This section demonstrates how you would go about optimizing the actual scriptsA piece of code that allows you to create your own Components, trigger game events, modify Component properties over time and respond to user input in any way you like. More info
See in Glossary and methods your game uses, and it also goes into detail about the reasons why the optimizations work, and why applying them will benefit you in certain situations.
There is no such thing as a list of boxes to check that will ensure your project runs smoothly. To optimize a slow project, you have to profile to find specific offenders that take up a disproportionate amount of time. Trying to optimize without profiling or without thoroughly understanding the results that the profiler gives is like trying to optimize with a blindfold on.
You can use the internal profiler to figure out what kind of process is slowing your game down, be it physics, scripts, or renderingThe process of drawing graphics to the screen (or to a render texture). By default, the main camera in Unity renders its view to the screen. More info
See in Glossary, but you can’t drill down into specific scripts and methods to find the actual offenders. However, by building switches into your game which enable and disable certain functionality, you can narrow down the worst offenders significantly. For example, if you remove the enemy characters’ AI script and the framerate doubles, you know that the script, or something that it brings into the game, has to be optimized. The only problem is that you may have to try a lot of different things before you find the problem.
For more about profiling on mobile devices, see the profiling section.
Attempting to develop something which is fast from the beginning is risky, because there is a trade-off between wasting time making things that would be just as fast if they weren’t optimized and making things which will have to be cut or replaced later because they are too slow. It takes intuition and knowledge of the hardware to make good decisions in this regard, especially because every game is different and what might be a crucial optimization for one game may be a flop in another.
We gave object pooling as an example of the intersection between good gameplay and good code design in the introduction to optimized scripting methods. Using object pooling for ephemeral objects is faster than creating and destroying them, because it makes memory allocation simpler and removes dynamic memory allocation overhead and Garbage Collection, or GC.
Scripts you write in Unity use automatic memory management. Just about all scripting languages do this. In contrast, lower level languages such as C and C++ use manual memory allocation, where the programmer is allowed to read and write from memory addresses directly, and as a consequence they are responsible for removing every object they create. For example, if you create objects in your C++, you have to manually de-allocate the memory that they take up when you are done with them. In a scripting language, it is enough to say objectReference = null;
Note: If I have a game object variable like GameObject myGameObject;
or var myGameObject : __GameObject__The fundamental object in Unity scenes, which can represent characters, props, scenery, cameras, waypoints, and more. A GameObject's functionality is defined by the Components attached to it. [More info](class-GameObject.html)<span class="tooltipGlossaryLink">See in [Glossary](Glossary.html#GameObject)</span>;
, why isn’t it destroyed when I say myGameObject = null;
?
Destroy(myGameObject);
removes that reference and deletes the object.But if you create an object that Unity has no idea about, for example, an instance of a class that does not inherit from anything (in contrast, most classes or “script components” inherit from MonoBehaviour) and then set your reference variable to it to null, what actually happens is that the object is lost as far as your script and Unity are concerned; they can’t access it and will never see it again, but it stays in memory. Then, some time later, the Garbage Collector runs, and it removes anything in memory that is not referenced anywhere. It is able to do this because, behind the scenesA Scene contains the environments and menus of your game. Think of each unique Scene file as a unique level. In each Scene, you place your environments, obstacles, and decorations, essentially designing and building your game in pieces. More info
See in Glossary, the number of references to each block of memory is kept track of. This is one reason why scripting languages are slower than C++.
Every time an object is created, memory is allocated. Very often in code, you are creating objects without even knowing it.
Debug.Log("boo" + "hoo");
creates an object.
System.String.Empty
instead of ""
when dealing with lots of strings.Immediate Mode GUI (UnityGUI) is slow and should not be used at any time when performance is an issue.
Difference between class and struct:
Classes are objects and behave as references. If Foo is a class and
Foo foo = new Foo();
MyFunction(foo);
then MyFunction will receive a reference to the original Foo object that was allocated on the heap. Any changes to foo inside MyFunction will be visible anywhere foo is referenced.
Classes are data and behave as such. If Foo is a struct and
Foo foo = new Foo();
MyFunction(foo);
then MyFunction will receive a copy of foo. foo is never allocated on the heap and never garbage collected. If MyFunction modifies it’s copy of foo, the other foo is unaffected.
The upshot of this is that using Instantiate and Destroy a lot gives the Garbage Collector a lot to do, and this can cause a “hitch” in gameplay. As the Automatic Memory Management page explains, there are other ways to get around the common performance hitches that surround Instantiate and Destroy, such as triggering the Garbage Collector manually when nothing is going on, or triggering it very often so that a large backlog of unused memory never builds up.
Another reason is that, when a specific prefabAn asset type that allows you to store a GameObject complete with components and properties. The prefab acts as a template from which you can create new object instances in the scene. More info
See in Glossary is instantiated for the first time, sometimes additional things have to be loaded into RAM, or textures and meshes need to be uploaded to the GPU. This can cause a hitch as well, and with object pooling, this happens when the level loads instead of during gameplay.
Imagine a puppeteer who has an infinite box of puppets, where every time the script calls for a character to appear, they get a new copy of its puppet out of the box, and every time the character exits the stage, they toss the current copy. Object pooling is the equivalent of getting all the puppets out of the box before the show starts, and leaving them on the table behind the stage whenever they are not supposed to be visible.
One issue is that the creation of a pool reduces the amount of heap memory available for other purposes; so if you keep allocating memory on top of the pools you just created, you might trigger garbage collection even more often. Not only that, every collection will be slower, because the time taken for a collection increases with the number of live objects. With these issues in mind, it should be apparent that performance will suffer if you allocate pools that are too large or keep them active when the objects they contain will not be needed for some time. Furthermore, many types of objects don’t lend themselves well to object pooling. For example, the game may include spell effects that persist for a considerable time or enemies that appear in large numbers but which are only killed gradually as the game progresses. In such cases, the performance overhead of an object pool greatly outweighs the benefits and so it should not be used.
Here’s a simple side by side comparison of a script for a simple projectile, one using Instantiation, and one using Object Pooling.
// GunWithInstantiate.js // GunWithObjectPooling.js
#pragma strict #pragma strict
var prefab : ProjectileWithInstantiate; var prefab : ProjectileWithObjectPooling;
var maximumInstanceCount = 10;
var power = 10.0; var power = 10.0;
private var instances : ProjectileWithObjectPooling[];
static var stackPosition = Vector3(-9999, -9999, -9999);
function Start () {
instances = new ProjectileWithObjectPooling[maximumInstanceCount];
for(var i = 0; i < maximumInstanceCount; i++) {
// place the pile of unused objects somewhere far off the map
instances[i] = Instantiate(prefab, stackPosition, Quaternion.identity);
// disable by default, these objects are not active yet.
instances[i].enabled = false;
}
}
function Update () { function Update () {
if(Input.GetButtonDown("Fire1")) { if(Input.GetButtonDown("Fire1")) {
var instance : ProjectileWithInstantiate = var instance : ProjectileWithObjectPooling = GetNextAvailiableInstance();
Instantiate(prefab, transform.position, transform.rotation); if(instance != null) {
instance.velocity = transform.forward * power; instance.Initialize(transform, power);
} }
} }
}
function GetNextAvailiableInstance () : ProjectileWithObjectPooling {
for(var i = 0; i < maximumInstanceCount; i++) {
if(!instances[i].enabled) return instances[i];
}
return null;
}
// ProjectileWithInstantiate.js // ProjectileWithObjectPooling.js
#pragma strict #pragma strict
var gravity = 10.0; var gravity = 10.0;
var drag = 0.01; var drag = 0.01;
var lifetime = 10.0; var lifetime = 10.0;
var velocity : Vector3; var velocity : Vector3;
private var timer = 0.0; private var timer = 0.0;
function Initialize(parent : Transform, speed : float) {
transform.position = parent.position;
transform.rotation = parent.rotation;
velocity = parent.forward * speed;
timer = 0;
enabled = true;
}
function Update () { function Update () {
velocity -= velocity * drag * Time.deltaTime; velocity -= velocity * drag * Time.deltaTime;
velocity -= Vector3.up * gravity * Time.deltaTime; velocity -= Vector3.up * gravity * Time.deltaTime;
transform.position += velocity * Time.deltaTime; transform.position += velocity * Time.deltaTime;
timer += Time.deltaTime; timer += Time.deltaTime;
if(timer > lifetime) { if(timer > lifetime) {
transform.position = GunWithObjectPooling.stackPosition;
Destroy(gameObject); enabled = false;
} }
} }
Of course, for a large, complicated game, you will want to make a generic solution that works for all your prefabs.
The example of “Hundreds of rotating, dynamically lit, collectable coins onscreen at once” which was given in the Scripting Methods section will be used to demonstrate how script code, Unity components like the Particle SystemA component that simulates fluid entities such as liquids, clouds and flames by generating and animating large numbers of small 2D images in the scene. More info
See in Glossary, and custom shadersA small script that contains the mathematical calculations and algorithms for calculating the Color of each pixel rendered, based on the lighting input and the Material configuration. More info
See in Glossary can be used to create a stunning effect without taxing the weak mobile hardware.
Imagine that this effect lives in the context of a 2D sidescrolling game with tons of coins that fall, bounce, and rotate. The coins are dynamically lit by point lights. We want to capture the light glinting off the coins to make our game more impressive.
If we had powerful hardware, we could use a standard approach to this problem. Make every coin an object, shade the object with either vertex-lit, forward, or deferred lighting, and then add glow on top as an image effect to get the brightly reflecting coins to bleed light onto the surrounding area.
But mobile hardware would choke on that many objects, and a glow effect is totally out of the question. So what do we do?
If you want to display a lot of objects which all move in a similar way and can never be carefully inspected by the player, you might be able to render large amounts of them in no time using a particle system. Here are a few stereotypical applications of this technique:
There is a free editor extension called Sprite PackerA facility that packs graphics from several sprite textures tightly together within a single texture known as an atlas. Unity provides a Sprite Packer utility to automate the process of generating atlases from the individual sprite textures. More info
See in Glossary that facilitates the creation of animated spriteA 2D graphic objects. If you are used to working in 3D, Sprites are essentially just standard textures but there are special techniques for combining and managing sprite textures for efficiency and convenience during development. More info
See in Glossary particle systems. It renders frames of your object to a texture, which can then be used as an animated sprite sheet on a particle system. For our use case, we would use it on our rotating coin.
Included in the Sprite Packer project is an example that demonstrates a solution to this exact problem.
It uses a family of assetsAny media or data that can be used in your game or Project. An asset may come from a file created outside of Unity, such as a 3D model, an audio file or an image. You can also create some asset types in Unity, such as an Animator Controller, an Audio Mixer or a Render Texture. More info
See in Glossary of all different kinds to achieve a dazzling effect on a low computing budget:
A readme file is included with the example which attempts to explain why and how the system works, outlining the process that was used to determine what features were needed and how they were implemented. This is that file:
The problem was defined as “Hundreds of rotating, dynamically lit, collectable coins onscreen at once.”
The naive approach is to Instantiate a bunch of copies of a coin prefab, but instead we are going to use particles to render our coins. However, this introduces a number of challenges that we have to overcome.
The end goal of this example or “moral of the story” is that if there is something which your game really needs, and it causes lag when you try to achieve it through conventional means, that doesn’t mean that it is impossible, it just means that you have to put in some work on a system of your own that runs much faster.
These are specific scripting optimizations which are applicable in situations where hundreds or thousands of dynamic objects are involved. Applying these techniques to every script in your game is a terrible idea; they should be reserved as tools and design guidelines for large scripts which handle tons of objects or data at run time.
In computer science, the Order of an operation, denoted by O(n), refers to the way that the number of times that the operation has to be evaluated increases as the number of objects it is applied to (n) increases.
For example, consider a basic sorting algorithm. I have n numbers and I want to sort them from smallest to largest.
void sort(int[] arr) {
int i, j, newValue;
for (i = 1; i < arr.Length; i++) {
// record
newValue = arr[i];
//shift everything that is larger to the right
j = i;
while (j > 0 && arr[j - 1] > newValue) {
arr[j] = arr[j - 1];
j--;
}
// place recorded value to the left of large values
arr[j] = newValue;
}
}
The important part is that there are two loops here, one inside the other.
for (i = 1; i < arr.Length; i++) {
...
j = i;
while (j > 0 && arr[j - 1] > newValue) {
...
j--;
}
}
Let’s assume that we give the algorithm the worst possible case: the input numbers are sorted, but in reverse order. In that case, the innermost loop will run j times. On average, as i goes from 1 to arr.Length–1, j will be arr.Length/2. In terms of O(n), arr.Length is our n, so, in total, the innermost loop runs nn/2* times, or n2/2** times. But in O(n) terms, we chuck all constants like 1/2, because we want to talk about the way that the number of operations increases, not the actual number of operations. So the algorithm is O(n2). The order of an operation matters a lot if the data set is large, because the number of operations can explode exponentially.
An in-game example of an O(n2) operation is 100 enemies, where the AI of each enemy takes the movements of every other enemy into account. It might be faster to divide the map into cells, record the movement of each enemy into the nearest cell, and then have each enemy sample the nearest few cells. That would be an O(n) operation.
Say you have 100 enemies in your game, and they all move towards the player.
// EnemyAI.js
var speed = 5.0;
function Update () {
transform.LookAt(GameObject.FindWithTag("Player").transform);
// this would be even worse:
//transform.LookAt(FindObjectOfType(Player).transform);
transform.position += transform.forward * speed * Time.deltaTime;
}
That could be slow, if there are enough of them running at the same time. Little known fact: all of the component accessors in MonoBehaviour, things like transform, renderer, and audio, are equivalent to their GetComponent(Transform) counterparts, and they are actually a bit slow. GameObject.FindWithTag has been optimized, but in some cases, for example, in inner loops, or on scripts that run on a lot of instances, this script might be a bit slow.
This is a better version of the script.
// EnemyAI.js
var speed = 5.0;
private var myTransform : Transform;
private var playerTransform : Transform;
function Start () {
myTransform = transform;
playerTransform = GameObject.FindWithTag("Player").transform;
}
function Update () {
myTransform.LookAt(playerTransform);
myTransform.position += myTransform.forward * speed * Time.deltaTime;
}
Transcendental functions (Mathf.Sin, Mathf.Pow, etc), Division, and Square Root all take about 100x the time of a multiplication. (In the grand scheme of things, no time at all, but if you are calling them thousands of times per frame it can add up).
The most common case of this is vector normalization. If you are normalizing the same vector over and over, consider normalizing it once instead and caching the result for use later.
If you are both using the length of a vector and normalizing it, it would be faster to obtain the normalized vector by multiplying the vector by the reciprocal of the length rather than by using the .normalized property.
If you are comparing distances, you don’t have to compare the actual distances. You can compare the squares of the distances instead by using the .sqrMagnitude property and save a square root or two.
Another one, if you are dividing over and over by a constant c, you can multiply by the reciprocal instead. Calculate the reciprocal first by doing 1.0/c.
If you have to do something expensive, you might be able to optimize it by doing it less often and caching the result. For example, consider a projectile script that uses Raycast:
// Bullet.js
var speed = 5.0;
function FixedUpdate () {
var distanceThisFrame = speed * Time.fixedDeltaTime;
var hit : RaycastHit;
// every frame, we cast a ray forward from where we are to where we will be next frame
if(Physics.Raycast(transform.position, transform.forward, hit, distanceThisFrame)) {
// Do hit
} else {
transform.position += transform.forward * distanceThisFrame;
}
}
Right away, we could improve the script by replacing FixedUpdate with Update and fixedDeltaTime with deltaTime. FixedUpdate refers to the Physics update, which happens more often than the frame update. But let’s go even further by only raycasting every n seconds. A smaller n gives greater temporal resolution, and a bigger n gives better performance. The bigger and slower your targets are, the bigger n can be before temporal aliasing occurs. (Appearance of latency, where the player hit the target, but the explosion appears where the target used to be n seconds ago, or the player hit the target, but the projectile goes right through).
// BulletOptimized.js
var speed = 5.0;
var interval = 0.4; // this is 'n', in seconds.
private var begin : Vector3;
private var timer = 0.0;
private var hasHit = false;
private var timeTillImpact = 0.0;
private var hit : RaycastHit;
// set up initial interval
function Start () {
begin = transform.position;
timer = interval+1;
}
function Update () {
// don't allow an interval smaller than the frame.
var usedInterval = interval;
if(Time.deltaTime > usedInterval) usedInterval = Time.deltaTime;
// every interval, we cast a ray forward from where we were at the start of this interval
// to where we will be at the start of the next interval
if(!hasHit && timer >= usedInterval) {
timer = 0;
var distanceThisInterval = speed * usedInterval;
if(Physics.Raycast(begin, transform.forward, hit, distanceThisInterval)) {
hasHit = true;
if(speed != 0) timeTillImpact = hit.distance / speed;
}
begin += transform.forward * distanceThisInterval;
}
timer += Time.deltaTime;
// after the Raycast hit something, wait until the bullet has traveled
// about as far as the ray traveled to do the actual hit
if(hasHit && timer > timeTillImpact) {
// Do hit
} else {
transform.position += transform.forward * speed * Time.deltaTime;
}
}
Just calling a function has a little bit of overhead in itself. If you are calling things like x = Mathf.Abs(x) thousands of times per frame, it might be better to just do x = (x > 0 ? x : -x); instead.
The NVIDIA PhysX physics engineA system that simulates aspects of physical systems so that objects can accelerate correctly and be affected by collisions, gravity and other forces. More info
See in Glossary used by Unity is available on mobiles, but the performance limits of the hardware will be reached more easily on mobile platforms than desktops.
Here are some tips for tuning physics to get better performance on mobiles:-
Did you find this page useful? Please give it a rating: