perf: fast FixedSizeListArray canonicalization for chunked arrays #8161
+160
−2
CodSpeed HQ / CodSpeed Performance Analysis
failed
May 29, 2026 in 0s
1 benchmark 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.
⚡ 1 improved benchmark
❌ 1 regressed benchmark
✅ 1264 untouched benchmarks
🆕 9 new benchmarks
Warning
Please fix the performance issues or acknowledge them on CodSpeed.
Performance Changes
| Mode | Benchmark | BASE |
HEAD |
Efficiency | |
|---|---|---|---|---|---|
| ⚡ | Simulation | chunked_varbinview_opt_canonical_into[(1000, 10)] |
225.4 µs | 188.1 µs | +19.85% |
| ❌ | Simulation | chunked_varbinview_canonical_into[(100, 100)] |
273.1 µs | 307.8 µs | -11.28% |
| 🆕 | Simulation | canonicalize[1024, 2] |
N/A | 18.7 µs | N/A |
| 🆕 | Simulation | canonicalize[1024, 8] |
N/A | 20.4 µs | N/A |
| 🆕 | Simulation | canonicalize[16, 2] |
N/A | 23.9 µs | N/A |
| 🆕 | Simulation | canonicalize[256, 2] |
N/A | 18.9 µs | N/A |
| 🆕 | Simulation | canonicalize[256, 32] |
N/A | 24.7 µs | N/A |
| 🆕 | Simulation | canonicalize[1024, 32] |
N/A | 24.6 µs | N/A |
| 🆕 | Simulation | canonicalize[16, 32] |
N/A | 25.6 µs | N/A |
| 🆕 | Simulation | canonicalize[16, 8] |
N/A | 20.6 µs | N/A |
| 🆕 | Simulation | canonicalize[256, 8] |
N/A | 20.4 µs | N/A |
Tip
Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.
Comparing claude/admiring-keller-4Sz1N (e0e8c96) with develop (30103b8)
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