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Building Complex Queries In general, you should use as columns those fields that have the fewest values. If you place too many values across your PivotTable, you ll find that you must scroll left a long way to see all the details. In this case, we re interested in statistics by month, and we know there are only three months of data in the underlying recordset. You ll still be able to show the details by day, if you like, because the recordset includes information by date you can expand any Months field to show all the days in the month. We might want to see the data organized by department and facility. It might also be interesting to provide an easy way to filter on employee name, but we don t need the data from that field displayed in the table. Open the DateValue By Month list and drag Months to the Column Fields drop zone. Drag the Department field and the FacilityName field to the Row Fields drop zone. Drag and drop the EmpName field on the Filter Fields drop zone. Finally, drag and drop the ReservationID and DailyCharge fields on the Totals or Detail Fields drop zone. Notice that fields you choose are now highlighted in bold in the PivotTable field list. Within the PivotTable, you can click any plus sign (+) to expand a category or display details, or any minus sign ( ) to collapse a category or hide details. If you expand Months in the Column Fields drop zone, the PivotTable automatically adds a Days field to the Columns area. You can also expand the categories in the PivotTable Field List window by clicking the plus sign next to each category. Your PivotTable should look like Figure 8-57.

Now would be a good time to take a quick look at the buttons available on the toolbar that are applicable to PivotTables. Table 8-3 on the next page shows you the details.

The impact of the use of LINQ to SQL may be so profound that we may have to reconsider the very nature of a data access layer. Let s start with a refresher on the traditional three-tier architecture and data access layer. We ll then throw LINQ to SQL in and analyze the impacts on such architectures. Finally, we ll depict the way we use LINQ to SQL in LinqBooks through some code samples.

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You probably already know how a multitier architecture is structured, but it s good to quickly go over the basic principles to ensure that we re speaking about the same things. While you can use several tiers in a multitier architecture, we ll focus here on the three-tier architecture because it s sufficient for discussing the impact of LINQ to SQL on such an architecture. A three-tier architecture is any system that enforces a general separation between the following three parts:

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Figure 13.5 The traditional three-tier application architecture, with its presentation, business logic, and data access layers, as well as the optional object models that may be used with it

When highlighted, indicates automatic filtering is active for the PivotTable. You can click this button to remove all filters. If you define a filter, this button becomes highlighted again. You can select a column or row field and then click this button to define a filter to display only the first or last number or percentage of rows. This feature works similarly to the Top Values property of a query. You can select a column, row, or detail/total field and then click this button to insert an aggregate function. The available list of functions includes those you can use in totals queries except for First and Last. (See Table 8-1, page 297.) The functions available in AutoCalc are appropriate to the field data type and location on the grid. (For example, you can t Sum a text field.) You can click on a column or row field and then click this button to insert a subtotal based on the values in that field. You must define an AutoCalc field before you add a subtotal. You can click this button to insert an expression in the detail/total area that calculates an additional value based on the fields in the recordset. After you insert AutoCalc total fields, you can click in a field and then click this button to convert the value to a percentage of the row, column, or grand totals. Click on a row or column field and click this button to collapse all subcategories for this field and show summaries only. Performs the opposite of Collapse. Hides the details for the selected row or column and shows only totals. Performs the opposite of Hide Details. Refetches the underlying data. You might need to do this if others are sharing the data and updating it.

Export to Microsoft Exports your PivotTable in XML format to an HTML (.htm, .html) file Excel and opens it in Microsoft Excel. Field List Properties Opens or closes the PivotTable field list. Opens or closes the Properties window.

The NTFS recovery mechanism uses similar log record types as the TxF recovery mechanism: update records, which correspond to the redo and undo records that TxF uses, and checkpoint records, which are similar to the restart records used by TxF. Figure 11-51 shows three update records in the log file. Each record represents one suboperation of a transaction, creating a new file. The redo entry in each update record tells NTFS how to reapply the suboperation to the volume, and the undo entry tells NTFS how to roll back (undo) the suboperation.

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