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In the most general sense, the term object-relational mapping means any process that can save an object (in our case a Java Object) into a relational database. As we mentioned, for all intents and purposes you could write home-brewed JDBC code to do that. In the realm of automated persistence, ORM means using primarily configuration metadata to tell an extremely high-level API which tables a set of Java Objects are going to be saved into. It involves the hopefully simple act of figuring out what table row an Object instance should be saved into and what field/ property data belongs in what column. In EJB 3, the configuration metadata obviously consists either of annotations or deployment descriptor elements, or both. As our impedance mismatch discussion points out, there are a few wrinkles in the idealistic view of automated persistence. Because of the inherent complexity of the problem, EJB 3 cannot make the solution absolutely effortless, but it goes a long way in making it less painful. In the next section, we start our discussion of EJB 3 ORM by covering the simple case of saving an entity without regard to domain relations or inheritance.

As application servers grow easier to use, it also becomes easier to cluster your enterprise applications. Once you begin to cluster your applications, you might be faced with the problem of consolidating your log files. When each member of the cluster creates its own log file, you will have an increasingly difficult time tracking user sessions and critical events.

One of the greatest weaknesses of EJB 2 container-managed persistence (CMP) entity beans was that EJB 2 never standardized the process of ORM. Instead, mapping strategies were left up to the individual vendors, whose approaches varied widely. As a result, porting entity beans from one application server to another more or less meant redoing O/R mapping all over again. This meant that the portability that EJB 2 promised meant little more than empty words. EJB 3 firmly standardizes O/R mapping and gets us much closer to the goal of portability. As a matter of fact, as long as you are careful to steer clear of application server-specific features, you can likely achieve portability.

You introduce a role method to define new behaviors. A role method is defined in a wrapper class. You can choose the name, signature, and return type of the method. However, the first parameter must be org.objectweb.jac.core.Wrappee. This parameter corresponds to the application object where the method will be introduced. The wrapper shown in Listing 4-9 illustrates the definition of a role method. Listing 4-9. The Definition of a Role Method package aop.jac; import import import import import org.aopalliance.intercept.ConstructorInvocation; org.aopalliance.intercept.MethodInvocation; org.objectweb.jac.core.AspectComponent; org.objectweb.jac.core.Wrappee; org.objectweb.jac.core.Wrapper;

the way. Can you handle a little heavy lifting Proceed with caution if you think you can; and make sure you have your work gloves on Hibernate provides HSQL, while JDO-compliant providers such as BEA s Kodo support JDO QL to query entities. There was not much debate among the EJB 3 Expert Group on which to use as the standard query language for JPA, and it was agreed to use JPQL. JPQL is an extension of EJB QL, the query language of EJB 2. It didn t make sense to invent yet another language for such a well-known domain, so the group voted unanimously to make EJBQL the query language of choice and to address all its previous limitations. It s good news that yet another query language was not forced upon the developer community. The use of JPQL will make the migration of EJB 2 entity beans to EJB 3 persistence easier.

JPQL operates on classes and objects (entities) in the Java space. SQL operates on tables, columns, and rows in the database space. While JPQL and SQL look similar to us humans, they operate in two very different worlds.

To set up a centralized log file, create in your cluster a new EJB application consisting of only a single message-driven bean. In the other members of the cluster, create a JMS appender for the logging framework that publishes messages to a topic that the message-driven bean uses to acquire messages. The single message-driven bean writes out the messages as needed. The code in listing 8.3 shows a sample message-driven bean class.