Web框架性能对比-Node.js篇 01 Koa

Node.js 平台环境

• Node.js v16.15.1
• pnpm 7.12.2

数据库

• MySQL 8.x

框架/库

• Koa 2.13.4
• mysql2 2.3.3
• pino 8.6.0

说明

使用集群模式启动服务程序，进程数为CPU逻辑核心数量

Node.js 平台测试程序包含基本框架、数据库驱动库和日志库，数据源为数据库中的两个逻辑关联表，程序先查询表1最新的1000条数据，然后使用关联列id数组作为查询参数查询表2的数据，在程序中合并两个表的数据，最后返回给客户端。

数据库为远程线上数据库，为了与Go平台默认设置相同，数据库连接池的维持链接数量设置为0。

使用库外关联数据的原因为降低数据库参与程度，同时将测试结果用来对比在不同vm/编译器环境下各个web框架的综合性能。

创建koa工程

mkdir koa
cd koa

pnpm init

pnpm add koa @koa/router koa-bodyparser mysql2 pino pino-pretty

代码

mkdir src
cd src

// logger-pino.mjs
// 日志库设置
import pino from "pino";
import pretty from "pino-pretty";


export const logger = pino(
  pretty({
    colorize: true,
    translateTime: true,
  })
);

// storage-mysql.mjs
// mysql2设置
import mysql from "mysql2";


export const pool = mysql.createPool({
    host: process.env.DB_HOST || "localhost",
    port: process.env.DB_PORT || 3306,
    user: process.env.DB_USER || "root",
    password: process.env.DB_PASSWORD || "",
    database: process.env.DATABASE || "",
    waitForConnections: true,
    // connectionLimit: PROC * 2 + 1, // 默认10
    queueLimit: 0,
});
// 数据库连接参数从操作系统环境变量中读取，也可以使用dotenv库设置

// app.mjs
import Koa from "koa";
import bodyParser from "koa-bodyparser";
import Router from "@koa/router";
import { pool } from "./storage-mysql.mjs";

export const app = new Koa();

app.use(bodyParser({ jsonLimit: "16mb" }));

const router = new Router();

const endpointCv = async (ctx) => {
  const subscribers = await filterSubscribers();
  const ids = subscribers.map((s) => s.id);
  const cvs = await filterCvsByIds(ids.join(","));
  const list = cvs.map((c) => {
    const subscriber = subscribers.filter((s) => s["id"] === c["common_user_id"]);
    if (subscriber && subscriber.length > 0) {
      c["subscriber"] = subscriber[0];
    }
    return c;
  });
  ctx.response.body = list;
}

const filterSubscribers = async () => {
  const client = pool.promise();
  const q = `
  select id, uuid, name, email
  from billboard.common_user
  order by id desc
  limit 1000
  `;
  const [result] = await client.query(q);
  return result;
}

const filterCvsByIds = async (ids) => {
  const client = pool.promise();
  const q = `
  select id, uuid, common_user_id, status, name, school, major, education, date_end
  from billboard.resume
  where common_user_id in (${ids})
  `;
  const [result] = await client.query(q);
  return result;
}

(() => {
  router.get("/octo-api/cv", endpointCv);
})();

app.use(router.routes());
app.use(router.allowedMethods());

// server.mjs
import cluster, { isMaster } from "cluster";
import http from "http";
import { logger } from "./logger-pino.mjs";


const port = parseInt(process.env.PORT, 10) || 8421;


if (isMaster) {
  logger.info(`主进程 PID:${process.pid}`);


  for (let i = 0; i < parseInt(process.env.PROC || 1, 10); i += 1) {
    cluster.fork();
  }


  cluster.on("online", (worker) => {
    logger.info(`子进程 PID:${worker.process.pid}, 端口:${port}`);
  });


  cluster.on("exit", (worker, code, signal) => {
    logger.error(`子进程 PID:${worker.process.pid}终止，错误代码:${code}，信号:${signal}`);
    logger.info(`由主进程(PID:${process.pid})创建新的子进程`);
    cluster.fork();
  });
} else {
  import("./app.mjs").then(({ app }) => {
    http.createServer(app.callback()).listen(port);
  });
}

// package.json
{
  "scripts": {
    "dev": "node src/server.mjs"
  }
}

启动程序

pnpm run dev

代码过程视频

视频