如果您的目标是 .Net 4.0,您可以使用任务并行库寻求帮助:
var queue = new BlockingCollection<Uri>();
var maxClients = 4;
// Optionally provide another producer/consumer collection for the data
// var data = new BlockingCollection<Tuple<Uri,byte[]>>();
// Optionally implement CancellationTokenSource
var clients = from id in Enumerable.Range(0, maxClients)
select Task.Factory.StartNew(
() =>
{
var client = new WebClient();
while (!queue.IsCompleted)
{
Uri uri;
if (queue.TryTake(out uri))
{
byte[] datum = client.DownloadData(uri); // already "async"
// Optionally pass datum along to the other collection
// or work on it here
}
else Thread.SpinWait(100);
}
});
// Add URI's to search
// queue.Add(...);
// Notify our clients that we've added all the URI's
queue.CompleteAdding();
// Wait for all of our clients to finish
clients.WaitAll();
要使用这种方法来指示进度,您可以使用它TaskCompletionSource<TResult>
来管理基于事件的并行性:
public static Task<byte[]> DownloadAsync(Uri uri, Action<double> progress)
{
var source = new TaskCompletionSource<byte[]>();
Task.Factory.StartNew(
() =>
{
var client = new WebClient();
client.DownloadProgressChanged
+= (sender, e) => progress(e.ProgressPercentage);
client.DownloadDataCompleted
+= (sender, e) =>
{
if (!e.Cancelled)
{
if (e.Error == null)
{
source.SetResult((byte[])e.Result);
}
else
{
source.SetException(e.Error);
}
}
else
{
source.SetCanceled();
}
};
});
return source.Task;
}
像这样使用:
// var urls = new List<Uri>(...);
// var progressBar = new ProgressBar();
Task.Factory.StartNew(
() =>
{
foreach (var uri in urls)
{
var task = DownloadAsync(
uri,
p =>
progressBar.Invoke(
new MethodInvoker(
delegate { progressBar.Value = (int)(100 * p); }))
);
// Will Block!
// data = task.Result;
}
});