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With this code, you should be able to develop more sophisticated forms without having to worry about the normal problems of posting pages back to the server. With the ability to extend this script to act on multiple combinations of selection lists, your users can drill down more precisely through several layers of options to obtain the information or products they are looking for. Finally, we did some refactoring of the code to build ourselves an industrialstrength component to facilitate reuse and customization down the road. From our perspective, we ve encapsulated this functionality in a reusable component and won t ever need to write it again. From our users perspective, they won t be getting that screen that says the product is not available when buying items from our online store. Everybody s happy.
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This chapter covers
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Type-ahead suggest Caching search results on the client Rico library Prototype library JavaScript apply() function Parameterizing components
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Type-ahead suggest is one of the main applications of Ajax that has helped put Ajax into the mainstream world of programming. Google Suggest amazed people as they discovered a list of choosable suggestions appearing while they were typing (and even now, several months later, it still gives a buzz). It is as if a little helper is sitting next to you and telling you what you are looking for. Some people first thought they were storing values on the page, and others thought they were using a hidden IFrame to get the data. Google was actually using the XMLHttpRequest object to obtain the values for each keystroke. In this chapter, you ll learn how to send Ajax requests while the user is typing. We also examine the flaws of the available type-ahead suggest implementations and find ways to avoid these pitfalls in our application. At first we take a low-level approach that is easy to understand. After we get our application functioning, we reexamine it at a higher level, and use an object-oriented approach to gain more flexibility and usability. Before we build the application, though, let s take a quick look at some of the typical type-ahead suggest features, and how we will design our application to use the best of those features.
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10.1 Examining type-ahead applications
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Since Ajax has become popular, the type-ahead suggest has been one of the most sought-after pieces of code. Many people have created different versions of the type-ahead suggest that handle the interaction with the server in many ways. A lot of the solutions out there have flaws, while others go way overboard. We first evaluate some of the functionality in many type-ahead suggest applications and then take a quick look at Google Suggest. After that, we'll design our application.
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10.1.1 Common type-ahead suggest features Numerous type-ahead applications are available, from basic to advanced. Each of them does the same basic thing; some have fancy interfaces with fading transition effects. If you do a search for type-ahead suggest Ajax, you will find plenty of examples. If you look at a few of them, you should see that they all perform the same type of actions:
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You type a character. The type-ahead makes a request to the server. It returns data to the client. The client takes that data and displays the results in the table, div, textbox, or some other format.
Examining type-ahead applications
However, there are things that some of the scripts do not handle well. Developers need to take into consideration bandwidth, server capacity, and the client s configuration. If you forget about these factors, Ajax may hurt your user s experience instead of improving it. The problems listed in table 10.1 are very common with Ajax applications.
Table 10.1 Problems with type-ahead suggest Result Large bandwidth consumption. Imagine the server-side bandwidth required for 1,000 users typing 10-characters words. Requests are hitting the database each time even though they are returning a subset of data they already have. Yes, there are still people who dial in, and these users may see a lag in response time. Not limiting the results can send too much data to the client, slowing down response time. Fancy interfaces can be bad if they take a long time to render. Some people can type fast. Certain type-ahead scripts have problems if the user is not a hunt-and-peck typist.
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