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Specialize flattening iterators with only one inner item#121204

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cuviper:flatten-one-shot
Feb 17, 2024
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Specialize flattening iterators with only one inner item#121204
bors merged 2 commits into
rust-lang:masterfrom
cuviper:flatten-one-shot

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@cuviper

@cuviper cuviper commented Feb 16, 2024

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For iterators like Once and option::IntoIter that only ever have a
single item at most, the front and back iterator states in FlatMap and
Flatten are a waste, as they're always consumed already. We can use
specialization for these types to simplify the iterator methods.

It's a somewhat common pattern to use flatten() for options and
results, even recommended by multiple clippy lints. The
implementation is more efficient with filter_map, as mentioned in
clippy#9377, but this new specialization should close some of that
gap for existing code that flattens.

For iterators like `Once` and `option::IntoIter` that only ever have a
single item at most, the front and back iterator states in `FlatMap` and
`Flatten` are a waste, as they're always consumed already. We can use
specialization for these types to simplify the iterator methods.

It's a somewhat common pattern to use `flatten()` for options and
results, even recommended by [multiple][1] [clippy][2] [lints][3]. The
implementation is more efficient with `filter_map`, as mentioned in
[clippy#9377], but this new specialization should close some of that
gap for existing code that flattens.

[1]: https://rust-lang.github.io/rust-clippy/master/#filter_map_identity
[2]: https://rust-lang.github.io/rust-clippy/master/#option_filter_map
[3]: https://rust-lang.github.io/rust-clippy/master/#result_filter_map
[clippy#9377]: rust-lang/rust-clippy#9377
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r? @Mark-Simulacrum

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@rustbot rustbot added S-waiting-on-review Status: Awaiting review from the assignee but also interested parties. T-libs Relevant to the library team, which will review and decide on the PR/issue. labels Feb 16, 2024
@cuviper

cuviper commented Feb 16, 2024

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@bors try @rust-timer queue

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@rustbot rustbot added the S-waiting-on-perf Status: Waiting on a perf run to be completed. label Feb 16, 2024
bors added a commit to rust-lang-ci/rust that referenced this pull request Feb 16, 2024
Specialize flattening iterators with only one inner item

For iterators like `Once` and `option::IntoIter` that only ever have a
single item at most, the front and back iterator states in `FlatMap` and
`Flatten` are a waste, as they're always consumed already. We can use
specialization for these types to simplify the iterator methods.

It's a somewhat common pattern to use `flatten()` for options and
results, even recommended by [multiple][1] [clippy][2] [lints][3]. The
implementation is more efficient with `filter_map`, as mentioned in
[clippy#9377], but this new specialization should close some of that
gap for existing code that flattens.

[1]: https://rust-lang.github.io/rust-clippy/master/#filter_map_identity
[2]: https://rust-lang.github.io/rust-clippy/master/#option_filter_map
[3]: https://rust-lang.github.io/rust-clippy/master/#result_filter_map
[clippy#9377]: rust-lang/rust-clippy#9377
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bors commented Feb 16, 2024

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⌛ Trying commit 974bc45 with merge 4b67ea2...

@cuviper

cuviper commented Feb 16, 2024

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I have also been thinking about the opposite pattern with the "one-shot" on the outside, like an Option<I> where you call .into_iter().flatten(). I think this is also a candidate for streamlining, but it could be met with a new Option method for a simplified iterator wrapper.

@the8472 the8472 assigned the8472 and unassigned Mark-Simulacrum Feb 16, 2024
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Neat optimization.

I think next_chunk could also do what filter_map does here. But that optimization is a bit gnarly unsafe, so that can wait until we're closer to stabilizing the chunking iterators.

Comment thread library/core/src/iter/adapters/flatten.rs Outdated
Comment on lines +865 to +867
// These are always empty, which is fine to optimize too.
impl<T> OneShot for Empty<T> {}
impl<T> OneShot for array::IntoIter<T, 0> {}

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I wonder if something flattening over those exists in the wild, but sure, why not.

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Yeah, it would be weird, but maybe in some generic or macro code?
I wouldn't bother with this if it weren't trivial, for sure.

Comment thread library/core/src/iter/adapters/flatten.rs
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bors commented Feb 16, 2024

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☀️ Try build successful - checks-actions
Build commit: 4b67ea2 (4b67ea2e652830fe0a05868f9a698180a18295fa)

@cuviper

cuviper commented Feb 17, 2024

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It doesn't appear to be in the queue? Let's try again:

@rust-timer queue

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@the8472

the8472 commented Feb 17, 2024

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looks like it didn't pick up the try build.

@rust-timer build 4b67ea2

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Finished benchmarking commit (4b67ea2): comparison URL.

Overall result: ✅ improvements - no action needed

Benchmarking this pull request likely means that it is perf-sensitive, so we're automatically marking it as not fit for rolling up. While you can manually mark this PR as fit for rollup, we strongly recommend not doing so since this PR may lead to changes in compiler perf.

@bors rollup=never
@rustbot label: -S-waiting-on-perf -perf-regression

Instruction count

This is a highly reliable metric that was used to determine the overall result at the top of this comment.

mean range count
Regressions ❌
(primary)
- - 0
Regressions ❌
(secondary)
- - 0
Improvements ✅
(primary)
-0.6% [-0.6%, -0.6%] 1
Improvements ✅
(secondary)
- - 0
All ❌✅ (primary) -0.6% [-0.6%, -0.6%] 1

Max RSS (memory usage)

Results

This is a less reliable metric that may be of interest but was not used to determine the overall result at the top of this comment.

mean range count
Regressions ❌
(primary)
4.9% [4.9%, 4.9%] 1
Regressions ❌
(secondary)
- - 0
Improvements ✅
(primary)
- - 0
Improvements ✅
(secondary)
-1.6% [-1.6%, -1.6%] 1
All ❌✅ (primary) 4.9% [4.9%, 4.9%] 1

Cycles

This benchmark run did not return any relevant results for this metric.

Binary size

Results

This is a less reliable metric that may be of interest but was not used to determine the overall result at the top of this comment.

mean range count
Regressions ❌
(primary)
0.1% [0.0%, 0.2%] 4
Regressions ❌
(secondary)
- - 0
Improvements ✅
(primary)
-0.1% [-0.2%, -0.1%] 7
Improvements ✅
(secondary)
- - 0
All ❌✅ (primary) -0.1% [-0.2%, 0.2%] 11

Bootstrap: 638.862s -> 638.174s (-0.11%)
Artifact size: 306.32 MiB -> 306.35 MiB (0.01%)

@rustbot rustbot removed the S-waiting-on-perf Status: Waiting on a perf run to be completed. label Feb 17, 2024
@cuviper

cuviper commented Feb 17, 2024

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Of course I hoped for more positive results, but neutral is ok. Maybe the compiler is already sufficiently avoiding such flat-maps in its own hot loops. I can definitely show wins in microbenchmarks, so IMO it's still a potential boost for user code.

@Kobzol

Kobzol commented Feb 17, 2024

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Usually no-op changes are half/half green/red when you click on the "Show non-relevant results", this one is mostly green. So there might be some tiny win. In any case, it doesn't seem to be a regression :)

@the8472

the8472 commented Feb 17, 2024

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@bors r+

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bors commented Feb 17, 2024

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📌 Commit c36ae93 has been approved by the8472

It is now in the queue for this repository.

@bors bors added S-waiting-on-bors Status: Waiting on bors to run and complete tests. Bors will change the label on completion. and removed S-waiting-on-review Status: Awaiting review from the assignee but also interested parties. labels Feb 17, 2024
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bors commented Feb 17, 2024

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⌛ Testing commit c36ae93 with merge 6672c16...

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bors commented Feb 17, 2024

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☀️ Test successful - checks-actions
Approved by: the8472
Pushing 6672c16 to master...

@bors bors added the merged-by-bors This PR was explicitly merged by bors. label Feb 17, 2024
@bors bors merged commit 6672c16 into rust-lang:master Feb 17, 2024
@rustbot rustbot added this to the 1.78.0 milestone Feb 17, 2024
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Finished benchmarking commit (6672c16): comparison URL.

Overall result: ❌✅ regressions and improvements - no action needed

@rustbot label: -perf-regression

Instruction count

This is a highly reliable metric that was used to determine the overall result at the top of this comment.

mean range count
Regressions ❌
(primary)
- - 0
Regressions ❌
(secondary)
0.6% [0.6%, 0.6%] 1
Improvements ✅
(primary)
-0.6% [-0.6%, -0.6%] 1
Improvements ✅
(secondary)
-2.6% [-2.6%, -2.6%] 1
All ❌✅ (primary) -0.6% [-0.6%, -0.6%] 1

Max RSS (memory usage)

Results

This is a less reliable metric that may be of interest but was not used to determine the overall result at the top of this comment.

mean range count
Regressions ❌
(primary)
- - 0
Regressions ❌
(secondary)
1.6% [1.6%, 1.6%] 1
Improvements ✅
(primary)
-2.9% [-3.7%, -2.2%] 5
Improvements ✅
(secondary)
-2.6% [-3.7%, -1.6%] 16
All ❌✅ (primary) -2.9% [-3.7%, -2.2%] 5

Cycles

Results

This is a less reliable metric that may be of interest but was not used to determine the overall result at the top of this comment.

mean range count
Regressions ❌
(primary)
- - 0
Regressions ❌
(secondary)
- - 0
Improvements ✅
(primary)
- - 0
Improvements ✅
(secondary)
-1.4% [-1.4%, -1.4%] 1
All ❌✅ (primary) - - 0

Binary size

Results

This is a less reliable metric that may be of interest but was not used to determine the overall result at the top of this comment.

mean range count
Regressions ❌
(primary)
0.1% [0.0%, 0.2%] 6
Regressions ❌
(secondary)
- - 0
Improvements ✅
(primary)
-0.1% [-0.1%, -0.1%] 7
Improvements ✅
(secondary)
- - 0
All ❌✅ (primary) -0.0% [-0.1%, 0.2%] 13

Bootstrap: 640.998s -> 641.933s (0.15%)
Artifact size: 306.40 MiB -> 306.43 MiB (0.01%)

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