. There is even an easier way. Instead of creating a full process language for a specific purpose, it is also possible to leverage jPDL's capabilities and just add new node types to it. That is already possible in jBPM 3 and will be peanuts in jBPM 4, even adding graphical support in the process designer for these new node types will be made simple. Conclusion The typical understanding of BPM is that non technical business people create diagrams that then automagically get executed on a BPM system. The first use case 'BPM as a discipline' describes that point of view. The value lies in the fact that non technical business people can communicate with the developers around a diagram. That diagram facilitates the communication between business analysts and developers. But even in that use case, the traditional understanding needs fine tuning. An analysis diagram at some point has to be converted into an executable process. At that moment, the responsibility over the process is transferred from the analyst to the developer. Many vendors have created the tools and illusion that this can be done automagically. But in practice, this black box approach creates more problems then it solves. The description of the 7 individual use cases shows distinct aspects of BPM. Knowing the difference between service orchestration and 'BPM as a discipline' will be key for organizations to select the most appropriate technology. All of the use cases have at least a technical side. That is understandable as all the use cases here target some form of software automation at some point. And other use cases target solely technical aspects. That is why the embeddability of jBPM is so important. Monolithic BPM engines have a high treshold to be incorporated into a typical software development project. jBPM has a big focus on delivering solutions for these distinct use cases to developers in a way that is easy for them to consume and integrate into their own software development project. Tom Baeyens is the founder and lead of JBoss jBPM, the leading open source BPM system. Tom mission is to bring the power of BPM technology into the hands of the developers. He's a frequent speaker at international conferences and maintains a blog at http://processdevelopments.blogspot.com
October 21, 2008
by Tom Baeyens
· 57,301 Views · 1 Like
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Adding Color and Font preferences
You had that nice looking editors and views. You loved the button color and the geeky font. But your boss didn't. Solution? Put a preference so that the user can choose which ever he likes ;-) Ok. That may not be the real rationale, but for a valid reason, you wanted to have Color and Font preferences in the PreferencePage. The obvious answer for us (the plugin develoepers) would be to add ColorFieldEditor & FontFieldEditor in our existing PreferencePage. But its not obvious for the user to look into your plugins Preference Page for changing them. Eclipse already provides a PreferencePage for these customizations: Colors and Fonts page ( General->Appearance->Colors and Fonts ) Users might be looking into this place to change the colors & fonts. As you can see in the above image it categorizes the available preferences; gives a filter to search; provides space for description and preview; and a tool tip for the current value of the preference. This is much more than the *FieldEditor right? In this tip let us see how to add our preferences into that and access them. You need to extend the org.eclipse.ui.themes extension point for adding your content into this page. I would like to provide one category with one color preference and one font preference. The extension is: An example theme category Your description goes here Description for this font Guess all the elements are self explanatory - except for the value element. For colorDefinition the value element will be the COLOR_* constants defined in the SWT class. You can specify your custom colors thru comma separated RGB values like 125,245,96. For fontDefinition it would be fontname-style-height. Now our UI will look like: To get the values stored in the preferences, you need to use the IThemeManager: IThemeManager themeManager = PlatformUI.getWorkbench().getThemeManager(); ITheme currentTheme = themeManager.getCurrentTheme(); ColorRegistry colorRegistry = currentTheme.getColorRegistry(); Color color = colorRegistry.get("com.eclipse-tips.blog.preferences.colorDefinition"); FontRegistry fontRegistry = currentTheme.getFontRegistry(); Font font = fontRegistry.get("com.eclipse-tips.blog.preferences.fontDefinition"); Once you get the current theme, you can get the preferences stored by giving the appropriate ids defined in the plugin.xml What you have seen is just the tip of the iceberg. The themes extension point has much more functionalities (The Preview is one such example). I'll explain them later, but you can see the Extension Point description here. This is an extract from http://blog.eclipse-tips.com/2008/08/adding-color-and-font-preferences.html
October 15, 2008
by Prakash
· 13,942 Views
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A Look Inside the JBoss Microcontainer, Part I -- Component Models
Looking at the current state of Java, we can see that POJOs (Plain Old Java Objects) rule the land yet again. Their dominance stretches from enterprise applications to middleware services. At JBoss we were known for our modular JMX-based kernel. The application server was nothing more than a bunch of flexible MBeans and a powerful MicroKernel in the middle. But, as you could feel the change is coming, we still wanted to be ahead of the pack. We could see different POJO based component models popping up all over the place (EJB3, JPA, Spring, Guice, … to name a few), yet nothing was out there that would bind them all, flattening out the differences on a single component model. Hence the Microcontainer project was born. The JBoss Microcontainer project is about many things. The Microcontainer's features range from reflection abstraction, a virtual file system, a simple state machine to transparent AOP integration, a new classloading layer, a deployment framework and an OSGi framework implementation. I'll try to address them all over a short series of articles that will be published here on DZone. This article will examine the Microcontainer's component models. Read the other parts in DZone's exclusive JBoss Microcontainer Series: Part 1 -- Component Models Part 2 –- Advanced Dependency Injection and IoC Part 3 -- the Virtual File System Part 4 -- ClassLoading Layer Part 5 - the Virtual Deployment Framework Part 6 - The Scanning Library What is a component model? What do we consider a component model? First of all, what do we consider being a component? One abstract way to express this would be that “components are reusable software programs that you can develop and assemble easily to create sophisticated applications.” To consider a bunch of components as an actual model, we also need to declare what kind of interactions we allow. JMX MBeans are one example of a component model. Their interactions include executing MBean operations, referencing attributes, setting attributes and declaring explicit dependencies between named MBeans. As mentioned, we had advanced JMX handling already with the MicroKernel. And as expected, the Microcontainer brought extensive POJO support. The default behavior and interactions in the Microcontainer are what you also normally get from any other IoC container and are similar to the functionality that MBeans provided: plain method invocations for operations, setters/getters for attributes and explicit dependencies. However, having only this functionality would mean we didn't get much further than just relieving the pain of declaring MBeans, hence it was only logical for us to do something more. I'll leave the discussion of these new IoC features for the next article in the series. There are many existing POJO component models out there, Guice and Spring being amongst the most popular. Effective integration with these frameworks was an important goal for us. Demo environment setup Before we begin, I'd like to first describe the various parts that constitute the demo. All the source code can be found at this location of our Subversion repository: • http://anonsvn.jboss.org/repos/jbossas/projects/demos/microcontainer/branches/DZone_1_0/ The project is fully mavenized, so it should be easy to adjust it to your IDE. I will first go over the sub-projects within the demo and describe their usage. At the end of my article series, I will provide a more detailed look at what certain sub-projects do. Below are the JBoss Microcontainer demos and sub-projects that are relevant for this article: • bootstrap (as the name suggests, it bootstraps the Microcontainer with demo code) • jmx (adds the JMX notion to demo's bootstrap) • models (source code of our components / services) The demo has only one variable you need to set - demos home - but even this one can be optional if you checked-out your project into the \projects\demos directory. Otherwise, you need to set the system property demos.home (e.g. -Ddemos.home=). You should now be able to run JMXMain as a main class. Make sure you include the models sub-project in the classpath, since some of the services require additional classes in the classpath, several more then what the jmx sub-project expects. Once the Microcontainer is booted it starts to scan the ${demos.home}/sandbox directory for any changes. Now all we need to do is provide a deployable unit and drop it in there. Models Let’s now turn our attention to the models sub-project. This is where the previously mentioned deployable unit should come from. You can see if everything is in place by building the models sub-project (mvn package) and dropping it into the sandbox. You should get a bunch of debug and info messages on the console log, showing how the Microcontainer got booted. Any error message indicates some problems. Let’s go over exactly what the models sub-project does, its integration code and try to redeploy it. If we look at the models src/main/resources/META-INF directory, we'll see plenty of -beans.xml resource files and one -service.xml. You’ll notice that each has a meaningful name that matches the source code package from models's src/main/java/org/jboss/demos/models directory. Let's dissect them one by one, starting with the ones that have no dependencies. org.jboss.demos.models.plain.PojoFactory This is a simple Micrcocontainer beans descriptor file. Anyone who crossed paths with some other IoC’s configuration file should be familiar with it. And, as I already mentioned, I'll follow up on more advanced usage in the next article. The next file shows what we have done to support Spring integration: Note that this file's namespace is different from the previous Microcontainer bean’s plain-beans.xml file. The urn:jboss:spring-beans:2.0 namespace points to our version of the Spring schema port, meaning you can describe your beans Spring style, but it's the Microcontainer that's going deploy then, not Spring's bean factory notion. public class Pojo extends AbstractPojo implements BeanNameAware { private String beanName; public void setBeanName(String name) { beanName = name; } public String getBeanName() { return beanName; } public void start() { if ("SpringPojo".equals(getBeanName()) == false) throw new IllegalArgumentException("Name doesn't match: " + getBeanName()); } } Although the SpringPojo bean has a dependency on Spring lib via implementing BeanNameAware interface, this dependency is only there to expose and mock some of the Spring's callback behavior (see SpringBeanAnnotationPlugin for more details). Since we introduced Spring integration, let's have a look at Guice integration. As Guice users know, Guice is all about type matching. Configuration of Guice beans is done via Modules which means that in order to generate beans, one must implement a Module. Two important parts to watch from this file are PojoModule and GuiceKernelRegistryEntryPlugin. The first one is where we configure our beans: public class PojoModule extends AbstractModule { private Controller controller; @Constructor public PojoModule(@Inject(bean = KernelConstants.KERNEL_CONTROLLER_NAME) Controller controller) { this.controller = controller; } protected void configure() { bind(Controller.class).toInstance(controller); bind(IPojo.class).to(Pojo.class).in(Scopes.SINGLETON); bind(IPojo.class).annotatedWith(FromMC.class).toProvider(GuiceIntegration.fromMicrocontainer(IPojo.class, "PlainPojo")); } } The second class provides integration with the Microcontainer: public class GuiceKernelRegistryEntryPlugin implements KernelRegistryPlugin { private Injector injector; public GuiceKernelRegistryEntryPlugin(Module... modules) { injector = Guice.createInjector(modules); } public void destroy() { injector = null; } public KernelRegistryEntry getEntry(Object name) { KernelRegistryEntry entry = null; try { if (name instanceof Class) { Class clazz = (Class)name; entry = new AbstractKernelRegistryEntry(name, injector.getInstance(clazz)); } else if (name instanceof Key) { Key key = (Key)name; entry = new AbstractKernelRegistryEntry(name, injector.getInstance(key)); } } catch (Exception ignored) { } return entry; } } Notice how we created an Injector from the Modules and then did a lookup on it for matching beans. In mbeans-service.xml we declare our legacy usage of MBeans: What’s interesting to note here is how we injected a POJO into an MBean. The preceding demonstrated our first interactions between different component models. In order to allow for MBean deployment via the Microcontainer, we had to write entirely new component model handling code. See the system-jmx-beans.xml for more details. The code from this file lives in the JBossAS source code: system-jmx sub-project. One note here, this is currently only possible with JBoss's JMX implementation, since the system-jmx code uses some implementation details. Now what if we wanted to expose our existing POJOs as MBeans, registering them into an Mbean server? @org.jboss.aop.microcontainer.aspects.jmx.JMX(exposedInterface=org.jboss.demos.models.mbeans.PojoMBean.class, registerDirectly=true) As you can see from looking at any of the beans in this file, in order to expose your POJOs as MBeans, it’s simply a matter of annotating them with an @JMX annotation. You can either expose the bean directly or its property: Here we see how you can use any of the injection lookup types by either looking up a plain POJO or getting a handle to an MBean from the MBean server. One of the injection options is to use type injection, which is also sometimes called autowiring: The FromGuice bean injects the Guice bean via type matching, where PlainPojo is injected with a common name injection. We then test if Guice binding works as expected: public class FromGuice { private IPojo plainPojo; private org.jboss.demos.models.guice.Pojo guicePojo; public FromGuice(IPojo plainPojo) { this.plainPojo = plainPojo; } public void setGuicePojo(org.jboss.demos.models.guice.Pojo guicePojo) { this.guicePojo = guicePojo; } public void start() { f (plainPojo != guicePojo.getMcPojo()) throw new IllegalArgumentException("Pojos are not the same: " + plainPojo + "!=" + guicePojo.getMcPojo()); } } This only leaves us with an alias component model. Even though the alias is quite a trivial feature, in order to implement it as a true dependency, it has to be introduced as a new component model inside the Microcontainer. The implementation details for this is part of the AbstractController source code: springPojo Here we’ve mapped the SpringPojo name to the springPojo alias. The beauty of having aliases as true component models is that it doesn't matter when the real bean gets deployed. This means that the alias will wait in a non-installed state until the real bean triggers it. Conclusion We've seen how we can deploy simple Microcontainer beans, legacy MBeans, Guice POJOs, Spring beans and aliases. And since all of this is controlled by the Microcontainer, we saw how easily we can mix and match the different component models. I can easily say, with the level of abstraction we put in our component model design, the sky is the limit on what we can handle. An example of this is the upcoming OSGi services, but that's another story, another article. Stayed tuned for my next article which will provide a detailed look at the Microcontainer's IoC functionality. About the Author Ales Justin was born in Ljubljana, Slovenia and graduated with a degree in mathematics from the University of Ljubljana. He fell in love with Java seven years ago and has spent most of his time developing information systems, ranging from customer service to energy management. He joined JBoss in 2006 to work full time on the Microcontainer project, currently serving as its lead. He also contributes to JBoss AS and is Seam and Spring integration specialist. He represent JBoss on 'JSR-291 Dynamic Component Support for Java SE' and 'OSGi' expert groups.
October 1, 2008
by Ales Justin
· 57,507 Views
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The Capability Pattern: Future-Proof Your APIs
Here is a simple pattern which you can use to make your APIs extensible, even by third parties, without sacrificing your ability to keep backward compatibility. It is very frequent to create a library which has two “sides” — an API side and an SPI side. The API is what applications call to use the library. The SPI (Service Provider Interface) is how functionality — for example, access to different kinds of resources, is provided. One example of this is JavaMail: To read/write email messages, you call JavaMail's API. Under the hood, when you ask for a mail store for, say, an IMAP mail server, the JavaMail library looks up all the providers registered (injected) on the classpath, and tries to find one that supports that protocol. The protocol handler is written to JavaMail's SPI. If it finds one, then you can fetch messages from IMAP servers using it. But your client code only ever calls the JavaMail API - it doesn't need to know anything about the IMAP service provider under the hood. There is one very big problem with the way this is usually done: API classes really ought to be final in almost all cases. SPI classes ought to be abstract classes unless the problem domain is extremely well-defined, in which case interfaces make sense (you can use either, but in a not-well-defined problem domain you may end up, over time, creating things with awful names like LayoutManager2). I won't go into great detail about why this is true here (my friend Jarda does in his new book and we discuss it somewhat in our book Rich Client Programming). In abbreviated form, the reasons are: You can provably backward compatibly add methods to a final class. And if the class is final, that fact has communication-value — it communicates to the user of that class that it's not something they might need to implement, where an interface would be more confusing. You can backward compatibly remove methods from an SPI interface or abstract class, if your library is the only thing that will ever call the SPI directly is your library. Older implementations will still have the method, it just will never be called (in a modular environment such as the NetBeans module system, OSGi or presumably JSR-277, you would enforce this by putting the API and SPI in separate JAR files, so a client can't even see the SPI classes). A minor benefit of using abstract classes is that you can semi-compatibly add non-abstract methods to an abstract class later. But do remember that you run the risk that someone will have a subclass with the same method name and arguments and an incompatible return-type (the JDK actually did this to us once in NetBeans, by adding Exception.getCause() in JDK 1.3). So adding methods to a public, non-final class in an API is a backward-incompatible change. Given those constraints, what happens if you mix API and SPI in the same class (which is what JavaMail and most Java standards do)? Well, you can't add methods compatibly because that could break subclasses. And you can't remove them compatibly, because clients could be calling them. You're stuck. You can't compatibly add or remove anything from the existing classes. As I've written elsewhere, it is the height of insanity that an application server vendor is supposed to implement interfaces and classes that its clients directly call — for exactly this reason. It would be much cleaner, and allow Java APIs to evolve much faster, if API and SPI were completely separated. But part of the appeal to vendors, for better or worse, to implement these specifications, is that they can extend them in custom ways that will tie developers who use those extensions to their particular implementation. This behavior not entirely about being evil and locking people in. There is a genuine case for innovation on top of a standard - that's how standards evolve, and some people will need functionality that the standard doesn't yet support. Enter the capability pattern. The capability pattern is very, very simple. It looks like this: public getCapability (Class type); That's it! It's incredibly simple! It has one caveat: Any call to getCapability() must be followed by a null-check. But this is much cleaner than either catching UnsupportedOperationExceptions, or if (foo.isAbleToDoX()) foo.doX() or if (foo instanceof DoerOfX) ((DoerOfX) foo).doX(). A null-check is nice and simple and clean by comparison. It's letting the Java type system work for you instead of getting into a wrestling match with it. Now, what can you do with it? Here's an example. In my previous blog I introduced an alternative design for how you could do something like SwingWorker. It contains a class called TaskStatus, which abstracts the task status data from the task-performing object itself. It is a simple interface with setters that allow a background thread to inform another object (presumably a UI) about the progress of a task. In light of what we just discussed, TaskStatus really ought to be a final class. So let's rewrite it a little, to look like this. We will use a mirror-class for the SPI. public final class TaskStatus { private final StatusImpl impl; TaskStatus (StatusImpl impl) { this.impl = impl; } public void setTitle (String title) { impl.setTitle (title); } public void setProgress (String msg, long progress, long min, long max) { //We could do argument sanity checks here and make life //simpler for anyone implementing StatusImpl impl.setProgress (msg, progress, min, max); } public void setProgress (String msg) { //...you get the idea //... } public abstract class StatusImpl { public abstract void setTitle (String title); public abstract void setProgress (String msg, long progress, long min, long max); public abstract void setProgress (String msg); //indeterminate mode public abstract void done(); public abstract void failed (Exception e); } So we have an API that handles basic status display. But people are going to invent new aspects to status display. We can't save the world and solve everybody's task-status problems before they even think of them - and we shouldn't try. We don't want to set things up so that it's up to us to implement everything the world will ever want. Luckily, it doesn't have to be that way. Since we've designed our API so that it can be compatibly added to, we let the rest of the world come up with things they need for displaying task status, and the ones that a lot of people need can be added to our API in the future. The capability pattern lets us do that. We add two methods to our API and SPI classes: public abstract class StatusImpl { //... public T getCapability (Class type); } public final class TaskStatus { //... public T getCapability (Class type) { return impl.getCapability (type); } } Let's put that to practical use. Someone might want to display how much time remains before the task is done. Our API doesn't handle that. Through the capability pattern, we can add that. We (or anyone implementing StatusImpl) can create the following interface: public interface StatusTime { public void setTimeRemaining (long milliseconds); } A task that wants to provide this information to the UI, if the UI supports it, simply does this: public T runInBackground (TaskStatus status) { StatusTime time = status.getCapability (StatusTime.class); for (...) { //do some slow work... if (time != null) { long remaining = //estimate the time remaining time.setTimeRemaining (remaining); } } } Even better, our Task API is, right now, not tied specifically to Swing or AWT - it could be used for anything that needs to follow the pattern of computing something on a background thread and then doing work on another one. Why not keep it un-tied to UI toolkits? All we have to do is make the code that actually handles the threading pluggable (I'll talk about how you do this simply using the Java classpath for dependency injection in my next blog). Then the result could be used with SWT or Thinlet as well, or even in a server-side application. Instead of a SwingWorker, we have an AnythingWorker! But we know we need a UI - and we know we are targetting Swing right now. How can we really keep this code completely un-tied from UI code and still have it be useful? The capability pattern comes to our rescue again - very very simply. An actual application using this UI simply fetches the default factory for StatusImpls (you need such a thing if you want to run multiple simultaneous background tasks and show status for each — my next blog will explain how this can be injected just by putting a JAR on the classpath) and does something like: Component statusUi = theFactory.getCapability (Component.class); if (statusUi != null) { statusBar.add (statusUi); } (or if we want to allow only one background task at a time, we can forget the factory and put the Component fetching code directly in our implementation of StatusImpl). If you are familiar with NetBeans Lookup API, the capability pattern is really a simplification of that (minus collection-based results and listening for changes). The point here is that the capability pattern lets you have an API that is composed completely of nice, future-proofed, evolvable, final classes, but the API is extensible even though it is final. The result is that the API can evolve faster, with fewer worries about breaking anybody's existing code. Which reduces the cycle time to improve existing libraries, and all our software evolves and improves faster, which is good for everyone. It also helps one to avoid trying to “save the world” — by allowing for extensibility, it is possible to create an API that is useful without needing to handle every possible thing anyone might ever want to do in that problem domain. Trying to save the world is what leads to scope-creep and never-finished projects. In this tutorial I discuss the don't try to save the world principle in a practical example. Does the mirror-class design seem a bit masochistic? I think it does point up a weakness in the scoping rules of the Java language. It would definitely be nicer to be able to, on the method level, make some methods visible to some kinds of clients, and other methods visible to other kinds of clients. But regardless of this, it's even more masochistic to end up “painted into a corner,”[1] and unable to fix bugs or add features without potentially breaking somebody's code. That's how you end up with ten-year-old unfixed bugs. [1]painted into a corner — An English idiom meaning to leave yourself with no options — you were painting the floor of a room in a pattern such that you end up standing in an unpainted corner of the room, and you can't leave the corner until the paint dries. From http://weblogs.java.net/blog/timboudreau/
August 29, 2008
by Tim Boudreau
· 20,247 Views
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An Introduction to Aspect-Oriented programming with JBoss AOP
JBoss Application Server ships with support for aspect-oriented programming, so you can use AOP in your applications deployed in JBoss AS. JBoss AS 5, which is currently available as a community release, has AOP built into its core. However, JBoss AOP is also available as a standalone framework for use in your other applications. This article will take a simple example, and use JBoss AOP to add to its behaviour, while explaining some of the core functionality of JBoss AOP. We will look at encapsulating cross-cutting concerns into aspects, have a look at around advices vs the new lightweight advices in the upcoming JBoss AOP 2.0 release, and also look at using interface-introductions and mixins to add interfaces to your classes. Table of Contents Our Core Application Our Core Application The application we will look at is is a simple banking application. It has a BankAccount class: package bank; public class BankAccount { int accountNumber; int balance; public BankAccount(int accountNumber) { System.out.println("*** Bank Account constructor"); this.accountNumber = accountNumber; } public int getAccountNumber() { return accountNumber; } public int getBalance() { return balance; } public void debit(int amount) { System.out.println("*** BankAccount.debit()"); balance -= amount; } public void credit(int amount) { System.out.println("*** BankAccount.credit()"); balance += amount; } } In addition it has a main Bank class: package bank; import java.util.HashMap; import java.util.Map; public class Bank { static Map bankAccounts = new HashMap(); public static void transfer(BankAccount from, BankAccount to, int amount) { from.debit(amount); to.credit(amount); } public static void main(String[] args) { System.out.println("*** Creating account 1"); BankAccount acc1 = new BankAccount(1); acc1.credit(150); bankAccounts.put(acc1.getAccountNumber(), acc1); System.out.println("*** Creating account 2"); BankAccount acc2 = new BankAccount(2); acc2.credit(230); bankAccounts.put(acc2.getAccountNumber(), acc2); System.out.println("*** Balance acount 1: " + acc1.getBalance()); System.out.println("*** Balance acount 2: " + acc2.getBalance()); //Transfer some money System.out.println("*** Transfer 50 from account 1 to account 2"); transfer(acc1, acc2, 50); System.out.println("*** Balance acount 1: " + acc1.getBalance()); System.out.println("*** Balance acount 2: " + acc2.getBalance()); } } As you can see, we create two bank accounts with their account numbers, set the initial balances, and then transfer 50 from account1 to account 2. Running this simple example we get the following expected output: *** Creating account 1 *** Bank Account constructor *** BankAccount.credit() *** Creating account 2 *** Bank Account constructor *** BankAccount.credit() *** Balance acount 1: 150 *** Balance acount 2: 230 *** Transfer 50 from account 1 to account 2 *** BankAccount.debit() *** BankAccount.credit() *** Balance acount 1: 100 *** Balance acount 2: 280 The code for this example can be found in the listing1/ folder of . Logging as a Cross-Cutting Concern One of the main uses of AOP is to extract out cross-cutting concerns. Say we wanted to add some logging whenever an object is created, when its fields are set, and when its methods are called. The “obvious” way to do that in our example would be to go in and add logging statements to various points of our application. The problem with this approach is that there might be lots of places to edit, scattered around our system, so we would need to identify those places, make our changes, and recompile our application. To turn this behaviour off, we would need to remove our logging statements again and recompile our code again. So the “obvious” way both leads to bloat, and is difficult to turn on and off. Using AOP we can encapsulate this cross-cutting code in an aspect. The aspect itself is just a normal class, which can hold state, extend other classes, everything you can do in a normal Java class. package bank; import org.jboss.aop.joinpoint.ConstructorInvocation; import org.jboss.aop.joinpoint.FieldWriteInvocation; import org.jboss.aop.joinpoint.MethodInvocation; public class LoggingAspect { public Object log(ConstructorInvocation invocation) throws Throwable { try { System.out.println("C: Creating BankAccount using constructor " + invocation.getConstructor()); System.out.println("C: Account number: " + invocation.getArguments()[0]); return invocation.invokeNext(); } finally { System.out.println("C: Done"); } } public Object log(MethodInvocation invocation) throws Throwable { try { System.out.println("M: Calling method " + invocation.getMethod().getName()); System.out.println("M: Amount " + invocation.getArguments()[0]); return invocation.invokeNext(); } finally { System.out.println("M: Done"); } } public Object log(FieldWriteInvocation invocation) throws Throwable { BankAccount account = (BankAccount)invocation.getTargetObject(); System.out.println("F: setting field " + invocation.getField().getName() + " for BankAccount " + account.getAccountNumber()); System.out.println("F: Field old value " + account.getBalance()); System.out.println("F: New value will be " + invocation.getValue()); try { return invocation.invokeNext(); } finally { System.out.println("F: Field new value " + account.getBalance()); System.out.println("F: Done"); } } } The actual code implementing the cross-cutting concerns is encapsulated in methods called advice methods. For the type of advice methods that we are looking at now, around advice, the signature and format of the advice method is as shown here: public Object (org.jboss.aop.joinpoint.Invocation invocation) throws Throwable { //Do something before try { return invocation.invokeNext(); } finally { //Do something after } } The invocation parameter can be of type org.jboss.aop.joinpoint.Invocation, or one of its subclasses. Some of these are shown in the LoggingAspect, and which of the overloaded log methods gets called depends on what is being called once we apply our aspect. In the LoggingAspect we are able to handle calls to an object's constructor (the first log() method, starting on line 9), calls to an object's methods (the second log() method, starting on line 23) and calls to set a field (the third log() method, starting on line 37). These “events” are called joinpoints in AOP terminology. The invocation contains information about what field/method/constructor is being called. It also allows access to any arguments, and the object on which we are making the call. The around advice methods also contain a call to Invocation.invokeNext(), which propogates the call chain. If there are several advice methods applied to the target joinpoint, this call invokes the next advice in the chain. If this is the last advice in the chain, or as in our example, we are the only advice in the chain, the target joinpoint is called when we call Invocation.invokeNext(). To apply our aspects, we need some configuration to declare our aspects, and to select the joinpoints in our application where the advice methods should be applied. In JBoss AOP the easiest way to do this is with an xml configuration file, typically called jboss-aop.xml. First we declare our aspect: A binding has a pointcut to choose which methods we should apply the advice to. In this case we have a constructor expression that selects the constructor of the bank.BankAccount class that has an int parameter. Note that all class names used in pointcut expressions must be fully qualified. The word new is a special identifier within the pointcut language to pick out a constructor. Next, the around part of the binding says that we should apply the log advice from the bank.LoggingAspect to the joinpoints matched by its pointcut. In other words, when we call BankAccount's constructor, the first LoggingAspect.log() method, which takes a ConstructorInvocation, is invoked. The previous binding's pointcut only captures one joinpoint. The next one uses a wildcard in place of the method name, so we pick out all methods returning void that take an int parameter, regardless of their name. It looks a lot like the constructor expression in the previous binding, but also contains the return type of the methods we are interested in. This pointcut picks out BankAccount.debit() and BankAccount.credit(), and invokes the second LoggingAspect.log() method, which takes a MethodInvocation, when these methods are called. Finally, we have a binding capturing writes to the balance field of the BankAccount class. In this case we are using a wildcard in place of the type's name, and the third LoggingAspect.log method, which takes a FieldWriteInvocation, will be invoked when the field's value is set: In addition to wildcards, you can also capture whole inheritance hierarchies of classes, use typedefs for complex class expressions, all classes belonging to a package, and as we will see use annotations to capture a wide range of jonpoints. To run this application with aop enabled, you need to pass in a few extra parameters into the jvm when starting it up, as we can see in the example's build.xml The jboss.aop.path parameter contains the path to the jboss-aop.xml that declares our aspects and binds advice methods to joinpoints. The -javaagent switch points to the JBoss AOP library, which in turn turns on load-time weaving. When a class is first loaded, JBoss AOP will intercept that event and modify the bytecode of the class to add the hooks required to trigger the aspects for our selected joinpoints. In addition to weaving at load-time, you can weave the classes using our aopc post-processor. An example of this is shown in the example's build.xml. Running the example with load-time weaving yields the following output, now with quite a lot of extra information coming from our logging aspect: *** Creating account 1 C: Creating BankAccount using constructor public bank.BankAccount(int) C: Account number: 1 *** Bank Account constructor C: Done M: Calling method credit M: Amount 150 *** BankAccount.credit() F: setting field balance for BankAccount 1 F: Field old value 0 F: New value will be 150 F: Field new value 150 F: Done M: Done *** Creating account 2 C: Creating BankAccount using constructor public bank.BankAccount(int) C: Account number: 2 *** Bank Account constructor C: Done M: Calling method credit M: Amount 230 *** BankAccount.credit() F: setting field balance for BankAccount 2 F: Field old value 0 F: New value will be 230 F: Field new value 230 F: Done M: Done *** Balance acount 1: 150 *** Balance acount 2: 230 *** Transfer 50 from account 1 to account 2 M: Calling method debit M: Amount 50 *** BankAccount.debit() F: setting field balance for BankAccount 1 F: Field old value 150 F: New value will be 100 F: Field new value 100 F: Done M: Done M: Calling method credit M: Amount 50 *** BankAccount.credit() F: setting field balance for BankAccount 2 F: Field old value 230 F: New value will be 280 F: Field new value 280 F: Done M: Done *** Balance acount 1: 100 *** Balance acount 2: 280 The code for this example can be found in the listing2/ folder of . Externalising Security Checks Logging is the common example used for introductions to AOP, so let's try doing something more interesting. Say we want to make sure that only users with the correct permissions can call a method. We could annotate our methods from BankAccount as follows: package bank; public class BankAccount { int accountNumber; int balance; @Roles(roles= {"admin"}) public BankAccount(int accountNumber) { System.out.println("*** Bank Account constructor"); this.accountNumber = accountNumber; } ... @Roles(roles= {"admin"}) public void debit(int amount) { System.out.println("*** BankAccount.debit()"); balance -= amount; } @Roles(roles= {"admin", "user"}) public void credit(int amount) { System.out.println("*** BankAccount.credit()"); balance += amount; } } So only users with the role “admin” can create BankAccount instances and debit accounts, while users with the role “admin” or “user” can credit accounts. We have created a security.properties file to configure users and their roles: admin=password;admin,user guest=password;user There is a user called 'admin' whose password is 'password' who has the roles 'admin' and 'user', and a user called 'guest' whose password is 'password' who only has the role 'user'. We can then apply a SecurityAspect to the methods annotated with the @Roles annotation. Note that like everything else in the pointcut language the annotations need to be fully qualified. The “..” in place of the parameters in the pointcut expressions means we want this aspect to be applied to all constructors and methods annotated with @Roles regardless of the parameters it takes. The SecurityAspect then checks that the correct user is used: package bank; import java.io.File; import java.io.FileInputStream; import java.io.FileNotFoundException; import java.io.IOException; import java.net.URISyntaxException; import java.net.URL; import java.util.Arrays; import java.util.Enumeration; import java.util.HashMap; import java.util.List; import java.util.Map; import java.util.Properties; import org.jboss.aop.joinpoint.Invocation; public class SecurityAspect { Map usernamePassword = new HashMap(); Map> userRoles = new HashMap>(); public SecurityAspect() throws FileNotFoundException, IOException, URISyntaxException { //Initialise the usernamePassword and userRoles maps //with information from security.properties } public Object checkSecurity(Invocation invocation) throws Throwable { String username = LoginInfo.getUsername(); String password = usernamePassword.get(username); if (password == null) { throw new SecurityException("Unknown user"); } if (!password.equals(LoginInfo.getPassword())) { throw new SecurityException("Wrong password"); } Roles rolesAnnotaton = (Roles)invocation.resolveAnnotation(Roles.class); List hasRoles = userRoles.get(username); boolean hasRole = false; if (hasRoles != null) { for (String role : rolesAnnotaton.roles()) { if (hasRoles.contains(role)) { hasRole = true; break; } } } if (!hasRole) { throw new SecurityException("Wrong roles for user"); } return invocation.invokeNext(); } } The roles needed to invoke the target joinpoint are got from the invocation using this call: Roles rolesAnnotaton = (Roles)invocation.resolveAnnotation(Roles.class); This does the same as calling java.lang.reflect.Method.getAnnotation() or java.lang.reflect.Constructor.getAnnotation() for the called method or constructor, but also allows for annotation overrides as part of the aop configuration, which are beyond the scope of this article. Although the type of invocation used in this example is Invocation, the specific type created by JBoss AOP will be ConstructorInvocation or MethodInvocation depending on what we are calling. The referenced LoginInfo class is just a wrapper around some static fields containing the username and password. package bank; public class LoginInfo { private static String username; private static String password; public static void setUsernameAndPassword(String username, String password) { LoginInfo.username = username; LoginInfo.password = password; } public static String getUsername() { return username; } public static String getPassword() { return password; } } Now let us modify the Bank.main() method to populate the LoginInfo fields: public static void main(String[] args) { System.out.println("*** Log in as 'guest' - it does not have the correct roles to create an account"); LoginInfo.setUsernameAndPassword("guest", "password"); System.out.println("*** Attempting to create account 1"); try { BankAccount acc1 = new BankAccount(1); acc1.credit(150); bankAccounts.put(acc1.getAccountNumber(), acc1); } catch(SecurityException e) { System.out.println("!!! Expected SecurityException " + e.getMessage()); } System.out.println("*** Log in as 'admin' - the roles are fine for the rest now"); LoginInfo.setUsernameAndPassword("admin", "password"); System.out.println("*** Creating account 1"); BankAccount acc1 = new BankAccount(1); acc1.credit(150); bankAccounts.put(acc1.getAccountNumber(), acc1); System.out.println("*** Creating account 2"); BankAccount acc2 = new BankAccount(2); acc2.credit(230); bankAccounts.put(acc2.getAccountNumber(), acc2); System.out.println("*** Balance acount 1: " + acc1.getBalance()); System.out.println("*** Balance acount 2: " + acc2.getBalance()); //Transfer some money System.out.println("*** Transfer 50 from account 1 to account 2"); transfer(acc1, acc2, 50); System.out.println("*** Balance acount 1: " + acc1.getBalance()); System.out.println("*** Balance acount 2: " + acc2.getBalance()); } We first try to create a BankAccount with a user who does not have the required admin role, and then we do the rest, as before, with an user with the required roles. The output of running this application is: *** Log in as 'guest' - it does not have the correct roles to create an account *** Attempting to create account 1 !!! Expected SecurityException Wrong roles for user *** Log in as 'admin' - the roles are fine for the rest now *** Creating account 1 *** Bank Account constructor *** BankAccount.credit() *** Creating account 2 *** Bank Account constructor *** BankAccount.credit() *** Balance acount 1: 150 *** Balance acount 2: 230 *** Transfer 50 from account 1 to account 2 *** BankAccount.debit() *** BankAccount.credit() *** Balance acount 1: 100 *** Balance acount 2: 280 By using AOP to apply security, we have extracted the security checks into one place in our application, and used annotations to configure that. If we wanted to use a different mechanism of configuring the users we could leave the core application the same, write another aspect and easily change how we use security everywhere by modifying the jboss-aop.xml file. The code for this example can be found in the listing3/ folder of . Observer with Introductions and Mixins Say we want to be able to be notified somehow when BankAccount.balance is changed. An option would be to implement the Observer pattern, but we don't want to include all the Observable plumbing code in our BankAccount class. First of all let's add an annotation to the field we want to monitor. package bank; public class BankAccount { int accountNumber; @Observed int balance; ... } Next we can write an implementation of Observable: package bank; import java.util.ArrayList; import java.util.List; public class ObservableMixin implements Observable { List observers = new ArrayList(); public void addObserver(Observer listener) { observers.add(listener); } public void removeObserver(Observer listener) { observers.remove(listener); } public void notifyObservers(Object event) { for (Observer observer : observers) { observer.update(event); } } } This is a mixin class, which implements the Observable interface. It contains all the plumbing code needed for the Observable part of the pattern. It can be introduced into other POJOs using the following xml bank.Observable bank.ObservableMixin ... This does two things. It makes all classes that have a field annotated with @Observed implement the @Observable interface and implement those methods. Second, when anybody attempts to call the methods from the Observable interface, it delegates all the calls to an instance of the ObservableMixin. Next we have an aspect to trap when the annotated fields change their values bound using the following xml. ... The aspect is an around advice that captures the values before and after modifying the field. package bank; import java.lang.reflect.Field; import org.jboss.aop.joinpoint.FieldWriteInvocation; public class ObserverAspect { public Object fieldChanged(FieldWriteInvocation invocation) throws Throwable { Observable tgt = (Observable)invocation.getTargetObject(); Field fld = invocation.getField(); String fieldName = fld.getName(); fld.setAccessible(true); Object oldVal = invocation.getField().get(tgt); Object result = invocation.invokeNext(); Object newVal = invocation.getField().get(tgt); tgt.notifyObservers("Changed " + fieldName + " from " + oldVal + " to " + newVal); return result; } } Since the classes captured by the pointcut to select which classes should have the ObserverAspect applied are in the set of classes captured by the class expression to pick out classes that should have the Observable introduction and mixin, we can safely cast the target of the invocation to Observable. We then get the values before and after writing the field, and then use the Observable target object to notify the observers. As mentioned the call to Observable.notifyObservers() will end up inside BankAccount's ObservableMixin. Finally, let us modify the Bank.main() method to register an Observer with a BankAccount instance public static void main(String[] args) { System.out.println("*** Creating account 1"); BankAccount acc1 = new BankAccount(1); acc1.credit(150); bankAccounts.put(acc1.getAccountNumber(), acc1); System.out.println("*** Creating account 2"); BankAccount acc2 = new BankAccount(2); acc2.credit(230); bankAccounts.put(acc2.getAccountNumber(), acc2); System.out.println("Installing observer"); ((Observable)acc2).addObserver(new Observer(){ public void update(Object evt) { System.out.println("!!! Observer: " + evt); } }); System.out.println("*** Balance acount 1: " + acc1.getBalance()); System.out.println("*** Balance acount 2: " + acc2.getBalance()); //Transfer some money System.out.println("*** Transfer 50 from account 1 to account 2"); transfer(acc1, acc2, 50); System.out.println("*** Balance acount 1: " + acc1.getBalance()); System.out.println("*** Balance acount 2: " + acc2.getBalance()); } Although until woven the BankAccount class does not implement the Observable interface, the Java compiler does not perform any checks when casting to an interface (only to a superclass), so the cast from BankAccount to Observable will compile. (If the example is run without weaving you would get a ClassCastException since then BankAccount would not implement the Observable interface). When we run this example we can see the registered Observer gets triggered: *** Creating account 1 *** Bank Account constructor *** BankAccount.credit() *** Creating account 2 *** Bank Account constructor *** BankAccount.credit() Installing observer *** Balance acount 1: 150 *** Balance acount 2: 230 *** Transfer 50 from account 1 to account 2 *** BankAccount.debit() *** BankAccount.credit() !!! Observer: Changed balance from 230 to 280 *** Balance acount 1: 100 *** Balance acount 2: 280 The code for this example can be found in the listing5/ folder of . Conclusion We have taken a simple application, added extra behaviour to it using JBoss AOP, and explored a few of the features offered. Apart from adding a few annotations to help with our pointcut expressions (and there are even less intrusive, although more incovenient ways to achieve the similar effect), we have left the core application as is, and added extra cross-cutting behaviour such as logging and security by applying aspects, as well as using a combination of aspects, interface introductions and mixins to implement the Observer pattern. JBoss AOP can be downloaded from http://www.jboss.org/jbossaop/ and comes with a tutorial to get you started.
August 28, 2008
by Kabir Khan
· 85,156 Views · 2 Likes
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EJB 3.0 and Spring 2.5
Why is it that developers from these two communities don't like to see eye to eye? I have been using both Spring from its inception, and EJB's from 2001. Just like everyone else did, I just dreaded the huge amount of XML we had to write for both of these; configuration files in Spring, and deployment descriptors in EJB 2.x. However, Java 5 came to our rescue and now annotations have mostly replaced XML files in both these. But, after having used these two latest versions Spring 2.5 and EJB 3.0, I think that they complement each other, rather than compete with each other. There are certain features which are powerful in Spring, and equal number of features powerful on the EJB side as well. Many developers fail to understand, that Spring is a popular non-standard framework created by Spring Source, while EJB 3.0 is a specification which is supported by major JEE vendors. There are a few developers with whom I have worked earlier, prefer to use standard specification, and they chose EJB2.x/ and are moving now to EJB 3.0. However, there isn't anything stopping you from using Spring along with EJB, is it? The complaint I have heard many times is: We can't use non-standard framework". The same developers who complain about Spring being non-standard use home grown frameworks, which was and will be forever so hard to even decipher. How can it be a specification when a couple of developers write several thousand lines of code? Also, a recent article published here at Javalobby by Adam Bien showed the trend moving towards EJB 3.0, right? Anyway, in this article we will see how by adding a few lines in your Spring configuration file, you can seamlessly use EJB 3.0 components within your Spring application. Back to our EJB 3.0 and Spring 2.5 article, we are going to see how easy and simple it is to access EJB 3.0 components in Spring by using its powerful dependency injection mechanism to inject an instance of our Customer session bean. This Customer session bean, in turn uses the Entity Manager for the CRUD operations on the Customer Entity. Here are the detailed steps: Step 1: Create a simple JPA Entity. The Java Persistence API (JPA) is defined as part of the Java EE 5 specification. Creating entities using JPA is as simple as creating a POJO with a few annotations as shown below: package com.ejb.domain; import java.io.Serializable; import javax.persistence.Column; import javax.persistence.Entity; import javax.persistence.Id; import javax.persistence.Table; /** * * @author meerasubbarao */ @Entity @Table(name = "CUSTOMER", catalog = "", schema = "ADMIN") public class Customer implements Serializable { private static final long serialVersionUID = 1L; @Id @Column(name = "CUSTOMER_ID") private Long customerId; @Column(name = "FIRST_NAME") private String firstName; @Column(name = "LAST_NAME") private String lastName; @Column(name = "MIDDLE_NAME") private String middleName; @Column(name = "EMAIL_ID") private String emailId; public Customer() { } public Customer(Long customerId) { this.customerId = customerId; } public Long getCustomerId() { return customerId; } public void setCustomerId(Long customerId) { this.customerId = customerId; } public String getFirstName() { return firstName; } public void setFirstName(String firstName) { this.firstName = firstName; } public String getLastName() { return lastName; } public void setLastName(String lastName) { this.lastName = lastName; } public String getMiddleName() { return middleName; } public void setMiddleName(String middleName) { this.middleName = middleName; } public String getEmailId() { return emailId; } public void setEmailId(String emailId) { this.emailId = emailId; } } Step 2: Create a EJB 3.0 Session bean. This session beans uses the Entity Manager for the Create Read Update Delete (CRUD) operations for the Customer Entity we created in Step 1. The CRUD opertions are also published as web methods by adding a few basic annotations. The Interface: package com.ejb.service; import com.ejb.domain.Customer; import java.util.Collection; import javax.ejb.Remote; /** * * @author meerasubbarao */ @Remote public interface CustomerService { Customer create(Customer info); Customer update(Customer info); void remove(Long customerId); Collection findAll(); Customer[] findAllAsArray(); Customer findByPrimaryKey(Long customerId); } The Implementation Class: package com.ejb.service; import com.ejb.domain.Customer; import java.util.Collection; import javax.ejb.Stateless; import javax.jws.WebService; import javax.jws.soap.SOAPBinding; import javax.persistence.EntityManager; import javax.persistence.PersistenceContext; import javax.persistence.Query; import javax.jws.WebMethod; /** * * @author meerasubbarao */ @WebService(name = "CustomerService", serviceName = "CustomerService", targetNamespace = "urn:CustomerService") @SOAPBinding(style = SOAPBinding.Style.RPC) @Stateless(name = "CustomerService") public class CustomerServiceImpl implements CustomerService { @PersistenceContext private EntityManager manager; @WebMethod public Customer create(Customer info) { this.manager.persist(info); return info; } @WebMethod public Customer update(Customer info) { return this.manager.merge(info); } @WebMethod public void remove(Long customerId) { this.manager.remove(this.manager.getReference(Customer.class, customerId)); } public Collection findAll() { Query query = this.manager.createQuery("SELECT c FROM Customer c"); return query.getResultList(); } @WebMethod public Customer[] findAllAsArray() { Collection collection = findAll(); return (Customer[]) collection.toArray(new Customer[collection.size()]); } @WebMethod public Customer findByPrimaryKey(Long customerId) { return (Customer) this.manager.find(Customer.class, customerId); } } Step 3. Compile, Package and Deploy to an application server. There are no server specific annotations in either the Entity class or the Session bean. Package the entity class, the session bean interface, implemetation class along with the persistence.xml file in a JAR file. Since I am deploying this application to GlassFish, I am using the default persistence provider which is TopLink. Start your application server, and deploy this JAR to it. The contents of persistence.xml file is as shown below: oracle.toplink.essentials.PersistenceProvider spring-ejb Once your application is deployed, make sure you check the JNDI name of your session bean. In GlassFish, click on the JNDI Browsing toolbar button to view the JNDI names. Step 4: Test the Stateless Session beans. Since my session beans are published as web services, I can just easily test them using either the test page provided by GlassFish application server, or by using SoapUI and make sure that my Customer entity can be persisted using the CustomerService session bean. I am using the default test page provided by Glass Fish for web services: Step 5: Create a Spring Bean. Here, I define a simple CustomerManager interface, and an implementation class; just to show how things are wired using Spring. package com.spring.service; import com.ejb.domain.Customer; /** * * @author meerasubbarao */ public interface CustomerManager { public void addCustomer(Customer customer); public void removeCustomer(Long customerId); public Customer[] listCustomers(); } package com.spring.service; import com.ejb.domain.Customer; import com.ejb.service.CustomerService; /** * * @author meerasubbarao */ public class CustomerManagerImpl implements CustomerManager { CustomerService customerService; public void setCustomerService(CustomerService customerService) { this.customerService = customerService; } public void removeCustomer(Long customerId) { customerService.remove(customerId); } public Customer[] listCustomers() { return customerService.findAllAsArray(); } public void addCustomer(Customer customer) { customerService.create(customer); } } Step 6: Injecting the EJB 3.0 Session bean into our Spring Beans. As seen above, I am using setter injection to inject an instance of Customer Service and in turn invoke a method on the Stateless session bean. How do we inject an EJB into a Spring bean? It is quite simple as shown below in the Spring configuration file: The most important aspect here is the wiring of the EJB within the Spring configuration using the element in the jee schema. Next, we need to wire this with our Spring bean which is done as shown below: Step 7: Test How do we know that it works. Lets create a simple class and test. package com.spring.client; import com.ejb.domain.Customer; import com.spring.service.CustomerManager; import org.springframework.context.ApplicationContext; import org.springframework.context.support.ClassPathXmlApplicationContext; public class SpringAndEJBMain { public static void main(String[] args) { ApplicationContext context = new ClassPathXmlApplicationContext("SpringXMLConfig.xml"); CustomerManager service = (CustomerManager) context.getBean("manageCustomer"); Customer customer = new Customer(); customer.setFirstName("Meera"); customer.setLastName("Subbarao"); customer.setMiddleName("B"); customer.setEmailId("[email protected]"); customer.setCustomerId(new Long(1)); service.addCustomer(customer); for (Customer cust : service.listCustomers()) { System.out.println(cust.getFirstName()); System.out.println(cust.getLastName()); System.out.println(cust.getMiddleName()); System.out.println(cust.getEmailId()); } service.removeCustomer(new Long(1)); } } And here is the sample output from my IDE: We can go back to our GlassFish web services test page, and test the findAll method. It should have two entities. In this article, we saw how quick and easy it was to create JPA entities, persist them using Entity Manager from within our session bean. We also saw how easy it was to publish web services by adding a few annotations to our session beans. Next, we saw how to create a simple Spring bean, inject our session bean, and finally call methods on this session bean from our Spring application. Spring isn't in my opinion a replacement for EJB 3.0, you can mix and match EJB 3.0 and Spring 2.5 components to get the best of both.
August 27, 2008
by Meera Subbarao
· 76,221 Views
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Introduction to REST
The bulk of my career has been spent working with and implementing distributed middleware. In the mid-90's I worked for the parent company of Open Environment Corporation working on DCE tools. Later on, I worked for Iona developing their next generation CORBA ORB. Currently, I work for the JBoss division of Red Hat, which is entrenched in Java middleware. So, you could say that I have a pretty rich perspective when it comes to middleware. Over a year ago, I became exposed to a new way of writing Web Services called REST. REST is about using the principles of the World Wide Web to build applications. REST stands for REpresentational State Transfer and was first defined within a PhD thesis by Roy Fielding. REST is a set of architectural principles which ask the following questions: Why is the World Wide Web so prevalent and ubiquitous? What makes the Web scale? How can I apply the architecture of the Web to my own applications? While REST has many similarities to the more traditional ways of writing SOA applications, in many important ways it is very different. You would think that my background would be an asset to understanding this new way of creating web services, but unfortunately this was not the case. The reason is that some of the concepts of REST are hard to swallow, especially if you have written successful SOAP or CORBA applications. If your career has a foundation in one of these older technologies, there's a bit of emotional baggage you will have to overcome. For me, it took a few months and a lot of reading. For you, it may be easier. For others, they will never pick REST over something like SOAP and WS-*. I just ask that you keep an open mind and do some research if I fail to convince you that REST is an intriguing alternative to WS-*. So... RESTful Architectural Principles REST isn't protocol specific, but when people talk about REST they usually mean REST over HTTP. Technologies like SOAP use HTTP strictly as a transport protocol and thus use a very small subset of its capabilities. Many would say that WS-* uses HTTP solely to tunnel through firewalls. HTTP is actually a very rich application protocol which gives us things like content negotiation and distributed caching. RESTful web services try to leverage HTTP in its entirety using specific architectural principles. What are those RESTful principles? Addressable Resources. Every “thing” on your network should have an ID. With REST over HTTP, every object will have its own specific URI. A Uniform, Constrained Interface. When applying REST over HTTP, stick to the methods provided by the protocol. This means following the meaning of GET, POST, PUT, and DELETE religiously. Representation oriented. You interact with services using representations of that service. An object referenced by one URI can have different formats available. Different platforms need different formats. AJAX may need JSON. A Java application may need XML. Communicate statelessly. Stateless applications are easier to scale. Let's go into more detail on each of these individual principles. Addressability Addressability is the idea that every object and resource in your system is reachable through a unique identifier. This seems like a no-brainer, but, if you think about it, standardized object identity isn't available in many environments. If you have tried to implement a portable J2EE application you probably know what I mean. In J2EE, distributed and even local references to services are not standardized so it make portability really difficult. This isn't such a big deal for one application, but with the new popularity of SOA, we're heading to a world where disparate applications must integrate and interact. Not having something as simple as service addressability standardized adds a whole complex dimension to integration efforts. In the REST world, addressability is addressed through the use of URIs. URIs are standardized and well-known. Anybody who has ever used a browser is familiar with URIs. From a URI we know the object's protocol. In other words, we know how to communicate with the object. We know its host and port or rather, where it is on the network. Finally, we know the resource's path on its host, which is its identity on the server it resides. Using a unique URI to identify each of your services make each of your resources linkable. Service references can be embedded in documents or even emails. For instance, consider the situation where somebody calls your company's help desk with a problem with your SOA application. They can email a link to the developers on what exact service there was problems with. Furthermore, the data which services publish can also be composed into larger data streams fairly easily. Figure 1-1 http://customers.myintranet.com/customers/32133 5 http://products.myintranet.com/products/111 ... In this example, we have an XML document that describes a e-commerce order entry. We can reference data provided by different divisions in a company. From this reference we can not only obtain information about the linked customer and products that were bought, but we also have the identifier of the service this data comes from. We know exactly where we can further interact and manipulate this data if we so desired. The Uniform, Constrained Interface The REST principle of a constrained interface is perhaps the hardest pill for an experienced CORBA or SOAP developer to swallow. The idea behind it is that you stick to the finite set of operations of the application protocol you're distributing your services upon. For HTTP, this means that services are restricted to using the methods GET, PUT, DELETE, and POST. Let's explain each of these methods: GET is a read only operation. It is both an idempotent and safe operation. Idempotent means that no matter how many times you apply the operation, the result is always the same. The act of reading an HTML document shouldn't change the document. Safe means that invoking a GET does not change the state of the server at all. That, other than request load, the operation will not affect the server. PUT is usually modeled as an insert or update. It is also idempotent. When using PUT, the client knows the identity of the resource it is creating or updating. It is idempotent because sending the same PUT message more than once has no affect on the underlying service. An analogy is an MS Word document that you are editing. No matter how many times you click the “save” button, the file that stores your document will logically be the same document. DELETE is used to remove services. It is idempotent as well. POST is the only non-idempotent and unsafe operation of HTTP. It is a method where the constraints are relaxed to give some flexibility to the user. In a RESTFul system, POST usually models a factory service. Where with PUT you know exactly which object you are creating, with POST you are relying on a factory service to create the object for you. You may be scratching your head and thinking, “How is it possible to write a distributed service with only 4 methods?” Well... SQL only has 4 operations: SELECT, INSERT, UPDATE, and DELETE. JMS and other MOMs really only have two: send and receive. How powerful are both of these tools? For both SQL and JMS, the complexity of the interaction is confined purely to the data model. The addressability and operations are well defined and finite and the hard stuff is delegated to the data model (in SQL's case) or the message body(JMS's case). Why is the Uniform Interface Important? Constraining the interface for your web services has many more advantages than disadvantages. Let's look at a few: Familiarity If you have a URI that points to a service you know exactly what methods are available on that resource. You don't need a IDL-like file describing what methods are available. You don't need stubs. All you need is an HTTP client library. If you have a document that is composed of links to data provided by many different services, you already know what method to call to pull in data from those links. Interoperability HTTP is a very ubiquitous protocol. Most programming languages have an HTTP client library available to them. So, if your web service is exposed via REST, there is a very high probably that people that want to use your service will be able to without any additional requirements beyond being able to exchange the data formats the service is expecting. With CORBA or WS-* you have to install vendor specific client libraries. How many of you have had the problem of getting CORBA or WS-* vendors to interoperate? It has traditionally been very problematic. The WS-* set of specifications have also been a moving target over the years. So with WS-* and CORBA, you not only have to worry about vendor interoperability, you have to make sure that your client and server are using the same specification version. With REST over HTTP, you don't have to worry about either of these things and can just focus on understanding the data format of the service. I like to think that you are focusing on what is really important: application interoperability, rather than vendor interoperability. Scalability Because REST constrains you to a well-defined set of methods, you have predictable behavior which can have incredible performance benefits. GET is the strongest example. Because GET is a read method that is both idempotent and safe, browsers and HTTP proxies can cache responses to servers which can save a huge amount of network traffic and hits to your website. Add the capabilities of HTTP 1.1's Cache-Control header, and you have a incredibly rich way of defining caching policies for your services. It doesn't end with caching though. Consider both PUT and DELETE. Because they are idempotent, the client, nor the server have to worry about handling duplicate message delivery. This saves a lot of book keeping and complex code. Representation Oriented The third architectural principle of REST is that your services should be representation oriented. Each service is addressable through a specific URI and representations are exchanged between the client and service. With a GET operation you are receiving a representation of the current state of that resource. A PUT or POST passes a representation of the resource to the server so that the underlying resource's state can change. In a RESTful system, the complexity of the client-server interaction is within the representations being passed back and forth. These representations could be XML, JSON, YAML, or really any format you can come up with. One really cool thing about HTTP is that it provides a simple content negotiation protocol between the client and server. Through the Content-Type header, the client specifies the representation's type. With the Accept header, the client can list its preferred response formats. AJAX clients can ask for JSON, Java for XML, Ruby for YAML. Another thing this is very useful for is versioning of services. The same service can be available through the same URI with the same methods (GET, POST, etc.), and all that changes is the mime type. For example, the mime type could be “application/xml” for an old service while newer services could exchange “application/xml;schemaVersion=1.1” mime types. All and all, because REST and HTTP have a layered approach to addressability, method choice, and data format, you have a much more decoupled protocol that allows your service to interact with a wide variety of different clients in a consistent way. Communicate Statelessly The last RESTful principle I will discuss is the idea of statelessness. When I talk about statelessness though, I don't mean that your applications can't have state. In REST, stateless means that there is no client session data stored on the server. The server only records and manages the state of the resources it exposes. If there needs to be session specific data, it should be held and maintained by the client and transfered to the server with each request as needed. A service layer that does not have to maintain client sessions is a lot easier to scale as it has to do a lot less expensive replications in a clustered environment. Its a lot easier to scale up as all you have to do is add machines. A world without server maintained session data isn't so hard to imagine if you look back 12-15 years ago. Back then many distributed applications had a fat GUI client written in Visual Basic, Power Builder, or Visual C++ talking RPCs to a middle-tier that sat in front of a database. The server was stateless and just processed data. The fat client held all session state. The problem with this architecture was an operations one. It was very hard for operations to upgrade, patch, and maintain client GUIs in large environments. Web applications solved this problem because the applications could be delivered from a central server and rendered by the browser. We started maintaining client sessions on the server because of the limitations of the browser. Now, circa 2008, with the growing popularity of AJAX, Flex, and Java FX, the browsers are sophisticated enough to maintain their own session state like their fat-client counterparts in the mid-90s used to do. We can now go back to that stateless scalable middle tier that we enjoyed in the past. Its funny how things go full circle sometimes. Conclusion REST identifies the key architectural principles of why the World Wide Web is so prevalent and scalable. The next step in the evolution of the web is to apply these principles to the semantic web and the world of web services. REST offers a simple, interoperable, and flexible way of writing web services that can be very different than the RPC mechanisms like CORBA and WS-* that so many of us have had training in. This article is the first of a two part series. In this article I wanted to introduce you to the basic concepts of REST. In my next article “Putting Java to REST”, we will build a very simple RESTful service in Java using the new JCP standard JAX-RS. In other words, you'll get to see the theory being put into action. Until then, I urge you to read more about REST. Below are some interesting links. Read Part II of this series: Putting Java to REST Links O'Reilly's "RESTful Web Services" book Addressing Doubts about REST The REST WIKI About the Author Bill Burke is an engineer and Fellow at the JBoss division of Red Hat. He blogs regularly at bill.burkecentral.com.
August 18, 2008
by Bill Burke
· 85,842 Views · 12 Likes
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The Concept of Mocking
Explore the importance of mocking, including mock objects.
August 16, 2008
by Michael Minella
· 65,359 Views · 5 Likes
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Creating SOAP Message Handlers in 3 Simple Steps - Part 1
This tutorial takes a look at SOAP Message handlers and how easy it is to write handlers using JAX-WS 2.0. JAX-WS 2.0 allows both regular Java classes and stateless EJBs(Session beans) to be exposed as web services. The JAX-WS 2.0 is the core specification that defines the web services standard for Java EE 5 specification. JAX-WS 2.0 is an extension of the Java API for XML-RPC (JAX-RPC) 1.0. SOAP message handlers are used to intercept the SOAP message as they make their way from the client to the end-point service and vice-versa. These handlers intercept the SOAP message for both the request and response of the Web Service. If you are familiar with EJB interceptors, handlers are similar to EJB interceptors and are defined in an XML file. A few typical scenarios where you would be using SOAP Message handlers are: to encrypt and decrypt messages, to support logging, caching and in some cases auditing, and in rare cases to provide transaction management as well. So much for the theory. Lets see the three basic steps to use a simple log handler to intercept and print our SOAP messages (request and response). In this tutorial, we are going to expose an EJB 3 stateless session bean as a web service which is simple and can be done by adding the @WebService annotation. So, here comes the source code for the interface as well as the implementation class which is self explanatory: Listing 1: Remote Interface package com.ws;import javax.ejb.Remote;/** * * @author meerasubbarao */@Remotepublic interface HelloWebServiceRemote { String sayHello(String name); } Listing 2: Bean Implementation package com.ws;import javax.ejb.Stateless;import javax.jws.WebMethod;import javax.jws.WebParam;import javax.jws.WebService;/** * * @author meerasubbarao */@WebService@Statelesspublic class HelloWebServiceBean implements HelloWebServiceRemote { @WebMethod(operationName = "sayHello") public String sayHello(@WebParam(name = "name") String name) { return "Hello " + name; } } You can package the two source files in a jar, deploy to your application server, and test it. Quite simple, right? For this tutorial, I am using GlassFish V2 application server and SoapUI to test my web services. Shown below are the request and response from SoapUI: Now that we know our web services work, lets start writing the message handler, which as I said earlier is just 3 steps. So, what are these SOAP message handlers? They are simple Java classes that can used to modify SOAP messages; both request as well as response. These handlers have access to both the SOAP header as well as the body of the message. Lets move on to create SOAP message handlers: Step 1. Implement the SOAPHandler interface. package com.ws;import java.io.IOException;import java.util.Collections;import java.util.Set;import java.util.logging.Level;import java.util.logging.Logger;import javax.xml.namespace.QName;import javax.xml.soap.SOAPException;import javax.xml.soap.SOAPMessage;import javax.xml.ws.handler.MessageContext;import javax.xml.ws.handler.soap.SOAPHandler;import javax.xml.ws.handler.soap.SOAPMessageContext;/** * * @author meerasubbarao */public class LogMessageHandler implements SOAPHandler { public boolean handleMessage(SOAPMessageContext messageContext) { return true; } public Set getHeaders() { return Collections.EMPTY_SET; } public boolean handleFault(SOAPMessageContext messageContext) { return true; } public void close(MessageContext context) { } The handleMessage() method is invoked for both incoming as well as outgoing messages. Lets add a new method called log() and invoke this method from the handleMessage method. Shown below are both the methods: private void log(SOAPMessageContext messageContext) { SOAPMessage msg = messageContext.getMessage(); //Line 1 try { msg.writeTo(System.out); //Line 3 } catch (SOAPException ex) { Logger.getLogger(LogMessageHandler.class.getName()).log(Level.SEVERE, null, ex); } catch (IOException ex) { Logger.getLogger(LogMessageHandler.class.getName()).log(Level.SEVERE, null, ex); } } In line 1, we are retrieving the SOAPMessage from the message context. Line 3 will print the incoming and outgoing messages in our GlassFish console. Invoke this method from within the handleMessage() as shown: public boolean handleMessage(SOAPMessageContext messageContext) { log(messageContext); return true; } Step 2: Create the XML file for the Handler Chain. Create this XML file in the same package as the web service with the name LogMessage_handler.xml. com.ws.LogMessageHandler com.ws.LogMessageHandler Lets take a close look at the various elements used above: 1. is the root element that will contain a list of all handler chains that are defined for the Web Service. 2. The child element of the element lists all the handlers in the handler chain. 3. Within the element is defined the , each handler element must in turn specify the name and also the fully qualified name of the Java class that implements the handler. If you have more than one handler, specify each one of them within the handler-chain element. Step 3: Invoking the Handler The @HandlerChain annotation is used to define a set of handlers that are invoked in response to a SOAP message. So, within our HelloWebServiceBean implementaion, you need to make a simple change to invoke the Log Handler as shown below in Line 1: package com.ws;import javax.ejb.Stateless;import javax.jws.HandlerChain;import javax.jws.WebMethod;import javax.jws.WebParam;import javax.jws.WebService;/** * * @author meerasubbarao */@WebService@Stateless@HandlerChain(file = "LogMessage_handler.xml") // Line 1public class HelloWebServiceBean implements HelloWebServiceRemote { @WebMethod(operationName = "sayHello") public String sayHello(@WebParam(name = "name") String name) { return "Hello " + name; } } We added the annotation for the handlers; lets recompile, repackage and redeploy the application. Now invoke the web service from SoapUI and see if it works. If it does, we should be able to see the request and response logged in our GlassFish console window. Here is the final output: **RemoteBusinessJndiName: com.ws.CustomerManagerRemote; remoteBusIntf: com.ws.CustomerManagerRemote LDR5010: All ejb(s) of [EJBWebServices] loaded successfully! Javalobby Hello Javalobby In this article, we saw how simple and easy it was to create and use SOAP Handlers to intercept request and response of SOAP messages. We implemented the SOAPHandler interface, wrote minimal XML to define the handler chain, and finally added one simple annotation to the web service implementation class. We were also able to test these web service using SoapUI. In Part 2 of this series, we will see how to actually parse the SOAP Headers, and also use multiple handlers. Stay tuned for more..
August 13, 2008
by Meera Subbarao
· 86,114 Views
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Service-Orientation vs. Object-Orientation: Understanding the Impedance Mismatch
Object-oriented programming languages and techniques provide a powerful means for designing and building applications. These techniques do not always translate well into a service oriented paradigm. Service orientation demands a different set of design guidelines and requirements than an object-oriented application. Understanding how an object-oriented design can negatively impact a service-oriented design is key to building services that support an agile enterprise. This article examines where the two designs impact each other as well as methods for addressing the incompatibilities between the two while still leveraging the power of both. by Larry Guger Introduction Object orientation is a good thing. I would like to believe that I write code in a well-defined object oriented manner, taking advantage of all the goodness that is provided, such as encapsulation, polymorphism and inheritance. These are important concepts that make modern software applications easier to develop, enhance and maintain. I’m sold. Service-orientation is a good thing too. As the industry moves toward service-orientation we naturally take along a lot of what we have learned over the years and apply this to the new way of doing things. Visual Studio, the .NET framework, and especially Windows Communication Foundation (WCF) support the development of service-oriented applications. This was one of the core design goals behind WCF, but moving from object-oriented design techniques to service-oriented design techniques is not without its challenges. Part of the reason can be apportioned towards the tooling. We have very mature tools to support object-oriented design and development but fewer tools that emphasize service-oriented design. This is partly because we, as an industry, are still really figuring out what service-orientation really means. This article explores what I am referring to as the “impedance mismatch” between the two design paradigms. Note: Most of the concepts and ideas presented are not specific to .NET or Visual Studio until I refer to the namespace generation problem later in the discussion (as it manifests itself in Visual Studio). However, it is worth noting that this problem can present itself on any platform. Designing an OO System Here is an example of one model that would make sense in the object-oriented world: Figure 1 Figure 1 is a simplified model designed to support some form of purchasing functionality provided by the application. A customer contains a mailing address and a shipping address and the customer can also hold many contracts with the company that is supplying products. The customer is able to place orders against these contracts with any given order containing one or more line items each of which is an order for a product. In addition, the model permits the developer to navigate from a PurchaseOrder object to the Contract under which the order was placed by using an object reference. Likewise, a Contract will contain a collection of all of the PurchaseOrders placed under it. This model is also repeated between the Customer and its Contracts as well as PurchaseOrders and OrderLineItems. We now have a nice object model that permits navigation between related objects in any direction. Service Enablement In a distributed computing environment such as is found in almost every enterprise today there is a business logic/service tier that resides on some central server farm that exposes services for working with the contained business functionality. This service tier is accessed by a client tier, whether the client is a Web application, a rich client application or a B2B service implementation. To support the object model above, one can imagine a collection of services that are targeted at a handful of business needs: customer services, contract services and order services. Each of these services has its own endpoint with a few methods to support working with each of the primary business types identified. To be specific, a service could be developed to support working with customer data that would contain methods such as CreateCustomer, SearchCustomers, and GetCustomer. Each of these methods would either accept or return customer objects and if you retrieved a customer object using the GetCustomer service you could inspect the contracts that the customer has as well as the orders placed under each contract. Chances are that if you retrieved a customer using the GetCustomer method you would not be getting the populated contract objects along with it at that time. You would need to make additional calls to retrieve individual contracts and associated orders if that was the information you were after. The same concept should hold for working with contracts or orders. As you can see, the object hierarchy is maintained. Assuming that this is the approach taken and the GetCustomer method returns a serialized object of type Customer once that customer object is deserialized in the client application it is easy enough to create contract objects, attach them to the contracts collection on the customer and create order objects and attach them to the contract objects and we have the same object oriented goodness on the client as we have on the server. This is a standard approach when first building service enabled applications. Unfortunately this does not work well for service-oriented applications that are intended to be reused throughout the enterprise for other purposes beyond the initial application. Here’s why. Service Referencing Let’s think about developing the client side portion of our application, whether it is a web, WinForms or WPF application does not matter. To begin, we create a user interface for dealing with all things related to customers. We can create new customers, modify existing ones and search for customers based on various criteria. Once we have the user interface defined we add a service reference, using Visual Studio, to our previously created service which in turn generates our classes and proxies. We instantiate objects, add data supplied by the user and submit these objects to our services. Pretty standard stuff. Next we move on to developing the portion of the user interface that deals with contracts. We follow the same pattern and things are working well until we get to a namespace collision. When we added a reference to the customer related service, Visual Studio generated code for the classes that make up the return types and the request types our service supports. This will include all of the serializable types in the customer object graph. When we add a reference to the contract service, Visual Studio will generate the code for the classes that make up the return and request types that this service supports. This will also include all of the serializable types in the contract object graph. In other words we end up with generated code for all of the classes described above twice! This is because each reference generates the classes in a distinct namespace. Even if you use the same reference name Visual Studio will alter them slightly to make them distinct. For example if both the first and second service references are given the name “localhost”, Visual Studio will append a “1” to the end of the first reference making the namespace begin with “localhost1”. You now have two Customer classes, localhost.Customer and localhost1.Customer, as well as two of every class in the respective object graphs. Now your code is duplicated and stored in different types. You cannot create an instance of a localhost.Customer object and assign it to a variable of type localhost1.Customer. Not only do you not get object compatibility but you also end up with a whole bunch of equivalent classes under different namespaces. There are a few commonly used ways to deal with this problem: 1. Add a reference to the assembly that contains your objects to your UI projects, and alter the service references to use that/those assemblies rather than generating the code. 2. Alter the generated code to remove the duplicates. 3. Alter the code generation process to reference the assemblies containing your data objects. 4. Develop mapping code to translate from one type to another. There are challenges with all of these. The first and third options may not be possible if you don’t have access to the assemblies, perhaps you are referencing services that you did not develop, and perhaps the objects contain code that shouldn’t reside on the UI side of things such as database access logic. The second option is simply fraught with perils as the code will be updated and need re-altering after every reference update, and if this is in mid development there may be many updates. The fourth option adds extra work and who needs extra work? The Service-oriented Approach The correct approach is to avoid these problems completely when developing your services. Here’s how. A Customer service should know about customers and data directly related to a customer only. Your Customer service methods should return a slightly different object graph than the object graph defined above. You will still have the customer object and you will still have the addresses for that customer but that’s it. Break the graph at the collection of contracts. When the client requires the contracts for a customer they need to submit a request to the Contract service asking for the contracts for a particular customer. This should actually be the same approach regardless of the object graph in use. Whether the customer explicitly asks for the contracts or the system hides the implementation details and makes the call to retrieve contracts are simply implementation details. The fact that the object graph does not contain direct links to the contracts would not impact the user experience. Let me explain. Regardless of the size of the object graph in use it should be a rare case in which the entire graph is populated and returned by a service call. Generally you will find that only a portion of the objects are in use for any given user action. To minimize the amount of data that is sent over a network only the relevant objects should be populated and returned. The code that is developed on the client side takes the responsibility for calling the appropriate services to populate further objects in the graph as the user requests them - this is often termed “lazy loading”. The goal of “lazy loading” is to retrieve only the data that is required so as to improve performance of the application. In fact, the simplified object graph better supports this design approach than the more complex graph does. With the complex graph, if you have a Contract object and need to perform some work with the related Customer for that contract you still need a sparsely populated Customer object that contains, at a minimum, the customer Id that can be used to retrieve the full customer object from the service. With the simplified graph the Contract class contains a customer Id directly. The relations between the objects are still maintained, however with the simplified version the relationships are more explicit than implicit, as they are with the complex version. To bring this back to the user experience, the user should not know whether the underlying code has been developed using the simplified or complex graph. They should be able to navigate from a contract to the related customer just as easily. It is up to you, the developer, to make this experience seemless. Figure 2 Again the object graph is kept simple as shown in Figure 2. As with the customer, contracts would not maintain a full customer object reference as part of the contract definition on the client side of the equation. A Contract object passed from the service would consist of only itself, no customer, and no PurchaseOrders. In place of the customer reference each contract object would maintain the customer identifier so as to be able to uniquely identify which customer the contract belongs to and provide the means to “navigate” to the customer object when required. As a side note, when requesting the collection of contracts for any given customer the collection of data returned should only consist of enough data in each object to uniquely identify the contract being sought, whether these objects are sparsely populated contract objects or a “light” version of the contract class does not really matter. You can then query for the full contract object based on the unique identifier that would be part of the collection of query results from the first request that returned the collection. Again, these are implementation details that are hidden from the user experience and need to be determined based on application needs. The End Result The end results of using this approach are: • Returned result data is kept to the relevant bits. Even though this goal can still be achieved with a more complex object graph this approach enforces it. • When adding a service reference using tools like Visual Studio the generated classes have a smaller object graph which avoids having multiple identical classes in different namespaces. • Cleaner separation of duties. Once you have adjusted to using this approach you will find that you need to create a mapping layer just behind the services - to map to and from the interfaces exposed by the services and your more complex object graphs. Either that or you can use simpler object graphs on the server side. However, these simple object graphs may not provide the functionality needed by the consumer of the service, especially if the consumer is a rich client application. In that case, a more complex object model can be designed and mapped to the simpler objects returned by the service. This keeps the service architecture simple while allowing the ability to use all of the OO principles that we’ve learned over the years. When it’s not needed, the simpler objects can simply be used as is with no additional work required. By keeping the server side object graphs at the same simplicity as the service interfaces you will find that your code becomes cleaner, more modular, your classes become more cohesive and there is less coupling between your objects. In addition, the flexibility to reuse the customer service with other services which rely on customer information, but are sourced from a different repository, is easier to achieve. Merging multiple customer data systems into a single customer service also becomes much easier if the customer data is de-coupled from any other data. This now leads to a potential increase in service-orientation reuse, and a happier enterprise. Conclusion Both object oriented and service-oriented design and develop techniques have their place in modern systems development. Object oriented systems fit well in a stateful environment while a service-oriented approach requires a stateless environment. There is nothing wrong with the strong object oriented approach as described at the start of this paper however it will not serve you well if you try and expose those object graphs through a service. With years of OO experience it’s easy to fall into OO design by default, but when designing systems we need to shift our mindset and think about what we are designing for. If it’s an SOA system, a traditional OO approach may not be the best. The tight coupling will get you in trouble as you expand the reach and reuse of your services throughout your enterprise. Keep the interfaces into your services simple and focused and you will find that your services become much easier to manage and become much more scalable. To summarize, OO is, by its nature, stateful while SOA is, by its nature, stateless. This is where the impedance mismatch shows itself.
July 31, 2008
by Masoud Kalali
· 43,918 Views
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Compute Grids vs. Data Grids
in a nutshell, grid computing is a way to distribute your computations across multiple computers (nodes). however, even jms does that, but jms is not a grid computing product - it's a messaging protocol. to correctly classify grid computing products we have to split them into 2 categories: compute grids and data grids. compute grid compute grids allow you to take a computation, optionally split it into multiple parts, and execute them on different grid nodes in parallel. the obvious benefit here is that your computation will perform faster as it now can use resources from all grid nodes in parallel. one of the most common design patterns for parallel execution is mapreduce . however, compute grids are useful even if you don't need to split your computation - they help you improve overall scalability and fault-tolerance of your system by offloading your computations onto most available nodes. some of the "must have" compute grid features are: automatic deployment - allows for automatic deployment of classes and resources onto grid without any extra steps from user. this feature alone provides one of the largest productivity boosts in distributed systems. users usually are able to simply execute a task from one grid node and as task execution penetrates the grid, all classes and resources are also automatically deployed. topology resolution - allows to provision nodes based on any node characteristic or user-specific configuration. for example, you can decide to only include linux nodes for execution, or to only include a certain group of nodes within certain time window. you should also be able to choose all nodes with cpu loaded, say, under 50% that have more than 2gb of available heap memory. collision resolution - allows users to control which jobs get executed, which jobs get rejected, how many jobs can be executed in parallel, order of overall execution, etc. load balancing - allows to balance properly balance your system load within grid. usually range of load balancing policies varies within products. some of the most common ones are round robin, random, or adaptive. more advanced vendors also provide affinity load balancing where grid jobs always end up on the same node based on job's affinity key. this policy works well with data grids described below. fail-over - grid jobs should automatically fail-over onto other nodes in case of node crash or some other job failure. checkpoints - long running jobs should be able to periodically store their intermediate state. this is useful for fail-overs, when a failed job should be able to pick up its execution from the latest checkpoint, rather than start from scratch. grid events - a querying mechanism for all grid events is essential. any grid node should be able to query all events that happened on remote grid nodes during grid task execution. node metrics - a good compute grid solution should be able to provide dynamic grid metrics for all grid nodes. metrics should include vital node statistics, from cpu load to average job execution time. this is especially useful for load balancing, when the system or user need to pick the least loaded node for execution. pluggability - in order to blend into any environment a good compute grid should have well thought out pluggability points. for example, if running on top of jboss, a compute grid should totally reuse jboss communication and discovery protocols. data grid integration - it is important that compute grid are able to natively integrate with data grids as quite often businesses will need both, computational and data features working within same application. some compute grid vendors: - gridgain - professional open source - jppf - open source data grid data grids allow you to distribute your data across the grid. most of us are used to the term distributed cache rather than data grid (data grid does sound more savvy though). the main goal of data grid is to provide as much data as possible from memory on every grid node and to ensure data coherency. some of the important data grid features include: data replication - all data is fully replicated to all nodes in the grid. this strategy consumes the most resources, however it is the most effective solution for read-mostly scenarios, as data is available everywhere for immediate access. data invalidation - in this scenario, nodes load data on demand. whenever data changes on one of the nodes, then the same data on all other nodes is purged (invalidated). then this data will be loaded on-demand the next time it is accessed. distributed transactions - transactions are required to ensure data coherency. cache updates must work just like database updates - whenever an update failed, then the whole transaction must be rolled back. most data grid support various transaction policies, such as read committed, write committed, serializable, etc... data backups - useful for fail-over. some data grid products provide ability to assign backup nodes for the data. this way whenever a node crashes, the data is immediately available from another node. data affinity/partitioning - data affinity allows you to split/partition your whole data set into multiple subsets and assign every subset to a grid node. in the purest form, data is not replicated between nodes at all, every node is only responsible for it's own subset of data. however, various data grid products may provide different flavors of data affinity, such as replication only to back up nodes for example. data affinity is one of the more advanced features, and is not provided by every vendor. to my knowledge, according to product websites, out of commercial vendors oracle coherence and gemstone have it (there may be others). in professional open source space you can take a look at combination of gridgain with affinity load balancing and jbosscache . some data grid/cache vendors: - oracle coherence - commercial - gemstone - commercial - gigaspaces - commercial - jbosscache - professional open source - ehcache - open source
July 31, 2008
by Dmitriy Setrakyan
· 28,500 Views · 3 Likes
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Generate Constructor, Getters and Setters in NetBeans PHP IDE
Petr Pisl is the lead engineer of the PHP work scheduled for NetBeans IDE 6.5. Here he shares an update on some of the latest work that's been done in this area. -- Geertjan Wielenga, NetBeans Zone leader This morning I have committed a feature to the NetBeans PHP support that will be part of NetBeans IDE 6.5, which offers generating of constructor, getters and setters in a PHP class. To invoke the functionality, the caret position has to be inside a PHP class and you have to press shortcut ALT+Insert (CTLRL+I on Mac). After invoking the shortcut, all possible generators are offered. Let's explain on a simple example. I have very simple PHP class, where I have only two properties - $name and $age. At first I want to add constructor. After pressing ALT+Insert (CTLRL+I on Mac), the constructor generator is offered - Constructor... item in the Generate menu. After invoking this item, the Generate Constructor dialog is displayed. There I can choose parameters of the constructor. It is possible to chose any property, then the constructor is generated without any parameter and empty. If I check / uncheck the User class, then all properties are selected / unselected. For my demonstration I have chose $name property. After pressing OK button, the constructor with one parameter is generated. Now I want to generate getter for the $name. After invoking Generate menu, you can notice that the Constructor... item is not offer anymore, because the class already has a constructor. I choose Getter... item and Generate Getters dialog is displayed. In the dialog you can choose, for which properties you want to generate getters. Again you can check / uncheck the class node, which selects / unselects all properties. As the next step I want to generate getter and setter for $age property. After choosing Getter and Setter... item in Generate menu, the dialog offers only $age property, because only this property has neither getter nor setter. When I invoke Generate menu after creating getter and setter for $age property, only setter generator is offered, because there is not defined only setter for $name property. The generate functionality is designed that you can work just with the keyboard and you don't have to use mouse. From: http://blogs.sun.com/netbeansphp
July 30, 2008
by Petr Pisl
· 108,092 Views
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IntelliJ Keymap for NetBeans IDE
Have been using IntelliJ for about 5 years now. It is still the Roll Royce of all IDEs, and of that there is no doubt. But having said that, you should once in a while jump the ship, and try out something different and it is with this intention that I am currently trying out NetBeans IDE 6.1. I was a NetBeans IDE user starting from its “Forte for Java” days to about 2003, and did also develop some plugins on it. So it feels great to be back home. Well not quite. Though NetBeans IDE has now added almost every trick in the bag, it is still challenging even for a veteran, to pick up from where they left off. To ease this pain of transition, here is the link to an IntelliJ Key Map, which when applied to NetBeans IDE, will make it feel more like IntelliJ to you. If you find yourself pressing CTRL+ALT+L, CTRL+ALT+O and CTRL+F12, this keymap will be a real time saver. From: IntelliJ Keymap for NetBeans
July 14, 2008
by Swapnonil Mukherjee
· 10,995 Views
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First Release of Nuxeo WebEngine
WebEngine relies on the Nuxeo content infrastructure (OSGi runtime, component architecture, document repository, ECM services, etc.) to provide a component-based programing model and a web development model for building componentized content-centric applications (such as wikis, blogs, content-oriented websites, etc.). Summary: WebEngine is a lightweight, versatile, content-centric, open source web framework to quickly build and deliver next generation content-oriented web applications. WebEngine relies heavily on the REST paradigm: URLs are mapped to the hierarchical content repository, content is accessed using GETs, user actions are GETs and POSTs, etc. Hence it’s very easy and straightforward to write RESTful apps using WebEngine. WebEngine is fully extensible and componentized, thanks to OSGi (all components are OSGi bundles) and Nuxeo Runtime’s extension points. WebEngine can run either standalone (with startup time <4s) using the Nuxeo Runtime launcher and the embedded Jetty 6, or in a full-blown Java EE app server such as JBoss. WebEngine can also be connected to any Nuxeo EP instance (and Nuxeo Core repository) and be used to expose / publish its content to the web. (click to run the slideshow) Features highlights: Scripting (Groovy, JavaScript, Ruby, Python…) or Java code for business logic Advanced content model Leverage Nuxeo Platform’s ECM services Smart URLs management Powerful templating (based on the FreeMarker engine) Wikitext renderer (using Wikimodel) Open source under the LGPL license Join the community! Download it and give it a try Check out the presentation on SlideShare Read the reference documentation Join the discussion to get help and give feedback on the forums Learn how WebEngine fits in the overall Nuxeo roadmap and… Contribute]! :-)
July 11, 2008
by Stefane Fermigier
· 1,416 Views
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