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the EntityManager API standardizes ORM CRUD operations. But standardization isn t the only benefit of the simplified API: another great feature is that it can run outside the container. The cleanly separated Java Persistence API As we touched on in section 1.2.3, API persistence isn t just a solution for serverside applications. Persistence is a problem that even a standalone Swing-based desktop application has to solve. This is the realization that drove the decision to make JPA a cleanly separated API in its own right, that can be run outside an EJB 3 container. Much like JDBC, JPA is intended to be a general-purpose persistence solution for any Java application. This is a remarkably positive step in expanding the scope of EJB 3 outside the traditional realm of server applications. Better persistence-tier OO support Because EJB 2 entity beans were record oriented, they didn t support rich OO features like inheritance and polymorphism, and they didn t permit the mixing of persistent state and domain logic. As you saw in section 1.1.3, this made it impossible to model the domain layer in DDD architecture. EJB 3 entities have robust OO support, not just because they are POJOs but also because the JPA ORM mapping scheme is designed with OO in mind. JPQL has robust support for OO as well. Getting impatient to learn more about JPA Stick with us and we ll have many discussions on JPA throughout the book; part 3 is devoted to discussions on JPA. Test-driven development has become quite popular because it can dramatically improve performance of software applications. Let s see how EJB 3 improves the testability of applications.



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Many different types of implementations are available, ranging from straight Java Database Connectivity (JDBC) to full-fledged object relational mapping frameworks such as Hibernate Each offers its own distinct advantages, but they function in significantly different ways When all data access is delegated to its own layer, changing from one persistence mechanism to another becomes possible Again, it s unlikely that the persistence framework will be swapped out in a production system, but it s certainly possible Building the system to cope with change is important, for they say that we are building tomorrow s legacy software today Recognizing a discrete problem domain of the system, such as data access, is important Isolating those problem domains in their own interfaces and layers helps to keep the system adaptable in the face of change.





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on (sess_stats.name = curr_stats.name) when matched then update set diff = curr_stats.value - sess_stats.value, value = curr_stats.value when not matched then insert ( name, value, diff ) values ( curr_stats.name, curr_stats.value, null ) / select * from sess_stats order by name; I emphasized the phrase for this case study because of the lines in bold the names of the statistics we re interested in looking at change from example to example. In this particular case, we re interested in anything with ga in it (pga and uga), or anything with direct temp, which in Oracle 10g will show us the direct reads and writes against temporary space (how much I/O we did reading and writing to temp).

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Being able to unit-test component state or logic in response to simulated input is a critical technique in increasing code quality. In EJB 2, only functional testing of components was possible since components had to be deployed to the container to be executed. While functional testing simulating user interactions with the system is invaluable, it is not a good substitute for lower-level unit testing. Because all EJB 3 components are POJOs, they can easily be executed outside the container. This means that it is possible to unit-test all component business logic using testing frameworks such as JUnit or TestNG. These are just the primary changes to EJB 3; there are many more that we ll cover throughout the book.

Note In Oracle9i, direct I/O to temporary space was not labeled as such. We would use a WHERE clause

Just in case you thought you had to choose between Spring and EJB 3, we thought we d mention why they don t necessarily need to be regarded as competing technologies.

When this watch_stat.sql script is run from the SQL*Plus command line, we ll see a listing of the PGA and UGA memory statistics for the session, as well as temporary I/O. Before we do anything in session 151, the session using manual PGA memory management, let s use this script to find out how much memory that session is currently using and how many temporary I/Os we have performed: ops$tkyte@ORA10G> @watch_stat 6 rows merged.

Keeping the time to run the system tests low is the other key reason the data access layer is isolated Any unit test that requires more than the method being tested ceases to be a unit test and becomes an integration test Unit tests are meant to test very small units of code If the tests had to rely on an external database, then the code under test would not be isolated If a problem would arise, both the external database and the actual code would have to be checked for problems Database connections are expensive resources to create and maintain Unit tests should be very quick to run, and they will slow down tremendously if they require connections to the RDBMS Isolating all persistence operations to one layer makes it easy to mock those operations, keeping test runs fast.

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