Feature: add `take` for primitive and bool vectors by connortsui20 · Pull Request #5540 · vortex-data/vortex

Performance Regression: -12.73%

⚡ 1 improvement
❌ 2 regressions
✅ 1148 untouched
🆕 48 new
⏩ 624 skipped¹

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

	Benchmark	`BASE`	`HEAD`	Change
⚡	`encode_varbin[(1000, 2)]`	244.2 µs	220.1 µs	+10.98%
❌	`take_map[(0.05, 1.0)]`	3.5 ms	4 ms	-11.7%
❌	`take_map[(0.1, 1.0)]`	4.2 ms	4.8 ms	-12.73%
🆕	`dict_canonicalize_uniform[16, 10000]`	N/A	76.7 µs	N/A
🆕	`dict_canonicalize_uniform[16, 1000]`	N/A	29.3 µs	N/A
🆕	`dict_canonicalize_uniform[2048, 100000]`	N/A	559.3 µs	N/A
🆕	`dict_canonicalize_uniform[16, 100000]`	N/A	555.2 µs	N/A
🆕	`dict_canonicalize_uniform[2048, 1000]`	N/A	33.1 µs	N/A
🆕	`dict_canonicalize_uniform[2048, 10000]`	N/A	80.4 µs	N/A
🆕	`dict_canonicalize_zipfian[16, 100000]`	N/A	555.1 µs	N/A
🆕	`dict_canonicalize_uniform[256, 10000]`	N/A	77.2 µs	N/A
🆕	`dict_canonicalize_uniform[8192, 10000]`	N/A	94.1 µs	N/A
🆕	`dict_canonicalize_uniform[256, 1000]`	N/A	29.6 µs	N/A
🆕	`pvector_take_zipfian[2048, 10000]`	N/A	60.9 µs	N/A
🆕	`dict_canonicalize_uniform[8192, 1000]`	N/A	42.2 µs	N/A
🆕	`dict_canonicalize_uniform[256, 100000]`	N/A	555.9 µs	N/A
🆕	`dict_canonicalize_zipfian[2048, 10000]`	N/A	80.5 µs	N/A
🆕	`dict_canonicalize_uniform[8192, 100000]`	N/A	598.6 µs	N/A
🆕	`pvector_take_zipfian[2048, 100000]`	N/A	539.7 µs	N/A
🆕	`dict_canonicalize_zipfian[2048, 100000]`	N/A	559.5 µs	N/A
...	...	...	...	...

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624 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. ↩