Add decimal vectors

[gatesn]

Tracking Issue: #5028

Missing from iterator and other construction functions, but the bones are there

[codecov]

Codecov Report

❌ Patch coverage is 2.27743% with 472 lines in your changes missing coverage. Please review.
✅ Project coverage is 84.79%. Comparing base (1cb3f21) to head (f778720).
⚠️ Report is 1 commits behind head on develop.

Files with missing lines	Patch %	Lines
vortex-vector/src/decimal/vector_mut.rs	0.00%	92 Missing ⚠️
vortex-vector/src/decimal/generic.rs	0.00%	71 Missing ⚠️
vortex-vector/src/decimal/vector.rs	0.00%	68 Missing ⚠️
vortex-dtype/src/decimal/precision.rs	0.00%	59 Missing ⚠️
vortex-vector/src/decimal/generic_mut.rs	0.00%	36 Missing ⚠️
vortex-compute/src/arrow/decimal.rs	0.00%	31 Missing ⚠️
vortex-vector/src/decimal/generic_mut_impl.rs	0.00%	20 Missing ⚠️
vortex-vector/src/decimal/mod.rs	0.00%	18 Missing ⚠️
vortex-compute/src/arrow/varbin.rs	0.00%	16 Missing ⚠️
vortex-compute/src/arrow/struct_.rs	0.00%	15 Missing ⚠️
... and 7 more

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[codspeed-hq]

CodSpeed Performance Report

Merging #5124 will degrade performances by 18.19%

_{Comparing ngates/decimal-vector2 (f778720) with develop (1cb3f21)}

Summary

❌ 75 regressions
✅ 1243 untouched
🆕 7 new
⏩ 99 skipped¹

⚠️ Please fix the performance issues or acknowledge them on CodSpeed.

Benchmarks breakdown

	Benchmark	BASE	HEAD	Change
❌	chunked_dict_primitive_canonical_into[f32, (1000, 10, 10)]	90.3 µs	104.3 µs	-13.41%
❌	chunked_dict_primitive_canonical_into[f32, (1000, 10, 100)]	698.2 µs	811.9 µs	-14%
❌	chunked_dict_primitive_canonical_into[f32, (1000, 100, 10)]	94.1 µs	108.2 µs	-13%
❌	chunked_dict_primitive_canonical_into[f32, (1000, 100, 100)]	714.5 µs	827.1 µs	-13.61%
❌	chunked_dict_primitive_canonical_into[f32, (1000, 1000, 10)]	112 µs	126.1 µs	-11.21%
❌	chunked_dict_primitive_canonical_into[f32, (1000, 1000, 100)]	901.9 µs	1,017.9 µs	-11.4%
❌	chunked_dict_primitive_canonical_into[f64, (1000, 10, 10)]	118 µs	132.6 µs	-10.97%
❌	chunked_dict_primitive_canonical_into[f64, (1000, 10, 100)]	985.1 µs	1,107.7 µs	-11.07%
❌	chunked_dict_primitive_canonical_into[f64, (1000, 100, 10)]	124.7 µs	139.5 µs	-10.62%
❌	chunked_dict_primitive_canonical_into[f64, (1000, 100, 100)]	988.8 µs	1,112.2 µs	-11.09%
❌	chunked_dict_primitive_canonical_into[u32, (1000, 10, 10)]	90.5 µs	104.4 µs	-13.36%
❌	chunked_dict_primitive_canonical_into[u32, (1000, 10, 100)]	717.3 µs	832.1 µs	-13.8%
❌	chunked_dict_primitive_canonical_into[u32, (1000, 100, 10)]	92.1 µs	106.1 µs	-13.17%
❌	chunked_dict_primitive_canonical_into[u32, (1000, 100, 100)]	721.6 µs	835.7 µs	-13.65%
❌	chunked_dict_primitive_canonical_into[u32, (1000, 1000, 10)]	109.7 µs	123.9 µs	-11.45%
❌	chunked_dict_primitive_canonical_into[u32, (1000, 1000, 100)]	901.8 µs	1,018.2 µs	-11.43%
❌	chunked_dict_primitive_canonical_into[u64, (1000, 10, 10)]	118.8 µs	132.7 µs	-10.46%
❌	chunked_dict_primitive_canonical_into[u64, (1000, 10, 100)]	960.6 µs	1,076.6 µs	-10.77%
❌	chunked_dict_primitive_canonical_into[u64, (1000, 100, 10)]	123.6 µs	138.1 µs	-10.51%
❌	chunked_dict_primitive_canonical_into[u64, (1000, 100, 100)]	1 ms	1.1 ms	-10.55%
...	...	...	...	...

ℹ️ Only the first 20 benchmarks are displayed. Go to the app to view all benchmarks.

Footnotes

1. 99 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. ↩