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Weekly TPC-H SF1000 with memory monitoring; fix DataFusion Vortex scan over-decoding - #10567

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Fix DataFusion Vortex scan over-decoding; add a spilling SF1000 pass

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CodSpeed / CodSpeed Performance Analysis failed Oct 16, 2026 in 0s

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.

⚠️ 1 benchmark measured no execution time

Nothing ran under measurement, usually because the compiler removed the code under test. This result is not comparable, so it counts as unchanged.

Preventing compiler optimizations

⚠️ 16 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

⚡ 25 improved benchmarks
❌ 3 regressed benchmarks
✅ 2359 untouched benchmarks
⏩ 12 skipped benchmarks1

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

Mode Benchmark BASE HEAD Efficiency
❌ ℹ️ Simulation test_scan_filter_to_arrow_array[int_float] 3.5 ms 4.1 ms -13.63%
❌ ℹ️ Simulation test_repeated_scan_filter[int_float] 3.4 ms 3.9 ms -10.95%
❌ ℹ️ Simulation test_repeated_scan_filter[int] 2.5 ms 2.7 ms -10.24%
⚡ WallTime threshold_neon[8] 2.4 µs 1.3 µs +79.33%
⚡ WallTime filter_neon[8] 1,339 ns 921 ns +45.39%
⚡ WallTime threshold_neon[80] 4.9 µs 3.4 µs +44.31%
⚡ WallTime threshold_neon[64] 3.5 µs 2.5 µs +38.34%
⚡ WallTime filter_neon[64] 2.3 µs 1.8 µs +30.44%
⚡ Simulation isolated_runs[u64, (161, 944)] 168.2 µs 137.8 µs +22.06%
⚡ Simulation embedding_code_runs_expanded_baseline[4096] 1.9 ms 1.6 ms +20.63%
⚡ Simulation embedding_code_runs_expanded_baseline[2048] 1,016.3 µs 850.6 µs +19.48%
⚡ Simulation embedding_code_runs_expanded_baseline[1024] 548.4 µs 465.2 µs +17.89%
⚡ Simulation isolated_runs[u64, (256, 896)] 219.7 µs 189.3 µs +16.07%
⚡ Simulation embedding_runs_expanded_baseline[1024] 609 µs 525.7 µs +15.85%
⚡ Simulation embedding_runs_expanded_baseline[1536] 913.6 µs 789.1 µs +15.77%
⚡ Simulation fragmented_runs_expanded_baseline[1024] 623.2 µs 540.2 µs +15.36%
⚡ Simulation embedding_code_runs_expanded_baseline[512] 319.9 µs 278.9 µs +14.71%
⚡ Simulation embedding_runs_expanded_baseline[768] 516.1 µs 454.7 µs +13.51%
⚡ WallTime bitpack_blocked_compress_avx2 7.6 µs 6.7 µs +13.26%
⚡ Simulation fragmented_runs_expanded_baseline[512] 369.9 µs 329 µs +12.44%
... ... ... ... ... ...

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 ji/tpch-sf1000-weekly (5aae915) with develop (6289e58)2

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. ↩

  2. No successful run was found on develop (bc9e0e6) during the generation of this report, so 6289e58 was used instead as the comparison base. There might be some changes unrelated to this pull request in this report. ↩