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The ExcelDB_Ch02_02.doc file in the Source Code/Download section of the Apress web site, http://www.apress.com, contains a version of the questions in the preceding How To section. You could use this file in helping you select and purchase your database management system, and also to help you better design your database.

Once again, we can see that the optimizations yield a significant increase, knocking more than one-third from the execution time. We can conclude that the folk wisdom regarding variable resolution and the use of too many dots is correct. It s reassuring to have checked it out for ourselves. However, when we look at the entire pipeline of calculation and rendering, the optimization takes 760 ms, as opposed to the original s 796 ms a savings closer to 5 percent than 40 percent. The rendering subsystem, not the calculation subsystem, is the bottleneck in the application, and we can conclude that, in this case, optimizing the calculation code is not going to yield great returns. This demonstrates the broader value of profiling your code. It is one thing to know that a piece of code can be optimized in a particular way and another to

let values (external)

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know what the expected returns of such an operation would be. It might be tempting to conclude that DOM operations are roughly eight times more costly than pure JavaScript calculations, but that holds true only for this specific example. You may well find that to be the case in many situations, but a rule of thumb is best supplemented by a few measurements and preferably on a range of different machines and browsers. We won t spend more time now on profiling and execution speed. The examples that we have run through should give you a feel for the benefits that profiling can provide on your Ajax projects. Let s assume that your code is running at a satisfactory speed thanks to a bit of profiling. To ensure adequate performance, you still need to look at the amount of memory that your application is using. We ll explore memory footprints in the next section.

The purpose of this section is to introduce the topic of memory management in Ajax programming. Some of the ideas are applicable to any programming language; others are peculiar to Ajax and even to specific web browsers. A running application is allocated memory by the operating system. Ideally, it will request enough to do its job efficiently, and then hand back what it doesn t need. A poorly written application may either consume a lot of memory unnecessarily while running, or fail to return memory when it has finished. We refer to the amount of memory that a program is using as its memory footprint. As we move from coding simple, transient web pages to Ajax rich clients, the quality of our memory management can have a big impact on the responsiveness and stability of our application. Using a patterns-based approach can help by producing regular, maintainable code in which potential memory leaks are easily spotted and avoided. First, let s examine the concept of memory management in general.

let-bound values are often public when following traditional functional design patterns. However, generally use PascalCase when the identifier can be used from other .NET languages. Boolean properties generally use Is and Can and should be affirmative, as in IsEndOfFile, not IsNotEndOfFile.

Now you have determined what goals, results, or outcomes you need your data to help you achieve. You have determined your requirements for collecting, storing, analyzing, and maintaining your data. You have also selected a database format and a database management system. Now you are ready to design your data tables, data fields, and, where applicable, your data table relationships.

public double addAreas(Shape s1, Shape s2){ return s1.getArea()+s2.getArea(); }

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