ASP.NET Core 3.x 并發(fā)限制的實(shí)現(xiàn)代碼
前言
Microsoft.AspNetCore.ConcurrencyLimiter AspNetCore3.0后增加的,用于傳入的請(qǐng)求進(jìn)行排隊(duì)處理,避免線程池的不足.
我們?nèi)粘i_發(fā)中可能常做的給某web服務(wù)器配置連接數(shù)以及,請(qǐng)求隊(duì)列大小,那么今天我們看看如何在通過中間件形式實(shí)現(xiàn)一個(gè)并發(fā)量以及隊(duì)列長(zhǎng)度限制.
Queue策略
添加Nuget
Install-Package Microsoft.AspNetCore.ConcurrencyLimiter
public void ConfigureServices(IServiceCollection services) { services.AddQueuePolicy(options => { //最大并發(fā)請(qǐng)求數(shù) options.MaxConcurrentRequests = 2; //請(qǐng)求隊(duì)列長(zhǎng)度限制 options.RequestQueueLimit = 1; }); services.AddControllers(); } public void Configure(IApplicationBuilder app, IWebHostEnvironment env) { //添加并發(fā)限制中間件 app.UseConcurrencyLimiter(); app.Run(async context => { Task.Delay(100).Wait(); // 100ms sync-over-async await context.Response.WriteAsync("Hello World!"); }); if (env.IsDevelopment()) { app.UseDeveloperExceptionPage(); } app.UseHttpsRedirection(); app.UseRouting(); app.UseAuthorization(); app.UseEndpoints(endpoints => { endpoints.MapControllers(); }); }
通過上面簡(jiǎn)單的配置,我們就可以將他引入到我們的代碼中,從而做并發(fā)量限制,以及隊(duì)列的長(zhǎng)度;那么問題來了,他是怎么實(shí)現(xiàn)的呢?
public static IServiceCollection AddQueuePolicy(this IServiceCollection services, Action<QueuePolicyOptions> configure) { services.Configure(configure); services.AddSingleton<IQueuePolicy, QueuePolicy>(); return services; }
QueuePolicy采用的是SemaphoreSlim信號(hào)量設(shè)計(jì),SemaphoreSlim、Semaphore(信號(hào)量)支持并發(fā)多線程進(jìn)入被保護(hù)代碼,對(duì)象在初始化時(shí)會(huì)指定 最大任務(wù)數(shù)量,當(dāng)線程請(qǐng)求訪問資源,信號(hào)量遞減,而當(dāng)他們釋放時(shí),信號(hào)量計(jì)數(shù)又遞增。
/// <summary> /// 構(gòu)造方法(初始化Queue策略) /// </summary> /// <param name="options"></param> public QueuePolicy(IOptions<QueuePolicyOptions> options) { _maxConcurrentRequests = options.Value.MaxConcurrentRequests; if (_maxConcurrentRequests <= 0) { throw new ArgumentException(nameof(_maxConcurrentRequests), "MaxConcurrentRequests must be a positive integer."); } _requestQueueLimit = options.Value.RequestQueueLimit; if (_requestQueueLimit < 0) { throw new ArgumentException(nameof(_requestQueueLimit), "The RequestQueueLimit cannot be a negative number."); } //使用SemaphoreSlim來限制任務(wù)最大個(gè)數(shù) _serverSemaphore = new SemaphoreSlim(_maxConcurrentRequests); }
ConcurrencyLimiterMiddleware中間件
/// <summary> /// Invokes the logic of the middleware. /// </summary> /// <param name="context">The <see cref="HttpContext"/>.</param> /// <returns>A <see cref="Task"/> that completes when the request leaves.</returns> public async Task Invoke(HttpContext context) { var waitInQueueTask = _queuePolicy.TryEnterAsync(); // Make sure we only ever call GetResult once on the TryEnterAsync ValueTask b/c it resets. bool result; if (waitInQueueTask.IsCompleted) { ConcurrencyLimiterEventSource.Log.QueueSkipped(); result = waitInQueueTask.Result; } else { using (ConcurrencyLimiterEventSource.Log.QueueTimer()) { result = await waitInQueueTask; } } if (result) { try { await _next(context); } finally { _queuePolicy.OnExit(); } } else { ConcurrencyLimiterEventSource.Log.RequestRejected(); ConcurrencyLimiterLog.RequestRejectedQueueFull(_logger); context.Response.StatusCode = StatusCodes.Status503ServiceUnavailable; await _onRejected(context); } }
每次當(dāng)我們請(qǐng)求的時(shí)候首先會(huì)調(diào)用_queuePolicy.TryEnterAsync(),進(jìn)入該方法后先開啟一個(gè)私有l(wèi)ock鎖,再接著判斷總請(qǐng)求量是否≥(請(qǐng)求隊(duì)列限制的大小+最大并發(fā)請(qǐng)求數(shù)),如果當(dāng)前數(shù)量超出了,那么我直接拋出,送你個(gè)503狀態(tài);
if (result) { try { await _next(context); } finally { _queuePolicy.OnExit(); } } else { ConcurrencyLimiterEventSource.Log.RequestRejected(); ConcurrencyLimiterLog.RequestRejectedQueueFull(_logger); context.Response.StatusCode = StatusCodes.Status503ServiceUnavailable; await _onRejected(context); }
問題來了,我這邊如果說還沒到你設(shè)置的大小呢,我這個(gè)請(qǐng)求沒有給你服務(wù)器造不成壓力,那么你給我處理一下吧.
await _serverSemaphore.WaitAsync();
異步等待進(jìn)入信號(hào)量,如果沒有線程被授予對(duì)信號(hào)量的訪問權(quán)限,則進(jìn)入執(zhí)行保護(hù)代碼;否則此線程將在此處等待,直到信號(hào)量被釋放為止
lock (_totalRequestsLock) { if (TotalRequests >= _requestQueueLimit + _maxConcurrentRequests) { return false; } TotalRequests++; } //異步等待進(jìn)入信號(hào)量,如果沒有線程被授予對(duì)信號(hào)量的訪問權(quán)限,則進(jìn)入執(zhí)行保護(hù)代碼;否則此線程將在此處等待,直到信號(hào)量被釋放為止 await _serverSemaphore.WaitAsync(); return true; }
返回成功后那么中間件這邊再進(jìn)行處理,_queuePolicy.OnExit();通過該調(diào)用進(jìn)行調(diào)用_serverSemaphore.Release();釋放信號(hào)燈,再對(duì)總請(qǐng)求數(shù)遞減
Stack策略
再來看看另一種方法,棧策略,他是怎么做的呢?一起來看看.再附加上如何使用的代碼.
public void ConfigureServices(IServiceCollection services) { services.AddStackPolicy(options => { //最大并發(fā)請(qǐng)求數(shù) options.MaxConcurrentRequests = 2; //請(qǐng)求隊(duì)列長(zhǎng)度限制 options.RequestQueueLimit = 1; }); services.AddControllers(); }
通過上面的配置,我們便可以對(duì)我們的應(yīng)用程序執(zhí)行出相應(yīng)的策略.下面再來看看他是怎么實(shí)現(xiàn)的呢
public static IServiceCollection AddStackPolicy(this IServiceCollection services, Action<QueuePolicyOptions> configure) { services.Configure(configure); services.AddSingleton<IQueuePolicy, StackPolicy>(); return services; }
可以看到這次是通過StackPolicy類做的策略.來一起來看看主要的方法
/// <summary> /// 構(gòu)造方法(初始化參數(shù)) /// </summary> /// <param name="options"></param> public StackPolicy(IOptions<QueuePolicyOptions> options) { //棧分配 _buffer = new List<ResettableBooleanCompletionSource>(); //隊(duì)列大小 _maxQueueCapacity = options.Value.RequestQueueLimit; //最大并發(fā)請(qǐng)求數(shù) _maxConcurrentRequests = options.Value.MaxConcurrentRequests; //剩余可用空間 _freeServerSpots = options.Value.MaxConcurrentRequests; }
當(dāng)我們通過中間件請(qǐng)求調(diào)用,_queuePolicy.TryEnterAsync()時(shí),首先會(huì)判斷我們是否還有訪問請(qǐng)求次數(shù),如果_freeServerSpots>0,那么則直接給我們返回true,讓中間件直接去執(zhí)行下一步,如果當(dāng)前隊(duì)列=我們?cè)O(shè)置的隊(duì)列大小的話,那我們需要取消先前請(qǐng)求;每次取消都是先取消之前的保留后面的請(qǐng)求;
public ValueTask<bool> TryEnterAsync() { lock (_bufferLock) { if (_freeServerSpots > 0) { _freeServerSpots--; return _trueTask; } // 如果隊(duì)列滿了,取消先前的請(qǐng)求 if (_queueLength == _maxQueueCapacity) { _hasReachedCapacity = true; _buffer[_head].Complete(false); _queueLength--; } var tcs = _cachedResettableTCS ??= new ResettableBooleanCompletionSource(this); _cachedResettableTCS = null; if (_hasReachedCapacity || _queueLength < _buffer.Count) { _buffer[_head] = tcs; } else { _buffer.Add(tcs); } _queueLength++; // increment _head for next time _head++; if (_head == _maxQueueCapacity) { _head = 0; } return tcs.GetValueTask(); } }
當(dāng)我們請(qǐng)求后調(diào)用_queuePolicy.OnExit();出棧,再將請(qǐng)求長(zhǎng)度遞減
public void OnExit() { lock (_bufferLock) { if (_queueLength == 0) { _freeServerSpots++; if (_freeServerSpots > _maxConcurrentRequests) { _freeServerSpots--; throw new InvalidOperationException("OnExit must only be called once per successful call to TryEnterAsync"); } return; } // step backwards and launch a new task if (_head == 0) { _head = _maxQueueCapacity - 1; } else { _head--; } //退出,出棧 _buffer[_head].Complete(true); _queueLength--; } }
總結(jié)
基于棧結(jié)構(gòu)的特點(diǎn),在實(shí)際應(yīng)用中,通常只會(huì)對(duì)棧執(zhí)行以下兩種操作:
- 向棧中添加元素,此過程被稱為"進(jìn)棧"(入?;驂簵#?/li>
- 從棧中提取出指定元素,此過程被稱為"出棧"(或彈棧);
隊(duì)列存儲(chǔ)結(jié)構(gòu)的實(shí)現(xiàn)有以下兩種方式:
- 順序隊(duì)列:在順序表的基礎(chǔ)上實(shí)現(xiàn)的隊(duì)列結(jié)構(gòu);
- 鏈隊(duì)列:在鏈表的基礎(chǔ)上實(shí)現(xiàn)的隊(duì)列結(jié)構(gòu);
以上就是本文的全部?jī)?nèi)容,希望對(duì)大家的學(xué)習(xí)有所幫助,也希望大家多多支持腳本之家。
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