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So far, we have taken only a cursory look at the proxies generated by ProxyFactory. We mentioned that there are two types of proxy available in Spring: JDK proxies created using the JDK Proxy class and CGLIB-based proxies created using the CGLIB Enhancer class. Understanding the differences between these proxies is key to making the AOP code in your application perform as well as it can. In this section, we take a detailed look at the differences between the proxies and how these differences affect the performance of your application. You may be wondering exactly what the difference is between the two proxies and why Spring needs two different types of proxy. Prior to version 1.1 of Spring, the two types of proxy shared much in common in the way they were implemented, and the performance of both types of proxy was very similar. There are two types of proxy because of the poor performance of Proxy under JDK 1.3. Spring overcame this by providing CGLIB proxies, which performed better than the JDK 1.4 proxies when running on a version 1.3 JVM. The initial intention of the CGLIB proxy was to overcome the performance issues of the Proxy class in JDK 1.3, so the implementation was as similar to the JDK proxy as possible. The only drawback with this was that Spring was not taking full advantage of the feature set available with CGLIB. In version 1.1, things have changed dramatically. The CGLIB proxy is now heavily optimized and outperforms the JDK proxy quite dramatically in many cases. Before we take a look at the differences in proxy implementations, we must make sure you understand exactly what the generated proxies have to do.

In most applications, you need to deal with potentially large result sets. For performance and usability reasons, displaying the entire result set at once is often unacceptable. You need to implement some kind of paging mechanism, and you have two fundamental choices: either leave the presentation layer to deal entirely with the paging or add support for paging to all layers. While the first option is the easier to implement (indeed, with projects like DisplayTag, you add one attribute to a JSP tag, and all your paging is done), such approaches could suffer from severe performance and memory usage limitations. Imagine calling a service method that returns thousands of objects each time you want to display one page of the result all these objects are collected from the database and then the presentation layer pages them. Or if the presentation layer has to keep thousands of large objects in memory so it can perform the paging correctly, a memory usage problem would be expected. So, while using presentation layer paging as a short-term fix is possible, the long-term solution should use an approach similar to the one we will show now. Let s begin by looking at Figure 8-15; it shows a typical data flow without paging support.

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The problem in the Shinsei Bank was that the IT infrastructure was antique and had problems supporting even the existing business in a good way, never mind being able to support the new solution Yashiro got more or less carte blanche in transforming the business into a bank that could scale with growth and adapt to new opportunities Even so, that did not mean that he had unlimited resources in terms of time or money, so he had to find effective ways to transform the bank He started by gathering a group of people whom he knew had the skills necessary to help him succeed in his mission Many of these were people Yashiro had previously worked with and knew well.

Figure 8-15. Typical design with no support for paging Now, you can see that the Controller uses the ResultService (and indirectly its implementation, the DefaultResultService) to perform some kind of search and gets a List of Result object back. The data access layer (defined by the ResultDao and implemented in HibernateResultDao) acts on the requests of the DefaultResultService, goes to the database, and fetches all Result objects that matched the search strings. Unfortunately, this means that any paging must be left to the presentation tier (the Controller or a JSP page). The widely accepted solution to this problem is to pass a search argument object to the service and DAO layers and receive a search result back. The argument will include the first record and a maximum number of records to fetch; the result will include up to a maximum number of Result objects and a number of total Result objects. Because the search argument and result objects are likely to be very similar for various types of searches, expressing them as abstract classes can be useful, as illustrated in Figure 8-16.

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