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We heartily agree with Chris Richardson s quote: one of the biggest problems with EJB 2 was the sheer amount of code you needed to write in order to implement an EJB. If we had attempted to produce listing 1.1 as an EJB 2 example, we would have had to work with several classes and interfaces just to produce the simple one-line output. All of these classes and interfaces had to either implement or extend EJB API interfaces with rigid and unintuitive constraints such as throwing java.rmi.RemoteException for all methods. Implementing interfaces like javax.ejb.SessionBean for the bean implementation class was particularly time consuming since you had to provide an implementation for lifecycle callback

initCtx = new InitialContext(); System.out.println( "User Requesting Connection:" + username ); srcName = "java:comp/env/"+userName+"BookDataSource" ; System.out.println("User Requesting DataSource:"+srcName); return ( (javax.sql.DataSource) initCtx.lookup( srcName ) ).getConnection(); } catch(NamingException ne) { ne.printStackTrace(); throw new EJBException( ne ); } finally{ try{ if(initCtx != null) initCtx.close(); } catch(NamingException ne) { throw new EJBException(ne); } } //finally }//method }

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methods like ejbCreate, ejbRemove, ejbActivate, ejbPassivate, and setSessionContext, whether or not you actually used them. In effect, you were forced to deal with several mechanical steps to accomplish very little. IDE tools like JBuilder, JDeveloper, and WebSphere Studio helped matters a bit by automating some of these steps. However, in general, decent tools with robust support were extremely expensive and clunky. As you saw in listing 1.1, EJB 3 enables you to develop an EJB component using POJOs and POJIs that know nothing about platform services. You can then apply configuration metadata, using annotations, to these POJOs and POJIs to add platform services such as remoteability, web services support, and lifecycle callbacks only as needed. The largely redundant step of creating home interfaces has been done away with altogether. In short, EJB service definitions have been moved out of the typesafe world of interfaces into deploy and runtime configurations where they are suited best. A number of mechanical steps that were hardly ever used have now been automated by the platform itself. In other words, you do not have to write a lot of code to implement an EJB!

In addition to having to write a lot of boilerplate code, a significant hurdle in managing EJB 2 was the fact that you still had to do a lot of XML configuration for each component. Although XML is a great mechanism, the truth is that not everyone is a big fan of its verbosity, poor readability, and fragility. Before the arrival of Java 5 metadata annotations, we had no choice but to use XML for configuration. EJB 3 allows us to use metadata annotations to configure a component instead of using XML deployment descriptors. As you might be able to guess from listing 1.1, besides eliminating verbosity, annotations help avoid the monolithic nature of XML configuration files and localize configuration to the code that is being affected by it. Note, though, you can still use XML deployment descriptors if they suit you better or simply to supplement annotations. We ll talk more about this in chapter 2. In addition to making the task of configuration easier, EJB 3 reduces the total amount of configuration altogether by using sensible defaults wherever possible. This is especially important when you re dealing with automated persistence using ORM, as you ll see in chapters 7, 8, 9, and 10.

With the four criteria defined by Hannemann and Kiczales, we can evaluate our implementation as follows: Locality: The subject is free from any code managing observers. This code is located in the AbstractObserverAspect abstract aspect. The code elements specific to subjects are handled by concrete aspects, which extend AbstractObserverAspect. Reusability: The management of observers is reused systematically. Composition transparency: The aspect is not invasive. The behavior of the observed subjects is extended, but not modified. (Un)pluggability: The link between the observed subject and its observers is weak. The pointcuts for events and subjects define precisely where the design pattern must be integrated.

The data source must be defined in the ejb-jar.xml deployment descriptor for each of the users. The name of the data source must correspond to that of the generated data source name. For this example, we created two data source references (for users guest and markw ). Listing 3.6 shows the partial XML descriptor file for this bean.

Assume that ActionBazaar used the DTO design pattern. Listing 14.3 shows a sample of a fine-grained DTO named UserDTO that maps to a UserBean entity bean.

public class UserDTO implements Serializable { private String userId; private Date birthDate; Field definition private String userStatus; private Double commRate; private Long creditRating; private String firstName; private String lastName; private Long maxItems; private Long userBillingId; private String userType;

private Collection bids; public UserDTO() { }

<ejb-jar> <enterprise-beans> <!-- =========[ UserSpecificDB Session Bean ]======== --> <session> <ejb-name>userSpecificDB</ejb-name> <home>userspecificdb.UserSpecificDBHome</home> <remote>userspecificdb.UserSpecificDB</remote> <ejb-class>userspecificdb.UserSpecificDBBean</ejb-class> <session-type>Stateless</session-type> <transaction-type>Container</transaction-type>

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