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11 . . Now start adding validators . Add a RequiredFieldValidator control for the first name by dragging an instance of RequiredFieldValidator on the page just to the right of the TextBoxFirstName . In the properties for the first name validator control, find the ControlToValidate property and select the TextBoxFirstName control . Set the ErrorMessage property to a useful error message such as Please give your first name . 12 . . As with the first name text box, add a RequiredFieldValidator control for the last name . In the properties for the last name validator control, again find the ControlToValidate property and select the TextBoxLastName control . Set the ErrorMessage property to a useful error message such as Please give your last name . 13 . . Add RequiredFieldValidator controls for the address, postal code, the phone number, the password, and the age text boxes . 14 . . In the properties for the postal code validator control, and as before, find the ControlToValidate property and select the TextBoxPostalCode control . Set the ErrorMessage property to a useful error message such as Please give your postal code .



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FIGURE 9-15 Execution plan for the query in Listing 9-12

The IConvertible interface also includes the GetTypeCode member. GetTypeCode returns a member of the System.TypeCode enumeration that uniquely identifies the implementing type. Although the inbuilt numeric types implement IConvertible, explicit interface implementation means it is not possible to invoke IConvertible members through an instance of the numeric type. The .NET documentation recommends conversion of numeric types be carried out using the static members of the System.Convert utility class as opposed to invoking IConvertible members directly. Alternatively, the implicit and explicit conversion support in C# is sufficient for most purposes. We'll discuss the System.Convert class later, in the "Converting Numbers" section.

You will see that the index on orderdate is used. The I/O cost of this query is six logical reads. Creating an index on both columns (orderdate, orderid) is even better:

. .

CREATE INDEX idx_dt_oid ON dbo.MyOrders(orderdate, orderid);





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Aside from the methods required by the interface implementations described earlier, all numeric types implement the members described in Table 8-1.

Run the query in Listing 9-11, which uses the OR logic. You will see in the plan, shown in Figure 9-16, that the new index is used. The I/O cost for this plan is six logical reads.

The first way to manage cached items is to give them expiration thresholds . In some cases, you might be aware of certain aspects of your cached data that allow you to place expiration times on it . The Cache supports both absolute expirations and sliding expirations .

Run the query in Listing 9-12, which uses the AND logic. You will see the plan shown in Figure 9-17, which might seem similar, but it yields even a lower I/O cost of only four logical reads.

Member Public Fields MaxValue MinValue Methods Equals()

9

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The conclusion is, of course, that SQL Server can optimize AND logic better than OR logic. All the solutions I presented in this chapter would be better off in terms of performance if you transformed their OR logic to AND logic. Similarly, you might be able to achieve such transformations with other logical expressions. Another conclusion is that it s better to have an index on all columns determining precedence. The problem is that in production environments you can t always afford it.

. . . 1 . . To try out absolute expirations, add a new page to the UseDataCaching site named CacheExpirations .aspx . 2 . . Use Website, Add Existing Item to bring the QuoteCollection .cs file from the CD accompanying this book and make it part of this project . 3 . . Drag a GridView onto the CacheExpirations page, as shown in the following graphic . Don t bind it to a data source yet . You handle that in the Page_Load method .

Description Constant containing the maximum value representable by the numeric type. Constant containing the minimum value representable by the numeric type.

in InsideTSQL2008, with simple and recognizable data. With such tables, the differences in logical reads that you see when testing your solutions are small. In real performance tests and benchmarks, you should use more realistic table sizes as your test data, such as the test data I used in 4. For example, if you use the GetNextPage procedure, which returns the next page of orders, you see very small I/O differences between OR logic and the AND logic, as I ll present shortly. But when I tested the solution against an Orders table with about a million rows, the OR implementation costs more than 1,000 logical reads, while the AND implementation costs only 11 logical reads, physically accessing only the relevant page of orders.

When you re done, don t forget to get rid of the MyOrders table created for these examples:

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