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Reclassify and simplify error types - #10080

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claude/affectionate-keller-4j7w5g
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claude/affectionate-keller-4j7w5g

Put VortexError's payload behind one Arc

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CodSpeed / CodSpeed Performance Analysis failed Oct 16, 2026

14 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

⚠️ 20 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

⚠️ 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

⚡ 14 improved benchmarks
❌ 14 regressed benchmarks
✅ 2231 untouched benchmarks
🗄️ 31 archived benchmarks run1

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

Mode Benchmark BASE HEAD Efficiency
❌ Simulation decode_bool_nullable[10000_2_alternating_mostly_valid] 367.9 µs 470.1 µs -21.74%
❌ Simulation decode_bool_nullable[10000_10_mostly_true_mostly_valid] 89.5 µs 111.1 µs -19.38%
❌ Simulation decode_bool_nullable[10000_10_alternating_mostly_null] 90.2 µs 111.7 µs -19.18%
❌ Simulation decode_bool_nullable[10000_10_alternating_half_valid] 108.8 µs 127.6 µs -14.71%
❌ Simulation decode_bool_nullable[10000_10_alternating_mostly_valid] 119.5 µs 139.7 µs -14.43%
❌ Simulation decode_bool_nullable[10000_10_mostly_true_half_valid] 111.6 µs 130.2 µs -14.27%
❌ Simulation decode_bool_nullable[10000_10_mostly_true_mostly_null] 112.7 µs 129.7 µs -13.1%
❌ Simulation test_scan_filter_to_arrow_array[int_float] 3.5 ms 4 ms -13%
❌ WallTime starts_with_avx512[64, VarBin] 54 µs 62 µs -12.91%
❌ WallTime starts_with_avx2[8, VarBin] 41 µs 46.9 µs -12.7%
❌ Simulation rank_indices[(0.05, 0.05, "self_sparse_rank_sparse")] 48.8 µs 55.5 µs -12.13%
❌ Simulation from_bool_slice[1024] 3.4 µs 3.8 µs -10.94%
❌ Simulation test_repeated_scan_filter[int_float] 3.4 ms 3.8 ms -10.38%
❌ Simulation split[(65536, Microseconds)] 2.1 ms 2.4 ms -10.37%
⚡ ⚠️ Simulation random_i128[0.01] 5.9 µs 3.7 µs +61.53%
⚡ ⚠️ Simulation density_sweep_dense_runs[0.001] 47.4 µs 30.5 µs +55.23%
⚡ Simulation validate_struct8 383.5 µs 287.2 µs +33.53%
⚡ Simulation test_repeated_scan_scalar_at[int_float] 486.7 µs 379.4 µs +28.3%
⚡ Simulation sum_i64 225.4 µs 191.9 µs +17.45%
⚡ WallTime threshold_neon[80] 4.2 µs 3.6 µs +16.15%
... ... ... ... ... ...

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 claude/affectionate-keller-4j7w5g (59e77bd) with develop (18aebea)

Open in CodSpeed

Footnotes

  1. 31 benchmarks were run, but are now archived. If they were deleted in another branch, consider rebasing to remove them from the report. Instead if they were added back, click here to restore them. ↩