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erformance is an important aspect of all applications; improving the performance of your application is therefore an important task. We have found that many programmers follow their gut feelings in tuning the RDBMS and optimizing Java code without the facts to support their decisions. You can easily add an index here and use a different implementation of a collection there, but the results rarely justify the time spent doing these improvements. In this chapter, we will show you how to write fast and responsive applications from the start. We cannot cover specifics of the algorithms your application will use, but we will show you how to avoid most of the performance and responsiveness pitfalls in Java EE application design. Next, we will show how to use the Spring Framework to its full potential to get the best performance from your application and other components. We will also show you how to effectively control applications running in production mode, including automatic performance management, efficient logging, and the management interface.

The setup script creates the database objects necessary for the EPM Framework. You must run this script in SQLCMD Mode. To do this, in SQL Server Management Studio, select Query from the menu bar, and then select SQLCMD Mode. Once SQLCMD mode is active, you will notice that the items prefaced with a colon in the script become highlighted in gray. This highlighting is helpful because it points out the two variables you will need to change in this script: ServerName and ManagementDatabase, as shown in Figure 8-1. The server name you supply here is the name of the server you have configured in your environment to be the Central Management Server. The management database is the name of the database that the EPM Framework will use to house historical information on your policy evaluations. If you specify a database that does not exist yet, the script will create it for you.

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It is easy to think that good performance automatically means good responsiveness, but that isn t always the case. Imagine an application that performs some complex processing for each web request. The application takes 20 seconds to do the processing, which, because of its complexity, is excellent. However, it can only process one such request at a time. You have an application with excellent performance but poor responsiveness. The first user to make the request will wait for 20 seconds; if another user makes the same request only 1 second later, the application will take 39 seconds to produce a response. While 20 seconds may be acceptable, 40 seconds is far too long. If you then get 20 requests within the first 10 seconds, the last user will have to wait 400 seconds. There is a good chance that the users will not wait so long; they will stop the request in their browsers. Unfortunately, the application server will not be aware of this and will begin working on the users requests even though the users will never see the results. Whenever possible, write your applications to deliver both good performance and adequate responsiveness. If you have a long-running process, change it from an interactive process to a batch process. If it is impossible to make this change, at least consider using AJAX to report on the progress of the processing task. If users know that the application is working (especially if they can see how long they still have to wait), they may be prepared to accept some delays.

6. Michael Azoff, Application Lifecycle Management Making a Difference, February 2007, Enterprise Networks and Services, OpinionWire. 7. The Challenges of Software Change Management in Today s Siloed IT Organizations, a commissioned study conducted by Forrester Consulting on behalf of Serena Software, November 2006.

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