chore[array]: iterative execute impls #6860

Performance Regression: -17.88%

❌ 6 regressed benchmarks
✅ 994 untouched benchmarks
🆕 13 new benchmarks
⏩ 1466 skipped benchmarks¹

⚠️ Please fix the performance issues or acknowledge them on CodSpeed.

	Mode	Benchmark	`BASE`	`HEAD`	Efficiency
🆕	Simulation	`patch_copy_to_buffer[(0.1, Clustered)]`	N/A	554.3 µs	N/A
🆕	Simulation	`patch_copy_to_buffer[(0.01, Clustered)]`	N/A	477.7 µs	N/A
🆕	Simulation	`patch_copy_to_buffer[(0.1, Random)]`	N/A	554.7 µs	N/A
🆕	Simulation	`patch_copy_to_buffer[(0.01, Random)]`	N/A	478.3 µs	N/A
🆕	Simulation	`patch_inplace[(0.01, Random)]`	N/A	35 µs	N/A
🆕	Simulation	`patch_inplace[(0.01, Clustered)]`	N/A	18.7 µs	N/A
🆕	Simulation	`patch_inplace[(0.1, Clustered)]`	N/A	106 µs	N/A
🆕	Simulation	`patch_inplace[(0.1, Random)]`	N/A	185 µs	N/A
❌	Simulation	`bench_many_nulls[0.9]`	468.3 µs	533.9 µs	-12.28%
❌	Simulation	`alp_rd_decompress_f64`	27.4 ms	32.6 ms	-15.8%
❌	Simulation	`decompress_rd[f32, 10000]`	248.2 µs	283.8 µs	-12.53%
❌	Simulation	`decompress_rd[f64, 10000]`	246.8 µs	300.6 µs	-17.88%
❌	Simulation	`decompress_rd[f32, 100000]`	1.9 ms	2.2 ms	-13.73%
❌	Simulation	`decompress_rd[f64, 100000]`	2.3 ms	2.8 ms	-17.45%
🆕	Simulation	`map_each[Buffer<i32>, 16384]`	N/A	72.8 µs	N/A
🆕	Simulation	`map_each[Buffer<i32>, 128]`	N/A	2.5 µs	N/A
🆕	Simulation	`map_each[Buffer<i32>, 65536]`	N/A	285.3 µs	N/A
🆕	Simulation	`map_each[Buffer<i32>, 2048]`	N/A	10.8 µs	N/A
🆕	Simulation	`map_each[Buffer<i32>, 1024]`	N/A	6.4 µs	N/A

_{Comparing ji/iter-execute-step (ca1f0c5) with develop (af75dd3)}

1466 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. ↩