利用 JavaScript 实现并发控制的示例代码
(编辑:jimmy 日期: 2024/11/24 浏览:3 次 )
一、前言
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const task = timeout => new Promise((resolve) => setTimeout(() => { resolve(timeout); }, timeout)) const taskList = [1000, 3000, 200, 1300, 800, 2000]; async function startNoConcurrentControl() { console.time(NO_CONCURRENT_CONTROL_LOG); await Promise.all(taskList.map(item => task(item))); console.timeEnd(NO_CONCURRENT_CONTROL_LOG); } startNoConcurrentControl();
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class Queue { constructor() { this._queue = []; } push(value) { return this._queue.push(value); } shift() { return this._queue.shift(); } isEmpty() { return this._queue.length === 0; } }
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class DelayedTask { constructor(resolve, fn, args) { this.resolve = resolve; this.fn = fn; this.args = args; } }
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class TaskPool { constructor(size) { this.size = size; this.queue = new Queue(); } addTask(fn, args) { return new Promise((resolve) => { this.queue.push(new DelayedTask(resolve, fn, args)); if (this.size) { this.size--; const { resolve: taskResole, fn, args } = this.queue.shift(); taskResole(this.runTask(fn, args)); } }) } pullTask() { if (this.queue.isEmpty()) { return; } if (this.size === 0) { return; } this.size++; const { resolve, fn, args } = this.queue.shift(); resolve(this.runTask(fn, args)); } runTask(fn, args) { const result = Promise.resolve(fn(...args)); result.then(() => { this.size--; this.pullTask(); }).catch(() => { this.size--; this.pullTask(); }) return result; } }
TaskPool 包含三个关键方法:
- addTask: 将新的任务放入队列当中,并触发任务池状态检测,如果当前任务池非满载状态,则从队列中取出任务放入任务池中执行。
- runTask: 执行当前任务,任务执行完成之后,更新任务池状态,此时触发主动拉取新任务的机制。
- pullTask: 如果当前队列不为空,且任务池不满载,则主动取出队列中的任务执行。
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const cc = new ConcurrentControl(2); async function startConcurrentControl() { console.time(CONCURRENT_CONTROL_LOG); await Promise.all(taskList.map(item => cc.addTask(task, [item]))) console.timeEnd(CONCURRENT_CONTROL_LOG); } startConcurrentControl();
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await Promise.all(taskList.map(item => cc.addTask(task, [item])))
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addTask(fn) { return (...args) => { return new Promise((resolve) => { this.queue.push(new DelayedTask(resolve, fn, args)); if (this.size) { this.size--; const { resolve: taskResole, fn: taskFn, args: taskArgs } = this.queue.shift(); taskResole(this.runTask(taskFn, taskArgs)); } }) } }
改造之后的代码显得简洁了很多:
await Promise.all(taskList.map(cc.addTask(task)))
五、优化出队操作
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const Benchmark = require('benchmark'); const suite = new Benchmark.Suite; suite.add('shift', function() { let count = 10; const arr = generateArray(count); while (count--) { arr.shift(); } }) .add('reverse + pop', function() { let count = 10; const arr = generateArray(count); arr.reverse(); while (count--) { arr.pop(); } }) .on('cycle', function(event) { console.log(String(event.target)); }) .on('complete', function() { console.log('Fastest is ' + this.filter('fastest').map('name')); console.log('\n') }) .run({ async: true })
通过 benchmark.js 跑出的基准测试数据,可以很容易地看出哪种方式的效率更高:
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class HighPerformanceQueue { constructor() { this.q1 = []; // 用于 push 数据 this.q2 = []; // 用于 shift 数据 } push(value) { return this.q1.push(value); } shift() { let q2 = this.q2; if (q2.length === 0) { const q1 = this.q1; if (q1.length === 0) { return; } q2 = this.q2 = q1.reverse(); } return q2.pop(); } isEmpty() { if (this.q1.length === 0 && this.q2.length === 0) { return true; } return false; } }
最后通过基准测试来验证优化的效果:
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