问题描述
我需要使用的HttpWebRequest迈向一个应用服务器在进行并行请求时实施限制的机制(每秒请求数)。我的C#应用程序必须发出每秒不超过80个请求发送到远程服务器。该限制由远程服务管理员不作为硬性限制,但作为我的平台与他们之间的SLA强加的。
I need to implement a throttling mechanism (requests per second) when using HttpWebRequest for making parallel requests towards one application server. My C# app must issue no more than 80 requests per second to a remote server. The limit is imposed by the remote service admins not as a hard limit but as "SLA" between my platform and theirs.
我如何控制每秒请求数使用HttpWebRequest的?
How can I control the number of requests per second when using HttpWebRequest?
推荐答案
我有同样的问题,但没有找到一个现成的解决方案,所以我做了一个,在这里它是。这个想法是使用 BlockingCollection< T>
添加需要处理和使用无功扩展与速率受限的处理器,订阅项目
I had the same problem and couldn't find a ready solution so I made one, and here it is. The idea is to use a BlockingCollection<T>
to add items that need processing and use Reactive Extensions to subscribe with a rate-limited processor.
油门类的
public static class BlockingCollectionExtensions
{
// TODO: devise a way to avoid problems if collection gets too big (produced faster than consumed)
public static IObservable<T> AsRateLimitedObservable<T>(this BlockingCollection<T> sequence, int items, TimeSpan timePeriod, CancellationToken producerToken)
{
Subject<T> subject = new Subject<T>();
// this is a dummyToken just so we can recreate the TokenSource
// which we will pass the proxy class so it can cancel the task
// on disposal
CancellationToken dummyToken = new CancellationToken();
CancellationTokenSource tokenSource = CancellationTokenSource.CreateLinkedTokenSource(producerToken, dummyToken);
var consumingTask = new Task(() =>
{
using (var throttle = new Throttle(items, timePeriod))
{
while (!sequence.IsCompleted)
{
try
{
T item = sequence.Take(producerToken);
throttle.WaitToProceed();
try
{
subject.OnNext(item);
}
catch (Exception ex)
{
subject.OnError(ex);
}
}
catch (OperationCanceledException)
{
break;
}
}
subject.OnCompleted();
}
}, TaskCreationOptions.LongRunning);
return new TaskAwareObservable<T>(subject, consumingTask, tokenSource);
}
private class TaskAwareObservable<T> : IObservable<T>, IDisposable
{
private readonly Task task;
private readonly Subject<T> subject;
private readonly CancellationTokenSource taskCancellationTokenSource;
public TaskAwareObservable(Subject<T> subject, Task task, CancellationTokenSource tokenSource)
{
this.task = task;
this.subject = subject;
this.taskCancellationTokenSource = tokenSource;
}
public IDisposable Subscribe(IObserver<T> observer)
{
var disposable = subject.Subscribe(observer);
if (task.Status == TaskStatus.Created)
task.Start();
return disposable;
}
public void Dispose()
{
// cancel consumption and wait task to finish
taskCancellationTokenSource.Cancel();
task.Wait();
// dispose tokenSource and task
taskCancellationTokenSource.Dispose();
task.Dispose();
// dispose subject
subject.Dispose();
}
}
}
单元测试:
Unit test:
class BlockCollectionExtensionsTest
{
[Fact]
public void AsRateLimitedObservable()
{
const int maxItems = 1; // fix this to 1 to ease testing
TimeSpan during = TimeSpan.FromSeconds(1);
// populate collection
int[] items = new[] { 1, 2, 3, 4 };
BlockingCollection<int> collection = new BlockingCollection<int>();
foreach (var i in items) collection.Add(i);
collection.CompleteAdding();
IObservable<int> observable = collection.AsRateLimitedObservable(maxItems, during, CancellationToken.None);
BlockingCollection<int> processedItems = new BlockingCollection<int>();
ManualResetEvent completed = new ManualResetEvent(false);
DateTime last = DateTime.UtcNow;
observable
// this is so we'll receive exceptions
.ObserveOn(new SynchronizationContext())
.Subscribe(item =>
{
if (item == 1)
last = DateTime.UtcNow;
else
{
TimeSpan diff = (DateTime.UtcNow - last);
last = DateTime.UtcNow;
Assert.InRange(diff.TotalMilliseconds,
during.TotalMilliseconds - 30,
during.TotalMilliseconds + 30);
}
processedItems.Add(item);
},
() => completed.Set()
);
completed.WaitOne();
Assert.Equal(items, processedItems, new CollectionEqualityComparer<int>());
}
}
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