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hint about how to use LINQ to SQL in a multitier architecture. This is because until now we ve used LINQ to SQL in a RAD1 way. When you develop applications with LINQ to SQL, you can decide to follow one of two directions: Either you use LINQ to SQL transparently all through your application this is the RAD way we ve followed until now or you stick to the traditional three-tier architecture with data access that is built using LINQ to SQL. With the first option, you get all the benefit of LINQ to SQL. With the second option, you get the benefits of having a clearly defined data access layer. Let s describe each option separately. Using LINQ to SQL as your DAL When LINQ to SQL is used in a RAD way, it acts as a kind of a minimal data-access layer. The classes generated from the LINQ to SQL Designer document (the .dbml file) or the SqlMetal tool are the data entities that form the data object model. There is no data access code in these entities. The SQL code that performs the calls to the database to load or save data from the data entities is generated by a LINQ to SQL DataContext based on queries you write in C# or VB. To actually interact with the database, you need to write LINQ queries that LINQ to SQL will convert into SQL queries.

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It s true that by default the data entities generated by the LINQ to SQL designer or the SqlMetal tool are decorated with LINQ to SQL attributes. If you want attribute-free POCOs2 for your data entity classes, you can use the SqlMetal command-line tool to generate a VB or C# source file and a mapping file, as was described in chapter 7.

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We ve stated that when you use LINQ without creating a real data access layer, you can get all the benefits of LINQ to SQL. Let s review these benefits. It allows us to avoid limitations of the data access layer s API. When you re writing an application, you may often realize that each page requires a custom database query. For instance, if on one page you need to display the books that have a long title (for some obscure reason we won t discuss here), then you ll need a specific method in your data access layer that provides this kind of data. Chances are high that this

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Click the Title and Legend buttons on the left under Add to create these elements on your PivotChart. Click on Chart Workspace title that you just added (or choose Title in the Select box on the General tab), click the Format tab, and change the caption to something like Revenue by Month and Department. Notice that you can also change the font, font size, font color, and position of the title on this tab. Go back to the General tab and select Chart Workspace again. Click the Series Groups tab to see the settings in Figure 8-64. On this tab, you can select one or more items in the Series box and create a separate set of plot bars by placing them in their own group. For each group, you can also add an axis and specify its location. Click on group 1 in the lower Add axis box, select Left in the Axis position list, and click the Add button to create the axis. 334

Finally, go back to the General tab and select the four values in the Select box for the Department field one at a time, beginning with Finance. You ll see buttons to Add Data Label, Add Trendline, or Add Errorbar as shown in Figure 8-65. Select Add Data Label for each department name to add the total value at the top of each column.

Therefore, NTFS executes the committed transactions again just to be sure that the disk is up to date After redoing the committed transactions during a file system recovery, NTFS locates all the transactions in the log file that weren t committed at failure and rolls back each suboperation that had been logged In Figure 11-51, NTFS would first undo the T1c suboperation and then follow the backward pointer to T1b and undo that suboperation It would continue to follow the backward pointers, undoing suboperations, until it reached the first suboperation in the transaction By following the pointers, NTFS knows how many and which update records it must undo to roll back a transaction Redo and undo information can be expressed either physically or logically.

RAD (rapid application development) is a software development methodology that involves iterative development and the construction of prototypes. Traditionally the RAD approach involves compromises in usability, features, and/or execution speed. POCO means Plain-Old CLR Objects. This term is used to contrast a class or an object with one that is designed to be used with a specific framework such as an object-relational mapper.

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