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This is why we have two selectivities in our formula, the effective table selectivity (which combines all predicates available on the index s columns) and the effective index selectivity (which may have to use a subset of the predicates based on the index s leading columns) In this case, the effective index selectivity has to be calculated from the predicate on just the n1 column Because the test on n1 is range-based, the predicates on index_pad and n2 do not restrict the number of index leaf blocks we have to walk Of course, when we finally get to examine an index leaf row, we can use all three predicates to check whether we should go to the table, so the effective table selectivity still includes all three individual column predicates So the effective index selectivity is 0.

Note In Visual Studio and other Microsoft .NET debugging tools, debugger expressions follow the C# syntax,

1633333 (the selectivity we calculated previously for column n1), and the final cost formula is Cost = 2 + Ceiling(01633333 * 1,111) + Ceiling(00081667 * 9745) 184 + 80 = 264 ----blevel 182 80 as expected.

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They can easily complicate matters if all you re trying to do is create a small application with a few forms that will be running on someone s desktop computer (Of course, if that desktop computer is one of hundreds or thousands in a global organization, then the environment may be so complex that an n-tier solution provides simplicity) In short, n-tier architectures help to decrease or manage complexity when any of these are true: The application is large or complex The application is one of many similar or related applications that, when combined, may be large or complex The environment (including deployment, support, and other factors) is large or complex On the other hand, n-tier architectures can increase complexity when all of these are true: The application is small or relatively simple.

When you resize the form, it will behave according to the settings of the Dock and Anchor properties. In the first instance, you set the Dock property of the Label control to Top, which allows this Label control to be affixed to the top border of the form and span the entire width of the form. Setting the Anchor property of the remaining controls to Top, Left, and Right shifts the controls in such a manner that they will maintain a constant distance from the left and right borders of the form.

Now that you ve been introduced to the ASP.NET framework and the usual organization of the code in ASP.NET web applications, you re ready for a more complicated example. The next few pages present a web application that displays data from the standard sample AdventureWorks database. If you don t have the AdventureWorks database installed, you can grab a copy following the instructions at http://msftdbprodsamples.codeplex.com/wikipage title=Installing%20Databases The Visual Studio solution has three projects: a C# library project for the Data Access Object (DAO) layer, an F# library project for the backend logic, and a C# web application project for the webapplication user interface. This organization encourages a better separation of concerns by breaking the parts of the application into separate projects, each of the type that is best suited for the purpose. The Dao project contains a single class representing the AdventureWorks database. You can follow the steps described in 15 and generate the LINQ bindings with the SqlMetal tool, or you can use the Visual Studio support to do the same. To do the latter, create a new C# library project called Dao and a LINQ to SQL Classes item called Dao.dbml to it. Under Server Explorer, you can add a new or select an existing data connection use the one that points to the AdventureWorks database. Open this connection, browse down to the data tables, select all, and move them to the Object Relational Designer surface. Make sure that in the Project Properties, the assembly name and the default namespace are set to Dao. At this point, you can save the project and compile it to create the library for the DAO.

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