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To add a new task to the queue, the client simply calls EnqueueTask(). This method doesn t start the work instead, it adds it to the collection of queued requests. public void EnqueueTask(ThreadWrapper task) { lock (workersQueued) { workersQueued.Add(task); } } The magic happens in the AllocateWork() method, which runs continuously on a lowpriority thread. The TaskManager doesn t actually create this thread and start allocating work until the client calls StartAllocatingWork(). private Thread allocateWork; private bool working = false; private Control invokeContext; public void StartAllocatingWork(Control invokeContext) { if (!working) { this.invokeContext = invokeContext; allocateWork = new Thread(new ThreadStart(AllocateWork)); allocateWork.Priority = ThreadPriority.BelowNormal; allocateWork.IsBackground = true; working = true; allocateWork.Start(); } } There s another important detail here. When the client calls AllocateWork(), it passes in a reference to the current form. The TaskManager uses this to call Control.Invoke() before raising any events. That way, the events are always raised on the user interface thread, and the client application is completely insulated from the threading complexities. The AllocateWork() method has the bulk of the work. It walks through the three collections of ThreadWrapper objects. It performs its work in a continuous loop, sleeping for a few seconds after each pass to allow other threads to do some work. private void AllocateWork() { while (true) { // (Allocate work, check for completed items, and report progress here.) Thread.Sleep(TimeSpan.FromSeconds(5)); } } The AllocateWork() method performs three tasks in its loop. First it removes completed tasks and fires the appropriate completion events.

Note that the data set is not ordered by any of the fields in our table, but by the order of the internal record identifier This is important because your record sets are not always stored on disk in the order you might think they are Many developers are under the impression that if they define a table with a primary key, the database server actually stores the records for that table in the order of the primary key This is not necessarily the case The database server will place records into various pages within a data file in a way that is efficient for the insertion and deletion of records, as well as the retrieval of records.

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{ private static AssemblyQualifiedTypeNameConverter typeConverter = new AssemblyQualifiedTypeNameConverter(); /// <summary> /// Default name for the Sql managed provider. /// </summary> public const string DefaultSqlProviderName = "System.Data.SqlClient"; /// <summary> /// Default name for the Oracle managed provider. /// </summary> public const string DefaultOracleProviderName = "System.Data.OracleClient"; /// <summary> /// Default name for the ODP.NET managed provider. /// </summary> public const string DefaultOracleNETProviderName = "Oracle.DataAccess.Client"; . . . }

for (int i = workers.Count-1; i >= 0; i--) { if (workers[i].Status == StatusState.Completed) { ThreadWrapper worker = workers[i]; lock (workersCompleted) { workersCompleted.Add(worker); } workers.Remove(worker); // Fire notification event on the user interface thread. invokeContext.Invoke(new WorkerCompletedEventHandler(OnWorkerCompleted), new object[] {this, new WorkerCompletedEventArgs((EratosthenesTask)worker)}); } } This code loops through the collection in reverse order, so that a single pass can remove entries without rearranging the items that haven t been scanned yet. You ll notice that the collection isn t locked while it s being scanned. That s because the AllocateWork() method is the only piece of code that touches this object. On the other hand, the workersCompleted collection does need locking, because you may want to provide another method that extracts this information later on. If you haven t reached the maximum number of in-progress tasks, the next step is to move tasks from the queue to the current collection, and start them: // Allocate new work while threads are available. while (workersQueued.Count > 0 && workers.Count < maxThreads) { ThreadWrapper task = null; lock (workersQueued) { task = workersQueued[0]; workersQueued.RemoveAt(0); } workers.Add(task); task.Start(); } Once again, you don t need to lock the workers collection, but you do need to lock the workersQueued collection, because the application could be in the process of queuing up a new task. Finally, progress notifications are fired for all the tasks that are in progress.

// Report progress. for (int i = workers.Count - 1; i >= 0; i--) { ThreadWrapper worker = workers[i]; // Fire notification event. invokeContext.Invoke( new ReportWorkerProgressEventHandler(OnReportWorkerProgress), new object[]{this, new ReportWorkerProgressEventArgs(worker.ID, worker.Progress)}); } There are different ways to accomplish this step, each with its own compromises. In the design used here, a separate event is fired for each in-progress task. This allows you to keep the threading code and the user interface code well separated, but it may not perform well for applications that queue up a long list of tasks, because the client will be forced to search for the matching task request each time the event fires. In this case, you might consider a compromise such as passing all the status information at once, or even giving your task objects a reference to a control the TaskManager can update directly. This approach is messier, but it may allow you to keep the application more responsive. The end result is that once you have the TaskManager code in place, you can create an application that allows you to start and monitor multiple tasks, as shown in Figure 20-10. When a task is completed, simply double-click the item to see the prime list.

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