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Measuring code performance has changed little over the years you record the time before and after an event and calculate its delta. To achieve this, you need a high-resolution timer, one that can measure the time accurately to the millisecond. The .NET Framework, starting with version 2.0, provides a (in my opinion, well-named) StopWatch class that fits this job perfectly. The StopWatch class attempts to use a hardware-based high-resolution timer (if one is found) or falls back on the system timer otherwise. The StopWatch class actually makes use of kernel32.dll s QueryPerformanceCounter Windows API call to retrieve the time, so these two are functionally interchangeable. It is, of course, a better practice to use the StopWatch class since it is managed code. You can use the StopWatch class in the following manner:

The asynchronous delegate example demonstrates how to execute code on a separate thread. However, this example is wide open to some of the nastier problems of multithreading. The worst part about all these problems is they usually don t appear immediately. Instead, they occur only sporadically under certain conditions, making them difficult to diagnose and solve. To tackle these problems, it helps to consider a sample application. The basic ingredient for any test is a time-consuming process. The following example uses a common algorithm for finding prime numbers in a given range called the sieve of Eratosthenes, which was invented by Eratosthenes himself in about 240 BC. With this algorithm, you begin by making a list of all the integers in a range of numbers. You then strike out the multiples of all primes less than or equal to the square root of the maximum number. The numbers that are left are the primes.

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Additionally, you want to be able to determine how MySQL is attempting to execute SQL statement requests, and perhaps get some insight into why MySQL chooses a particular path of execution From a web application s perspective, you want to know much the same kind of information Which, if any, of your application blocks is taking the most time to execute For a page request, it would be nice to see if one particular function call is demanding the vast majority of processing power If you make changes to the code, how does the performance change Anyone can guess as to why an application is performing poorly You can go on any Internet forum, enter a post about your particular situation, and you ll get 100 different responses, all claiming their answer is accurate.

In this chapter, you won t go into the theory that proves the sieve of Eratosthenes, or see the fairly trivial code that performs it. (Similarly, you won t worry about optimizing it or comparing it against other techniques.) However, you will see how to perform the sieve of Eratosthenes algorithm on a background thread. The full code is available with the online examples for this chapter. It takes this form: public class Worker { public static int[] FindPrimes(int fromNumber, int toNumber) { // Find the primes between fromNumber and toNumber, // and return them as an array of integers. } } The FindPrimes() method takes two parameters that delimit a range of numbers. The code then returns an integer array with all the prime numbers that occur in that range. The Worker class is compiled into a separate DLL assembly. You can then reference it in your client application. To try out the Worker component, you can call the FindPrimes() method synchronously. Figure 20-2 shows a simple test form after a successful search has finished.

Stopwatch _stopwatch = new Stopwatch();

Figure 20-2. A synchronous test of a long-running operation When you specify a search range and click Find Primes, the following code runs:

But, the fact is, until they or you run some sort of diagnostic routines or a profiler against your application while it is executing, everyone s answer is simply a guess Guessing just doesn t cut it in the professional world Using a profiler and diagnostic techniques, you can find out for yourself what specific parts of an application aren t up to snuff, and take corrective action based on your findings..

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