Question

我正在使用完全异步的API客户端，也就是说，每个操作都返回Task或Task<T>，例如：

static async Task DoSomething(int siteId, int postId, IBlogClient client)
{
    await client.DeletePost(siteId, postId); // call API client
    Console.WriteLine("Deleted post {0}.", siteId);
}

使用C＃5 async / await运算符，启动多个任务并等待它们全部完成的正确/最有效方法是什么：

int[] ids = new[] { 1, 2, 3, 4, 5 };
Parallel.ForEach(ids, i => DoSomething(1, i, blogClient).Wait());

或：

int[] ids = new[] { 1, 2, 3, 4, 5 };
Task.WaitAll(ids.Select(i => DoSomething(1, i, blogClient)).ToArray());

由于API客户端在内部使用HttpClient，我希望这会立即发出5个HTTP请求，并在每个请求完成时写入控制台。

Answer 1

int[] ids = new[] { 1, 2, 3, 4, 5 };
Parallel.ForEach(ids, i => DoSomething(1, i, blogClient).Wait());

尽管您使用上述代码并行运行操作，但此代码会阻止每个操作运行的每个线程。例如，如果网络呼叫需要2秒钟，则每个线程会挂起2秒钟而不做任何事情，只能等待。

int[] ids = new[] { 1, 2, 3, 4, 5 };
Task.WaitAll(ids.Select(i => DoSomething(1, i, blogClient)).ToArray());

另一方面，带有WaitAll的上述代码也会阻塞线程，并且在操作结束之前，您的线程将无法自由处理任何其他工作。

推荐方法

我更希望WhenAll能在并行中异步执行您的操作。

public async Task DoWork() {

    int[] ids = new[] { 1, 2, 3, 4, 5 };
    await Task.WhenAll(ids.Select(i => DoSomething(1, i, blogClient)));
}

事实上，在上述情况下，您甚至不需要await，您可以直接从方法返回，因为您没有任何延续：
public Task DoWork() 
{
    int[] ids = new[] { 1, 2, 3, 4, 5 };
    return Task.WhenAll(ids.Select(i => DoSomething(1, i, blogClient)));
}

为了支持这一点，这里有一篇详细的博客文章替代方案及其优缺点：How and Where Concurrent Asynchronous I/O with ASP.NET Web API

Answer 2

我很想看到问题中提供的方法的结果以及接受的答案，所以我把它做了测试。

以下是代码：

using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading;
using System.Threading.Tasks;

namespace AsyncTest
{
    class Program
    {
        class Worker
        {
            public int Id;
            public int SleepTimeout;

            public async Task DoWork(DateTime testStart)
            {
                var workerStart = DateTime.Now;
                Console.WriteLine("Worker {0} started on thread {1}, beginning {2} seconds after test start.",
                    Id, Thread.CurrentThread.ManagedThreadId, (workerStart-testStart).TotalSeconds.ToString("F2"));
                await Task.Run(() => Thread.Sleep(SleepTimeout));
                var workerEnd = DateTime.Now;
                Console.WriteLine("Worker {0} stopped; the worker took {1} seconds, and it finished {2} seconds after the test start.",
                   Id, (workerEnd-workerStart).TotalSeconds.ToString("F2"), (workerEnd-testStart).TotalSeconds.ToString("F2"));
            }
        }

        static void Main(string[] args)
        {
            var workers = new List<Worker>
            {
                new Worker { Id = 1, SleepTimeout = 1000 },
                new Worker { Id = 2, SleepTimeout = 2000 },
                new Worker { Id = 3, SleepTimeout = 3000 },
                new Worker { Id = 4, SleepTimeout = 4000 },
                new Worker { Id = 5, SleepTimeout = 5000 },
            };

            var startTime = DateTime.Now;
            Console.WriteLine("Starting test: Parallel.ForEach...");
            PerformTest_ParallelForEach(workers, startTime);
            var endTime = DateTime.Now;
            Console.WriteLine("Test finished after {0} seconds.\n",
                (endTime - startTime).TotalSeconds.ToString("F2"));

            startTime = DateTime.Now;
            Console.WriteLine("Starting test: Task.WaitAll...");
            PerformTest_TaskWaitAll(workers, startTime);
            endTime = DateTime.Now;
            Console.WriteLine("Test finished after {0} seconds.\n",
                (endTime - startTime).TotalSeconds.ToString("F2"));

            startTime = DateTime.Now;
            Console.WriteLine("Starting test: Task.WhenAll...");
            var task = PerformTest_TaskWhenAll(workers, startTime);
            task.Wait();
            endTime = DateTime.Now;
            Console.WriteLine("Test finished after {0} seconds.\n",
                (endTime - startTime).TotalSeconds.ToString("F2"));

            Console.ReadKey();
        }

        static void PerformTest_ParallelForEach(List<Worker> workers, DateTime testStart)
        {
            Parallel.ForEach(workers, worker => worker.DoWork(testStart).Wait());
        }

        static void PerformTest_TaskWaitAll(List<Worker> workers, DateTime testStart)
        {
            Task.WaitAll(workers.Select(worker => worker.DoWork(testStart)).ToArray());
        }

        static Task PerformTest_TaskWhenAll(List<Worker> workers, DateTime testStart)
        {
            return Task.WhenAll(workers.Select(worker => worker.DoWork(testStart)));
        }
    }
}

结果输出：

Starting test: Parallel.ForEach...
Worker 1 started on thread 1, beginning 0.21 seconds after test start.
Worker 4 started on thread 5, beginning 0.21 seconds after test start.
Worker 2 started on thread 3, beginning 0.21 seconds after test start.
Worker 5 started on thread 6, beginning 0.21 seconds after test start.
Worker 3 started on thread 4, beginning 0.21 seconds after test start.
Worker 1 stopped; the worker took 1.90 seconds, and it finished 2.11 seconds after the test start.
Worker 2 stopped; the worker took 3.89 seconds, and it finished 4.10 seconds after the test start.
Worker 3 stopped; the worker took 5.89 seconds, and it finished 6.10 seconds after the test start.
Worker 4 stopped; the worker took 5.90 seconds, and it finished 6.11 seconds after the test start.
Worker 5 stopped; the worker took 8.89 seconds, and it finished 9.10 seconds after the test start.
Test finished after 9.10 seconds.

Starting test: Task.WaitAll...
Worker 1 started on thread 1, beginning 0.01 seconds after test start.
Worker 2 started on thread 1, beginning 0.01 seconds after test start.
Worker 3 started on thread 1, beginning 0.01 seconds after test start.
Worker 4 started on thread 1, beginning 0.01 seconds after test start.
Worker 5 started on thread 1, beginning 0.01 seconds after test start.
Worker 1 stopped; the worker took 1.00 seconds, and it finished 1.01 seconds after the test start.
Worker 2 stopped; the worker took 2.00 seconds, and it finished 2.01 seconds after the test start.
Worker 3 stopped; the worker took 3.00 seconds, and it finished 3.01 seconds after the test start.
Worker 4 stopped; the worker took 4.00 seconds, and it finished 4.01 seconds after the test start.
Worker 5 stopped; the worker took 5.00 seconds, and it finished 5.01 seconds after the test start.
Test finished after 5.01 seconds.

Starting test: Task.WhenAll...
Worker 1 started on thread 1, beginning 0.00 seconds after test start.
Worker 2 started on thread 1, beginning 0.00 seconds after test start.
Worker 3 started on thread 1, beginning 0.00 seconds after test start.
Worker 4 started on thread 1, beginning 0.00 seconds after test start.
Worker 5 started on thread 1, beginning 0.00 seconds after test start.
Worker 1 stopped; the worker took 1.00 seconds, and it finished 1.00 seconds after the test start.
Worker 2 stopped; the worker took 2.00 seconds, and it finished 2.00 seconds after the test start.
Worker 3 stopped; the worker took 3.00 seconds, and it finished 3.00 seconds after the test start.
Worker 4 stopped; the worker took 4.00 seconds, and it finished 4.00 seconds after the test start.
Worker 5 stopped; the worker took 5.00 seconds, and it finished 5.00 seconds after the test start.
Test finished after 5.00 seconds.

Answer 3

由于您调用的API是异步的，因此Parallel.ForEach版本没有多大意义。您不应该在.Wait版本中使用WaitAll，因为这会失去并行性如果调用者是异步的另一个选择是在执行Task.WhenAll和Select之后使用ToArray生成任务数组。第二种选择是使用Rx 2.0

Answer 4

您可以使用可以传递 n 任务的Task.WhenAll功能;当您传递给Task.WhenAll的所有任务完成时，Task.WhenAll将返回一个运行完成的任务。您必须在Task.WhenAll上异步等待，这样才不会阻止您的UI线程：

   public async Task DoSomeThing() {

       var Task[] tasks = new Task[numTasks];
       for(int i = 0; i < numTask; i++)
       {
          tasks[i] = CallSomeAsync();
       }
       await Task.WhenAll(tasks);
       // code that'll execute on UI thread
   }

Answer 5

我只想添加以上所有出色的答案，如果您编写了一个库，则最好使用watch: { search(value) { yourApiCall(value) } } 并获得更好的性能，如here所述。

因此，此代码段似乎更好：

ConfigureAwait(false)

完整的小提琴链接here。

使用async / await执行多个任务

5 个答案:

推荐方法