⚠️ Unknown Walltime execution environment detected

Using the Walltime instrument on standard Hosted Runners will lead to inconsistent data.

For the most accurate results, we recommend using CodSpeed Macro Runners: bare-metal machines fine-tuned for performance measurement consistency.

⚠️ Different runtime environments detected

Some benchmarks with significant performance changes were compared across different runtime environments,
which may affect the accuracy of the results.

Open the report in CodSpeed to investigate

#### 🎉 Hooray! `codspeed-rust` just leveled up to 5.0.0!

A heads-up, this is a breaking change and it might affect your current performance baseline a bit. But here's the exciting part - it's packed with new, cool features and promises improved result stability 🥳!
Curious about what's new? Visit our releases page to delve into all the awesome details about this new version.

⚡ 28 improved benchmarks
❌ 16 regressed benchmarks
✅ 1483 untouched benchmarks
⏩ 9 skipped benchmarks¹
🗄️ 1 archived benchmark run²

Performance Changes

	Mode	Benchmark	BASE	HEAD	Efficiency
❌	Simulation	compare[31]	157.9 µs	213.3 µs	-25.98%
❌	Simulation	compare[30]	155.4 µs	209 µs	-25.63%
❌	Simulation	compare[29]	153.6 µs	205.2 µs	-25.18%
❌	Simulation	compare[28]	150.9 µs	200.7 µs	-24.84%
❌	Simulation	compare[27]	149.5 µs	197.5 µs	-24.28%
❌	Simulation	compare[26]	147.1 µs	193.2 µs	-23.87%
❌	Simulation	compare[25]	145.3 µs	189.5 µs	-23.32%
❌	Simulation	compare[24]	141.1 µs	183.5 µs	-23.11%
❌	Simulation	compare[23]	140.9 µs	181.4 µs	-22.33%
❌	Simulation	compare[22]	138.5 µs	177.1 µs	-21.81%
❌	Simulation	compare[21]	136.7 µs	173.4 µs	-21.18%
❌	Simulation	compare[20]	133.5 µs	168.5 µs	-20.75%
❌	Simulation	compare[19]	132.3 µs	165.3 µs	-19.97%
❌	Simulation	compare[18]	129.8 µs	161 µs	-19.36%
❌	Simulation	count_i32_clustered_nulls	35 µs	40.8 µs	-14.33%
❌	Simulation	encode_varbin[(1000, 2)]	158 µs	177.7 µs	-11.09%
⚡	Simulation	compare[63]	360.9 µs	244.9 µs	+47.39%
⚡	Simulation	compare[56]	328.2 µs	225 µs	+45.86%
⚡	Simulation	compare[62]	364.7 µs	250.3 µs	+45.72%
⚡	Simulation	compare[63]	371.9 µs	255.6 µs	+45.5%
...	...	...	...	...	...

ℹ️ Only the first 20 benchmarks are displayed. Go to the app to view all benchmarks.

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_{Comparing os/grouped-aggregate (7c748a8) with ngates/grouped-aggregate (2ef64b2)}

Footnotes

1. 9 benchmarks were skipped, so the baseline results were used instead. If they were deleted from the codebase, click here and archive them to remove them from the performance reports. ↩

2. 1 benchmark was run, but is now archived. If it was deleted in another branch, consider rebasing to remove it from the report. Instead if it was added back, click here to restore it. ↩