adriangbot commented on PR #11464: URL: https://github.com/apache/arrow-rs/pull/11464#issuecomment-6243601546
🤖 Benchmark completed (GKE) | [trigger](https://github.com/apache/arrow-rs/pull/11464#issuecomment-6243327351) **Target:** arrow_reader_string_encoding Comparing rich-T-kid/parquet-dict-lowcard-reader-3 (f8470b9bacd83c53e5df3893f6108703e58a546c) to 8f4bb0c (merge-base) [diff](https://github.com/apache/arrow-rs/compare/8f4bb0caa723c9536e59669418d475a6b544d2e9..f8470b9bacd83c53e5df3893f6108703e58a546c) <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 1095.2±1.33µs 870.8 MElem/sec 1.00 1077.3±0.50µs 885.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.00/len=8 1.02 1100.7±15.92µs 866.4 MElem/sec 1.00 1076.5±0.65µs 885.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=24 1.00 1767.6±1.93µs 539.5 MElem/sec 1.00 1763.8±1.08µs 540.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=8 1.00 1769.9±5.76µs 538.8 MElem/sec 1.00 1761.4±0.80µs 541.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=24 1.01 1155.8±1.57µs 825.1 MElem/sec 1.00 1143.5±0.42µs 834.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=8 1.01 1155.1±0.79µs 825.6 MElem/sec 1.00 1143.5±3.12µs 834.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=24 1.00 1811.6±1.91µs 526.4 MElem/sec 1.00 1808.8±0.65µs 527.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=8 1.01 1820.6±4.08µs 523.8 MElem/sec 1.00 1806.3±0.78µs 528.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=24 1.02 1237.5±5.02µs 770.6 MElem/sec 1.00 1213.8±4.41µs 785.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=8 1.02 1234.6±4.10µs 772.5 MElem/sec 1.00 1210.9±4.37µs 787.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=24 1.01 1852.6±2.79µs 514.8 MElem/sec 1.00 1835.4±2.48µs 519.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=8 1.01 1849.5±1.53µs 515.6 MElem/sec 1.00 1835.9±1.84µs 519.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=24 1.02 1395.4±4.59µs 683.5 MElem/sec 1.00 1370.7±3.54µs 695.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=8 1.01 1383.1±1.74µs 689.5 MElem/sec 1.00 1370.1±1.98µs 696.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=24 1.01 1990.3±2.10µs 479.2 MElem/sec 1.00 1970.3±2.37µs 484.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=8 1.00 1970.1±6.22µs 484.1 MElem/sec 1.00 1962.9±0.81µs 485.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=24 1.02 5.5±0.00ms 862.8 MElem/sec 1.00 5.4±0.02ms 876.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=8 1.02 5.5±0.01ms 863.7 MElem/sec 1.00 5.4±0.01ms 879.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=24 1.01 9.0±0.02ms 531.1 MElem/sec 1.00 8.9±0.01ms 534.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=8 1.01 9.0±0.01ms 530.6 MElem/sec 1.00 8.9±0.01ms 535.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=24 1.01 5.9±0.01ms 804.3 MElem/sec 1.00 5.9±0.02ms 809.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=8 1.02 5.9±0.01ms 801.4 MElem/sec 1.00 5.9±0.01ms 813.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=24 1.00 9.2±0.02ms 517.7 MElem/sec 1.00 9.2±0.01ms 515.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=8 1.00 9.3±0.01ms 515.2 MElem/sec 1.00 9.2±0.01ms 516.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=24 1.02 6.4±0.01ms 744.2 MElem/sec 1.00 6.3±0.04ms 761.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=8 1.01 6.4±0.05ms 748.1 MElem/sec 1.00 6.3±0.02ms 757.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=24 1.00 9.4±0.01ms 504.8 MElem/sec 1.00 9.4±0.03ms 506.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=8 1.01 9.4±0.01ms 505.1 MElem/sec 1.00 9.4±0.02ms 508.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=24 1.01 7.3±0.04ms 651.1 MElem/sec 1.00 7.2±0.03ms 658.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=8 1.01 7.3±0.03ms 656.9 MElem/sec 1.00 7.2±0.02ms 663.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=24 1.00 10.2±0.02ms 467.0 MElem/sec 1.00 10.2±0.02ms 466.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=8 1.00 10.2±0.04ms 469.6 MElem/sec 1.00 10.2±0.02ms 468.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=24 1.00 1013.5±0.47µs 940.9 MElem/sec 1.00 1013.0±0.39µs 941.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=8 1.00 1013.2±0.65µs 941.2 MElem/sec 1.00 1011.5±0.25µs 942.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=24 1.03 1422.0±1.41µs 670.7 MElem/sec 1.00 1385.0±1.28µs 688.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=8 1.03 1411.7±2.15µs 675.5 MElem/sec 1.00 1374.9±0.40µs 693.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=24 1.00 1074.0±0.95µs 887.9 MElem/sec 1.00 1075.1±0.30µs 887.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=8 1.00 1076.2±0.60µs 886.2 MElem/sec 1.00 1075.5±0.21µs 886.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=24 1.03 1446.6±0.92µs 659.2 MElem/sec 1.00 1409.9±0.69µs 676.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=8 1.03 1445.8±5.76µs 659.6 MElem/sec 1.00 1405.5±0.28µs 678.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=24 1.00 1153.4±3.42µs 826.8 MElem/sec 1.00 1152.3±0.45µs 827.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=8 1.01 1154.5±4.16µs 826.0 MElem/sec 1.00 1147.1±0.39µs 831.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=24 1.03 1490.9±2.44µs 639.7 MElem/sec 1.00 1451.5±0.75µs 657.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=8 1.03 1492.0±2.64µs 639.2 MElem/sec 1.00 1451.5±0.82µs 657.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=24 1.00 1490.0±4.20µs 640.0 MElem/sec 1.00 1495.6±3.60µs 637.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=8 1.00 1479.9±5.18µs 644.4 MElem/sec 1.01 1494.6±2.65µs 638.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=24 1.02 1690.7±2.66µs 564.1 MElem/sec 1.00 1654.3±1.36µs 576.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=8 1.02 1679.0±1.89µs 568.0 MElem/sec 1.00 1643.8±1.80µs 580.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=24 1.00 5.1±0.00ms 941.9 MElem/sec 1.01 5.1±0.01ms 937.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=8 1.00 5.1±0.00ms 941.2 MElem/sec 1.00 5.1±0.01ms 940.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=24 1.01 7.2±0.02ms 663.5 MElem/sec 1.00 7.1±0.02ms 673.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=8 1.02 7.2±0.01ms 663.5 MElem/sec 1.00 7.0±0.01ms 677.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=24 1.00 5.4±0.01ms 877.8 MElem/sec 1.01 5.5±0.01ms 871.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=8 1.00 5.4±0.02ms 878.7 MElem/sec 1.01 5.5±0.01ms 871.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=24 1.01 7.3±0.03ms 651.6 MElem/sec 1.00 7.2±0.02ms 657.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=8 1.01 7.4±0.02ms 646.1 MElem/sec 1.00 7.3±0.02ms 655.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=24 1.00 6.0±0.02ms 796.4 MElem/sec 1.00 6.0±0.02ms 794.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=8 1.00 5.9±0.06ms 806.8 MElem/sec 1.02 6.0±0.02ms 793.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=24 1.01 7.7±0.03ms 621.9 MElem/sec 1.00 7.6±0.01ms 629.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=8 1.01 7.6±0.01ms 623.4 MElem/sec 1.00 7.5±0.02ms 632.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=24 1.00 8.5±0.04ms 558.2 MElem/sec 1.03 8.8±0.03ms 544.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=8 1.00 8.5±0.03ms 563.8 MElem/sec 1.03 8.7±0.04ms 549.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=24 1.00 9.1±0.03ms 525.9 MElem/sec 1.01 9.1±0.04ms 522.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=8 1.00 8.9±0.04ms 535.8 MElem/sec 1.01 9.0±0.05ms 528.7 MElem/sec ``` </details> <details><summary>Per-runner information</summary> <details><summary>arrow_reader_string_encoding — shard 1/1</summary> **Node:** gk3-benchmark-cluster-nap-6w578g6k-91d303e9-rcbx **Instance:** c4a-highmem-16 (12 vCPU / 65 GiB) **uname:** ```text Linux bench-c6243327351-3556-9bhlb 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 | 620.1s | | Peak memory | 136.1 MiB | | Avg memory | 47.6 MiB | | CPU user | 612.4s | | CPU sys | 1.0s | | Peak spill | 0 B | **branch** | Metric | Value | |--------|-------| | Wall time | 625.1s | | Peak memory | 133.1 MiB | | Avg memory | 47.9 MiB | | CPU user | 618.8s | | 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:6243327351:finish:f181716e43173909066ab930b901e6d2 --> -- This is an automated message from the Apache Git Service. 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