SELECT LastName FROM Customer1 EXCEPT SELECT LastName FROM Customer2 in .NET framework

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SELECT LastName FROM Customer1 EXCEPT SELECT LastName FROM Customer2
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The preceding query will return the name Johnson The names Smith and Jones both have a match in the two queries, but the name Johnson only exists in the left table, not in the right It is an exception Can you guess what the result will be if you switch the tables It won t be the same answer Look at this query:
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SELECT LastName FROM Customer2 EXCEPT SELECT LastName FROM Customer1
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Now, the query on the left is the Customer2 query Again Smith and Jones have matches in both queries, but the exception in the Customer2 table is the name Gibson The EXCEPT and INTERSECT operators have just a couple of basic rules
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The number and the order of the columns must be the same in all queries The data types of the columns must be compatible
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PIVOT and UNPIVOT
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The PIVOT and UNPIVOT relational operators are enhancements to T-SQL in SQL Server 2005 They can be used to rotate results, or said another way, change the result sets
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4: Transact-SQL
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so that the columns become rows or the rows become columns The result is called a cross-tab report and the query is called a cross-tab query A cross-tab query can restructure and recalculate data for different reporting or analysis requirements It can be used to aggregate normalized data and present it in a more meaningful way Although the same results were possible before SQL Server 2005, the introduction of PIVOT and UNPIVOT operators allows the code to be simpler While normalized data often works best for performance of a database, to retrieve the data and display it, we want something more like a spreadsheet similar to Microsoft Excel PIVOT can take normalized data and display it like a spreadsheet UNPIVOT can display data this is stored as a spreadsheet and display it in a normalized fashion EXAM TIP If you need to create a cross-tab report, or need to display normalized data in a spreadsheet like format, use PIVOT to retrieve and reformat the output For example, let s say management is interested in how many purchase orders have been placed by certain employees named Pellow, Kurjan, Hagens, and Miller to specific vendors We can query the Contact and Employee tables to get their EmployeeID (238, 241, 244, and 261, respectively) Using the following SELECT statement, we could query this information from the PurchasingPurchaseOrderHeader table However, you can see from the output that it isn t very meaningful
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SELECT VendorID, PurchaseOrderID, EmployeeID FROM PurchasingPurchaseOrderHeader WHERE EmployeeID IN ( 238, 241, 244, 261 ) ORDER BY VendorID
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A partial result is listed in Figure 4-19
Figure 4-19 The partial output of a query without PIVOT
Instead, we could reformat the query using PIVOT to list how many purchase orders were placed to specific vendors by these employees We re still pulling the data out of
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the normalized PurchasingPurchaseOrderHeader table, but we are presenting it in a much more meaningful way
USE AdventureWorks; GO SELECT VendorID, [238] AS Pellow, [241] AS Kurjan, [244] AS Hagens, [261] AS Miller FROM (SELECT PurchaseOrderID, EmployeeID, VendorID FROM PurchasingPurchaseOrderHeader) p PIVOT ( COUNT (PurchaseOrderID) FOR EmployeeID IN ( [238], [241], [244], [261] ) ) AS pvt ORDER BY VendorID
Figure 4-20 shows a partial output from this query From a business perspective, a business manager may recognize the strength of changing which buyers purchase from which vendors If instead of four buyers buying a company s product, all the purchases could be funneled to a single buyer so she can leverage a better price
Figure 4-20 PIVOT partial output
The UNPIVOT operator could be used to reverse the process It s similar to the PIVOT operator in that it allows you to rotate data and convert rows into columns However, UNPIVOT is most useful when you have data stored in a spreadsheet fashion and you want to present it as normalized data
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