Web App Development

Understanding the size of an object in Chrome/V8

When looking at an object in a DevTools heap snapshot it’s not always clear why an object has a certain (shallow) size.

The size of an object will depend on the JavaScript engine that’s running your code. In Chrome that’s V8, and this article will look at an object and explain it’s size based on the implementation details of V8.

I’ve also made a video with basically the same content as this article. However the video doesn’t have the section on object literals.

DevTools heap snapshot

A simple example, and a naive guess

Let’s create a simple object. How much space do you think it will take up in memory?

function Thing(){
    this.a = "a"
    this.b = "b"
window.oneThing = new Thing()

At a minimum V8 needs to store two references to a and b. So, how big is a reference? We need to point to an address in memory and on a 64 bit system we use 64 bits to point to a memory location. So we need 64 bits or 8 bytes to store a reference.

Since we have two references, we should expect the size of our object to be around 16 bytes.

To create this object V8 also needs to allocate two string objects. However, while the memory used to store the strings is counted towards the retained size of oneThing, they are not included in the shallow size.

Measuring object size with the DevTools heap inspector

To measure how much memory is used to store an object we can use the Heap Inspector tool in the DevTools Profiles tab. (If you have a newer version of Chrome this tab might be called Memory.)

We can use the “Class filter” field to only show objects that were created using a constructor called Thing.

Simple object in Chrome heapsnapshot, 140 bytes

Turns out our Thing is more than six times larger than we expected, taking up 104 bytes. Why’s that?

How V8 optimizes default object sizes

When V8 creates a new object instance it has to decide how much memory to allocate. However, that’s not so easy. While in a static programming language it’s known in advance how many properties an object will have, dynamic languages like JavaScript are a little more tricky.

As a result V8 is quite generous when first allocating memory for a new object.

But as you create more objects V8 learns more about how much memory is actually necessary to store a Thing. After creating 8 objects V8 decides it has enough information and allocates a more reasonable amount of memory.

// Create 7 more objects, so we have 8 in total
for (var i=0; i<7; i++) {
    window[i] = new Thing()

Running this code shrinks the size of each Thing down to 40 bytes.

40 bytes after Chrome has information about objects with that constructor

We still have a 24 byte difference, but that can be explained by three additional properties that are stored with each object.

Hidden classes

Let’s click on the arrow next to one of the Thing objects to see what values V8 says it stores on this object.

The expanded item shows a Map property

a and b are what we would expect. But what about map and __proto__?

Since JavaScript is a dynamic language it’s possible to assign any property to any object. So the natural data structure for objects would be a dictionary, maybe implemented as a hash table.

However, that’s not very performant. Rather than just having one object type V8 uses a concept called hidden classes to give a type to each object. Internally, V8 refers to hidden classes as Maps.

What does a hidden class look like?

Hidden class/map

There are a few things you can notice in this screenshot:

Given that the hidden class already stores a reference to the prototype, what’s the point of __proto__? I don’t think there is one any more and it’s not actually stored on the object.

So the hidden class accounts for another 8 bytes, and __proto__ doesn’t take any space directly on the object.

Extra properties

Further up I talked about how V8 learns how much space is required to store an object with a certain constructor. But what if later on I add more properties to my Thing objects?

window.oneThing.c = "c"

V8 doesn’t have enough space to store the new value on the object. To avoid re-allocating the object and giving it more space V8 objects can have a properties property where additional values are stored.

Thing has a property called properties

The reference to the object that stores the extra values takes up another 8 bytes. Only another 8 bytes left to go!

Numeric elements

Finally, V8 gives special treatment to numeric properties, such as used for array indices.

window.oneThing[4] = "four"

Like extra properties, values at numeric indices are stored in a special elements object.

Thing has a property called elements


We need space for 5 references on the object:

5 references at 8 bytes each gives us a total object size of 40 bytes.

How does this apply to object literals?

I’ve not read anything about how V8 handles object literal internally. However, I did play around in the console for a bit.

It seems that every empty object literal ({}) will be allocated 56 bytes. You can then add 4 property values to it until new property references will be stored in the properties value instead of directly on the object.

However, if your initial object literal already has some properties V8 will allocate just enough memory to store those properties. The shallow size of {a: "a"} will be 32 bytes, for {a: "a", b: "b", ..., e: "e"} it will be 64 bytes.

Creating multiple objects at the same place in the code does not bring down the object size. That means after running this each object still takes 56 bytes, rather than being shrunken down to 32 bytes:

function makeObj(){
    var obj = {}
    obj.a = "a"
    return obj
for (var i=0; i< 100; i++) {
   window["o" + i] = makeObj()

If you’d like to do your own tests, I suggest wrapping the objects you create in another object with a named constructor, so you can search for it in the heap snapshot:

var container = new (function Searchable(){})()
function makeObj(){
    var obj = {a: "a"}
    return obj
container.o = makeObj()

More information

If you want to learn more about V8 object representation there’s a fantastic blog post by Jay Conrod.

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