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Plan and execute common RowFn batches in one dispatch - #10675
connortsui20 wants to merge 4 commits into
8 benchmarks regressed
3 warnings, 1 note
⚠️ Walltime results may be unreliableSome benchmarks used the Walltime instrument outside CodSpeed Macro Runners, which can make the results inconsistent.
⚠️ 17 benchmarks are dominated by system callsSystem calls cannot be simulated consistently and are left out of the measure. The reported value understates the real cost. Switch to the Walltime instrument to measure them.
⚠️ Base and head ran on different runner typesSome benchmarks with significant performance changes were compared across different runner types, so the changes might not come from the code. Run base and head on the same runner type, or use CodSpeed Macro Runners for more stable results.
ℹ️ 40 benchmarks have no flamegraph
The flamegraph wasn't generated: the symbols of the profiling trace could not be resolved, because no information about the language frames was collected.
⚡ 24 improved benchmarks
❌ 8 regressed benchmarks
✅ 2376 untouched benchmarks
⏩ 12 skipped benchmarks1
Warning
Please fix the performance issues or acknowledge them on CodSpeed.
Performance Changes
| Mode | Benchmark | BASE |
HEAD |
Efficiency | |
|---|---|---|---|---|---|
| ❌ | CPU Simulation | bench_compare_sliced_dict_primitive[(2000, 10000)] |
13 µs | 66.4 µs | -80.43% |
| ❌ | Walltime | mul_u64_nonnull_neon |
20.8 µs | 38.9 µs | -46.41% |
| ❌ | Walltime | deferred_bool_avx512[16384, (ConstantLhs, PartialAccepted)] |
35.9 µs | 47 µs | -23.69% |
| ❌ | CPU Simulation | density_sweep_dense_runs[0.001] |
44.5 µs | 53.8 µs | -17.2% |
| ❌ | Walltime | bitpack_blocked_compress_avx512 |
4.9 µs | 5.6 µs | -12.43% |
| ❌ | CPU Simulation | random_i8[0.01] |
103.5 µs | 116.5 µs | -11.13% |
| ❌ | CPU Simulation | sum_i32_clustered_nulls |
101 µs | 112.8 µs | -10.45% |
| ❌ | CPU Simulation | canonical_sum_i32_clustered_nulls |
102 µs | 113.6 µs | -10.2% |
| ⚡ | Walltime | threshold_neon[8] |
2.4 µs | 1.4 µs | +66.51% |
| ⚡ | Walltime | threshold_neon[64] |
4.3 µs | 2.7 µs | +62.95% |
| ⚡ | Walltime | filter_neon[8] |
1.7 µs | 1.3 µs | +33.54% |
| ⚡ | Walltime | filter_neon[64] |
2.7 µs | 2.1 µs | +27.1% |
| ⚡ | CPU Simulation | random_i128[0.01] |
5.3 µs | 4.4 µs | +22.73% |
| ⚡ | CPU Simulation | filter_powerlaw_by_mostly_false[250000] |
159.5 µs | 136.9 µs | +16.51% |
| ⚡ | CPU Simulation | filter_random_by_mostly_false[250000] |
184.5 µs | 162.4 µs | +13.57% |
| ⚡ | CPU Simulation | test_scan_filter[int] |
3.4 ms | 3 ms | +13.12% |
| ⚡ | Walltime | bitpack_blocked_compress_avx2 |
7.6 µs | 6.7 µs | +13.09% |
| ⚡ | Walltime | add_constant_shapes_neon[(32768, ConstantPerRow)] |
16.1 µs | 14.3 µs | +12.77% |
| ⚡ | CPU Simulation | filter_random_by_power_law[250000] |
185.8 µs | 165.5 µs | +12.28% |
| ⚡ | CPU Simulation | filter_powerlaw_by_power_law[250000] |
185.9 µs | 165.7 µs | +12.19% |
| ... | ... | ... | ... | ... | ... |
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 ct/row-fn-cleanup/fused-execution (5cbf00a) with develop (dbaf5f8)
Footnotes
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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. ↩