adriangbot commented on PR #11462: URL: https://github.com/apache/arrow-rs/pull/11462#issuecomment-6243604129
🤖 Benchmark completed (GKE) | [trigger](https://github.com/apache/arrow-rs/pull/11462#issuecomment-6243327346) **Target:** arrow_reader_string_encoding Comparing rich-T-kid/parquet-dict-lowcard-reader-1 (761f966128b281a28e0f99f3d6e0a03e7cf560df) to 8f4bb0c (merge-base) [diff](https://github.com/apache/arrow-rs/compare/8f4bb0caa723c9536e59669418d475a6b544d2e9..761f966128b281a28e0f99f3d6e0a03e7cf560df) <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 2.22 1093.6±0.60µs 872.0 MElem/sec 1.00 491.5±1.00µs 1940.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.00/len=8 2.23 1095.4±2.34µs 870.6 MElem/sec 1.00 491.2±0.64µs 1941.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=24 1.52 1768.7±1.18µs 539.2 MElem/sec 1.00 1166.7±0.79µs 817.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=8 1.51 1767.3±1.17µs 539.6 MElem/sec 1.00 1166.8±1.97µs 817.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=24 2.10 1160.8±0.45µs 821.6 MElem/sec 1.00 551.8±0.40µs 1728.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=8 2.09 1160.6±0.40µs 821.7 MElem/sec 1.00 554.1±1.04µs 1721.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=24 1.50 1817.9±1.40µs 524.6 MElem/sec 1.00 1213.1±0.60µs 786.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=8 1.50 1815.2±0.78µs 525.4 MElem/sec 1.00 1207.2±0.31µs 790.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=24 1.96 1245.0±0.72µs 766.0 MElem/sec 1.00 634.6±5.19µs 1502.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=8 1.99 1248.4±0.71µs 763.9 MElem/sec 1.00 628.2±5.33µs 1518.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=24 1.49 1861.0±5.13µs 512.5 MElem/sec 1.00 1245.7±1.96µs 765.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=8 1.49 1853.3±1.12µs 514.6 MElem/sec 1.00 1241.3±3.24µs 768.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=24 1.78 1401.9±2.32µs 680.3 MElem/sec 1.00 785.9±5.07µs 1213.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=8 1.80 1389.8±3.50µs 686.2 MElem/sec 1.00 773.7±2.02µs 1232.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=24 1.45 1985.1±0.62µs 480.4 MElem/sec 1.00 1369.6±2.66µs 696.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=8 1.45 1971.0±3.10µs 483.8 MElem/sec 1.00 1358.3±0.84µs 702.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=24 2.24 5.5±0.03ms 864.1 MElem/sec 1.00 2.5±0.01ms 1934.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=8 2.22 5.5±0.00ms 865.6 MElem/sec 1.00 2.5±0.01ms 1923.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=24 1.52 8.9±0.02ms 533.3 MElem/sec 1.00 5.9±0.02ms 809.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=8 1.54 9.1±0.01ms 525.9 MElem/sec 1.00 5.9±0.01ms 807.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=24 2.10 5.8±0.00ms 823.5 MElem/sec 1.00 2.8±0.00ms 1731.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=8 2.09 5.8±0.00ms 824.1 MElem/sec 1.00 2.8±0.01ms 1722.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=24 1.50 9.2±0.01ms 520.3 MElem/sec 1.00 6.1±0.01ms 781.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=8 1.50 9.2±0.01ms 520.4 MElem/sec 1.00 6.1±0.00ms 779.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=24 2.00 6.3±0.05ms 756.6 MElem/sec 1.00 3.2±0.03ms 1510.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=8 1.97 6.2±0.00ms 770.4 MElem/sec 1.00 3.1±0.03ms 1520.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=24 1.50 9.5±0.04ms 501.5 MElem/sec 1.00 6.3±0.01ms 754.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=8 1.52 9.5±0.01ms 502.6 MElem/sec 1.00 6.3±0.01ms 761.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=24 1.83 7.2±0.04ms 663.8 MElem/sec 1.00 3.9±0.03ms 1215.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=8 1.86 7.2±0.02ms 664.1 MElem/sec 1.00 3.9±0.01ms 1233.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=24 1.47 10.2±0.01ms 465.8 MElem/sec 1.00 7.0±0.04ms 683.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=8 1.48 10.1±0.03ms 471.2 MElem/sec 1.00 6.8±0.00ms 697.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=24 1.00 1011.7±0.26µs 942.6 MElem/sec 1.00 1015.9±0.18µs 938.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=8 1.00 1011.9±0.59µs 942.4 MElem/sec 1.00 1015.7±0.56µs 938.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=24 1.00 1412.7±0.82µs 675.1 MElem/sec 1.00 1415.0±2.52µs 674.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=8 1.00 1411.0±0.77µs 675.9 MElem/sec 1.00 1411.5±1.37µs 675.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=24 1.00 1074.7±0.17µs 887.4 MElem/sec 1.00 1076.5±1.09µs 885.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=8 1.00 1074.7±0.35µs 887.4 MElem/sec 1.01 1083.9±3.38µs 879.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=24 1.00 1447.9±0.83µs 658.6 MElem/sec 1.00 1450.2±0.64µs 657.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=8 1.00 1445.1±1.03µs 660.0 MElem/sec 1.00 1448.2±0.50µs 658.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=24 1.01 1152.8±0.87µs 827.3 MElem/sec 1.00 1141.8±3.98µs 835.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=8 1.01 1151.8±1.03µs 828.0 MElem/sec 1.00 1142.6±3.91µs 834.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=24 1.00 1488.9±2.87µs 640.5 MElem/sec 1.00 1491.5±2.03µs 639.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=8 1.00 1501.6±0.71µs 635.1 MElem/sec 1.00 1496.3±1.93µs 637.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=24 1.01 1499.3±4.88µs 636.1 MElem/sec 1.00 1484.7±3.28µs 642.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=8 1.01 1479.7±1.19µs 644.5 MElem/sec 1.00 1466.5±6.70µs 650.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=24 1.00 1694.3±1.62µs 562.9 MElem/sec 1.00 1688.5±2.97µs 564.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=8 1.00 1682.9±0.79µs 566.7 MElem/sec 1.01 1692.3±3.89µs 563.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=24 1.00 5.1±0.00ms 941.5 MElem/sec 1.00 5.1±0.00ms 941.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=8 1.00 5.1±0.00ms 941.1 MElem/sec 1.00 5.1±0.00ms 939.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=24 1.00 7.1±0.00ms 668.8 MElem/sec 1.01 7.2±0.01ms 664.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=8 1.01 7.2±0.01ms 662.3 MElem/sec 1.00 7.1±0.02ms 667.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=24 1.00 5.4±0.00ms 888.7 MElem/sec 1.00 5.4±0.00ms 886.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=8 1.00 5.4±0.01ms 887.6 MElem/sec 1.00 5.4±0.00ms 888.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=24 1.00 7.3±0.01ms 654.3 MElem/sec 1.00 7.3±0.01ms 654.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=8 1.00 7.3±0.01ms 656.1 MElem/sec 1.01 7.3±0.00ms 652.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=24 1.05 6.0±0.01ms 795.6 MElem/sec 1.00 5.7±0.03ms 834.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=8 1.01 5.8±0.02ms 823.5 MElem/sec 1.00 5.7±0.02ms 835.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=24 1.03 7.7±0.01ms 617.4 MElem/sec 1.00 7.5±0.01ms 637.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=8 1.03 7.7±0.03ms 616.7 MElem/sec 1.00 7.5±0.01ms 636.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=24 1.13 8.5±0.08ms 560.9 MElem/sec 1.00 7.5±0.04ms 634.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=8 1.06 7.9±0.14ms 602.1 MElem/sec 1.00 7.4±0.02ms 640.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=24 1.06 9.2±0.04ms 516.7 MElem/sec 1.00 8.7±0.14ms 549.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=8 1.05 9.0±0.02ms 531.9 MElem/sec 1.00 8.5±0.07ms 558.9 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-c6243327346-3555-44jrr 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 | 173.7 MiB | | Avg memory | 47.9 MiB | | CPU user | 616.5s | | CPU sys | 0.9s | | Peak spill | 0 B | **branch** | Metric | Value | |--------|-------| | Wall time | 610.1s | | Peak memory | 173.5 MiB | | Avg memory | 47.7 MiB | | CPU user | 606.8s | | 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:6243327346:finish:ad8ddf92b3555e2a2b5d4a0c374a2558 --> -- This is an automated message from the Apache Git Service. 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