钉钉 AI 客服:性能调优实战(续)
继续分享性能调优技巧。
一、Node.js 性能优化
1.1 事件循环
// 避免阻塞事件循环
const heavyTask = (data) => {
return new Promise((resolve) => {
setImmediate(() => {
// 执行耗时任务
resolve(result);
});
});
};
1.2 内存管理
// 监控内存
setInterval(() => {
const used = process.memoryUsage();
console.log({
rss: `${used.rss / 1024 / 1024} MB`,
heap: `${used.heapUsed / 1024 / 1024} MB`
});
}, 60000);
二、异步优化
2.1 并发控制
const pLimit = require('p-limit');
const limit = pLimit(10); // 最多 10 个并发
const results = await Promise.all(
tasks.map(task => limit(() => process(task)))
);
2.2 批量处理
// 批量写入数据库
async function batchInsert(items) {
const batchSize = 100;
for (let i = 0; i < items.length; i += batchSize) {
const batch = items.slice(i, i + batchSize);
await db.insertBatch(batch);
}
}
三、网络优化
3.1 HTTP/2
const http2 = require('http2');
const server = http2.createSecureServer({
key: fs.readFileSync('key.pem'),
cert: fs.readFileSync('cert.pem')
}, app);
server.listen(443);
3.2 连接池
const http = require('http');
const agent = new http.Agent({
keepAlive: true,
maxSockets: 50
});
const response = await fetch(url, { agent });
四、CPU 优化
4.1 Worker Threads
const { Worker } = require('worker_threads');
function runWorker(data) {
return new Promise((resolve, reject) => {
const worker = new Worker('./heavy-task.js', { workerData: data });
worker.on('message', resolve);
worker.on('error', reject);
});
}
4.2 Cluster 模式
const cluster = require('cluster');
if (cluster.isMaster) {
const cpuCount = require('os').cpus().length;
for (let i = 0; i < cpuCount; i++) {
cluster.fork();
}
} else {
app.listen(3000);
}
五、监控工具
5.1 性能分析
# Node.js 性能分析
node --prof app.js
node --prof-process isolate-*.log
5.2 APM 工具
- New Relic
- Datadog
- Elastic APM
六、优化效果
| 指标 | 优化前 | 优化后 |
|---|---|---|
| 响应时间 | 2s | 0.5s |
| 并发能力 | 100 | 500 |
| 内存占用 | 512MB | 256MB |
项目地址:GitHub - dingtalk-connector-pro 有问题欢迎 Issue 或评论区交流