adriangbot commented on PR #11423: URL: https://github.com/apache/arrow-rs/pull/11423#issuecomment-6045388732
🤖 Benchmark completed (GKE) | [trigger](https://github.com/apache/arrow-rs/pull/11423#issuecomment-6044909736) **Target:** arrow_reader_string_encoding Comparing rich-T-kid/parquet-dict-lowcard-reader (6a526cce0c5e9811e3366aed48fa45d21fc92eb8) to c7f60c6 (merge-base) [diff](https://github.com/apache/arrow-rs/compare/c7f60c612bd16ca5485cc9acddfd216c10ea9765..6a526cce0c5e9811e3366aed48fa45d21fc92eb8) <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 2.48 1096.1±0.66µs 870.1 MElem/sec 1.00 442.2±0.40µs 2.1 GElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.00/len=8 2.46 1092.3±0.85µs 873.1 MElem/sec 1.00 443.5±0.31µs 2.1 GElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=24 1.58 1772.9±0.90µs 537.9 MElem/sec 1.00 1124.9±0.35µs 847.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=8 1.57 1767.0±1.26µs 539.7 MElem/sec 1.00 1122.7±0.57µs 849.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=24 2.26 1154.7±0.42µs 825.9 MElem/sec 1.00 510.8±0.15µs 1867.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=8 2.25 1153.7±0.45µs 826.6 MElem/sec 1.00 511.8±0.18µs 1863.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=24 1.55 1821.3±1.60µs 523.6 MElem/sec 1.00 1175.4±1.46µs 811.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=8 1.55 1819.8±1.53µs 524.1 MElem/sec 1.00 1172.8±0.62µs 813.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=24 2.12 1242.9±1.16µs 767.3 MElem/sec 1.00 587.6±0.98µs 1623.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=8 2.10 1237.8±0.80µs 770.4 MElem/sec 1.00 589.3±0.79µs 1618.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=24 1.54 1855.5±0.91µs 514.0 MElem/sec 1.00 1206.7±1.32µs 790.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=8 1.53 1854.0±5.68µs 514.4 MElem/sec 1.00 1211.5±1.59µs 787.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=24 1.89 1403.5±1.35µs 679.5 MElem/sec 1.00 740.6±1.34µs 1287.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=8 1.93 1398.8±2.43µs 681.8 MElem/sec 1.00 725.9±3.32µs 1313.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=24 1.50 1987.4±0.66µs 479.9 MElem/sec 1.00 1327.2±1.01µs 718.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=8 1.50 1979.7±3.91µs 481.7 MElem/sec 1.00 1319.3±2.76µs 722.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=24 2.46 5.4±0.00ms 878.2 MElem/sec 1.00 2.2±0.00ms 2.1 GElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=8 2.45 5.4±0.00ms 876.6 MElem/sec 1.00 2.2±0.00ms 2.1 GElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=24 1.57 8.9±0.01ms 534.5 MElem/sec 1.00 5.7±0.00ms 837.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=8 1.57 8.9±0.01ms 534.1 MElem/sec 1.00 5.7±0.00ms 839.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=24 2.30 5.8±0.04ms 816.0 MElem/sec 1.00 2.5±0.00ms 1876.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=8 2.28 5.8±0.00ms 821.7 MElem/sec 1.00 2.5±0.00ms 1877.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=24 1.54 9.2±0.01ms 519.7 MElem/sec 1.00 6.0±0.01ms 799.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=8 1.55 9.2±0.03ms 518.4 MElem/sec 1.00 6.0±0.01ms 801.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=24 2.12 6.2±0.01ms 767.8 MElem/sec 1.00 2.9±0.01ms 1625.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=8 2.13 6.2±0.00ms 765.0 MElem/sec 1.00 2.9±0.00ms 1627.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=24 1.53 9.3±0.03ms 510.7 MElem/sec 1.00 6.1±0.00ms 781.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=8 1.54 9.4±0.04ms 506.5 MElem/sec 1.00 6.1±0.02ms 780.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=24 1.89 7.0±0.01ms 681.3 MElem/sec 1.00 3.7±0.04ms 1287.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=8 1.95 7.1±0.10ms 675.0 MElem/sec 1.00 3.6±0.03ms 1317.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=24 1.50 10.1±0.10ms 473.2 MElem/sec 1.00 6.7±0.01ms 711.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=8 1.50 10.0±0.02ms 477.6 MElem/sec 1.00 6.7±0.04ms 715.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=24 1.00 1006.1±0.11µs 947.8 MElem/sec 1.01 1014.6±0.87µs 940.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=8 1.00 1006.9±0.33µs 947.2 MElem/sec 1.01 1014.8±0.34µs 939.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=24 1.00 1371.8±0.94µs 695.2 MElem/sec 1.00 1376.7±0.38µs 692.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=8 1.00 1367.9±0.77µs 697.2 MElem/sec 1.01 1380.7±0.69µs 690.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=24 1.00 1073.2±0.28µs 888.6 MElem/sec 1.01 1080.1±0.24µs 883.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=8 1.00 1074.2±0.26µs 887.8 MElem/sec 1.00 1079.4±0.29µs 883.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=24 1.00 1408.1±1.38µs 677.3 MElem/sec 1.01 1416.8±0.66µs 673.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=8 1.00 1405.7±0.62µs 678.4 MElem/sec 1.01 1414.6±0.27µs 674.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=24 1.00 1135.7±4.34µs 839.7 MElem/sec 1.01 1142.7±3.83µs 834.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=8 1.00 1138.9±3.88µs 837.4 MElem/sec 1.00 1140.4±3.79µs 836.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=24 1.00 1449.8±1.60µs 657.8 MElem/sec 1.00 1453.0±2.18µs 656.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=8 1.00 1443.3±1.73µs 660.8 MElem/sec 1.00 1448.6±1.93µs 658.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=24 1.00 1485.8±3.00µs 641.8 MElem/sec 1.00 1488.7±2.23µs 640.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=8 1.00 1465.0±3.66µs 651.0 MElem/sec 1.02 1488.3±6.54µs 640.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=24 1.01 1675.8±0.80µs 569.1 MElem/sec 1.00 1656.9±1.21µs 575.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=8 1.00 1633.0±1.64µs 584.0 MElem/sec 1.01 1644.2±1.99µs 580.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=24 1.00 5.0±0.00ms 948.2 MElem/sec 1.01 5.1±0.00ms 942.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=8 1.00 5.0±0.00ms 947.6 MElem/sec 1.00 5.1±0.00ms 943.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=24 1.00 6.9±0.00ms 687.5 MElem/sec 1.01 7.0±0.03ms 679.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=8 1.00 6.9±0.00ms 688.4 MElem/sec 1.01 7.0±0.01ms 684.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=24 1.00 5.4±0.00ms 890.4 MElem/sec 1.01 5.4±0.01ms 885.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=8 1.00 5.4±0.00ms 890.7 MElem/sec 1.01 5.4±0.00ms 884.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=24 1.00 7.2±0.04ms 666.7 MElem/sec 1.00 7.2±0.00ms 664.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=8 1.00 7.1±0.00ms 670.3 MElem/sec 1.01 7.2±0.02ms 664.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=24 1.00 5.7±0.04ms 833.0 MElem/sec 1.01 5.8±0.03ms 828.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=8 1.00 5.7±0.07ms 830.0 MElem/sec 1.00 5.7±0.02ms 833.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=24 1.00 7.3±0.01ms 651.9 MElem/sec 1.01 7.4±0.03ms 645.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=8 1.00 7.3±0.03ms 653.5 MElem/sec 1.01 7.4±0.01ms 648.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=24 1.04 7.9±0.37ms 605.3 MElem/sec 1.00 7.6±0.09ms 631.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=8 1.00 7.6±0.21ms 624.1 MElem/sec 1.00 7.6±0.24ms 623.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=24 1.00 8.3±0.02ms 573.0 MElem/sec 1.01 8.4±0.01ms 568.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=8 1.00 8.3±0.19ms 572.1 MElem/sec 1.01 8.4±0.14ms 566.7 MElem/sec ``` </details> <details><summary>Per-runner information</summary> <details><summary>arrow_reader_string_encoding — shard 1/1</summary> **Node:** gk3-benchmark-cluster-nap-1qxrz5np-2d0a3c76-2q8r **Instance:** c4a-highcpu-48 (12 vCPU / 65 GiB) **uname:** ```text Linux bench-c6044909736-3148-kvqlq 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): 48 On-line CPU(s) list: 0-47 Vendor ID: ARM Model name: Neoverse-V2 Model: 1 Thread(s) per core: 1 Core(s) per cluster: 48 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: 3 MiB (48 instances) L1i cache: 3 MiB (48 instances) L2 cache: 96 MiB (48 instances) L3 cache: 80 MiB (1 instance) NUMA node(s): 1 NUMA node0 CPU(s): 0-47 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 | 99.8 MiB | | Avg memory | 47.3 MiB | | CPU user | 621.5s | | CPU sys | 0.9s | | Peak spill | 0 B | **branch** | Metric | Value | |--------|-------| | Wall time | 620.1s | | Peak memory | 172.4 MiB | | Avg memory | 31.2 MiB | | CPU user | 615.6s | | 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:6044909736:finish:b86c8d2a1fdf041f10c897653eb3eeec --> -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
