[connortsui20]

Summary

• Tracking Issue: Epic: Row-oriented scalar functions #9128

Extracts batch setup from #9979 into a private borrowed-input boundary. Input lengths, dtypes, constants, and strict validity are inspected together before attaching the dispatch-selected execution plan.

Targets develop and can merge independently. #10675 and #10676 use the borrowed batch entry point introduced here.

Changes

Keeps constant classification, input ownership, and execution metadata inside the framework. General execution still collects owned inputs and uses the existing dispatch and retry paths. Function IDs are deferred during inspection until an error needs them, with the supporting CachedId inlining change kept here.

The Vortex test suite was not run locally. Focused native measurements of the combined migration were run separately during the compiler investigation.

[codspeed]

Merging this PR will degrade performance by 15.14%

3 warnings, 1 note

⚠️ Walltime results may be unreliable

Some benchmarks used the Walltime instrument outside CodSpeed Macro Runners, which can make the results inconsistent.

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⚠️ 19 benchmarks are dominated by system calls

System 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.

Learn more about system calls

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⚠️ Base and head ran on different runner types

Some 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.

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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.

See affected benchmarks

⚡ 5 improved benchmarks
❌ 5 regressed benchmarks
✅ 2398 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	67.1 µs	-80.62%
❌	CPU Simulation	density_sweep_dense_runs[0.001]	44.5 µs	61.3 µs	-27.3%
❌	Walltime	threshold_neon[8]	2.4 µs	3 µs	-19.04%
❌	Walltime	bitpack_blocked_compress_avx512	4.9 µs	5.7 µs	-13.78%
❌	CPU Simulation	random_i8[0.01]	103.5 µs	116 µs	-10.74%
⚡	CPU Simulation	random_i128[0.01]	5.3 µs	4.1 µs	+30.03%
⚡	Walltime	threshold_neon[64]	4.3 µs	3.7 µs	+18%
⚡	CPU Simulation	stats_compute_is_constant_cached	112.8 µs	99.5 µs	+13.45%
⚡	Walltime	filter_neon[8]	1.7 µs	1.6 µs	+12.7%
⚡	Walltime	bitpack_blocked_compress_avx2	7.6 µs	6.8 µs	+12.48%

Tip

Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.

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_{Comparing ct/row-fn-cleanup/batch-inputs (d3afc24) with develop (dbaf5f8)}

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. ↩