[robert3005]

The scaled-down integer to decimal cast selects its carrier as max(carrier(S), T). The source type S and the target type T fix the carrier, but match_each_decimal_value_type! compiled the kernel for all six decimal widths in each of the 48 (S, T) pairs. An if const condition now removes the five arms that cannot match before code generation. The arm that runs is the same as before.

primitive_decimal_carrier_type becomes a const fn so that the condition can use it.

	before	after
vortex-array release __text (macOS arm64)	14,012,988 B	13,697,852 B (-315 KB)
vortex-array LLVM IR lines	5,405,422	5,200,767

[codspeed]

Merging this PR will degrade performance by 22.72%

4 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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⚠️ Unable to measure the execution of 2 benchmarks

These benchmarks measured no execution time, so their results are not comparable and count as unchanged. This usually happens when the compiler removes the code under test.

Prevent compiler optimizations

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⚠️ 21 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

⚡ 2 improved benchmarks
❌ 9 regressed benchmarks
✅ 2428 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[(3333, 10000)]	32.9 µs	71.8 µs	-54.14%
❌	Walltime	filter_neon[64]	1.8 µs	3.4 µs	-47.11%
❌	Walltime	filter_neon[8]	926 ns	1,746 ns	-46.96%
❌	CPU Simulation	filter_powerlaw_by_random[250000]	131.3 µs	175.7 µs	-25.26%
❌	Walltime	filter_neon[80]	2.5 µs	3.2 µs	-21.64%
❌	Walltime	threshold_neon[80]	3.3 µs	4.1 µs	-19.67%
❌	Walltime	threshold_neon[64]	2.6 µs	3.1 µs	-17.35%
❌	Walltime	threshold_neon[8]	1.4 µs	1.6 µs	-13.53%
❌	CPU Simulation	max_f64	281.8 µs	315.2 µs	-10.61%
⚡	CPU Simulation	chunked_dict_primitive_canonical_into[f64, (1000, 1000, 10)]	203.3 µs	148.5 µs	+36.84%
⚡	CPU Simulation	decompress[u16, (4000, 256)]	62.5 µs	56.3 µs	+11.01%

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 rk/size-decimal-cast-carrier (1a0cd7a) with develop (76d8371)}

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. ↩

[connortsui20]

this will likely be different after the changes Im planning on making in #10733