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Now that you have the thread wrapper in place, you can derive a new class that overrides DoTask() and OnCompleted() to perform the prime-number calculation: public class EratosthenesTask : ThreadWrapper { ... } The first order of business is getting the input information into the EratosthenesTask class. The easiest approach is to require that the from and to numbers be supplied as constructor arguments: private int fromNumber, toNumber; public EratosthenesTask(int from, int to) { this.fromNumber = from; this.toNumber = to; } This solves the problem of getting the input information into the class. But how do you get the result out The thread wrapper needs to fire some sort of completion event. You could require the client to supply a callback as a constructor argument. However, this example uses an event instead: public event FindPrimesCompletedEventHandler Completed; The event signature defines two parameters the sender and a FindPrimesCompletedEventArgs object that wraps the information about the search range and final prime-number result list.

6. An exception to this would be specific roles such as a backup job user account that requires global RELOAD, LOCK TABLES, and SELECT privileges.

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public delegate void FindPrimesCompletedEventHandler(object sender, FindPrimesCompletedEventArgs e); Now, you simply need to override the DoTask() and OnCompleted() methods to fill in the blanks. The DoTask() method performs the search and stores the prime list in a variable: private string primeList; protected override void DoTask() { // Start the search for primes and wait. int[] primes = Worker.FindPrimes(from, to); // Paste the list of primes together into one long string. StringBuilder sb = new StringBuilder(); foreach (int prime in primes) { sb.Append(prime.ToString()); sb.Append(" "); } // Store the result. string primeList = sb.ToString(); } Notice that in this example, the work is farmed out to the Worker component. This makes for a more streamlined design and simpler coding. However, you might want to change this design to put the prime search code into the DoTask() method. This way, you can add support for progress reporting and cancellation. (The downloadable samples for this chapter [in the Source Code area of the Apress Web site] use this approach.) The OnCompleted() method fires the event: protected override void OnCompleted() { if (Completed != null) Completed(this, new FindPrimesCompletedEventArgs(fromNumber, toNumber, primeList)); } The next ingredient is to create the form that lets the user launch the prime-number searches.

using System;

O(nx) and O(xn) algorithm efficiencies mean that as more elements are added to the input (index size), the index function will return the key less efficiently. The boundary, or worst-case scenario, for index retrieval is represented by the two equation variants, where x is an arbitrary constant. Depending on the number of keys in an index, either of these two algorithm efficiencies might return faster. If algorithm A has an efficiency factor of O(nx) and algorithm B has an efficiency factor of O(xn), algorithm A will be more efficient once the index has approximately x elements in the index. But, for either algorithm function, as the size of the index increases, the performance suffers dramatically.

In this example, the user can launch multiple searches using an MDI interface (see Figure 20-9). Each search is run by a separate instance of the EratosthenesTask class. The MDI form tracks all these wrappers and responds to the completion callback to show the results. The number of ongoing tasks is indicated in the status bar.

Figure 20-9. Performing multiple searches To make this work, you need to use a collection that keeps track of all the wrappers that are currently performing searches. You can add this collection as a member variable to the MDI form: List<EratosthenesTask> workers = new List<EratosthenesTask>(); The window you ve seen in previous example, which included both the search parameters and the search results, now needs to be split into two separate windows. AsyncTestQuery is the window where the user will define the range for a new search. AsyncTextResult is the window that shows the result of a search. When the user launches a new search, you need to show a search window. Once the user clicks OK, you can continue by creating the wrapper, adding it to the collection, and getting it started with the EratosthenesTask.Start() method. private void cmdNewSearch_Click(object sender, EventArgs e) { // Create the window with the controls for choosing the search range. AsyncTestQuery search = new AsyncTestQuery(); // Show the window and wait for OK or Cancel. if (search.ShowDialog() == DialogResult.OK) { // Create the wrapper. EratosthenesTask worker = new EratosthenesTask(search.From, search.To); worker.Completed += new FindPrimesCompletedEventHandler(WorkerCompleted);

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