move optimizer code to scalar_fn_pushdown

[myrrc]

This is preparatory work for aggregate pushdown

[codspeed-hq]

Merging this PR will not alter performance

⚠️ 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.

⚡ 5 improved benchmarks
❌ 10 regressed benchmarks
✅ 1574 untouched benchmarks
⏩ 4 skipped benchmarks¹

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

	Mode	Benchmark	BASE	HEAD	Efficiency
❌	Simulation	take_map[(0.1, 1.0)]	1.7 ms	2.4 ms	-30.82%
❌	Simulation	take_map[(0.1, 0.5)]	983.2 µs	1,380.1 µs	-28.76%
❌	Simulation	take_map[(0.01, 1.0)]	1.2 ms	1.6 ms	-26.12%
❌	Simulation	take_map[(0.01, 0.1)]	161.1 µs	200 µs	-19.44%
❌	Simulation	chunked_varbinview_canonical_into[(1000, 10)]	155 µs	191.2 µs	-18.94%
❌	Simulation	slice_empty_vortex	339.4 ns	397.8 ns	-14.66%
❌	Simulation	take_map[(0.01, 0.05)]	106.3 µs	124.5 µs	-14.65%
❌	Simulation	take_map[(0.01, 0.5)]	605.1 µs	703.3 µs	-13.96%
❌	Simulation	take_map[(0.1, 0.1)]	456 µs	529.1 µs	-13.81%
❌	Simulation	take_map[(0.005, 1.0)]	1.1 ms	1.3 ms	-11.44%
⚡	Simulation	bitwise_not_vortex_buffer_mut[128]	244.4 ns	186.1 ns	+31.34%
⚡	Simulation	bitwise_not_vortex_buffer_mut[1024]	304.7 ns	246.4 ns	+23.68%
⚡	Simulation	bitwise_not_vortex_buffer_mut[2048]	398.6 ns	340.3 ns	+17.14%
⚡	Simulation	chunked_varbinview_canonical_into[(100, 100)]	259.8 µs	224.5 µs	+15.73%
⚡	Simulation	chunked_varbinview_into_canonical[(100, 100)]	306.3 µs	271.1 µs	+12.98%

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 myrrc/duckdb-move-optimizer (60ca692) with develop (ba00e83)}

Footnotes

1. 4 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. ↩