By Deepak Alur, John Crupi, Dan Malks
This consultant offers the easiest practices for improvement utilizing J2EE applied sciences and information 21 layout styles that produce functions striking for his or her functionality, scalability, and robustness. A multi- tier case learn illustrates each degree of firm improvement, and pattern code is equipped. universal errors are pointed out, to allow them to be shunned. The authors are Java architects and engineers
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Additional info for Core J2EE Patterns
J2EE Patterns and J2EE Platform As you can see from the overview, the J2EE platform standardizes a number of different technologies to provide a robust platform for building distributed multitier enterprise class applications. The J2EE platform is built on the J2SE platform. Since the J2SE platform forms - 38 - the foundation of the J2EE platform, a Java developer can learn the J2EE technologies with relative ease. However, there is a belief that learning a new technology by itself is sufficient to make us adept at designing systems based on that new technology.
EJB components, or enterprise beans, come in two types: session beans and entity beans. Session beans are enterprise beans that are suitable for processing or workflow. Session beans come in two flavors: stateful and stateless. A stateful session bean retains client state between method invocations. A stateless session bean does not retain client-specific state between client-invoked methods. Stateless session beans are used when no state needs to be stored between method invocations, and they may offer performance benefits over stateful session beans, which must be used when some state needs to be retained between invocations.
Model validation is performed by comparing the metadata and constraints to the model state. The metadata and constraints about the model are typically accessible from some sort of simple data store, such as a properties file. A benefit of this approach is that the system becomes more generic, because it factors the state typing and constraint information out of the application logic. An example is to have a component or subsystem that encapsulates validation logic, such as deciding whether a string is empty, whether a certain number is within a valid range, whether a string is formatted in a particular way, and so on.