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This example demonstrates ordering the query results by columns ProductID and EndDate: SELECT p.Name, h.EndDate, h.ListPrice FROM Production.Product p INNER JOIN Production.ProductListPriceHistory h ON p.ProductID = h.ProductID ORDER BY p.Name, h.EndDate This query returns: Name -------------------------------------------------All-Purpose Bike Stand AWC Logo Cap AWC Logo Cap AWC Logo Cap more rows Women's Tights, L Women's Tights, M Women's Tights, S (395 row(s) affected) The default sorting order of ORDER BY is ascending order, which can be explicitly designated as ASC too. In this next example, DESC is used to return the results in reverse (descending) order: SELECT p.Name, h.EndDate, h.ListPrice FROM Production.Product p INNER JOIN Production.ProductListPriceHistory h ON p.ProductID = h.ProductID ORDER BY p.Name DESC, h.EndDate DESC This returns the following abridged results: Name -------------------------------------------------Women's Tights, S Women's Tights, M Women's Tights, L ... AWC Logo Cap AWC Logo Cap All-Purpose Bike Stand (395 row(s) affected) This third example demonstrates ordering results based on a column that is not used in the SELECT clause: SELECT p.Name FROM Production.Product p EndDate ----------------------2003-06-30 00:00:00.000 2003-06-30 00:00:00.000 2003-06-30 00:00:00.000 ListPrice --------74.99 74.99 74.99 EndDate ----------------------NULL NULL 2002-06-30 00:00:00.000 2003-06-30 00:00:00.000 ListPrice --------159.00 8.99 8.6442 8.6442

For all these operations, I ll use the point 50,50, which is in the center of the rectangle as the point argument.

1 returned 100% 1: 22: printf("\n"); 0 returned 100% 1: 23: return(0); -: 24:}

2003-06-30 00:00:00.000 74.99 2003-06-30 00:00:00.000 74.99 2003-06-30 00:00:00.000 74.99

The construction of the branch percentages around the for loop in Listing 6-4 and its call to the printf() and calc_fib() functions is interesting You can see that the for statement was executed 12 times, the last of which it exited, so this line was executed 11 out of 12 times, or 92 percent of the time Of the 11 times the loop body was executed, the loop exited the single time the test was false, or 100 percent of the time the exit condition was satisfied The increment operation was executed each time the for loop was executed, which was 11 out of 11 times, or 100 percent of the time The printf() call and its internal call to the calc_fib() routine were each executed 11 out of 11 times; so both of these were executed 100 percent of the time.

In addition to SQL Server and database level collation settings, you can also configure individual columns with their own collation settings. If you need to store character data in a column that uses a different default collation than your database or server-level collation, you use the COLLATE command within the column definition. The Windows or SQL collation can be explicitly defined during a CREATE TABLE or ALTER TABLE operation for columns that use the varchar, char, nchar, and nvarchar data types. Collations define three settings: A code page used to store non-Unicode character data types The sort order for non-Unicode character data types The sort order for Unicode data types Your SQL Server instance s default collation was determined during the install, where you either used the default-selected collation, or explicitly changed it. The next two recipes will demonstrate how to view information about the collations on your SQL Server instance, as well as define an explicit collation for a table column.

You can determine your SQL Server instance s default collation by using the SERVERPROPERTY function and the Collation option. For example: SELECT SERVERPROPERTY('Collation') This returns (for this example s SQL Server instance): SQL_Latin1_General_CP1_CI_AS (1 row(s) affected) In addition to the SQL Server instance s default collation settings, your database can also have a default collation defined for it. You can use the DATABASEPROPERTYEX system function to determine a database s default collation. For example, this next query determines the default database collation for the AdventureWorks database (first parameter is database name, second is the Collation option to be viewed): SELECT DATABASEPROPERTYEX ( 'AdventureWorks' , 'Collation' ) This returns the following collation information for the database (which in this example is going to be the same as the SQL Server instance default until explicitly changed): SQL_Latin1_General_CP1_CI_AS (1 row(s) affected)

All of these statistics help you get a feel for the execution path that a given test run takes through your application This not only shows which code is being used, but also helps you identify dead (unused) code, or code paths that you had expected to be taken more frequently The branch percentages displayed in the annotated source file show the number of times the branch was called divided by the number of times the branch was executed Using gcov s -c option in conjunction with the -b option causes the branch counts in the annotated source code to be measured absolutely rather than as a percentage The output of the command is the same, as shown in the following output sample, but Listing 6-5 shows the difference in the contents of the fibonaccicgcov file Listing 6-5 Annotated Source Code Showing Absolute Branch Counts -: 0:Source:fibonacci.