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In the upper part of the window is a blank text box in which you can build an expression. You can type the expression yourself, but it s sometimes more accurate to find field names, oper240

SELECT [t0].[ID], [t0].[Description], [t0].[Name], [t1].[ID] AS [BookId], [t1].[Isbn], [t1].[Notes], [t1].[PageCount], [t1].[Price], [t1].[PubDate] AS [PublicationDate], [t1].[Summary], [t1].[Title], [t1].[Subject] AS [SubjectId], [t1].[Publisher] AS [PublisherId], ( SELECT COUNT(*) FROM [dbo].[Book] AS [t2] WHERE [t2].[Subject] = [t0].[ID] ) AS [count] FROM [Subject] AS [t0] LEFT OUTER JOIN [dbo].[Book] AS [t1] ON [t1].[Subject] = [t0].[ID] ORDER BY [t0].[ID], [t1].[ID]

Creating and Working with Simple Queries ators, and function names in the three list boxes in the lower part of the window and to use the various expression operator buttons just below the text box. The expression you need to build, which I ll walk you through in detail in the next few pages, will ultimately look like this:

((DateDiff("d", [tblReservations]![CheckInDate], [tblReservations]![CheckOutDate] ) \ 7) * [WeeklyRate]) + ((DateDiff("d", [tblReservations]![CheckInDate], [tblRes ervations]![CheckOutDate]) Mod 7) * [DailyRate])

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You can use the Expression Builder to help you correctly construct this expression. Start by double-clicking the Functions category in the left pane, then click Built-In Functions to see the list of function categories in the center pane, and the list of functions within the selected category in the right pane. Click on the Date/Time category to narrow down the choices. Here you can see the DateDiff function (that you used earlier) as well as several other builtin functions you can use. (You can find a list of the most useful functions and their descriptions in Article 3 on the companion CD.) Double-click the DateDiff function to add it to the expression window in the top of the Expression Builder. When you add a function to your expression in this way, the Expression Builder shows you the parameters required by the function. You can click any parameter to highlight it and type in a value or select a value from one of the lists in the bottom panes. Click <<interval>> and overtype it with "d". (See Table 7-3 for a list of all the possible interval settings.) You need to insert the CheckInDate field from tblReservations for <<date1>> and the CheckOutDate field for <<date2>>. Click <<date1>> to highlight it and doubleclick the Tables list to open up the list of table names. Scroll down until you find tblReservations and click it to see the list of field names in the second pane. Double-click CheckInDate. Then click <<date2>>, and double-click CheckOutDate. You don t need the <<firstweekday>> or <<firstweek>> parameters, so click on them and press the Delete key to remove them. (You can also remove the extra commas if you like.) The Expression Builder should now look like Figure 7-21.

Figure 7-21. Creating a calculation using table field names in the Expression Builder window. (The remainder of the expression is hidden to the right.)

By specifying the DataLoadOptions of the data that we want to access, we eliminate the multiple subqueries that were necessary with the previous lazy loaded implementation This should provide much-improved interaction between our client application and the database Of course, if we know we won t need the books, we shouldn t fetch them, but if we know we will need to work with the books for each category, we can load them up-front and provide a more responsive application Be aware that the load options can be set only once on an instance of a context Once set, they cannot be changed for that instance Using the DataLoadOptions offers powerful control over the desired results, but take more care when using it Simply by specifying the DataLoadOptions, we do not eliminate the multiple fetches if we try to iterate over our results twice.

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In order to finish our optimization, we can combine the DataLoadOptions with the ToList method Using both of these together, we can make sure that we access our database once and ensure that the subjects and books are joined properly Using joins gives LINQ to SQL a powerful ability to drill into data Whether we choose to work in an object-oriented manner or mimic relational interaction, we can specify the mapping once and then focus on the business needs We do need to be careful and check the underlying database interaction to make sure we re optimizing it as we should In many simple operations, the default behavior is fine However, there are times when refactoring our code can produce dramatic improvements in the resulting implementation.

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