adriangbot commented on PR #11464: URL: https://github.com/apache/arrow-rs/pull/11464#issuecomment-6068116887
🤖 Benchmark completed (GKE) | [trigger](https://github.com/apache/arrow-rs/pull/11464#issuecomment-6067332837) **Target:** arrow_reader_string_encoding Comparing rich-T-kid/parquet-dict-lowcard-reader-3 (09703342371500fe72be3c0d58f7ff65c6307c6d) to c7f60c6 (merge-base) [diff](https://github.com/apache/arrow-rs/compare/c7f60c612bd16ca5485cc9acddfd216c10ea9765..09703342371500fe72be3c0d58f7ff65c6307c6d) <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 1.02 1102.2±1.24µs 865.2 MElem/sec 1.00 1083.9±1.07µs 879.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.00/len=8 1.02 1098.5±0.48µs 868.1 MElem/sec 1.00 1080.6±0.92µs 882.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=24 1.02 1784.3±1.21µs 534.5 MElem/sec 1.00 1755.5±4.64µs 543.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=8 1.01 1766.4±0.72µs 539.9 MElem/sec 1.00 1753.2±3.45µs 544.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=24 1.01 1163.7±0.39µs 819.5 MElem/sec 1.00 1150.0±0.90µs 829.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=8 1.01 1165.1±0.77µs 818.5 MElem/sec 1.00 1150.1±0.64µs 829.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=24 1.01 1819.6±1.29µs 524.1 MElem/sec 1.00 1803.3±0.83µs 528.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=8 1.01 1819.6±1.94µs 524.1 MElem/sec 1.00 1796.1±0.84µs 531.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=24 1.01 1239.7±4.56µs 769.3 MElem/sec 1.00 1227.9±1.81µs 776.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=8 1.02 1246.9±4.49µs 764.8 MElem/sec 1.00 1227.1±0.80µs 777.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=24 1.01 1841.7±1.89µs 517.8 MElem/sec 1.00 1831.3±0.94µs 520.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=8 1.01 1846.8±2.09µs 516.4 MElem/sec 1.00 1832.3±1.49µs 520.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=24 1.02 1409.5±6.18µs 676.6 MElem/sec 1.00 1382.7±2.84µs 689.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=8 1.02 1402.5±2.61µs 680.0 MElem/sec 1.00 1369.1±2.96µs 696.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=24 1.01 1990.1±2.88µs 479.2 MElem/sec 1.00 1961.0±1.85µs 486.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=8 1.01 1981.4±1.44µs 481.3 MElem/sec 1.00 1952.8±3.56µs 488.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=24 1.02 5.6±0.01ms 858.4 MElem/sec 1.00 5.5±0.00ms 872.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=8 1.01 5.6±0.00ms 857.2 MElem/sec 1.00 5.5±0.01ms 865.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=24 1.02 9.0±0.01ms 527.5 MElem/sec 1.00 8.9±0.03ms 535.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=8 1.01 9.0±0.01ms 531.1 MElem/sec 1.00 8.9±0.01ms 535.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=24 1.00 5.9±0.01ms 807.9 MElem/sec 1.00 5.9±0.01ms 811.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=8 1.01 5.9±0.01ms 803.7 MElem/sec 1.00 5.9±0.01ms 812.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=24 1.01 9.3±0.01ms 514.0 MElem/sec 1.00 9.2±0.01ms 519.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=8 1.01 9.3±0.01ms 514.1 MElem/sec 1.00 9.2±0.01ms 519.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=24 1.01 6.4±0.02ms 744.7 MElem/sec 1.00 6.3±0.01ms 751.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=8 1.01 6.4±0.02ms 742.7 MElem/sec 1.00 6.3±0.02ms 752.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=24 1.01 9.5±0.01ms 504.2 MElem/sec 1.00 9.3±0.01ms 511.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=8 1.01 9.5±0.02ms 503.8 MElem/sec 1.00 9.3±0.01ms 510.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=24 1.01 7.3±0.02ms 652.9 MElem/sec 1.00 7.2±0.01ms 657.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=8 1.01 7.2±0.01ms 658.1 MElem/sec 1.00 7.1±0.02ms 668.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=24 1.01 10.2±0.02ms 467.1 MElem/sec 1.00 10.1±0.01ms 470.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=8 1.01 10.2±0.00ms 469.2 MElem/sec 1.00 10.0±0.01ms 474.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=24 1.00 1010.7±0.17µs 943.6 MElem/sec 1.01 1016.0±0.88µs 938.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=8 1.00 1009.5±0.38µs 944.7 MElem/sec 1.01 1015.6±0.69µs 939.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=24 1.02 1409.8±1.64µs 676.5 MElem/sec 1.00 1388.5±4.27µs 686.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=8 1.02 1408.7±1.44µs 677.0 MElem/sec 1.00 1379.0±1.41µs 691.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=24 1.00 1073.8±0.43µs 888.2 MElem/sec 1.01 1083.2±0.54µs 880.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=8 1.00 1074.3±0.29µs 887.7 MElem/sec 1.01 1084.4±0.36µs 879.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=24 1.02 1446.6±0.54µs 659.3 MElem/sec 1.00 1418.6±1.39µs 672.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=8 1.02 1444.4±0.55µs 660.3 MElem/sec 1.00 1415.0±0.76µs 674.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=24 1.00 1149.8±0.80µs 829.4 MElem/sec 1.00 1146.0±2.59µs 832.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=8 1.00 1147.2±0.34µs 831.3 MElem/sec 1.00 1145.4±2.79µs 832.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=24 1.02 1489.1±0.61µs 640.4 MElem/sec 1.00 1455.0±0.98µs 655.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=8 1.02 1489.4±0.60µs 640.3 MElem/sec 1.00 1453.8±0.78µs 656.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=24 1.01 1511.6±3.34µs 630.9 MElem/sec 1.00 1490.8±4.89µs 639.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=8 1.02 1491.6±2.06µs 639.4 MElem/sec 1.00 1460.0±2.79µs 653.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=24 1.02 1695.3±1.88µs 562.5 MElem/sec 1.00 1655.3±1.65µs 576.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=8 1.03 1702.5±2.02µs 560.2 MElem/sec 1.00 1659.2±4.95µs 574.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=24 1.00 5.1±0.00ms 942.2 MElem/sec 1.00 5.1±0.00ms 939.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=8 1.00 5.1±0.00ms 940.4 MElem/sec 1.00 5.1±0.00ms 939.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=24 1.02 7.2±0.01ms 662.2 MElem/sec 1.00 7.1±0.02ms 673.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=8 1.02 7.2±0.00ms 661.6 MElem/sec 1.00 7.0±0.01ms 677.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=24 1.00 5.4±0.01ms 877.6 MElem/sec 1.01 5.5±0.01ms 872.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=8 1.00 5.4±0.01ms 875.0 MElem/sec 1.00 5.5±0.01ms 872.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=24 1.02 7.4±0.01ms 642.6 MElem/sec 1.00 7.3±0.01ms 657.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=8 1.02 7.4±0.01ms 643.2 MElem/sec 1.00 7.3±0.01ms 656.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=24 1.00 5.9±0.02ms 801.8 MElem/sec 1.00 5.9±0.01ms 804.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=8 1.00 5.9±0.01ms 801.6 MElem/sec 1.00 5.9±0.02ms 805.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=24 1.03 7.7±0.01ms 619.2 MElem/sec 1.00 7.5±0.01ms 635.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=8 1.02 7.7±0.01ms 620.8 MElem/sec 1.00 7.5±0.01ms 634.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=24 1.00 8.6±0.04ms 556.2 MElem/sec 1.00 8.6±0.05ms 555.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=8 1.01 8.5±0.02ms 558.6 MElem/sec 1.00 8.5±0.02ms 563.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=24 1.02 9.2±0.02ms 520.1 MElem/sec 1.00 9.0±0.01ms 530.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=8 1.02 9.0±0.01ms 529.0 MElem/sec 1.00 8.8±0.01ms 541.4 MElem/sec ``` </details> <details><summary>Per-runner information</summary> <details><summary>arrow_reader_string_encoding — shard 1/1</summary> **Node:** gk3-benchmark-cluster-nap-1p8mzl3a-abf1a855-8nhr **Instance:** c4a-highmem-16 (12 vCPU / 65 GiB) **uname:** ```text Linux bench-c6067332837-3206-hz62k 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 | 171.9 MiB | | Avg memory | 47.6 MiB | | CPU user | 610.4s | | CPU sys | 0.9s | | Peak spill | 0 B | **branch** | Metric | Value | |--------|-------| | Wall time | 615.1s | | Peak memory | 209.8 MiB | | Avg memory | 47.9 MiB | | CPU user | 612.8s | | 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:6067332837:finish:34004da3405b2d3aa7358a08456261b1 --> -- This is an automated message from the Apache Git Service. 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