adriangbot commented on PR #11423: URL: https://github.com/apache/arrow-rs/pull/11423#issuecomment-6041804188
🤖 Benchmark completed (GKE) | [trigger](https://github.com/apache/arrow-rs/pull/11423#issuecomment-6041292463) **Target:** arrow_reader_string_encoding Comparing rich-T-kid/parquet-dict-lowcard-reader (6a526cce0c5e9811e3366aed48fa45d21fc92eb8) to c7f60c6 (merge-base) [diff](https://github.com/apache/arrow-rs/compare/c7f60c612bd16ca5485cc9acddfd216c10ea9765..6a526cce0c5e9811e3366aed48fa45d21fc92eb8) <details><summary>Run configuration</summary> ```yaml run benchmark arrow_reader_string_encoding shards: 1 ``` </details> <details><summary>Details</summary> ``` group base changed ----- ---- ------- RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.00/len=24 2.49 1100.8±0.75µs 866.3 MElem/sec 1.00 442.7±1.50µs 2.1 GElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.00/len=8 2.46 1095.5±0.55µs 870.5 MElem/sec 1.00 444.6±1.36µs 2.1 GElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=24 1.57 1772.4±1.03µs 538.1 MElem/sec 1.00 1125.4±1.40µs 847.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=8 1.58 1769.6±1.30µs 538.9 MElem/sec 1.00 1122.6±1.44µs 849.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=24 2.26 1157.8±0.68µs 823.7 MElem/sec 1.00 511.4±1.18µs 1864.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=8 2.26 1158.2±1.05µs 823.4 MElem/sec 1.00 512.4±0.94µs 1861.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=24 1.55 1820.8±1.14µs 523.8 MElem/sec 1.00 1175.3±1.47µs 811.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=8 1.55 1820.7±0.92µs 523.8 MElem/sec 1.00 1173.2±1.17µs 812.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=24 2.10 1238.9±4.17µs 769.8 MElem/sec 1.00 589.1±1.80µs 1619.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=8 2.11 1247.2±4.43µs 764.6 MElem/sec 1.00 590.3±1.23µs 1615.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=24 1.53 1854.9±1.89µs 514.1 MElem/sec 1.00 1208.6±1.12µs 789.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=8 1.53 1850.7±2.04µs 515.3 MElem/sec 1.00 1206.6±1.21µs 790.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=24 1.89 1409.4±5.71µs 676.7 MElem/sec 1.00 747.3±3.96µs 1276.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=8 1.90 1407.0±4.21µs 677.8 MElem/sec 1.00 741.8±2.46µs 1285.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=24 1.48 1990.6±6.60µs 479.1 MElem/sec 1.00 1341.3±5.32µs 711.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=8 1.48 1991.0±2.87µs 479.0 MElem/sec 1.00 1341.7±1.91µs 710.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=24 2.45 5.5±0.01ms 862.1 MElem/sec 1.00 2.3±0.01ms 2.1 GElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=8 2.49 5.6±0.02ms 848.7 MElem/sec 1.00 2.3±0.01ms 2.1 GElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=24 1.57 9.0±0.02ms 530.9 MElem/sec 1.00 5.7±0.01ms 831.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=8 1.57 9.0±0.01ms 528.6 MElem/sec 1.00 5.7±0.01ms 831.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=24 2.21 5.9±0.02ms 808.0 MElem/sec 1.00 2.7±0.03ms 1788.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=8 2.21 5.9±0.01ms 803.8 MElem/sec 1.00 2.7±0.01ms 1776.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=24 1.54 9.3±0.01ms 513.5 MElem/sec 1.00 6.0±0.02ms 789.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=8 1.54 9.3±0.01ms 513.1 MElem/sec 1.00 6.0±0.01ms 789.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=24 2.03 6.4±0.04ms 745.5 MElem/sec 1.00 3.2±0.03ms 1511.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=8 2.05 6.5±0.02ms 738.4 MElem/sec 1.00 3.2±0.03ms 1510.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=24 1.52 9.5±0.02ms 504.5 MElem/sec 1.00 6.2±0.02ms 764.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=8 1.53 9.5±0.01ms 502.6 MElem/sec 1.00 6.2±0.02ms 766.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=24 1.79 7.3±0.06ms 653.5 MElem/sec 1.00 4.1±0.02ms 1168.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=8 1.81 7.3±0.02ms 657.6 MElem/sec 1.00 4.0±0.05ms 1193.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=24 1.46 10.2±0.05ms 468.1 MElem/sec 1.00 7.0±0.02ms 682.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=8 1.46 10.2±0.05ms 469.5 MElem/sec 1.00 7.0±0.01ms 684.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=24 1.00 1009.4±0.21µs 944.8 MElem/sec 1.01 1015.6±0.69µs 939.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=8 1.00 1008.3±0.31µs 945.8 MElem/sec 1.01 1014.6±0.94µs 939.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=24 1.00 1371.4±0.47µs 695.4 MElem/sec 1.01 1382.4±0.96µs 689.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=8 1.00 1371.0±0.65µs 695.6 MElem/sec 1.01 1378.4±0.88µs 691.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=24 1.00 1073.2±0.25µs 888.6 MElem/sec 1.01 1080.9±0.84µs 882.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=8 1.00 1073.2±0.52µs 888.7 MElem/sec 1.01 1079.1±0.45µs 883.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=24 1.00 1405.1±0.73µs 678.7 MElem/sec 1.01 1417.6±1.39µs 672.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=8 1.00 1406.8±1.03µs 677.9 MElem/sec 1.01 1415.8±0.85µs 673.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=24 1.00 1152.4±0.26µs 827.6 MElem/sec 1.01 1159.0±1.24µs 822.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=8 1.00 1149.1±1.11µs 830.0 MElem/sec 1.01 1155.2±0.54µs 825.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=24 1.00 1452.0±0.68µs 656.8 MElem/sec 1.01 1460.6±0.49µs 652.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=8 1.00 1450.5±0.47µs 657.5 MElem/sec 1.01 1463.0±1.45µs 651.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=24 1.00 1500.4±2.93µs 635.6 MElem/sec 1.05 1570.7±12.70µs 607.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=8 1.00 1499.9±4.78µs 635.8 MElem/sec 1.01 1507.8±4.59µs 632.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=24 1.00 1656.9±5.90µs 575.6 MElem/sec 1.03 1705.3±8.81µs 559.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=8 1.00 1649.4±4.58µs 578.2 MElem/sec 1.01 1670.9±10.03µs 570.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=24 1.00 5.1±0.00ms 941.8 MElem/sec 1.01 5.1±0.00ms 934.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=8 1.00 5.1±0.01ms 941.4 MElem/sec 1.01 5.1±0.01ms 934.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=24 1.00 7.0±0.01ms 680.1 MElem/sec 1.01 7.1±0.01ms 675.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=8 1.00 7.0±0.02ms 685.4 MElem/sec 1.01 7.1±0.01ms 675.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=24 1.00 5.4±0.00ms 877.4 MElem/sec 1.01 5.5±0.01ms 870.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=8 1.00 5.5±0.01ms 873.8 MElem/sec 1.01 5.5±0.00ms 868.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=24 1.00 7.2±0.01ms 659.1 MElem/sec 1.01 7.3±0.01ms 655.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=8 1.00 7.2±0.01ms 661.0 MElem/sec 1.01 7.3±0.01ms 653.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=24 1.00 6.0±0.01ms 796.8 MElem/sec 1.01 6.0±0.01ms 791.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=8 1.00 6.0±0.02ms 796.3 MElem/sec 1.01 6.0±0.01ms 791.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=24 1.00 7.5±0.04ms 638.2 MElem/sec 1.01 7.6±0.02ms 629.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=8 1.00 7.5±0.01ms 636.6 MElem/sec 1.01 7.6±0.01ms 630.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=24 1.00 8.6±0.02ms 551.6 MElem/sec 1.02 8.8±0.06ms 539.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=8 1.00 8.5±0.10ms 562.6 MElem/sec 1.03 8.7±0.02ms 546.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=24 1.00 8.9±0.05ms 535.8 MElem/sec 1.03 9.2±0.03ms 520.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=8 1.00 8.9±0.04ms 537.5 MElem/sec 1.02 9.0±0.03ms 528.7 MElem/sec ``` </details> <details><summary>Per-runner information</summary> <details><summary>arrow_reader_string_encoding — shard 1/1</summary> **Node:** gk3-benchmark-cluster-nap-k44dd5ur-758ad03e-trmb **Instance:** c4a-highmem-16 (12 vCPU / 65 GiB) **uname:** ```text Linux bench-c6041292463-3130-2tzqt 6.12.94+ #1 SMP Fri Aug 21 08:00:16 UTC 2026 aarch64 GNU/Linux ``` **BENCH_COMMAND:** ```sh cargo bench --features=arrow,async,test_common,experimental,object_store --bench arrow_reader_string_encoding ``` <details><summary>CPU Details (lscpu)</summary> ```text Architecture: aarch64 CPU op-mode(s): 64-bit Byte Order: Little Endian CPU(s): 16 On-line CPU(s) list: 0-15 Vendor ID: ARM Model name: Neoverse-V2 Model: 1 Thread(s) per core: 1 Core(s) per cluster: 16 Socket(s): - Cluster(s): 1 Stepping: r0p1 BogoMIPS: 2000.00 Flags: fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh rng bti L1d cache: 1 MiB (16 instances) L1i cache: 1 MiB (16 instances) L2 cache: 32 MiB (16 instances) L3 cache: 80 MiB (1 instance) NUMA node(s): 1 NUMA node0 CPU(s): 0-15 Vulnerability Gather data sampling: Not affected Vulnerability Indirect target selection: Not affected Vulnerability Itlb multihit: Not affected Vulnerability L1tf: Not affected Vulnerability Mds: Not affected Vulnerability Meltdown: Not affected Vulnerability Mmio stale data: Not affected Vulnerability Reg file data sampling: Not affected Vulnerability Retbleed: Not affected Vulnerability Spec rstack overflow: Not affected Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl Vulnerability Spectre v1: Mitigation; __user pointer sanitization Vulnerability Spectre v2: Mitigation; CSV2, BHB Vulnerability Srbds: Not affected Vulnerability Tsa: Not affected Vulnerability Tsx async abort: Not affected Vulnerability Vmscape: Not affected ``` </details> <details><summary>Resource Usage</summary> **base (merge-base)** | Metric | Value | |--------|-------| | Wall time | 620.1s | | Peak memory | 172.5 MiB | | Avg memory | 47.1 MiB | | CPU user | 614.5s | | CPU sys | 0.9s | | Peak spill | 0 B | **branch** | Metric | Value | |--------|-------| | Wall time | 615.1s | | Peak memory | 173.5 MiB | | Avg memory | 47.6 MiB | | CPU user | 611.8s | | CPU sys | 0.9s | | Peak spill | 0 B | </details> </details> </details> --- [File an issue](https://github.com/adriangb/datafusion-benchmarking/issues) against this benchmark runner <!-- benchmark-request:6041292463:finish:159fc895f1966c1c46467cb04d9b247c --> -- This is an automated message from the Apache Git Service. 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