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By using an interface, the EJB can store any implementation class in a member variable (of the interface type). The EJB method in listing 4.14 could be used to load a service implementation for use by an EJB.

As promised earlier, listing 2.8 shows how the PlaceBid EJB uses EntityManager API to persist the Bid entity.

For the very same reason, the strategy also limits the ability to enforce data integrity constraints. For example, if you want to enforce a column

This aspect goes beyond EJB service resolution because it also allows for the resolution of JMS services and data sources. It relies on a simple implicit protocol that hides the implementations of the actual resolution, which is transparently inserted by the aspects. Hence, for each resolving type, the client can define one of these empty methods: aclass.getServiceFacade(Class) (pointcut line 15) aclass.getDatabaseConnection(Class) (pointcut line 18) aclass.getJMSObject(Class) (pointcut line 22) The actual implementations are then provided by the corresponding around advice codes (lines 42, 64, and 77). Thanks to this aspect, the Simple client defined previously can be modified as shown in Listing 12-6. Listing 12-6. The Simple Client Aspectized package aop.j2ee.client.java.aspectized; import java.math.BigDecimal; import java.util.Date;

private MyService createServiceInstance(){ MyService service = null; Class c = null;

constraint that BID_FREQUENCY cannot be NULL for a Bidder, you would not be able to enforce the constraint since the same column will contain Seller records for which the value may be NULL. Typically, such constraints are enforced through alternative mechanisms such as database triggers for the single-table strategy.

The second inheritance strategy avoids the pitfalls we ve described and fully utilizes database relationships.

The joined-tables inheritance strategy uses one-to-one relationships to model OO inheritance. In effect, the joined-tables strategy involves creating separate tables for each entity in the OO hierarchy and relating direct descendants in the hierarchy with one-to-one relationships. For a better grasp, let s see how the data in figure 8.10 might look using this strategy. In the joined-tables strategy, the parent of the hierarchy contains only columns common to its children. In our example, the USERS table contains columns common to all ActionBazaar user types (such as USERNAME). The child table in the hierarchy contains columns specific to the entity subtype. Here, both the BIDDERS and SELLERS tables contain columns specific to the Bidder and Seller entities, respectively (for example, the SELLERS table contains the CREDIT_WORTH column). The parent-child OO hierarchy chain is implemented using one-to-one relationships. For example, the USERS and SELLERS tables are related through the USER_ID foreign key in the SELLERS table pointing to the primary key of the USERS table. A similar relationship exists between the BIDDERS and USERS tables. The discriminator column in the USERS table is still used, primarily as a way of easily differentiating

try{ String classname = ( String ) context.lookup( "java:comp/env/MY_SERVICE_CLASS" ); c = Class.forName(classname); Creates an instance of the class and service = (MyService) c.newInstance(); casts it to the interface type } catch(Exception e){ e.printStackTrace(); } return service; }

import aop.j2ee.business.session.bank.Bank; import aop.j2ee.commons.to.AccountDetails; import aop.j2ee.commons.exception.SystemException;

Figure 8.10 Modeling inheritance using joined tables. Each entity in the OO hierarchy corresponds to a separate table and parent-child relationships are modeled using one-to-one mapping.

@Entity @Table(name="USERS") @Inheritance(strategy=InheritanceType.JOINED) @DiscriminatorColumn(name="USER_TYPE", discriminatorType=STRING, length=1) public abstract class User ... @Entity @Table(name="SELLERS") @DiscriminatorValue(value="S") @PrimaryKeyJoinColumn(name="USER_ID") public class Seller extends User ... @Entity @Table(name="BIDDERS") @DiscriminatorValue(value="B") @PrimaryKeyJoinColumn(name="USER_ID") public class Seller extends User ...

The key to this recipe is the use of reflection, interface, and environment variables stored in a bean s deployment descriptor. This example loads the implementation classname from an environment variable in its deployment descriptor, and uses reflection to instantiate an instance of the class. For more information about using the deployment descriptor to store variables, see recipe 4.1.

Listing 8.13 uses the @DiscriminatorColumn and @DiscriminatorValue annotations in exactly the same way as the single-table strategy. The @Inheritance annotation s strategy element is specified as JOINED, however. In addition, the one-toone relationships between parent and child tables are implemented through the @PrimaryKeyJoinColumn annotations in both the Seller and Bidder entities. In both cases, the name element specifies the USER_ID foreign key. The joined-tables strategy is probably the best mapping choice from a design perspective. From a performance perspective, it is worse than the single-table strategy because it requires the joining of multiple tables for polymorphic queries.