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Middle out The Hibernate XML mapping metadata provides sufficient information to completely deduce the database schema and to generate the Java source code for the persistence layer of the application. Furthermore, the XML mapping document isn t too verbose. Hence, some architects and developers prefer middle-out development, where they begin with handwritten Hibernate XML mapping files, and then generate the database schema using hbm2ddl and Java classes using hbm2java. The Hibernate XML mapping files are constantly updated during development, and other artifacts are generated from this master definition. Additional business logic or database objects are added through subclassing and auxiliary DDL. This development style can be recommended only for the seasoned Hibernate expert. Meet in the middle The most difficult scenario is combining existing Java classes and an existing database schema. In this case, there is little that the Hibernate toolset can do to help. It is, of course, not possible to map arbitrary Java domain models to a given schema, so this scenario usually requires at least some refactoring of the Java classes, database schema, or both. The mapping metadata will almost certainly need to be written by hand and in XML files (though it might be possible to use annotations if there is a close match). This can be an incredibly painful scenario, and it is, fortunately, exceedingly rare.

We now explore the tools and their configuration options in more detail and set up a work environment for typical Hibernate application development. You can follow our instructions step by step and create the same environment, or you can take only the bits and pieces you need, such as the Ant build scripts. The development process we assume first is top down, and we ll walk through a Hibernate project that doesn t involve any legacy data schemas or Java code. After that, you ll migrate the code to JPA and EJB 3.0, and then you ll start a project bottom up by reverse-engineering from an existing database schema.

We have to add a high-level target, cc, which depends on both of the conditional compilation targets; only one of which will ever run on a single platform s build.

<class name="Address" table="ADDRESS"> <id name="id" column="ADDRESS_ID"> <generator class="foreign"> <param name="property">user</param> </generator> </id> ... <one-to-one name="user" class="User" constrained="true"/> </class>

We then alter the existing dependent targets of cc-windows, such as test, to depend upon the cc target, so that they will run the appropriate compiler target for their platform. 17.5.3 Testing the migration As we have not yet migrated the assembly language, we don t expect all the tests to work, but the first test, that a call to the method returns, should already work. Let s run the build and see:

This mapping seems strange at first. Read it as follows: When an Address is saved, the primary key value is taken from the user property. The user property is a reference to a User object; hence, the primary key value that is inserted is the same as the primary key value of that instance. Look at the table structure in figure 7.2.

cc-linux: [cc] [cc] [cc] [cc] [cc] [junit] [junit] [junit] [junit] [junit] Starting dependency analysis for 1 files. Parsing build/generated/org_example_antbook_cpu_CpuInfo.h 0 files are up to date. 1 files to be recompiled from dependency analysis. 1 total files to be compiled.test: Running org.example.antbook.cpu.CpuInfoTest Tests run: 3, Failures: 2, Errors: 0, Time elapsed: 0.129 sec Testcase: testClockCallReturns took 0.023 sec Testcase: testClockCodeWorks took 0.017 sec FAILED

The code to save both objects now has to consider the bidirectional relationship, and it finally works:

User newUser = new User(); Address shippingAddress = new Address(); newUser.setShippingAddress(shippingAddress); shippingAddress.setUser(newUser); // Bidirectional session.save(newUser);

This fragment of the build file shows first that the cc-linux target was called to build the files, and then that our first test did pass, but the second two failed. We now have a build process that can create JNI headers from Java files, compile C++ classes to implement the methods on two different platforms, and then test them. Actually implementing the native code on the second platform is the one remaining task. 17.5.4 Porting the code The final bit of work is to port the timer code, or, to be precise, find the appropriate code fragment with Google, then customize it:

Let s do the same with annotations. Shared primary key with annotations JPA supports one-to-one entity associations with the @OneToOne annotation. To map the association of shippingAddress in the User class as a shared primary key association, you also need the @PrimaryKeyJoinColumn annotation:

JNIEXPORT jlong JNICALL Java_org_example_antbook_cpu_CpuInfo_getCpuClock (JNIEnv *, jobject) { long long int timestamp; asm volatile (".byte 0x0f, 0x31" : "=A" (timestamp)); return timestamp; }

@OneToOne @PrimaryKeyJoinColumn private Address shippingAddress;

Now, we can run the build and see what the results are:

This is all that is needed to create a unidirectional one-to-one association on a shared primary key. Note that you need @PrimaryKeyJoinColumns (plural)