2017年更新:如果环境支持，我会使用异步函数:

async function readFiles(files) {
  for(const file of files) {
    await readFile(file);
  }
};

如果你愿意，你可以延迟读取文件，直到你需要使用异步生成器(如果你的环境支持它):

async function* readFiles(files) {
  for(const file of files) {
    yield await readFile(file);
  }
};

更新:在第二个想法-我可能会用一个for循环代替:

var readFiles = function(files) {
  var p = Promise.resolve(); // Q() in q

  files.forEach(file =>
      p = p.then(() => readFile(file)); 
  );
  return p;
};

或者更确切地说，用reduce:

var readFiles = function(files) {
  return files.reduce((p, file) => {
     return p.then(() => readFile(file));
  }, Promise.resolve()); // initial
};

在其他承诺库(如when和Bluebird)中，您有用于此的实用程序方法。

例如，蓝鸟将是:

var Promise = require("bluebird");
var fs = Promise.promisifyAll(require("fs"));

var readAll = Promise.resolve(files).map(fs.readFileAsync,{concurrency: 1 });
// if the order matters, you can use Promise.each instead and omit concurrency param

readAll.then(function(allFileContents){
    // do stuff to read files.
});

尽管现在没有理由不使用async await。

只需使用.then(resPrevTask => nextTask())

(顺便说一下，下一个代码需要4秒。)

函数task1() { return new Promise((resolve) => { setTimeout(() => { 解决(console.log(任务1)) }, 3000) }） ｝ 函数task2() { return new Promise((resolve) => { setTimeout(() => { 解决(console.log(任务2)) }, 1000) }） ｝ 函数seqTasks () { task1 () .then(() => task2()) ｝ seqTasks ();

我真的很喜欢@joelnet的回答，但对我来说，这种编码风格有点难以消化，所以我花了几天时间试图弄清楚如何以更可读的方式表达相同的解决方案，这就是我的想法，只是使用了不同的语法和一些注释。

// first take your work
const urls = ['/url1', '/url2', '/url3', '/url4']

// next convert each item to a function that returns a promise
const functions = urls.map((url) => {
  // For every url we return a new function
  return () => {
    return new Promise((resolve) => {
      // random wait in milliseconds
      const randomWait = parseInt((Math.random() * 1000),10)
      console.log('waiting to resolve in ms', randomWait)
      setTimeout(()=>resolve({randomWait, url}),randomWait)
    })
  }
})


const promiseReduce = (acc, next) => {
  // we wait for the accumulator to resolve it's promise
  return acc.then((accResult) => {
    // and then we return a new promise that will become
    // the new value for the accumulator
    return next().then((nextResult) => {
      // that eventually will resolve to a new array containing
      // the value of the two promises
      return accResult.concat(nextResult)
    })
  })
};
// the accumulator will always be a promise that resolves to an array
const accumulator = Promise.resolve([])

// we call reduce with the reduce function and the accumulator initial value
functions.reduce(promiseReduce, accumulator)
  .then((result) => {
    // let's display the final value here
    console.log('=== The final result ===')
    console.log(result)
  })

如果其他人在执行CRUD操作时需要一种有保证的严格顺序的方法来解析promise，您也可以使用以下代码作为基础。

只要你在调用每个函数之前添加'return'，描述一个Promise，并使用这个例子作为基础，下一个.then()函数调用将在前一个函数完成后consistent启动:

getRidOfOlderShoutsPromise = () => {
    return readShoutsPromise('BEFORE')
    .then(() => {
        return deleteOlderShoutsPromise();
    })
    .then(() => {
        return readShoutsPromise('AFTER')
    })
    .catch(err => console.log(err.message));
}

deleteOlderShoutsPromise = () => {
    return new Promise ( (resolve, reject) => {
        console.log("in deleteOlderShouts");
        let d = new Date();
        let TwoMinuteAgo = d - 1000 * 90 ;
        All_Shouts.deleteMany({ dateTime: {$lt: TwoMinuteAgo}}, function(err) {
            if (err) reject();
            console.log("DELETED OLDs at "+d);
            resolve();        
        });
    });
}

readShoutsPromise = (tex) => {
    return new Promise( (resolve, reject) => {
        console.log("in readShoutsPromise -"+tex);
        All_Shouts
        .find({})
        .sort([['dateTime', 'ascending']])
        .exec(function (err, data){
            if (err) reject();
            let d = new Date();
            console.log("shouts "+tex+" delete PROMISE = "+data.length +"; date ="+d);
            resolve(data);
        });    
    });
}

有一个npm包Promise Serial可以很好地做到这一点:

const Promise_serial = require('promise-serial');

 const promises =
    Array(15).fill()
    .map((_, i) =>
        () => new Promise(resolve => {
            console.log('promise '+i+' start');
            setTimeout(
                () => {
                    console.log('promise '+i+' end');
                    resolve('output-'+i);
                },
                500
            );
        })
    );


console.log('### Run promises in sequence')

Promise_serial(promises)

输出:

promise 0 start
promise 0 end
promise 1 start
promise 1 end
promise 2 start
promise 2 end
promise 3 start
promise 3 end
promise 4 start
promise 4 end
promise 5 start
promise 5 end
promise 6 start
promise 6 end
promise 7 start
promise 7 end

... etc

您还可以批处理或并行化它们。

参见:https://www.npmjs.com/package/promise-serial

下面是我比较喜欢的连续运行任务的方式。

function runSerial() {
    var that = this;
    // task1 is a function that returns a promise (and immediately starts executing)
    // task2 is a function that returns a promise (and immediately starts executing)
    return Promise.resolve()
        .then(function() {
            return that.task1();
        })
        .then(function() {
            return that.task2();
        })
        .then(function() {
            console.log(" ---- done ----");
        });
}

有更多任务的情况会怎样呢?10 ?

function runSerial(tasks) {
  var result = Promise.resolve();
  tasks.forEach(task => {
    result = result.then(() => task());
  });
  return result;
}