Reuse compression/decompression results in compression benchmarks by robert3005 · Pull Request #9744 · vortex-data/vortex

robert3005 · 2026-09-03T11:05:51Z

Avoid decompressing and reloading files multiple times in benchmark run

Signed-off-by: Robert Kruszewski <github@robertk.io>

codspeed-hq · 2026-09-03T11:15:05Z

Merging this PR will regress 1 benchmark

⚠️

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.

⚠️

Different runtime environments detected

Some benchmarks with significant performance changes were compared across different runtime environments,
which may affect the accuracy of the results.

Open the report in CodSpeed to investigate

⚡ 7 improved benchmarks
❌ 1 regressed benchmark
✅ 2191 untouched benchmarks
⏩ 206 skipped benchmarks¹

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

	Mode	Benchmark	`BASE`	`HEAD`	Efficiency
❌	Simulation	`random_i16[0.8]`	74.2 µs	92.5 µs	-19.76%
⚡	WallTime	`arrow_checked_add_u32_neon[16384]`	20.5 µs	12.8 µs	+60.35%
⚡	Simulation	`random_i8[0.5]`	90.6 µs	67 µs	+35.25%
⚡	Simulation	`decompress[u64, (4000, 1024)]`	85.5 µs	70.3 µs	+21.59%
⚡	WallTime	`arrow_checked_add_u32_avx2[16384]`	21.4 µs	17.7 µs	+20.98%
⚡	Simulation	`allocate_drop_arrow[0]`	456.9 ns	402.7 ns	+13.45%
⚡	WallTime	`mul_u32_nonnull_avx512`	6.3 µs	5.6 µs	+11.86%
⚡	Simulation	`allocate_drop_bytes[0]`	520.2 ns	466 ns	+11.62%

Tip

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

_{Comparing rk/compressionbench (c7361f2) with develop (265b705)}

206 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. ↩

Signed-off-by: Robert Kruszewski <github@robertk.io>

github-actions · 2026-09-03T21:25:07Z

Polar Signals Profiling Results

Latest Run

Status	Commit	Job	Attempt	Link
🟢 Done	`fc2a30c`	compress-bench	1	Explore Profiling Data

Powered by Polar Signals Cloud

github-actions · 2026-09-03T21:38:01Z

Benchmarks: Compression 📖

Commits: PR fc2a30c0 vs base 792cef74

vortex / vortex-file-compressed / ns (0.785x ✅, 14↑ 1↓)

name	ns (PR / base / %diff)
compress time/Arade	579701694 / 1173457064 / -50.6% 🟢
compress time/Bimbo	3368331824 / 5062112092 / -33.5% 🟢
compress time/CMSprovider	1274139808 / 4026792967 / -68.4% 🟢
compress time/Euro2016	261920627 / 524481612 / -50.1% 🟢
compress time/Food	272120602 / 433961311 / -37.3% 🟢
compress time/HashTags	430240085 / 879075118 / -51.1% 🟢
compress time/TPC-H l_comment canonical	536217619 / 1194031130 / -55.1% 🟢
compress time/TPC-H l_comment chunked	553897452 / 1171588937 / -52.7% 🟢
compress time/taxi	290872780 / 557440930 / -47.8% 🟢
compress time/wide table cols=100 chunks=1 rows=1000	8170101 / 8107505 / +0.8%
compress time/wide table cols=100 chunks=50 rows=1000	8374346 / 8497328 / -1.4%
compress time/wide table cols=1000 chunks=1 rows=1000	81520838 / 84263736 / -3.3%
compress time/wide table cols=1000 chunks=50 rows=1000	81873222 / 84524961 / -3.1%
compress time/wide table cols=10000 chunks=1 rows=1000	963379320 / 980849956 / -1.8%
compress time/wide table cols=10000 chunks=50 rows=1000	973425600 / 972116618 / +0.1%
decompress time/Arade	25347792 / 26001352 / -2.5%
decompress time/Bimbo	87065661 / 91779375 / -5.1%
decompress time/CMSprovider	67780247 / 72839252 / -6.9%
decompress time/Euro2016	15494241 / 15555604 / -0.4%
decompress time/Food	8207551 / 7000742 / +17.2% 🔴
decompress time/HashTags	97033839 / 108364467 / -10.5% 🟢
decompress time/TPC-H l_comment canonical	33135708 / 34641468 / -4.3%
decompress time/TPC-H l_comment chunked	33329764 / 34924803 / -4.6%
decompress time/taxi	13854866 / 14132673 / -2.0%
decompress time/wide table cols=100 chunks=1 rows=1000	2082667 / 2342811 / -11.1% 🟢
decompress time/wide table cols=100 chunks=50 rows=1000	2114096 / 2413617 / -12.4% 🟢
decompress time/wide table cols=1000 chunks=1 rows=1000	20439682 / 22840839 / -10.5% 🟢
decompress time/wide table cols=1000 chunks=50 rows=1000	20484015 / 22587781 / -9.3%
decompress time/wide table cols=10000 chunks=1 rows=1000	241573830 / 251218578 / -3.8%
decompress time/wide table cols=10000 chunks=50 rows=1000	242671707 / 277275144 / -12.5% 🟢

vortex / vortex-file-compressed / bytes (1.000x ➖, 0↑ 0↓)

name	bytes (PR / base / %diff)
vortex-file-compressed size/Arade	144460980 / 144460980 / +0.0%
vortex-file-compressed size/Bimbo	461842908 / 461842908 / +0.0%
vortex-file-compressed size/CMSprovider	415192460 / 415192460 / +0.0%
vortex-file-compressed size/Euro2016	157458700 / 157674404 / -0.1%
vortex-file-compressed size/Food	41581624 / 41581624 / +0.0%
vortex-file-compressed size/HashTags	177840324 / 177840364 / -0.0%
vortex-file-compressed size/TPC-H l_comment canonical	163453384 / 163453384 / +0.0%
vortex-file-compressed size/TPC-H l_comment chunked	163453384 / 163453384 / +0.0%
vortex-file-compressed size/taxi	51475172 / 51475172 / +0.0%
vortex-file-compressed size/wide table cols=100 chunks=1 rows=1000	932744 / 932744 / +0.0%
vortex-file-compressed size/wide table cols=100 chunks=50 rows=1000	932744 / 932744 / +0.0%
vortex-file-compressed size/wide table cols=1000 chunks=1 rows=1000	9309944 / 9309944 / +0.0%
vortex-file-compressed size/wide table cols=1000 chunks=50 rows=1000	9309944 / 9309944 / +0.0%
vortex-file-compressed size/wide table cols=10000 chunks=1 rows=1000	93117944 / 93117944 / +0.0%
vortex-file-compressed size/wide table cols=10000 chunks=50 rows=1000	93117944 / 93117944 / +0.0%

vortex / vortex-file-compressed / ratio (0.852x ✅, 13↑ 2↓)

name	ratio (PR / base / %diff)
vortex:parquet-zstd ratio compress time/Arade	0.199628265 / 0.410925518 / -51.4% 🟢
vortex:parquet-zstd ratio compress time/Bimbo	0.238403401 / 0.365013892 / -34.7% 🟢
vortex:parquet-zstd ratio compress time/CMSprovider	0.166675711 / 0.524457567 / -68.2% 🟢
vortex:parquet-zstd ratio compress time/Euro2016	0.173700375 / 0.34686689 / -49.9% 🟢
vortex:parquet-zstd ratio compress time/Food	0.304926877 / 0.477408633 / -36.1% 🟢
vortex:parquet-zstd ratio compress time/HashTags	0.17691294 / 0.363981168 / -51.4% 🟢
vortex:parquet-zstd ratio compress time/TPC-H l_comment canonical	0.145452614 / 0.326458599 / -55.4% 🟢
vortex:parquet-zstd ratio compress time/TPC-H l_comment chunked	0.150944546 / 0.318213819 / -52.6% 🟢
vortex:parquet-zstd ratio compress time/taxi	0.214965132 / 0.415096165 / -48.2% 🟢
vortex:parquet-zstd ratio compress time/wide table cols=100 chunks=1 rows=1000	1.56639306 / 1.61315358 / -2.9%
vortex:parquet-zstd ratio compress time/wide table cols=100 chunks=50 rows=1000	1.56477156 / 1.68235004 / -7.0%
vortex:parquet-zstd ratio compress time/wide table cols=1000 chunks=1 rows=1000	1.26579248 / 1.35020408 / -6.3%
vortex:parquet-zstd ratio compress time/wide table cols=1000 chunks=50 rows=1000	1.2846255 / 1.34628438 / -4.6%
vortex:parquet-zstd ratio compress time/wide table cols=10000 chunks=1 rows=1000	1.40032921 / 1.32391917 / +5.8%
vortex:parquet-zstd ratio compress time/wide table cols=10000 chunks=50 rows=1000	1.45099059 / 1.30873318 / +10.9% 🔴
vortex:parquet-zstd ratio decompress time/Arade	0.0367201499 / 0.036888534 / -0.5%
vortex:parquet-zstd ratio decompress time/Bimbo	0.0449777681 / 0.0481243261 / -6.5%
vortex:parquet-zstd ratio decompress time/CMSprovider	0.035772469 / 0.0381031485 / -6.1%
vortex:parquet-zstd ratio decompress time/Euro2016	0.0375537993 / 0.0374453672 / +0.3%
vortex:parquet-zstd ratio decompress time/Food	0.0379757039 / 0.0316199793 / +20.1% 🔴
vortex:parquet-zstd ratio decompress time/HashTags	0.145754153 / 0.158832893 / -8.2%
vortex:parquet-zstd ratio decompress time/TPC-H l_comment canonical	0.0503065697 / 0.0522666296 / -3.8%
vortex:parquet-zstd ratio decompress time/TPC-H l_comment chunked	0.0505980729 / 0.0528514094 / -4.3%
vortex:parquet-zstd ratio decompress time/taxi	0.0508196459 / 0.0498121621 / +2.0%
vortex:parquet-zstd ratio decompress time/wide table cols=100 chunks=1 rows=1000	0.861944706 / 1.01127252 / -14.8% 🟢
vortex:parquet-zstd ratio decompress time/wide table cols=100 chunks=50 rows=1000	0.851079864 / 1.0406159 / -18.2% 🟢
vortex:parquet-zstd ratio decompress time/wide table cols=1000 chunks=1 rows=1000	0.75879367 / 0.857924442 / -11.6% 🟢
vortex:parquet-zstd ratio decompress time/wide table cols=1000 chunks=50 rows=1000	0.782106371 / 0.842788026 / -7.2%
vortex:parquet-zstd ratio decompress time/wide table cols=10000 chunks=1 rows=1000	0.827512398 / 0.842556898 / -1.8%
vortex:parquet-zstd ratio decompress time/wide table cols=10000 chunks=50 rows=1000	0.823159665 / 0.917023088 / -10.2% 🟢
vortex:parquet-zstd size/Arade	0.559895285 / 0.559895285 / -0.0%
vortex:parquet-zstd size/Bimbo	1.20109789 / 1.20109789 / -0.0%
vortex:parquet-zstd size/CMSprovider	1.1016338 / 1.1016338 / -0.0%
vortex:parquet-zstd size/Euro2016	1.28037012 / 1.28212411 / -0.1%
vortex:parquet-zstd size/Food	1.16476769 / 1.16476769 / -0.0%
vortex:parquet-zstd size/HashTags	1.33216131 / 1.33216161 / -0.0%
vortex:parquet-zstd size/TPC-H l_comment canonical	1.03217481 / 1.03217481 / -0.0%
vortex:parquet-zstd size/TPC-H l_comment chunked	1.03217481 / 1.03217481 / -0.0%
vortex:parquet-zstd size/taxi	0.931110481 / 0.931110481 / -0.0%
vortex:parquet-zstd size/wide table cols=100 chunks=1 rows=1000	1.00036465 / 1.00036465 / -0.0%
vortex:parquet-zstd size/wide table cols=100 chunks=50 rows=1000	1.00036465 / 1.00036465 / -0.0%
vortex:parquet-zstd size/wide table cols=1000 chunks=1 rows=1000	0.998492064 / 0.998492064 / -0.0%
vortex:parquet-zstd size/wide table cols=1000 chunks=50 rows=1000	0.998492064 / 0.998492064 / -0.0%
vortex:parquet-zstd size/wide table cols=10000 chunks=1 rows=1000	0.998690905 / 0.998690905 / -0.0%
vortex:parquet-zstd size/wide table cols=10000 chunks=50 rows=1000	0.998690905 / 0.998690905 / -0.0%

vortex / parquet / ns (0.998x ➖, 0↑ 0↓)

name	ns (PR / base / %diff)
parquet_rs-zstd compress time/Arade	2903905885 / 2855644183 / +1.7%
parquet_rs-zstd compress time/Bimbo	14128707115 / 13868272425 / +1.9%
parquet_rs-zstd compress time/CMSprovider	7644424037 / 7678014817 / -0.4%
parquet_rs-zstd compress time/Euro2016	1507887519 / 1512054415 / -0.3%
parquet_rs-zstd compress time/Food	892412649 / 908993430 / -1.8%
parquet_rs-zstd compress time/HashTags	2431931121 / 2415166486 / +0.7%
parquet_rs-zstd compress time/TPC-H l_comment canonical	3686545095 / 3657526966 / +0.8%
parquet_rs-zstd compress time/TPC-H l_comment chunked	3669542676 / 3681766365 / -0.3%
parquet_rs-zstd compress time/taxi	1353116096 / 1342919971 / +0.8%
parquet_rs-zstd compress time/wide table cols=100 chunks=1 rows=1000	5215869 / 5025873 / +3.8%
parquet_rs-zstd compress time/wide table cols=100 chunks=50 rows=1000	5351801 / 5050868 / +6.0%
parquet_rs-zstd compress time/wide table cols=1000 chunks=1 rows=1000	64403004 / 62408148 / +3.2%
parquet_rs-zstd compress time/wide table cols=1000 chunks=50 rows=1000	63733144 / 62783883 / +1.5%
parquet_rs-zstd compress time/wide table cols=10000 chunks=1 rows=1000	687966309 / 740868461 / -7.1%
parquet_rs-zstd compress time/wide table cols=10000 chunks=50 rows=1000	670869686 / 742792065 / -9.7%
parquet_rs-zstd decompress time/Arade	690296529 / 704862709 / -2.1%
parquet_rs-zstd decompress time/Bimbo	1935748809 / 1907130602 / +1.5%
parquet_rs-zstd decompress time/CMSprovider	1894760103 / 1911633418 / -0.9%
parquet_rs-zstd decompress time/Euro2016	412587842 / 415421323 / -0.7%
parquet_rs-zstd decompress time/Food	216126369 / 221402485 / -2.4%
parquet_rs-zstd decompress time/HashTags	665736359 / 682254570 / -2.4%
parquet_rs-zstd decompress time/TPC-H l_comment canonical	658675561 / 662783659 / -0.6%
parquet_rs-zstd decompress time/TPC-H l_comment chunked	658716075 / 660811195 / -0.3%
parquet_rs-zstd decompress time/taxi	272628149 / 283719325 / -3.9%
parquet_rs-zstd decompress time/wide table cols=100 chunks=1 rows=1000	2416242 / 2316696 / +4.3%
parquet_rs-zstd decompress time/wide table cols=100 chunks=50 rows=1000	2484016 / 2319412 / +7.1%
parquet_rs-zstd decompress time/wide table cols=1000 chunks=1 rows=1000	26937075 / 26623369 / +1.2%
parquet_rs-zstd decompress time/wide table cols=1000 chunks=50 rows=1000	26190830 / 26801260 / -2.3%
parquet_rs-zstd decompress time/wide table cols=10000 chunks=1 rows=1000	291927747 / 298162152 / -2.1%
parquet_rs-zstd decompress time/wide table cols=10000 chunks=50 rows=1000	294805148 / 302364409 / -2.5%

vortex / parquet / bytes (1.000x ➖, 0↑ 0↓)

name	bytes (PR / base / %diff)
parquet size/Arade	258014282 / 258014282 / +0.0%
parquet size/Bimbo	384517292 / 384517292 / +0.0%
parquet size/CMSprovider	376887911 / 376887911 / +0.0%
parquet size/Euro2016	122979049 / 122979049 / +0.0%
parquet size/Food	35699500 / 35699500 / +0.0%
parquet size/HashTags	133497590 / 133497590 / +0.0%
parquet size/TPC-H l_comment canonical	158358238 / 158358238 / +0.0%
parquet size/TPC-H l_comment chunked	158358238 / 158358238 / +0.0%
parquet size/taxi	55283635 / 55283635 / +0.0%
parquet size/wide table cols=100 chunks=1 rows=1000	932404 / 932404 / +0.0%
parquet size/wide table cols=100 chunks=50 rows=1000	932404 / 932404 / +0.0%
parquet size/wide table cols=1000 chunks=1 rows=1000	9324004 / 9324004 / +0.0%
parquet size/wide table cols=1000 chunks=50 rows=1000	9324004 / 9324004 / +0.0%
parquet size/wide table cols=10000 chunks=1 rows=1000	93240004 / 93240004 / +0.0%
parquet size/wide table cols=10000 chunks=50 rows=1000	93240004 / 93240004 / +0.0%

vortex / arrow-ipc / ns (0.961x ➖, 5↑ 0↓)

name	ns (PR / base / %diff)
arrow-ipc compress time/Arade	208047778 / 270802755 / -23.2% 🟢
arrow-ipc compress time/Bimbo	1643796243 / 1768629459 / -7.1%
arrow-ipc compress time/CMSprovider	1144146513 / 1453431634 / -21.3% 🟢
arrow-ipc compress time/Euro2016	93500156 / 98501828 / -5.1%
arrow-ipc compress time/Food	70847283 / 74079297 / -4.4%
arrow-ipc compress time/HashTags	197482861 / 291491710 / -32.3% 🟢
arrow-ipc compress time/TPC-H l_comment canonical	2127988832 / 2129153939 / -0.1%
arrow-ipc compress time/TPC-H l_comment chunked	2087936411 / 2121778879 / -1.6%
arrow-ipc compress time/taxi	170132800 / 160615016 / +5.9%
arrow-ipc compress time/wide table cols=100 chunks=1 rows=1000	367177 / 414441 / -11.4% 🟢
arrow-ipc compress time/wide table cols=100 chunks=50 rows=1000	358674 / 407735 / -12.0% 🟢
arrow-ipc compress time/wide table cols=1000 chunks=1 rows=1000	4625366 / 4930121 / -6.2%
arrow-ipc compress time/wide table cols=1000 chunks=50 rows=1000	4682552 / 4946489 / -5.3%
arrow-ipc compress time/wide table cols=10000 chunks=1 rows=1000	56957150 / 56556134 / +0.7%
arrow-ipc compress time/wide table cols=10000 chunks=50 rows=1000	55506177 / 56649310 / -2.0%
arrow-ipc decompress time/Arade	187885060 / 185753923 / +1.1%
arrow-ipc decompress time/Bimbo	585683761 / 592638199 / -1.2%
arrow-ipc decompress time/CMSprovider	690048008 / 715741545 / -3.6%
arrow-ipc decompress time/Euro2016	95567731 / 96372573 / -0.8%
arrow-ipc decompress time/Food	64765104 / 65549547 / -1.2%
arrow-ipc decompress time/HashTags	208482325 / 209955386 / -0.7%
arrow-ipc decompress time/TPC-H l_comment canonical	1052150647 / 1033293616 / +1.8%
arrow-ipc decompress time/TPC-H l_comment chunked	1022848225 / 1046224757 / -2.2%
arrow-ipc decompress time/taxi	73650584 / 72221291 / +2.0%
arrow-ipc decompress time/wide table cols=100 chunks=1 rows=1000	407301 / 390724 / +4.2%
arrow-ipc decompress time/wide table cols=100 chunks=50 rows=1000	411560 / 395360 / +4.1%
arrow-ipc decompress time/wide table cols=1000 chunks=1 rows=1000	4226142 / 4140209 / +2.1%
arrow-ipc decompress time/wide table cols=1000 chunks=50 rows=1000	4376866 / 4065180 / +7.7%
arrow-ipc decompress time/wide table cols=10000 chunks=1 rows=1000	53350934 / 50926584 / +4.8%
arrow-ipc decompress time/wide table cols=10000 chunks=50 rows=1000	52714394 / 50569984 / +4.2%

vortex / arrow-ipc / bytes (1.000x ➖, 0↑ 0↓)

name	bytes (PR / base / %diff)
arrow-ipc size/Arade	691765162 / 691765162 / +0.0%
arrow-ipc size/Bimbo	3279590114 / 3279590114 / +0.0%
arrow-ipc size/CMSprovider	2422259682 / 2422259682 / +0.0%
arrow-ipc size/Euro2016	360582666 / 360582666 / +0.0%
arrow-ipc size/Food	255782338 / 255782338 / +0.0%
arrow-ipc size/HashTags	704785810 / 704785810 / +0.0%
arrow-ipc size/TPC-H l_comment canonical	4852929378 / 4852929378 / +0.0%
arrow-ipc size/TPC-H l_comment chunked	4852929378 / 4852929378 / +0.0%
arrow-ipc size/taxi	482329690 / 482329690 / +0.0%
arrow-ipc size/wide table cols=100 chunks=1 rows=1000	1257290 / 1257290 / +0.0%
arrow-ipc size/wide table cols=100 chunks=50 rows=1000	1257290 / 1257290 / +0.0%
arrow-ipc size/wide table cols=1000 chunks=1 rows=1000	12568506 / 12568506 / +0.0%
arrow-ipc size/wide table cols=1000 chunks=50 rows=1000	12568506 / 12568506 / +0.0%
arrow-ipc size/wide table cols=10000 chunks=1 rows=1000	125752506 / 125752506 / +0.0%
arrow-ipc size/wide table cols=10000 chunks=50 rows=1000	125752506 / 125752506 / +0.0%

Reusing one Vortex array across iterations let every run after the first find its statistics already cached, so the timed region shrank to just the encoding. Reset the input before each iteration so the measurement matches a fresh conversion. Signed-off-by: Robert Kruszewski <github@robertk.io> Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019CX6MXw5FFYnqQNdV7K4ci

robert3005 · 2026-09-03T22:14:31Z

+    /// The Vortex writer computes statistics inside the timed region and caches them on the
+    /// array, so reusing one array across iterations would let every run after the first skip
+    /// that work. Clearing the cache keeps each iteration's measurement comparable.
+    pub fn reset(&self) {


holding vortex in memory lets you skip stat computation when writing/compression so in order to time the full thing we have to get rid of them

Reuse compression/decompression results in compression benchmarks

f39662f

Signed-off-by: Robert Kruszewski <github@robertk.io>

robert3005 added the changelog/chore A trivial change label Sep 3, 2026

fixes

fc2a30c

Signed-off-by: Robert Kruszewski <github@robertk.io>

robert3005 added the action/bench-compress Run only the compression benchmark on this PR label Sep 3, 2026

github-actions Bot removed the action/bench-compress Run only the compression benchmark on this PR label Sep 3, 2026

robert3005 commented Sep 3, 2026

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Reuse compression/decompression results in compression benchmarks - #9744

Reuse compression/decompression results in compression benchmarks#9744
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Merging this PR will regress 1 benchmark

Performance Changes

Footnotes

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Polar Signals Profiling Results

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Benchmarks: Compression 📖

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