How to escape from the async/await hell

Published on 6 Apr 2018
10 mins read

async/await freed us from callback hell, but people have started abusing it — leading to the birth of async/await hell.

Nesting awaits one after other

Link to this headingWhat is async/await hell

While working with Asynchronous JavaScript, people often write multiple statements one after the other and slap an await before a function call. This causes performance issues, as many times one statement doesn’t depend on the previous one — but you still have to wait for the previous one to complete.

Link to this headingAn example of async/await hell

Consider if you wrote a script to order a pizza and a drink. The script might look like this:

(async () => {
const pizzaData = await getPizzaData() // async call
const drinkData = await getDrinkData() // async call
const chosenPizza = choosePizza() // sync call
const chosenDrink = chooseDrink() // sync call
await addPizzaToCart(chosenPizza) // async call
await addDrinkToCart(chosenDrink) // async call
orderItems() // async call
})()
Naive implementation to order food

On the surface it looks correct, and it does work. But this is not a good implementation, because it leaves concurrency out of the picture. Let’s understand what its doing so that we can nail down the issue.

Link to this headingExplanation

We have wrapped our code in an async IIFE. The following occurs in this exact order:

  1. Get the list of pizzas.
  2. Get the list of drinks.
  3. Choose one pizza from the list.
  4. Choose one drink from the list.
  5. Add the chosen pizza to the cart.
  6. Add the chosen drink to the cart.
  7. Order the items in the cart.

Link to this headingSo what’s wrong ?

As I stressed earlier, all these statements execute one by one. There is no concurrency here. Think carefully: why are we waiting to get the list of pizzas before trying to get the list of drinks? We should just try to get both the lists together. However when we need to choose a pizza, we do need to have the list of pizzas beforehand. The same goes for the drinks.

So we can conclude that the pizza related work and drink related work can happen in parallel, but the individual steps involved in pizza related work need to happen sequentially (one by one).

Link to this headingAnother example of bad implementation

This JavaScript snippet will get the items in the cart and place a request to order them.

async function orderItems() {
const items = await getCartItems() // async call
const noOfItems = items.length
for(var i = 0; i < noOfItems; i++) {
await sendRequest(items[i]) // async call
}
}
Bad Implementation

In this case, the for loop has to wait for the sendRequest() function to complete before continuing the next iteration. However, we don’t actually need to wait. We want to send all the requests as quickly as possible and then we can wait for all of them to complete.

I hope that now you are getting closer to understanding what is async/await hell and how severely it affects the performance of your program. Now I want to ask you a question.

Link to this headingWhat if we forget the await keyword ?

If you forget to use await while calling an async function, the function starts executing. This means that await is not required for executing the function. The async function will return a promise, which you can use later.

(async () => {
const value = doSomeAsyncTask()
console.log(value) // an unresolved promise
})()
Without await we get unresolved promise

Another consequence is that the compiler won’t know that you want to wait for the function to execute completely. Thus the compiler will exit the program without finishing the async task. So we do need the await keyword.

(async () => {
const promise = doSomeAsyncTask()
const value = await promise
console.log(value) // the actual value
})()
We can await separately

One interesting property of promises is that you can get a promise in one line and wait for it to resolve in another. This is the key to escaping async/await hell.

As you can see, doSomeAsyncTask() is returning a promise. At this point doSomeAsyncTask() has started its execution. To get the resolved value of the promise, we use the await keyword and that will tell JavaScript to not execute the next line immediately, but instead wait for the promise to resolve and then execute the next line.

Link to this headingHow to get out of async/await hell ?

You should follow these steps to escape async/await hell.

Link to this headingFind statements which depend on the execution of other statements

In our first example, we were selecting a pizza and a drink. We concluded that, before choosing a pizza, we need to have the list of pizzas. And before adding the pizza to the cart, we’d need to choose a pizza. So we can say that these three steps depend on each other. We cannot do one thing until we have finished the previous thing.

But if we look at it more broadly, we find that selecting a pizza doesn’t depend on selecting a drink, so we can select them in parallel. That is one thing that machines can do better than we can.

Thus we have discovered some statements which depend on the execution of other statements and some which do not.

Link to this headingGroup-dependent statements in async functions

As we saw, selecting pizza involves dependent statements like getting the list of pizzas, choosing one, and then adding the chosen pizza to the cart. We should group these statements in an async function. This way we get two async functions, selectPizza() and selectDrink() .

Link to this headingExecute these async functions concurrently

We then take advantage of the event loop to run these async non blocking functions concurrently. Two common patterns of doing this is returning promises early and the Promise.all method.

Link to this headingLet’s fix the examples

Following the three steps, let’s apply them on our examples.

async function selectPizza() {
const pizzaData = await getPizzaData() // async call
const chosenPizza = choosePizza() // sync call
await addPizzaToCart(chosenPizza) // async call
}
async function selectDrink() {
const drinkData = await getDrinkData() // async call
const chosenDrink = chooseDrink() // sync call
await addDrinkToCart(chosenDrink) // async call
}
(async () => {
const pizzaPromise = selectPizza()
const drinkPromise = selectDrink()
await pizzaPromise
await drinkPromise
orderItems() // async call
})()
// Although I prefer it this way
Promise.all([
selectPizza(),
selectDrink(),
]).then(orderItems) // async call
Group functions & execute in parallel

Now we have grouped the statements into two functions. Inside the function, each statement depends on the execution of the previous one. Then we concurrently execute both the functions selectPizza() and selectDrink().

In the second example, we need to deal with an unknown number of promises. Dealing with this situation is super easy: we just create an array and push the promises in it. Then using Promise.all() we concurrently wait for all the promises to resolve.

async function orderItems() {
const items = await getCartItems() // async call
const noOfItems = items.length
const promises = []
for(var i = 0; i < noOfItems; i++) {
const orderPromise = sendRequest(items[i]) // async call
promises.push(orderPromise)
}
await Promise.all(promises) // async call
}
// Although I prefer it this way
async function orderItems() {
const items = await getCartItems() // async call
const promises = items.map((item) => sendRequest(item))
await Promise.all(promises) // async call
}
Promise.all to resolve array of promises

I hope this article helped you see beyond the basics of async/await, and also helped you improve the performance of your application.

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  • LocationBengaluru, India