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feat(array): add scalar probes with lazy child contexts - #9843

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feat(array): add scalar probes with lazy child contexts#9843
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feat(array): add scalar probes with lazy child contexts

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CodSpeed HQ / CodSpeed Performance Analysis failed Sep 11, 2026

1 benchmark regressed

⚠️ 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

⚡ 13 improved benchmarks
❌ 1 regressed benchmark
✅ 2183 untouched benchmarks
⏩ 218 skipped benchmarks1

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

Mode Benchmark BASE HEAD Efficiency
WallTime dict_canonicalize_gt_u8_neon[1000000] 487.1 µs 541.9 µs -10.11%
WallTime arrow_checked_add_u32_neon[16384] 20.4 µs 13.5 µs +51.69%
WallTime filtered_sink_i64_avx2[OneNullInEight] 31.2 µs 21.9 µs +42.2%
WallTime mul_u64_nonnull_neon 21.3 µs 15.1 µs +40.77%
WallTime filtered_sink_i64_avx512[OneNullInEight] 31.2 µs 22.3 µs +40.12%
WallTime filtered_sink_i64_avx2[NineNullsInTen] 16.4 µs 13.1 µs +25.3%
WallTime filtered_sink_i64_avx512[NineNullsInTen] 16.5 µs 13.5 µs +22.41%
WallTime dict_canonicalize_gt_u8_avx2[16000000] 8 ms 6.8 ms +17.62%
WallTime multiply_shapes_neon[(16384, PerRowPerRow)] 20.3 µs 17.3 µs +17.56%
WallTime mul_i64_nonnull_neon 20.2 µs 17.2 µs +17.51%
WallTime filtered_owned_i64_avx2[OneNullInEight] 25.8 µs 22.3 µs +15.9%
Simulation allocate_drop_arrow[0] 456.9 ns 402.7 ns +13.45%
Simulation compact_sliced[(1024, 90)] 1.5 µs 1.4 µs +11.92%
Simulation compact_sliced[(2048, 90)] 1.6 µs 1.4 µs +11.42%

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-api (8146a99) with develop (d1fe2dc)

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.