Add a new AggregateFn for UncompressedSize #7715
Performance Regression: -10.6%
⚠️ 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.
⚡ 26 improved benchmarks
❌ 1 regressed benchmark
✅ 1142 untouched benchmarks
⏩ 138 skipped benchmarks1
⚠️ Please fix the performance issues or acknowledge them on CodSpeed.
Performance Changes
| Mode | Benchmark | BASE |
HEAD |
Efficiency | |
|---|---|---|---|---|---|
| ⚡ | Simulation | take_search_chunked[(0.1, 0.5)] |
2.4 ms | 2.1 ms | +14.49% |
| ⚡ | Simulation | take_search_chunked[(0.01, 0.5)] |
2 ms | 1.7 ms | +18.64% |
| ⚡ | Simulation | take_search[(0.01, 1.0)] |
3.3 ms | 2.5 ms | +28.78% |
| ⚡ | Simulation | take_search_chunked[(0.005, 1.0)] |
3.7 ms | 3.1 ms | +20.18% |
| ⚡ | Simulation | take_search_chunked[(0.1, 1.0)] |
4.9 ms | 4.2 ms | +14.61% |
| ⚡ | Simulation | take_search[(0.1, 0.1)] |
458.5 µs | 385.2 µs | +19.01% |
| ⚡ | Simulation | take_search[(0.1, 0.5)] |
2.2 ms | 1.8 ms | +20.41% |
| ⚡ | Simulation | take_search_chunked[(0.005, 0.5)] |
1.9 ms | 1.5 ms | +20.07% |
| ⚡ | Simulation | take_search[(0.005, 0.5)] |
1.5 ms | 1.2 ms | +31.06% |
| ⚡ | Simulation | take_search_chunked[(0.01, 0.1)] |
408.4 µs | 346.2 µs | +17.97% |
| ⚡ | Simulation | take_search[(0.1, 1.0)] |
4.3 ms | 3.5 ms | +20.64% |
| ⚡ | Simulation | take_search_chunked[(0.005, 0.05)] |
200.4 µs | 169.1 µs | +18.5% |
| ⚡ | Simulation | take_search_chunked[(0.005, 0.1)] |
383.8 µs | 321.6 µs | +19.35% |
| ⚡ | Simulation | take_search_chunked[(0.1, 0.05)] |
279 µs | 247.7 µs | +12.62% |
| ⚡ | Simulation | take_search[(0.005, 0.05)] |
167.9 µs | 131.2 µs | +28.04% |
| ⚡ | Simulation | take_search[(0.01, 0.5)] |
1.6 ms | 1.3 ms | +28.6% |
| ⚡ | Simulation | take_search[(0.1, 0.05)] |
248.8 µs | 212.1 µs | +17.33% |
| ⚡ | Simulation | take_search_chunked[(0.01, 0.05)] |
213.1 µs | 181.8 µs | +17.19% |
| ⚡ | Simulation | take_search[(0.005, 1.0)] |
3.1 ms | 2.3 ms | +31.27% |
| ⚡ | Simulation | take_search[(0.005, 0.1)] |
320.1 µs | 246.9 µs | +29.64% |
| ... | ... | ... | ... | ... | ... |
ℹ️ Only the first 20 benchmarks are displayed. Go to the app to view all benchmarks.
Comparing adamg/aggregate-fn-array-uncompressed (2ac1bd9) with develop (903ee6c)
Footnotes
-
138 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. ↩