I created this manually as Github didn't want to run CI for the
workflow-generated PR. I'm guessing we didn't hit this in previous
releases because we used bors.
Co-authored-by: Bevy Auto Releaser <41898282+github-actions[bot]@users.noreply.github.com>
# Objective
To upgrade winit's dependency, it's useful to reuse SmolStr, which
replaces/improves the too restrictive Key letter enums.
As Input<Key> is a resource it should implement Reflect through all its
fields.
## Solution
Add smol_str to bevy_reflect supported types, behind a feature flag.
This PR blocks winit's upgrade PR:
https://github.com/bevyengine/bevy/pull/8745.
# Current state
- I'm discovering bevy_reflect, I appreciate all feedbacks, and send me
your nitpicks!
- Lacking more tests
---------
Co-authored-by: Alice Cecile <alice.i.cecile@gmail.com>
Co-authored-by: Gino Valente <49806985+MrGVSV@users.noreply.github.com>
# Objective
- Update `glam` to the latest version.
## Solution
- Update `glam` to version `0.23`.
Since the breaking change in `glam` only affects the `scalar-math` feature, this should cause no issues.
# Objective
This a follow-up to #6894, see https://github.com/bevyengine/bevy/pull/6894#discussion_r1045203113
The goal is to avoid cloning any string when getting a `&TypeRegistration` corresponding to a string which is being deserialized. As a bonus code duplication is also reduced.
## Solution
The manual deserialization of a string and lookup into the type registry has been moved into a separate `TypeRegistrationDeserializer` type, which implements `DeserializeSeed` with a `Visitor` that accepts any string with `visit_str`, even ones that may not live longer than that function call.
`BorrowedStr` has been removed since it's no longer used.
---
## Changelog
- The type `TypeRegistrationDeserializer` has been added, which simplifies getting a `&TypeRegistration` while deserializing a string.
# Objective
Fixes#6891
## Solution
Replaces deserializing map keys as `&str` with deserializing them as `String`.
This bug seems to occur when using something like `File` or `BufReader` rather than bytes or a string directly (I only tested `File` and `BufReader` for `rmp-serde` and `serde_json`). This might be an issue with other `Read` impls as well (except `&[u8]` it seems).
We already had passing tests for Message Pack but none that use a `File` or `BufReader`. This PR also adds or modifies tests to check for this in the future.
This change was also based on [feedback](https://github.com/bevyengine/bevy/pull/4561#discussion_r957385136) I received in a previous PR.
---
## Changelog
- Fix bug where scene deserialization using certain readers could fail (e.g. `BufReader`, `File`, etc.)
# Objective
Closes#5934
Currently it is not possible to de/serialize data to non-self-describing formats using reflection.
## Solution
Add support for non-self-describing de/serialization using reflection.
This allows us to use binary formatters, like [`postcard`](https://crates.io/crates/postcard):
```rust
#[derive(Reflect, FromReflect, Debug, PartialEq)]
struct Foo {
data: String
}
let mut registry = TypeRegistry::new();
registry.register::<Foo>();
let input = Foo {
data: "Hello world!".to_string()
};
// === Serialize! === //
let serializer = ReflectSerializer::new(&input, ®istry);
let bytes: Vec<u8> = postcard::to_allocvec(&serializer).unwrap();
println!("{:?}", bytes); // Output: [129, 217, 61, 98, ...]
// === Deserialize! === //
let deserializer = UntypedReflectDeserializer::new(®istry);
let dynamic_output = deserializer
.deserialize(&mut postcard::Deserializer::from_bytes(&bytes))
.unwrap();
let output = <Foo as FromReflect>::from_reflect(dynamic_output.as_ref()).unwrap();
assert_eq!(expected, output); // OK!
```
#### Crates Tested
- ~~[`rmp-serde`](https://crates.io/crates/rmp-serde)~~ Apparently, this _is_ self-describing
- ~~[`bincode` v2.0.0-rc.1](https://crates.io/crates/bincode/2.0.0-rc.1) (using [this PR](https://github.com/bincode-org/bincode/pull/586))~~ This actually works for the latest release (v1.3.3) of [`bincode`](https://crates.io/crates/bincode) as well. You just need to be sure to use fixed-int encoding.
- [`postcard`](https://crates.io/crates/postcard)
## Future Work
Ideally, we would refactor the `serde` module, but I don't think I'll do that in this PR so as to keep the diff relatively small (and to avoid any painful rebases). This should probably be done once this is merged, though.
Some areas we could improve with a refactor:
* Split deserialization logic across multiple files
* Consolidate helper functions/structs
* Make the logic more DRY
---
## Changelog
- Add support for non-self-describing de/serialization using reflection.
Co-authored-by: Gino Valente <49806985+MrGVSV@users.noreply.github.com>
# Objective
Fixes#6378
`bevy_transform` is missing a feature corresponding to the `serialize` feature on the `bevy` crate.
## Solution
Adds a `serialize` feature to `bevy_transform`.
Derives `serde::Serialize` and `Deserialize` when feature is enabled.
# Objective
Resolves#6197
Make it so that doc comments can be retrieved via reflection.
## Solution
Adds the new `documentation` feature to `bevy_reflect` (disabled by default).
When enabled, documentation can be found using `TypeInfo::doc` for reflected types:
```rust
/// Some struct.
///
/// # Example
///
/// ```ignore
/// let some_struct = SomeStruct;
/// ```
#[derive(Reflect)]
struct SomeStruct;
let info = <SomeStruct as Typed>::type_info();
assert_eq!(
Some(" Some struct.\n\n # Example\n\n ```ignore\n let some_struct = SomeStruct;\n ```"),
info.docs()
);
```
### Notes for Reviewers
The bulk of the files simply added the same 16 lines of code (with slightly different documentation). Most of the real changes occur in the `bevy_reflect_derive` files as well as in the added tests.
---
## Changelog
* Added `documentation` feature to `bevy_reflect`
* Added `TypeInfo::docs` method (and similar methods for all info types)
# Objective
- Update ron to 0.8.0
- Fix breaking changes
- Closes#5862
## Solution
- Removed now non-existing method call (behavior is now the same without it)
# Objective
Promote the `Rect` utility of `sprite::Rect`, which defines a rectangle
by its minimum and maximum corners, to the `bevy_math` crate to make it
available as a general math type to all crates without the need to
depend on the `bevy_sprite` crate.
Fixes#5575
## Solution
Move `sprite::Rect` into `bevy_math` and fix all uses.
Implement `Reflect` for `Rect` directly into the `bevy_reflect` crate by
having `bevy_reflect` depend on `bevy_math`. This looks like a new
dependency, but the `bevy_reflect` was "cheating" for other math types
by directly depending on `glam` to reflect other math types, thereby
giving the illusion that there was no dependency on `bevy_math`. In
practice conceptually Bevy's math types are reflected into the
`bevy_reflect` crate to avoid a dependency of that crate to a "lower
level" utility crate like `bevy_math` (which in turn would make
`bevy_reflect` be a dependency of most other crates, and increase the
risk of circular dependencies). So this change simply formalizes that
dependency in `Cargo.toml`.
The `Rect` struct is also augmented in this change with a collection of
utility methods to improve its usability. A few uses cases are updated
to use those new methods, resulting is more clear and concise syntax.
---
## Changelog
### Changed
- Moved the `sprite::Rect` type into `bevy_math`.
### Added
- Added several utility methods to the `math::Rect` type.
## Migration Guide
The `bevy::sprite::Rect` type moved to the math utility crate as
`bevy::math::Rect`. You should change your imports from `use
bevy::sprite::Rect` to `use bevy::math::Rect`.
# Objective
https://github.com/bevyengine/bevy/pull/4447 adds functions that can fetch resources/components as `*const ()` ptr by providing the `ComponentId`. This alone is not enough for them to be usable safely with reflection, because there is no general way to go from the raw pointer to a `&dyn Reflect` which is the pointer + a pointer to the VTable of the `Reflect` impl.
By adding a `ReflectFromPtr` type that is included in the type type registration when deriving `Reflect`, safe functions can be implemented in scripting languages that don't assume a type layout and can access the component data via reflection:
```rust
#[derive(Reflect)]
struct StringResource {
value: String
}
```
```lua
local res_id = world:resource_id_by_name("example::StringResource")
local res = world:resource(res_id)
print(res.value)
```
## Solution
1. add a `ReflectFromPtr` type with a `FromType<T: Reflect>` implementation and the following methods:
- ` pub unsafe fn as_reflect_ptr<'a>(&self, val: Ptr<'a>) -> &'a dyn Reflect`
- ` pub unsafe fn as_reflect_ptr_mut<'a>(&self, val: PtrMut<'a>) -> &'a mud dyn Reflect`
Safety requirements of the methods are that you need to check that the `ReflectFromPtr` was constructed for the correct type.
2. add that type to the `TypeRegistration` in the `GetTypeRegistration` impl generated by `#[derive(Reflect)]`.
This is different to other reflected traits because it doesn't need `#[reflect(ReflectReflectFromPtr)]` which IMO should be there by default.
Co-authored-by: Jakob Hellermann <hellermann@sipgate.de>
Co-authored-by: Carter Anderson <mcanders1@gmail.com>
Removed `const_vec2`/`const_vec3`
and replaced with equivalent `.from_array`.
# Objective
Fixes#5112
## Solution
- `encase` needs to update to `glam` as well. See teoxoy/encase#4 on progress on that.
- `hexasphere` also needs to be updated, see OptimisticPeach/hexasphere#12.
# Objective
- Update hashbrown to 0.12
## Solution
- Replace #4004
- As the 0.12 is already in Bevy dependency tree, it shouldn't be an issue to update
- The exception for the 0.11 should be removed once https://github.com/zakarumych/gpu-descriptor/pull/21 is merged and released
- Also removed a few exceptions that weren't needed anymore
# Objective
> Resolves#4504
It can be helpful to have access to type information without requiring an instance of that type. Especially for `Reflect`, a lot of the gathered type information is known at compile-time and should not necessarily require an instance.
## Solution
Created a dedicated `TypeInfo` enum to store static type information. All types that derive `Reflect` now also implement the newly created `Typed` trait:
```rust
pub trait Typed: Reflect {
fn type_info() -> &'static TypeInfo;
}
```
> Note: This trait was made separate from `Reflect` due to `Sized` restrictions.
If you only have access to a `dyn Reflect`, just call `.get_type_info()` on it. This new trait method on `Reflect` should return the same value as if you had called it statically.
If all you have is a `TypeId` or type name, you can get the `TypeInfo` directly from the registry using the `TypeRegistry::get_type_info` method (assuming it was registered).
### Usage
Below is an example of working with `TypeInfo`. As you can see, we don't have to generate an instance of `MyTupleStruct` in order to get this information.
```rust
#[derive(Reflect)]
struct MyTupleStruct(usize, i32, MyStruct);
let info = MyTupleStruct::type_info();
if let TypeInfo::TupleStruct(info) = info {
assert!(info.is::<MyTupleStruct>());
assert_eq!(std::any::type_name::<MyTupleStruct>(), info.type_name());
assert!(info.field_at(1).unwrap().is::<i32>());
} else {
panic!("Expected `TypeInfo::TupleStruct`");
}
```
### Manual Implementations
It's not recommended to manually implement `Typed` yourself, but if you must, you can use the `TypeInfoCell` to automatically create and manage the static `TypeInfo`s for you (which is very helpful for blanket/generic impls):
```rust
use bevy_reflect::{Reflect, TupleStructInfo, TypeInfo, UnnamedField};
use bevy_reflect::utility::TypeInfoCell;
struct Foo<T: Reflect>(T);
impl<T: Reflect> Typed for Foo<T> {
fn type_info() -> &'static TypeInfo {
static CELL: TypeInfoCell = TypeInfoCell::generic();
CELL.get_or_insert::<Self, _>(|| {
let fields = [UnnamedField:🆕:<T>()];
let info = TupleStructInfo:🆕:<Self>(&fields);
TypeInfo::TupleStruct(info)
})
}
}
```
## Benefits
One major benefit is that this opens the door to other serialization methods. Since we can get all the type info at compile time, we can know how to properly deserialize something like:
```rust
#[derive(Reflect)]
struct MyType {
foo: usize,
bar: Vec<String>
}
// RON to be deserialized:
(
type: "my_crate::MyType", // <- We now know how to deserialize the rest of this object
value: {
// "foo" is a value type matching "usize"
"foo": 123,
// "bar" is a list type matching "Vec<String>" with item type "String"
"bar": ["a", "b", "c"]
}
)
```
Not only is this more compact, but it has better compatibility (we can change the type of `"foo"` to `i32` without having to update our serialized data).
Of course, serialization/deserialization strategies like this may need to be discussed and fully considered before possibly making a change. However, we will be better equipped to do that now that we can access type information right from the registry.
## Discussion
Some items to discuss:
1. Duplication. There's a bit of overlap with the existing traits/structs since they require an instance of the type while the type info structs do not (for example, `Struct::field_at(&self, index: usize)` and `StructInfo::field_at(&self, index: usize)`, though only `StructInfo` is accessible without an instance object). Is this okay, or do we want to handle it in another way?
2. Should `TypeInfo::Dynamic` be removed? Since the dynamic types don't have type information available at runtime, we could consider them `TypeInfo::Value`s (or just even just `TypeInfo::Struct`). The intention with `TypeInfo::Dynamic` was to keep the distinction from these dynamic types and actual structs/values since users might incorrectly believe the methods of the dynamic type's info struct would map to some contained data (which isn't possible statically).
4. General usefulness of this change, including missing/unnecessary parts.
5. Possible changes to the scene format? (One possible issue with changing it like in the example above might be that we'd have to be careful when handling generic or trait object types.)
## Compile Tests
I ran a few tests to compare compile times (as suggested [here](https://github.com/bevyengine/bevy/pull/4042#discussion_r876408143)). I toggled `Reflect` and `FromReflect` derive macros using `cfg_attr` for both this PR (aa5178e773) and main (c309acd432).
<details>
<summary>See More</summary>
The test project included 250 of the following structs (as well as a few other structs):
```rust
#[derive(Default)]
#[cfg_attr(feature = "reflect", derive(Reflect))]
#[cfg_attr(feature = "from_reflect", derive(FromReflect))]
pub struct Big001 {
inventory: Inventory,
foo: usize,
bar: String,
baz: ItemDescriptor,
items: [Item; 20],
hello: Option<String>,
world: HashMap<i32, String>,
okay: (isize, usize, /* wesize */),
nope: ((String, String), (f32, f32)),
blah: Cow<'static, str>,
}
```
> I don't know if the compiler can optimize all these duplicate structs away, but I think it's fine either way. We're comparing times, not finding the absolute worst-case time.
I only ran each build 3 times using `cargo build --timings` (thank you @devil-ira), each of which were preceeded by a `cargo clean --package bevy_reflect_compile_test`.
Here are the times I got:
| Test | Test 1 | Test 2 | Test 3 | Average |
| -------------------------------- | ------ | ------ | ------ | ------- |
| Main | 1.7s | 3.1s | 1.9s | 2.33s |
| Main + `Reflect` | 8.3s | 8.6s | 8.1s | 8.33s |
| Main + `Reflect` + `FromReflect` | 11.6s | 11.8s | 13.8s | 12.4s |
| PR | 3.5s | 1.8s | 1.9s | 2.4s |
| PR + `Reflect` | 9.2s | 8.8s | 9.3s | 9.1s |
| PR + `Reflect` + `FromReflect` | 12.9s | 12.3s | 12.5s | 12.56s |
</details>
---
## Future Work
Even though everything could probably be made `const`, we unfortunately can't. This is because `TypeId::of::<T>()` is not yet `const` (see https://github.com/rust-lang/rust/issues/77125). When it does get stabilized, it would probably be worth coming back and making things `const`.
Co-authored-by: MrGVSV <49806985+MrGVSV@users.noreply.github.com>
For some keys, it is too expensive to hash them on every lookup. Historically in Bevy, we have regrettably done the "wrong" thing in these cases (pre-computing hashes, then re-hashing them) because Rust's built in hashed collections don't give us the tools we need to do otherwise. Doing this is "wrong" because two different values can result in the same hash. Hashed collections generally get around this by falling back to equality checks on hash collisions. You can't do that if the key _is_ the hash. Additionally, re-hashing a hash increase the odds of collision!
#3959 needs pre-hashing to be viable, so I decided to finally properly solve the problem. The solution involves two different changes:
1. A new generalized "pre-hashing" solution in bevy_utils: `Hashed<T>` types, which store a value alongside a pre-computed hash. And `PreHashMap<K, V>` (which uses `Hashed<T>` internally) . `PreHashMap` is just an alias for a normal HashMap that uses `Hashed<T>` as the key and a new `PassHash` implementation as the Hasher.
2. Replacing the `std::collections` re-exports in `bevy_utils` with equivalent `hashbrown` impls. Avoiding re-hashes requires the `raw_entry_mut` api, which isn't stabilized yet (and may never be ... `entry_ref` has favor now, but also isn't available yet). If std's HashMap ever provides the tools we need, we can move back to that. The latest version of `hashbrown` adds support for the `entity_ref` api, so we can move to that in preparation for an std migration, if thats the direction they seem to be going in. Note that adding hashbrown doesn't increase our dependency count because it was already in our tree.
In addition to providing these core tools, I also ported the "table identity hashing" in `bevy_ecs` to `raw_entry_mut`, which was a particularly egregious case.
The biggest outstanding case is `AssetPathId`, which stores a pre-hash. We need AssetPathId to be cheaply clone-able (and ideally Copy), but `Hashed<AssetPath>` requires ownership of the AssetPath, which makes cloning ids way more expensive. We could consider doing `Hashed<Arc<AssetPath>>`, but cloning an arc is still a non-trivial expensive that needs to be considered. I would like to handle this in a separate PR. And given that we will be re-evaluating the Bevy Assets implementation in the very near future, I'd prefer to hold off until after that conversation is concluded.
# Objective
- there are a few new versions for `ron`, `winit`, `ndk`, `raw-window-handle`
- `cargo-deny` is failing due to new security issues / duplicated dependencies
## Solution
- Update our dependencies
- Note all new security issues, with which of Bevy direct dependency it comes from
- Update duplicate crate list, with which of Bevy direct dependency it comes from
`notify` is not updated here as it's in #2993
# Objective
- Update vendor crevice to have the latest update from crevice 0.8.0
- Using https://github.com/ElectronicRU/crevice/tree/arrays which has the changes to make arrays work
## Solution
- Also updated glam and hexasphere to only have one version of glam
- From the original PR, using crevice to write GLSL code containing arrays would probably not work but it's not something used by Bevy
Objective
During work on #3009 I've found that not all jobs use actions-rs, and therefore, an previous version of Rust is used for them. So while compilation and other stuff can pass, checking markup and Android build may fail with compilation errors.
Solution
This PR adds `action-rs` for any job running cargo, and updates the edition to 2021.
Updates the requirements on [glam](https://github.com/bitshifter/glam-rs) to permit the latest version.
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a href="https://github.com/bitshifter/glam-rs/blob/main/CHANGELOG.md">glam's changelog</a>.</em></p>
<blockquote>
<h2>[0.18.0] - 2021-08-26</h2>
<h3>Breaking changes</h3>
<ul>
<li>Minimum Supported Version of Rust bumped to 1.51.0 for <code>wasm-bindgen-test</code>
and <code>rustdoc</code> <code>alias</code> support.</li>
</ul>
<h3>Added</h3>
<ul>
<li>Added <code>wasm32</code> SIMD intrinsics support.</li>
<li>Added optional support for the <code>rkyv</code> serialization crate.</li>
<li>Added <code>Rem</code> and <code>RemAssign</code> implementations for all vector types.</li>
<li>Added quaternion <code>xyz()</code> method for returning the vector part of the
quaternion.</li>
<li>Added <code>From((Scalar, Vector3))</code> for 4D vector types.</li>
</ul>
<h3>Changed</h3>
<ul>
<li>Deprecated <code>as_f32()</code>, <code>as_f64()</code>, <code>as_i32()</code> and <code>as_u32()</code> methods in favor
of more specific methods such as <code>as_vec2()</code>, <code>as_dvec2()</code>, <code>as_ivec2()</code> and
<code>as_uvec2()</code> and so on.</li>
</ul>
<h2>[0.17.3] - 2021-07-18</h2>
<h3>Fixed</h3>
<ul>
<li>Fix alignment unit tests on non x86 platforms.</li>
</ul>
<h2>[0.17.2] - 2021-07-15</h2>
<h3>Fixed</h3>
<ul>
<li>Fix alignment unit tests on i686 and S390x.</li>
</ul>
<h2>[0.17.1] - 2021-06-29</h2>
<h3>Added</h3>
<ul>
<li>Added <code>serde</code> support for <code>Affine2</code>, <code>DAffine2</code>, <code>Affine3A</code> and <code>DAffine3</code>.</li>
</ul>
<h2>[0.17.0] - 2021-06-26</h2>
<h3>Breaking changes</h3>
<ul>
<li>The addition of <code>Add</code> and <code>Sub</code> implementations of scalar values for vector
types may create ambiguities with existing calls to <code>add</code> and <code>sub</code>.</li>
<li>Removed <code>From<Mat3></code> implementation for <code>Mat2</code> and <code>From<DMat3></code> for <code>DMat2</code>.
These have been replaced by <code>Mat2::from_mat3()</code> and <code>DMat2::from_mat3()</code>.</li>
<li>Removed <code>From<Mat4></code> implementation for <code>Mat3</code> and <code>From<DMat4></code> for <code>DMat3</code>.
These have been replaced by <code>Mat3::from_mat4()</code> and <code>DMat3::from_mat4()</code>.</li>
</ul>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a href="1b703518e7"><code>1b70351</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/bitshifter/glam-rs/issues/231">#231</a> from bitshifter/prepare-0.18.0</li>
<li><a href="935ad5cf64"><code>935ad5c</code></a> Prepare 0.18.0 release.</li>
<li><a href="8d79d8e907"><code>8d79d8e</code></a> Still managed to mess up the tarpaulin config...</li>
<li><a href="78c30fc72c"><code>78c30fc</code></a> Fix syntax error in tarpaulin config.</li>
<li><a href="0258ce710d"><code>0258ce7</code></a> Can use rustdoc alias after msrv bump to 1.51.0.</li>
<li><a href="f9f7f2407c"><code>f9f7f24</code></a> Tidy up tarpaulin exlcudes.</li>
<li><a href="95dab216e1"><code>95dab21</code></a> Make some dev deps wasm only on not wasm.</li>
<li><a href="342176dde9"><code>342176d</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/bitshifter/glam-rs/issues/230">#230</a> from DJMcNab/bytemuck-spirv</li>
<li><a href="837e5ebf7f"><code>837e5eb</code></a> Bytemuck now compiles on spirv</li>
<li><a href="bb35b1a691"><code>bb35b1a</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/bitshifter/glam-rs/issues/228">#228</a> from bitshifter/wasm32-simd</li>
<li>Additional commits viewable in <a href="https://github.com/bitshifter/glam-rs/compare/0.17.3...0.18.0">compare view</a></li>
</ul>
</details>
<br />
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</details>
Updates the requirements on [glam](https://github.com/bitshifter/glam-rs) to permit the latest version.
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a href="https://github.com/bitshifter/glam-rs/blob/master/CHANGELOG.md">glam's changelog</a>.</em></p>
<blockquote>
<h2>[0.17.3] - 2021-07-18</h2>
<h3>Fixed</h3>
<ul>
<li>Fix alignment unit tests on non x86 platforms.</li>
</ul>
<h2>[0.17.2] - 2021-07-15</h2>
<h3>Fixed</h3>
<ul>
<li>Fix alignment unit tests on i686 and S390x.</li>
</ul>
<h2>[0.17.1] - 2021-06-29</h2>
<h3>Added</h3>
<ul>
<li>Added <code>serde</code> support for <code>Affine2</code>, <code>DAffine2</code>, <code>Affine3A</code> and <code>DAffine3</code>.</li>
</ul>
<h2>[0.17.0] - 2021-06-26</h2>
<h3>Breaking changes</h3>
<ul>
<li>The addition of <code>Add</code> and <code>Sub</code> implementations of scalar values for vector
types may create ambiguities with existing calls to <code>add</code> and <code>sub</code>.</li>
<li>Removed <code>From<Mat3></code> implementation for <code>Mat2</code> and <code>From<DMat3></code> for <code>DMat2</code>.
These have been replaced by <code>Mat2::from_mat3()</code> and <code>DMat2::from_mat3()</code>.</li>
<li>Removed <code>From<Mat4></code> implementation for <code>Mat3</code> and <code>From<DMat4></code> for <code>DMat3</code>.
These have been replaced by <code>Mat3::from_mat4()</code> and <code>DMat3::from_mat4()</code>.</li>
<li>Removed deprecated <code>from_slice_unaligned()</code>, <code>write_to_slice_unaligned()</code>,
<code>from_rotation_mat4</code> and <code>from_rotation_ypr()</code> methods.</li>
</ul>
<h3>Added</h3>
<ul>
<li>Added <code>col_mut()</code> method which returns a mutable reference to a matrix column
to all matrix types.</li>
<li>Added <code>AddAssign</code>, <code>MulAssign</code> and <code>SubAssign</code> implementations for all matrix
types.</li>
<li>Added <code>Add</code> and <code>Sub</code> implementations of scalar values for vector types.</li>
<li>Added more <code>glam_assert!</code> checks and documented methods where they are used.</li>
<li>Added vector projection and rejection methods <code>project_onto()</code>,
<code>project_onto_normalized()</code>, <code>reject_from()</code> and <code>reject_from_normalized()</code>.</li>
<li>Added <code>Mat2::from_mat3()</code>, <code>DMat2::from_mat3()</code>, <code>Mat3::from_mat4()</code>,
<code>DMat3::from_mat4()</code> which create a smaller matrix from a larger one,
discarding a final row and column of the input matrix.</li>
<li>Added <code>Mat3::from_mat2()</code>, <code>DMat3::from_mat2()</code>, <code>Mat4::from_mat3()</code> and
<code>DMat4::from_mat3()</code> which create an affine transform from a smaller linear
transform matrix.</li>
</ul>
<h3>Changed</h3>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a href="ecf3904b2f"><code>ecf3904</code></a> Prepare release 0.17.3</li>
<li><a href="95e02bb43e"><code>95e02bb</code></a> Merge branch 'master' of github.com:bitshifter/glam-rs</li>
<li><a href="c6dc702583"><code>c6dc702</code></a> More alignment test fixes for when SSE2 is not avaialable.</li>
<li><a href="87a3b25872"><code>87a3b25</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/bitshifter/glam-rs/issues/216">#216</a> from bitshifter/prepare-0.17.2</li>
<li><a href="269e514090"><code>269e514</code></a> Prepare for 0.17.2 release.</li>
<li><a href="1da7d6459c"><code>1da7d64</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/bitshifter/glam-rs/issues/215">#215</a> from bitshifter/issue-213</li>
<li><a href="dc60e20925"><code>dc60e20</code></a> Fix align asserts on i686 and S390x architectures.</li>
<li><a href="bd8b30e9fb"><code>bd8b30e</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/bitshifter/glam-rs/issues/212">#212</a> from remilauzier/master</li>
<li><a href="a4e97c0b54"><code>a4e97c0</code></a> Update approx to 0.5</li>
<li><a href="059f619525"><code>059f619</code></a> Prepare 0.17.1 release (<a href="https://github-redirect.dependabot.com/bitshifter/glam-rs/issues/211">#211</a>)</li>
<li>Additional commits viewable in <a href="https://github.com/bitshifter/glam-rs/compare/0.15.1...0.17.3">compare view</a></li>
</ul>
</details>
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</details>
This relicenses Bevy under the dual MIT or Apache-2.0 license. For rationale, see #2373.
* Changes the LICENSE file to describe the dual license. Moved the MIT license to docs/LICENSE-MIT. Added the Apache-2.0 license to docs/LICENSE-APACHE. I opted for this approach over dumping both license files at the root (the more common approach) for a number of reasons:
* Github links to the "first" license file (LICENSE-APACHE) in its license links (you can see this in the wgpu and rust-analyzer repos). People clicking these links might erroneously think that the apache license is the only option. Rust and Amethyst both use COPYRIGHT or COPYING files to solve this problem, but this creates more file noise (if you do everything at the root) and the naming feels way less intuitive.
* People have a reflex to look for a LICENSE file. By providing a single license file at the root, we make it easy for them to understand our licensing approach.
* I like keeping the root clean and noise free
* There is precedent for putting the apache and mit license text in sub folders (amethyst)
* Removed the `Copyright (c) 2020 Carter Anderson` copyright notice from the MIT license. I don't care about this attribution, it might make license compliance more difficult in some cases, and it didn't properly attribute other contributors. We shoudn't replace it with something like "Copyright (c) 2021 Bevy Contributors" because "Bevy Contributors" is not a legal entity. Instead, we just won't include the copyright line (which has precedent ... Rust also uses this approach).
* Updates crates to use the new "MIT OR Apache-2.0" license value
* Removes the old legion-transform license file from bevy_transform. bevy_transform has been its own, fully custom implementation for a long time and that license no longer applies.
* Added a License section to the main readme
* Updated our Bevy Plugin licensing guidelines.
As a follow-up we should update the website to properly describe the new license.
Closes#2373
# Bevy ECS V2
This is a rewrite of Bevy ECS (basically everything but the new executor/schedule, which are already awesome). The overall goal was to improve the performance and versatility of Bevy ECS. Here is a quick bulleted list of changes before we dive into the details:
* Complete World rewrite
* Multiple component storage types:
* Tables: fast cache friendly iteration, slower add/removes (previously called Archetypes)
* Sparse Sets: fast add/remove, slower iteration
* Stateful Queries (caches query results for faster iteration. fragmented iteration is _fast_ now)
* Stateful System Params (caches expensive operations. inspired by @DJMcNab's work in #1364)
* Configurable System Params (users can set configuration when they construct their systems. once again inspired by @DJMcNab's work)
* Archetypes are now "just metadata", component storage is separate
* Archetype Graph (for faster archetype changes)
* Component Metadata
* Configure component storage type
* Retrieve information about component size/type/name/layout/send-ness/etc
* Components are uniquely identified by a densely packed ComponentId
* TypeIds are now totally optional (which should make implementing scripting easier)
* Super fast "for_each" query iterators
* Merged Resources into World. Resources are now just a special type of component
* EntityRef/EntityMut builder apis (more efficient and more ergonomic)
* Fast bitset-backed `Access<T>` replaces old hashmap-based approach everywhere
* Query conflicts are determined by component access instead of archetype component access (to avoid random failures at runtime)
* With/Without are still taken into account for conflicts, so this should still be comfy to use
* Much simpler `IntoSystem` impl
* Significantly reduced the amount of hashing throughout the ecs in favor of Sparse Sets (indexed by densely packed ArchetypeId, ComponentId, BundleId, and TableId)
* Safety Improvements
* Entity reservation uses a normal world reference instead of unsafe transmute
* QuerySets no longer transmute lifetimes
* Made traits "unsafe" where relevant
* More thorough safety docs
* WorldCell
* Exposes safe mutable access to multiple resources at a time in a World
* Replaced "catch all" `System::update_archetypes(world: &World)` with `System::new_archetype(archetype: &Archetype)`
* Simpler Bundle implementation
* Replaced slow "remove_bundle_one_by_one" used as fallback for Commands::remove_bundle with fast "remove_bundle_intersection"
* Removed `Mut<T>` query impl. it is better to only support one way: `&mut T`
* Removed with() from `Flags<T>` in favor of `Option<Flags<T>>`, which allows querying for flags to be "filtered" by default
* Components now have is_send property (currently only resources support non-send)
* More granular module organization
* New `RemovedComponents<T>` SystemParam that replaces `query.removed::<T>()`
* `world.resource_scope()` for mutable access to resources and world at the same time
* WorldQuery and QueryFilter traits unified. FilterFetch trait added to enable "short circuit" filtering. Auto impled for cases that don't need it
* Significantly slimmed down SystemState in favor of individual SystemParam state
* System Commands changed from `commands: &mut Commands` back to `mut commands: Commands` (to allow Commands to have a World reference)
Fixes#1320
## `World` Rewrite
This is a from-scratch rewrite of `World` that fills the niche that `hecs` used to. Yes, this means Bevy ECS is no longer a "fork" of hecs. We're going out our own!
(the only shared code between the projects is the entity id allocator, which is already basically ideal)
A huge shout out to @SanderMertens (author of [flecs](https://github.com/SanderMertens/flecs)) for sharing some great ideas with me (specifically hybrid ecs storage and archetype graphs). He also helped advise on a number of implementation details.
## Component Storage (The Problem)
Two ECS storage paradigms have gained a lot of traction over the years:
* **Archetypal ECS**:
* Stores components in "tables" with static schemas. Each "column" stores components of a given type. Each "row" is an entity.
* Each "archetype" has its own table. Adding/removing an entity's component changes the archetype.
* Enables super-fast Query iteration due to its cache-friendly data layout
* Comes at the cost of more expensive add/remove operations for an Entity's components, because all components need to be copied to the new archetype's "table"
* **Sparse Set ECS**:
* Stores components of the same type in densely packed arrays, which are sparsely indexed by densely packed unsigned integers (Entity ids)
* Query iteration is slower than Archetypal ECS because each entity's component could be at any position in the sparse set. This "random access" pattern isn't cache friendly. Additionally, there is an extra layer of indirection because you must first map the entity id to an index in the component array.
* Adding/removing components is a cheap, constant time operation
Bevy ECS V1, hecs, legion, flec, and Unity DOTS are all "archetypal ecs-es". I personally think "archetypal" storage is a good default for game engines. An entity's archetype doesn't need to change frequently in general, and it creates "fast by default" query iteration (which is a much more common operation). It is also "self optimizing". Users don't need to think about optimizing component layouts for iteration performance. It "just works" without any extra boilerplate.
Shipyard and EnTT are "sparse set ecs-es". They employ "packing" as a way to work around the "suboptimal by default" iteration performance for specific sets of components. This helps, but I didn't think this was a good choice for a general purpose engine like Bevy because:
1. "packs" conflict with each other. If bevy decides to internally pack the Transform and GlobalTransform components, users are then blocked if they want to pack some custom component with Transform.
2. users need to take manual action to optimize
Developers selecting an ECS framework are stuck with a hard choice. Select an "archetypal" framework with "fast iteration everywhere" but without the ability to cheaply add/remove components, or select a "sparse set" framework to cheaply add/remove components but with slower iteration performance.
## Hybrid Component Storage (The Solution)
In Bevy ECS V2, we get to have our cake and eat it too. It now has _both_ of the component storage types above (and more can be added later if needed):
* **Tables** (aka "archetypal" storage)
* The default storage. If you don't configure anything, this is what you get
* Fast iteration by default
* Slower add/remove operations
* **Sparse Sets**
* Opt-in
* Slower iteration
* Faster add/remove operations
These storage types complement each other perfectly. By default Query iteration is fast. If developers know that they want to add/remove a component at high frequencies, they can set the storage to "sparse set":
```rust
world.register_component(
ComponentDescriptor:🆕:<MyComponent>(StorageType::SparseSet)
).unwrap();
```
## Archetypes
Archetypes are now "just metadata" ... they no longer store components directly. They do store:
* The `ComponentId`s of each of the Archetype's components (and that component's storage type)
* Archetypes are uniquely defined by their component layouts
* For example: entities with "table" components `[A, B, C]` _and_ "sparse set" components `[D, E]` will always be in the same archetype.
* The `TableId` associated with the archetype
* For now each archetype has exactly one table (which can have no components),
* There is a 1->Many relationship from Tables->Archetypes. A given table could have any number of archetype components stored in it:
* Ex: an entity with "table storage" components `[A, B, C]` and "sparse set" components `[D, E]` will share the same `[A, B, C]` table as an entity with `[A, B, C]` table component and `[F]` sparse set components.
* This 1->Many relationship is how we preserve fast "cache friendly" iteration performance when possible (more on this later)
* A list of entities that are in the archetype and the row id of the table they are in
* ArchetypeComponentIds
* unique densely packed identifiers for (ArchetypeId, ComponentId) pairs
* used by the schedule executor for cheap system access control
* "Archetype Graph Edges" (see the next section)
## The "Archetype Graph"
Archetype changes in Bevy (and a number of other archetypal ecs-es) have historically been expensive to compute. First, you need to allocate a new vector of the entity's current component ids, add or remove components based on the operation performed, sort it (to ensure it is order-independent), then hash it to find the archetype (if it exists). And thats all before we get to the _already_ expensive full copy of all components to the new table storage.
The solution is to build a "graph" of archetypes to cache these results. @SanderMertens first exposed me to the idea (and he got it from @gjroelofs, who came up with it). They propose adding directed edges between archetypes for add/remove component operations. If `ComponentId`s are densely packed, you can use sparse sets to cheaply jump between archetypes.
Bevy takes this one step further by using add/remove `Bundle` edges instead of `Component` edges. Bevy encourages the use of `Bundles` to group add/remove operations. This is largely for "clearer game logic" reasons, but it also helps cut down on the number of archetype changes required. `Bundles` now also have densely-packed `BundleId`s. This allows us to use a _single_ edge for each bundle operation (rather than needing to traverse N edges ... one for each component). Single component operations are also bundles, so this is strictly an improvement over a "component only" graph.
As a result, an operation that used to be _heavy_ (both for allocations and compute) is now two dirt-cheap array lookups and zero allocations.
## Stateful Queries
World queries are now stateful. This allows us to:
1. Cache archetype (and table) matches
* This resolves another issue with (naive) archetypal ECS: query performance getting worse as the number of archetypes goes up (and fragmentation occurs).
2. Cache Fetch and Filter state
* The expensive parts of fetch/filter operations (such as hashing the TypeId to find the ComponentId) now only happen once when the Query is first constructed
3. Incrementally build up state
* When new archetypes are added, we only process the new archetypes (no need to rebuild state for old archetypes)
As a result, the direct `World` query api now looks like this:
```rust
let mut query = world.query::<(&A, &mut B)>();
for (a, mut b) in query.iter_mut(&mut world) {
}
```
Requiring `World` to generate stateful queries (rather than letting the `QueryState` type be constructed separately) allows us to ensure that _all_ queries are properly initialized (and the relevant world state, such as ComponentIds). This enables QueryState to remove branches from its operations that check for initialization status (and also enables query.iter() to take an immutable world reference because it doesn't need to initialize anything in world).
However in systems, this is a non-breaking change. State management is done internally by the relevant SystemParam.
## Stateful SystemParams
Like Queries, `SystemParams` now also cache state. For example, `Query` system params store the "stateful query" state mentioned above. Commands store their internal `CommandQueue`. This means you can now safely use as many separate `Commands` parameters in your system as you want. `Local<T>` system params store their `T` value in their state (instead of in Resources).
SystemParam state also enabled a significant slim-down of SystemState. It is much nicer to look at now.
Per-SystemParam state naturally insulates us from an "aliased mut" class of errors we have hit in the past (ex: using multiple `Commands` system params).
(credit goes to @DJMcNab for the initial idea and draft pr here #1364)
## Configurable SystemParams
@DJMcNab also had the great idea to make SystemParams configurable. This allows users to provide some initial configuration / values for system parameters (when possible). Most SystemParams have no config (the config type is `()`), but the `Local<T>` param now supports user-provided parameters:
```rust
fn foo(value: Local<usize>) {
}
app.add_system(foo.system().config(|c| c.0 = Some(10)));
```
## Uber Fast "for_each" Query Iterators
Developers now have the choice to use a fast "for_each" iterator, which yields ~1.5-3x iteration speed improvements for "fragmented iteration", and minor ~1.2x iteration speed improvements for unfragmented iteration.
```rust
fn system(query: Query<(&A, &mut B)>) {
// you now have the option to do this for a speed boost
query.for_each_mut(|(a, mut b)| {
});
// however normal iterators are still available
for (a, mut b) in query.iter_mut() {
}
}
```
I think in most cases we should continue to encourage "normal" iterators as they are more flexible and more "rust idiomatic". But when that extra "oomf" is needed, it makes sense to use `for_each`.
We should also consider using `for_each` for internal bevy systems to give our users a nice speed boost (but that should be a separate pr).
## Component Metadata
`World` now has a `Components` collection, which is accessible via `world.components()`. This stores mappings from `ComponentId` to `ComponentInfo`, as well as `TypeId` to `ComponentId` mappings (where relevant). `ComponentInfo` stores information about the component, such as ComponentId, TypeId, memory layout, send-ness (currently limited to resources), and storage type.
## Significantly Cheaper `Access<T>`
We used to use `TypeAccess<TypeId>` to manage read/write component/archetype-component access. This was expensive because TypeIds must be hashed and compared individually. The parallel executor got around this by "condensing" type ids into bitset-backed access types. This worked, but it had to be re-generated from the `TypeAccess<TypeId>`sources every time archetypes changed.
This pr removes TypeAccess in favor of faster bitset access everywhere. We can do this thanks to the move to densely packed `ComponentId`s and `ArchetypeComponentId`s.
## Merged Resources into World
Resources had a lot of redundant functionality with Components. They stored typed data, they had access control, they had unique ids, they were queryable via SystemParams, etc. In fact the _only_ major difference between them was that they were unique (and didn't correlate to an entity).
Separate resources also had the downside of requiring a separate set of access controls, which meant the parallel executor needed to compare more bitsets per system and manage more state.
I initially got the "separate resources" idea from `legion`. I think that design was motivated by the fact that it made the direct world query/resource lifetime interactions more manageable. It certainly made our lives easier when using Resources alongside hecs/bevy_ecs. However we already have a construct for safely and ergonomically managing in-world lifetimes: systems (which use `Access<T>` internally).
This pr merges Resources into World:
```rust
world.insert_resource(1);
world.insert_resource(2.0);
let a = world.get_resource::<i32>().unwrap();
let mut b = world.get_resource_mut::<f64>().unwrap();
*b = 3.0;
```
Resources are now just a special kind of component. They have their own ComponentIds (and their own resource TypeId->ComponentId scope, so they don't conflict wit components of the same type). They are stored in a special "resource archetype", which stores components inside the archetype using a new `unique_components` sparse set (note that this sparse set could later be used to implement Tags). This allows us to keep the code size small by reusing existing datastructures (namely Column, Archetype, ComponentFlags, and ComponentInfo). This allows us the executor to use a single `Access<ArchetypeComponentId>` per system. It should also make scripting language integration easier.
_But_ this merge did create problems for people directly interacting with `World`. What if you need mutable access to multiple resources at the same time? `world.get_resource_mut()` borrows World mutably!
## WorldCell
WorldCell applies the `Access<ArchetypeComponentId>` concept to direct world access:
```rust
let world_cell = world.cell();
let a = world_cell.get_resource_mut::<i32>().unwrap();
let b = world_cell.get_resource_mut::<f64>().unwrap();
```
This adds cheap runtime checks (a sparse set lookup of `ArchetypeComponentId` and a counter) to ensure that world accesses do not conflict with each other. Each operation returns a `WorldBorrow<'w, T>` or `WorldBorrowMut<'w, T>` wrapper type, which will release the relevant ArchetypeComponentId resources when dropped.
World caches the access sparse set (and only one cell can exist at a time), so `world.cell()` is a cheap operation.
WorldCell does _not_ use atomic operations. It is non-send, does a mutable borrow of world to prevent other accesses, and uses a simple `Rc<RefCell<ArchetypeComponentAccess>>` wrapper in each WorldBorrow pointer.
The api is currently limited to resource access, but it can and should be extended to queries / entity component access.
## Resource Scopes
WorldCell does not yet support component queries, and even when it does there are sometimes legitimate reasons to want a mutable world ref _and_ a mutable resource ref (ex: bevy_render and bevy_scene both need this). In these cases we could always drop down to the unsafe `world.get_resource_unchecked_mut()`, but that is not ideal!
Instead developers can use a "resource scope"
```rust
world.resource_scope(|world: &mut World, a: &mut A| {
})
```
This temporarily removes the `A` resource from `World`, provides mutable pointers to both, and re-adds A to World when finished. Thanks to the move to ComponentIds/sparse sets, this is a cheap operation.
If multiple resources are required, scopes can be nested. We could also consider adding a "resource tuple" to the api if this pattern becomes common and the boilerplate gets nasty.
## Query Conflicts Use ComponentId Instead of ArchetypeComponentId
For safety reasons, systems cannot contain queries that conflict with each other without wrapping them in a QuerySet. On bevy `main`, we use ArchetypeComponentIds to determine conflicts. This is nice because it can take into account filters:
```rust
// these queries will never conflict due to their filters
fn filter_system(a: Query<&mut A, With<B>>, b: Query<&mut B, Without<B>>) {
}
```
But it also has a significant downside:
```rust
// these queries will not conflict _until_ an entity with A, B, and C is spawned
fn maybe_conflicts_system(a: Query<(&mut A, &C)>, b: Query<(&mut A, &B)>) {
}
```
The system above will panic at runtime if an entity with A, B, and C is spawned. This makes it hard to trust that your game logic will run without crashing.
In this pr, I switched to using `ComponentId` instead. This _is_ more constraining. `maybe_conflicts_system` will now always fail, but it will do it consistently at startup. Naively, it would also _disallow_ `filter_system`, which would be a significant downgrade in usability. Bevy has a number of internal systems that rely on disjoint queries and I expect it to be a common pattern in userspace.
To resolve this, I added a new `FilteredAccess<T>` type, which wraps `Access<T>` and adds with/without filters. If two `FilteredAccess` have with/without values that prove they are disjoint, they will no longer conflict.
## EntityRef / EntityMut
World entity operations on `main` require that the user passes in an `entity` id to each operation:
```rust
let entity = world.spawn((A, )); // create a new entity with A
world.get::<A>(entity);
world.insert(entity, (B, C));
world.insert_one(entity, D);
```
This means that each operation needs to look up the entity location / verify its validity. The initial spawn operation also requires a Bundle as input. This can be awkward when no components are required (or one component is required).
These operations have been replaced by `EntityRef` and `EntityMut`, which are "builder-style" wrappers around world that provide read and read/write operations on a single, pre-validated entity:
```rust
// spawn now takes no inputs and returns an EntityMut
let entity = world.spawn()
.insert(A) // insert a single component into the entity
.insert_bundle((B, C)) // insert a bundle of components into the entity
.id() // id returns the Entity id
// Returns EntityMut (or panics if the entity does not exist)
world.entity_mut(entity)
.insert(D)
.insert_bundle(SomeBundle::default());
{
// returns EntityRef (or panics if the entity does not exist)
let d = world.entity(entity)
.get::<D>() // gets the D component
.unwrap();
// world.get still exists for ergonomics
let d = world.get::<D>(entity).unwrap();
}
// These variants return Options if you want to check existence instead of panicing
world.get_entity_mut(entity)
.unwrap()
.insert(E);
if let Some(entity_ref) = world.get_entity(entity) {
let d = entity_ref.get::<D>().unwrap();
}
```
This _does not_ affect the current Commands api or terminology. I think that should be a separate conversation as that is a much larger breaking change.
## Safety Improvements
* Entity reservation in Commands uses a normal world borrow instead of an unsafe transmute
* QuerySets no longer transmutes lifetimes
* Made traits "unsafe" when implementing a trait incorrectly could cause unsafety
* More thorough safety docs
## RemovedComponents SystemParam
The old approach to querying removed components: `query.removed:<T>()` was confusing because it had no connection to the query itself. I replaced it with the following, which is both clearer and allows us to cache the ComponentId mapping in the SystemParamState:
```rust
fn system(removed: RemovedComponents<T>) {
for entity in removed.iter() {
}
}
```
## Simpler Bundle implementation
Bundles are no longer responsible for sorting (or deduping) TypeInfo. They are just a simple ordered list of component types / data. This makes the implementation smaller and opens the door to an easy "nested bundle" implementation in the future (which i might even add in this pr). Duplicate detection is now done once per bundle type by World the first time a bundle is used.
## Unified WorldQuery and QueryFilter types
(don't worry they are still separate type _parameters_ in Queries .. this is a non-breaking change)
WorldQuery and QueryFilter were already basically identical apis. With the addition of `FetchState` and more storage-specific fetch methods, the overlap was even clearer (and the redundancy more painful).
QueryFilters are now just `F: WorldQuery where F::Fetch: FilterFetch`. FilterFetch requires `Fetch<Item = bool>` and adds new "short circuit" variants of fetch methods. This enables a filter tuple like `(With<A>, Without<B>, Changed<C>)` to stop evaluating the filter after the first mismatch is encountered. FilterFetch is automatically implemented for `Fetch` implementations that return bool.
This forces fetch implementations that return things like `(bool, bool, bool)` (such as the filter above) to manually implement FilterFetch and decide whether or not to short-circuit.
## More Granular Modules
World no longer globs all of the internal modules together. It now exports `core`, `system`, and `schedule` separately. I'm also considering exporting `core` submodules directly as that is still pretty "glob-ey" and unorganized (feedback welcome here).
## Remaining Draft Work (to be done in this pr)
* ~~panic on conflicting WorldQuery fetches (&A, &mut A)~~
* ~~bevy `main` and hecs both currently allow this, but we should protect against it if possible~~
* ~~batch_iter / par_iter (currently stubbed out)~~
* ~~ChangedRes~~
* ~~I skipped this while we sort out #1313. This pr should be adapted to account for whatever we land on there~~.
* ~~The `Archetypes` and `Tables` collections use hashes of sorted lists of component ids to uniquely identify each archetype/table. This hash is then used as the key in a HashMap to look up the relevant ArchetypeId or TableId. (which doesn't handle hash collisions properly)~~
* ~~It is currently unsafe to generate a Query from "World A", then use it on "World B" (despite the api claiming it is safe). We should probably close this gap. This could be done by adding a randomly generated WorldId to each world, then storing that id in each Query. They could then be compared to each other on each `query.do_thing(&world)` operation. This _does_ add an extra branch to each query operation, so I'm open to other suggestions if people have them.~~
* ~~Nested Bundles (if i find time)~~
## Potential Future Work
* Expand WorldCell to support queries.
* Consider not allocating in the empty archetype on `world.spawn()`
* ex: return something like EntityMutUninit, which turns into EntityMut after an `insert` or `insert_bundle` op
* this actually regressed performance last time i tried it, but in theory it should be faster
* Optimize SparseSet::insert (see `PERF` comment on insert)
* Replace SparseArray `Option<T>` with T::MAX to cut down on branching
* would enable cheaper get_unchecked() operations
* upstream fixedbitset optimizations
* fixedbitset could be allocation free for small block counts (store blocks in a SmallVec)
* fixedbitset could have a const constructor
* Consider implementing Tags (archetype-specific by-value data that affects archetype identity)
* ex: ArchetypeA could have `[A, B, C]` table components and `[D(1)]` "tag" component. ArchetypeB could have `[A, B, C]` table components and a `[D(2)]` tag component. The archetypes are different, despite both having D tags because the value inside D is different.
* this could potentially build on top of the `archetype.unique_components` added in this pr for resource storage.
* Consider reverting `all_tuples` proc macro in favor of the old `macro_rules` implementation
* all_tuples is more flexible and produces cleaner documentation (the macro_rules version produces weird type parameter orders due to parser constraints)
* but unfortunately all_tuples also appears to make Rust Analyzer sad/slow when working inside of `bevy_ecs` (does not affect user code)
* Consider "resource queries" and/or "mixed resource and entity component queries" as an alternative to WorldCell
* this is basically just "systems" so maybe it's not worth it
* Add more world ops
* `world.clear()`
* `world.reserve<T: Bundle>(count: usize)`
* Try using the old archetype allocation strategy (allocate new memory on resize and copy everything over). I expect this to improve batch insertion performance at the cost of unbatched performance. But thats just a guess. I'm not an allocation perf pro :)
* Adapt Commands apis for consistency with new World apis
## Benchmarks
key:
* `bevy_old`: bevy `main` branch
* `bevy`: this branch
* `_foreach`: uses an optimized for_each iterator
* ` _sparse`: uses sparse set storage (if unspecified assume table storage)
* `_system`: runs inside a system (if unspecified assume test happens via direct world ops)
### Simple Insert (from ecs_bench_suite)
### Simpler Iter (from ecs_bench_suite)
### Fragment Iter (from ecs_bench_suite)
### Sparse Fragmented Iter
Iterate a query that matches 5 entities from a single matching archetype, but there are 100 unmatching archetypes
### Schedule (from ecs_bench_suite)
### Add Remove Component (from ecs_bench_suite)
### Add Remove Component Big
Same as the test above, but each entity has 5 "large" matrix components and 1 "large" matrix component is added and removed
### Get Component
Looks up a single component value a large number of times
