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perf[runend]: run_end_bool decompress #6229

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CodSpeed HQ / CodSpeed Performance Analysis failed Feb 2, 2026 in 0s

Performance Regression: -32.46%

⚡ 15 improved benchmarks
❌ 1 regressed benchmark
✅ 1122 untouched benchmarks
🆕 29 new benchmarks
⏩ 1384 skipped benchmarks1

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

Performance Changes

Mode Benchmark BASE HEAD Efficiency
Simulation chunked_bool_into_canonical[(1000, 10)] 43 µs 63.7 µs -32.46%
Simulation null_count_run_end[(10000, 16, 0.01)] 84.7 µs 48 µs +76.32%
Simulation null_count_run_end[(10000, 16, 0.5)] 84.6 µs 51.7 µs +63.68%
Simulation null_count_run_end[(10000, 4, 0.01)] 234.1 µs 135.2 µs +73.08%
Simulation null_count_run_end[(100000, 16, 0.01)] 566.2 µs 203.4 µs ×2.8
Simulation null_count_run_end[(100000, 256, 0.01)] 78.8 µs 64.5 µs +22.03%
Simulation null_count_run_end[(10000, 4, 0.5)] 190.3 µs 100.4 µs +89.59%
Simulation null_count_run_end[(100000, 256, 0.5)] 78.5 µs 66.1 µs +18.75%
Simulation null_count_run_end[(100000, 4, 0.01)] 1,623.4 µs 645.7 µs ×2.5
Simulation null_count_run_end[(10000, 4, 0.1)] 190.8 µs 94.2 µs ×2
Simulation null_count_run_end[(100000, 16, 0.1)] 565.9 µs 210 µs ×2.7
Simulation null_count_run_end[(100000, 4, 0.1)] 1,623.1 µs 660.6 µs ×2.5
Simulation null_count_run_end[(100000, 16, 0.5)] 566.5 µs 242.1 µs ×2.3
Simulation null_count_run_end[(10000, 16, 0.1)] 84.7 µs 48.8 µs +73.57%
Simulation null_count_run_end[(100000, 4, 0.5)] 1,621.7 µs 737.6 µs ×2.2
🆕 Simulation decode_bool[10000_1000_mostly_true] N/A 11.5 µs N/A
Simulation null_count_run_end[(100000, 256, 0.1)] 78.9 µs 65.2 µs +21.11%
🆕 Simulation decode_bool[10000_100_mostly_true] N/A 13.8 µs N/A
🆕 Simulation decode_bool[10000_100_mostly_false] N/A 14 µs N/A
🆕 Simulation decode_bool[10000_10_all_false] N/A 32.4 µs N/A
... ... ... ... ... ...

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


Comparing ji/run-end-perf-bool (1beb99c) with develop (2c198c4)

Open in CodSpeed

Footnotes

  1. 1384 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.