我正在为一个每秒需要处理数千条消息的交易平台项目评估 Rx。现有平台有一个复杂的事件路由系统(多播委托(delegate))响应这些消息并进行大量后续处理。

我查看了 Reactive Extensions 的明显好处，但注意到它有点慢，通常慢 100 倍。

我创建了单元测试来演示这一点，它运行一个简单的增量 100 万次，使用各种 Rx 风格和直接开箱即用的委托(delegate)“控制”测试。

结果如下:

Delegate                                 - (1000000) - 00:00:00.0410000
Observable.Range()                       - (1000000) - 00:00:04.8760000
Subject.Subscribe() - NewThread          - (1000000) - 00:00:02.7630000
Subject.Subscribe() - CurrentThread      - (1000000) - 00:00:03.0280000
Subject.Subscribe() - Immediate          - (1000000) - 00:00:03.0030000
Subject.Subscribe() - ThreadPool         - (1000000) - 00:00:02.9800000
Subject.Subscribe() - Dispatcher         - (1000000) - 00:00:03.0360000

如您所见，所有 Rx 方法都比委托(delegate)等效方法慢约 100 倍。显然，Rx 在幕后做了很多工作，这些工作将在更复杂的示例中使用，但这看起来非常慢。

这是正常现象还是我的测试假设无效？上面的 Nunit 代码如下 -

using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.Linq;
using System.Text;
using NUnit.Framework;
using System.Concurrency;

namespace RxTests
{
    [TestFixture]
    class ReactiveExtensionsBenchmark_Tests
    {
        private int counter = 0;

        [Test]
        public void ReactiveExtensionsPerformanceComparisons()
        {
            int iterations = 1000000;

            Action<int> a = (i) => { counter++; };

            DelegateSmokeTest(iterations, a);
            ObservableRangeTest(iterations, a);
            SubjectSubscribeTest(iterations, a, Scheduler.NewThread, "NewThread");
            SubjectSubscribeTest(iterations, a, Scheduler.CurrentThread, "CurrentThread");
            SubjectSubscribeTest(iterations, a, Scheduler.Immediate, "Immediate");
            SubjectSubscribeTest(iterations, a, Scheduler.ThreadPool, "ThreadPool");
            SubjectSubscribeTest(iterations, a, Scheduler.Dispatcher, "Dispatcher");
        }

        public void ObservableRangeTest(int iterations, Action<int> action)
        {
            counter = 0;

            long start = DateTime.Now.Ticks;

            Observable.Range(0, iterations).Subscribe(action);

            OutputTestDuration("Observable.Range()", start);
        }


        public void SubjectSubscribeTest(int iterations, Action<int> action, IScheduler scheduler, string mode)
        {
            counter = 0;

            var eventSubject = new Subject<int>();
            var events = eventSubject.SubscribeOn(scheduler); //edited - thanks dtb
            events.Subscribe(action);

            long start = DateTime.Now.Ticks;

            Enumerable.Range(0, iterations).ToList().ForEach
                (
                    a => eventSubject.OnNext(1)
                );

            OutputTestDuration("Subject.Subscribe() - " + mode, start);
        }

        public void DelegateSmokeTest(int iterations, Action<int> action)
        {
            counter = 0;
            long start = DateTime.Now.Ticks;

            Enumerable.Range(0, iterations).ToList().ForEach
                (
                    a => action(1)
                );

            OutputTestDuration("Delegate", start);
        }


        /// <summary>
        /// Output helper
        /// </summary>
        /// <param name="test"></param>
        /// <param name="duration"></param>
        public void OutputTestDuration(string test, long duration)
        {
            Debug.WriteLine(string.Format("{0, -40} - ({1}) - {2}", test, counter, ElapsedDuration(duration)));
        }

        /// <summary>
        /// Test timing helper
        /// </summary>
        /// <param name="elapsedTicks"></param>
        /// <returns></returns>
        public string ElapsedDuration(long elapsedTicks)
        {
            return new TimeSpan(DateTime.Now.Ticks - elapsedTicks).ToString();
        }

    }
}

最佳答案

我的猜测是 Rx 团队首先专注于构建功能，而不关心性能优化。

使用分析器确定瓶颈并用您自己的优化版本替换慢速 Rx 类。

下面是两个例子。

结果:

Delegate                                 - (1000000) - 00:00:00.0368748

Simple - NewThread                       - (1000000) - 00:00:00.0207676
Simple - CurrentThread                   - (1000000) - 00:00:00.0214599
Simple - Immediate                       - (1000000) - 00:00:00.0162026
Simple - ThreadPool                      - (1000000) - 00:00:00.0169848

FastSubject.Subscribe() - NewThread      - (1000000) - 00:00:00.0588149
FastSubject.Subscribe() - CurrentThread  - (1000000) - 00:00:00.0508842
FastSubject.Subscribe() - Immediate      - (1000000) - 00:00:00.0513911
FastSubject.Subscribe() - ThreadPool     - (1000000) - 00:00:00.0529137

First of all, it seems to matter a lot how the observable is implemented. Here's an observable that cannot be unsubscribed from, but it's fast:

private IObservable<int> CreateFastObservable(int iterations)
{
    return Observable.Create<int>(observer =>
    {
        new Thread(_ =>
        {
            for (int i = 0; i < iterations; i++)
            {
                observer.OnNext(i);
            }
            observer.OnCompleted();
        }).Start();
        return () => { };
    });
}

测试:

public void SimpleObserveTest(int iterations, Action<int> action, IScheduler scheduler, string mode)
{
    counter = 0;

    var start = Stopwatch.StartNew();

    var observable = CreateFastObservable(iterations);

    observable.SubscribeOn(scheduler).Run(action);

    OutputTestDuration("Simple - " + mode, start);
}

主题增加了很多开销。这是一个主题，它被剥夺了主题的大部分预期功能，但速度很快:

class FastSubject<T> : ISubject<T>
{
    private event Action onCompleted;
    private event Action<Exception> onError;
    private event Action<T> onNext;

    public FastSubject()
    {
        onCompleted += () => { };
        onError += error => { };
        onNext += value => { };
    }

    public void OnCompleted()
    {
        this.onCompleted();
    }

    public void OnError(Exception error)
    {
        this.onError(error);
    }

    public void OnNext(T value)
    {
        this.onNext(value);
    }

    public IDisposable Subscribe(IObserver<T> observer)
    {
        this.onCompleted += observer.OnCompleted;
        this.onError += observer.OnError;
        this.onNext += observer.OnNext;

        return Disposable.Create(() =>
        {
            this.onCompleted -= observer.OnCompleted;
            this.onError -= observer.OnError;
            this.onNext -= observer.OnNext;
        });
    }
}

测试:

public void FastSubjectSubscribeTest(int iterations, Action<int> action, IScheduler scheduler, string mode)
{
    counter = 0;

    var start = Stopwatch.StartNew();

    var observable = new ConnectableObservable<int>(CreateFastObservable(iterations), new FastSubject<int>()).RefCount();

    observable.SubscribeOn(scheduler).Run(action);

    OutputTestDuration("FastSubject.Subscribe() - " + mode, start);
}

关于c# - Reactive Extensions 看起来很慢——我做错了什么吗？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/4272354/