Commit graph

92 commits

Author SHA1 Message Date
re0312
4ca8cf5d66
Cluster small table/archetype into single Task in parallel iteration (#12846)
# Objective

- Fix #7303
- bevy would spawn a lot of tasks in parallel iteration when it matchs a
large storage and many small storage ,it significantly increase the
overhead of schedule.

## Solution

- collect small storage into one task
2024-04-04 07:09:26 +00:00
Cameron
01649f13e2
Refactor App and SubApp internals for better separation (#9202)
# Objective

This is a necessary precursor to #9122 (this was split from that PR to
reduce the amount of code to review all at once).

Moving `!Send` resource ownership to `App` will make it unambiguously
`!Send`. `SubApp` must be `Send`, so it can't wrap `App`.

## Solution

Refactor `App` and `SubApp` to not have a recursive relationship. Since
`SubApp` no longer wraps `App`, once `!Send` resources are moved out of
`World` and into `App`, `SubApp` will become unambiguously `Send`.

There could be less code duplication between `App` and `SubApp`, but
that would break `App` method chaining.

## Changelog

- `SubApp` no longer wraps `App`.
- `App` fields are no longer publicly accessible.
- `App` can no longer be converted into a `SubApp`.
- Various methods now return references to a `SubApp` instead of an
`App`.
## Migration Guide

- To construct a sub-app, use `SubApp::new()`. `App` can no longer
convert into `SubApp`.
- If you implemented a trait for `App`, you may want to implement it for
`SubApp` as well.
- If you're accessing `app.world` directly, you now have to use
`app.world()` and `app.world_mut()`.
- `App::sub_app` now returns `&SubApp`.
- `App::sub_app_mut`  now returns `&mut SubApp`.
- `App::get_sub_app` now returns `Option<&SubApp>.`
- `App::get_sub_app_mut` now returns `Option<&mut SubApp>.`
2024-03-31 03:16:10 +00:00
W. Black
622f9a35b6
Torus benchmark (#12781)
# Objective

- Primitive meshing is suboptimal
- Improve primitive meshing

## Solution

- Add primitive meshing benchmark
- Allows measuring future improvements

---

First of a few PRs to refactor and improve primitive meshing.
2024-03-29 20:30:26 +00:00
targrub
13cbb9cf10
Move commands module into bevy::ecs::world (#12234)
# Objective

Fixes https://github.com/bevyengine/bevy/issues/11628

## Migration Guide

`Command` and `CommandQueue` have migrated from `bevy_ecs::system` to
`bevy_ecs::world`, so `use bevy_ecs::world::{Command, CommandQueue};`
when necessary.
2024-03-02 23:13:45 +00:00
James Liu
bc82749012
Remove APIs deprecated in 0.13 (#11974)
# Objective
We deprecated quite a few APIs in 0.13. 0.13 has shipped already. It
should be OK to remove them in 0.14's release. Fixes #4059. Fixes #9011.

## Solution
Remove them.
2024-02-19 19:04:47 +00:00
David M. Lary
0dccfb5788
Stepping disabled performance fix (#11959)
# Objective

* Fixes #11932 (performance impact when stepping is disabled)

## Solution

The `Option<FixedBitSet>` argument added to `ScheduleExecutor::run()` in
#8453 caused a measurable performance impact even when stepping is
disabled. This can be seen by the benchmark of running `Schedule:run()`
on an empty schedule in a tight loop
(https://github.com/bevyengine/bevy/issues/11932#issuecomment-1950970236).

I was able to get the same performance results as on 0.12.1 by changing
the argument
`ScheduleExecutor::run()` from `Option<FixedBitSet>` to
`Option<&FixedBitSet>`. The down-side of this change is that
`Schedule::run()` now takes about 6% longer (3.7319 ms vs 3.9855ns) when
stepping is enabled

---

## Changelog
* Change `ScheduleExecutor::run()` `_skipped_systems` from
`Option<FixedBitSet>` to `Option<&FixedBitSet>`
* Added a few benchmarks to measure `Schedule::run()` performance with
various executors
2024-02-19 17:02:14 +00:00
Doonv
1c67e020f7
Move EntityHash related types into bevy_ecs (#11498)
# Objective

Reduce the size of `bevy_utils`
(https://github.com/bevyengine/bevy/issues/11478)

## Solution

Move `EntityHash` related types into `bevy_ecs`. This also allows us
access to `Entity`, which means we no longer need `EntityHashMap`'s
first generic argument.

---

## Changelog

- Moved `bevy::utils::{EntityHash, EntityHasher, EntityHashMap,
EntityHashSet}` into `bevy::ecs::entity::hash` .
- Removed `EntityHashMap`'s first generic argument. It is now hardcoded
to always be `Entity`.

## Migration Guide

- Uses of `bevy::utils::{EntityHash, EntityHasher, EntityHashMap,
EntityHashSet}` now have to be imported from `bevy::ecs::entity::hash`.
- Uses of `EntityHashMap` no longer have to specify the first generic
parameter. It is now hardcoded to always be `Entity`.
2024-02-12 15:02:24 +00:00
BD103
3d2d61d063
Use batch spawn in benchmarks (#11611)
# Objective

- The benchmarks for `bevy_ecs`' `iter_simple` group use `for` loops
instead of `World::spawn_batch`.
- There's a TODO comment that says to batch spawn them.

## Solution

- Replace the `for` loops with `World::spawn_batch`.
2024-02-01 19:23:09 +00:00
Doonv
99449931d2
Add README to benches (#11508)
# Objective

It is unclear how to run Bevy's benchmarks

## Solution

Add a README to the benches, with documentation that tells you what the
benchmarks are, and how to run them.

---------

Co-authored-by: Rob Parrett <robparrett@gmail.com>
2024-01-24 17:11:28 +00:00
Natalie Bonnibel Baker
b257fffef8
Change Entity::generation from u32 to NonZeroU32 for niche optimization (#9907)
# Objective

- Implements change described in
https://github.com/bevyengine/bevy/issues/3022
- Goal is to allow Entity to benefit from niche optimization, especially
in the case of Option<Entity> to reduce memory overhead with structures
with empty slots

## Discussion
- First PR attempt: https://github.com/bevyengine/bevy/pull/3029
- Discord:
https://discord.com/channels/691052431525675048/1154573759752183808/1154573764240093224

## Solution

- Change `Entity::generation` from u32 to NonZeroU32 to allow for niche
optimization.
- The reason for changing generation rather than index is so that the
costs are only encountered on Entity free, instead of on Entity alloc
- There was some concern with generations being used, due to there being
some desire to introduce flags. This was more to do with the original
retirement approach, however, in reality even if generations were
reduced to 24-bits, we would still have 16 million generations available
before wrapping and current ideas indicate that we would be using closer
to 4-bits for flags.
- Additionally, another concern was the representation of relationships
where NonZeroU32 prevents us using the full address space, talking with
Joy it seems unlikely to be an issue. The majority of the time these
entity references will be low-index entries (ie. `ChildOf`, `Owes`),
these will be able to be fast lookups, and the remainder of the range
can use slower lookups to map to the address space.
- It has the additional benefit of being less visible to most users,
since generation is only ever really set through `from_bits` type
methods.
- `EntityMeta` was changed to match
- On free, generation now explicitly wraps:
- Originally, generation would panic in debug mode and wrap in release
mode due to using regular ops.
- The first attempt at this PR changed the behavior to "retire" slots
and remove them from use when generations overflowed. This change was
controversial, and likely needs a proper RFC/discussion.
- Wrapping matches current release behaviour, and should therefore be
less controversial.
- Wrapping also more easily migrates to the retirement approach, as
users likely to exhaust the exorbitant supply of generations will code
defensively against aliasing and that defensive code is less likely to
break than code assuming that generations don't wrap.
- We use some unsafe code here when wrapping generations, to avoid
branch on NonZeroU32 construction. It's guaranteed safe due to how we
perform wrapping and it results in significantly smaller ASM code.
    - https://godbolt.org/z/6b6hj8PrM 

## Migration

- Previous `bevy_scene` serializations have a high likelihood of being
broken, as they contain 0th generation entities.

## Current Issues
 
- `Entities::reserve_generations` and `EntityMapper` wrap now, even in
debug - although they technically did in release mode already so this
probably isn't a huge issue. It just depends if we need to change
anything here?

---------

Co-authored-by: Natalie Baker <natalie.baker@advancednavigation.com>
2024-01-08 23:03:00 +00:00
irate
ec14e946b8
Update glam, encase and hexasphere (#11082)
Update to `glam` 0.25, `encase` 0.7 and `hexasphere` to 10.0

## Changelog
Added the `FloatExt` trait to the `bevy_math` prelude which adds `lerp`,
`inverse_lerp` and `remap` methods to the `f32` and `f64` types.
2024-01-08 22:58:45 +00:00
James Liu
2148518758
Override QueryIter::fold to port Query::for_each perf gains to select Iterator combinators (#6773)
# Objective
After #6547, `Query::for_each` has been capable of automatic
vectorization on certain queries, which is seeing a notable (>50% CPU
time improvements) for iteration. However, `Query::for_each` isn't
idiomatic Rust, and lacks the flexibility of iterator combinators.

Ideally, `Query::iter` and friends should be able to achieve the same
results. However, this does seem to blocked upstream
(rust-lang/rust#104914) by Rust's loop optimizations.

## Solution
This is an intermediate solution and refactor. This moves the
`Query::for_each` implementation onto the `Iterator::fold`
implementation for `QueryIter` instead. This should result in the same
automatic vectorization optimization on all `Iterator` functions that
internally use fold, including `Iterator::for_each`, `Iterator::count`,
etc.

With this, it should close the gap between the two completely.
Internally, this PR changes `Query::for_each` to use
`query.iter().for_each(..)` instead of the duplicated implementation.

Separately, the duplicate implementations of internal iteration (i.e.
`Query::par_for_each`) now use portions of the current `Query::for_each`
implementation factored out into their own functions.

This also massively cleans up our internal fragmentation of internal
iteration options, deduplicating the iteration code used in `for_each`
and `par_iter().for_each()`.

---

## Changelog
Changed: `Query::for_each`, `Query::for_each_mut`, `Query::for_each`,
and `Query::for_each_mut` have been moved to `QueryIter`'s
`Iterator::for_each` implementation, and still retains their performance
improvements over normal iteration. These APIs are deprecated in 0.13
and will be removed in 0.14.

---------

Co-authored-by: JoJoJet <21144246+JoJoJet@users.noreply.github.com>
Co-authored-by: Alice Cecile <alice.i.cecile@gmail.com>
2023-12-01 09:09:55 +00:00
Zachary Harrold
52c11f6986
Ran cargo fmt on benches crate (#10758)
# Objective

- Format `benches` crate to match current Rust standards.

## Solution

- Ran `cargo fmt` in the `benches` crate.

## Notes

I accidentally came across this when working on the `Drop`
implementation for `CommandQueue` and rather embarrassingly let it sneak
into my PR there. I think it makes sense to ensure this crate is also
well formatted to avoid it in the future.
2023-11-27 18:41:35 +00:00
scottmcm
713b1d8fa4
Optimize Entity::eq (#10519)
(This is my first PR here, so I've probably missed some things. Please
let me know what else I should do to help you as a reviewer!)

# Objective

Due to https://github.com/rust-lang/rust/issues/117800, the `derive`'d
`PartialEq::eq` on `Entity` isn't as good as it could be. Since that's
used in hashtable lookup, let's improve it.

## Solution

The derived `PartialEq::eq` short-circuits if the generation doesn't
match. However, having a branch there is sub-optimal, especially on
64-bit systems like x64 that could just load the whole `Entity` in one
load anyway.

Due to complications around `poison` in LLVM and the exact details of
what unsafe code is allowed to do with reference in Rust
(https://github.com/rust-lang/unsafe-code-guidelines/issues/346), LLVM
isn't allowed to completely remove the short-circuiting. `&Entity` is
marked `dereferencable(8)` so LLVM knows it's allowed to *load* all 8
bytes -- and does so -- but it has to assume that the `index` might be
undef/poison if the `generation` doesn't match, and thus while it finds
a way to do it without needing a branch, it has to do something slightly
more complicated than optimal to combine the results. (LLVM is allowed
to change non-short-circuiting code to use branches, but not the other
way around.)

Here's a link showing the codegen today:
<https://rust.godbolt.org/z/9WzjxrY7c>
```rust
#[no_mangle]
pub fn demo_eq_ref(a: &Entity, b: &Entity) -> bool {
    a == b
}
```
ends up generating the following assembly:
```asm
demo_eq_ref:
        movq    xmm0, qword ptr [rdi]
        movq    xmm1, qword ptr [rsi]
        pcmpeqd xmm1, xmm0
        pshufd  xmm0, xmm1, 80
        movmskpd        eax, xmm0
        cmp     eax, 3
        sete    al
        ret
```
(It's usually not this bad in real uses after inlining and LTO, but it
makes a strong demo.)

This PR manually implements `PartialEq::eq` *without* short-circuiting,
and because that tells LLVM that neither the generations nor the index
can be poison, it doesn't need to be so careful and can generate the
"just compare the two 64-bit values" code you'd have probably already
expected:
```asm
demo_eq_ref:
        mov     rax, qword ptr [rsi]
        cmp     qword ptr [rdi], rax
        sete    al
        ret
```

Since this doesn't change the representation of `Entity`, if it's
instead passed by *value*, then each `Entity` is two `u32` registers,
and the old and the new code do exactly the same thing. (Other
approaches, like changing `Entity` to be `[u32; 2]` or `u64`, affect
this case.)

This should hopefully merge easily with changes like
https://github.com/bevyengine/bevy/pull/9907 that also want to change
`Entity`.

## Benchmarks

I'm not super-confident that I got my machine fully consistent for
benchmarking, but whether I run the old or the new one first I get
reasonably consistent results.

Here's a fairly typical example of the benchmarks I added in this PR:

![image](https://github.com/bevyengine/bevy/assets/18526288/24226308-4616-4082-b0ff-88fc06285ef1)

Building the sets seems to be basically the same. It's usually reported
as noise, but sometimes I see a few percent slower or faster.

But lookup hits in particular -- since a hit checks that the key is
equal -- consistently shows around 10% improvement.

`cargo run --example many_cubes --features bevy/trace_tracy --release --
--benchmark` showed as slightly faster with this change, though if I had
to bet I'd probably say it's more noise than meaningful (but at least
it's not worse either):

![image](https://github.com/bevyengine/bevy/assets/18526288/58bb8c96-9c45-487f-a5ab-544bbfe9fba0)

This is my first PR here -- and my first time running Tracy -- so please
let me know what else I should run, or run things on your own more
reliable machines to double-check.

---

## Changelog

(probably not worth including)

Changed: micro-optimized `Entity::eq` to help LLVM slightly.

## Migration Guide

(I really hope nobody was using this on uninitialized entities where
sufficiently tortured `unsafe` could could technically notice that this
has changed.)
2023-11-14 02:06:21 +00:00
Pixelstorm
faa1b57de5
Global TaskPool API improvements (#10008)
# Objective

Reduce code duplication and improve APIs of Bevy's [global
taskpools](https://github.com/bevyengine/bevy/blob/main/crates/bevy_tasks/src/usages.rs).

## Solution

- As all three of the global taskpools have identical implementations
and only differ in their identifiers, this PR moves the implementation
into a macro to reduce code duplication.
- The `init` method is renamed to `get_or_init` to more accurately
reflect what it really does.
- Add a new `try_get` method that just returns `None` when the pool is
uninitialized, to complement the other getter methods.
- Minor documentation improvements to accompany the above changes.

---

## Changelog

- Added a new `try_get` method to the global TaskPools
- The global TaskPools' `init` method has been renamed to `get_or_init`
for clarity
- Documentation improvements

## Migration Guide

- Uses of `ComputeTaskPool::init`, `AsyncComputeTaskPool::init` and
`IoTaskPool::init` should be changed to `::get_or_init`.
2023-10-23 20:48:48 +00:00
Nicola Papale
47409c8a72
Add inline(never) to bench systems (#9824)
# Objective

It is difficult to inspect the generated assembly of benchmark systems
using a tool such as `cargo-asm`

## Solution

Mark the related functions as `#[inline(never)]`. This way, you can pass
the module name as argument to `cargo-asm` to get the generated assembly
for the given function.

It may have as side effect to make benchmarks a bit more predictable and
useful too. As it prevents inlining where in bevy no inlining could
possibly take place.

### Measurements

Following the recommendations in
<https://easyperf.net/blog/2019/08/02/Perf-measurement-environment-on-Linux>,
I

1. Put my CPU in "AMD ECO" mode, which surprisingly is the equivalent of
disabling turboboost, giving more consistent performances
2. Disabled all hyperthreading cores using `echo 0 >
/sys/devices/system/cpu/cpu{11,12…}/online`
3. Set the scaling governor to `performance`
4. Manually disabled AMD boost with `echo 0 >
/sys/devices/system/cpu/cpufreq/boost`
5. Set the nice level of the criterion benchmark using `cargo bench … &
sudo renice -n -5 -p $! ; fg`
6. Not running any other program than the benchmarks (outside of system
daemons and the X11 server)

With this setup, running multiple times the same benchmarks on `main`
gives me a lot of "regression" and "improvement" messages, which is
absurd given that no code changed.

On this branch, there is still some spurious performance change
detection, but they are much less frequent.

This only accounts for `iter_simple` and `iter_frag` benchmarks of
course.
2023-10-02 12:52:18 +00:00
Nicola Papale
359e6c718d
Use single threaded executor for archetype benches (#9835)
# Objective

`no_archetype` benchmark group results were very noisy

## Solution

Use the `SingeThreaded` executor.

On my machine, this makes the `no_archetype` bench group 20 to 30 times
faster. Meaning that most of the runtime was accounted by the
multithreaded scheduler. ie: the benchmark was not testing system
archetype update, but the overhead of multithreaded scheduling.

With this change, the benchmark results are more meaningful.

The add_archetypes function is also simplified.
2023-09-18 16:06:42 +00:00
Mike
c61faf35b8
fix deprecation warning in bench (#9823)
# Objective

- Fix deprecation warning when running benches.

## Solution

- iter -> read
2023-09-16 09:27:13 +00:00
Joseph
8eb6ccdd87
Remove useless single tuples and trailing commas (#9720)
# Objective

Title
2023-09-08 21:46:54 +00:00
Nicola Papale
ee3cc8ca86
Fix erronenous glam version (#9653)
# Objective

- Fix compilation issue with wrongly specified glam version
- bevy uses `Vec2::INFINITY`, depends on `0.24` (equivalent to `0.24.0`)
yet it was only introduced in version `0.24.1`

Context:
https://discord.com/channels/691052431525675048/692572690833473578/1146586570787397794

## Solution

- Bump glam version.
2023-08-31 12:55:17 +00:00
Mike
33fdc5f5db
Move schedule name into Schedule (#9600)
# Objective

- Move schedule name into `Schedule` to allow the schedule name to be
used for errors and tracing in Schedule methods
- Fixes #9510

## Solution

- Move label onto `Schedule` and adjust api's on `World` and `Schedule`
to not pass explicit label where it makes sense to.
- add name to errors and tracing.
- `Schedule::new` now takes a label so either add the label or use
`Schedule::default` which uses a default label. `default` is mostly used
in doc examples and tests.

---

## Changelog

- move label onto `Schedule` to improve error message and logging for
schedules.

## Migration Guide

`Schedule::new` and `App::add_schedule`
```rust
// old
let schedule = Schedule::new();
app.add_schedule(MyLabel, schedule);

// new
let schedule = Schedule::new(MyLabel);
app.add_schedule(schedule);
```

if you aren't using a label and are using the schedule struct directly
you can use the default constructor.
```rust
// old
let schedule = Schedule::new();
schedule.run(world);

// new
let schedule = Schedule::default();
schedule.run(world);
```

`Schedules:insert`
```rust
// old
let schedule = Schedule::new();
schedules.insert(MyLabel, schedule);

// new
let schedule = Schedule::new(MyLabel);
schedules.insert(schedule);
```

`World::add_schedule`
```rust
// old
let schedule = Schedule::new();
world.add_schedule(MyLabel, schedule);

// new
let schedule = Schedule::new(MyLabel);
world.add_schedule(schedule);
```
2023-08-28 20:44:48 +00:00
jnhyatt
087a345579
Rename Bezier to CubicBezier for clarity (#9554)
# Objective

A Bezier curve is a curve defined by two or more control points. In the
simplest form, it's just a line. The (arguably) most common type of
Bezier curve is a cubic Bezier, defined by four control points. These
are often used in animation, etc. Bevy has a Bezier curve struct called
`Bezier`. However, this is technically a misnomer as it only represents
cubic Bezier curves.

## Solution

This PR changes the struct name to `CubicBezier` to more accurately
reflect the struct's usage. Since it's exposed in Bevy's prelude, it can
potentially collide with other `Bezier` implementations. While that
might instead be an argument for removing it from the prelude, there's
also something to be said for adding a more general `Bezier` into Bevy,
in which case we'd likely want to use the name `Bezier`. As a final
motivator, not only is the struct located in `cubic_spines.rs`, there
are also several other spline-related structs which follow the
`CubicXxx` naming convention where applicable. For example,
`CubicSegment` represents a cubic Bezier curve (with coefficients
pre-baked).

---

## Migration Guide

- Change all `Bezier` references to `CubicBezier`
2023-08-28 17:37:42 +00:00
Nicola Papale
7b0809b532
Add reflect path parsing benchmark (#9364)
# Objective

We want to measure performance on path reflection parsing.

## Solution

Benchmark path-based reflection:
- Add a benchmark for `ParsedPath::parse`

It's fairly noisy, this is why I added the 3% threshold.

Ideally we would fix the noisiness though. Supposedly I'm seeding the
RNG correctly, so there shouldn't be much observable variance. Maybe
someone can help spot the issue.
2023-08-25 14:30:26 +00:00
Mike
ac8f36743e
enable multithreading on benches (#9388)
# Objective

- Enable the new multithreading feature on benches
2023-08-11 22:08:36 +00:00
Joseph
ddbfa48711
Simplify parallel iteration methods (#8854)
# Objective

The `QueryParIter::for_each_mut` function is required when doing
parallel iteration with mutable queries.
This results in an unfortunate stutter:
`query.par_iter_mut().par_for_each_mut()` ('mut' is repeated).

## Solution

- Make `for_each` compatible with mutable queries, and deprecate
`for_each_mut`. In order to prevent `for_each` from being called
multiple times in parallel, we take ownership of the QueryParIter.

---

## Changelog

- `QueryParIter::for_each` is now compatible with mutable queries.
`for_each_mut` has been deprecated as it is now redundant.

## Migration Guide

The method `QueryParIter::for_each_mut` has been deprecated and is no
longer functional. Use `for_each` instead, which now supports mutable
queries.

```rust
// Before:
query.par_iter_mut().for_each_mut(|x| ...);

// After:
query.par_iter_mut().for_each(|x| ...);
```

The method `QueryParIter::for_each` now takes ownership of the
`QueryParIter`, rather than taking a shared reference.

```rust
// Before:
let par_iter = my_query.par_iter().batching_strategy(my_batching_strategy);
par_iter.for_each(|x| {
    // ...Do stuff with x...
    par_iter.for_each(|y| {
        // ...Do nested stuff with y...
    });
});

// After:
my_query.par_iter().batching_strategy(my_batching_strategy).for_each(|x| {
    // ...Do stuff with x...
    my_query.par_iter().batching_strategy(my_batching_strategy).for_each(|y| {
        // ...Do nested stuff with y...
    });
});
```
2023-07-23 11:09:24 +00:00
JoJoJet
db8d3651e0
Migrate the rest of the engine to UnsafeWorldCell (#8833)
# Objective

Follow-up to #6404 and #8292.

Mutating the world through a shared reference is surprising, and it
makes the meaning of `&World` unclear: sometimes it gives read-only
access to the entire world, and sometimes it gives interior mutable
access to only part of it.

This is an up-to-date version of #6972.

## Solution

Use `UnsafeWorldCell` for all interior mutability. Now, `&World`
*always* gives you read-only access to the entire world.

---

## Changelog

TODO - do we still care about changelogs?

## Migration Guide

Mutating any world data using `&World` is now considered unsound -- the
type `UnsafeWorldCell` must be used to achieve interior mutability. The
following methods now accept `UnsafeWorldCell` instead of `&World`:

- `QueryState`: `get_unchecked`, `iter_unchecked`,
`iter_combinations_unchecked`, `for_each_unchecked`,
`get_single_unchecked`, `get_single_unchecked_manual`.
- `SystemState`: `get_unchecked_manual`

```rust
let mut world = World::new();
let mut query = world.query::<&mut T>();

// Before:
let t1 = query.get_unchecked(&world, entity_1);
let t2 = query.get_unchecked(&world, entity_2);

// After:
let world_cell = world.as_unsafe_world_cell();
let t1 = query.get_unchecked(world_cell, entity_1);
let t2 = query.get_unchecked(world_cell, entity_2);
```

The methods `QueryState::validate_world` and
`SystemState::matches_world` now take a `WorldId` instead of `&World`:

```rust
// Before:
query_state.validate_world(&world);

// After:
query_state.validate_world(world.id());
```

The methods `QueryState::update_archetypes` and
`SystemState::update_archetypes` now take `UnsafeWorldCell` instead of
`&World`:

```rust
// Before:
query_state.update_archetypes(&world);

// After:
query_state.update_archetypes(world.as_unsafe_world_cell_readonly());
```
2023-06-15 01:31:56 +00:00
Natanael Mojica
f135535cd6
Rename Command's "write" method to "apply" (#8814)
# Objective

- Fixes #8811 .

## Solution

- Rename "write" method to "apply" in Command trait definition.
- Rename other implementations of command trait throughout bevy's code
base.

---

## Changelog

- Changed: `Command::write` has been changed to `Command::apply`
- Changed: `EntityCommand::write` has been changed to
`EntityCommand::apply`

## Migration Guide

- `Command::write` implementations need to be changed to implement
`Command::apply` instead. This is a mere name change, with no further
actions needed.
- `EntityCommand::write` implementations need to be changed to implement
`EntityCommand::apply` instead. This is a mere name change, with no
further actions needed.

---------

Co-authored-by: Alice Cecile <alice.i.cecile@gmail.com>
2023-06-12 17:53:47 +00:00
CatThingy
89cbc78d3d
Require #[derive(Event)] on all Events (#7086)
# Objective

Be consistent with `Resource`s and `Components` and have `Event` types
be more self-documenting.
Although not susceptible to accidentally using a function instead of a
value due to `Event`s only being initialized by their type, much of the
same reasoning for removing the blanket impl on `Resource` also applies
here.

* Not immediately obvious if a type is intended to be an event
* Prevent invisible conflicts if the same third-party or primitive types
are used as events
* Allows for further extensions (e.g. opt-in warning for missed events)

## Solution

Remove the blanket impl for the `Event` trait. Add a derive macro for
it.

---

## Changelog

- `Event` is no longer implemented for all applicable types. Add the
`#[derive(Event)]` macro for events.

## Migration Guide

* Add the `#[derive(Event)]` macro for events. Third-party types used as
events should be wrapped in a newtype.
2023-06-06 14:44:32 +00:00
JoJoJet
85a918a8dd
Improve safety for the multi-threaded executor using UnsafeWorldCell (#8292)
# Objective

Fix #7833.

Safety comments in the multi-threaded executor don't really talk about
system world accesses, which makes it unclear if the code is actually
valid.

## Solution

Update the `System` trait to use `UnsafeWorldCell`. This type's API is
written in a way that makes it much easier to cleanly maintain safety
invariants. Use this type throughout the multi-threaded executor, with a
liberal use of safety comments.

---

## Migration Guide

The `System` trait now uses `UnsafeWorldCell` instead of `&World`. This
type provides a robust API for interior mutable world access.
- The method `run_unsafe` uses this type to manage world mutations
across multiple threads.
- The method `update_archetype_component_access` uses this type to
ensure that only world metadata can be used.

```rust
let mut system = IntoSystem::into_system(my_system);
system.initialize(&mut world);

// Before:
system.update_archetype_component_access(&world);
unsafe { system.run_unsafe(&world) }

// After:
system.update_archetype_component_access(world.as_unsafe_world_cell_readonly());
unsafe { system.run_unsafe(world.as_unsafe_world_cell()) }
```

---------

Co-authored-by: James Liu <contact@jamessliu.com>
2023-05-29 15:22:10 +00:00
François
0736195a1e
update syn, encase, glam and hexasphere (#8573)
# Objective

- Fixes #8282 
- Update `syn` to 2.0, `encase` to 0.6, `glam` to 0.24 and `hexasphere`
to 9.0


Blocked ~~on https://github.com/teoxoy/encase/pull/42~~ and ~~on
https://github.com/OptimisticPeach/hexasphere/pull/17~~

---------

Co-authored-by: Nicola Papale <nicopap@users.noreply.github.com>
Co-authored-by: JoJoJet <21144246+JoJoJet@users.noreply.github.com>
2023-05-16 01:24:17 +00:00
Gino Valente
75130bd5ec
bevy_reflect: Better proxies (#6971)
# Objective

> This PR is based on discussion from #6601

The Dynamic types (e.g. `DynamicStruct`, `DynamicList`, etc.) act as
both:
1. Dynamic containers which may hold any arbitrary data
2. Proxy types which may represent any other type

Currently, the only way we can represent the proxy-ness of a Dynamic is
by giving it a name.

```rust
// This is just a dynamic container
let mut data = DynamicStruct::default();

// This is a "proxy"
data.set_name(std::any::type_name::<Foo>());
```

This type name is the only way we check that the given Dynamic is a
proxy of some other type. When we need to "assert the type" of a `dyn
Reflect`, we call `Reflect::type_name` on it. However, because we're
only using a string to denote the type, we run into a few gotchas and
limitations.

For example, hashing a Dynamic proxy may work differently than the type
it proxies:

```rust
#[derive(Reflect, Hash)]
#[reflect(Hash)]
struct Foo(i32);

let concrete = Foo(123);
let dynamic = concrete.clone_dynamic();

let concrete_hash = concrete.reflect_hash();
let dynamic_hash = dynamic.reflect_hash();

// The hashes are not equal because `concrete` uses its own `Hash` impl
// while `dynamic` uses a reflection-based hashing algorithm
assert_ne!(concrete_hash, dynamic_hash);
```

Because the Dynamic proxy only knows about the name of the type, it's
unaware of any other information about it. This means it also differs on
`Reflect::reflect_partial_eq`, and may include ignored or skipped fields
in places the concrete type wouldn't.

## Solution

Rather than having Dynamics pass along just the type name of proxied
types, we can instead have them pass around the `TypeInfo`.

Now all Dynamic types contain an `Option<&'static TypeInfo>` rather than
a `String`:

```diff
pub struct DynamicTupleStruct {
-    type_name: String,
+    represented_type: Option<&'static TypeInfo>,
    fields: Vec<Box<dyn Reflect>>,
}
```

By changing `Reflect::get_type_info` to
`Reflect::represented_type_info`, hopefully we make this behavior a
little clearer. And to account for `None` values on these dynamic types,
`Reflect::represented_type_info` now returns `Option<&'static
TypeInfo>`.

```rust
let mut data = DynamicTupleStruct::default();

// Not proxying any specific type
assert!(dyn_tuple_struct.represented_type_info().is_none());

let type_info = <Foo as Typed>::type_info();
dyn_tuple_struct.set_represented_type(Some(type_info));
// Alternatively:
// let dyn_tuple_struct = foo.clone_dynamic();

// Now we're proxying `Foo`
assert!(dyn_tuple_struct.represented_type_info().is_some());
```

This means that we can have full access to all the static type
information for the proxied type. Future work would include
transitioning more static type information (trait impls, attributes,
etc.) over to the `TypeInfo` so it can actually be utilized by Dynamic
proxies.

### Alternatives & Rationale

> **Note** 
> These alternatives were written when this PR was first made using a
`Proxy` trait. This trait has since been removed.

<details>
<summary>View</summary>

#### Alternative: The `Proxy<T>` Approach

I had considered adding something like a `Proxy<T>` type where `T` would
be the Dynamic and would contain the proxied type information.

This was nice in that it allows us to explicitly determine whether
something is a proxy or not at a type level. `Proxy<DynamicStruct>`
proxies a struct. Makes sense.

The reason I didn't go with this approach is because (1) tuples, (2)
complexity, and (3) `PartialReflect`.

The `DynamicTuple` struct allows us to represent tuples at runtime. It
also allows us to do something you normally can't with tuples: add new
fields. Because of this, adding a field immediately invalidates the
proxy (e.g. our info for `(i32, i32)` doesn't apply to `(i32, i32,
NewField)`). By going with this PR's approach, we can just remove the
type info on `DynamicTuple` when that happens. However, with the
`Proxy<T>` approach, it becomes difficult to represent this behavior—
we'd have to completely control how we access data for `T` for each `T`.

Secondly, it introduces some added complexities (aside from the manual
impls for each `T`). Does `Proxy<T>` impl `Reflect`? Likely yes, if we
want to represent it as `dyn Reflect`. What `TypeInfo` do we give it?
How would we forward reflection methods to the inner type (remember, we
don't have specialization)? How do we separate this from Dynamic types?
And finally, how do all this in a way that's both logical and intuitive
for users?

Lastly, introducing a `Proxy` trait rather than a `Proxy<T>` struct is
actually more inline with the [Unique Reflect
RFC](https://github.com/bevyengine/rfcs/pull/56). In a way, the `Proxy`
trait is really one part of the `PartialReflect` trait introduced in
that RFC (it's technically not in that RFC but it fits well with it),
where the `PartialReflect` serves as a way for proxies to work _like_
concrete types without having full access to everything a concrete
`Reflect` type can do. This would help bridge the gap between the
current state of the crate and the implementation of that RFC.

All that said, this is still a viable solution. If the community
believes this is the better path forward, then we can do that instead.
These were just my reasons for not initially going with it in this PR.

#### Alternative: The Type Registry Approach

The `Proxy` trait is great and all, but how does it solve the original
problem? Well, it doesn't— yet!

The goal would be to start moving information from the derive macro and
its attributes to the generated `TypeInfo` since these are known
statically and shouldn't change. For example, adding `ignored: bool` to
`[Un]NamedField` or a list of impls.

However, there is another way of storing this information. This is, of
course, one of the uses of the `TypeRegistry`. If we're worried about
Dynamic proxies not aligning with their concrete counterparts, we could
move more type information to the registry and require its usage.

For example, we could replace `Reflect::reflect_hash(&self)` with
`Reflect::reflect_hash(&self, registry: &TypeRegistry)`.

That's not the _worst_ thing in the world, but it is an ergonomics loss.

Additionally, other attributes may have their own requirements, further
restricting what's possible without the registry. The `Reflect::apply`
method will require the registry as well now. Why? Well because the
`map_apply` function used for the `Reflect::apply` impls on `Map` types
depends on `Map::insert_boxed`, which (at least for `DynamicMap`)
requires `Reflect::reflect_hash`. The same would apply when adding
support for reflection-based diffing, which will require
`Reflect::reflect_partial_eq`.

Again, this is a totally viable alternative. I just chose not to go with
it for the reasons above. If we want to go with it, then we can close
this PR and we can pursue this alternative instead.

#### Downsides

Just to highlight a quick potential downside (likely needs more
investigation): retrieving the `TypeInfo` requires acquiring a lock on
the `GenericTypeInfoCell` used by the `Typed` impls for generic types
(non-generic types use a `OnceBox which should be faster). I am not sure
how much of a performance hit that is and will need to run some
benchmarks to compare against.

</details>

### Open Questions

1. Should we use `Cow<'static, TypeInfo>` instead? I think that might be
easier for modding? Perhaps, in that case, we need to update
`Typed::type_info` and friends as well?
2. Are the alternatives better than the approach this PR takes? Are
there other alternatives?

---

## Changelog

### Changed

- `Reflect::get_type_info` has been renamed to
`Reflect::represented_type_info`
- This method now returns `Option<&'static TypeInfo>` rather than just
`&'static TypeInfo`

### Added

- Added `Reflect::is_dynamic` method to indicate when a type is dynamic
- Added a `set_represented_type` method on all dynamic types

### Removed

- Removed `TypeInfo::Dynamic` (use `Reflect::is_dynamic` instead)
- Removed `Typed` impls for all dynamic types

## Migration Guide

- The Dynamic types no longer take a string type name. Instead, they
require a static reference to `TypeInfo`:

    ```rust
    #[derive(Reflect)]
    struct MyTupleStruct(f32, f32);
    
    let mut dyn_tuple_struct = DynamicTupleStruct::default();
    dyn_tuple_struct.insert(1.23_f32);
    dyn_tuple_struct.insert(3.21_f32);
    
    // BEFORE:
    let type_name = std::any::type_name::<MyTupleStruct>();
    dyn_tuple_struct.set_name(type_name);
    
    // AFTER:
    let type_info = <MyTupleStruct as Typed>::type_info();
    dyn_tuple_struct.set_represented_type(Some(type_info));
    ```

- `Reflect::get_type_info` has been renamed to
`Reflect::represented_type_info` and now also returns an
`Option<&'static TypeInfo>` (instead of just `&'static TypeInfo`):

    ```rust
    // BEFORE:
    let info: &'static TypeInfo = value.get_type_info();
    // AFTER:
let info: &'static TypeInfo = value.represented_type_info().unwrap();
    ```

- `TypeInfo::Dynamic` and `DynamicInfo` has been removed. Use
`Reflect::is_dynamic` instead:
   
    ```rust
    // BEFORE:
    if matches!(value.get_type_info(), TypeInfo::Dynamic) {
      // ...
    }
    // AFTER:
    if value.is_dynamic() {
      // ...
    }
    ```

---------

Co-authored-by: radiish <cb.setho@gmail.com>
2023-04-26 12:17:46 +00:00
Gino Valente
c320f54b50
bevy_reflect: Add benches for Struct::clone_dynamic and Reflect::get_type_info (#7764)
# Objective

There aren't any reflection bench tests for `Struct::clone_dynamic` or
`Reflect::get_type_info`.

## Solution

Add benches for `Struct::clone_dynamic` and `Reflect::get_type_info`.
2023-04-17 15:19:08 +00:00
James Liu
8e82c88131
Basic event benchmarks (#8251)
# Objective
Fix #7731. Add basic Event sending and iteration benchmarks to
bevy_ecs's benchmark suite.

## Solution
Add said benchmarks scaling from 100 to 50,000 events.

Not sure if I want to include a randomization of the events going in,
the current implementation might be too easy for the compiler to
optimize.

---------

Co-authored-by: JoJoJet <21144246+JoJoJet@users.noreply.github.com>
2023-03-31 07:12:18 +00:00
Carter Anderson
aefe1f0739
Schedule-First: the new and improved add_systems (#8079)
Co-authored-by: Mike <mike.hsu@gmail.com>
2023-03-18 01:45:34 +00:00
JoJoJet
fd1af7c8b8
Replace multiple calls to add_system with add_systems (#8001) 2023-03-10 18:15:22 +00:00
Edgar Geier
cbbf8ac575 Update glam to 0.23 (#7883)
# 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.
2023-03-04 11:42:27 +00:00
Aevyrie
2ea0061018 Add generic cubic splines to bevy_math (#7683)
# Objective

- Make cubic splines more flexible and more performant
- Remove the existing spline implementation that is generic over many degrees
  - This is a potential performance footgun and adds type complexity for negligible gain.
- Add implementations of:
  - Bezier splines
  - Cardinal splines (inc. Catmull-Rom)
  - B-Splines
  - Hermite splines

https://user-images.githubusercontent.com/2632925/221780519-495d1b20-ab46-45b4-92a3-32c46da66034.mp4


https://user-images.githubusercontent.com/2632925/221780524-2b154016-699f-404f-9c18-02092f589b04.mp4


https://user-images.githubusercontent.com/2632925/221780525-f934f99d-9ad4-4999-bae2-75d675f5644f.mp4


## Solution

- Implements the concept that splines are curve generators (e.g. https://youtu.be/jvPPXbo87ds?t=3488) via the `CubicGenerator` trait.
- Common splines are bespoke data types that implement this trait. This gives us flexibility to add custom spline-specific methods on these types, while ultimately all generating a `CubicCurve`.
- All splines generate `CubicCurve`s, which are a chain of precomputed polynomial coefficients. This means that all splines have the same evaluation cost, as the calculations for determining position, velocity, and acceleration are all identical. In addition, `CubicCurve`s are simply a list of `CubicSegment`s, which are evaluated from t=0 to t=1. This also means cubic splines of different type can be chained together, as ultimately they all are simply a collection of `CubicSegment`s.
- Because easing is an operation on a singe segment of a Bezier curve, we can simply implement easing on `Beziers` that use the `Vec2` type for points. Higher level crates such as `bevy_ui` can wrap this in a more ergonomic interface as needed.

### Performance
Measured on a desktop i5 8600K (6-year-old CPU):
- easing: 2.7x faster (19ns)
- cubic vec2 position sample: 1.5x faster (1.8ns)
- cubic vec3 position sample: 1.5x faster (2.6ns)
- cubic vec3a position sample: 1.9x faster (1.4ns)

On a laptop i7 11800H:
- easing: 16ns
- cubic vec2 position sample: 1.6ns
- cubic vec3 position sample: 2.3ns
- cubic vec3a position sample: 1.2ns

---

## Changelog

- Added a generic cubic curve trait, and implementation for Cardinal splines (including Catmull-Rom), B-Splines, Beziers, and Hermite Splines. 2D cubic curve segments also implement easing functionality for animation.
2023-03-03 22:06:42 +00:00
JoJoJet
9733613c07 Add marker traits to distinguish base sets from regular system sets (#7863)
# Objective

Base sets, added in #7466  are a special type of system set. Systems can only be added to base sets via `in_base_set`, while non-base sets can only be added via `in_set`. Unfortunately this is currently guarded by a runtime panic, which presents an unfortunate toe-stub when the wrong method is used. The delayed response between writing code and encountering the error (possibly hours) makes the distinction between base sets and other sets much more difficult to learn.

## Solution

Add the marker traits `BaseSystemSet` and `FreeSystemSet`. `in_base_set` and `in_set` now respectively accept these traits, which moves the runtime panic to a compile time error.

---

## Changelog

+ Added the marker trait `BaseSystemSet`, which is distinguished from a `FreeSystemSet`. These are both subtraits of `SystemSet`.

## Migration Guide

None if merged with 0.10
2023-03-02 13:22:58 +00:00
Aevyrie
2a598d3e5a Add Beziers to bevy_math (#7653)
# Objective

- Adds foundational math for Bezier curves, useful for UI/2D/3D animation and smooth paths.

https://user-images.githubusercontent.com/2632925/218883143-e138f994-1795-40da-8c59-21d779666991.mp4

## Solution

- Adds the generic `Bezier` type, and a `Point` trait. The `Point` trait allows us to use control points of any dimension, as long as they support vector math. I've implemented it for `f32`(1D), `Vec2`(2D), and `Vec3`/`Vec3A`(3D).
- Adds `CubicBezierEasing` on top of `Bezier` with the addition of an implementation of cubic Bezier easing, which is a foundational tool for UI animation.
  - This involves solving for $t$ in the parametric Bezier function $B(t)$ using the Newton-Raphson method to find a value with error $\leq$ 1e-7, capped at 8 iterations.
- Added type aliases for common Bezier curves: `CubicBezier2d`, `CubicBezier3d`, `QuadraticBezier2d`, and `QuadraticBezier3d`. These types use `Vec3A` to represent control points, as this was found to have an 80-90% speedup over using `Vec3`.
- Benchmarking shows quadratic/cubic Bezier evaluations $B(t)$ take \~1.8/2.4ns respectively. Easing, which requires an iterative solve takes \~50ns for cubic Beziers. 

---

## Changelog

- Added `CubicBezier2d`, `CubicBezier3d`, `QuadraticBezier2d`, and `QuadraticBezier3d` types with methods for sampling position, velocity, and acceleration. The generic `Bezier` type is also available, and generic over any degree of Bezier curve.
- Added `CubicBezierEasing`, with additional methods to allow for smooth easing animations.
2023-02-20 18:34:52 +00:00
Niklas Eicker
0bce78439b Cleanup system sets called labels (#7678)
# Objective

We have a few old system labels that are now system sets but are still named or documented as labels. Documentation also generally mentioned system labels in some places.


## Solution

- Clean up naming and documentation regarding system sets

## Migration Guide

`PrepareAssetLabel` is now called `PrepareAssetSet`
2023-02-14 21:46:07 +00:00
JoJoJet
f7fbfaf9c7 Rename an outdated benchmark from "run criteria" to "run condition" (#7645)
# Objective

The benchmark for run conditions still uses the outdated terminology "run criteria".

## Solution

Update the name.
2023-02-12 19:15:44 +00:00
张林伟
aa4170d9a4 Rename schedule v3 to schedule (#7519)
# Objective

- Follow up of https://github.com/bevyengine/bevy/pull/7267

## Solution

- Rename schedule_v3 to schedule
- Suppress "module inception" lint
2023-02-06 18:44:40 +00:00
Alice Cecile
206c7ce219 Migrate engine to Schedule v3 (#7267)
Huge thanks to @maniwani, @devil-ira, @hymm, @cart, @superdump and @jakobhellermann for the help with this PR.

# Objective

- Followup #6587.
- Minimal integration for the Stageless Scheduling RFC: https://github.com/bevyengine/rfcs/pull/45

## Solution

- [x]  Remove old scheduling module
- [x] Migrate new methods to no longer use extension methods
- [x] Fix compiler errors
- [x] Fix benchmarks
- [x] Fix examples
- [x] Fix docs
- [x] Fix tests

## Changelog

### Added

- a large number of methods on `App` to work with schedules ergonomically
- the `CoreSchedule` enum
- `App::add_extract_system` via the `RenderingAppExtension` trait extension method
- the private `prepare_view_uniforms` system now has a public system set for scheduling purposes, called `ViewSet::PrepareUniforms`

### Removed

- stages, and all code that mentions stages
- states have been dramatically simplified, and no longer use a stack
- `RunCriteriaLabel`
- `AsSystemLabel` trait
- `on_hierarchy_reports_enabled` run criteria (now just uses an ad hoc resource checking run condition)
- systems in `RenderSet/Stage::Extract` no longer warn when they do not read data from the main world
- `RunCriteriaLabel`
- `transform_propagate_system_set`: this was a nonstandard pattern that didn't actually provide enough control. The systems are already `pub`: the docs have been updated to ensure that the third-party usage is clear.

### Changed

- `System::default_labels` is now `System::default_system_sets`.
- `App::add_default_labels` is now `App::add_default_sets`
- `CoreStage` and `StartupStage` enums are now `CoreSet` and `StartupSet`
- `App::add_system_set` was renamed to `App::add_systems`
- The `StartupSchedule` label is now defined as part of the `CoreSchedules` enum
-  `.label(SystemLabel)` is now referred to as `.in_set(SystemSet)`
- `SystemLabel` trait was replaced by `SystemSet`
- `SystemTypeIdLabel<T>` was replaced by `SystemSetType<T>`
- The `ReportHierarchyIssue` resource now has a public constructor (`new`), and implements `PartialEq`
- Fixed time steps now use a schedule (`CoreSchedule::FixedTimeStep`) rather than a run criteria.
- Adding rendering extraction systems now panics rather than silently failing if no subapp with the `RenderApp` label is found.
- the `calculate_bounds` system, with the `CalculateBounds` label, is now in `CoreSet::Update`, rather than in `CoreSet::PostUpdate` before commands are applied. 
- `SceneSpawnerSystem` now runs under `CoreSet::Update`, rather than `CoreStage::PreUpdate.at_end()`.
- `bevy_pbr::add_clusters` is no longer an exclusive system
- the top level `bevy_ecs::schedule` module was replaced with `bevy_ecs::scheduling`
- `tick_global_task_pools_on_main_thread` is no longer run as an exclusive system. Instead, it has been replaced by `tick_global_task_pools`, which uses a `NonSend` resource to force running on the main thread.

## Migration Guide

- Calls to `.label(MyLabel)` should be replaced with `.in_set(MySet)`
- Stages have been removed. Replace these with system sets, and then add command flushes using the `apply_system_buffers` exclusive system where needed.
- The `CoreStage`, `StartupStage, `RenderStage` and `AssetStage`  enums have been replaced with `CoreSet`, `StartupSet, `RenderSet` and `AssetSet`. The same scheduling guarantees have been preserved.
  - Systems are no longer added to `CoreSet::Update` by default. Add systems manually if this behavior is needed, although you should consider adding your game logic systems to `CoreSchedule::FixedTimestep` instead for more reliable framerate-independent behavior.
  - Similarly, startup systems are no longer part of `StartupSet::Startup` by default. In most cases, this won't matter to you.
  - For example, `add_system_to_stage(CoreStage::PostUpdate, my_system)` should be replaced with 
  - `add_system(my_system.in_set(CoreSet::PostUpdate)`
- When testing systems or otherwise running them in a headless fashion, simply construct and run a schedule using `Schedule::new()` and `World::run_schedule` rather than constructing stages
- Run criteria have been renamed to run conditions. These can now be combined with each other and with states.
- Looping run criteria and state stacks have been removed. Use an exclusive system that runs a schedule if you need this level of control over system control flow.
- For app-level control flow over which schedules get run when (such as for rollback networking), create your own schedule and insert it under the `CoreSchedule::Outer` label.
- Fixed timesteps are now evaluated in a schedule, rather than controlled via run criteria. The `run_fixed_timestep` system runs this schedule between `CoreSet::First` and `CoreSet::PreUpdate` by default.
- Command flush points introduced by `AssetStage` have been removed. If you were relying on these, add them back manually.
- Adding extract systems is now typically done directly on the main app. Make sure the `RenderingAppExtension` trait is in scope, then call `app.add_extract_system(my_system)`.
- the `calculate_bounds` system, with the `CalculateBounds` label, is now in `CoreSet::Update`, rather than in `CoreSet::PostUpdate` before commands are applied. You may need to order your movement systems to occur before this system in order to avoid system order ambiguities in culling behavior.
- the `RenderLabel` `AppLabel` was renamed to `RenderApp` for clarity
- `App::add_state` now takes 0 arguments: the starting state is set based on the `Default` impl.
- Instead of creating `SystemSet` containers for systems that run in stages, simply use `.on_enter::<State::Variant>()` or its `on_exit` or `on_update` siblings.
- `SystemLabel` derives should be replaced with `SystemSet`. You will also need to add the `Debug`, `PartialEq`, `Eq`, and `Hash` traits to satisfy the new trait bounds.
- `with_run_criteria` has been renamed to `run_if`. Run criteria have been renamed to run conditions for clarity, and should now simply return a bool.
- States have been dramatically simplified: there is no longer a "state stack". To queue a transition to the next state, call `NextState::set`

## TODO

- [x] remove dead methods on App and World
- [x] add `App::add_system_to_schedule` and `App::add_systems_to_schedule`
- [x] avoid adding the default system set at inappropriate times
- [x] remove any accidental cycles in the default plugins schedule
- [x] migrate benchmarks
- [x] expose explicit labels for the built-in command flush points
- [x] migrate engine code
- [x] remove all mentions of stages from the docs
- [x] verify docs for States
- [x] fix uses of exclusive systems that use .end / .at_start / .before_commands
- [x] migrate RenderStage and AssetStage
- [x] migrate examples
- [x] ensure that transform propagation is exported in a sufficiently public way (the systems are already pub)
- [x] ensure that on_enter schedules are run at least once before the main app
- [x] re-enable opt-in to execution order ambiguities
- [x] revert change to `update_bounds` to ensure it runs in `PostUpdate`
- [x] test all examples
  - [x] unbreak directional lights
  - [x] unbreak shadows (see 3d_scene, 3d_shape, lighting, transparaency_3d examples)
  - [x] game menu example shows loading screen and menu simultaneously
  - [x] display settings menu is a blank screen
  - [x] `without_winit` example panics
- [x] ensure all tests pass
  - [x] SubApp doc test fails
  - [x] runs_spawn_local tasks fails
  - [x] [Fix panic_when_hierachy_cycle test hanging](https://github.com/alice-i-cecile/bevy/pull/120)

## Points of Difficulty and Controversy

**Reviewers, please give feedback on these and look closely**

1.  Default sets, from the RFC, have been removed. These added a tremendous amount of implicit complexity and result in hard to debug scheduling errors. They're going to be tackled in the form of "base sets" by @cart in a followup.
2. The outer schedule controls which schedule is run when `App::update` is called.
3. I implemented `Label for `Box<dyn Label>` for our label types. This enables us to store schedule labels in concrete form, and then later run them. I ran into the same set of problems when working with one-shot systems. We've previously investigated this pattern in depth, and it does not appear to lead to extra indirection with nested boxes.
4. `SubApp::update` simply runs the default schedule once. This sucks, but this whole API is incomplete and this was the minimal changeset.
5. `time_system` and `tick_global_task_pools_on_main_thread` no longer use exclusive systems to attempt to force scheduling order
6. Implemetnation strategy for fixed timesteps
7. `AssetStage` was migrated to `AssetSet` without reintroducing command flush points. These did not appear to be used, and it's nice to remove these bottlenecks.
8. Migration of `bevy_render/lib.rs` and pipelined rendering. The logic here is unusually tricky, as we have complex scheduling requirements.

## Future Work (ideally before 0.10)

- Rename schedule_v3 module to schedule or scheduling
- Add a derive macro to states, and likely a `EnumIter` trait of some form
- Figure out what exactly to do with the "systems added should basically work by default" problem
- Improve ergonomics for working with fixed timesteps and states
- Polish FixedTime API to match Time
- Rebase and merge #7415
- Resolve all internal ambiguities (blocked on better tools, especially #7442)
- Add "base sets" to replace the removed default sets.
2023-02-06 02:04:50 +00:00
James Liu
dfea88c64d Basic adaptive batching for parallel query iteration (#4777)
# Objective
Fixes #3184. Fixes #6640. Fixes #4798. Using `Query::par_for_each(_mut)` currently requires a `batch_size` parameter, which affects how it chunks up large archetypes and tables into smaller chunks to run in parallel. Tuning this value is difficult, as the performance characteristics entirely depends on the state of the `World` it's being run on. Typically, users will just use a flat constant and just tune it by hand until it performs well in some benchmarks. However, this is both error prone and risks overfitting the tuning on that benchmark.

This PR proposes a naive automatic batch-size computation based on the current state of the `World`.

## Background
`Query::par_for_each(_mut)` schedules a new Task for every archetype or table that it matches. Archetypes/tables larger than the batch size are chunked into smaller tasks. Assuming every entity matched by the query has an identical workload, this makes the worst case scenario involve using a batch size equal to the size of the largest matched archetype or table. Conversely, a batch size of `max {archetype, table} size / thread count * COUNT_PER_THREAD` is likely the sweetspot where the overhead of scheduling tasks is minimized, at least not without grouping small archetypes/tables together.

There is also likely a strict minimum batch size below which the overhead of scheduling these tasks is heavier than running the entire thing single-threaded.

## Solution

- [x] Remove the `batch_size` from `Query(State)::par_for_each`  and friends.
- [x] Add a check to compute `batch_size = max {archeytpe/table} size / thread count  * COUNT_PER_THREAD`
- [x] ~~Panic if thread count is 0.~~ Defer to `for_each` if the thread count is 1 or less.
- [x] Early return if there is no matched table/archetype. 
- [x] Add override option for users have queries that strongly violate the initial assumption that all iterated entities have an equal workload.

---

## Changelog
Changed: `Query::par_for_each(_mut)` has been changed to `Query::par_iter(_mut)` and will now automatically try to produce a batch size for callers based on the current `World` state.

## Migration Guide
The `batch_size` parameter for `Query(State)::par_for_each(_mut)` has been removed. These calls will automatically compute a batch size for you. Remove these parameters from all calls to these functions.

Before:
```rust
fn parallel_system(query: Query<&MyComponent>) {
   query.par_for_each(32, |comp| {
        ...
   });
}
```

After:

```rust
fn parallel_system(query: Query<&MyComponent>) {
   query.par_iter().for_each(|comp| {
        ...
   });
}
```

Co-authored-by: Arnav Choubey <56453634+x-52@users.noreply.github.com>
Co-authored-by: Robert Swain <robert.swain@gmail.com>
Co-authored-by: François <mockersf@gmail.com>
Co-authored-by: Corey Farwell <coreyf@rwell.org>
Co-authored-by: Aevyrie <aevyrie@gmail.com>
2023-01-20 08:47:20 +00:00
张林伟
bb79903938 Fix clippy issue for benches crate (#6806)
# Objective

- https://github.com/bevyengine/bevy/pull/3505 marked `S-Adopt-Me` , this pr is to continue his work.

## Solution

- run `cargo clippy --workspace --all-targets --all-features -- -Aclippy::type_complexity -Wclippy::doc_markdown -Wclippy::redundant_else -Wclippy::match_same_arms -Wclippy::semicolon_if_nothing_returned -Wclippy::explicit_iter_loop -Wclippy::map_flatten -Dwarnings` under benches dir.
- fix issue according to suggestion.
2023-01-11 09:32:07 +00:00
François
0aab699a84 Update glam 0.22, hexasphere 8.0, encase 0.4 (#6427)
# Objective

- Update glam to 0.22, hexasphere to 8.0, encase to 0.4

## Solution

- Update glam to 0.22, hexasphere to 8.0, encase to 0.4
- ~~waiting on https://github.com/teoxoy/encase/pull/17 and https://github.com/OptimisticPeach/hexasphere/pull/13~~
2022-11-07 19:44:13 +00:00
Thierry Berger
9dd019bf86 Change Detection Benchmarks (#4972)
# Objective

Fixes #4883.

## Solution

- Add benchmarks for Changed and Added

Disclaimer: I'm not that much familiar with benchmarking.
2022-11-04 17:53:54 +00:00
James Liu
ec8c8fbc8a Remove unnecesary branches/panics from Query accesses (#6461)
# Objective
Supercedes #6452. Upon inspection of the [generated assembly](https://gist.github.com/james7132/c2740c6941b80d7912f1e8888e223cbb#file-original-s) of a [simple Bevy binary](https://gist.github.com/james7132/c2740c6941b80d7912f1e8888e223cbb#file-source-rs) compiled with `cargo rustc --release -- --emit asm`, it's apparent that there are multiple unnecessary branches in the generated assembly:

```assembly
.LBB5_5:
	cmpq	%r10, %r11
	je	.LBB5_15
	movq	(%r11), %rcx
	movq	328(%r15), %rdx
	cmpq	%rdx, %rcx
	jae	.LBB5_14
	movq	312(%r15), %rdi
	leaq	(%rcx,%rcx,2), %rcx
	shlq	$5, %rcx
	movq	336(%r12), %rdx
	movq	64(%rdi,%rcx), %rax
	cmpq	%rdx, %rax
	jbe	.LBB5_4
	leaq	(%rdi,%rcx), %rsi
	movq	48(%rsi), %rbp
	shlq	$4, %rdx
	cmpq	$0, (%rbp,%rdx)
	je	.LBB5_4
	movq	344(%r12), %rbx
	cmpq	%rbx, %rax
	jbe	.LBB5_4
	shlq	$4, %rbx
	cmpq	$0, (%rbp,%rbx)
	je	.LBB5_4
	addq	$8, %r11
	movq	88(%rdi,%rcx), %rcx
	testq	%rcx, %rcx
	je	.LBB5_5
	movq	(%rsi), %rax
	movq	8(%rbp,%rdx), %rdx
	leaq	(%rdx,%rdx,4), %rdi
	shlq	$4, %rdi
	movq	32(%rax,%rdi), %rdx
	movq	56(%rax,%rdi), %r8
	movq	8(%rbp,%rbx), %rbp
	leaq	(%rbp,%rbp,4), %rbp
	shlq	$4, %rbp
	movq	32(%rax,%rbp), %r9
	xorl	%ebp, %ebp
	jmp	.LBB5_13
	.p2align	4, 0x90
```

Almost every one of the instructions starting with `j` is a potential branch, which can significantly slow down accesses. Of these, two labels are both common and never used:

```asm
.LBB5_14:
	leaq	__unnamed_2(%rip), %r8
	callq	_ZN4core9panicking18panic_bounds_check17h70367088e72af65aE
	ud2
.LBB5_4:
	callq	_ZN8bevy_ecs5query25debug_checked_unreachable17h0855ff520ceaea77E
	ud2
	.seh_endproc
```

These correpsond to subprocedure calls to panicking due to out of bounds from indexing `Tables` and `debug_checked_unreadable`. Both of which should be inlined and optimized out, but are not.

## Solution
Make `debug_checked_unreachable` a macro to forcibly inline either `unreachable!()` in debug builds, and `std::hint::unreachable_unchecked()` in release mode. Replace the `Tables` and `Archetype` index access with `get(id).unwrap_or_else(|| debug_checked_unreachable!())` to assume that the table or archetype provided exists.

This has no external breaking change of any kind.

The equivalent section of code with these changes removes most of the conditional jump instructions:

```asm
.LBB5_5:
	movss	(%rbx,%rbp,4), %xmm0
	movl	%r14d, 4(%r8,%rbp,8)
	addss	(%rdi,%rbp,4), %xmm0
	movss	%xmm0, (%rdi,%rbp,4)
	incq	%rbp
.LBB5_1:
	cmpq	%rdx, %rbp
	jne	.LBB5_5
	.p2align	4, 0x90
.LBB5_2:
	cmpq	%rcx, %rax
	je	.LBB5_6
	movq	(%rax), %rdx
	addq	$8, %rax
	movq	312(%rsi), %rbp
	leaq	(%rdx,%rdx,2), %rbx
	shlq	$5, %rbx
	movq	88(%rbp,%rbx), %rdx
	testq	%rdx, %rdx
	je	.LBB5_2
	leaq	(%rbx,%rbp), %r8
	movq	336(%r15), %rdi
	movq	344(%r15), %r9
	movq	48(%rbp,%rbx), %r10
	shlq	$4, %rdi
	movq	(%r8), %rbx
	movq	8(%r10,%rdi), %rdi
	leaq	(%rdi,%rdi,4), %rbp
	shlq	$4, %rbp
	movq	32(%rbx,%rbp), %rdi
	movq	56(%rbx,%rbp), %r8
	shlq	$4, %r9
	movq	8(%r10,%r9), %rbp
	leaq	(%rbp,%rbp,4), %rbp
	shlq	$4, %rbp
	movq	32(%rbx,%rbp), %rbx
	xorl	%ebp, %ebp
	jmp	.LBB5_5
.LBB5_6:
	addq	$40, %rsp
	popq	%rbx
	popq	%rbp
	popq	%rdi
	popq	%rsi
	popq	%r14
	popq	%r15
	retq
	.seh_endproc

```

## Performance

Microbenchmarks results:

<details>

```
group                                                    main                                     no-panic-query
-----                                                    ----                                     --------------
busy_systems/01x_entities_03_systems                     1.20     42.4±2.66µs        ? ?/sec      1.00     35.3±1.68µs        ? ?/sec
busy_systems/01x_entities_06_systems                     1.32     83.8±3.50µs        ? ?/sec      1.00     63.6±1.72µs        ? ?/sec
busy_systems/01x_entities_09_systems                     1.15    113.3±8.90µs        ? ?/sec      1.00     98.2±6.15µs        ? ?/sec
busy_systems/01x_entities_12_systems                     1.27   160.8±32.44µs        ? ?/sec      1.00    126.6±4.70µs        ? ?/sec
busy_systems/01x_entities_15_systems                     1.12    179.6±3.71µs        ? ?/sec      1.00   160.3±11.03µs        ? ?/sec
busy_systems/02x_entities_03_systems                     1.18     76.8±3.14µs        ? ?/sec      1.00     65.2±3.17µs        ? ?/sec
busy_systems/02x_entities_06_systems                     1.16    144.6±6.10µs        ? ?/sec      1.00    124.5±5.14µs        ? ?/sec
busy_systems/02x_entities_09_systems                     1.19    215.3±9.18µs        ? ?/sec      1.00    181.5±5.67µs        ? ?/sec
busy_systems/02x_entities_12_systems                     1.20    266.7±8.33µs        ? ?/sec      1.00    222.0±9.53µs        ? ?/sec
busy_systems/02x_entities_15_systems                     1.23   338.8±10.53µs        ? ?/sec      1.00    276.3±6.94µs        ? ?/sec
busy_systems/03x_entities_03_systems                     1.43    113.5±5.06µs        ? ?/sec      1.00     79.6±1.49µs        ? ?/sec
busy_systems/03x_entities_06_systems                     1.38   217.3±12.67µs        ? ?/sec      1.00    157.5±3.07µs        ? ?/sec
busy_systems/03x_entities_09_systems                     1.23   308.8±24.75µs        ? ?/sec      1.00    251.6±8.93µs        ? ?/sec
busy_systems/03x_entities_12_systems                     1.05   347.7±12.43µs        ? ?/sec      1.00   330.6±11.43µs        ? ?/sec
busy_systems/03x_entities_15_systems                     1.13   455.5±13.88µs        ? ?/sec      1.00   401.7±17.29µs        ? ?/sec
busy_systems/04x_entities_03_systems                     1.24    144.7±5.89µs        ? ?/sec      1.00    116.9±6.29µs        ? ?/sec
busy_systems/04x_entities_06_systems                     1.24   282.8±21.40µs        ? ?/sec      1.00   228.6±21.31µs        ? ?/sec
busy_systems/04x_entities_09_systems                     1.35   431.8±14.10µs        ? ?/sec      1.00    319.6±9.83µs        ? ?/sec
busy_systems/04x_entities_12_systems                     1.16   493.8±22.87µs        ? ?/sec      1.00   424.9±15.24µs        ? ?/sec
busy_systems/04x_entities_15_systems                     1.10   587.5±23.25µs        ? ?/sec      1.00   531.7±16.32µs        ? ?/sec
busy_systems/05x_entities_03_systems                     1.14    148.2±9.61µs        ? ?/sec      1.00    129.5±4.32µs        ? ?/sec
busy_systems/05x_entities_06_systems                     1.31   359.7±17.46µs        ? ?/sec      1.00   273.6±10.55µs        ? ?/sec
busy_systems/05x_entities_09_systems                     1.22   473.5±23.11µs        ? ?/sec      1.00   389.3±13.62µs        ? ?/sec
busy_systems/05x_entities_12_systems                     1.05   562.9±20.76µs        ? ?/sec      1.00   536.5±24.35µs        ? ?/sec
busy_systems/05x_entities_15_systems                     1.23   818.5±28.70µs        ? ?/sec      1.00   666.6±45.87µs        ? ?/sec
contrived/01x_entities_03_systems                        1.27     27.5±0.49µs        ? ?/sec      1.00     21.6±1.71µs        ? ?/sec
contrived/01x_entities_06_systems                        1.22     49.9±1.18µs        ? ?/sec      1.00     40.7±2.62µs        ? ?/sec
contrived/01x_entities_09_systems                        1.30     72.3±2.39µs        ? ?/sec      1.00     55.4±2.60µs        ? ?/sec
contrived/01x_entities_12_systems                        1.28     94.3±9.44µs        ? ?/sec      1.00     73.7±3.62µs        ? ?/sec
contrived/01x_entities_15_systems                        1.25    118.0±2.43µs        ? ?/sec      1.00     94.1±3.99µs        ? ?/sec
contrived/02x_entities_03_systems                        1.23     41.6±1.71µs        ? ?/sec      1.00     33.7±2.30µs        ? ?/sec
contrived/02x_entities_06_systems                        1.19     78.6±2.63µs        ? ?/sec      1.00     65.9±2.35µs        ? ?/sec
contrived/02x_entities_09_systems                        1.28    113.6±3.60µs        ? ?/sec      1.00     88.6±3.60µs        ? ?/sec
contrived/02x_entities_12_systems                        1.20    146.4±5.75µs        ? ?/sec      1.00    121.7±3.35µs        ? ?/sec
contrived/02x_entities_15_systems                        1.23    178.5±4.86µs        ? ?/sec      1.00    145.7±4.00µs        ? ?/sec
contrived/03x_entities_03_systems                        1.42     58.3±2.77µs        ? ?/sec      1.00     41.1±1.54µs        ? ?/sec
contrived/03x_entities_06_systems                        1.32    108.5±7.30µs        ? ?/sec      1.00     82.4±4.86µs        ? ?/sec
contrived/03x_entities_09_systems                        1.23    153.7±4.61µs        ? ?/sec      1.00    125.0±4.76µs        ? ?/sec
contrived/03x_entities_12_systems                        1.18    197.5±5.12µs        ? ?/sec      1.00    166.8±8.14µs        ? ?/sec
contrived/03x_entities_15_systems                        1.23    238.8±6.38µs        ? ?/sec      1.00    194.6±4.55µs        ? ?/sec
contrived/04x_entities_03_systems                        1.34     66.4±3.42µs        ? ?/sec      1.00     49.5±1.98µs        ? ?/sec
contrived/04x_entities_06_systems                        1.27    134.3±4.86µs        ? ?/sec      1.00    105.8±3.58µs        ? ?/sec
contrived/04x_entities_09_systems                        1.26    193.2±3.83µs        ? ?/sec      1.00    153.0±5.60µs        ? ?/sec
contrived/04x_entities_12_systems                        1.16    237.1±5.78µs        ? ?/sec      1.00   204.9±18.77µs        ? ?/sec
contrived/04x_entities_15_systems                        1.17    289.2±4.76µs        ? ?/sec      1.00    246.3±8.57µs        ? ?/sec
contrived/05x_entities_03_systems                        1.26     80.4±2.90µs        ? ?/sec      1.00     63.7±3.07µs        ? ?/sec
contrived/05x_entities_06_systems                        1.27   161.6±13.47µs        ? ?/sec      1.00    127.2±5.59µs        ? ?/sec
contrived/05x_entities_09_systems                        1.22    228.0±7.76µs        ? ?/sec      1.00    186.2±7.68µs        ? ?/sec
contrived/05x_entities_12_systems                        1.20    289.5±6.21µs        ? ?/sec      1.00    241.8±7.52µs        ? ?/sec
contrived/05x_entities_15_systems                        1.18   357.3±11.24µs        ? ?/sec      1.00    302.7±7.21µs        ? ?/sec
heavy_compute/base                                       1.01    302.4±3.52µs        ? ?/sec      1.00    300.2±3.40µs        ? ?/sec
iter_fragmented/base                                     1.00    348.1±7.51ns        ? ?/sec      1.01    351.9±8.32ns        ? ?/sec
iter_fragmented/foreach                                  1.03   239.8±23.78ns        ? ?/sec      1.00   233.8±18.12ns        ? ?/sec
iter_fragmented/foreach_wide                             1.00      3.9±0.13µs        ? ?/sec      1.02      4.0±0.22µs        ? ?/sec
iter_fragmented/wide                                     1.18      4.6±0.15µs        ? ?/sec      1.00      3.9±0.10µs        ? ?/sec
iter_fragmented_sparse/base                              1.02      8.1±0.15ns        ? ?/sec      1.00      7.9±0.56ns        ? ?/sec
iter_fragmented_sparse/foreach                           1.00      7.8±0.22ns        ? ?/sec      1.01      7.9±0.62ns        ? ?/sec
iter_fragmented_sparse/foreach_wide                      1.00     37.2±1.17ns        ? ?/sec      1.10     40.9±0.95ns        ? ?/sec
iter_fragmented_sparse/wide                              1.09     48.4±2.13ns        ? ?/sec      1.00    44.5±18.34ns        ? ?/sec
iter_simple/base                                         1.02      8.4±0.10µs        ? ?/sec      1.00      8.2±0.14µs        ? ?/sec
iter_simple/foreach                                      1.01      8.3±0.07µs        ? ?/sec      1.00      8.2±0.09µs        ? ?/sec
iter_simple/foreach_sparse_set                           1.00     25.3±0.32µs        ? ?/sec      1.02     25.7±0.42µs        ? ?/sec
iter_simple/foreach_wide                                 1.03     41.1±0.94µs        ? ?/sec      1.00     39.9±0.41µs        ? ?/sec
iter_simple/foreach_wide_sparse_set                      1.05    123.6±2.05µs        ? ?/sec      1.00    118.1±2.78µs        ? ?/sec
iter_simple/sparse_set                                   1.14     30.5±1.40µs        ? ?/sec      1.00     26.9±0.64µs        ? ?/sec
iter_simple/system                                       1.01      8.4±0.25µs        ? ?/sec      1.00      8.4±0.11µs        ? ?/sec
iter_simple/wide                                         1.18     48.2±0.62µs        ? ?/sec      1.00     40.7±0.38µs        ? ?/sec
iter_simple/wide_sparse_set                              1.12   140.8±21.56µs        ? ?/sec      1.00    126.0±2.30µs        ? ?/sec
query_get/50000_entities_sparse                          1.17    378.6±7.60µs        ? ?/sec      1.00   324.1±23.17µs        ? ?/sec
query_get/50000_entities_table                           1.08   330.9±10.90µs        ? ?/sec      1.00    306.8±4.98µs        ? ?/sec
query_get_component/50000_entities_sparse                1.00   976.7±19.55µs        ? ?/sec      1.00   979.8±35.87µs        ? ?/sec
query_get_component/50000_entities_table                 1.00  1029.0±15.11µs        ? ?/sec      1.05  1080.0±59.18µs        ? ?/sec
query_get_component_simple/system                        1.13   839.7±14.18µs        ? ?/sec      1.00   742.8±10.72µs        ? ?/sec
query_get_component_simple/unchecked                     1.01   909.0±15.17µs        ? ?/sec      1.00   898.0±13.56µs        ? ?/sec
query_get_many_10/50000_calls_sparse                     1.04      5.5±0.54ms        ? ?/sec      1.00      5.3±0.67ms        ? ?/sec
query_get_many_10/50000_calls_table                      1.01      4.9±0.49ms        ? ?/sec      1.00      4.8±0.45ms        ? ?/sec
query_get_many_2/50000_calls_sparse                      1.28  848.4±210.89µs        ? ?/sec      1.00   664.8±47.69µs        ? ?/sec
query_get_many_2/50000_calls_table                       1.05   779.0±73.85µs        ? ?/sec      1.00   739.2±83.02µs        ? ?/sec
query_get_many_5/50000_calls_sparse                      1.05      2.4±0.37ms        ? ?/sec      1.00      2.3±0.33ms        ? ?/sec
query_get_many_5/50000_calls_table                       1.00  1939.9±75.22µs        ? ?/sec      1.04      2.0±0.19ms        ? ?/sec
run_criteria/yes_using_query/001_systems                 1.00      3.7±0.38µs        ? ?/sec      1.30      4.9±0.14µs        ? ?/sec
run_criteria/yes_using_query/006_systems                 1.00      8.9±0.40µs        ? ?/sec      1.17     10.3±0.57µs        ? ?/sec
run_criteria/yes_using_query/011_systems                 1.00     13.9±0.49µs        ? ?/sec      1.08     15.0±0.89µs        ? ?/sec
run_criteria/yes_using_query/016_systems                 1.00     18.8±0.74µs        ? ?/sec      1.00     18.8±1.43µs        ? ?/sec
run_criteria/yes_using_query/021_systems                 1.07     24.1±0.87µs        ? ?/sec      1.00     22.6±1.58µs        ? ?/sec
run_criteria/yes_using_query/026_systems                 1.04     27.9±0.62µs        ? ?/sec      1.00     26.8±1.71µs        ? ?/sec
run_criteria/yes_using_query/031_systems                 1.09     33.3±1.03µs        ? ?/sec      1.00     30.5±2.18µs        ? ?/sec
run_criteria/yes_using_query/036_systems                 1.14     38.7±0.80µs        ? ?/sec      1.00     33.9±1.75µs        ? ?/sec
run_criteria/yes_using_query/041_systems                 1.18     43.7±1.07µs        ? ?/sec      1.00     37.0±2.39µs        ? ?/sec
run_criteria/yes_using_query/046_systems                 1.14     47.6±1.16µs        ? ?/sec      1.00     41.9±2.09µs        ? ?/sec
run_criteria/yes_using_query/051_systems                 1.17     52.9±2.04µs        ? ?/sec      1.00     45.3±1.75µs        ? ?/sec
run_criteria/yes_using_query/056_systems                 1.25     59.2±2.38µs        ? ?/sec      1.00     47.2±2.01µs        ? ?/sec
run_criteria/yes_using_query/061_systems                 1.28    66.1±15.84µs        ? ?/sec      1.00     51.5±2.47µs        ? ?/sec
run_criteria/yes_using_query/066_systems                 1.28     70.2±2.57µs        ? ?/sec      1.00     54.7±2.58µs        ? ?/sec
run_criteria/yes_using_query/071_systems                 1.30     75.5±2.27µs        ? ?/sec      1.00     58.2±3.31µs        ? ?/sec
run_criteria/yes_using_query/076_systems                 1.26     81.5±2.66µs        ? ?/sec      1.00     64.5±3.13µs        ? ?/sec
run_criteria/yes_using_query/081_systems                 1.29     89.7±2.58µs        ? ?/sec      1.00     69.3±3.47µs        ? ?/sec
run_criteria/yes_using_query/086_systems                 1.33     95.6±3.39µs        ? ?/sec      1.00     71.8±3.48µs        ? ?/sec
run_criteria/yes_using_query/091_systems                 1.25    102.0±3.67µs        ? ?/sec      1.00     81.4±4.82µs        ? ?/sec
run_criteria/yes_using_query/096_systems                 1.33    111.7±3.29µs        ? ?/sec      1.00     83.8±4.15µs        ? ?/sec
run_criteria/yes_using_query/101_systems                 1.29   113.2±12.04µs        ? ?/sec      1.00     87.7±5.15µs        ? ?/sec
world_query_for_each/50000_entities_sparse               1.00     47.4±0.51µs        ? ?/sec      1.00     47.3±0.33µs        ? ?/sec
world_query_for_each/50000_entities_table                1.00     27.2±0.50µs        ? ?/sec      1.00     27.2±0.17µs        ? ?/sec
world_query_get/50000_entities_sparse_wide               1.09    210.5±1.78µs        ? ?/sec      1.00    192.5±2.61µs        ? ?/sec
world_query_get/50000_entities_table                     1.00    127.7±2.09µs        ? ?/sec      1.07    136.2±5.95µs        ? ?/sec
world_query_get/50000_entities_table_wide                1.00    209.8±2.37µs        ? ?/sec      1.15    240.6±2.04µs        ? ?/sec
world_query_iter/50000_entities_sparse                   1.00     54.2±0.36µs        ? ?/sec      1.01     54.7±0.61µs        ? ?/sec
world_query_iter/50000_entities_table                    1.00     27.2±0.31µs        ? ?/sec      1.00     27.3±0.64µs        ? ?/sec
```
</details>

NOTE: This PR includes a change to enable LTO on our benchmarks to get a "fully optimized" baseline for our benchmarks. Both the main and the current PR's results were with LTO enabled.
2022-11-04 06:04:55 +00:00
JoJoJet
3d6706f86d Speed up Query::get_many and add benchmarks (#6400)
# Objective

* Add benchmarks for `Query::get_many`.
* Speed up `Query::get_many`.

## Solution

Previously, `get_many` and `get_many_mut` used the method `array::map`, which tends to optimize very poorly. This PR replaces uses of that method with loops.

## Benchmarks

| Benchmark name                       | Execution time | Change from this PR |
|--------------------------------------|----------------|---------------------|
| query_get_many_2/50000_calls_table   | 1.3732 ms      | -24.967%            |
| query_get_many_2/50000_calls_sparse  | 1.3826 ms      | -24.572%            |
| query_get_many_5/50000_calls_table   | 2.6833 ms      | -30.681%            |
| query_get_many_5/50000_calls_sparse  | 2.9936 ms      | -30.672%            |
| query_get_many_10/50000_calls_table  | 5.7771 ms      | -36.950%            |
| query_get_many_10/50000_calls_sparse | 7.4345 ms      | -36.987%            |
2022-11-01 03:51:41 +00:00
JoJoJet
336049da68 Remove outdated uses of single-tuple bundles (#6406)
# Objective

Bevy still has many instances of using single-tuples `(T,)` to create a bundle. Due to #2975, this is no longer necessary.

## Solution

Search for regex `\(.+\s*,\)`. This should have found every instance.
2022-10-29 18:15:28 +00:00