Async/await makes it easy to integrate asynchronous behavior with imperative constructs like for loops, if statements, and try/catch blocks. Unfortunately, it doesn't do the same for functional constructs like forEach , map , reduce , and filter . Using these constructs with async functions leads to behavior that can seem downright baffling. In this article, I'll show you some common gotchas for async functions with JavaScript's built-in functional array methods and how to work around them.

Note: the below code is only tested on Node v7.6.0. Furthermore, the below code is only intended to be a thought experiment and a didactic example. I wouldn't recommend using it in production.

Motivation and forEach

In synchronous land, forEach() executes a function for each element of the array in order. For example, the below script is guaranteed to print 0-9:

function print ( n ) { console .log(n); } function test ( ) { [ 0 , 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ].forEach(print); } test();

Unfortunately, things get more subtle with async functions. The below script will print 0-9 in reverse order!

async function print ( n ) { await new Promise (resolve => setTimeout(() => resolve(), 1000 - n * 100 )); console .log(n); } async function test ( ) { [ 0 , 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ].forEach(print); } test();

Even though both functions are async, Node.js won't wait for the first print() call to finish before executing the next one! Can you just add an await ?

async function test ( ) { [ 0 , 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ].forEach(n => { await print(n); }); }

Nope, can't let you do that Starfox, that's a SyntaxError , because await must always be in an async function. At this point, you can just give up and use the non-standard Promise.series() function. But, if you remember that async functions are just functions that return promises, you can use promise chaining and .reduce() your way into getting an in-order forEach() .

async function print ( n ) { await new Promise (resolve => setTimeout(() => resolve(), 1000 - n * 100 )); console .log(n); } async function test ( ) { await [ 0 , 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ]. reduce((promise, n) => promise.then(() => print(n)), Promise .resolve()); } test();

You can also wrap this functionality into a handy forEachAsync() function:

async function print ( n ) { await new Promise (resolve => setTimeout(() => resolve(), 1000 - n * 100 )); console .log(n); } Array .prototype.forEachAsync = function ( fn ) { return this .reduce((promise, n) => promise.then(() => fn(n)), Promise .resolve()); }; async function test ( ) { await [ 0 , 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ].forEachAsync(print); } test();

Chaining with map() and filter()

One big advantage of JavaScript's functional array constructs is chaining. Suppose you're given an array of ids and you want to pull the documents that correspond to those ids, filter out the ones that are already in another database, and save all of those. You can do this without any functional primitives, but it will involve a lot of intermediate values.

const { MongoClient } = require ( 'mongodb' ); async function copy ( ids, db1, db2 ) { const fromDb1 = await db1.collection( 'Test' ).find({ _id: { $ in : ids } }).sort({ _id: 1 }).toArray(); const fromDb2 = await db2.collection( 'Test' ).find({ _id: { $ in : ids } }).sort({ _id: 1 }).toArray(); const toInsert = []; for ( const doc of fromDb1) { if (!fromDb2.find(_doc => _doc._id === doc._id)) { toInsert.push(doc); console .log( 'Insert' , doc); } } await db2.collection( 'Test' ).insertMany(toInsert); } async function test ( ) { const db1 = await MongoClient.connect( 'mongodb://localhost:27017/db1' ); const db2 = await MongoClient.connect( 'mongodb://localhost:27017/db2' ); await db1.dropDatabase(); await db2.dropDatabase(); const docs = [ { _id: 1 }, { _id: 2 }, { _id: 3 }, { _id: 4 } ]; await db1.collection( 'Test' ).insertMany(docs); await db2.collection( 'Test' ).insertMany(docs.filter(doc => doc._id % 2 === 0 )); await copy(docs.map(doc => doc._id), db1, db2); } test();

Functional would make this a lot cleaner - you'd just need ids.map().filter().forEach() , but each of those map() , filter() , and each() need to handle async functions. We already have forEachAsync() , implementing mapAsync() and filterAsync() is similar:

Array .prototype.mapAsync = function ( fn ) { return Promise .all( this .map(fn)); }; Array .prototype.filterAsync = function ( fn ) { return this .mapAsync(fn).then(_arr => this .filter((v, i) => !!_arr[i])); };

However, now we get to the problem of chaining. How do you chain together mapAsync() and filterAsync() ? You could use .then() but that would not be quite as neat. Instead, you can create an AsyncArray class that represents a Promise that will eventually return an array, and attach mapAsync , filterAsync , and forEachAsync as class methods:

class AsyncArray { constructor (promise) { this .$promise = promise || Promise .resolve(); } then(resolve, reject) { return new AsyncArray( this .$promise.then(resolve, reject)); } catch (reject) { return this .then( null , reject); } mapAsync(fn) { return this .then(arr => Promise .all(arr.map(fn))); } filterAsync(fn) { return new AsyncArray( Promise .all([ this , this .mapAsync(fn)]).then(([arr, _arr]) => arr.filter((v, i) => !!_arr[i]))); } forEachAsync(fn) { return this .then(arr => arr.reduce((promise, n) => promise.then(() => fn(n)), Promise .resolve())); } }

With this AsyncArray class, you chain mapAsync() , filterAsync() , and forEachAsync() since each of these helper methods returns an AsyncArray . Here's how it looks with the previous MongoDB example:

async function copy ( ids, db1, db2 ) { new AsyncArray( Promise .resolve(ids)). mapAsync( function ( _id ) { return db1.collection( 'Test' ).findOne({ _id }); }). filterAsync( async function ( doc ) { const _doc = await db2.collection( 'Test' ).findOne({ _id: doc._id }); return !_doc; }). forEachAsync( async function ( doc ) { console .log( 'Insert' , doc); await db2.collection( 'Test' ).insertOne(doc); }). catch (error => console .error(error)); } async function test ( ) { const db1 = await MongoClient.connect( 'mongodb://localhost:27017/db1' ); const db2 = await MongoClient.connect( 'mongodb://localhost:27017/db2' ); await db1.dropDatabase(); await db2.dropDatabase(); const docs = [ { _id: 1 }, { _id: 2 }, { _id: 3 }, { _id: 4 } ]; await db1.collection( 'Test' ).insertMany(docs); await db2.collection( 'Test' ).insertMany(docs.filter(doc => doc._id % 2 === 0 )); await copy(docs.map(doc => doc._id), db1, db2); } test();

Wrapping Up with reduce()

Now that you have mapAsync() , filterAsync() , and forEachAsync() , why not go all the way and implement reduceAsync() too?

reduceAsync(fn, initial) { return Promise .resolve(initial).then(cur => { return this .forEachAsync( async function ( v, i ) { cur = await fn(cur, v, i); }).then(() => cur); }); }

Here's how to use reduceAsync() :

async function test ( ) { const db = await MongoClient.connect( 'mongodb://localhost:27017/test' ); await db.dropDatabase(); const docs = [ { _id: 1 , name: 'Axl' }, { _id: 2 , name: 'Slash' }, { _id: 3 , name: 'Duff' }, { _id: 4 , name: 'Izzy' }, { _id: 5 , name: 'Adler' } ]; await db.collection( 'People' ).insertMany(docs); const ids = docs.map(doc => doc._id); const nameToId = await new AsyncArray( Promise .resolve(ids)). reduceAsync( async function ( cur, _id ) { const doc = await db.collection( 'People' ).findOne({ _id }); cur[doc.name] = doc._id; return cur; }, {}); console .log(nameToId); } test();

Overall, using async functions with map() , filter() , reduce() , and forEach() is possible, but requires custom functions and sophisticated promise chaining. I'm sure somebody will come out with a library that makes working with promise arrays seamless, and I look forward to seeing it. Functional programming primitives make synchronous array operations clean and elegant, and remove a lot of wasteful intermediary values via chaining. Adding helpers that can operate on promises that resolve to arrays opens up some exciting possibilities.

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