我不认为有任何库可以做到这一点，但实际上您自己实现起来相当简单：

function sequential(fn) { // limitConcurrency(fn, 1)
    let q = Promise.resolve();
    return function(x) {
        const p = q.then(() => fn(x));
        q = p.reflect();
        return p;
    };
}

对于多个并发请求，这会变得有点棘手，但也可以做到。

function limitConcurrency(fn, n) {
    if (n == 1) return sequential(fn); // optimisation
    let q = Promise.resolve();
    const active = new Set();
    const fst = t => t[0];
    const snd = t => t[1];
    return function(x) {
        function put() {
            const p = fn(x);
            const a = p.reflect().then(() => {
                active.delete(a);
            });
            active.add(a);
            return [Promise.race(active), p];
        }
        if (active.size < n) {
            const r = put()
            q = fst(t);
            return snd(t);
        } else {
            const r = q.then(put);
            q = r.then(fst);
            return r.then(snd)
        }
    };
}

顺便说一句，你可能想看看actors model和CSP。它们可以简化处理这类事情，也有一些JS库适合它们。

• • 示例**

import Promise from 'bluebird'

function sequential(fn) {
  var q = Promise.resolve();
  return (...args) => {
    const p = q.then(() => fn(...args))
    q = p.reflect()
    return p
  }
}

async function _delayPromise (seconds, str) {
  console.log(`${str} started`)
  await Promise.delay(seconds)
  console.log(`${str} ended`)
  return str
}

let delayPromise = sequential(_delayPromise)

async function a() {
  await delayPromise(100, "a:a")
  await delayPromise(200, "a:b")
  await delayPromise(300, "a:c")
}

async function b() {
  await delayPromise(400, "b:a")
  await delayPromise(500, "b:b")
  await delayPromise(600, "b:c")
}

a().then(() => console.log('done'))
b().then(() => console.log('done'))

// --> with sequential()

// $ babel-node test/t.js
// a:a started
// a:a ended
// b:a started
// b:a ended
// a:b started
// a:b ended
// b:b started
// b:b ended
// a:c started
// a:c ended
// b:c started
// done
// b:c ended
// done

// --> without calling sequential()

// $ babel-node test/t.js
// a:a started
// b:a started
// a:a ended
// a:b started
// a:b ended
// a:c started
// b:a ended
// b:b started
// a:c ended
// done
// b:b ended
// b:c started
// b:c ended
// done

使用限制承诺模块：
https://www.npmjs.com/package/throttled-promise

var ThrottledPromise = require('throttled-promise'),
    promises = [
        new ThrottledPromise(function(resolve, reject) { ... }),
        new ThrottledPromise(function(resolve, reject) { ... }),
        new ThrottledPromise(function(resolve, reject) { ... })
    ];

// Run promises, but only 2 parallel
ThrottledPromise.all(promises, 2)
.then( ... )
.catch( ... );

我也有同样的问题，我写了一个库来实现它，代码是here，我创建了一个队列来保存所有的承诺，当你把一些承诺推送到队列中时，队列头的前几个承诺会弹出并运行，一旦一个承诺完成，队列中的下一个承诺也会弹出并运行，一次又一次，直到队列中没有Task为止。详细信息可以查看代码。希望这个库对您有所帮助。

优点

• 您可以定义并发承诺的数量（接近并发请求）
• 一致流动：一旦一个承诺解决，另一个请求开始，无需猜测服务器的能力
• 强大的抗数据阻塞能力，如果服务器停止了一会儿，它将只是等待，并且不会因为时钟允许而启动后续任务
• 不要依赖第三方模块Vanila node.js

第一件事是让https成为一个承诺，所以我们可以使用wait来检索数据（从示例中删除）第二件事是创建一个承诺调度程序，在任何承诺得到解决时提交另一个请求。

通过限制并发承诺的数量来限制接受的请求

const https = require('https')

function httpRequest(method, path, body = null) {
  const reqOpt = { 
    method: method,
    path: path,
    hostname: 'dbase.ez-mn.net', 
    headers: {
      "Content-Type": "application/json",
      "Cache-Control": "no-cache"
    }
  }
  if (method == 'GET') reqOpt.path = path + '&max=20000'
  if (body) reqOpt.headers['Content-Length'] = Buffer.byteLength(body);
  return new Promise((resolve, reject) => {
  const clientRequest = https.request(reqOpt, incomingMessage => {
      let response = {
          statusCode: incomingMessage.statusCode,
          headers: incomingMessage.headers,
          body: []
      };
      let chunks = ""
      incomingMessage.on('data', chunk => { chunks += chunk; });
      incomingMessage.on('end', () => {
          if (chunks) {
              try {
                  response.body = JSON.parse(chunks);
              } catch (error) {
                  reject(error)
              }
          }
          console.log(response)
          resolve(response);
      });
  });
  clientRequest.on('error', error => { reject(error); });
  if (body) { clientRequest.write(body)  }  
  clientRequest.end();

  });
}

    const asyncLimit = (fn, n) => {
      const pendingPromises = new Set();

  return async function(...args) {
    while (pendingPromises.size >= n) {
      await Promise.race(pendingPromises);
    }

    const p = fn.apply(this, args);
    const r = p.catch(() => {});
    pendingPromises.add(r);
    await r;
    pendingPromises.delete(r);
    return p;
  };
};
// httpRequest is the function that we want to rate the amount of requests
// in this case, we set 8 requests running while not blocking other tasks (concurrency)

let ratedhttpRequest = asyncLimit(httpRequest, 8);

// this is our datase and caller    
let process = async () => {
  patchData=[
      {path: '/rest/slots/80973975078587', body:{score:3}},
      {path: '/rest/slots/809739750DFA95', body:{score:5}},
      {path: '/rest/slots/AE0973750DFA96', body:{score:5}}]

  for (let i = 0; i < patchData.length; i++) {
    ratedhttpRequest('PATCH', patchData[i].path,  patchData[i].body)
  }
  console.log('completed')
}

process()

串行运行异步进程的经典方法是使用async.js和async.series()，如果您更喜欢基于promise的代码，那么有一个promise版本的async.js：async-q
对于async-q，您可以再次使用series：

async.series([
    function(){return delayPromise(100, "a:a")},
    function(){return delayPromise(100, "a:b")},
    function(){return delayPromise(100, "a:c")}
])
.then(function(){
    console.log(done);
});

同时运行其中两个将同时运行a和b，但在每个内部它们将是顺序的：

// these two will run concurrently but each will run
// their array of functions sequentially:
async.series(a_array).then(()=>console.log('a done'));
async.series(b_array).then(()=>console.log('b done'));

如果您想在a之后运行b，请将其放入.then()：

async.series(a_array)
.then(()=>{
    console.log('a done');
    return async.series(b_array);
})
.then(()=>{
    console.log('b done');
});

如果您不想按顺序运行每个进程，而是想限制每个进程同时运行一定数量的进程，则可以使用parallelLimit()：

// Run two promises at a time:
async.parallelLimit(a_array,2)
.then(()=>console.log('done'));

阅读async-q文档：https://github.com/dbushong/async-q/blob/master/READJSME.md