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The convergence of the application server market around the J2EE specification effectively standardized the external interface between the application server and a DBMS around JDBC. Conceptually, an application server can automatically access any database product that offers a JDBC-compliant API, thus achieving DBMS independence. In practice, subtle differences between the DBMS systems in areas like SQL dialects and database naming still require some tweaking and testing, and manifest themselves in subtle dependencies within the code deployed on the application server. However, these differences tend to be minor, and adjusting for them is relatively straightforward.
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The approach to data management for the application code running on the application server is a slightly more complicated story. While the application server does provide uniform services for data management, it provides these in several different architectures, using the different types of EJBs in the J2EE specification. The application designer must choose among these approaches, and in some cases, will mix and match them to achieve the requirements of the application. Here are some of the decisions that must be made: I Will the application logic do direct database access from within a session bean, or will database contents be represented as entity beans, with database access logic encapsulated within them I If direct access from session beans is used, can the session bean remain stateless (which simplifies the coding of the bean and its management by the application server), or does the logic of database access require the bean to be stateful, preserving a context from one invocation to another I If entity beans are used to represent database contents, can the application rely on the container-managed persistence provided by the application server to manage database interaction, or does the application s logic require that the entity bean provide its own database access logic through bean-managed persistence I If entity beans are used to model database contents, do the beans correspond on a one-to-one basis to the tables in the underlying database (fine-grained modeling), or is it more appropriate for the beans to present a higher-level, more object-oriented view of the data, with the data within each bean drawn from multiple database tables (coarse-grained modeling) The trade-offs represented by these design questions provide an excellent perspective on the challenge of matching SQL and relational database technology to the demands of the World Wide Web and its stateless architecture, and the demands of application servers and object-oriented programming. The next several sections describe the basics of EJBs and the trade-offs among the different data access architectures they can support.
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Within a J2EE-compliant application server, the user-developed Java applications code that implements the specific business logic is packaged and executes as a collection of EJBs. An EJB has a well-defined set of external interfaces (methods) that it must provide, and is written with an explicit set of class-specific public methods that define the external interface to the bean. The work done within the bean, and any private data variables that it maintains for its own use, can be encapsulated and hidden from other beans and from developers who do not need to know these internal details and should not write code that depends on them.
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The EJBs execute on the application server within a container, which provides both a runtime environment for the beans and services for them. These range from general services, such as managing memory for the beans and scheduling their execution, to specific services like network access and database access (via JDBC). The container also provides persistence services, preserving the state of beans across activations. EJBs come in two major types that are of interest from a data management perspective. The EJB types are graphically illustrated in Figure 22-3. The two major types of beans are: I Session beans. These beans represent individual user sessions with the application server. Conceptually, there is a one-to-one association between each session bean and a current user. In the figure, users Mary, Joe, and Sam are each represented by their own session bean. If there are internal instance variables within the bean, these variable values represent the current state associated with the user during this particular session. I Entity beans. These beans represent business objects, and logically correspond to individual rows of a database table. For example, for entity beans representing sales offices, there is a one-to-one association between each entity bean and a particular office, which is also represented in our sample database by a single row in the OFFICES table. If there are internal instance variables within the bean, these variable values represent the current state associated with the office, which is also represented by the column values in this row of the OFFICES table. This state is independent of any particular user session. Either type of bean may access a database, but they will typically do it in quite different ways.
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