adriangbot commented on PR #11465: URL: https://github.com/apache/arrow-rs/pull/11465#issuecomment-6067744261
🤖 Benchmark completed (GKE) | [trigger](https://github.com/apache/arrow-rs/pull/11465#issuecomment-6067327303) **Target:** arrow_reader_string_encoding Comparing rich-T-kid/parquet-dict-lowcard-reader-4 (b5e5e71db52f0266d65f8c1179bf08b2c56c3873) to c7f60c6 (merge-base) [diff](https://github.com/apache/arrow-rs/compare/c7f60c612bd16ca5485cc9acddfd216c10ea9765..b5e5e71db52f0266d65f8c1179bf08b2c56c3873) <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 1.00 1100.1±0.39µs 866.9 MElem/sec 1.00 1099.4±0.61µs 867.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.00/len=8 1.00 1097.9±0.91µs 868.6 MElem/sec 1.00 1097.8±0.36µs 868.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=24 1.00 1777.4±0.95µs 536.6 MElem/sec 1.00 1777.9±2.40µs 536.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=10/nulls=0.50/len=8 1.02 1770.8±0.52µs 538.6 MElem/sec 1.00 1744.4±3.99µs 546.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=24 1.00 1159.9±0.46µs 822.2 MElem/sec 1.00 1162.5±1.04µs 820.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.00/len=8 1.00 1160.7±0.19µs 821.6 MElem/sec 1.00 1163.0±0.35µs 820.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=24 1.00 1818.8±1.35µs 524.3 MElem/sec 1.00 1821.7±1.65µs 523.5 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=100/nulls=0.50/len=8 1.00 1819.2±1.37µs 524.2 MElem/sec 1.00 1817.1±1.07µs 524.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=24 1.00 1249.3±1.18µs 763.4 MElem/sec 1.00 1245.4±1.13µs 765.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.00/len=8 1.00 1242.0±0.67µs 767.8 MElem/sec 1.00 1242.8±0.53µs 767.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=24 1.00 1852.5±1.08µs 514.8 MElem/sec 1.00 1856.1±1.04µs 513.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=1000/nulls=0.50/len=8 1.01 1861.8±1.06µs 512.2 MElem/sec 1.00 1848.3±1.45µs 516.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=24 1.00 1401.2±0.87µs 680.6 MElem/sec 1.00 1399.2±0.75µs 681.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.00/len=8 1.00 1392.2±3.23µs 685.0 MElem/sec 1.00 1390.0±2.52µs 686.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=24 1.00 2.0±0.00ms 475.0 MElem/sec 1.00 1998.0±6.49µs 477.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=1000000/card=20000/nulls=0.50/len=8 1.00 1978.0±1.55µs 482.1 MElem/sec 1.00 1975.5±2.13µs 482.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=24 1.01 5.5±0.01ms 861.5 MElem/sec 1.00 5.5±0.01ms 869.0 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=8 1.01 5.5±0.01ms 861.1 MElem/sec 1.00 5.5±0.00ms 867.2 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=24 1.00 8.9±0.01ms 534.3 MElem/sec 1.00 8.9±0.01ms 536.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=8 1.00 8.9±0.00ms 534.9 MElem/sec 1.00 8.9±0.01ms 534.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=24 1.00 5.8±0.01ms 821.3 MElem/sec 1.00 5.8±0.00ms 819.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.00/len=8 1.00 5.8±0.00ms 819.6 MElem/sec 1.00 5.8±0.00ms 821.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=24 1.00 9.2±0.01ms 520.8 MElem/sec 1.00 9.2±0.01ms 519.7 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=100/nulls=0.50/len=8 1.00 9.2±0.01ms 520.4 MElem/sec 1.00 9.2±0.01ms 519.1 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=24 1.00 6.2±0.01ms 768.7 MElem/sec 1.00 6.2±0.01ms 767.4 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.00/len=8 1.00 6.2±0.01ms 766.9 MElem/sec 1.00 6.2±0.01ms 766.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=24 1.00 9.3±0.01ms 512.6 MElem/sec 1.00 9.3±0.01ms 512.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=1000/nulls=0.50/len=8 1.00 9.3±0.01ms 512.0 MElem/sec 1.00 9.3±0.01ms 512.8 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=24 1.01 7.0±0.00ms 676.6 MElem/sec 1.00 7.0±0.01ms 681.3 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.00/len=8 1.01 7.0±0.01ms 681.9 MElem/sec 1.00 6.9±0.02ms 687.9 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=24 1.01 10.0±0.03ms 474.6 MElem/sec 1.00 10.0±0.01ms 477.6 MElem/sec RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=20000/nulls=0.50/len=8 1.01 10.0±0.01ms 476.3 MElem/sec 1.00 9.9±0.01ms 480.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=24 1.00 1011.3±0.18µs 943.0 MElem/sec 1.01 1018.2±0.50µs 936.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.00/len=8 1.00 1010.3±0.22µs 944.0 MElem/sec 1.00 1008.1±0.62µs 946.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=24 1.00 1415.0±0.49µs 674.0 MElem/sec 1.00 1414.6±0.27µs 674.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=10/nulls=0.50/len=8 1.00 1414.1±0.53µs 674.4 MElem/sec 1.00 1407.4±0.50µs 677.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=24 1.00 1072.9±0.34µs 888.9 MElem/sec 1.00 1072.3±0.21µs 889.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.00/len=8 1.00 1074.0±0.66µs 888.0 MElem/sec 1.00 1072.9±0.83µs 888.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=24 1.00 1444.7±0.23µs 660.1 MElem/sec 1.00 1445.5±0.56µs 659.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=100/nulls=0.50/len=8 1.00 1443.6±1.61µs 660.6 MElem/sec 1.00 1448.8±0.52µs 658.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=24 1.00 1148.8±3.35µs 830.1 MElem/sec 1.00 1148.5±3.18µs 830.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.00/len=8 1.00 1150.1±3.63µs 829.2 MElem/sec 1.00 1145.1±3.54µs 832.8 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=24 1.01 1503.2±1.30µs 634.4 MElem/sec 1.00 1491.7±0.94µs 639.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=1000/nulls=0.50/len=8 1.00 1493.7±2.33µs 638.5 MElem/sec 1.00 1489.8±2.36µs 640.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=24 1.00 1485.0±2.59µs 642.2 MElem/sec 1.00 1478.8±3.07µs 644.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.00/len=8 1.00 1470.3±3.40µs 648.6 MElem/sec 1.00 1470.9±2.27µs 648.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=24 1.00 1686.7±2.32µs 565.4 MElem/sec 1.00 1686.2±1.83µs 565.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=8 1.00 1678.0±1.97µs 568.3 MElem/sec 1.00 1683.4±6.57µs 566.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=24 1.00 5.0±0.00ms 945.6 MElem/sec 1.00 5.0±0.00ms 947.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=8 1.00 5.0±0.00ms 946.1 MElem/sec 1.00 5.0±0.00ms 947.7 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=24 1.00 7.1±0.00ms 668.0 MElem/sec 1.00 7.1±0.00ms 668.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.50/len=8 1.00 7.1±0.00ms 668.1 MElem/sec 1.00 7.1±0.00ms 668.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=24 1.00 5.4±0.00ms 891.3 MElem/sec 1.00 5.4±0.00ms 888.4 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.00/len=8 1.00 5.4±0.00ms 889.0 MElem/sec 1.00 5.4±0.00ms 890.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=24 1.00 7.3±0.00ms 652.8 MElem/sec 1.00 7.3±0.00ms 652.5 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=100/nulls=0.50/len=8 1.00 7.3±0.00ms 651.0 MElem/sec 1.00 7.3±0.00ms 651.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=24 1.00 5.8±0.02ms 828.5 MElem/sec 1.00 5.7±0.02ms 829.6 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.00/len=8 1.00 5.7±0.02ms 830.7 MElem/sec 1.00 5.7±0.01ms 831.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=24 1.00 7.5±0.01ms 632.4 MElem/sec 1.00 7.5±0.01ms 634.2 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=1000/nulls=0.50/len=8 1.00 7.5±0.01ms 633.7 MElem/sec 1.00 7.5±0.01ms 632.9 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=24 1.01 7.6±0.02ms 630.4 MElem/sec 1.00 7.5±0.02ms 634.1 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.00/len=8 1.00 7.5±0.02ms 636.9 MElem/sec 1.00 7.5±0.02ms 634.3 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=24 1.00 8.5±0.01ms 558.6 MElem/sec 1.00 8.5±0.01ms 558.0 MElem/sec RLE_DICTIONARY_read/Utf8View/rows=5000000/card=20000/nulls=0.50/len=8 1.00 8.5±0.03ms 560.3 MElem/sec 1.01 8.6±0.01ms 556.0 MElem/sec ``` </details> <details><summary>Per-runner information</summary> <details><summary>arrow_reader_string_encoding — shard 1/1</summary> **Node:** gk3-benchmark-cluster-nap-101n84r4-9ad7f920-crw5 **Instance:** c4a-highmem-16 (12 vCPU / 65 GiB) **uname:** ```text Linux bench-c6067327303-3204-hrb9x 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 | 625.1s | | Peak memory | 172.5 MiB | | Avg memory | 48.0 MiB | | CPU user | 621.6s | | CPU sys | 0.8s | | Peak spill | 0 B | **branch** | Metric | Value | |--------|-------| | Wall time | 625.1s | | Peak memory | 216.6 MiB | | Avg memory | 48.0 MiB | | CPU user | 622.0s | | CPU sys | 0.8s | | Peak spill | 0 B | </details> </details> </details> --- [File an issue](https://github.com/adriangb/datafusion-benchmarking/issues) against this benchmark runner <!-- benchmark-request:6067327303:finish:b7856ba60eec80e80d124183e73b20cd --> -- This is an automated message from the Apache Git Service. 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