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[WIP] Bump Apache DF to 55 - #9334

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[WIP] Bump Apache DF to 55#9334
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adamg/df-55

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CodSpeed HQ / CodSpeed Performance Analysis failed Aug 10, 2026

Performance Regression: -2.18%

⚠️ 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.

⚠️ 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

⚡ 27 improved benchmarks
❌ 22 regressed benchmarks
✅ 1938 untouched benchmarks
⏩ 42 skipped benchmarks1

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

Mode Benchmark BASE HEAD Efficiency
Simulation set_indices_vortex_buffer[65536] 121.2 µs 182.6 µs -33.64%
Simulation set_indices_vortex_buffer[16384] 31.6 µs 47.1 µs -32.93%
Simulation compact_sliced[(16384, 10)] 1.4 ms 2 ms -28.55%
Simulation set_indices_vortex_buffer[2048] 5.4 µs 7.5 µs -27.89%
Simulation compact_sliced[(4096, 10)] 385.2 µs 527.6 µs -27%
Simulation in_place_non_nullable[65536] 49.2 µs 66.5 µs -26.1%
Simulation copy_nullable[65536] 1.3 ms 1.7 ms -26.03%
Simulation set_indices_vortex_buffer[1024] 3.6 µs 4.7 µs -24.29%
Simulation decompress[u64, (10000, 4)] 318 µs 403.8 µs -21.24%
Simulation primitive_i64_vortex 3.3 ms 4 ms -18.23%
Simulation set_indices[(16384, 0.01)] 13.5 µs 16.2 µs -16.7%
Simulation div_decimal_i64_nonnull 942.2 µs 1,114.9 µs -15.49%
WallTime cuda/bitpacked_u8/unpack/3bw[100M] 299.2 µs 350.9 µs -14.74%
Simulation new_raw_prim_test_between[i32, 2048] 76.7 µs 88.7 µs -13.56%
Simulation set_indices[(16384, 0.1)] 36.1 µs 41.8 µs -13.52%
Simulation set_indices[(16384, 0.5)] 137.3 µs 156.3 µs -12.2%
Simulation set_indices[(16384, 0.9)] 237.9 µs 269.7 µs -11.77%
Simulation set_indices[(16384, 0.99)] 256 µs 289.4 µs -11.57%
Simulation compress_fsst[(1000, 64, 8)] 1 ms 1.2 ms -10.86%
Simulation compress_alp[f32, (10000, 0.01, 1.0)] 395.2 µs 442.5 µs -10.69%
... ... ... ... ... ...

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 adamg/df-55 (ba2ac36) with develop (4b37237)

Open in CodSpeed

Footnotes

  1. 42 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.