adriangbot commented on PR #11474: URL: https://github.com/apache/arrow-rs/pull/11474#issuecomment-6085728005
🤖 Benchmark completed (GKE) | [trigger](https://github.com/apache/arrow-rs/pull/11474#issuecomment-6085314495) **Target:** arrow_reader_string_encoding Comparing rich-T-kid/parquet-dict-lowcard-reader-5 (b6839e54991335203d3825e9d6eb361035d2a069) to c7f60c6 (merge-base) [diff](https://github.com/apache/arrow-rs/compare/c7f60c612bd16ca5485cc9acddfd216c10ea9765..b6839e54991335203d3825e9d6eb361035d2a069) <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 1.04 1099.2±0.95µs 867.6 MElem/sec 1.00 1060.6±0.30µs 899.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.00/len=8 1.03 1095.0±1.32µs 870.9 MElem/sec 1.00 1058.3±0.78µs 901.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=24 1.02 1769.8±0.86µs 538.8 MElem/sec 1.00 1738.6±1.41µs 548.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=8 1.02 1764.0±2.48µs 540.6 MElem/sec 1.00 1737.9±0.71µs 548.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=24 1.03 1158.0±0.99µs 823.6 MElem/sec 1.00 1122.7±0.44µs 849.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=8 1.03 1160.3±0.51µs 821.9 MElem/sec 1.00 1125.3±0.27µs 847.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=24 1.01 1819.1±1.25µs 524.3 MElem/sec 1.00 1794.4±1.72µs 531.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=8 1.02 1815.6±0.62µs 525.3 MElem/sec 1.00 1788.3±1.16µs 533.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=24 1.03 1238.4±1.38µs 770.1 MElem/sec 1.00 1202.5±0.71µs 793.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=8 1.02 1230.9±1.20µs 774.8 MElem/sec 1.00 1203.4±1.00µs 792.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=24 1.01 1850.1±1.03µs 515.5 MElem/sec 1.00 1827.2±0.82µs 521.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=8 1.02 1851.1±0.48µs 515.2 MElem/sec 1.00 1820.7±1.06µs 523.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=24 1.02 1388.5±1.52µs 686.9 MElem/sec 1.00 1360.8±0.74µs 700.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=8 1.04 1389.0±2.59µs 686.6 MElem/sec 1.00 1337.1±3.13µs 713.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=24 1.01 1977.6±2.27µs 482.2 MElem/sec 1.00 1955.1±0.68µs 487.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=8 1.02 1982.1±3.07µs 481.2 MElem/sec 1.00 1945.9±2.20µs 490.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=24 1.02 5.5±0.00ms 874.1 MElem/sec 1.00 5.4±0.01ms 888.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=8 1.04 5.5±0.00ms 873.8 MElem/sec 1.00 5.3±0.00ms 905.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=24 1.01 8.9±0.01ms 535.3 MElem/sec 1.00 8.8±0.01ms 543.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=8 1.02 8.9±0.01ms 534.6 MElem/sec 1.00 8.8±0.01ms 542.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=24 1.04 5.8±0.01ms 816.4 MElem/sec 1.00 5.6±0.00ms 848.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=8 1.03 5.8±0.00ms 825.3 MElem/sec 1.00 5.6±0.00ms 848.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=24 1.02 9.2±0.01ms 516.9 MElem/sec 1.00 9.0±0.00ms 528.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=8 1.02 9.2±0.01ms 519.4 MElem/sec 1.00 9.0±0.01ms 529.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=24 1.03 6.2±0.01ms 769.5 MElem/sec 1.00 6.0±0.00ms 793.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=8 1.04 6.2±0.01ms 766.6 MElem/sec 1.00 6.0±0.00ms 793.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=24 1.02 9.4±0.01ms 509.9 MElem/sec 1.00 9.2±0.01ms 519.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=8 1.02 9.3±0.01ms 510.4 MElem/sec 1.00 9.2±0.01ms 518.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=24 1.02 7.0±0.02ms 678.8 MElem/sec 1.00 6.9±0.02ms 691.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=8 1.03 7.0±0.01ms 683.4 MElem/sec 1.00 6.8±0.03ms 705.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=24 1.02 10.1±0.02ms 472.9 MElem/sec 1.00 9.9±0.01ms 483.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=8 1.03 10.0±0.01ms 474.5 MElem/sec 1.00 9.8±0.02ms 486.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=24 1.00 1013.7±0.60µs 940.8 MElem/sec 1.00 1009.7±1.29µs 944.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=8 1.00 1010.2±1.08µs 944.1 MElem/sec 1.00 1009.9±0.64µs 944.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=24 1.03 1410.7±1.62µs 676.0 MElem/sec 1.00 1375.5±0.48µs 693.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=8 1.03 1415.1±2.27µs 673.9 MElem/sec 1.00 1374.1±0.75µs 694.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=24 1.00 1075.3±0.29µs 886.9 MElem/sec 1.00 1074.4±0.20µs 887.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=8 1.00 1077.3±0.54µs 885.2 MElem/sec 1.00 1073.1±0.27µs 888.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=24 1.03 1450.3±3.29µs 657.6 MElem/sec 1.00 1413.9±0.79µs 674.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=8 1.03 1465.2±1.01µs 650.9 MElem/sec 1.00 1415.7±0.26µs 673.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=24 1.00 1141.2±3.94µs 835.6 MElem/sec 1.00 1139.7±4.54µs 836.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=8 1.00 1137.3±3.72µs 838.5 MElem/sec 1.00 1140.3±4.06µs 836.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=24 1.02 1486.7±0.87µs 641.5 MElem/sec 1.00 1453.5±1.39µs 656.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=8 1.02 1482.6±3.18µs 643.3 MElem/sec 1.00 1452.8±1.69µs 656.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=24 1.00 1485.5±4.62µs 642.0 MElem/sec 1.03 1530.7±8.44µs 623.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=8 1.01 1469.6±3.94µs 648.9 MElem/sec 1.00 1459.9±2.55µs 653.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=24 1.02 1679.3±2.10µs 567.9 MElem/sec 1.00 1649.1±2.29µs 578.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=8 1.01 1669.9±1.94µs 571.1 MElem/sec 1.00 1648.0±2.48µs 578.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=24 1.00 5.0±0.00ms 945.2 MElem/sec 1.00 5.0±0.00ms 946.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=8 1.00 5.0±0.00ms 944.6 MElem/sec 1.00 5.0±0.00ms 944.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=24 1.02 7.2±0.00ms 666.4 MElem/sec 1.00 7.0±0.01ms 677.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=8 1.02 7.2±0.01ms 666.0 MElem/sec 1.00 7.0±0.00ms 676.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=24 1.00 5.4±0.00ms 886.5 MElem/sec 1.00 5.4±0.00ms 889.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=8 1.00 5.4±0.01ms 888.0 MElem/sec 1.00 5.4±0.00ms 890.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=24 1.02 7.3±0.00ms 648.9 MElem/sec 1.00 7.2±0.01ms 660.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=8 1.02 7.4±0.00ms 647.6 MElem/sec 1.00 7.2±0.00ms 662.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=24 1.00 5.7±0.02ms 831.8 MElem/sec 1.00 5.8±0.03ms 828.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=8 1.00 5.7±0.02ms 833.7 MElem/sec 1.00 5.7±0.02ms 831.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=24 1.02 7.6±0.00ms 629.7 MElem/sec 1.00 7.4±0.01ms 642.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=8 1.02 7.5±0.00ms 632.3 MElem/sec 1.00 7.4±0.01ms 641.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=24 1.00 7.9±0.05ms 602.9 MElem/sec 1.02 8.0±0.06ms 593.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=8 1.00 7.7±0.06ms 618.8 MElem/sec 1.03 8.0±0.21ms 598.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=24 1.01 8.7±0.02ms 546.6 MElem/sec 1.00 8.6±0.02ms 552.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=8 1.01 8.6±0.02ms 552.7 MElem/sec 1.00 8.6±0.02ms 556.2 MElem/sec ``` </details> <details><summary>Per-runner information</summary> <details><summary>arrow_reader_string_encoding — shard 1/1</summary> **Node:** gk3-benchmark-cluster-nap-1konwh4m-230e413b-55zz **Instance:** c4a-highmem-16 (12 vCPU / 65 GiB) **uname:** ```text Linux bench-c6085314495-3247-7wcfl 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 | 77.1 MiB | | Avg memory | 47.2 MiB | | CPU user | 618.6s | | CPU sys | 0.9s | | Peak spill | 0 B | **branch** | Metric | Value | |--------|-------| | Wall time | 625.1s | | Peak memory | 99.8 MiB | | Avg memory | 47.3 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:6085314495:finish:b0dadd80c654315bd46cabe5d5f1c2a3 --> -- This is an automated message from the Apache Git Service. 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