adriangbot commented on PR #11423: URL: https://github.com/apache/arrow-rs/pull/11423#issuecomment-6052288831
🤖 Benchmark completed (GKE) | [trigger](https://github.com/apache/arrow-rs/pull/11423#issuecomment-6051807727) **Target:** arrow_reader_string_encoding Comparing rich-T-kid/parquet-dict-lowcard-reader (46d1fab9ab7fc93be24b998f9ddefce8da037f37) to a64d97a (merge-base) [diff](https://github.com/apache/arrow-rs/compare/a64d97ace046290d94dcd697cb03dc7ecf3cfdd3..46d1fab9ab7fc93be24b998f9ddefce8da037f37) <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 2.48 1101.8±1.59µs 865.6 MElem/sec 1.00 443.4±0.31µs 2.1 GElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.00/len=8 2.47 1098.5±2.27µs 868.1 MElem/sec 1.00 444.6±1.12µs 2.1 GElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=24 1.56 1780.0±1.11µs 535.8 MElem/sec 1.00 1140.7±0.66µs 836.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=8 1.56 1771.7±0.64µs 538.3 MElem/sec 1.00 1138.7±0.73µs 837.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=24 2.32 1170.3±0.74µs 814.9 MElem/sec 1.00 504.8±0.48µs 1889.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=8 2.32 1170.9±0.47µs 814.5 MElem/sec 1.00 504.7±0.21µs 1889.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=24 1.53 1829.9±0.73µs 521.2 MElem/sec 1.00 1193.4±0.48µs 799.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=8 1.55 1831.5±0.84µs 520.7 MElem/sec 1.00 1183.6±0.59µs 805.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=24 2.15 1245.1±5.60µs 765.9 MElem/sec 1.00 577.9±4.16µs 1650.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=8 2.15 1242.9±4.50µs 767.3 MElem/sec 1.00 577.0±4.11µs 1652.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=24 1.53 1856.1±1.83µs 513.8 MElem/sec 1.00 1212.7±1.28µs 786.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=8 1.52 1849.7±2.37µs 515.6 MElem/sec 1.00 1220.3±2.48µs 781.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=24 1.90 1386.0±5.04µs 688.1 MElem/sec 1.00 728.4±4.14µs 1309.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=8 1.89 1375.5±1.52µs 693.3 MElem/sec 1.00 726.8±0.35µs 1312.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=24 1.48 1992.4±2.66µs 478.7 MElem/sec 1.00 1342.4±2.46µs 710.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=8 1.48 1978.5±1.20µs 482.0 MElem/sec 1.00 1339.1±2.36µs 712.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=24 2.48 5.5±0.01ms 868.9 MElem/sec 1.00 2.2±0.00ms 2.1 GElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=8 2.49 5.5±0.00ms 866.3 MElem/sec 1.00 2.2±0.00ms 2.1 GElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=24 1.54 8.9±0.01ms 538.3 MElem/sec 1.00 5.7±0.00ms 829.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=8 1.58 9.1±0.01ms 525.7 MElem/sec 1.00 5.8±0.01ms 828.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=24 2.31 5.8±0.01ms 817.5 MElem/sec 1.00 2.5±0.01ms 1885.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=8 2.31 5.8±0.01ms 816.0 MElem/sec 1.00 2.5±0.01ms 1886.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=24 1.54 9.2±0.01ms 516.6 MElem/sec 1.00 6.0±0.01ms 797.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=8 1.53 9.2±0.02ms 520.4 MElem/sec 1.00 6.0±0.01ms 796.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=24 2.17 6.2±0.03ms 763.5 MElem/sec 1.00 2.9±0.02ms 1660.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=8 2.17 6.2±0.03ms 764.1 MElem/sec 1.00 2.9±0.02ms 1661.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=24 1.52 9.3±0.02ms 511.2 MElem/sec 1.00 6.1±0.01ms 776.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=8 1.51 9.3±0.01ms 515.3 MElem/sec 1.00 6.1±0.01ms 777.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=24 1.87 6.9±0.02ms 689.2 MElem/sec 1.00 3.7±0.03ms 1291.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=8 1.90 6.9±0.01ms 693.2 MElem/sec 1.00 3.6±0.00ms 1314.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=24 1.45 9.9±0.02ms 481.7 MElem/sec 1.00 6.8±0.05ms 700.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=8 1.44 9.8±0.01ms 486.0 MElem/sec 1.00 6.8±0.04ms 702.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=24 1.00 1008.4±1.41µs 945.7 MElem/sec 1.00 1008.9±0.43µs 945.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=8 1.00 1009.2±0.64µs 945.0 MElem/sec 1.00 1007.9±0.26µs 946.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=24 1.03 1412.8±0.73µs 675.0 MElem/sec 1.00 1375.1±0.61µs 693.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=8 1.02 1407.9±0.93µs 677.4 MElem/sec 1.00 1373.9±0.62µs 694.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=24 1.01 1080.2±0.26µs 882.9 MElem/sec 1.00 1071.0±0.38µs 890.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=8 1.00 1078.2±0.55µs 884.5 MElem/sec 1.00 1073.4±0.18µs 888.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=24 1.02 1446.2±1.02µs 659.4 MElem/sec 1.00 1412.0±0.19µs 675.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=8 1.02 1446.3±1.00µs 659.4 MElem/sec 1.00 1413.6±0.70µs 674.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=24 1.01 1152.9±0.38µs 827.2 MElem/sec 1.00 1140.6±3.51µs 836.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=8 1.02 1153.6±0.51µs 826.7 MElem/sec 1.00 1136.3±3.34µs 839.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=24 1.02 1491.5±2.36µs 639.4 MElem/sec 1.00 1456.4±2.20µs 654.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=8 1.02 1487.9±0.86µs 641.0 MElem/sec 1.00 1454.7±1.49µs 655.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=24 1.00 1478.8±0.73µs 644.9 MElem/sec 1.01 1487.0±3.99µs 641.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=8 1.00 1471.5±1.20µs 648.1 MElem/sec 1.00 1474.2±3.15µs 646.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=24 1.01 1680.6±0.66µs 567.4 MElem/sec 1.00 1671.0±3.09µs 570.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=8 1.01 1664.9±0.83µs 572.8 MElem/sec 1.00 1648.7±2.54µs 578.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=24 1.00 5.1±0.00ms 941.4 MElem/sec 1.00 5.0±0.00ms 944.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=8 1.00 5.0±0.00ms 945.2 MElem/sec 1.00 5.0±0.00ms 944.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=24 1.03 7.2±0.01ms 664.2 MElem/sec 1.00 7.0±0.00ms 683.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=8 1.03 7.2±0.01ms 664.7 MElem/sec 1.00 7.0±0.00ms 682.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=24 1.01 5.4±0.00ms 881.0 MElem/sec 1.00 5.4±0.00ms 890.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=8 1.01 5.4±0.00ms 879.8 MElem/sec 1.00 5.4±0.00ms 889.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=24 1.03 7.3±0.00ms 651.2 MElem/sec 1.00 7.1±0.00ms 667.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=8 1.03 7.4±0.01ms 645.4 MElem/sec 1.00 7.2±0.01ms 666.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=24 1.01 5.8±0.01ms 822.3 MElem/sec 1.00 5.7±0.02ms 834.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=8 1.02 5.8±0.00ms 821.7 MElem/sec 1.00 5.7±0.02ms 838.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=24 1.03 7.6±0.03ms 626.6 MElem/sec 1.00 7.4±0.01ms 647.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=8 1.02 7.5±0.02ms 632.0 MElem/sec 1.00 7.4±0.01ms 647.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=24 1.00 7.6±0.01ms 629.6 MElem/sec 1.03 7.8±0.25ms 608.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=8 1.00 7.5±0.02ms 635.4 MElem/sec 1.01 7.6±0.06ms 629.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=24 1.00 8.6±0.01ms 555.1 MElem/sec 1.01 8.7±0.08ms 551.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=8 1.01 8.5±0.01ms 561.5 MElem/sec 1.00 8.4±0.03ms 565.7 MElem/sec ``` </details> <details><summary>Per-runner information</summary> <details><summary>arrow_reader_string_encoding — shard 1/1</summary> **Node:** gk3-benchmark-cluster-nap-1jjgtw9w-0ee80fb2-rcjv **Instance:** c4a-highmem-16-lssd (12 vCPU / 65 GiB) **uname:** ```text Linux bench-c6051807727-3162-2zvdl 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 | 625.1s | | Peak memory | 121.2 MiB | | Avg memory | 47.4 MiB | | CPU user | 618.7s | | CPU sys | 0.9s | | Peak spill | 0 B | **branch** | Metric | Value | |--------|-------| | Wall time | 625.1s | | Peak memory | 183.8 MiB | | Avg memory | 47.5 MiB | | CPU user | 619.9s | | CPU sys | 0.8s | | Peak spill | 0 B | </details> </details> </details> --- [File an issue](https://github.com/adriangb/datafusion-benchmarking/issues) against this benchmark runner <!-- benchmark-request:6051807727:finish:1e6c57fd0e1593c2ac6c2a6a0b9f6286 --> -- This is an automated message from the Apache Git Service. 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