Skip to content

bench(fsst): add baseline for sparse take optimization - #10553

Merged
blaginin merged 1 commit into
developfrom
db/fsst-take-benchmarks
Oct 16, 2026
Merged

blaginin merged 1 commit into
developfrom
db/fsst-take-benchmarks

bench(fsst): cover sparse takes by payload size and repeated bytes

8c628e8
Select commit
Loading
Failed to load commit list.
CodSpeed / CodSpeed Performance Analysis failed Oct 16, 2026

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.

Preventing compiler optimizations

⚠️ 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.

Measurement and 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.

⚠️ 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

⚡ 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)

Open in CodSpeed

Footnotes

  1. 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. ↩