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Computer programs contain thousands of decisions: If this happens, do that unless the other thing happened, then do this first. Programs that contain numerous choices or decisions have more potential to contain failures and are often more difficult to test. One of the most common methods of determining the number of decisions in a program is by using a measurement called cyclomatic complexity. Cyclomatic complexity is a measurement developed by Thomas McCabe [2] that identifies the number of linearly independent paths (or decisions) in a function. A function that contains no conditional operators (such as conditional statements, loops, or ternary operators) has only one linearly independent path through the program. Conditional statements add branches to the program flow and create additional paths through the function. Program maintenance becomes an issue when cyclomatic complexity numbers rise. Psychologists have demonstrated that the average person can hold only five to nine pieces of information in short-term memory at one time; thus, when the number of interrelated choices grows beyond five to nine there is a much higher potential for the programmer to make a mistake when modifying the code. Exceptionally high numbers of decisions can lead to code that is difficult to maintain and even more difficult to test. The most common method of computing McCabe's complexity measurement is by first creating a control flow graph based on the source code, and then calculating a result based on the graph. For example, consider the code in Listing 7-1. Listing 7-1: Simple cyclomatic complexity

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You might need a series of all possible dates between two input dates . Such a series could be used, for example, to populate a time dimension in Analysis Services . An auxiliary table of numbers makes the solution quite simple . I provided the code to create and populate an auxiliary table of numbers in 2, User-Defined Functions . Here s the code to generate the series of dates:

DECLARE @startdt AS DATE = '20090101', @enddt AS DATE = '20091231';

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Note that the Web Application Administration tool is just one option not the only one for setting up the personalization infrastructure. For example, if you re using a custom provider, the setup of your application is responsible for preparing any required storage infrastructure. The use of a membership database with users and roles is important because personalization is designed to be user-specific and because a user ID either a local Windows account or an application-specific logon is necessary to index data. In our example, which uses the default provider, running a wizard from the Web Application Administration tool creates the Access ASPNetDB database in the Data subdirectory of the virtual root.

SELECT DATEADD(day, n - 1, @startdt) AS dt FROM dbo.Nums WHERE n <= DATEDIFF(day, @startdt, @enddt) + 1;

int CycloSampleOne(int input) { int result; if (a < 10) result = 1; else result = 2; return result; }

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If you don t have a Nums table and are not allowed to create new tables, you can use one of the table-valued function implementations that I showed in Inside T-SQL Querying . For example, I presented the following user-defined function (UDF), which accepts the desired number of rows as input and returns a sequence of numbers accordingly:

Although personalization is designed primarily for authenticated users, anonymous users can also store personalization data. In this case, though, a few extra requirements must be fulfilled. In particular, you have to turn on the anonymousIdentification feature, which is disabled by default.

IF OBJECT_ID('dbo.GetNums') IS NOT NULL DROP FUNCTION dbo.GetNums; GO CREATE FUNCTION dbo.GetNums(@n AS BIGINT) RETURNS TABLE AS RETURN WITH L0 AS(SELECT 1 AS c UNION ALL SELECT 1), L1 AS(SELECT 1 AS c FROM L0 AS A CROSS JOIN L0 AS B), L2 AS(SELECT 1 AS c FROM L1 AS A CROSS JOIN L1 AS B), L3 AS(SELECT 1 AS c FROM L2 AS A CROSS JOIN L2 AS B), L4 AS(SELECT 1 AS c FROM L3 AS A CROSS JOIN L3 AS B), L5 AS(SELECT 1 AS c FROM L4 AS A CROSS JOIN L4 AS B), Nums AS(SELECT ROW_NUMBER() OVER(ORDER BY (SELECT 0)) AS n FROM L5) SELECT TOP(@n) n FROM Nums ORDER BY n; GO

Once the function is created, you can use it just like you use the Nums table:

This code is represented by the control flow graph shown in Figure 7-1.

As you ll see in much greater detail in 10, anonymous identification is another new feature of ASP.NET 2.0. The purpose of anonymous user identification is to assign a unique identity to users who are not authenticated. This identity, common to all users, can be used to track the user (and handle

DECLARE @startdt AS DATE = '20090101', @enddt AS DATE = '20091231'; SELECT DATEADD(day, n - 1, @startdt) AS dt FROM dbo.GetNums(DATEDIFF(day, @startdt, @enddt) + 1) AS Nums;