使用Async/Await(如果你有ES7的支持)

function downloadFile(fileUrl) { ... } // This function return a Promise

async function main()
{
  var filesList = [...];

  for (const file of filesList) {
    await downloadFile(file);
  }
}

(你必须使用for循环，而不是forEach，因为async/await在forEach循环中运行有问题)

没有Async/Await(使用Promise)

function downloadFile(fileUrl) { ... } // This function return a Promise

function downloadRecursion(filesList, index)
{
  index = index || 0;
  if (index < filesList.length)
  {
    downloadFile(filesList[index]).then(function()
    {
      index++;
      downloadRecursion(filesList, index); // self invocation - recursion!
    });
  }
  else
  {
    return Promise.resolve();
  }
}

function main()
{
  var filesList = [...];
  downloadRecursion(filesList);
}

我不得不运行大量的顺序任务，并使用这些答案来伪造一个函数，将照顾处理任何顺序任务…

function one_by_one(objects_array, iterator, callback) {
    var start_promise = objects_array.reduce(function (prom, object) {
        return prom.then(function () {
            return iterator(object);
        });
    }, Promise.resolve()); // initial
    if(callback){
        start_promise.then(callback);
    }else{
        return start_promise;
    }
}

该函数接受2个参数+ 1个可选参数。第一个参数是我们将要处理的数组。第二个参数是任务本身，一个返回承诺的函数，只有当这个承诺解决时，下一个任务才会开始。第三个参数是在所有任务完成后运行的回调。如果没有传递回调，则函数返回它创建的promise，以便我们可以处理结束。

下面是一个用法示例:

var filenames = ['1.jpg','2.jpg','3.jpg'];
var resize_task = function(filename){
    //return promise of async resizing with filename
};
one_by_one(filenames,resize_task );

希望它能节省一些时间…

你可以使用这个函数来获取promiseFactories List:

function executeSequentially(promiseFactories) {
    var result = Promise.resolve();
    promiseFactories.forEach(function (promiseFactory) {
        result = result.then(promiseFactory);
    });
    return result;
}

Promise Factory是一个简单的函数，返回一个Promise:

function myPromiseFactory() {
    return somethingThatCreatesAPromise();
}

它之所以有效，是因为承诺工厂直到被要求才创建承诺。它的工作方式与then函数相同——事实上，它是一样的!

你根本不想在一组承诺上操作。根据Promise规范，一旦创建了Promise，它就开始执行。所以你真正想要的是一系列的承诺工厂…

如果你想了解更多的承诺，你应该检查这个链接: https://pouchdb.com/2015/05/18/we-have-a-problem-with-promises.html

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)
  })

使用ES2016的async/await(可能还有ES2018的一些特性)，这可以简化为这样的形式:

function readFile(file) {
  ... // Returns a promise.
}

async function readFiles(files) {
  for (file in files) {
     await readFile(file)
  }
}

I haven't seen another answer express that simplicity. The OP said parallel execution of readFile was not desired. However, with IO like this it really makes sense to not be blocking on a single file read, while keeping the loop execution synchronous (you don't want to do the next step until all files have been read). Since I just learned about this and am a bit excited about it, I'll share that approach of parallel asynchronous execution of readFile with overall synchronous execution of readFiles.

async function readFiles(files) {
  await Promise.all(files.map(readFile))
}

这难道不是一件美好的事情吗?

另外的例子

const addTwo = async () => 2; const addThree = async (inValue) => new Promise((resolve) => setTimeout(resolve(inValue + 3), 2000)); const addFour = (inValue) => new Promise((res) => setTimeout(res(inValue + 4), 1000)); const addFive = async (inValue) => inValue + 5; // Function which handles promises from above async function sequenceAddition() { let sum = await [addTwo, addThree, addFour, addFive].reduce( (promise, currPromise) => promise.then((val) => currPromise(val)), Promise.resolve() ); console.log('sum:', sum); // 2 + 3 + 4 + 5 = 14 } // Run function. See console for result. sequenceAddition();

使用reduce()的通用语法

function sequence(tasks, fn) {
    return tasks.reduce((promise, task) => promise.then(() => fn(task)), Promise.resolve());
}

更新

items-promise是一个准备使用NPM包做同样的事情。