JavaScript and Object-Oriented Programming

JavaScript and Object-Oriented Programming

This article is written for students of JavaScript that don’t have any prior knowledge in object-oriented programming (OOP). I focus on the parts of OOP that are only relevant for JavaScript and not OOP in general. Therefore, I skip polymorphism because I think it fits better with a static-typed language.

This article is written for students of JavaScript that don’t have any prior knowledge in object-oriented programming (OOP). I focus on the parts of OOP that are only relevant for JavaScript and not OOP in general. Therefore, I skip polymorphism because I think it fits better with a static-typed language.

Why do you need to know this?

Have you picked JavaScript to be your first programming language? Do you want to be a hot-shot developer who works on giant enterprise systems spanning a hundred-thousand lines of code or more?

Unless you learn to fully embrace Object-Oriented Programming, you will be well and truly lost.

Different Mindsets

In football, you can play from a safe defense, you can play with high balls from the sides or you can attack like there is no tomorrow. All of these strategies have the same objective: To win the game.

The same is true for programming paradigms. There are different ways to approach a problem and design a solution.

Object-oriented programming, or OOP, is THE paradigm for modern application development and is supported by major languages like Java, C# or JavaScript.

The Object-Oriented Paradigm

From the OOP perspective, an application is a collection of “objects” that communicate with each other. We base these objects on things in the real world, like products in inventory or employee records. Objects contain data and perform some logic based on their data. As a result, OOP code is very easy to understand. What is not so easy is deciding how to break an application into these small objects in the first place.

If you are like me when I heard it the first time, you have no clue what this actually means — it all sounds very abstract. Feeling that way is absolutely fine. It’s more important that you’ve heard the idea, remember it, and try to apply OOP in your code. Over time, you will gain experience and align more of your code with this theoretical concept.

Lesson: OOP based on real-world objects lets anyone read your code and understand what’s going on.

Object as Centerpiece

A simple example will help you see how JavaScript implements the fundamental principles of OOP. Consider a shopping use case in which you put products into your basket and then calculate the total price you must pay. If you take your JavaScript knowledge and code the use case without OOP, it would look like this:

const bread = {name: 'Bread', price: 1};
const water = {name: 'Water', price: 0.25};

const basket = [];

const total = basket
  .map(product => product.price)
  .reduce((a, b) => a + b, 0);

console.log('one has to pay in total: ' + total);

The OOP perspective makes writing better code easier because we think of objects as we would encounter them in the real world. As our use case contains a basket of products, we already have two kinds of objects — the basket object and the product objects.

The OOP version of the shopping use case could be written like:

const bread = new Product("bread", 1);
const water = new Product("water", .25)

const basket = new Basket();
basket.addProduct(2, bread);
basket.addProduct(3, water);

As you can see in the first line, we create a new object by using the keyword new followed by the name of what’s called a class (described below). This returns an object that we store to the variable bread. We repeat that for the variable water and take a similar path to create a variable basket. After you have added these products to your basket, you finally print out the total amount you have to pay.

The difference between the two code snippets is obvious. The OOP version almost reads like real English sentences and you can easily tell what’s going on.

Lesson: An object modeled on real-world things consists of data and functions.

Class as Template

We use classes in OOP as templates for creating objects. An object is an “instance of a class” and “instantiation” is the creation of an object based on a class. The code is defined in the class but can’t execute unless it is in a live object.

You can look at classes like the blueprints for a car. They define the car’s properties like torque and horsepower, internal functions such as air-to-fuel ratios and publicly accessible methods like the ignition. It is only when a factory instantiates the car, however, that you can turn the key and drive.

In our use case, we use the Product class to instantiate two objects, bread and water. Of course, those objects need code which you have to provide in the classes. It goes like this:

function Product(_name, _price) {
  const name = _name;
  const price = _price;

  this.getName = function() {
    return name;

  this.getPrice = function() {
    return price;

function Basket() {
  const products = [];

  this.addProduct = function(amount, product) {

  this.calcTotal = function() {
    return products
      .map(product => product.getPrice())
      .reduce((a, b) => a + b, 0);

  this.printShoppingInfo = function() {
    console.log('one has to pay in total: ' + this.calcTotal());

A class in JavaScript looks like a function, but you use it differently. The name of the function is the class’s name and is capitalised. Since it doesn’t return anything, we don’t call the function in the usual way like const basket = Product("bread", 1);. Instead, we add the keyword new like const basket = new Product("bread", 1);.

The code inside the function is the constructor and is executed each time an object is instantiated. Product has the parameters _name and _price. Each new object stores these values inside of it.

Furthermore, we can define functions that the object will provide. We define these function by prepeding the this keyword which makes them accessible from the outside (see Encapsulation). Notice that the functions have full access to the properties.

Class Basket doesn’t require any arguments to create a new object. Instantiating a new Basket object simply generates an empty list of products that the program can fill afterwards.

Lesson: A class is a template for generating objects during runtime.


You may encounter another version of how to declare a class:

function Product(name, price) { = name;
  this.price = price;

Mind the assignment of the properties to the variable this. At first sight, it seems to be a better version because it doesn't require the getter (getName & getPrice) methods anymore and is therefore shorter.

Unfortunately, you have now given full access to the properties from the outside. So everybody could access and modify it:

const bread = new Product('bread', 1)
bread.price = -10;

This is something you don't want as it makes the application more difficult to maintain. What would happen if you added validation code to prevent, for example, prices less than zero? Any code that accesses the price property directly would bypass the validation. This could introduce errors that would be difficult to trace. Code that uses the object’s getter methods, on the other hand, are guaranteed to go through the object’s price validation.

Objects should have exclusive control over their data. In other words, the objects “encapsulate” their data and prevent other objects from accessing the data directly. The only way to access the data is indirectly via the functions written into the objects.

Data and processing (aka. logic) belong together. This is especially true when it comes to larger applications where it is very important that processing data is restricted to specifically-defined places.

Done right, the result OOP produces modularity by design, the holy grail in software development. It keeps away the feared spaghetti-code where everything is tightly coupled and you don’t know what happens when you change a small piece of code.

In our case, objects of class Product don’t let you change the price or the name after their initialisation. The instances of Product are read-only.

Lesson: Encapsulation prevents access to data except through the object’s functions.


Inheritance lets you create a new class by extending an existing class with additional properties and functions. The new class “inherits” all of the features of its parent, avoiding the creation of new code from scratch. Furthermore, any changes made to the parent class will automatically be available to the child class, making updates much easier.

Let’s say we have a new class called Book that has a name, a price and an author. With inheritance, you can say that a Book is the same as a Product but with the additional author property. We say that Product is the superclass of Book and Book is a subclass of Product:

function Book(_name, _price, _author) {, _name, _price);
  const author = _author;

  this.getAuthor = function() {
    return author;


Note the additional along the this as first argument. Please be aware: Although book provides the getter methods, it still doesn’t have direct access to the properties name and price. Book must call that data from the Product class.

You can now add a book object to the basket without any issues:

const faust = new Book('faust', 12.5, 'Goethe');
basket.addProduct(1, faust);

Basket expects an object of type Product and, since book inherits from Product through Book, it is also a Product.

Lesson: Subclasses can inherit properties and functions from superclasses while adding properties and functions of their own.

JavaScript and OOP

You will find three different programming paradigms used to create JavaScript applications. They are Prototype-Based Programming, Object-Oriented Programming and Functional-Oriented Programming.

The reason for this lies in JavaScript’s history. Originally, it was prototype-based. JavaScript was not intended as a language for large applications.

Against the plan of its founders, developers increasingly used JavaScript for bigger applications. OOP was grafted on top of the original prototype-based technique.

The prototype-based approach is shown below and is seen as the "classical and default way" to construct classes. Unfortunately it does not support encapsulation.

Even though JavaScript’s support for OOP is not at the same level as other languages like Java, it is still evolving. The release of version ES6 added a dedicated class keyword we could use. Internally, it serves the same purpose as the prototype property, but it reduces the size of the code. However, ES6 classes still lack private properties, which is why I stuck to the “old way”.

For the sake of completeness, this is how we would write the Product, Basket and Book with ES6 classes and also with the prototype (classical and default) approach. Please note that these versions don't provide encapsulation:

// ES6 version

class Product {
  constructor(name, price) { = name;
    this.price = price;

class Book extends Product {
  constructor(name, price, author) {
    super(name, price); = author;

class Basket {
  constructor() {
    this.products = [];

  addProduct(amount, product) {

  calcTotal() {
    return this.products
      .map(product => product.price)
      .reduce((a, b) => a + b, 0);

  printShoppingInfo() {
    console.log('one has to pay in total: ' + this.calcTotal());

const bread = new Product('bread', 1);
const water = new Product('water', 0.25);
const faust = new Book('faust', 12.5, 'Goethe');

const basket = new Basket();
basket.addProduct(2, bread);
basket.addProduct(3, water);
basket.addProduct(1, faust);
//Prototype version

function Product(name, price) { = name;
  this.price = price;

function Book(name, price, author) {, name, price); = author;
Book.prototype = Object.create(Product.prototype);
Book.prototype.constructor = Book;

function Basket() {
  this.products = [];
Basket.prototype.addProduct = function(amount, product) {
Basket.prototype.calcTotal = function() {
  return this.products
    .map(product => product.price)
    .reduce((a, b) => a + b, 0);
Basket.prototype.printShoppingInfo = function() {
  console.log('one has to pay in total: ' + this.calcTotal());

Lesson: OOP was added to JavaScript later in its development.


As a new programmer learning JavaScript, it will take time to fully appreciate Object-Oriented Programming. The important things to understand at this early stage are the principles the OOP paradigm is based on and the benefits they provide:

  • Objects modeled on real-world things are the centerpiece of any OOP-based application.
  • Encapsulation protects data from uncontrolled access.
  • Objects have functions that operate on the data the objects contain.
  • Classes are the templates used to instantiate objects.
  • Inheritance is a powerful tool for avoiding redundancy.
  • OOP is more verbose but easier to read than other coding paradigms.
  • Since OOP came later in JavaScript’s development, you may come across older code that uses prototype or functional programming techniques.

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JavaScript developers should you be using Web Workers?

JavaScript developers should you be using Web Workers?

Do you think JavaScript developers should be making more use of Web Workers to shift execution off of the main thread?

Originally published by David Gilbertson at

So, Web Workers. Those wonderful little critters that allow us to execute JavaScript off the main thread.

Also known as “no, you’re thinking of Service Workers”.

Photo by Caleb Jones on Unsplash

Before I get into the meat of the article, please sit for a lesson in how computers work:

Understood? Good.

For the red/green colourblind, let me explain. While a CPU is doing one thing, it can’t be doing another thing, which means you can’t sort a big array while a user scrolls the screen.

This is bad, if you have a big array and users with fingers.

Enter, Web Workers. These split open the atomic concept of a ‘CPU’ and allow us to think in terms of threads. We can use one thread to handle user-facing work like touch events and rendering the UI, and different threads to carry out all other work.

Check that out, the main thread is green the whole way through, ready to receive and respond to the gentle caress of a user.

You’re excited (I can tell), if we only have UI code on the main thread and all other code can go in a worker, things are going to be amazing (said the way Oprah would say it).

But cool your jets for just a moment, because websites are mostly about the UI — it’s why we have screens. And a lot of a user’s interactions with your site will be tapping on the screen, waiting for a response, reading, tapping, looking, reading, and so on.

So we can’t just say “here’s some JS that takes 20ms to run, chuck it on a thread”, we must think about where that execution time exists in the user’s world of tap, read, look, read, tap…

I like to boil this down to one specific question:

Is the user waiting anyway?

Imagine we have created some sort of git-repository-hosting website that shows all sorts of things about a repository. We have a cool feature called ‘issues’. A user can even click an ‘issues’ tab in our website to see a list of all issues relating to the repository. Groundbreaking!

When our users click this issues tab, the site is going to fetch the issue data, process it in some way — perhaps sort, or format dates, or work out which icon to show — then render the UI.

Inside the user’s computer, that’ll look exactly like this.

Look at that processing stage, locking up the main thread even though it has nothing to do with the UI! That’s terrible, in theory.

But think about what the human is actually doing at this point. They’re waiting for the common trio of network/process/render; just sittin’ around with less to do than the Bolivian Navy.

Because we care about our users, we show a loading indicator to let them know we’ve received their request and are working on it — putting the human in a ‘waiting’ state. Let’s add that to the diagram.

Now that we have a human in the picture, we can mix in a Web Worker and think about the impact it will have on their life:


First thing to note is that we’re not doing anything in parallel. We need the data from the network before we process it, and we need to process the data before we can render the UI. The elapsed time doesn’t change.

(BTW, the time involved in moving data to a Web Worker and back is negligible: 1ms per 100 KB is a decent rule of thumb.)

So we can move work off the main thread and have a page that is responsive during that time, but to what end? If our user is sitting there looking at a spinner for 600ms, have we enriched their experience by having a responsive screen for the middle third?


I’ve fudged these diagrams a little bit to make them the gorgeous specimens of graphic design that they are, but they’re not really to scale.

When responding to a user request, you’ll find that the network and DOM-manipulating part of any given task take much, much longer than the pure-JS data processing part.

I saw an article recently making the case that updating a Redux store was a good candidate for Web Workers because it’s not UI work (and non-UI work doesn’t belong on the main thread).

Chucking the data processing over to a worker thread sounds sensible, but the idea struck me as a little, umm, academic.

First, let’s split instances of ‘updating a store’ into two categories:

  1. Updating a store in response to a user interaction, then updating the UI in response to the data change
  2. Not that first one

If the first scenario, a user taps a button on the screen — perhaps to change the sort order of a list. The store updates, and this results in a re-rendering of the DOM (since that’s the point of a store).

Let me just delete one thing from the previous diagram:

In my experience, it is rare that the store-updating step goes beyond a few dozen milliseconds, and is generally followed by ten times that in DOM updating, layout, and paint. If I’ve got a site that’s taking longer than this, I’d be asking questions about why I have so much data in the browser and so much DOM, rather than on which thread I should do my processing.

So the question we’re faced with is the same one from above: the user tapped something on the screen, we’re going to work on that request for hopefully less than a second, why would we want to make the screen responsive during that time?

OK what about the second scenario, where a store update isn’t in response to a user interaction? Performing an auto-save, for example — there’s nothing more annoying than an app becoming unresponsive doing something you didn’t ask it to do.

Actually there’s heaps of things more annoying than that. Teens, for example.

Anyhoo, if you’re doing an auto-save and taking 100ms to process data client-side before sending it off to a server, then you should absolutely use a Web Worker.

In fact, any ‘background’ task that the user hasn’t asked for, or isn’t waiting for, is a good candidate for moving to a Web Worker.

The matter of value

Complexity is expensive, and implementing Web Workers ain’t cheap.

If you’re using a bundler — and you are — you’ll have a lot of reading to do, and probably npm packages to install. If you’ve got a create-react-app app, prepare to eject (and put aside two days twice a year to update 30 different packages when the next version of Babel/Redux/React/ESLint comes out).

Also, if you want to share anything fancier than plain data between a worker and the main thread you’ve got some more reading to do (comlink is your friend).

What I’m getting at is this: if the benefit is real, but minimal, then you’ve gotta ask if there’s something else you could spend a day or two on with a greater benefit to your users.

This thinking is true of everything, of course, but I’ve found that Web Workers have a particularly poor benefit-to-effort ratio.

Hey David, why you hate Web Workers so bad?

Good question.

This is a doweling jig:

I own a doweling jig. I love my doweling jig. If I need to drill a hole into the end of a piece of wood and ensure that it’s perfectly perpendicular to the surface, I use my doweling jig.

But I don’t use it to eat breakfast. For that I use a spoon.

Four years ago I was working on some fancy animations. They looked slick on a fast device, but janky on a slow one. So I wrote fireball-js, which executes a rudimentary performance benchmark on the user’s device and returns a score, allowing me to run my animations only on devices that would render them smoothly.

Where’s the best spot to run some CPU intensive code that the user didn’t request? On a different thread, of course. A Web Worker was the correct tool for the job.

Fast forward to 2019 and you’ll find me writing a routing algorithm for a mapping application. This requires parsing a big fat GeoJSON map into a collection of nodes and edges, to be used when a user asks for directions. The processing isn’t in response to a user request and the user isn’t waiting on it. And so, a Web Worker is the correct tool for the job.

It was only when doing this that it dawned on me: in the intervening quartet of years, I have seen exactly zero other instances where Web Workers would have improved the user experience.

Contrast this with a recent resurgence in Web Worker wonderment, and combine that contrast with the fact that I couldn’t think of anything else to write about, then concatenate that combined contrast with my contrarian character and you’ve got yourself a blog post telling you that maybe Web Workers are a teeny-tiny bit overhyped.

Thanks for reading

If you liked this post, share it with all of your programming buddies!

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Further reading

An Introduction to Web Workers

JavaScript Web Workers: A Beginner’s Guide

Using Web Workers to Real-time Processing

How to use Web Workers in Angular app

Using Web Workers with Angular CLI

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