If you're here in 2024 (or later), here's an updated video:
Ever had to deal with JS code that just... didn't run the way you expected it to? Maybe it seemed like functions got executed at random, unpredictable times, or the execution got delayed. There's a chance you were dealing with a cool new feature that ES6 introduced: Promises!
My curiosity from many years ago has paid off and my sleepless nights have once again given me the time to make some animations. Time to talk about Promises: why would you use them, how do they work "under the hood", and how can we write them in the most modern way?
If you haven't read my previous post on the JavaScript Event Loop yet, it may be useful to read that first! I'll be covering the event loop again assuming some basic knowledge about the call stack, Web API and the queue, but this time we'll also be covering some exciting extra features 🤩
If you're already somewhat familiar with promises, here are some shortcuts to save you some precious scrolling time.
Introduction
When writing JavaScript, we often have to deal with tasks that rely on other tasks! Let's say that we want to get an image, compress it, apply a filter, and save it 📸
The very first thing we need to do, is get the image that we want to edit. A getImage
function can take care of this! Only once that image has been loaded successfully, we can pass that value to a resizeImage
function. When the image has been resized successfully, we want to apply a filter to the image in the applyFilter
function. After the image has been compressed and we've added a filter, we want to save the image and let the user know that everything worked correctly! 🥳
In the end, we'll end up with something like this:
Hmm... Notice anything here? Although it's... fine, it's not great. We end up with many nested callback functions that are dependent on the previous callback function. This is often referred to as a callback hell, as we end up with tons of nested callback functions that make the code quite difficult to read!
Luckily, we now got something called promises to help us out! Let's take a look at what promises are, and how they can help us in situations like these! 😃
Promise Syntax
ES6 introduced Promises. In many tutorials, you'll read something like:
"A promise is a placeholder for a value that can either resolve or reject at some time in the future"
Yeah... That explanation never made things clearer for me. In fact it only made me feel like a Promise was a weird, vague, unpredictable piece of magic. So let's look at what promises really are.
We can create a promise, using a Promise
constructor that receives a callback. Okay cool, let's try it out!
Wait woah, what just got returned?
A Promise
is an object that contains a status, ([[PromiseStatus]]
) and a value ([[PromiseValue]]
). In the above example, you can see that the value of [[PromiseStatus]]
is "pending"
, and the value of the promise is undefined
.
Don't worry - you'll never have to interact with this object, you can't even access the [[PromiseStatus]]
and [[PromiseValue]]
properties! However, the values of these properties are important when working with promises.
The value of the PromiseStatus
, the state, can be one of three values:
- ✅
fulfilled
: The promise has beenresolved
. Everything went fine, no errors occurred within the promise 🥳 - ❌
rejected
: The promise has beenrejected
. Argh, something went wrong.. - ⏳
pending
: The promise has neither resolved nor rejected (yet), the promise is stillpending
.
Alright this all sounds great, but when is a promise status "pending"
, "fulfilled"
or "rejected"
? And why does that status even matter?
In the above example, we just passed the simple callback function () => {}
to the Promise
constructor. However, this callback function actually receives two arguments. The value of the first argument, often called resolve
or res
, is the method to be called when the Promise should resolve. The value of the second argument, often called reject
or rej
, is the value method to be called when the Promise should reject, something went wrong.
Let's try and see that gets logged when we invoke either the resolve
or reject
method! In my example, I called the resolve
method res
, and the reject
method rej
.
Awesome! We finally know how to get rid of the "pending"
status and the undefined
value! The status of a promise is "fulfilled"
if we invoked the resolve
method, and the status of the promise is "rejected
" if we invoked the rejected
method.
The value of a promise, the value of [[PromiseValue]]
, is the value that we pass to the either the resolved
or rejected
method as their argument.
Fun fact, I let Jake Archibald proofread this article and he actually pointed out there's a bug in Chrome that currently shows the status as
"resolved"
instead of"fulfilled"
. Thanks to Mathias Bynens it's now fixed in Canary! 🥳🕺🏼
Okay so, now we know a little bit better how to control that vague Promise
object. But what is it used for?
In the introductory section, I showed an example in which we get an image, compress it, apply a filer, and save it! Eventually, this ended up being a nested callback mess.
Luckily, Promises can help us fix this! First, let's rewrite the entire code block, so that each function returns a Promise
instead.
If the image is loaded and everything went fine, let's resolve the promise with the loaded image! Else, if there was an error somewhere while loading the file, let's reject the promise with the error that occurred.
Let's see what happens when we run this in the terminal!
Cool! A promise got returned with the value of the parsed data, just like we expected.
But... what now? We don't care about that entire promise object, we only care about the value of the data! Luckily, there are built-in methods to get a promise's value. To a promise, we can attach 3 methods:
-
.then()
: Gets called after a promise resolved. -
.catch()
: Gets called after a promise rejected. -
.finally()
: Always gets called, whether the promise resolved or rejected.
The .then
method receives the value passed to the resolve
method.
The .catch
method receives the value passed to the rejected
method
Finally, we have the value that got resolved by the promise without having that entire promise object! We can now do whatever we want with this value.
FYI, when you know that a promise will always resolve or always reject, you can write Promise.resolve
or Promise.reject
, with the value you want to reject or resolve the promise with!
You'll often see this syntax in the following examples 😄
In the getImage
example, we ended up having to nest multiple callbacks in order to run them. Luckily, the .then
handlers can help us with that! 🥳
The result of the .then
itself is a promise value. This means that we can chain as many .then
s as we want: the result of the previous then
callback will be passed as an argument to the next then
callback!
In the case of the getImage
example, we can chain multiple then
callbacks in order to pass the processed image onto the next function! Instead of ending up with many nested callbacks, we get a clean then
chain.
Perfect! This syntax already looks way better than the nested callbacks.
Microtasks and (Macro)tasks
Okay so we know a little better how to create a promise and how to extract values out of a promise. Let's add some more code to the script, and run it again:
Wait what?! 🤯
First, Start!
got logged. Okay we could've seen that one coming: console.log('Start!')
is on the very first line! However, the second value that got logged was End!
, and not the value of the resolved promise! Only after End!
was logged, the value of the promise got logged. What's going on here?
We've finally seen the true power of promises! 🚀 Although JavaScript is single-threaded, we can add asynchronous behavior using a Promise
!
But wait, haven't we seen that before? 🤔 In the JavaScript event loop, can't we also use methods native to the browser such as setTimeout
to create some sort of asynchronous behavior?
Yes! However, within the Event Loop, there are actually two types of queues: the (macro)task queue (or just called the task queue), and the microtask queue. The (macro)task queue is for (macro)tasks and the microtask queue is for microtasks.
So what's a (macro)task and what's a microtask? Although there are a few more than I'll cover here, the most common are shown in the table below!
(Macro)task |
setTimeout | setInterval | setImmediate
|
Microtask |
process.nextTick | Promise callback | queueMicrotask
|
Ahh, we see Promise
in the microtask list! 😃 When a Promise
resolves and calls its then()
, catch()
or finally()
, method, the callback within the method gets added to the microtask queue! This means that the callback within the then()
, catch()
or finally()
method isn't executed immediately, essentially adding some async behavior to our JavaScript code!
So when is a then()
, catch()
or finally()
callback executed? The event loop gives a different priority to the tasks:
- All functions in that are currently in the call stack get executed. When they returned a value, they get popped off the stack.
- When the call stack is empty, all queued up microtasks are popped onto the callstack one by one, and get executed! (Microtasks themselves can also return new microtasks, effectively creating an infinite microtask loop 😬)
- If both the call stack and microtask queue are empty, the event loop checks if there are tasks left on the (macro)task queue. The tasks get popped onto the callstack, executed, and popped off!
Let's take a look at a quick example, simply using:
-
Task1
: a function that's added to the call stack immediately, for example by invoking it instantly in our code. -
Task2
,Task3
,Task4
: microtasks, for example a promisethen
callback, or a task added withqueueMicrotask
. -
Task5
,Task6
: a (macro)task, for example asetTimeout
orsetImmediate
callback
First, Task1
returned a value and got popped off the call stack. Then, the engine checked for tasks queued in the microtask queue. Once all the tasks were put on the call stack and eventually popped off, the engine checked for tasks on the (macro)task queue, which got popped onto the call stack, and popped off when they returned a value.
Okay okay enough pink boxes. Let's use it with some real code!
In this code, we have the macro task setTimeout
, and the microtask promise then()
callback. Once the engine reaches the line of the setTimeout
function. Let's run this code step-by-step, and see what gets logged!
Quick FYI - in the following examples I'm showing methods like
console.log
,setTimeout
andPromise.resolve
being added to the call stack. They're internal methods and actually don't appear in stack traces - so don't worry if you're using the debugger and you don't see them anywhere! It just makes explaining this concept easier without adding a bunch of boilerplate code 🙂
On the first line, the engine encounters the console.log()
method. It gets added to the call stack, after which it logs the value Start!
to the console. The method gets popped off the call stack, and the engine continues.
The engine encounters the setTimeout
method, which gets popped on to the call stack. The setTimeout
method is native to the browser: its callback function (() => console.log('In timeout')
) will get added to the Web API, until the timer is done. Although we provided the value 0
for the timer, the call back still gets pushed to the Web API first, after which it gets added to the (macro)task queue: setTimeout
is a macro task!
The engine encounters the Promise.resolve()
method. The Promise.resolve()
method gets added to the call stack, after which is resolves with the value Promise!
. Its then
callback function gets added to the microtask queue.
The engine encounters the console.log()
method. It gets added to the call stack immediately, after which it logs the value End!
to the console, gets popped off the call stack, and the engine continues.
The engine sees the callstack is empty now. Since the call stack is empty, it's going to check whether there are queued tasks in the microtask queue! And yes there are, the promise then
callback is waiting for its turn! It gets popped onto the call stack, after which it logs the resolved value of the promise: the string Promise!
in this case.
The engine sees the call stack is empty, so it's going to check the microtask queue once again to see if tasks are queued. Nope, the microtask queue is all empty.
It's time to check the (macro)task queue: the setTimeout
callback is still waiting there! The setTimeout
callback gets popped on to the callstack. The callback function returns the console.log
method, which logs the string "In timeout!"
. The setTimeout
callback get popped off the callstack.
Finally, all done! 🥳 It seems like the output we saw earlier wasn't so unexpected after all.
Async/Await
ES7 introduced a new way to add async behavior in JavaScript and make working with promises easier! With the introduction of the async
and await
keywords, we can create async functions which implicitly return a promise. But.. how can we do that? 😮
Previously, we saw that we can explicitly create promises using the Promise
object, whether it was by typing new Promise(() => {})
, Promise.resolve
, or Promise.reject
.
Instead of explicitly using the Promise
object, we can now create asynchronous functions that implicitly return an object! This means that we no longer have to write any Promise
object ourselves.
Although the fact that async functions implicitly return promises is pretty great, the real power of async
functions can be seen when using the await
keyword! With the await
keyword, we can suspend the asynchronous function while we wait for the await
ed value return a resolved promise. If we want to get the value of this resolved promise, like we previously did with the then()
callback, we can assign variables to the await
ed promise value!
So, we can suspend an async function? Okay great but.. what does that even mean?
Let's see what happens when we run the following block of code:
Hmm.. What's happening here?
First, the engine encounters a console.log
. It gets popped onto the call stack, after which Before function!
gets logged.
Then, we invoke the async function myFunc()
, after which the function body of myFunc
runs. On the very first line within the function body, we call another console.log
, this time with the string In function!
. The console.log
gets added to the call stack, logs the value, and gets popped off.
The function body keeps on being executed, which gets us to the second line. Finally, we see an await
keyword! 🎉
The first thing that happens is that the value that gets awaited gets executed: the function one
in this case. It gets popped onto the call stack, and eventually returns a resolved promise. Once the promise has resolved and one
returned a value, the engine encounters the await
keyword.
When encountering an await
keyword, the async
function gets suspended. ✋🏼 The execution of the function body gets paused, and the rest of the async function gets run in a microtask instead of a regular task!
Now that the async function myFunc
is suspended as it encountered the await
keyword, the engine jumps out of the async function and continues executing the code in the execution context in which the async function got called: the global execution context in this case! 🏃🏽♀️
Finally, there are no more tasks to run in the global execution context! The event loop checks to see if there are any microtasks queued up: and there are! The async myFunc
function is queued up after resolving the valued of one
. myFunc
gets popped back onto the call stack, and continues running where it previously left off.
The variable res
finally gets its value, namely the value of the resolved promise that one
returned! We invoke console.log
with the value of res
: the string One!
in this case. One!
gets logged to the console and gets popped off the call stack! 😊
Finally, all done! Did you notice how async
functions are different compared to a promise then
? The await
keyword suspends the async
function, whereas the Promise body would've kept on being executed if we would've used then
!
Hm that was quite a lot of information! 🤯 No worries at all if you still feel a bit overwhelmed when working with Promises, I personally feel that it just takes experience to notice patterns and feel confident when working with asynchronous JavaScript.
However, I hope that the "unexpected" or "unpredictable" behavior that you might encounter when working with async JavaScript makes a bit more sense now!
And as always, feel free to reach out to me! 😊
If you want to know more about promises states (and fates!), this Github repo does an excellent job explaining the differences.
Top comments (171)
Loving the article and the visualizations!
There is a gotcha however,
setTimeout(..., 0)
will not immediately put the task to the macrotask queue because of browser throttling. While the result will be the same, the reason why setTimeout fires last is because it is queued up in the macro task queue "a lot" later (4ms) rather than it being a macro task.That
setTimeout
is throttled is why Node environment hassetImmediate
. For more information about browser throttling: developer.mozilla.org/en-US/docs/W...Extremely useful and intuitive.
Love the way you describe problem and provide innovative graphical solutions.
Thanks for creating wonderful visuals.
Just wondering what tools you use for creating those. 🧐
Great. I think I understand a lot more now :) I was wondering, how did you make this image? dev-to-uploads.s3.amazonaws.com/i/... I would love to have a node REPL which also shows me the "green" stuff...
Haha I just make it manually, sorry! It's a pain to find a repl that shows that..
If you wouldn't mind, what software do you use to make it? I've been trying to figure it out for a while and came up blank. Thanks love the work.
I too wish to know this 👌
I use Keynote!
GLORY TO THE CSS
Those are dope.
Hi Lydia,
Thanks for writing this up. Great article, enjoyed it and nice animations!!
IMHO, this article is missing one bit and it would be perfect if you can update for the below change.
Now that the async function myFunc is suspended as it encountered the await keyword, the engine jumps out of the async function and continues executing the code in the execution context in which the async function got called: the global execution context in this case!
After this statement, the article can mention this is where the statement
console.log('After function')
gets executed printingAfter function
to the console.Thanks.
I got a difference answer when i tried the last code:
Async/await
executing the next lines but saving in memory not showing in the output ,untilawait
got the result. And its working synchronously. it shows firstawait
result and executing line by line.You place all console.logs in async function not outside, thus after "Before Async" it sees await, resolves promise and moves the getme() function into the microtasks, since there are no other tasks in callstack, getme() moves back to callstack and executes where it stopped i.e. at await, so res gets initialized, then 'Async function' and 'After Async' are logged.
This is interesting, you use Promise.resolve function to return a Promise directly, instead of using a callback function that return that Promise.resolve function. This way, you have resolved your Promise right in line 1, not in line const res = await x.
Thanks A LOT for this post, I been waiting a long time for such a clear explanation of this topic
Thank you so much!
Just a minor suggestion - the visualization says "Timeout!", but the content says. "In timeout!"
Otherwise, it was a very nice article. I know more about the JavaScript queues!
I have a bit of a question. From what I understood,
async
functions are there to solve the problems where there are functions that took a long time to process such as API calls. However, if the call stack waits for the Promise to resolve, then encounter theawait
keyword, it means that the execution time will still be similar. Is there any part I misunderstand?Only the async functions encountering
await
will be suspended, other functions - that don't depend on the awaited result - still run.Great article, thanks !
I have a question: What would happen if we use an actual http request, e.g.
getImage().then(res => console.log('res1')).then(res => console.log('res2')))
. getImage body would go into webapi, then into (micro?macro?) queue, and back to callStack where.then
would be executed, sent to micro queue and the same process with the next.then
...?I'd just like to interject for a moment. You still need to write Promises when you actually implement these async functions. Almost all browser and Node APIs are callback-based, not even promise-based so you either need a thin wrapper library that converts them to Promises or do it yourself.
What you don't need anymore is
.then
chain because that's the whole point ofasync
syntaxOne of the best, if not the best, explanation of promises. The explanation I wish I had and glad I got to read today. Excellent visuals too!
Ah thank you so much! 😃
Some comments may only be visible to logged-in visitors. Sign in to view all comments.