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As always, you need to think about a few things before starting to code. Always keep in mind that when designing a new feature, you must analyze that feature from the final user s perspective. For the visual part, you ll use a text box in which the visitor can enter one or more words to search for. In BalloonShop, the words entered by the visitor will be searched for in the products names and descriptions. The text entered by the visitor can be searched for in several ways: Exact-match search: If the visitor enters an entire phrase, this phrase is searched in the database as it is, without splitting the words and searching for them separately. All-words search: The phrase entered by the visitor is split into words, causing a search for products that contain every word entered by the visitor. This is like the exact-match search in that it still searches for all the entered words, but this time the order of the words is no longer important. Any-words search: Products must contain at least one of the entered words. This simple classification isn t by any means complete. The search engine can be as complex as the one offered by modern search engines, which provides many options and features and shows a ranked list of results, or as simple as searching the database for the exact string provided by the visitor.

I have done tests where I found fixed-dimension arrays perform two to three times faster than the equivalent object-oriented application. However, performance is not always the primary consideration. Also, fixeddimension arrays will not always give you the desired performance boost, because other parts of your code might be much slower. Therefore, generally, you should not use fixed-dimension arrays.

BalloonShop will support the any-words and all-words search modes. This decision leads to the visual design of the search feature (see Figure 8-1).

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The Cells data member is a delegate, or lambda expression, that is defined using code similar to this: static class CellFactories { public static Func<object> DoAdd(Func<object> cell1, Func<object> cell2) { return () => (double)cell1() + (double)cell2(); } public static Func<object> DoMultiply(Func<object> cell1, Func<object> cell2) { return () => (double)cell1() * (double)cell2(); } public static Func<object> Static(object value) { return () => value; } } As you saw in 9, DoAdd() has a lambda expression that employs two other lambda expressions to retrieve the values used to generate an additive result. This setup results in a chain of execution. The sample spreadsheet implementation from 9 would be as follows: Spreadsheet spreadsheet = new Spreadsheet(); spreadsheet.Cells[1, 0] = CellFactories.Static(10.0); spreadsheet.Cells[0, 1] = CellFactories.Static(10.0); spreadsheet.Cells[1, 2] = CellFactories.DoAdd(spreadsheet.Cells[1, 0], spreadsheet.Cells[0, 1]); spreadsheet.Cells[2, 2] = CellFactories.DoMultiply(spreadsheet.Cells[1, 2], CellFactories.Static(2.0)); spreadsheet.Execute(); The code from 9 illustrates a rudimentary example of a spreadsheet and how lambda expressions can be used effectively. In this chapter, the focus will be on how to create a spreadsheet implementation that is effective, mostly object-oriented, and maintainable.

Figure 8-1. The search box The text box is there, as expected, along with a check box that allows the visitor to choose between an all-words search and an any-words search. Another decision you need to make here concerns how the matching products are displayed. The simplest solution to display the search results is to reuse the ProductsList.ascx web control you built in the previous chapter. A sample search page will look like Figure 8-2.

To architect a server spreadsheet, the following requirements must be met: Performance: Wherever possible, the design should not sacrifice performance. Usability: The server-side spreadsheet must be easy to program from a C# perspective. If the server-side spreadsheet is too complex or difficult to understand, then it will not be used properly, potentially incurring errors. Maintainability: The server-side spreadsheet implementation should be somewhat maintainable. Otherwise, bugs could creep into the code, impeding the spreadsheet s effective use. Not listed is the requirement for extensibility. A spreadsheet by itself is not extensible because it implements a certain paradigm, which is a two-dimensional document of numbers and calculations. And if you are wondering where the spreadsheet code comes from, it is a subset of the actual code that I use in my own security trading system.

Figure 8-2. A sample search results page The search results page employs paging, just as the other pages that contain product lists. If there are a lot of search results, you ll only present a fixed (but configurable) number of products per page and allow the visitor to browse through the pages using Previous and Next links. Let s begin implementing the functionality by starting, as usual, with the data tier.

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