adriangbot commented on PR #12127: URL: https://github.com/apache/arrow-rs/pull/12127#issuecomment-6726363365
🤖 Benchmark completed (GKE) | [trigger](https://github.com/apache/arrow-rs/pull/12127#issuecomment-6726316236) **Target:** comparison_kernels Comparing 49e4234e7b0abeb5752ff5977a02f09da86a63ca (49e4234e7b0abeb5752ff5977a02f09da86a63ca) to 62a3c43ff2c0a5e1d1ab7f9612823462e1374b1c [diff](https://github.com/apache/arrow-rs/compare/62a3c43ff2c0a5e1d1ab7f9612823462e1374b1c..49e4234e7b0abeb5752ff5977a02f09da86a63ca) <details><summary>Run configuration</summary> ```yaml run benchmark comparison_kernels baseline: ref: 62a3c43ff2c0a5e1d1ab7f9612823462e1374b1c changed: ref: 49e4234e7b0abeb5752ff5977a02f09da86a63ca env: BENCH_FILTER: dictionary shards: 1 ``` </details> <details><summary>Details</summary> ``` group base changed ----- ---- ------- eq dictionary[10] string[4]) 1.01 1347.6±2.45µs ? ?/sec 1.00 1337.4±1.88µs ? ?/sec eq_dyn_utf8_scalar dictionary[10] string[4]) 1.66 31.9±0.04µs ? ?/sec 1.00 19.2±0.01µs ? ?/sec gt_eq_dyn_utf8_scalar scalar dictionary[10] string[4]) 1.66 31.9±0.03µs ? ?/sec 1.00 19.2±0.01µs ? ?/sec ilike_utf8_scalar_dyn dictionary[10] string[4]) 1.65 32.3±0.03µs ? ?/sec 1.00 19.6±0.01µs ? ?/sec like_utf8_scalar_dyn dictionary[10] string[4]) 1.65 32.0±0.06µs ? ?/sec 1.00 19.4±0.01µs ? ?/sec ``` </details> <details><summary>Per-runner information</summary> <details><summary>comparison_kernels — shard 1/1</summary> **Node:** gk3-benchmark-cluster-nap-19q1o5j9-18dea4ff-6tmj **Instance:** c4a-highmem-16 (12 vCPU / 65 GiB) **uname:** ```text Linux bench-c6726316236-4637-sbd8b 6.12.105+ #1 SMP Sat Sep 19 07:55:25 UTC 2026 aarch64 GNU/Linux ``` **BENCH_COMMAND:** ```sh cargo bench --features=arrow,async,test_common,experimental,object_store --bench comparison_kernels ``` <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 | 60.0s | | Peak memory | 1.9 GiB | | Avg memory | 1.6 GiB | | CPU user | 56.2s | | CPU sys | 0.6s | | Peak spill | 0 B | **branch** | Metric | Value | |--------|-------| | Wall time | 65.0s | | Peak memory | 2.1 GiB | | Avg memory | 1.5 GiB | | CPU user | 58.6s | | CPU sys | 0.5s | | Peak spill | 0 B | </details> </details> </details> --- [File an issue](https://github.com/adriangb/datafusion-benchmarking/issues) against this benchmark runner <!-- benchmark-request:6726316236:finish:ba963056aa48721d8a2f3faa49a14fca --> -- 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]
