Authors: Daniel Berzin Chua, Ong Shu Peng
Reviewers: Chelsey Ong, Damith C, Gilbert Emerson, Tan Heng Yeow
Typically, code we write executes in synchronous manner i.e., the current operation completes its work before proceeding with next operation. However, take an HTTP request for example. It is an operation that takes a while to process, depending on your internet speed and where you are in the world. If such an operation was to be executed in a synchronous manner, your application would be slow because it has to wait for this request to complete and it would not make for a particularly good user experience. Instead, we can make HTTP requests to operate asynchronously in order to improve the speed and user experience of your program. Asynchronous operations do not wait for their work to be finished before proceeding on with other operations; it allow those operations to continue processing in the background while other operations are executed.
However, programming and debugging of asynchronous operations is more difficult compared to synchronous operations, because you would need some way to know when the operation has finished, or in the case of debugging, the point at which the operation is called. It can be especially confusing to trace the code since it may not run in the sequence that you would normally expect.
To illustrate this problem, we'll use setTimeout()
: a function that has 3 parameters, a callback, a time (in milliseconds) to wait before the callback is executed, and an additional parameters to pass to the callback. A callback is a function that is passed as a parameter to another function, and it will be executed after that function finishes. setTimeout()
is asynchronous as the code below it will execute while the timer is counting down, as you will see in the following code snippet.
You would probably expect console.log(x)
to print I have been updated
after 1 second has passed. Instead, it prints I have not been updated.
Give it a try in Google Chrome's developer console.
var x = "I have not been updated";
setTimeout(function (){
x = "I have been updated";
}, 1000);
console.log(x);
To fix this problem, we can simply shift the console.log(x)
into the callback to get the expected result. It will now print the correct value.
var x = "I have not been updated";
setTimeout(function (){
x = "I have been updated";
console.log(x);
}, 1000);
However, this fix will only go so far. If we had another setTimeout()
that depended on the result of the earlier setTimeout()
, we would have to nest the functions within each other which would make for hard-to-read code as follows.
var x = "I have not been updated";
setTimeout(function (){
x = "I have been updated";
console.log(x);
setTimeout(function () {
x = "I have been updated 2 times.";
console.log(x);
setTimeout(function () {
x = "I have been updated 3 times.";
console.log(x);
// and so on...
}, 1000);
}, 1000);
}, 1000);
This is what's infamously known as callback hell. It's a natural result of using too many callbacks, as this would result in the code becoming deeply nested. It would be difficult for anyone to read your code and to understand what exactly is going on.
We can instead use Promises for cleaner code that would be easier to read, write and debug.
The following example is adapted from JavaScript Promises for Dummies.
Promises in Javascript behave the same way as Promises do in real life. Imagine that your friend promises to return you money that you have lent him. At the time this promise was made, you would not know if your friend would really return your money. Your friend could either return your money on time, or he could just not do it.
These situations correspond to the 3 states of Promises in Javascript.
State | Description |
---|---|
Pending | You don't know if he would return your money. |
Fulfilled | He returned your money. |
Rejected | He refused to return your money. |
Promises provide the ability to specify how the execution of some part of your code would depend on the status of an asynchronous operation. It can now wait for the asynchronous operation to resolve first before doing any work on its result.
Let's learn how promises work by starting with an example that uses callbacks and converting it to use promises.
Say we have two functions, getData()
and filterData()
which require some time to complete. You will have to get the data from some server using getData()
, then process it using filterData()
, before you can start displaying the results.
How would such functions be implemented using the callback method? The callback method utilizes the fact that we can easily pass functions into javascript as parameters and then use them within the function, effectively "passing" any form of data out, without explicitly returning any value.
We will implement the above use case in the callback-style (mimicking the long return time of the functions using setTimeout
):
function executeWithDelay(val, callback) {
// return val after a short wait
setTimeout(function(){
callback(val);
}, 1000);
}
/** Delayed function calls **/
function getData(callback) {
executeWithDelay('some random data', callback);
}
function filterData(data, callback) {
executeWithDelay(data.split(' '), callback);
}
function main() {
getData(function(data){
filterData(function(filtered){
// will print array of splitted text
console.log(filtered);
})
});
}
main();
Now we will rewrite all these using promises. We will be using the same function and variable names, to show how exactly promise compare to callbacks.
function executeWithDelay(val) {
// return val after a short wait
return new Promise(resolve => {
setTimeout(function(){
resolve(val);
}, 1000);
});
}
/** note these functions now return a promise **/
function getdata() {
return executeWithDelay('some random data');
}
function filterdata(data, callback) {
return executeWithDelay(data.split(' '));
}
function main() {
return getData()
.then(data => filterData(data))
.then(filtered => console.log(filtered));
}
main();
async-await
The example above uses .then()
to pass data from one function to the next is often seen in functional programming. The original promise is passed from one .then()
to the other, and with each .then()
, a new promise is returned for the next .then()
to work on.
That is somewhat different from the imperative programming style most programmers are more familiar with. The async
and await
keywords facilitate a imperative way of using promises.
Consider the main
function from the previous example:
function main() {
return getData()
.then(data => filterData(data))
.then(fltered => console.log(filtered));
}
It can be rewritten in the async-await-style as follows:
async function main() {
const data = await getData();
const filtered = await filterData(data);
console.log(filtered);
return filtered;
}
The async
keyword ensures that the main()
function returns a promise. In our case, this will cause main()
to return a promise with filtered
as its data. The information can then be used like so main().then(filtered => alert(filtered));
.
Another interesting thing to note: await
will wait for the promise to return before executing anything below. In this case, console.log
will be executed after the two await
calls, even when it doesn't depend on the results of those calls.
In the promise-style, we handle errors using the .catch()
block. However when using the async-await-style, we handle the errors using the more conventional try ... catch
block. These can be explored further in here
Given below are some examples where JavaScript promises can be used:
HTTP Requests
Earlier in this chapter, HTTP requests were mentioned as an example of an asynchronous operation. By using Promises, you would be able to act on the result from the request without having to use callbacks or wait an arbitrarily set amount of time for the response to be returned.
The following code sends a GET request to a URL and logs the body of the response using Promises. By using Promises instead of callbacks, we have clean code and improved performance as the code is able to run in the background.
Code adapted from Promise MDN docs
function fetchPage(url) {
return new Promise((resolve, reject) => {
const xhr = new XMLHttpRequest();
xhr.open("GET", url);
xhr.onload = () => resolve(xhr.responseText);
xhr.onerror = () => reject(xhr.statusText);
xhr.send();
});
}
fetchPage('path/to/resource')
.then(response => console.log(response))
.catch(err => console.log(err));
Disk I/O
Reading a file, especially a large one may take some time to complete. If we were to use a synchronous file reading function, the rest of your program wouldn't be able to run because it is stuck waiting for the file to be read. Instead, we can use asynchronous file reading functions which allow for background loading of the file, whilst keeping your program humming along.
const fs = require('fs'); // this is the in-built filesystem module from Node.js
function readFileWithPromise(filePath) {
return new Promise(function(resolve, reject) {
fs.readFile(filePath, 'utf8', function(err, data) {
if (err) {
reject(err);
} else {
resolve(data);
}
});
})
};
readFileWithPromise('path/to/file')
.then(data => console.log(data))
.catch(err => console.log(err));
Sometimes multiple promises may have to be used at a time, and Javascript provides excellent support with the Promise.all
and Promise.race
functions.
If multiple asynchronous operations have to be performed, and these operations are independent in that they do not rely on each other's values, Promise.all()
can be used to execute all these operations at a go. It takes in an array of Promises and returns either an array with all the resolved values, or the value of the first rejected Promise. After which, then()
which was previously mentioned, can be used to act on all these resolved values.
There is an excellent write up on these methods here, which go through how best to use these functions.
In addition, there are other libraries such as Bluebird and Q which offer even more functionality such as Promise monitoring and synchronous inspection of Promises.
You may read more about Promises, and how to use them at the following pages: