rdlc data matrix

rdlc data matrix

rdlc data matrix

rdlc data matrix

rdlc data matrix

rdlc data matrix,

rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,

rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,

rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,

rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,
rdlc data matrix,

As you can see, dependency injection is front and center of the common metadata annotations, including the @Resource, @EJB, @WebServiceRef, @PersistenceContext, and @PersistenceUnit annotations. Just as metadata annotations take the ugliness of descriptors away from the developer s view, dependency injection solves the complexities surrounding manual JNDI lookups. Let s take a look at this concept next.

Almost every component uses another component or resource to implement functionality. The primary goal of dependency injection (DI) is to make component interdependencies as loosely coupled as possible. In real terms, this means that one component should call another component or resource only through an interface and that components and resources should be glued together using configuration instead of code. As a result, component implementations can easily be swapped out as necessary simply by reconfiguring the application. If you ve used JNDI extensively in EJB 2, you ll appreciate how much this means. We won t talk about JNDI very much here since in most cases you can get away without knowing anything about it. If you don t know about JNDI and are curious to learn more, we discuss it in some length in appendix A. Figure 2.1 shows the difference between manual JNDI lookups and DI. In a sense, injection is lookup reversed. As you can see, in the manual JNDI lookup model, the bean explicitly retrieves the resources and components it needs. As a result, component and resource names are hard-coded in the bean. With DI, on the other hand, the container reads target bean configuration, figures out what beans and resources the target bean needs, and injects them into the

Spring aims to facilitate J2EE development; therefore, it provides a set of abstraction layers that assist with the integration of Spring bean-based applications with various technologies commonly encountered in J2EE development. These abstraction layers, listed here, cleanly integrate with the Spring bean container, especially through the IoC capabilities of Spring: A common abstraction layer for transaction management, which allows for pluggable transaction managers and demarcate transactions, without the disadvantage of lowlevel issues. Generic strategies for JTA and a single JDBC DataSource are included. A JDBC abstraction layer, which simplifies the writing of queries and error handling. Integration with Hibernate, JDO, and iBATIS SQL Maps, in terms of resource holders, DAO implementation support, and transaction strategies. First-class Hibernate support with a lot of IoC convenience features, which address many typical Hibernate integration issues.

Figure 2.1 When you re using JNDI, it s the responsibility of the client to do a lookup and obtain a reference to the object. In EJB 3, you may think dependency injection is the opposite of JNDI. It is the responsibility of the container to inject an object based on the dependency declaration.

Notice that the single URL parameter suite includes the fully qualified classname of a test case. Opening the URL will produce something similar to the following XML output:

bean at runtime. In the end, you write no lookup code and can easily change configuration to swap out beans and resources as needed. In essence, DI allows you to declare component dependencies and lets the container deal with the complexities of service or resource instantiation, initialization, sequencing, and supplies the service or resource references to the clients as required. As we work our way through the examples in this chapter, you ll see several places where we use DI, including @EJB to inject EJBs in section 2.3, @Resource to inject JMS resources in section 2.4, and @PersistenceContext to inject container-managed EntityManager in section 2.5.

Lightweight application containers like the Spring Framework and PicoContainer popularized the idea of DI. To learn more about the roots of DI itself, visit www.martinfowler.com/articles/injection.html. This article, by Martin Fowler, faithfully examines the pros and cons of DI over JNDIstyle manual lookups. Since the article was written before EJB 3 was conceived, you might find the discussion of EJB 2 cool as well!

< xml version="1.0" encoding="UTF-8" > <testsuites> <testsuite name="examples.cactus.Test1" tests="2" failures="0" errors="0" time="0.07"> <testcase name="testPositiveResponse" time="0.02" /> <testcase name="testNegativeResponse" time="0.04" /> </testsuite> </testsuites>