adriangbot commented on PR #11474: URL: https://github.com/apache/arrow-rs/pull/11474#issuecomment-6086284487
🤖 Benchmark completed (GKE) | [trigger](https://github.com/apache/arrow-rs/pull/11474#issuecomment-6085315697) **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 1096.5±0.45µs 869.8 MElem/sec 1.00 1058.3±0.42µs 901.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.00/len=8 1.03 1093.9±1.17µs 871.8 MElem/sec 1.00 1057.1±1.08µs 902.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=24 1.01 1768.7±1.18µs 539.2 MElem/sec 1.00 1743.9±0.50µs 546.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=8 1.01 1772.1±0.37µs 538.1 MElem/sec 1.00 1747.8±5.21µs 545.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=24 1.03 1157.4±1.27µs 824.0 MElem/sec 1.00 1125.8±0.24µs 847.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=8 1.03 1157.7±0.22µs 823.8 MElem/sec 1.00 1124.2±0.60µs 848.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=24 1.02 1817.5±0.59µs 524.7 MElem/sec 1.00 1786.6±0.75µs 533.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=8 1.02 1814.2±0.46µs 525.7 MElem/sec 1.00 1784.8±0.86µs 534.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=24 1.03 1237.3±1.90µs 770.8 MElem/sec 1.00 1196.6±0.52µs 797.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=8 1.03 1230.9±1.48µs 774.8 MElem/sec 1.00 1198.2±1.05µs 795.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=24 1.02 1848.8±0.56µs 515.8 MElem/sec 1.00 1815.4±1.13µs 525.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=8 1.02 1846.9±0.33µs 516.4 MElem/sec 1.00 1815.6±0.95µs 525.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=24 1.03 1394.2±1.91µs 684.0 MElem/sec 1.00 1349.2±0.46µs 706.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=8 1.04 1392.8±2.10µs 684.7 MElem/sec 1.00 1336.6±3.35µs 713.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=24 1.02 1984.9±0.69µs 480.5 MElem/sec 1.00 1954.4±1.23µs 488.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=8 1.02 1982.6±2.72µs 481.0 MElem/sec 1.00 1939.7±3.23µs 491.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=24 1.03 5.5±0.00ms 873.2 MElem/sec 1.00 5.3±0.00ms 900.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=8 1.03 5.5±0.00ms 873.0 MElem/sec 1.00 5.3±0.00ms 900.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=24 1.02 9.0±0.01ms 532.4 MElem/sec 1.00 8.8±0.01ms 543.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=8 1.02 9.0±0.01ms 532.4 MElem/sec 1.00 8.8±0.01ms 544.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=24 1.03 5.8±0.01ms 822.5 MElem/sec 1.00 5.6±0.00ms 848.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=8 1.03 5.8±0.00ms 821.9 MElem/sec 1.00 5.6±0.00ms 848.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=24 1.01 9.1±0.01ms 522.2 MElem/sec 1.00 9.0±0.01ms 529.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=8 1.02 9.2±0.01ms 520.9 MElem/sec 1.00 9.0±0.00ms 528.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=24 1.03 6.2±0.00ms 770.8 MElem/sec 1.00 6.0±0.01ms 794.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=8 1.03 6.2±0.01ms 769.1 MElem/sec 1.00 6.0±0.01ms 794.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=24 1.02 9.3±0.01ms 510.0 MElem/sec 1.00 9.2±0.01ms 520.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=8 1.02 9.3±0.01ms 511.8 MElem/sec 1.00 9.2±0.01ms 520.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=24 1.03 7.0±0.01ms 680.1 MElem/sec 1.00 6.8±0.01ms 699.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=8 1.04 7.0±0.01ms 681.9 MElem/sec 1.00 6.7±0.01ms 707.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=24 1.02 10.0±0.02ms 475.8 MElem/sec 1.00 9.9±0.01ms 483.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=8 1.02 10.0±0.02ms 476.3 MElem/sec 1.00 9.8±0.02ms 485.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=24 1.00 1012.1±2.25µs 942.3 MElem/sec 1.00 1010.6±2.90µs 943.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=8 1.00 1012.0±0.17µs 942.4 MElem/sec 1.00 1007.7±0.23µs 946.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=24 1.02 1411.1±0.85µs 675.9 MElem/sec 1.00 1377.6±0.40µs 692.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=8 1.03 1413.7±1.20µs 674.6 MElem/sec 1.00 1375.0±0.63µs 693.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=24 1.01 1078.1±0.37µs 884.6 MElem/sec 1.00 1071.6±0.45µs 889.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=8 1.01 1076.4±0.75µs 886.0 MElem/sec 1.00 1069.7±0.43µs 891.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=24 1.03 1448.6±1.23µs 658.4 MElem/sec 1.00 1409.6±0.33µs 676.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=8 1.04 1466.7±1.53µs 650.2 MElem/sec 1.00 1413.5±0.99µs 674.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=24 1.01 1143.3±3.12µs 834.1 MElem/sec 1.00 1135.6±4.45µs 839.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=8 1.01 1143.8±3.07µs 833.8 MElem/sec 1.00 1137.2±4.03µs 838.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=24 1.03 1486.8±0.46µs 641.4 MElem/sec 1.00 1449.0±1.66µs 658.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=8 1.03 1488.5±0.50µs 640.7 MElem/sec 1.00 1443.2±1.57µs 660.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=24 1.02 1489.5±3.81µs 640.3 MElem/sec 1.00 1461.4±3.58µs 652.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=8 1.01 1473.2±3.33µs 647.3 MElem/sec 1.00 1455.3±4.16µs 655.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=24 1.05 1717.5±1.32µs 555.3 MElem/sec 1.00 1641.5±1.80µs 581.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=8 1.03 1691.7±0.91µs 563.7 MElem/sec 1.00 1642.1±1.93µs 580.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=24 1.00 5.1±0.00ms 943.9 MElem/sec 1.01 5.1±0.00ms 938.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=8 1.00 5.1±0.00ms 943.9 MElem/sec 1.00 5.0±0.00ms 947.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=24 1.03 7.2±0.01ms 664.4 MElem/sec 1.00 7.0±0.00ms 684.3 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 685.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=24 1.00 5.4±0.00ms 889.1 MElem/sec 1.00 5.3±0.00ms 892.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=8 1.01 5.4±0.00ms 885.1 MElem/sec 1.00 5.3±0.00ms 892.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=24 1.03 7.3±0.01ms 649.2 MElem/sec 1.00 7.1±0.00ms 668.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=8 1.03 7.4±0.00ms 647.8 MElem/sec 1.00 7.1±0.01ms 667.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=24 1.00 5.7±0.01ms 830.6 MElem/sec 1.00 5.7±0.02ms 834.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=8 1.01 5.7±0.01ms 831.4 MElem/sec 1.00 5.7±0.02ms 835.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=24 1.03 7.6±0.01ms 631.4 MElem/sec 1.00 7.3±0.01ms 649.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=8 1.03 7.5±0.00ms 633.2 MElem/sec 1.00 7.3±0.01ms 649.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=24 1.04 8.1±0.07ms 591.2 MElem/sec 1.00 7.7±0.04ms 616.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=8 1.04 7.9±0.04ms 603.2 MElem/sec 1.00 7.6±0.04ms 625.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=24 1.03 8.7±0.02ms 545.9 MElem/sec 1.00 8.5±0.03ms 560.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=8 1.03 8.6±0.01ms 552.4 MElem/sec 1.00 8.4±0.01ms 570.1 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-c6085315697-3248-tt4b8 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 | 132.8 MiB | | Avg memory | 47.3 MiB | | CPU user | 619.5s | | CPU sys | 0.9s | | Peak spill | 0 B | **branch** | Metric | Value | |--------|-------| | Wall time | 625.1s | | Peak memory | 68.3 MiB | | Avg memory | 47.4 MiB | | CPU user | 621.8s | | 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:6085315697:finish:6e3e5ed55a0eec1928fc738cdf5d1094 --> -- This is an automated message from the Apache Git Service. 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