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perf(bench): generate TPC-H Parquet in parallel parts on a shared work queue - #10557
joseph-isaacs wants to merge 1 commit into
1 benchmark 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.
⚠️ 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.
chunked_dict_primitive_into_canonical[f64, (1000, 1000, 10)]test_scan_filter[int_float]test_scan_filter[int]test_scan_filter[int_str]test_repeated_scan[int_str]test_scan[int_str_float]test_scan_filter[int_str_float]take_indices[(10000, 4096)]decompress[u16, (4000, 256)]chunked_dict_primitive_canonical_into[u64, (1000, 1000, 10)]- …and 8 more
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.
⚡ 3 improved benchmarks
❌ 1 regressed benchmark
✅ 2243 untouched benchmarks
⏩ 12 skipped benchmarks1
Warning
Please fix the performance issues or acknowledge them on CodSpeed.
Performance Changes
| Mode | Benchmark | BASE |
HEAD |
Efficiency | |
|---|---|---|---|---|---|
| ❌ | WallTime | deferred_i64_avx2[PerRowPerRow] |
10.1 µs | 11.6 µs | -13.28% |
| ⚡ | 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% |
Tip
Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.
Comparing ji/parallel-datagen (4e79254) with develop (6eae823)
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. ↩