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具有多个请求的Express.js(Node.js)中的ECONNRESET

[英]ECONNRESET in Express.js (Node.js) with multiple requests

Given a standard Express.js setup 给定标准的Express.js设置

const express = require('express');
const app = express();
const router = express.Router();

router.get('/test/:id', (req, res) => {
  return res.status(200).json({ hello: 'world' });
});

app.use('/api', router);

app.listen(3000, () => console.info('Up on port 3000));

I am making 1000 requests agains the endpoint, one after the other: 我在端点上再次发出1000个请求,一个接一个:

const fetch = require('node-fetch');
for (let i = 0; i < 1000; i++) {
  let id = Math.floor(Math.random() * 12) + 1;
  fetch(`http://localhost:3000/api/test/${id}`).then(res => res.json()).then(data => console.log(data)).catch(error => console.error(error));
}

I do see the data returned however, every now and then I see an ECONNRESET error. 我确实看到了返回的数据,但我ECONNRESET看到一个ECONNRESET错误。 The amount of ECONNRESET error messages also vary: sometimes I get a few, sometimes a lot more. ECONNRESET错误消息的数量也各不相同:有时我得到一些,有时甚至更多。 I do understand the message but I can't get my head around solving the issue behind it. 我确实理解了这个消息,但我无法解决它背后的问题。

Here's a sample error: 这是一个示例错误:

{ FetchError: request to http://localhost:3000/api/test/8 failed, reason: connect ECONNRESET 127.0.0.1:3000
    at ClientRequest.<anonymous> (node_modules/node-fetch/lib/index.js:1345:11)
    at ClientRequest.emit (events.js:182:13)
    at Socket.socketErrorListener (_http_client.js:399:9)
    at Socket.emit (events.js:182:13)
    at emitErrorNT (internal/streams/destroy.js:82:8)
    at emitErrorAndCloseNT (internal/streams/destroy.js:50:3)
    at process.internalTickCallback (internal/process/next_tick.js:72:19)
  message:
   'request to http://localhost:3000/api/departments/8 failed, reason: connect ECONNRESET 127.0.0.1:3000',
  type: 'system',
  errno: 'ECONNRESET',
  code: 'ECONNRESET' }

Note that I have tried to make the request using axios, the built-in HTTP module all to avail. 请注意,我已尝试使用axios发出请求,内置的HTTP模块都可用。 I'm sure the issue is with my Express app handling the request but not sure how to fix it exactly. 我确定问题出在我的Express应用程序处理请求但不确定如何正确修复它。

Update 1: 更新1:

As per the suggestion in the comment, here's the async version: 根据评论中的建议,这里是异步版本:

async function f() {
  const array = Array.from(Array(1000).keys());
  for (const el of array) {
    try {
      let id = Math.floor(Math.random() * 12) + 1;
      const result = await fetch(`http://localhost:3000/api/test/${id}`).then(res => res.json());
      console.log(result);
      return result;
    } catch(e) {
      console.log(e);
    }
  }
}

f();

Now I am receiving occasional ECONNREFUSED messages. 现在我偶尔会收到ECONNREFUSED消息。

Update 2: 更新2:

Based on Mazki516's answer here's the solution that works: 根据Mazki516的答案,这里的解决方案有效:

// previous require statements
const cluster = require('cluster');
const os = require('os');

if (cluster.isMaster) {
  const cpuCount = os.cpus().length
  for (let i = 0; i < cpuCount; i++) {
      cluster.fork()
  }
} else {
  const app = express();
  // rest of the route definitions
  // also app.listen() etc...
}
cluster.on('exit', worker => {
  console.log(`${worker.id} removed`);
  cluster.fork();
});

One of the reasons you see this is because you make the calls in "parallel" . 您看到这一点的原因之一是因为您以“并行”方式进行调用。 You do start the calls one after the other , but the loops will end probably before the first results returned from the server. 你一个接一个地启动调用,但循环可能会在服务器返回的第一个结果之前结束。 The loop continues until the end , making the call stack filled with 1000 async requests to the server . 循环一直持续到结束,使调用堆栈充满了1000个异步请求到服务器。

Your'e are hitting hardware/software limits and nothing is wrong with the code. 你的硬件/软件限制达到了极限,代码没有任何问题。 if you did want to build a server which can handle 1k (and much more) requests concurrently I would take a look into the "cluster" module of node . 如果您确实想要构建一个可以同时处理1k(以及更多)请求的服务器,我将查看节点的“集群”模块。

Please notice that when doing network job between server , it's acceptable to use a concurrency limit . 请注意,在服务器之间执行网络作业时,可以使用并发限制。 (for example: up to 4 requests concurrently) (例如:最多同时发出4个请求)

but you can always scale your server beyond one machine and handle much more traffic . 但是您可以随时将服务器扩展到一台计算机之外并处理更多流量。

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