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Ordinality, or optionality Ordinality, or optionality, of a relationship determines whether an associated entity exists. For example, we have a bidirectional one-to-one association between User and BillingInfo, and every user need not always have billing information, so the relationship is optional. However, BillingInfo always belongs to a User and hence the optionality for the BillingInfo-User association is false. Having established the basic concepts of domain modeling, we can now start discussing how the domain model is persisted using the EJB 3 Java Persistence API and actually begin implementing our domain model.

A secure conversation is simply a session between a service and a client, where the exchanged SOAP messages are encrypted and signed using tokens that are generated from an STS provider WSE 30 allows any Web service to act as an STS provider via simple policy configuration settings Consider a Web service that already implements the UsernameForCertificateSecurity turnkey security profile It can be reconfigured to issue security context tokens (SCTs) by setting the attribute establishSecurityContext to true, as shown in Listing 7-6 Listing 7-6 Configuring a Web Service to Issue Security Context Tokens for Secure Conversation <UsernameForCertificateSecurity establishSecurityContext="true" renewExpiredSecurityContext="true" RequireSignatureConfirmation="false" MessageProtectionOrder="SignBeforeEncrypting" RequireDeriveKeys="true" ttlInSecconds="300"> The attribute renewExpiredSecurityContext causes the secure conversation to automatically renew in the event that the session times out (due to the SCT token expiring).

In contrast to EJB 2 entity beans, the EJB 3 Java Persistence API (JPA) is a metadata-driven POJO technology. That is, to save data held in Java objects into a database, our objects are not required to implement an interface, extend a class, or fit into a framework pattern. In fact, persisted objects need not contain a single inline statement of JPA. All we have to do is code our domain model as plain Java objects and use annotations or the XML to give the persistence provider the following information:

All further attempts to use the type in any way will also cause a TypeInitializationException to be thrown Since developers rarely expect such an exception when they instantiate a type or use its static members, you should not allow exceptions to be thrown from a type initializer The following code shows how an exception can be avoided in the TaxRates type initializer: static TaxRates() { if (!float::TryParse(ConfigurationManager::AppSettings["GermanVAT"], GermanVAT)) GermanVAT = 016; if (!float::TryParse(ConfigurationManager::AppSettings["UKVAT"], UKVAT)) UKVAT = 0175; }.

What our domain objects are (for example, using the @Entity and @Embedded annotations) How to uniquely identify a persisted domain object (for example, using the @Id annotation) What the relations between objects are (for example, using the @OneToOne, @OneToMany, and @ManyToMany annotations) How the domain object is mapped to database tables (for example, using various object-relational mapping annotations like @Table, @Column, or @JoinColumn)

As you can see, although O/R mapping using the JPA (or any other O/R frameworks like Hibernate) is a great improvement over entity beans or JDBC, automated persistence is still an inherently complex activity. The large number of persistencerelated annotations and wide array of possible arrangements is a result of this fact. To make it all as digestible as possible, we ll only cover the first three items in this

Like many of us, if you are comfortable with SQL and JDBC and like the control and flexibility offered by do-it-yourself, hands-on approaches, O/R in its full-blown, black magic, automated form may not be for you. As a matter of fact, O/R tools like Hibernate and the EJB 3 Java Persistence API (JPA) might seem like overkill, even despite the long-term benefits offered by a higher-level API. If this is the case, you should give tools like Spring JDBCTemplate and iBATIS a very close look. Both of these tools do an excellent job abstracting out really lowlevel, verbose JDBC mechanics while keeping the SQL/database-centric feel of persistence intact. However, you should give O/R frameworks and JPA a fair chance. You just might find that these options make your life a lot easier and OO-centric, freeing you to use your neuron cycles to solve business problems instead.