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In this chapter, we depicted the basic features of Spring and illustrated how to use Spring AOP Spring provides a lightweight bean container (factory) that implements the Inversion of Control (Dependency Injection) principle The IoC principle allows a clean separation between the bean definition and the bean dependency management and configuration In short, when an application needs a bean, it asks the factory in charge of creating it and configuring it with the application context (usually expressed in XML bean configuration files) A strength of Spring is that it applies the same IoC principles to AOP, which gives it two primary advantages: First, AOP is cleanly integrated into the bean definition, which makes the whole framework convincing and consistent In addition, most of the development and configuration processes are already familiar to programmers who have used Spring beans Second, it gives a good balance between configuration and Java programming.

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Context.SECURITY_ CREDENTIALS 234 Context.SECURITY_ PRINCIPAL 234 continuous integration 34 conversion characters 253 formatting 253 conversion specifiers 252 ConversionPattern 252 performance 255 createServiceInstance 158 creating a batch process mechanism 159 creating a centralized log file in a clustered environment 263 creating a message-driven Enterprise JavaBean 202 creating a one-to-many relationship for entity beans 101 creating a stateful session bean unit test 290 creating a stateless session bean unit test 286 creating an entity bean unit test 292 creating an interface to your entity data 120 creating asynchronous behavior for an EJB client 151 without message-driven beans 156 creating EJB 2.0 containermanaged persistence 81 creating log file views for the web browser 261

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13.1.1 Understanding locking types To avoid concurrency issues, applications must use appropriate locking mechanisms. Locking strategies are generally grouped into two camps: optimistic and pessimistic. Optimistic locking can be viewed as a cure it mind-set, whereas pessimistic locking is more of a prevent it concept. This section examines the differences between these two locking approaches.

Pessimistic locking Pessimistic locking is a strategy reflective of a pessimistic state of mind, where you prevent users from doing certain things, assuming that they will go wrong. When using pessimistic locking, you lock all involved database rows for the entire span of time a user shows an interest in modifying an entity.

DAO 188 data source 78 for different users 85 database logging 257 view 115 database sequence 88 for BMP 88 for CMP 90 DataBean 39 DataSource 79 EJB deployment descriptor 79

JPA does not have support for pessimistic locking strategies. However,

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Even though most AOP basic features are usable through property configuration, it is always possible to customize the AOP model programmatically, or even to provide new configurable AOP concepts The clean interface-based design of Spring is actually of a great help here From an abstract model perspective, Spring AOP defines the same concepts as classical AOP (advice, pointcuts, introductions, cflows), except that it materializes the link between an advice and a pointcut with the concept of an advisor Introductions are handled as a special type of advice; it is our feeling that some of the concepts provided need further enhancement and refinement, which is understandable since Spring AOP is a young framework The open design of Spring, especially interface-based design and IoC, will make it easy to improve the model in the future.

Figure 13.1 illustrates pessimistic locking. A user may acquire two types of lock on an entity: write or read. A write lock prevents users from attempting any kind of operations such as read, update, or delete, on the locked row(s). A read lock allows others to read the locked data but they are unable to update or delete it. A pessimistic lock is relatively easy to implement, since most databases allow you to lock tables, rows, and so forth. You can use the SELECT FOR UPDATE semantics in the database to implement pessimistic locking. Pessimistic locking has many disadvantages. For instance, it may make your applications slower because all users have to wait for an entity s locks to be released. It may also introduce deadlock conditions into your system. If a system has several users, transactions involve a greater number of objects, or transactions are long-lived, then the chance of having to wait for a lock to be released

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