前言：
现时同学们对“net线程池”大体比较关心，姐妹们都想要知道一些“net线程池”的相关文章。那么小编也在网摘上汇集了一些对于“net线程池””的相关资讯，希望大家能喜欢，小伙伴们快快来学习一下吧！前言
在即将发布的 .NET 6 runtime 中，默认的线程池实现从 C++ 代码改为了 C#，更方便我们学习线程池的设计了。
新的线程池实现位于 PortableThreadPool 中，原 ThreadPool 中的对外公开的接口会直接调用 PortableThreadPool 中的实现。
通过设置环境变量 ThreadPool_UsePortableThreadPool 为 0 可以设置成使用老的线程池实现。
本文以 .NET 6 runtime 源码作为学习材料，对线程池的设计进行介绍。从目前的理解上来看，其整体的设计与原来 C++ 的实现并没有特别大的出入。
注意：
本文不涉及细节的代码实现，主要为大家介绍其整体设计。所展示的代码并非原封不动的源码，而是为了方便理解的简化版。ThreadPool.SetMaxThreads(int workerThreads, int completionPortThreads) 中的 completionPortThreads 所相关的 IOCP线程池 是 .NET Framework 时代的遗留产物，用于管理 Windows 平台专有的 IOCP 的回调线程池。目前没看到有什么地方在用它了，completionPortThreads 这个参数也已经没有意义，底层IO库是自己维护的IO等待线程池。本文只涉及 worker thread 池的介绍。本文理解并不完整也不一定完全正确，有异议的地方欢迎留言讨论。为了解释问题，一部分代码会运行在 .NET 6 之前的环境中。任务的调度
线程池的待执行任务被存放在一个队列系统中。这个系统包括一个 全局队列，以及绑定在每一个 Worker Thread 上 的 本地队列 。而线程池中的每一个线程都在执行 while(true) 的循环，从这个队列系统中领取并执行任务。
在 ThreadPool.QueueUserWorkItem 的重载方法 ThreadPool.QueueUserWorkItem<TState>(Action<TState> callBack, TState state, bool preferLocal) 里有一个 preferLocal 参数。
调用不带 preferLocal 参数的 ThreadPool.QueueUserWorkItem 方法重载，任务会被放到全局队列。当 preferLocal 为 true 的时候，如果调用 ThreadPool.QueueUserWorkItem 代码的线程正好是个线程池里的某个线程，则该任务就会进入该线程的本地队列中。除此之外的情况则会被放到全局队列中等待未来被某个 Worker Thread 捡走。在线程池外的线程中调用，不管 preferLocal 传的是什么，任务都会被放到全局队列。基本调度单元
本地队列和全局队列的元素类型被定义为 object，实际的任务类型分为两类，在从队列系统取到任务之后会判断类型并执行对应的方法。
IThreadPoolWorkItem 实现类的实例。
/// <summary>Represents a work item that can be executed by the ThreadPool.</summary>public interface IThreadPoolWorkItem{ void Execute();}执行 Execute 方法也就代表着任务的执行。
IThreadPoolWorkItem 的具体实现有很多，例如通过 ThreadPool.QueueUserWorkItem(WaitCallback callBack) 传入的 callBack 委托实例会被包装到一个 QueueUserWorkItemCallback 实例里。QueueUserWorkItemCallback 是 IThreadPoolWorkItem 的实现类。
Task
class Task{ internal void InnerInvoke();}执行 InnerInvoke 会执行 Task 所包含的委托。
全局队列
全局队列 是由 ThreadPoolWorkQueue 维护的，同时它也是整个队列系统的入口，直接被 ThreadPool 所引用。
public static class ThreadPool{ internal static readonly ThreadPoolWorkQueue s_workQueue = new ThreadPoolWorkQueue(); public static bool QueueUserWorkItem(WaitCallback callBack, object state) { object tpcallBack = new QueueUserWorkItemCallback(callBack!, state); s_workQueue.Enqueue(tpcallBack, forceGlobal: true); return true; }}internal sealed class ThreadPoolWorkQueue{ // 全局队列 internal readonly ConcurrentQueue<object> workItems = new ConcurrentQueue<object>(); // forceGlobal 为 true 时，push 到全局队列，否则就放到本地队列 public void Enqueue(object callback, bool forceGlobal);}本地队列线程池中的每一个线程都会绑定一个 ThreadPoolWorkQueueThreadLocals 实例，在 workStealingQueue 这个字段上保存着本地队列。
internal sealed class ThreadPoolWorkQueueThreadLocals{ // 绑定在线程池线程上 [ThreadStatic] public static ThreadPoolWorkQueueThreadLocals threadLocals; // 持有全局队列的引用，以便能在需要的时候将任务转移到全局队列上 public readonly ThreadPoolWorkQueue workQueue; // 本地队列的直接维护者 public readonly ThreadPoolWorkQueue.WorkStealingQueue workStealingQueue; public readonly Thread currentThread; public ThreadPoolWorkQueueThreadLocals(ThreadPoolWorkQueue tpq) { workQueue = tpq; workStealingQueue = new ThreadPoolWorkQueue.WorkStealingQueue(); // WorkStealingQueueList 会集中管理 workStealingQueue ThreadPoolWorkQueue.WorkStealingQueueList.Add(workStealingQueue); currentThread = Thread.CurrentThread; } // 提供将本地队列中的任务转移到全局队列中去的功能， // 当 ThreadPool 通过后文将会介绍的 HillClimbing 算法判断得出当前线程是多余的线程后， // 会调用此方法对任务进行转移 public void TransferLocalWork() { while (workStealingQueue.LocalPop() is object cb) { workQueue.Enqueue(cb, forceGlobal: true); } } ~ThreadPoolWorkQueueThreadLocals() { if (null != workStealingQueue) { // TransferLocalWork 真正的目的并非是为了在这里被调用，这边只是确保任务不会丢的 fallback 逻辑 TransferLocalWork(); ThreadPoolWorkQueue.WorkStealingQueueList.Remove(workStealingQueue); } }}偷窃机制这里思考一个问题，为什么本地队列的名字会被叫做 WorkStealingQueue 呢？
所有 Worker Thread 的 WorkStealingQueue 都被集中在 WorkStealingQueueList 中。对线程池中其他所有线程可见。
Worker Thread 的 while(true) 中优先会从自身的 WorkStealingQueue 中取任务。如果本地队列已经被清空，就会从全局队列中取任务。例如下图的 Thread1 取全局队列中领取了一个任务。
同时 Thread3 也没活干了，但是全局队列中的任务被 Thread1 抢走了。这时候就会去 从 Thread2 的本地队列中抢 Thread2 的活。
Worker Thread 的生命周期管理
接下来我们把格局放大，关注点从 Worker Thread 的打工日常转移到对它们的生命周期管理上来。
为了更方便的解释线程管理的机制，这边使用下面使用一些代码做演示。
代码参考自 。
线程生命注入实验
Task.Run 会将 Task 调度到线程池中执行，下面的示例代码中等效于 ThreadPool.QueueUserWorkItem(WaitCallback callBack)，会把 Task 放到队列系统的全局队列中（顺便一提，如果在一个线程池线程中执行 Task.Run 会将 Task 调度到此线程池线程的本地队列中）。
.NET 5 实验一 默认线程池配置
static void Main(string[] args){ var sw = Stopwatch.StartNew(); var tcs = new TaskCompletionSource(); var tasks = new List<Task>(); for (int i = 1; i <= Environment.ProcessorCount * 2; i++) { int id = i; Console.WriteLine($"Loop Id: {id:00} | {sw.Elapsed.TotalSeconds:0.000} | Busy Threads: {GetBusyThreads()}"); tasks.Add(Task.Run(() => { Console.WriteLine($"Task Id: {id:00} | {sw.Elapsed.TotalSeconds:0.000} | Busy Threads: {GetBusyThreads()}"); tcs.Task.Wait(); })); } tasks.Add(Task.Run(() => { Console.WriteLine($"Task SetResult | {sw.Elapsed.TotalSeconds:0.000} | Busy Threads: {GetBusyThreads()}"); tcs.SetResult(); })); Task.WaitAll(tasks.ToArray()); Console.WriteLine($"Done: | {sw.Elapsed.TotalSeconds:0.000}");}static int GetBusyThreads(){ ThreadPool.GetAvailableThreads(out var available, out _); ThreadPool.GetMaxThreads(out var max, out _); return max - available;}首先在代码在 .NET 5 环境中运行以下代码，CPU 逻辑核心数 12。
Loop Id: 01 | 0.000 | Busy Threads: 0
Loop Id: 02 | 0.112 | Busy Threads: 1
Loop Id: 03 | 0.112 | Busy Threads: 2
Loop Id: 04 | 0.113 | Busy Threads: 4
Loop Id: 05 | 0.113 | Busy Threads: 7
Loop Id: 06 | 0.113 | Busy Threads: 10
Loop Id: 07 | 0.113 | Busy Threads: 10
Task Id: 01 | 0.113 | Busy Threads: 11
Task Id: 02 | 0.113 | Busy Threads: 12
Task Id: 03 | 0.113 | Busy Threads: 12
Task Id: 07 | 0.113 | Busy Threads: 12
Task Id: 04 | 0.113 | Busy Threads: 12
Task Id: 05 | 0.113 | Busy Threads: 12
Loop Id: 08 | 0.113 | Busy Threads: 10
Task Id: 08 | 0.113 | Busy Threads: 12
Loop Id: 09 | 0.113 | Busy Threads: 11
Loop Id: 10 | 0.113 | Busy Threads: 12
Loop Id: 11 | 0.114 | Busy Threads: 12
Loop Id: 12 | 0.114 | Busy Threads: 12
Loop Id: 13 | 0.114 | Busy Threads: 12
Loop Id: 14 | 0.114 | Busy Threads: 12
Loop Id: 15 | 0.114 | Busy Threads: 12
Loop Id: 16 | 0.114 | Busy Threads: 12
Loop Id: 17 | 0.114 | Busy Threads: 12
Loop Id: 18 | 0.114 | Busy Threads: 12
Loop Id: 19 | 0.114 | Busy Threads: 12
Loop Id: 20 | 0.114 | Busy Threads: 12
Loop Id: 21 | 0.114 | Busy Threads: 12
Loop Id: 22 | 0.114 | Busy Threads: 12
Loop Id: 23 | 0.114 | Busy Threads: 12
Loop Id: 24 | 0.114 | Busy Threads: 12
Task Id: 09 | 0.114 | Busy Threads: 12
Task Id: 06 | 0.114 | Busy Threads: 12
Task Id: 10 | 0.114 | Busy Threads: 12
Task Id: 11 | 0.114 | Busy Threads: 12
Task Id: 12 | 0.114 | Busy Threads: 12
Task Id: 13 | 1.091 | Busy Threads: 13
Task Id: 14 | 1.594 | Busy Threads: 14
Task Id: 15 | 2.099 | Busy Threads: 15
Task Id: 16 | 3.102 | Busy Threads: 16
Task Id: 17 | 3.603 | Busy Threads: 17
Task Id: 18 | 4.107 | Busy Threads: 18
Task Id: 19 | 4.611 | Busy Threads: 19
Task Id: 20 | 5.113 | Busy Threads: 20
Task Id: 21 | 5.617 | Busy Threads: 21
Task Id: 22 | 6.122 | Busy Threads: 22
Task Id: 23 | 7.128 | Busy Threads: 23
Task Id: 24 | 7.632 | Busy Threads: 24
Task SetResult | 8.135 | Busy Threads: 25
Done: | 8.136
Task.Run 会把 Task 调度到线程池上执行，前 24 个 task 都会被阻塞住，直到第 25 个被执行。每次都会打印出当前线程池中正在执行任务的线程数（也就是创建完成的线程数）。
可以观察到以下结果：
前几次循环，线程随着 Task 数量递增，后面几次循环直到循环结束为止，线程数一直维持在 12 没有发生变化。线程数在达到 12 之前，零间隔时间增加。第 12 到 第 13 线程间隔 1s 不到，往后约 500ms 增加一个线程。.NET 5 实验二 调整 ThreadPool 设置
在上面的代码最前面加入以下两行代码，继续在 .NET 5 环境运行一次。
ThreadPool.GetMinThreads(out int defaultMinThreads, out int completionPortThreads);Console.WriteLine($"DefaultMinThreads: {defaultMinThreads}");ThreadPool.SetMinThreads(14, completionPortThreads);运行结果如下
DefaultMinThreads: 12
Loop Id: 01 | 0.000 | Busy Threads: 0
Loop Id: 02 | 0.003 | Busy Threads: 1
Loop Id: 03 | 0.003 | Busy Threads: 2
Loop Id: 04 | 0.003 | Busy Threads: 5
Loop Id: 05 | 0.004 | Busy Threads: 8
Task Id: 01 | 0.004 | Busy Threads: 10
Task Id: 03 | 0.004 | Busy Threads: 10
Loop Id: 06 | 0.004 | Busy Threads: 10
Task Id: 02 | 0.004 | Busy Threads: 10
Task Id: 04 | 0.004 | Busy Threads: 10
Task Id: 05 | 0.004 | Busy Threads: 12
Loop Id: 07 | 0.004 | Busy Threads: 9
Loop Id: 08 | 0.004 | Busy Threads: 10
Loop Id: 09 | 0.004 | Busy Threads: 11
Loop Id: 10 | 0.004 | Busy Threads: 12
Task Id: 08 | 0.004 | Busy Threads: 14
Task Id: 06 | 0.004 | Busy Threads: 14
Task Id: 09 | 0.004 | Busy Threads: 14
Task Id: 10 | 0.004 | Busy Threads: 14
Loop Id: 11 | 0.004 | Busy Threads: 14
Loop Id: 12 | 0.004 | Busy Threads: 14
Loop Id: 13 | 0.004 | Busy Threads: 14
Loop Id: 14 | 0.004 | Busy Threads: 14
Loop Id: 15 | 0.004 | Busy Threads: 14
Loop Id: 16 | 0.004 | Busy Threads: 14
Loop Id: 17 | 0.004 | Busy Threads: 14
Loop Id: 18 | 0.004 | Busy Threads: 14
Loop Id: 19 | 0.004 | Busy Threads: 14
Loop Id: 20 | 0.004 | Busy Threads: 14
Loop Id: 21 | 0.004 | Busy Threads: 14
Loop Id: 22 | 0.004 | Busy Threads: 14
Task Id: 11 | 0.004 | Busy Threads: 14
Loop Id: 23 | 0.004 | Busy Threads: 14
Loop Id: 24 | 0.005 | Busy Threads: 14
Task Id: 07 | 0.005 | Busy Threads: 14
Task Id: 12 | 0.005 | Busy Threads: 14
Task Id: 13 | 0.005 | Busy Threads: 14
Task Id: 14 | 0.005 | Busy Threads: 14
Task Id: 15 | 0.982 | Busy Threads: 15
Task Id: 16 | 1.486 | Busy Threads: 16
Task Id: 17 | 1.991 | Busy Threads: 17
Task Id: 18 | 2.997 | Busy Threads: 18
Task Id: 19 | 3.501 | Busy Threads: 19
Task Id: 20 | 4.004 | Busy Threads: 20
Task Id: 21 | 4.509 | Busy Threads: 21
Task Id: 22 | 5.014 | Busy Threads: 22
Task Id: 23 | 5.517 | Busy Threads: 23
Task Id: 24 | 6.021 | Busy Threads: 24
Task SetResult | 6.522 | Busy Threads: 25
Done: | 6.523
在调整完线程池的最小线程数量之后，线程注入速度发生转折的时间点从第 12（默认min threads） 个线程换到了第 14（修改后的min threads）个线程。
整体时间也从 8s 缩到 6s。
.NET 5 实验三 tcs.Task.Wait() 改为 Thread.Sleep
static void Main(string[] args){ var sw = Stopwatch.StartNew(); var tasks = new List<Task>(); for (int i = 1; i <= Environment.ProcessorCount * 2; i++) { int id = i; Console.WriteLine( $"Loop Id: {id:00} | {sw.Elapsed.TotalSeconds:0.000} | Busy Threads: {GetBusyThreads()}"); tasks.Add(Task.Run(() => { Console.WriteLine( $"Task Id: {id:00} | {sw.Elapsed.TotalSeconds:0.000} | Busy Threads: {GetBusyThreads()}"); Thread.Sleep(Environment.ProcessorCount * 1000); })); } Task.WhenAll(tasks.ToArray()).ContinueWith(_ => { Console.WriteLine($"Done: | {sw.Elapsed.TotalSeconds:0.000}"); }); Console.ReadLine();}Loop Id: 01 | 0.000 | Busy Threads: 0
Loop Id: 02 | 0.027 | Busy Threads: 1
Loop Id: 03 | 0.027 | Busy Threads: 2
Loop Id: 04 | 0.027 | Busy Threads: 3
Loop Id: 05 | 0.028 | Busy Threads: 4
Loop Id: 06 | 0.028 | Busy Threads: 10
Loop Id: 07 | 0.028 | Busy Threads: 9
Loop Id: 08 | 0.028 | Busy Threads: 9
Loop Id: 09 | 0.028 | Busy Threads: 10
Loop Id: 10 | 0.028 | Busy Threads: 12
Loop Id: 11 | 0.028 | Busy Threads: 12
Loop Id: 12 | 0.028 | Busy Threads: 12
Loop Id: 13 | 0.028 | Busy Threads: 12
Loop Id: 14 | 0.028 | Busy Threads: 12
Loop Id: 15 | 0.028 | Busy Threads: 12
Loop Id: 16 | 0.028 | Busy Threads: 12
Loop Id: 17 | 0.028 | Busy Threads: 12
Loop Id: 18 | 0.028 | Busy Threads: 12
Loop Id: 19 | 0.028 | Busy Threads: 12
Loop Id: 20 | 0.028 | Busy Threads: 12
Loop Id: 21 | 0.028 | Busy Threads: 12
Loop Id: 22 | 0.028 | Busy Threads: 12
Loop Id: 23 | 0.028 | Busy Threads: 12
Loop Id: 24 | 0.028 | Busy Threads: 12
Task Id: 01 | 0.029 | Busy Threads: 12
Task Id: 05 | 0.029 | Busy Threads: 12
Task Id: 03 | 0.029 | Busy Threads: 12
Task Id: 08 | 0.029 | Busy Threads: 12
Task Id: 09 | 0.029 | Busy Threads: 12
Task Id: 10 | 0.029 | Busy Threads: 12
Task Id: 06 | 0.029 | Busy Threads: 12
Task Id: 11 | 0.029 | Busy Threads: 12
Task Id: 12 | 0.029 | Busy Threads: 12
Task Id: 04 | 0.029 | Busy Threads: 12
Task Id: 02 | 0.029 | Busy Threads: 12
Task Id: 07 | 0.029 | Busy Threads: 12
Task Id: 13 | 1.018 | Busy Threads: 13
Task Id: 14 | 1.522 | Busy Threads: 14
Task Id: 15 | 2.025 | Busy Threads: 15
Task Id: 16 | 2.530 | Busy Threads: 16
Task Id: 17 | 3.530 | Busy Threads: 17
Task Id: 18 | 4.035 | Busy Threads: 18
Task Id: 19 | 4.537 | Busy Threads: 19
Task Id: 20 | 5.040 | Busy Threads: 20
Task Id: 21 | 5.545 | Busy Threads: 21
Task Id: 22 | 6.048 | Busy Threads: 22
Task Id: 23 | 7.049 | Busy Threads: 23
Task Id: 24 | 8.056 | Busy Threads: 24
Done: | 20.060
达到 min threads （默认12）之后，线程注入速度明显变慢，最快间隔 500ms。
.NET 6 实验一 默认 ThreadPool 设置
将 .NET 5 实验一的代码在 .NET 6 执行一次
Loop Id: 01 | 0.001 | Busy Threads: 0
Loop Id: 02 | 0.018 | Busy Threads: 1
Loop Id: 03 | 0.018 | Busy Threads: 3
Loop Id: 04 | 0.018 | Busy Threads: 6
Loop Id: 05 | 0.018 | Busy Threads: 4
Loop Id: 06 | 0.018 | Busy Threads: 5
Loop Id: 07 | 0.018 | Busy Threads: 6
Loop Id: 08 | 0.018 | Busy Threads: 8
Task Id: 01 | 0.018 | Busy Threads: 11
Task Id: 04 | 0.018 | Busy Threads: 11
Task Id: 03 | 0.018 | Busy Threads: 11
Task Id: 02 | 0.018 | Busy Threads: 11
Task Id: 05 | 0.018 | Busy Threads: 11
Loop Id: 09 | 0.018 | Busy Threads: 12
Loop Id: 10 | 0.018 | Busy Threads: 12
Loop Id: 11 | 0.018 | Busy Threads: 12
Loop Id: 12 | 0.018 | Busy Threads: 12
Loop Id: 13 | 0.018 | Busy Threads: 12
Task Id: 09 | 0.018 | Busy Threads: 12
Loop Id: 14 | 0.018 | Busy Threads: 12
Loop Id: 15 | 0.018 | Busy Threads: 12
Loop Id: 16 | 0.018 | Busy Threads: 12
Loop Id: 17 | 0.018 | Busy Threads: 12
Task Id: 06 | 0.018 | Busy Threads: 12
Loop Id: 18 | 0.018 | Busy Threads: 12
Loop Id: 19 | 0.018 | Busy Threads: 12
Loop Id: 20 | 0.018 | Busy Threads: 12
Loop Id: 21 | 0.018 | Busy Threads: 12
Loop Id: 22 | 0.018 | Busy Threads: 12
Loop Id: 23 | 0.018 | Busy Threads: 12
Loop Id: 24 | 0.018 | Busy Threads: 12
Task Id: 10 | 0.018 | Busy Threads: 12
Task Id: 07 | 0.019 | Busy Threads: 12
Task Id: 11 | 0.019 | Busy Threads: 12
Task Id: 08 | 0.019 | Busy Threads: 12
Task Id: 12 | 0.019 | Busy Threads: 12
Task Id: 13 | 0.020 | Busy Threads: 16
Task Id: 14 | 0.020 | Busy Threads: 17
Task Id: 15 | 0.020 | Busy Threads: 18
Task Id: 16 | 0.020 | Busy Threads: 19
Task Id: 17 | 0.020 | Busy Threads: 20
Task Id: 18 | 0.020 | Busy Threads: 21
Task Id: 19 | 0.020 | Busy Threads: 22
Task Id: 20 | 0.020 | Busy Threads: 23
Task Id: 21 | 0.020 | Busy Threads: 24
Task Id: 23 | 0.020 | Busy Threads: 24
Task Id: 22 | 0.020 | Busy Threads: 24
Task Id: 24 | 0.020 | Busy Threads: 24
Task SetResult | 0.045 | Busy Threads: 25
Done: | 0.046
与实验一相比，虽然线程数仍然停留在 12 了一段时间，但随后线程就立即增长了，后文会介绍 .NET 6 在这方面做出的改进。
.NET 6 实验二 调整 ThreadPool 设置
将 .NET 5 实验二的代码在 .NET 6 中执行一次
DefaultMinThreads: 12
Loop Id: 01 | 0.001 | Busy Threads: 0
Loop Id: 02 | 0.014 | Busy Threads: 1
Loop Id: 03 | 0.014 | Busy Threads: 2
Loop Id: 04 | 0.015 | Busy Threads: 5
Loop Id: 05 | 0.015 | Busy Threads: 4
Loop Id: 06 | 0.015 | Busy Threads: 5
Loop Id: 07 | 0.015 | Busy Threads: 7
Loop Id: 08 | 0.015 | Busy Threads: 8
Loop Id: 09 | 0.015 | Busy Threads: 11
Task Id: 06 | 0.015 | Busy Threads: 9
Task Id: 01 | 0.015 | Busy Threads: 9
Task Id: 02 | 0.015 | Busy Threads: 9
Task Id: 05 | 0.015 | Busy Threads: 9
Task Id: 03 | 0.015 | Busy Threads: 9
Task Id: 04 | 0.015 | Busy Threads: 9
Task Id: 07 | 0.015 | Busy Threads: 9
Task Id: 08 | 0.016 | Busy Threads: 9
Task Id: 09 | 0.016 | Busy Threads: 9
Loop Id: 10 | 0.016 | Busy Threads: 9
Loop Id: 11 | 0.016 | Busy Threads: 10
Loop Id: 12 | 0.016 | Busy Threads: 11
Loop Id: 13 | 0.016 | Busy Threads: 13
Task Id: 10 | 0.016 | Busy Threads: 14
Loop Id: 14 | 0.016 | Busy Threads: 14
Loop Id: 15 | 0.016 | Busy Threads: 14
Loop Id: 16 | 0.016 | Busy Threads: 14
Task Id: 11 | 0.016 | Busy Threads: 14
Loop Id: 17 | 0.016 | Busy Threads: 14
Loop Id: 18 | 0.016 | Busy Threads: 14
Loop Id: 19 | 0.016 | Busy Threads: 14
Loop Id: 20 | 0.016 | Busy Threads: 14
Loop Id: 21 | 0.016 | Busy Threads: 14
Loop Id: 22 | 0.016 | Busy Threads: 14
Loop Id: 23 | 0.016 | Busy Threads: 14
Loop Id: 24 | 0.016 | Busy Threads: 14
Task Id: 12 | 0.016 | Busy Threads: 14
Task Id: 13 | 0.016 | Busy Threads: 14
Task Id: 14 | 0.016 | Busy Threads: 14
Task Id: 15 | 0.017 | Busy Threads: 18
Task Id: 16 | 0.017 | Busy Threads: 19
Task Id: 17 | 0.017 | Busy Threads: 20
Task Id: 18 | 0.017 | Busy Threads: 21
Task Id: 19 | 0.017 | Busy Threads: 22
Task Id: 20 | 0.018 | Busy Threads: 23
Task Id: 21 | 0.018 | Busy Threads: 24
Task Id: 22 | 0.018 | Busy Threads: 25
Task Id: 23 | 0.018 | Busy Threads: 26
Task Id: 24 | 0.018 | Busy Threads: 26
Task SetResult | 0.018 | Busy Threads: 25
Done: | 0.019
前半部分有部分日志乱序，可以看到，与实验三一样，维持在最大线程数一小段时间之后，立即就开始了线程增长。
.NET 6 实验三 tcs.Task.Wait() 改为 Thread.Sleep
将 .NET 5 实验三的代码在 .NET 6 中执行一次
Loop Id: 01 | 0.003 | Busy Threads: 0
Loop Id: 02 | 0.024 | Busy Threads: 1
Loop Id: 03 | 0.025 | Busy Threads: 2
Loop Id: 04 | 0.025 | Busy Threads: 3
Loop Id: 05 | 0.025 | Busy Threads: 7
Loop Id: 06 | 0.025 | Busy Threads: 5
Loop Id: 07 | 0.025 | Busy Threads: 6
Loop Id: 08 | 0.025 | Busy Threads: 7
Loop Id: 09 | 0.025 | Busy Threads: 9
Loop Id: 10 | 0.025 | Busy Threads: 10
Loop Id: 11 | 0.026 | Busy Threads: 10
Loop Id: 12 | 0.026 | Busy Threads: 11
Loop Id: 13 | 0.026 | Busy Threads: 12
Loop Id: 14 | 0.026 | Busy Threads: 12
Loop Id: 15 | 0.026 | Busy Threads: 12
Loop Id: 16 | 0.026 | Busy Threads: 12
Loop Id: 17 | 0.026 | Busy Threads: 12
Loop Id: 18 | 0.026 | Busy Threads: 12
Loop Id: 19 | 0.026 | Busy Threads: 12
Loop Id: 20 | 0.026 | Busy Threads: 12
Loop Id: 21 | 0.026 | Busy Threads: 12
Loop Id: 22 | 0.026 | Busy Threads: 12
Loop Id: 23 | 0.026 | Busy Threads: 12
Loop Id: 24 | 0.026 | Busy Threads: 12
Task Id: 01 | 0.026 | Busy Threads: 12
Task Id: 02 | 0.026 | Busy Threads: 12
Task Id: 05 | 0.026 | Busy Threads: 12
Task Id: 04 | 0.026 | Busy Threads: 12
Task Id: 06 | 0.026 | Busy Threads: 12
Task Id: 08 | 0.026 | Busy Threads: 12
Task Id: 09 | 0.026 | Busy Threads: 12
Task Id: 03 | 0.026 | Busy Threads: 12
Task Id: 11 | 0.026 | Busy Threads: 12
Task Id: 10 | 0.026 | Busy Threads: 12
Task Id: 07 | 0.026 | Busy Threads: 12
Task Id: 12 | 0.026 | Busy Threads: 12
Task Id: 13 | 1.026 | Busy Threads: 13
Task Id: 14 | 2.027 | Busy Threads: 14
Task Id: 15 | 3.028 | Busy Threads: 15
Task Id: 16 | 4.030 | Busy Threads: 16
Task Id: 17 | 5.031 | Busy Threads: 17
Task Id: 18 | 6.032 | Busy Threads: 18
Task Id: 19 | 6.533 | Busy Threads: 19
Task Id: 20 | 7.035 | Busy Threads: 20
Task Id: 21 | 8.036 | Busy Threads: 21
Task Id: 22 | 8.537 | Busy Threads: 22
Task Id: 23 | 9.538 | Busy Threads: 23
Task Id: 24 | 10.039 | Busy Threads: 24
Done: | 22.041
结果与 .NET 5 的实验三相差不大。
线程注入
对照上述的几组实验结果，接下来以 .NET 6 中 C# 实现的 ThreadPool 作为资料来理解一下线程注入的几个阶段（按个人理解进行的划分，仅供参考）。
1. 第一个线程的出现
随着任务被调度到队列上，第一个线程被创建出来。
下面是线程池在执行第一个任务的时候的代码摘要，涉及到计数的并执行相关处理的地方，代码都使用了 while(xxx) + Interlocked 的方式来进行并发控制，可以理解成乐观锁。这一阶段，实际上我们只需要关注到 ThreadPoolWorkQueue.EnsureThreadRequested 方法就行了。
可利用 Rider 的反编译 Debug 功能帮助我们学习。
下面是第一个 Task.Run 的代码执行路径
注意：执行环节是 Main Thread
public static class ThreadPool{ internal static readonly ThreadPoolWorkQueue s_workQueue = new ThreadPoolWorkQueue(); public static bool QueueUserWorkItem(WaitCallback callBack, object state) { object tpcallBack = new QueueUserWorkItemCallback(callBack!, state); s_workQueue.Enqueue(tpcallBack, forceGlobal: true); return true; }}internal sealed class ThreadPoolWorkQueue{ [StructLayout(LayoutKind.Sequential)] private struct CacheLineSeparated { private readonly Internal.PaddingFor32 pad1; public volatile int numOutstandingThreadRequests; private readonly Internal.PaddingFor32 pad2; } private CacheLineSeparated _separated; public void Enqueue(object callback, bool forceGlobal) { // 线程池中执行的任务有两种：IThreadPoolWorkItem、Task Debug.Assert((callback is IThreadPoolWorkItem) ^ (callback is Task)); if (loggingEnabled && FrameworkEventSource.Log.IsEnabled()) FrameworkEventSource.Log.ThreadPoolEnqueueWorkObject(callback); ThreadPoolWorkQueueThreadLocals? tl = null; if (!forceGlobal) // 获取本地队列，如果执行改代码的线程不是线程池线程， // 那这边是获取不到的，就算 forceGlobal 是 false， // 也会把任务放到全局队列 tl = ThreadPoolWorkQueueThreadLocals.threadLocals; if (null != tl) { // 放到本地队列 tl.workStealingQueue.LocalPush(callback); } else { // 当道全局队列 workItems.Enqueue(callback); } EnsureThreadRequested(); } internal void EnsureThreadRequested() { // // If we have not yet requested #procs threads, then request a new thread. // // CoreCLR: Note that there is a separate count in the VM which has already been incremented // by the VM by the time we reach this point. // int count = _separated.numOutstandingThreadRequests; while (count < Environment.ProcessorCount) { int prev = Interlocked.CompareExchange(ref _separated.numOutstandingThreadRequests, count + 1, count); if (prev == count) { ThreadPool.RequestWorkerThread(); break; } count = prev; } } public static class ThreadPool { /// <summary> /// This method is called to request a new thread pool worker to handle pending work. /// </summary> internal static void RequestWorkerThread() => PortableThreadPool.ThreadPoolInstance.RequestWorker(); } internal sealed class PortableThreadPool { public static readonly PortableThreadPool ThreadPoolInstance = new PortableThreadPool(); internal void RequestWorker() { // The order of operations here is important. MaybeAddWorkingWorker() and EnsureRunning() use speculative checks to // do their work and the memory barrier from the interlocked operation is necessary in this case for correctness. Interlocked.Increment(ref _separated.numRequestedWorkers); WorkerThread.MaybeAddWorkingWorker(this); // 初始化 GateThread GateThread.EnsureRunning(this); } /// <summary> /// The worker thread infastructure for the CLR thread pool. /// </summary> private static class WorkerThread { internal static void MaybeAddWorkingWorker(PortableThreadPool threadPoolInstance) { ThreadCounts counts = threadPoolInstance._separated.counts; short numExistingThreads, numProcessingWork, newNumExistingThreads, newNumProcessingWork; // 这个 while (true) 是确保计算出正确的待创建线程数 while (true) { numProcessingWork = counts.NumProcessingWork; if (numProcessingWork >= counts.NumThreadsGoal) { return; } newNumProcessingWork = (short)(numProcessingWork + 1); numExistingThreads = counts.NumExistingThreads; newNumExistingThreads = Math.Max(numExistingThreads, newNumProcessingWork); ThreadCounts newCounts = counts; newCounts.NumProcessingWork = newNumProcessingWork; newCounts.NumExistingThreads = newNumExistingThreads; ThreadCounts oldCounts = threadPoolInstance._separated.counts.InterlockedCompareExchange(newCounts, counts); if (oldCounts == counts) { break; } counts = oldCounts; } int toCreate = newNumExistingThreads - numExistingThreads; int toRelease = newNumProcessingWork - numProcessingWork; if (toRelease > 0) { s_semaphore.Release(toRelease); } while (toCreate > 0) { if (TryCreateWorkerThread()) { toCreate--; continue; } counts = threadPoolInstance._separated.counts; while (true) { ThreadCounts newCounts = counts; newCounts.SubtractNumProcessingWork((short)toCreate); newCounts.SubtractNumExistingThreads((short)toCreate); ThreadCounts oldCounts = threadPoolInstance._separated.counts.InterlockedCompareExchange(newCounts, counts); if (oldCounts == counts) { break; } counts = oldCounts; } break; } } private static bool TryCreateWorkerThread() { try { // Thread pool threads must start in the default execution context without transferring the context, so // using UnsafeStart() instead of Start() Thread workerThread = new Thread(s_workerThreadStart); workerThread.IsThreadPoolThread = true; workerThread.IsBackground = true; // thread name will be set in thread proc workerThread.UnsafeStart(); } catch (ThreadStartException) { return false; } catch (OutOfMemoryException) { return false; } return true; } } }}2. 达到 min threads 之前的线程数增长细心的朋友会发现上面代码里 EnsureThreadRequested 方法有一个终止条件，_separated.numOutstandingThreadRequests == Environment.ProcessorCount，每次新增一个 ThreadRequested，这个数就会 +1，似乎允许创建的最大 Worker Thread 是 Environment.ProcessorCount？
其实 ThreadPoolWorkQueue 维护的 NumOutstandingThreadRequests 这个值会在线程池线程真正跑起来之后，会在 ThreadPoolWorkQueue.Dispatch方法中 -1。也就是说，只要有一个线程真正运行起来了，就能创建第 Environment.ProcessorCount + 1 个Thread。当然，在向 ThreadPoolWorkQueue 加入第13个任务的时候，第13个 Worker Thread 就算不允许创建也没关系，因为任务已经入队了，会被运行起来的 Worker Thread 取走。
min threads 初始值为 运行环境 CPU 核心数，可通过 ThreadPool.SetMinThreads 进行设置，参数有效范围是 [1, max threads]。
PortableThreadPool里维护了一个计数器 PortableThreadPool.ThreadPoolInstance._separated.counts，记录了 Worker Thread 相关的三个数值：
NumProcessingWork：当前正在执行任务的 Worker Thread。NumExistingThreads：当前线程池中实际有的 Worker Thread。NumThreadsGoal：当前允许创建的最大 Worker Thread，初始值为 min threads。
internal class PortableThreadPool { public static readonly PortableThreadPool ThreadPoolInstance = new PortableThreadPool(); private CacheLineSeparated _separated; private struct CacheLineSeparated { public ThreadCounts counts; } /// <summary> /// Tracks information on the number of threads we want/have in different states in our thread pool. /// </summary> private struct ThreadCounts { /// <summary> /// Number of threads processing work items. /// </summary> public short NumProcessingWork { get; set; } /// <summary> /// Number of thread pool threads that currently exist. /// </summary> public short NumExistingThreads { get; set; } // <summary> /// Max possible thread pool threads we want to have. /// </summary> public short NumThreadsGoal { get; set; } } }3. 避免饥饿机制（Starvation Avoidance）上面讲到，随着任务进入队列系统，Worker Thread 将随之增长，直到达到 NumThreadsGoal。
NumThreadsGoal 是12，前 12 个线程都被堵住了，加入到队列系统的第 13 个任务没办法被这前 12 个线程领走执行。
在这种情况下，线程池的 Starvation Avoidance 机制就起到作用了。
在上述所说的第一个阶段，除了线程池中的第一个线程会被创建之外，GateThread 也会随之被初始化。在第一阶段的代码摘录中，可以看到 GateThread 的初始化。
internal sealed class PortableThreadPool{ public static readonly PortableThreadPool ThreadPoolInstance = new PortableThreadPool(); internal void RequestWorker() { Interlocked.Increment(ref _separated.numRequestedWorkers); WorkerThread.MaybeAddWorkingWorker(this); // 初始化 GateThread GateThread.EnsureRunning(this); }}在 GateThread 是一个独立的线程，每隔 500ms 进行检查一下，如果 NumProcessingWork >= NumThreadsGoal（WorkerThread.MaybeAddWorkingWorker 不添加 Worker Thread 的判断条件），就设置新的 NumThreadsGoal = NumProcessingWork + 1，并调用 WorkerThread.MaybeAddWorkingWorker，这样新的 Worker Thread 就可以被 WorkerThread.MaybeAddWorkingWorker 创建。
这就解释了，为什么 .NET 5 实验一、二在线程数达到min threads（NumThreadsGoal 的默认值）之后，后面 Worker Thread 的增长是每 500ms 一个。
由于在第三阶段中，线程的增长会比较缓慢，有经验的开发会在应用启动的时候设置一个较大的 min threads，使其较晚或不进入第三阶段。
线程注入在 .NET 6 中的改进
.NET 6 与 .NET 5 的实验二相比，达到 min threads 之后，线程的增长速度有明显的差异，而两者的实验三却相差不大。
** .NET 6 对于 Task.Wait 导致线程池线程阻塞的场景进行了优化，但如果并非此原因导致的线程数不够用，依旧是 Starvation Avoidance 的策略。**
新的 ThreadPool 提供了一个 ThreadPool.NotifyThreadBlocked 的内部接口，里面会调用 GateThread.Wake 去唤醒 GateThread 本来 500ms 执行一次的逻辑，这 500ms 的间隔时间是通过 AutoResetEvent 实现的，所以 GateThread.Wake 也很简单。
关键代码示意，非真实代码：
internal class PortableThreadPool{ public bool NotifyThreadBlocked() { // ... GateThread.Wake(this); return true; } private static class GateThread { private static readonly AutoResetEvent DelayEvent = new AutoResetEvent(initialState: false); // GateThread 入口方法 private static void GateThreadStart() { while(true) { DelayEvent.WaitOne(500); // ... } } public static void Wake(PortableThreadPool threadPoolInstance) { DelayEvent.Set(); EnsureRunning(threadPoolInstance); } }爬山算法（Hill Climbing）除了上述介绍的线程注入机制外，从CLR 4.0开始，线程池内实现了一个根据采集到线程池吞吐率数据（每次任务完成时记录数据），推导出该算法认为最优的线程池线程数量。
算法实现位于 HillClimbing.ThreadPoolHillClimber.Update，有兴趣的朋友可以去看一下。
public (int newThreadCount, int newSampleMs) Update(int currentThreadCount, double sampleDurationSeconds, int numCompletions)currentThreadCount：当前线程数sampleDurationSeconds：采样间隔numCompletions：这段采样时间间隔内完成的任务数newThreadCount：新的线程数newSample：新的采样间隔时间不必要线程的销毁
如果线程需要被移除的时候，本地队列还存在待执行任务，则会将这些任务转移到全局队列中。
在以下几个场景中，线程池将会销毁掉不需要的线程，并不一定全面，只限于笔者当前认知。
在无法从队列系统领取到任务时。通过爬山算法认定当前线程属于多余线程时。参考资料
标签： #net线程池
