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bench(fsst): add baseline for sparse take optimization - #10553
3 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.
⚠️ 2 benchmarks measured no execution time
Nothing ran under measurement, usually because the compiler removed the code under test. These results are not comparable, so they count as unchanged.
⚠️ 18 benchmarks spent significant time in system calls
System calls cannot be consistently instrumented, so they are not included in the measure, which understates the real cost. Please switch to the Walltime instrument to accurately measure system calls.
ℹ️ 40 benchmarks have no flame graph
The flamegraph could not be generated because we failed to resolve the symbols in the profiling trace. This happens when we fail to harvest information about language frames.
test_scan_scalar_at[int_str]test_repeated_scan_scalar_at[int_float]test_scan_filter[int_float]test_scan_filter[int_str]test_repeated_scan_scalar_at[int]test_repeated_scan_scalar_at[int_str_float]test_repeated_scan_filter[int_str]test_repeated_scan_scalar_at[int_str]test_scan_scalar_at[int]test_repeated_scan_to_arrow_array[int]- …and 30 more
⚠️ Different runtime environments detected
Some benchmarks with significant performance changes were compared across different runtime environments,
which may affect the accuracy of the results.
⚡ 3 improved benchmarks
❌ 3 regressed benchmarks
✅ 2241 untouched benchmarks
🆕 64 new benchmarks
⏩ 12 skipped benchmarks1
Warning
Please fix the performance issues or acknowledge them on CodSpeed.
Performance Changes
| Mode | Benchmark | BASE |
HEAD |
Efficiency | |
|---|---|---|---|---|---|
| ❌ | WallTime | threshold_neon[80] |
3.7 µs | 4.4 µs | -15.57% |
| ❌ | WallTime | random_rotating_avx2[(0.9, 0.9, "self_90pct_mask_90pct")] |
8.3 µs | 9.6 µs | -13.48% |
| ❌ | WallTime | random_rotating_avx2[(0.5, 0.5, "self_50pct_mask_50pct")] |
8.3 µs | 9.2 µs | -10.21% |
| ⚡ | Simulation | take_map[(0.1, 1.0)] |
352.2 µs | 221.2 µs | +59.22% |
| ⚡ | Simulation | take_map[(0.1, 0.5)] |
182.6 µs | 146.4 µs | +24.72% |
| ⚡ | Simulation | take_map[(0.1, 0.05)] |
87 µs | 77.4 µs | +12.42% |
| 🆕 | Simulation | take[(1000, 1, 1)] |
N/A | 145 µs | N/A |
| 🆕 | Simulation | take[(1000, 1, 249)] |
N/A | 152.3 µs | N/A |
| 🆕 | Simulation | take[(1000, 16, 1)] |
N/A | 316.2 µs | N/A |
| 🆕 | Simulation | take[(1000, 16, 249)] |
N/A | 324.8 µs | N/A |
| 🆕 | Simulation | take[(1000, 2, 1)] |
N/A | 160.4 µs | N/A |
| 🆕 | Simulation | take[(1000, 2, 249)] |
N/A | 168.1 µs | N/A |
| 🆕 | Simulation | take[(1000, 32, 1)] |
N/A | 514.7 µs | N/A |
| 🆕 | Simulation | take[(1000, 32, 249)] |
N/A | 523.3 µs | N/A |
| 🆕 | Simulation | take[(1000, 4, 1)] |
N/A | 155.7 µs | N/A |
| 🆕 | Simulation | take[(1000, 4, 249)] |
N/A | 164.4 µs | N/A |
| 🆕 | Simulation | take[(1000, 64, 1)] |
N/A | 904.1 µs | N/A |
| 🆕 | Simulation | take[(1000, 64, 249)] |
N/A | 912.9 µs | N/A |
| 🆕 | Simulation | take[(1000, 8, 1)] |
N/A | 212.3 µs | N/A |
| 🆕 | Simulation | take[(1000, 8, 249)] |
N/A | 220.4 µs | N/A |
| ... | ... | ... | ... | ... | ... |
ℹ️ Only the first 20 benchmarks are displayed. Go to the app to view all benchmarks.
Tip
Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.
Comparing db/fsst-take-benchmarks (8c628e8) with develop (6eae823)
Footnotes
-
12 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. ↩