adriangbot commented on PR #11464: URL: https://github.com/apache/arrow-rs/pull/11464#issuecomment-6243799836
🤖 Benchmark completed (GKE) | [trigger](https://github.com/apache/arrow-rs/pull/11464#issuecomment-6243353634) **Target:** arrow_reader_string_encoding Comparing rich-T-kid/parquet-dict-lowcard-reader-3 (d450548ff241dd8edbff2189cbefbbe36f4f4e63) to 8f4bb0c (merge-base) [diff](https://github.com/apache/arrow-rs/compare/8f4bb0caa723c9536e59669418d475a6b544d2e9..d450548ff241dd8edbff2189cbefbbe36f4f4e63) <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 1.01 1094.2±0.45µs 871.6 MElem/sec 1.00 1080.1±0.30µs 883.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.00/len=8 1.01 1096.0±0.90µs 870.2 MElem/sec 1.00 1085.0±0.81µs 878.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=24 1.00 1769.5±1.00µs 539.0 MElem/sec 1.00 1768.1±0.54µs 539.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=8 1.00 1771.4±0.84µs 538.4 MElem/sec 1.00 1765.7±0.85µs 540.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=24 1.01 1161.4±0.92µs 821.1 MElem/sec 1.00 1146.2±2.77µs 832.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=8 1.01 1162.9±1.00µs 820.1 MElem/sec 1.00 1146.8±0.70µs 831.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=24 1.00 1811.8±1.04µs 526.4 MElem/sec 1.00 1817.9±1.03µs 524.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=8 1.00 1817.0±1.86µs 524.9 MElem/sec 1.00 1815.1±0.90µs 525.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=24 1.00 1228.7±5.23µs 776.2 MElem/sec 1.00 1224.7±4.70µs 778.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=8 1.00 1226.6±4.72µs 777.5 MElem/sec 1.00 1225.4±5.10µs 778.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=24 1.00 1851.6±2.58µs 515.1 MElem/sec 1.00 1845.5±3.06µs 516.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=8 1.00 1849.1±1.74µs 515.7 MElem/sec 1.00 1844.5±2.34µs 517.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=24 1.00 1381.7±6.30µs 690.2 MElem/sec 1.00 1386.6±6.09µs 687.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=8 1.00 1382.3±2.18µs 689.9 MElem/sec 1.00 1377.2±4.23µs 692.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=24 1.00 1990.1±4.59µs 479.2 MElem/sec 1.00 1982.5±5.30µs 481.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=8 1.00 1977.4±2.11µs 482.3 MElem/sec 1.00 1974.8±1.41µs 482.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=24 1.01 5.5±0.01ms 872.7 MElem/sec 1.00 5.4±0.01ms 877.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=8 1.02 5.5±0.01ms 861.3 MElem/sec 1.00 5.4±0.01ms 875.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=24 1.00 9.0±0.01ms 530.3 MElem/sec 1.00 9.0±0.01ms 531.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=8 1.01 9.0±0.02ms 531.2 MElem/sec 1.00 8.9±0.01ms 534.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=24 1.01 5.9±0.02ms 805.0 MElem/sec 1.00 5.9±0.03ms 812.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=8 1.02 5.9±0.02ms 811.2 MElem/sec 1.00 5.8±0.04ms 825.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=24 1.00 9.3±0.01ms 514.7 MElem/sec 1.00 9.3±0.01ms 514.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=8 1.00 9.2±0.01ms 515.9 MElem/sec 1.00 9.3±0.02ms 513.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=24 1.00 6.3±0.06ms 758.6 MElem/sec 1.00 6.3±0.03ms 755.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=8 1.00 6.3±0.05ms 758.6 MElem/sec 1.01 6.3±0.03ms 754.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=24 1.00 9.4±0.04ms 504.9 MElem/sec 1.00 9.4±0.02ms 505.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=8 1.00 9.4±0.05ms 505.5 MElem/sec 1.00 9.4±0.02ms 507.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=24 1.00 7.2±0.03ms 662.1 MElem/sec 1.00 7.2±0.04ms 660.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=8 1.01 7.2±0.01ms 666.2 MElem/sec 1.00 7.1±0.07ms 671.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=24 1.00 10.2±0.03ms 468.6 MElem/sec 1.00 10.2±0.03ms 467.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=8 1.00 10.2±0.01ms 469.0 MElem/sec 1.00 10.2±0.01ms 469.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=24 1.00 1013.1±0.49µs 941.3 MElem/sec 1.00 1011.8±0.50µs 942.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=8 1.00 1012.6±0.46µs 941.8 MElem/sec 1.00 1011.9±0.44µs 942.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=24 1.03 1415.2±0.35µs 673.9 MElem/sec 1.00 1378.3±0.42µs 691.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=8 1.03 1412.2±0.45µs 675.3 MElem/sec 1.00 1377.0±0.44µs 692.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=24 1.00 1076.6±0.53µs 885.8 MElem/sec 1.00 1077.3±0.73µs 885.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=8 1.00 1087.4±0.97µs 877.0 MElem/sec 1.00 1084.6±0.45µs 879.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=24 1.03 1455.1±0.77µs 655.4 MElem/sec 1.00 1413.9±0.45µs 674.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=8 1.02 1445.7±0.36µs 659.7 MElem/sec 1.00 1415.4±0.65µs 673.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=24 1.00 1145.1±4.31µs 832.9 MElem/sec 1.00 1141.1±4.05µs 835.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=8 1.01 1145.6±4.65µs 832.5 MElem/sec 1.00 1139.5±4.81µs 836.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=24 1.03 1492.8±1.67µs 638.9 MElem/sec 1.00 1454.5±1.42µs 655.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=8 1.02 1490.5±1.86µs 639.8 MElem/sec 1.00 1454.5±2.60µs 655.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=24 1.02 1517.0±11.97µs 628.6 MElem/sec 1.00 1489.9±4.76µs 640.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=8 1.00 1485.9±4.67µs 641.8 MElem/sec 1.01 1493.4±5.53µs 638.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=24 1.02 1706.2±3.75µs 558.9 MElem/sec 1.00 1670.4±1.82µs 570.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=8 1.02 1684.9±2.25µs 566.0 MElem/sec 1.00 1654.9±3.28µs 576.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=24 1.00 5.1±0.01ms 943.3 MElem/sec 1.00 5.1±0.01ms 942.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=8 1.00 5.1±0.00ms 943.3 MElem/sec 1.00 5.1±0.01ms 942.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=24 1.03 7.2±0.01ms 663.8 MElem/sec 1.00 7.0±0.01ms 682.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=8 1.03 7.2±0.00ms 663.7 MElem/sec 1.00 7.0±0.01ms 681.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=24 1.00 5.4±0.01ms 876.4 MElem/sec 1.00 5.4±0.01ms 879.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=8 1.00 5.5±0.04ms 874.2 MElem/sec 1.00 5.4±0.01ms 875.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=24 1.02 7.4±0.01ms 644.0 MElem/sec 1.00 7.2±0.03ms 658.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=8 1.03 7.4±0.01ms 644.0 MElem/sec 1.00 7.2±0.03ms 661.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=24 1.00 5.9±0.08ms 811.6 MElem/sec 1.00 5.8±0.04ms 815.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=8 1.00 5.8±0.07ms 820.4 MElem/sec 1.01 5.9±0.06ms 810.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=24 1.03 7.7±0.02ms 623.3 MElem/sec 1.00 7.5±0.04ms 640.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=8 1.02 7.6±0.03ms 625.5 MElem/sec 1.00 7.5±0.04ms 639.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=24 1.01 8.6±0.04ms 553.4 MElem/sec 1.00 8.5±0.05ms 559.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=8 1.03 8.5±0.05ms 559.8 MElem/sec 1.00 8.3±0.12ms 576.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=24 1.01 9.0±0.14ms 528.3 MElem/sec 1.00 8.9±0.13ms 536.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=8 1.03 9.0±0.05ms 529.2 MElem/sec 1.00 8.7±0.02ms 547.5 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-b47fd8bf-tjhl **Instance:** c4a-highmem-16 (12 vCPU / 65 GiB) **uname:** ```text Linux bench-c6243353634-3561-lmjh8 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 | 118.8 MiB | | Avg memory | 47.4 MiB | | CPU user | 611.4s | | CPU sys | 1.0s | | Peak spill | 0 B | **branch** | Metric | Value | |--------|-------| | Wall time | 620.1s | | Peak memory | 210.4 MiB | | Avg memory | 48.4 MiB | | CPU user | 617.8s | | CPU sys | 1.0s | | Peak spill | 0 B | </details> </details> </details> --- [File an issue](https://github.com/adriangb/datafusion-benchmarking/issues) against this benchmark runner <!-- benchmark-request:6243353634:finish:7fc0438fcd067409e6232eb95e04947b --> -- This is an automated message from the Apache Git Service. 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