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perf(array): reuse probe state in primitive and compressed arrays - #9844

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perf(array): reuse probe state in primitive and compressed arrays#9844
joseph-isaacs wants to merge 1 commit into
ji/array-probe-apifrom
ji/array-probe-encodings

perf(array): reuse probe state in primitive and compressed arrays

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CodSpeed HQ / CodSpeed Performance Analysis failed Sep 11, 2026 in 0s

Performance Regression: -17.03%

⚠️ 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

⚡ 2 improved benchmarks
❌ 12 regressed benchmarks
✅ 2183 untouched benchmarks
🆕 64 new benchmarks
⏩ 218 skipped benchmarks1

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

Mode Benchmark BASE HEAD Efficiency
WallTime arrow_checked_add_u32_neon[16384] 13.5 µs 20.4 µs -34.15%
WallTime filtered_sink_i64_avx2[OneNullInEight] 21.9 µs 31.2 µs -29.76%
WallTime mul_u64_nonnull_neon 15.1 µs 21.5 µs -29.66%
WallTime filtered_sink_i64_avx512[OneNullInEight] 22.3 µs 31.5 µs -29.4%
WallTime filtered_sink_i64_avx2[NineNullsInTen] 13.1 µs 16.6 µs -20.97%
WallTime filtered_sink_i64_avx512[NineNullsInTen] 13.5 µs 16.7 µs -19.53%
Simulation new_raw_prim_test_between[i32, 2048] 62.1 µs 76.7 µs -18.99%
WallTime dict_canonicalize_gt_u8_avx512[16000000] 6.8 ms 8.2 ms -17.79%
WallTime mul_i64_nonnull_neon 17.2 µs 20.6 µs -16.47%
WallTime multiply_shapes_neon[(16384, PerRowPerRow)] 17.3 µs 20.6 µs -16.08%
Simulation allocate_drop_arrow[0] 402.7 ns 456.9 ns -11.86%
WallTime words_gather_scalar_avx2[65536] 8.3 µs 9.4 µs -11.83%
Simulation decompress[u64, (4000, 1024)] 85.9 µs 70.1 µs +22.49%
WallTime mul_u32_nonnull_avx512 6.3 µs 5.6 µs +12.87%
🆕 Simulation pco_execute_scalar[(1, false, false)] N/A 211.9 µs N/A
🆕 Simulation pco_execute_scalar[(1, true, false)] N/A 207.5 µs N/A
🆕 Simulation pco_execute_scalar[(1024, false, false)] N/A 132.5 ms N/A
🆕 Simulation pco_execute_scalar[(1024, false, true)] N/A 132.7 ms N/A
🆕 Simulation pco_execute_scalar[(1024, true, false)] N/A 100.7 ms N/A
🆕 Simulation pco_execute_scalar[(1024, true, true)] N/A 98.4 ms N/A
... ... ... ... ... ...

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 ji/array-probe-encodings (bfd3004) with ji/array-probe-api (8146a99)

Open in CodSpeed

Footnotes

  1. 218 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.