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In many cases, LINQ to SQL may serve the need for CRUD operations in our applications. As we ve already pointed out, direct table access can be insufficient. To accommodate this, LINQ to SQL allows access to extra processing power via stored procedures and user-defined functions in the database. Other times, the business model requires more complex entity structures than are available with one-to-one table to object data mappings. Frequently with larger database structures, the database will perform better with a more normalized structure. That normalized structure may or may not represent an optimal structure for our business entities. In those cases, we can flatten our table structures by using database views. Figure 8.9 illustrates such a case. In this example, we add one more table to our running database structure. This new table stores addresses. With it, we can store addresses for any number of associated tables. In figure 8.9, we show how the Address table can store information for both the Author and Publisher.

We emphasized the importance of disciplined application layering in chapter 1 Layering helps you achieve separation of concerns, making code more readable and maintainable by grouping functionality that does similar things On the other hand, layering carries a price: each extra layer increases the amount of code it takes to implement a simple piece of functionality and more code makes the functionality more difficult to change We won t try to form any conclusions about the right number of layers to use (and certainly not about what those layers should be) because the best design varies from application to application, and a complete discussion of application architecture is well outside the scope of this book We merely observe that, in our opinion, a layer should exist only if it s required, because layers increase the complexity and cost of development.

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this list one at a time to the loop variable $f and then executes the statement list with this variable set. At the end of the statement, $f will retain the last value that was assigned to it, which is the last value in the list. Compare this example to the for loop example at the end of the previous section. Because we don t have to manually deal with the loop counter and explicit indexing, this example is significantly simpler.

CREATE PROCEDURE bit_search_two @wild varchar(50) AS SET NOCOUNT ON DECLARE @bitmask bigint SELECT @bitmask = dbo.char_bitmask(@wild) SELECT FROM WHERE AND person_id, first_name, last_name, birth_date, email persons email_bitmask >= @bitmask CASE WHEN email_bitmask & @bitmask = @bitmask THEN patindex('%' + @wild + '%', email) ELSE 0 END > 0

But we agree that a dedicated persistence layer is a sensible choice for most applications and that persistence-related code shouldn t be mixed with business logic or presentation In this section, we ll show you how to separate NHibernate-related code from your business and presentation layers The example is based on a console application, but it will be easy to reuse this persistence layer in another (web or Windows) application..

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I ve been running more than 100 miles per week for 14 years. To take in enough daily carbohydrates, I ve become not so much a foodie as a doughie. Monday to Friday I run in the evening after work. So by the time I begin making dinner, it s pretty late. To save some time, I typically go with soda leavening rather than yeast. One of my favorite late-night soda breads is leavened with soda, cream of tartar, and Organic Valley pourable vanilla yogurt, which is drinkable like kefir but tastes like yogurt: 2 cups Bob s Red Mill organic whole wheat pastry flour 1/3 cup blanched almonds, freshly ground into fine flour 1 tsp. Saigon cinnamon 2 tsp. minced lemon zest 1/4 tsp. sea salt 1 tsp. soda 1 tsp. cream of tartar 1 cup Organic Valley pourable vanilla yogurt 1 egg 1 1/4 cups fresh wild blueberries

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