fastcar-workerpool v0.0.2

工作线程包装

快速安装

npm install fastcar-workerpool

使用场景

针对于cpu密集型的操作进行批量计算时提高对cpu的利用率

使用示例

import {WorkerPool} from "fastcar-workerpool";

const total = 10000; //计算阶乘一直到一万次

//求阶乘的方法
function factorial(num: number): number {
 if (num <= 2) {
  return num;
 }

 return num * factorial(num - 1);
}

let scripts = require.resolve("./WorkerScripts");

describe("工作线程池-阶乘测试", () => {
    
    it("多线程耗时动态传递函数测试", () => {
    let workerPool = new WorkerPool(4);
    let finshed = 0;
    let startTime = Date.now();
    for (let i = 0; i < total; i++) {
        workerPool.runTask({
            task: factorial,
            args: [i],
            cb: (err: Error, res: number) => {
            finshed++;
            if (finshed == total) {
            console.log("任务完成耗时：", Date.now() - startTime);
            queueMicrotask(() => {
            workerPool.close();
            });
            }
            },
        });
     }
    });

    it("多线程初始化脚本测试", () => {
    let workerPool = new WorkerPool(4, "", {
    scripts: [factorial.toString()],
    });
    let finshed = 0;
    let startTime = Date.now();
    for (let i = 0; i < total; i++) {
        workerPool.runTask({
            args: [i],
            cb: (err: Error, res: number) => {
            finshed++;
            if (finshed == total) {
            console.log("任务完成耗时：", Date.now() - startTime);
            queueMicrotask(() => {
            workerPool.close();
            });
            }
            },
        });
     }
    });

    it("多线程自定义脚本测试", () => {
    let workerPool = new WorkerPool(4, scripts);
    let finshed = 0;
    let startTime = Date.now();
    for (let i = 0; i < total; i++) {
        workerPool.runTask({
            args: [i],
            cb: (err: Error, res: number) => {
            finshed++;
            if (finshed == total) {
                console.log("任务完成耗时：", Date.now() - startTime);
                queueMicrotask(() => {
                workerPool.close();
                });
             }
            },
        });
        }
    });
});