Live from JavaOne: EJB 3.1 New Features

I’m blogging live from the floor of the Sun JavaOne Conference in San Francisco today, currently attending a session about the new features of EJB 3.1. This article highlights some of the much-needed features added to the EJB 3.1 specification.

1. EJB Singletons (finally!)
The EJB 3.1 specification will support shared session bean instances without using a Java static object. Singleton session beans are added with the @Singleton annotation and are created per application, per JVM. The new features of a singleton object require a number of concurrency enhancements, referred to as bean-managed concurrency and container managed concurrency, which essentially supports read/write locks for the singleton object, helping to ensure proper access from multiple concurrent clients.

2. Dynamic/Portable JNDI names
When EJB modules are deployed, JNDI names are auto-created for each bean as follows:

  • Global: java:global/[<app-name>]/<module-name>/<ejb-name>
  • Same App: java:app/[<module-name>]/<ejb-name>
  • Module: java:module/<ejb-name>

3. EJB Timers
Added cron-like support for EJB timers. Seems identical to Java Quartz, but I’d have to see the lower level details to see if they are related. Timers can be created via annotations or explicitly in Java code and seem to have a much larger expressive language for creating schedules.

4. EJB Lite
Subset of the EJB implementation allowing vendors to create and support EJB environments with a much smaller overhead. Not sure how helpful this will be in practice since most vendors are currently used to creating full EJB implementations and creating a new, smaller subset will require some amount of non-trivial work.

5. Asynchronous Session Bean Invocations
Add asynchronous support for remote/local enterprise bean. “Fire and forget” with results available from Java concurrent Future API. Example:

@Stateless
public class HelloBean {
...
@Asynchronous public Future<int> getHelloValue() {...}
}

More to come
There were other things discussed in EJB 3.1 specification such as interface-less local beans, testing EJBs, startup/shutdown callbacks, and JAX-RS integration, but I’ve covered the ones I find most exciting. Overall, the Singleton aspect has to be one of the most needed features of EJB. More to come from the JavaOne conference this week!

See you in San Francisco!

I’ll be away this week from June 1-5 attending the Sun JavaOne Conference in beautiful San Francisco. I plan to expand my knowledge of advanced J2EE/SOA topics as well as pick up some introductory courses on new technologies. If you want to meet up to discuss any of my recent articles, the conference, or how cold San Francisco seems to be this time of year, drop me an e-mail!

San Francisco

Great Developers Are Not Afraid to Experiment

As a moderator on the JavaRanch, I often come across people asking “What would happen if I executed the following code”. Many times the author of such posts can answer the question by copying and pasting his/her code into a Java main() method and running it. Some might chalk these posts up to being lazy, but, clearly, taking the time to write a post on a message board – often signing up as a member for the first time – takes some amount of effort as well. With that, I’m going to be go with the assumption developers avoid experimenting with code because they are scared or unsure of their own knowledge. Besides which, if it is a matter of laziness, there’s not much advice I can give except to say “Don’t be lazy”.

Experiment

Why is experimenting with code can be scary

In my experience as a teacher, development lead, and moderator I often come across developers who are unsure of their own knowledge. Often times they don’t fully understand what it is the code is doing and are afraid to experiment for fear it will either demonstrate their own personal weakness or harm the existing code. To them, I believe that experimenting is most crucial, if only because some of the doubts and questions that linger in their head can often be answered in an surprisingly short amount of time. If you are staring at a piece of code, puzzled by what you do not understand, take my advice: Step back and play 20 questions, ask yourself “What are questions I have about this code that can be answered with a simple yes/no?” then set up test code to answer each question. Once you have your answer, your doubt about the application should vanish, replaced by first-hand knowledge of what is going on. Keep in mind that sometimes these experiments lead to even more questions, but that’s good; it’s part of the learning process. In those cases, perform even more experiments on the code.

What is an experiment?

What constitutes an experiment? Oftentimes, it involves just writing a short line or two of code, then writing a logging statement, or, more commonly, if you don’t have a logger, a System.out.println() statement that displays the value of some variable or object. For example, if you don’t know why a method is behaving a certain way, add a dozen output statements throughout the code so you can follow two things: 1) the path the code is taking and 2) the value of the data throughout the code. Many times, you may be staring at a section of code, wondering why it’s not working, only to find out that section of code is never reached at run-time. Experimenting can be about changing values and recording the inputs, but sometimes its just about outputting where/what you think a process is doing.

Some people will recommend a debugger for experimentation but I’m not one of them. Aside from often being unwieldy and confusing to use, especially for beginners, sometimes running code through a debugger can affect what it outputs. For example, in a server environment, remote debuggers can be especially difficult to use. Services may have transaction timeouts of 30 seconds, and pausing the code in the debugger can cause an exception to be thrown before the method is complete. If you like using debuggers, more power to you, but as someone who has used both output statements via logging tools and debuggers, I greatly prefer the logging tools. Primarily, this is because the output statements give you more of a trial and error structure to work with: either a test succeeded, or it failed, and the output is all there in front of you.

Stand-alone Safe Experiments

The easiest and safest experiments are those you create that are completely separate from any other code. In terms of Java and Eclipse, this is akin to creating a new Workspace and a new Java Project to run the test code in. Every developer should have a temporary, throw-away workspace like this to perform low-level Java tests with. Simply create a file which in some way asks the question you want answered, and execute the program to evaluate the results.

Safe Experiments within Existing Code

Let’s say the code is highly framework dependent, such as often is the cases with J2EE and database-driven applications. For example, creating a temporary workspace to house your test case may be too cumbersome to implement. In such a case, you can run the experiment inside your existing code provided you are careful and follow some general guidelines:

  • If you are working with code that is backed by a repository, such as Subversion, CVS, ClearCase, etc, make sure your experimentation code does not get checked in or you may end up with applications such as this, this, or even the impossible (the last one). The DailyWTF has literally thousands of such cases. It is perfectly fine to experiment, just be careful to cleanup when you are done!
  • If you are working with code that is *not* backed by a repository, then install a developer repository! I cannot tell you enough the power and value of using a coding repository for all development work. In lieu of that, though, you should just make a copy of the project and/or workspace and experiment with the copy, keeping the original intact.
  • If you are working with code that connects to a database, make sure it’s not one other developers use. Making changes to a shared database as part of a test could affect other developers, so, if possible, you should have your own local copy of the database. This does not mean you should have a production database, but merely a copy of a QA or Development database

Final Thoughts
In my experience, one of the things that separates a great developer from the rest of the pack is that the great developer fully understands the code they are writing. When a bug appears (even great developers can cause bugs), this person often has a good idea where to look for the problem right away, and save valuable support time. Ultimately, if you ever find yourself mystified by your own code base, run some experiments and learn why things work the way they work. You’ll be a better developer for it!