使用async/await和处理高负载的简单任务返回异步HtppListener

tug*_*erk 7 .net c# system.net http httplistener

我创建了以下简单的HttpListener同时提供多个请求(在.NET 4.5上):

class Program {

    static void Main(string[] args) {

        HttpListener listener = new HttpListener();
        listener.Prefixes.Add("http://+:8088/");
        listener.Start();
        ProcessAsync(listener).ContinueWith(task => { });
        Console.ReadLine();
    }

    static async Task ProcessAsync(HttpListener listener) {

        HttpListenerContext ctx = await listener.GetContextAsync();

        // spin up another listener
        Task.Factory.StartNew(() => ProcessAsync(listener));

        // Simulate long running operation
        Thread.Sleep(1000);

        // Perform
        Perform(ctx);

        await ProcessAsync(listener);
    }

    static void Perform(HttpListenerContext ctx) {

        HttpListenerResponse response = ctx.Response;
        string responseString = "<HTML><BODY> Hello world!</BODY></HTML>";
        byte[] buffer = Encoding.UTF8.GetBytes(responseString);

        // Get a response stream and write the response to it.
        response.ContentLength64 = buffer.Length;
        Stream output = response.OutputStream;
        output.Write(buffer, 0, buffer.Length);

        // You must close the output stream.
        output.Close();
    }
}
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我使用Apache Benchmark Tool来加载测试.当我发出1请求时,我将请求的最长等待时间设置为1秒.例如,如果我发出10个请求,响应的最长等待时间将达到2秒.

您如何更改我的上述代码以使其尽可能高效?

编辑

在@ JonSkeet的回答之后,我更改了以下代码.最初,我尝试模拟阻塞调用,但我想这是核心问题.所以,我把@ JonSkeet的建议改为Task.Delay(1000).现在,下面的代码给出了最大值.等待时间约.10个并发请求1秒:

class Program {

    static bool KeepGoing = true;
    static List<Task> OngoingTasks = new List<Task>();

    static void Main(string[] args) {

        HttpListener listener = new HttpListener();
        listener.Prefixes.Add("http://+:8088/");
        listener.Start();
        ProcessAsync(listener).ContinueWith(async task => {

            await Task.WhenAll(OngoingTasks.ToArray());
        });

        var cmd = Console.ReadLine();

        if (cmd.Equals("q", StringComparison.OrdinalIgnoreCase)) {
            KeepGoing = false;
        }

        Console.ReadLine();
    }

    static async Task ProcessAsync(HttpListener listener) {

        while (KeepGoing) {
            HttpListenerContext context = await listener.GetContextAsync();
            HandleRequestAsync(context);

            // TODO: figure out the best way add ongoing tasks to OngoingTasks.
        }
    }

    static async Task HandleRequestAsync(HttpListenerContext context) {

        // Do processing here, possibly affecting KeepGoing to make the 
        // server shut down.

        await Task.Delay(1000);
        Perform(context);
    }

    static void Perform(HttpListenerContext ctx) {

        HttpListenerResponse response = ctx.Response;
        string responseString = "<HTML><BODY> Hello world!</BODY></HTML>";
        byte[] buffer = Encoding.UTF8.GetBytes(responseString);

        // Get a response stream and write the response to it.
        response.ContentLength64 = buffer.Length;
        Stream output = response.OutputStream;
        output.Write(buffer, 0, buffer.Length);

        // You must close the output stream.
        output.Close();
    }
}
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Jon*_*eet 7

在我看来,你最终会听到听众的分歧.在内部ProcessAsync,您启动一​​个新任务来侦听(通过Task.Factory.StartNew),然后在方法结束时ProcessAsync 再次调用.怎么能完成?目前尚不清楚这是否是导致性能问题的原因,但它看起来一般都是一个问题.

我建议将代码更改为一个简单的循环:

static async Task ProcessAsync(HttpListener listener) {
    while (KeepGoing) {
        var context = await listener.GetContextAsync();
        HandleRequestAsync(context);         
    }
}

static async Task HandleRequestAsync(HttpListenerContext context) {
    // Do processing here, possibly affecting KeepGoing to make the 
    // server shut down.
}
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现在上面的代码忽略了返回值HandleRequestAsync.您可能希望保留"当前正在运行"任务的列表,并且当您被要求关闭时,请使用await Task.WhenAll(inFlightTasks)以避免过快地关闭服务器.

另请注意,这Thread.Sleep阻塞延迟.异步延迟将是await Task.Delay(1000).