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It is meant for those who have an understanding of the issues and know what they need, but who don t want to have to write thousands of lines of code to deal with a problem that has already been solved Unobtrusive, not transparent It is unreasonable to expect that persistence be transparent because an application always needs to have control of the objects that it is persisting and be aware of the entity life cycle The persistence solution should not intrude on the domain model, however, and domain classes must not be required to extend classes or implement interfaces in order to be persistable Legacy data, new objects It is far more likely that an application will target an existing relational database schema than create a new one.

Support for legacy schemas is one of the most relevant use cases that will arise, and it is quite possible that such databases will outlive every one of us Enough, but not too much Enterprise developers have problems to solve, and they need features sufficient to solve those problems What they don t like is being forced to eat a heavyweight persistence model that introduces large overhead because it is solving problems that many do not even agree are problems Local, but mobile A persistent representation of data does not need to be modeled as a full-fledged remote object Distribution is something that exists as part of the application, not part of the persistence layer The entities that contain the persistent state, however, must be able to travel to whichever layer needs them..

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I ll also touch on the Java EE design pattern catalog as documented by Sun s Java BluePrints and subsequently elaborated on in the book Core J2EE Design Pattern by Deepak Alur et al (Prentice Hall, 2003) I ll end the chapter with an introduction to Unified Modeling Language (UML) and its role in visually documenting Java EE design and architecture..

We concluded the chapter with a brief look at JPA. We looked at the history of the specification and the vendors who came together to create it. We then looked at the role it plays in enterprise application development and gave an introduction to some of the features offered by the specification. In the next chapter, you will get your feet wet with JPA, taking a whirlwind tour of the basics and building a simple application in the process.

1. There is no standard way of referring to direct use of JDBC as opposed to ORM or EJBs, so we have adopted the term connected as the least awkward way of expressing this.

One of the main goals of JPA was that it should be simple to use and easy to understand. Although its problem domain cannot be trivialized or watered down, the technology that enables one to deal with it can be straightforward and intuitive. In this chapter, we will show how effortless it can be to develop and use entities. We will start by describing the basic characteristics of entities. We ll define what an entity is and how to create, read, update, and delete it. We ll also introduce entity managers and how they are obtained and used. Then we ll take a quick look at queries and how to specify and execute a query using the EntityManager and Query objects. The chapter will conclude by showing a simple working application that runs in a standard Java SE environment and that demonstrates all of the example code in action.

In distributed computing, an application is divided into smaller parts that run simultaneously on different computers. This is also referred to as network computing because the smaller parts communicate over the network generally using protocols built on top of TCP/IP or UDP The smaller application parts are called tiers. Each tier provides an inde. pendent set of services that can be consumed by the connecting or client tier. The tiers can be further divided into layers, which provide granular-level functions. Most applications have three distinct layers: The presentation layer is responsible for the user interfaces. The business layer executes the business rules. In the process, it also interacts with the data access layer. The data access layer is responsible retrieving and manipulating data stored in enterprise information systems (EISs). The modern state of network computing can be better understood by analyzing the gradual transition of distributed application architecture. In the next few sections, I will examine the transition of distributed architecture with suitable examples.

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