adriangbot commented on PR #11462: URL: https://github.com/apache/arrow-rs/pull/11462#issuecomment-6243809167
🤖 Benchmark completed (GKE) | [trigger](https://github.com/apache/arrow-rs/pull/11462#issuecomment-6243353662) **Target:** arrow_reader_string_encoding Comparing rich-T-kid/parquet-dict-lowcard-reader-1 (1a272a83469707276e7e393201da9ba75262a968) to 8f4bb0c (merge-base) [diff](https://github.com/apache/arrow-rs/compare/8f4bb0caa723c9536e59669418d475a6b544d2e9..1a272a83469707276e7e393201da9ba75262a968) <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 2.24 1096.8±1.22µs 869.5 MElem/sec 1.00 489.0±0.63µs 1950.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.00/len=8 2.27 1107.1±26.44µs 861.4 MElem/sec 1.00 488.8±0.87µs 1951.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=24 1.53 1773.6±3.09µs 537.7 MElem/sec 1.00 1160.8±1.28µs 821.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=8 1.53 1773.0±0.97µs 537.9 MElem/sec 1.00 1158.0±1.55µs 823.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=24 2.10 1157.8±1.19µs 823.7 MElem/sec 1.00 550.9±1.02µs 1731.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=8 2.11 1156.3±1.10µs 824.8 MElem/sec 1.00 548.4±0.38µs 1739.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=24 1.50 1814.4±1.95µs 525.6 MElem/sec 1.00 1209.9±1.53µs 788.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=8 1.51 1822.7±1.74µs 523.2 MElem/sec 1.00 1209.1±1.39µs 788.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=24 1.97 1237.7±1.10µs 770.5 MElem/sec 1.00 629.3±0.88µs 1515.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=8 1.98 1245.6±3.76µs 765.6 MElem/sec 1.00 629.4±1.72µs 1515.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=24 1.50 1857.6±1.01µs 513.4 MElem/sec 1.00 1234.7±1.80µs 772.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=8 1.50 1854.8±2.62µs 514.2 MElem/sec 1.00 1236.3±1.69µs 771.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=24 1.81 1406.6±1.90µs 678.0 MElem/sec 1.00 778.8±0.86µs 1224.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=8 1.80 1395.4±3.70µs 683.4 MElem/sec 1.00 775.2±2.59µs 1230.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=24 1.46 1993.1±2.30µs 478.5 MElem/sec 1.00 1367.2±1.89µs 697.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=8 1.45 1975.5±2.84µs 482.8 MElem/sec 1.00 1363.0±1.86µs 699.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=24 2.24 5.5±0.02ms 872.2 MElem/sec 1.00 2.4±0.00ms 1956.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=8 2.27 5.5±0.01ms 862.6 MElem/sec 1.00 2.4±0.01ms 1962.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=24 1.53 9.0±0.01ms 531.0 MElem/sec 1.00 5.9±0.01ms 811.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=8 1.52 9.0±0.01ms 530.6 MElem/sec 1.00 5.9±0.02ms 808.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=24 2.14 5.9±0.02ms 809.8 MElem/sec 1.00 2.8±0.01ms 1732.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=8 2.12 5.8±0.02ms 815.9 MElem/sec 1.00 2.8±0.01ms 1727.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=24 1.51 9.3±0.02ms 515.1 MElem/sec 1.00 6.1±0.03ms 775.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=8 1.50 9.2±0.03ms 515.7 MElem/sec 1.00 6.1±0.03ms 775.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=24 1.95 6.3±0.06ms 757.0 MElem/sec 1.00 3.2±0.03ms 1477.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=8 2.00 6.4±0.02ms 749.3 MElem/sec 1.00 3.2±0.02ms 1500.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=24 1.51 9.5±0.03ms 503.8 MElem/sec 1.00 6.3±0.03ms 761.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=8 1.49 9.5±0.02ms 503.3 MElem/sec 1.00 6.3±0.02ms 752.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=24 1.72 7.2±0.06ms 662.4 MElem/sec 1.00 4.2±0.07ms 1138.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=8 1.71 7.1±0.09ms 670.9 MElem/sec 1.00 4.2±0.02ms 1146.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=24 1.44 10.2±0.02ms 466.7 MElem/sec 1.00 7.1±0.01ms 671.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=8 1.44 10.1±0.06ms 470.6 MElem/sec 1.00 7.0±0.11ms 678.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=24 1.00 1013.5±0.97µs 941.0 MElem/sec 1.00 1016.0±0.09µs 938.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=8 1.00 1013.3±2.83µs 941.1 MElem/sec 1.00 1016.2±0.80µs 938.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=24 1.00 1414.9±0.98µs 674.0 MElem/sec 1.00 1410.1±0.75µs 676.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=8 1.00 1412.3±1.01µs 675.3 MElem/sec 1.00 1409.8±0.74µs 676.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=24 1.00 1074.2±1.42µs 887.8 MElem/sec 1.01 1080.3±0.21µs 882.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=8 1.00 1076.0±1.19µs 886.3 MElem/sec 1.00 1077.2±1.22µs 885.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=24 1.00 1450.2±1.80µs 657.6 MElem/sec 1.00 1444.9±1.36µs 660.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=8 1.00 1447.9±1.45µs 658.7 MElem/sec 1.00 1443.8±2.57µs 660.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=24 1.00 1157.6±1.82µs 823.8 MElem/sec 1.00 1155.8±4.04µs 825.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=8 1.00 1157.5±3.71µs 823.9 MElem/sec 1.01 1163.9±4.30µs 819.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=24 1.00 1494.2±1.16µs 638.2 MElem/sec 1.00 1488.5±1.39µs 640.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=8 1.00 1493.4±2.50µs 638.6 MElem/sec 1.00 1489.0±0.79µs 640.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=24 1.02 1516.7±3.96µs 628.8 MElem/sec 1.00 1493.4±3.87µs 638.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=8 1.01 1513.0±3.54µs 630.3 MElem/sec 1.00 1494.4±5.61µs 638.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=24 1.00 1693.3±3.14µs 563.2 MElem/sec 1.00 1687.8±3.55µs 565.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=8 1.02 1707.4±2.43µs 558.5 MElem/sec 1.00 1675.6±1.59µs 569.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=24 1.00 5.1±0.01ms 942.7 MElem/sec 1.00 5.1±0.01ms 942.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=8 1.00 5.1±0.02ms 941.0 MElem/sec 1.00 5.1±0.01ms 942.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=24 1.00 7.2±0.02ms 664.8 MElem/sec 1.00 7.2±0.02ms 666.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=8 1.00 7.2±0.02ms 663.1 MElem/sec 1.00 7.2±0.01ms 666.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=24 1.00 5.4±0.01ms 879.8 MElem/sec 1.00 5.4±0.01ms 875.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=8 1.00 5.4±0.01ms 881.1 MElem/sec 1.00 5.4±0.01ms 879.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=24 1.00 7.4±0.03ms 647.8 MElem/sec 1.00 7.4±0.02ms 645.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=8 1.00 7.3±0.05ms 649.5 MElem/sec 1.00 7.4±0.03ms 646.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=24 1.00 5.9±0.05ms 806.0 MElem/sec 1.01 6.0±0.02ms 798.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=8 1.02 6.0±0.03ms 799.1 MElem/sec 1.00 5.9±0.05ms 811.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=24 1.00 7.7±0.03ms 622.4 MElem/sec 1.00 7.7±0.02ms 622.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=8 1.01 7.6±0.04ms 624.8 MElem/sec 1.00 7.5±0.06ms 632.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=24 1.01 8.7±0.02ms 551.1 MElem/sec 1.00 8.6±0.07ms 554.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=8 1.06 8.5±0.05ms 562.2 MElem/sec 1.00 8.0±0.32ms 597.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=24 1.00 9.1±0.10ms 523.9 MElem/sec 1.00 9.1±0.02ms 524.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=8 1.00 8.9±0.13ms 533.4 MElem/sec 1.00 8.9±0.03ms 534.4 MElem/sec ``` </details> <details><summary>Per-runner information</summary> <details><summary>arrow_reader_string_encoding — shard 1/1</summary> **Node:** gk3-benchmark-cluster-nap-1a08ks4e-5d796ba7-tv4x **Instance:** c4a-highmem-16 (12 vCPU / 65 GiB) **uname:** ```text Linux bench-c6243353662-3562-jkn76 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 | 615.1s | | Peak memory | 176.1 MiB | | Avg memory | 48.5 MiB | | CPU user | 611.4s | | CPU sys | 0.9s | | Peak spill | 0 B | **branch** | Metric | Value | |--------|-------| | Wall time | 610.1s | | Peak memory | 173.6 MiB | | Avg memory | 47.1 MiB | | CPU user | 603.9s | | 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:6243353662:finish:1876e28abab1cc2b4e6c2c2f2c0cb26d --> -- This is an automated message from the Apache Git Service. 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