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In most EJB applications, completing business logic in one EJB involves invoking another EJB. In addition, entity bean access is usually through a session bean facade. With most cases, EJB access from another EJB takes place in the same EJB container. However, large enterprise applications may separate business logic across hosts, or may invoke other EJB applications to complete a workflow. In these cases, you might need to access remote EJBs from other EJBs. For this solution, you need to know how to create an initial context for finding a remote EJB container in order to look up or create remote EJBs.

Sometimes the Data Access layer can be as simple as a series of methods that use ADO.NET directly to retrieve or store data. In other circumstances, the Data Access layer is more complex, providing a more abstract or even metadata-driven way to get at data. In these cases, the Data Access layer can contain a lot of complex code to provide this more abstract data access scheme. The framework created in this book doesn t restrict how you implement your Data Access layer. The examples in the book use LINQ to SQL, but you could also use ADO.NET or use some other metadata-driven Data Access layer directly if you prefer. Another common role for the Data Access layer is to provide mapping between the object-oriented business logic and the relational data in a data store. A good object-oriented model is almost never the same as a good relational database model. Objects often contain data from multiple tables, or even from multiple databases; or conversely, multiple objects in the model can represent a single table. The process of taking the data from the tables in a relational model and getting it into the object-oriented model is called object-relational mapping (ORM), and I ll have more to say on the subject in 2.

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With the scripts organized in this way, the task we have created can be used to run the sets of scripts required given the particular database instance. Additionally, we can leverage reusability in the build scripts on a large scale.

Generating EJB interfaces Adding JNDI names to your home interfaces Maintaining the XML descriptor Creating value objects for entity beans Creating primary key classes Customizing XDoclet tags with Ant properties Generating a utility object Adding security roles to the bean source Creating method permission XML Generating finder methods Creating the XML for ejbSelect methods Adding home methods to home interfaces

Finally, there s the Data Storage and Management layer. Database servers such as SQL Server and Oracle often handle these tasks, but, increasingly, other applications may provide this functionality, too, via technologies such as XML-based services. What s key about this layer is that it handles the physical creation, retrieval, update, and deletion of data. This is different from the Data Access layer, which requests the creation, retrieval, update, and deletion of data. The Data Storage and Management layer actually implements these operations within the context of a database or a set of files, and so on. The business logic (via the Data Access layer) invokes the Data Storage and Management layer, but the layer often includes additional logic to validate the data and its relationship to other data.

Having worked out the practical details for the actual work to be done, let us consider how we can implement database integration into the CI process. First, we return to the Control and Configure versioning tasks we identified at the outset of this chapter.

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