Better fixed-width buffer filtering by robert3005 · Pull Request #8723 · vortex-data/vortex

2 benchmarks regressed

⚡ 21 improved benchmarks
❌ 2 regressed benchmarks
✅ 1826 untouched benchmarks
⏩ 46 skipped benchmarks¹

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

	Mode	Benchmark	`BASE`	`HEAD`	Efficiency
❌	Simulation	`random_i16[0.01]`	27.2 µs	36.5 µs	-25.45%
❌	Simulation	`random_i64[0.01]`	28.7 µs	35.5 µs	-18.99%
⚡	Simulation	`patterns_i128[Contiguous]`	234.3 µs	17.6 µs	×13
⚡	Simulation	`random_i8[0.5]`	81.6 µs	42.3 µs	+93.1%
⚡	Simulation	`random_i8[0.8]`	90.6 µs	50.6 µs	+79.12%
⚡	Simulation	`random_i64[0.8]`	277.7 µs	167.7 µs	+65.58%
⚡	Simulation	`random_i16[0.8]`	101.5 µs	67 µs	+51.52%
⚡	Simulation	`patterns_i128[Runs]`	244.5 µs	165.7 µs	+47.57%
⚡	Simulation	`random_i16[0.5]`	89.5 µs	62.7 µs	+42.78%
⚡	Simulation	`random_i64[0.5]`	204.7 µs	147.8 µs	+38.54%
⚡	Simulation	`random_i32[0.8]`	127.9 µs	93.3 µs	+37.11%
⚡	Simulation	`random_i128[0.8]`	388.6 µs	283.5 µs	+37.1%
⚡	Simulation	`random_i32[0.5]`	113.7 µs	85.1 µs	+33.65%
⚡	Simulation	`random_i128[0.5]`	289.9 µs	218 µs	+32.95%
⚡	Simulation	`random_i8[0.95]`	66.2 µs	50.8 µs	+30.34%
⚡	Simulation	`patterns_i128[Random]`	289.9 µs	226.1 µs	+28.25%
⚡	Simulation	`random_i256[0.8]`	638.9 µs	533.1 µs	+19.84%
⚡	Simulation	`random_i256[0.5]`	445.1 µs	373.3 µs	+19.22%
⚡	Simulation	`random_i16[0.95]`	80.6 µs	68.2 µs	+18.07%
⚡	Simulation	`take_filter_primitive_large_random_mask_random_indices[(12500, 25000)]`	366 µs	311.8 µs	+17.36%
...	...	...	...	...	...

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

Tip

Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.

_{Comparing rk/filterbuffer (b471442) with develop (28d327c)}

46 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. ↩