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feat: prototype NarrowArray for narrow integer storage - #10015

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feat: prototype NarrowArray for narrow integer storage#10015
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mk/narrow-array-pr

feat: prototype NarrowArray for narrow integer storage

d7d9a98
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CodSpeed / CodSpeed Performance Analysis failed Sep 23, 2026

8 benchmarks regressed

⚠️ Unknown Walltime execution environment detected

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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

⚡ 52 improved benchmarks
❌ 8 regressed benchmarks
✅ 159 untouched benchmarks
⏩ 2282 skipped benchmarks1

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

Benchmark BASE HEAD Efficiency
❌ dbp_split_kernel_all_valid_neon[(I256, 8192)] 8.2 µs 36.2 µs -77.39%
❌ dbp_split_kernel_all_valid_avx512[(I256, 8192)] 13.6 µs 50.4 µs -73.09%
❌ dbp_split_kernel_all_valid_avx2[(I256, 8192)] 15.5 µs 53.5 µs -71.06%
❌ words_gather_dispatch_avx512[65536] 1 µs 1.4 µs -25.67%
❌ filtered_sink_i64_avx2[OneNullInEight] 21.8 µs 26.2 µs -16.83%
❌ filtered_sink_i64_avx512[OneNullInEight] 22.5 µs 26.6 µs -15.42%
❌ filtered_owned_i64_avx2[OneNullInEight] 21.8 µs 25.5 µs -14.51%
❌ dict_canonicalize_gt_u8_neon[1000000] 488.3 µs 560.2 µs -12.85%
⚡ mul_u64_nonnull_neon 40.4 µs 15.3 µs ×2.6
⚡ mul_i16_nonnull_avx2 29 µs 11.6 µs ×2.5
⚡ mul_i32_nonnull_avx2 33 µs 13.4 µs ×2.5
⚡ mul_i8_nonnull_avx2 30.3 µs 12.3 µs ×2.5
⚡ mul_u8_nonnull_avx512 22.4 µs 9.5 µs ×2.4
⚡ mul_i32_nullable_avx2 34.6 µs 15 µs ×2.3
⚡ mul_i8_nonnull_neon 25.7 µs 11.2 µs ×2.3
⚡ mul_u8_nonnull_avx2 20.9 µs 9.2 µs ×2.3
⚡ mul_i32_nonnull_neon 23.4 µs 10.4 µs ×2.3
⚡ mul_i16_nonnull_neon 24 µs 10.7 µs ×2.3
⚡ mul_u64_nonnull_avx2 39.3 µs 17.5 µs ×2.3
⚡ mul_i64_nonnull_neon 38.6 µs 17.2 µs ×2.2
... ... ... ... ...

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

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

Comparing mk/narrow-array-pr (d7d9a98) with mk/primitive-compare-bitmap (c215b0e)

Open in CodSpeed

Footnotes

  1. 2282 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. ↩

View more details on CodSpeed