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The ITEM_ID foreign key into the ITEMS table from the BIDS table means that multiple BIDS table rows can refer to the same record in the ITEMS table This implements a many-to-one relationship going from the BIDS table to the ITEMS table, and it is simple to retrieve an item given a bid record On the other hand, retrieval from ITEMS to BIDS will require a little more effort in looking for BIDS rows that match a given ITEM_ID key As we mentioned in the previous chapter, however, the relationship between the Item and Bid domain objects is one-many bidirectional This means that the Item object has a reference to a set of Bid objects while the Bid object holds a reference to an Item object.

<fileset dir="${src}"> <include name="**/*Bean.java" /> </fileset> <remoteinterface pattern="{0}Remote"/> <homeinterface/> <localhomeinterface/> <homeinterface/> <entitypk/>

As a Java developer, you might have expected the ITEMS table to contain some kind of reference to the BIDS table in addition to the ITEM_ID foreign key in the BIDS table The problem is that such a table structure simply does not make sense in the relational world Instead, our ORM layer must translate the parent-child unidirectional database relationship into a bidirectional one-to-many relationship in the OO world by using a lookup scheme instead of simple, directional references Many-to-many Many-to-many relationships are common in enterprise development In our ActionBazaar domain model presented in chapter 7, the relationship between the Item and Category domain objects is many-to-many That is, an item can belong in multiple categories while a category can contain more than one item This is fairly easy to implement in the OO world with a set of references on either side of the relationship.

In the database world, on the other hand, the only way to implement a relationship is through a foreign key, which is inherently one-to-many As a result, the only real way to implement many-to-many relationships is by breaking them down into two one-to-many relationships Let s see how this works by taking a look at the database table representation of the item-category relationship in listing 83..

The previous section introduced the basic elements of JAC. We showed how to write, compile, and run a first aspect-oriented application. This section studies the definition of a pointcut. The pointcut method, which is defined in the AspectComponent class, allows you to define pointcuts. Three categories of parameters can be passed when you define a pointcut: Pointcut expression: This expression defines the joinpoints that are included in the pointcut. Wrapper class: This class defines the code that will be executed before and after the joinpoints. Exception handler: The exception handler that is associated with the pointcut provides a method to catch and treat the exceptions that the joinpoints and the wrapper can throw. The exception handler is a method with a given signature that is implemented in the wrapper class. Exception handlers are optional. The following sections explain these three categories in detail.

entityManager.refresh(item); return item; }

Notice the property user.bean.jndi at the top of the file. Now examine the class declaration for the UserBean; it uses the Ant property in the JNDI attribute of the @ejb.bean tag:

After the persist method is invoked, the EntityManager is flushed immediately so that the INSERT statement is executed and the generated values are set by the database. The entity is then refreshed so that we get the most up-to-date data from the database and populate it into the inserted Item instance (including the postingDate field). In most cases you should try to avoid using default or generated values with JPA due to the slightly awkward nature of the code just introduced. Luckily, this awkward code is not necessary while using fields that use the JPA @GeneratedValue annotation since the persist method correctly handles such fields. Before we wrap up this chapter, we ll introduce entity lifecycle-based listeners.