bevy/crates/bevy_ecs
Periwink ec4cf024f8
Add a ComponentIndex and update QueryState creation/update to use it (#13460)
# Objective

To implement relations we will need to add a `ComponentIndex`, which is
a map from a Component to the list of archetypes that contain this
component.
One of the reasons is that with fragmenting relations the number of
archetypes will explode, so it will become inefficient to create and
update the query caches by iterating through the list of all archetypes.

In this PR, we introduce the `ComponentIndex`, and we update the
`QueryState` to make use of it:
- if a query has at least 1 required component (i.e. something other
than `()`, `Entity` or `Option<>`, etc.): for each of the required
components we find the list of archetypes that contain it (using the
ComponentIndex). Then, we select the smallest list among these. This
gives a small subset of archetypes to iterate through compared with
iterating through all new archetypes
- if it doesn't, then we keep using the current approach of iterating
through all new archetypes


# Implementation
- This breaks query iteration order, in the sense that we are not
guaranteed anymore to return results in the order in which the
archetypes were created. I think this should be fine because this wasn't
an explicit bevy guarantee so users should not be relying on this. I
updated a bunch of unit tests that were failing because of this.

- I had an issue with the borrow checker because iterating the list of
potential archetypes requires access to `&state.component_access`, which
was conflicting with the calls to
```
  if state.new_archetype_internal(archetype) {
      state.update_archetype_component_access(archetype, access);
  }
```
which need a mutable access to the state.

The solution I chose was to introduce a `QueryStateView` which is a
temporary view into the `QueryState` which enables a "split-borrows"
kind of approach. It is described in detail in this blog post:
https://smallcultfollowing.com/babysteps/blog/2018/11/01/after-nll-interprocedural-conflicts/

# Test

The unit tests pass.

Benchmark results:
```
❯ critcmp main pr
group                                  main                                   pr
-----                                  ----                                   --
iter_fragmented/base                   1.00   342.2±25.45ns        ? ?/sec    1.02   347.5±16.24ns        ? ?/sec
iter_fragmented/foreach                1.04   165.4±11.29ns        ? ?/sec    1.00    159.5±4.27ns        ? ?/sec
iter_fragmented/foreach_wide           1.03      3.3±0.04µs        ? ?/sec    1.00      3.2±0.06µs        ? ?/sec
iter_fragmented/wide                   1.03      3.1±0.06µs        ? ?/sec    1.00      3.0±0.08µs        ? ?/sec
iter_fragmented_sparse/base            1.00      6.5±0.14ns        ? ?/sec    1.02      6.6±0.08ns        ? ?/sec
iter_fragmented_sparse/foreach         1.00      6.3±0.08ns        ? ?/sec    1.04      6.6±0.08ns        ? ?/sec
iter_fragmented_sparse/foreach_wide    1.00     43.8±0.15ns        ? ?/sec    1.02     44.6±0.53ns        ? ?/sec
iter_fragmented_sparse/wide            1.00     29.8±0.44ns        ? ?/sec    1.00     29.8±0.26ns        ? ?/sec
iter_simple/base                       1.00      8.2±0.10µs        ? ?/sec    1.00      8.2±0.09µs        ? ?/sec
iter_simple/foreach                    1.00      3.8±0.02µs        ? ?/sec    1.02      3.9±0.03µs        ? ?/sec
iter_simple/foreach_sparse_set         1.00     19.0±0.26µs        ? ?/sec    1.01     19.3±0.16µs        ? ?/sec
iter_simple/foreach_wide               1.00     17.8±0.24µs        ? ?/sec    1.00     17.9±0.31µs        ? ?/sec
iter_simple/foreach_wide_sparse_set    1.06     95.6±6.23µs        ? ?/sec    1.00     90.6±0.59µs        ? ?/sec
iter_simple/sparse_set                 1.00     19.3±1.63µs        ? ?/sec    1.01     19.5±0.29µs        ? ?/sec
iter_simple/system                     1.00      8.1±0.10µs        ? ?/sec    1.00      8.1±0.09µs        ? ?/sec
iter_simple/wide                       1.05     37.7±2.53µs        ? ?/sec    1.00     35.8±0.57µs        ? ?/sec
iter_simple/wide_sparse_set            1.00     95.7±1.62µs        ? ?/sec    1.00     95.9±0.76µs        ? ?/sec
par_iter_simple/with_0_fragment        1.04     35.0±2.51µs        ? ?/sec    1.00     33.7±0.49µs        ? ?/sec
par_iter_simple/with_1000_fragment     1.00     50.4±2.52µs        ? ?/sec    1.01     51.0±3.84µs        ? ?/sec
par_iter_simple/with_100_fragment      1.02     40.3±2.23µs        ? ?/sec    1.00     39.5±1.32µs        ? ?/sec
par_iter_simple/with_10_fragment       1.14     38.8±7.79µs        ? ?/sec    1.00     34.0±0.78µs        ? ?/sec
```
2024-08-06 00:57:15 +00:00
..
compile_fail Specify test group names in github summary for compile fail tests (#14330) 2024-07-15 16:13:03 +00:00
examples Fix uses of "it's" vs "its". (#13033) 2024-04-19 18:17:31 +00:00
macros Generate links to definition in source code pages on docs.rs and dev-docs.bevyengine.org (#12965) 2024-07-29 23:10:16 +00:00
src Add a ComponentIndex and update QueryState creation/update to use it (#13460) 2024-08-06 00:57:15 +00:00
Cargo.toml Track source location in change detection (#14034) 2024-07-30 12:02:38 +00:00
README.md Generalised ECS reactivity with Observers (#10839) 2024-06-15 01:33:26 +00:00

Bevy ECS

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What is Bevy ECS?

Bevy ECS is an Entity Component System custom-built for the Bevy game engine. It aims to be simple to use, ergonomic, fast, massively parallel, opinionated, and featureful. It was created specifically for Bevy's needs, but it can easily be used as a standalone crate in other projects.

ECS

All app logic in Bevy uses the Entity Component System paradigm, which is often shortened to ECS. ECS is a software pattern that involves breaking your program up into Entities, Components, and Systems. Entities are unique "things" that are assigned groups of Components, which are then processed using Systems.

For example, one entity might have a Position and Velocity component, whereas another entity might have a Position and UI component. You might have a movement system that runs on all entities with a Position and Velocity component.

The ECS pattern encourages clean, decoupled designs by forcing you to break up your app data and logic into its core components. It also helps make your code faster by optimizing memory access patterns and making parallelism easier.

Concepts

Bevy ECS is Bevy's implementation of the ECS pattern. Unlike other Rust ECS implementations, which often require complex lifetimes, traits, builder patterns, or macros, Bevy ECS uses normal Rust data types for all of these concepts:

Components

Components are normal Rust structs. They are data stored in a World and specific instances of Components correlate to Entities.

use bevy_ecs::prelude::*;

#[derive(Component)]
struct Position { x: f32, y: f32 }

Worlds

Entities, Components, and Resources are stored in a World. Worlds, much like std::collections's HashSet and Vec, expose operations to insert, read, write, and remove the data they store.

use bevy_ecs::world::World;

let world = World::default();

Entities

Entities are unique identifiers that correlate to zero or more Components.

use bevy_ecs::prelude::*;

#[derive(Component)]
struct Position { x: f32, y: f32 }
#[derive(Component)]
struct Velocity { x: f32, y: f32 }

let mut world = World::new();

let entity = world
    .spawn((Position { x: 0.0, y: 0.0 }, Velocity { x: 1.0, y: 0.0 }))
    .id();

let entity_ref = world.entity(entity);
let position = entity_ref.get::<Position>().unwrap();
let velocity = entity_ref.get::<Velocity>().unwrap();

Systems

Systems are normal Rust functions. Thanks to the Rust type system, Bevy ECS can use function parameter types to determine what data needs to be sent to the system. It also uses this "data access" information to determine what Systems can run in parallel with each other.

use bevy_ecs::prelude::*;

#[derive(Component)]
struct Position { x: f32, y: f32 }

fn print_position(query: Query<(Entity, &Position)>) {
    for (entity, position) in &query {
        println!("Entity {:?} is at position: x {}, y {}", entity, position.x, position.y);
    }
}

Resources

Apps often require unique resources, such as asset collections, renderers, audio servers, time, etc. Bevy ECS makes this pattern a first class citizen. Resource is a special kind of component that does not belong to any entity. Instead, it is identified uniquely by its type:

use bevy_ecs::prelude::*;

#[derive(Resource, Default)]
struct Time {
    seconds: f32,
}

let mut world = World::new();

world.insert_resource(Time::default());

let time = world.get_resource::<Time>().unwrap();

// You can also access resources from Systems
fn print_time(time: Res<Time>) {
    println!("{}", time.seconds);
}

The resources.rs example illustrates how to read and write a Counter resource from Systems.

Schedules

Schedules run a set of Systems according to some execution strategy. Systems can be added to any number of System Sets, which are used to control their scheduling metadata.

The built in "parallel executor" considers dependencies between systems and (by default) run as many of them in parallel as possible. This maximizes performance, while keeping the system execution safe. To control the system ordering, define explicit dependencies between systems and their sets.

Using Bevy ECS

Bevy ECS should feel very natural for those familiar with Rust syntax:

use bevy_ecs::prelude::*;

#[derive(Component)]
struct Position { x: f32, y: f32 }
#[derive(Component)]
struct Velocity { x: f32, y: f32 }

// This system moves each entity with a Position and Velocity component
fn movement(mut query: Query<(&mut Position, &Velocity)>) {
    for (mut position, velocity) in &mut query {
        position.x += velocity.x;
        position.y += velocity.y;
    }
}

fn main() {
    // Create a new empty World to hold our Entities and Components
    let mut world = World::new();

    // Spawn an entity with Position and Velocity components
    world.spawn((
        Position { x: 0.0, y: 0.0 },
        Velocity { x: 1.0, y: 0.0 },
    ));

    // Create a new Schedule, which defines an execution strategy for Systems
    let mut schedule = Schedule::default();

    // Add our system to the schedule
    schedule.add_systems(movement);

    // Run the schedule once. If your app has a "loop", you would run this once per loop
    schedule.run(&mut world);
}

Features

Query Filters

use bevy_ecs::prelude::*;

#[derive(Component)]
struct Position { x: f32, y: f32 }
#[derive(Component)]
struct Player;
#[derive(Component)]
struct Alive;

// Gets the Position component of all Entities with Player component and without the Alive
// component. 
fn system(query: Query<&Position, (With<Player>, Without<Alive>)>) {
    for position in &query {
    }
}

Change Detection

Bevy ECS tracks all changes to Components and Resources.

Queries can filter for changed Components:

use bevy_ecs::prelude::*;

#[derive(Component)]
struct Position { x: f32, y: f32 }
#[derive(Component)]
struct Velocity { x: f32, y: f32 }

// Gets the Position component of all Entities whose Velocity has changed since the last run of the System
fn system_changed(query: Query<&Position, Changed<Velocity>>) {
    for position in &query {
    }
}

// Gets the Position component of all Entities that had a Velocity component added since the last run of the System
fn system_added(query: Query<&Position, Added<Velocity>>) {
    for position in &query {
    }
}

Resources also expose change state:

use bevy_ecs::prelude::*;

#[derive(Resource)]
struct Time(f32);

// Prints "time changed!" if the Time resource has changed since the last run of the System
fn system(time: Res<Time>) {
    if time.is_changed() {
        println!("time changed!");
    }
}

The change_detection.rs example shows how to query only for updated entities and react on changes in resources.

Component Storage

Bevy ECS supports multiple component storage types.

Components can be stored in:

  • Tables: Fast and cache friendly iteration, but slower adding and removing of components. This is the default storage type.
  • Sparse Sets: Fast adding and removing of components, but slower iteration.

Component storage types are configurable, and they default to table storage if the storage is not manually defined.

use bevy_ecs::prelude::*;

#[derive(Component)]
struct TableStoredComponent;

#[derive(Component)]
#[component(storage = "SparseSet")]
struct SparseStoredComponent;

Component Bundles

Define sets of Components that should be added together.

use bevy_ecs::prelude::*;

#[derive(Default, Component)]
struct Player;
#[derive(Default, Component)]
struct Position { x: f32, y: f32 }
#[derive(Default, Component)]
struct Velocity { x: f32, y: f32 }

#[derive(Bundle, Default)]
struct PlayerBundle {
    player: Player,
    position: Position,
    velocity: Velocity,
}

let mut world = World::new();

// Spawn a new entity and insert the default PlayerBundle
world.spawn(PlayerBundle::default());

// Bundles play well with Rust's struct update syntax
world.spawn(PlayerBundle {
    position: Position { x: 1.0, y: 1.0 },
    ..Default::default()
});

Events

Events offer a communication channel between one or more systems. Events can be sent using the system parameter EventWriter and received with EventReader.

use bevy_ecs::prelude::*;

#[derive(Event)]
struct MyEvent {
    message: String,
}

fn writer(mut writer: EventWriter<MyEvent>) {
    writer.send(MyEvent {
        message: "hello!".to_string(),
    });
}

fn reader(mut reader: EventReader<MyEvent>) {
    for event in reader.read() {
    }
}

A minimal set up using events can be seen in events.rs.

Observers

Observers are systems that listen for a "trigger" of a specific Event:

use bevy_ecs::prelude::*;

#[derive(Event)]
struct MyEvent {
    message: String
}

let mut world = World::new();

world.observe(|trigger: Trigger<MyEvent>| {
    println!("{}", trigger.event().message);
});

world.flush();

world.trigger(MyEvent {
    message: "hello!".to_string(),
});

These differ from EventReader and EventWriter in that they are "reactive". Rather than happening at a specific point in a schedule, they happen immediately whenever a trigger happens. Triggers can trigger other triggers, and they all will be evaluated at the same time!

Events can also be triggered to target specific entities:

use bevy_ecs::prelude::*;

#[derive(Event)]
struct Explode;

let mut world = World::new();
let entity = world.spawn_empty().id();

world.observe(|trigger: Trigger<Explode>, mut commands: Commands| {
    println!("Entity {:?} goes BOOM!", trigger.entity());
    commands.entity(trigger.entity()).despawn();
});

world.flush();

world.trigger_targets(Explode, entity);