我正在使用一个完全异步的 API 客户端,即每个操作都返回 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/最有效的方法是什么:
int[] ids = new[] { 1, 2, 3, 4, 5 };
Parallel.ForEach(ids, i => DoSomething(1, i, blogClient).Wait());
或者:
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。
int[] ids = new[] { 1, 2, 3, 4, 5 };
Parallel.ForEach(ids, i => DoSomething(1, i, blogClient).Wait());
尽管您与上述代码并行运行这些操作,但此代码会阻止每个操作运行的每个线程。例如,如果网络调用需要 2 秒,则每个线程会挂起 2 秒,除了等待之外什么都不做。
int[] ids = new[] { 1, 2, 3, 4, 5 };
Task.WaitAll(ids.Select(i => DoSomething(1, i, blogClient)).ToArray());
另一方面,上面带有 WaitAll
的代码也会阻塞线程,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
我更喜欢 WhenAll
,它将以并行方式异步执行您的操作。
public async Task DoWork() {
int[] ids = new[] { 1, 2, 3, 4, 5 };
await Task.WhenAll(ids.Select(i => DoSomething(1, i, blogClient)));
}
实际上,在上述情况下,您甚至不需要等待,您可以直接从方法中返回,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文,介绍了所有备选方案及其优缺点:How and Where Concurrent Asynchronous I/O with ASP.NET Web API
我很想知道问题中提供的方法的结果以及接受的答案,所以我对其进行了测试。
这是代码:
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.
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 WaitAll
版本中使用 .Wait
,因为那样会失去并行性 如果调用者是异步的,另一种选择是在执行 Select
和 ToArray
之后使用 Task.WhenAll
来生成任务数组。第二种选择是使用 Rx 2.0
您可以使用 Task.WhenAll
函数来传递 n 个任务;当您传递给 Task.WhenAll
的所有任务都完成时,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,以免阻塞您的 UI 线程:
public async Task DoSomeThing() {
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
}
Parallel.ForEach
需要一个用户定义 工作人员列表和一个非异步 Action
才能与每个工作人员一起执行。
Task.WaitAll
和 Task.WhenAll
需要 List<Task>
,根据定义它们是异步的。
我发现 RiaanDP 的 response 对于理解差异非常有用,但需要对 Parallel.ForEach
进行更正。没有足够的声誉来回应他的评论,因此我自己的回应。
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 void 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"));
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"));
}
public async Task DoWorkAsync(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));
}
static void PerformTest_TaskWaitAll(List<Worker> workers, DateTime testStart)
{
Task.WaitAll(workers.Select(worker => worker.DoWorkAsync(testStart)).ToArray());
}
static Task PerformTest_TaskWhenAll(List<Worker> workers, DateTime testStart)
{
return Task.WhenAll(workers.Select(worker => worker.DoWorkAsync(testStart)));
}
}
}
结果输出如下。执行时间是可比的。我在我的计算机进行每周一次的防病毒扫描时运行了这个测试。改变测试的顺序确实改变了它们的执行时间。
Starting test: Parallel.ForEach...
Worker 1 started on thread 9, beginning 0.02 seconds after test start.
Worker 2 started on thread 10, beginning 0.02 seconds after test start.
Worker 3 started on thread 11, beginning 0.02 seconds after test start.
Worker 4 started on thread 13, beginning 0.03 seconds after test start.
Worker 5 started on thread 14, beginning 0.03 seconds after test start.
Worker 1 stopped; the worker took 1.00 seconds, and it finished 1.02 seconds after the test start.
Worker 2 stopped; the worker took 2.00 seconds, and it finished 2.02 seconds after the test start.
Worker 3 stopped; the worker took 3.00 seconds, and it finished 3.03 seconds after the test start.
Worker 4 stopped; the worker took 4.00 seconds, and it finished 4.03 seconds after the test start.
Worker 5 stopped; the worker took 5.00 seconds, and it finished 5.03 seconds after the test start.
Test finished after 5.03 seconds.
Starting test: Task.WaitAll...
Worker 1 started on thread 9, beginning 0.00 seconds after test start.
Worker 2 started on thread 9, beginning 0.00 seconds after test start.
Worker 3 started on thread 9, beginning 0.00 seconds after test start.
Worker 4 started on thread 9, beginning 0.00 seconds after test start.
Worker 5 started on thread 9, 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 9, beginning 0.00 seconds after test start.
Worker 2 started on thread 9, beginning 0.00 seconds after test start.
Worker 3 started on thread 9, beginning 0.00 seconds after test start.
Worker 4 started on thread 9, beginning 0.00 seconds after test start.
Worker 5 started on thread 9, 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 5.01 seconds after the test start.
Test finished after 5.01 seconds.
DoWork
(非 async
Action
)传递给 Parallel.ForEach
,将 DoWorkAsync
(async Task
)传递给 Task.WaitAll
和 Task.WhenAll
。 Parallel.ForEach
需要 Task
。将 .Wait()
添加到 DoWorkAsync
使其成为 Task
,但这会阻止并发,这不是我们想要的。
所有答案都是为了运行相同的功能。
以下代码适用于调用不同的函数。只需将您的常规 Task.Run()
放入一个数组并使用 Task.WhenAll()
调用:
await Task.WhenAll(new Task[] {
Task.Run(() => Func1(args)),
Task.Run(() => Func2(args))
});
我只想补充以上所有出色的答案,如果您编写了一个库,那么使用 ConfigureAwait(false)
并获得更好的性能是一个很好的做法,如 here 所述。
所以这个片段似乎更好:
public static async Task DoWork()
{
int[] ids = new[] { 1, 2, 3, 4, 5 };
await Task.WhenAll(ids.Select(i => DoSomething(1, i))).ConfigureAwait(false);
}
完整的小提琴链接 here。
ConfigureAwait
只是使代码混乱并妨碍了工作,实际上没有提供任何回报(性能方面)。
WaitAll
的代码也阻塞了线程” - 它不是只阻塞 一个 线程,即调用WaitAll
的那个吗?