Change DateTimeParts to i32 - #9796
2 benchmarks 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.
⚡ 6 improved benchmarks
❌ 2 regressed benchmarks
✅ 2179 untouched benchmarks
🆕 4 new benchmarks
⏩ 218 skipped benchmarks1
Warning
Please fix the performance issues or acknowledge them on CodSpeed.
Performance Changes
| Mode | Benchmark | BASE |
HEAD |
Efficiency | |
|---|---|---|---|---|---|
| ❌ | Simulation | random_i8[0.8] |
69.5 µs | 99 µs | -29.83% |
| ❌ | Simulation | decompress[u64, (4000, 1024)] |
70.8 µs | 86.2 µs | -17.81% |
| ⚡ | Simulation | random_i16[0.8] |
93.2 µs | 74.8 µs | +24.57% |
| ⚡ | Simulation | decompress[datetime_for_bp] |
193.9 µs | 156.5 µs | +23.88% |
| ⚡ | Simulation | allocate_drop_arrow[0] |
456.9 ns | 402.7 ns | +13.45% |
| ⚡ | WallTime | words_gather_scalar_avx2[1024] |
163 ns | 147 ns | +10.88% |
| ⚡ | WallTime | mul_u32_nonnull_avx512 |
6.2 µs | 5.6 µs | +10.53% |
| ⚡ | Simulation | allocate_drop_bytes[0] |
575.7 ns | 521.6 ns | +10.39% |
| 🆕 | Simulation | split[(65536, Microseconds)] |
N/A | 2.1 ms | N/A |
| 🆕 | Simulation | split[(65536, Milliseconds)] |
N/A | 2.1 ms | N/A |
| 🆕 | Simulation | split[(65536, Nanoseconds)] |
N/A | 2.1 ms | N/A |
| 🆕 | Simulation | split[(65536, Seconds)] |
N/A | 1.5 ms | 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 myrrc/datetimeparts-divisor (f2d36c1) with develop (7915813)
Footnotes
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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. ↩