adriangbot commented on PR #11463: URL: https://github.com/apache/arrow-rs/pull/11463#issuecomment-6081917948
🤖 Benchmark failed or incomplete (GKE) | [trigger](https://github.com/apache/arrow-rs/pull/11463#issuecomment-6081722808) **Target:** arrow_reader_string_encoding Comparing rich-T-kid/parquet-dict-lowcard-reader-2 (b4b33a32ad4a8da880e5d1828d0d1c3e35b65a41) to c7f60c6 (merge-base) [diff](https://github.com/apache/arrow-rs/compare/c7f60c612bd16ca5485cc9acddfd216c10ea9765..b4b33a32ad4a8da880e5d1828d0d1c3e35b65a41) <details><summary>Run configuration</summary> ```yaml run benchmark arrow_reader_string_encoding shards: 1 ``` </details> <details open><summary>Errors / missing shards</summary> ````text arrow_reader_string_encoding — shard 1/1: Benchmark for [this request](https://github.com/apache/arrow-rs/pull/11463#issuecomment-6081722808) failed before finishing (Kubernetes reason: `BackoffLimitExceeded`). Benchmarks requested: `arrow_reader_string_encoding` <details><summary>Runner log (last 40 lines)</summary> ``` [stderr] Benchmarking RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=24: Warming up for 3.0000 s [stderr] Benchmarking RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=24: Collecting 10 samples in estimated 5.0836 s (2970 iterations) [stderr] Benchmarking RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=24: Analyzing [stdout] RLE_DICTIONARY_read/Utf8View/rows=1000000/card=20000/nulls=0.50/len=24 [stdout] time: [1.7147 ms 1.7162 ms 1.7193 ms] [stdout] thrpt: [581.64 Melem/s 582.70 Melem/s 583.20 Melem/s] [stderr] Benchmarking RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=8 [stderr] Benchmarking RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=8: Warming up for 3.0000 s [stderr] Benchmarking RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=8: Collecting 10 samples in estimated 5.2426 s (935 iterations) [stderr] Benchmarking RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=8: Analyzing [stdout] RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=8 [stdout] time: [5.6042 ms 5.6084 ms 5.6114 ms] [stdout] thrpt: [891.04 Melem/s 891.53 Melem/s 892.19 Melem/s] [stderr] Benchmarking RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=8 [stderr] Benchmarking RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=8: Warming up for 3.0000 s [stderr] Benchmarking RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=8: Collecting 10 samples in estimated 5.0454 s (990 iterations) [stderr] Benchmarking RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=8: Analyzing [stdout] RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=8 [stdout] time: [5.0695 ms 5.0801 ms 5.0909 ms] [stdout] thrpt: [982.15 Melem/s 984.23 Melem/s 986.30 Melem/s] [stdout] Found 3 outliers among 10 measurements (30.00%) [stdout] 1 (10.00%) low severe [stdout] 1 (10.00%) low mild [stdout] 1 (10.00%) high severe [stderr] Benchmarking RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=24 [stderr] Benchmarking RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=24: Warming up for 3.0000 s [stderr] Benchmarking RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=24: Collecting 10 samples in estimated 5.2119 s (935 iterations) [stderr] Benchmarking RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=24: Analyzing [stdout] RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.00/len=24 [stdout] time: [5.5081 ms 5.5131 ms 5.5170 ms] [stdout] thrpt: [906.28 Melem/s 906.93 Melem/s 907.76 Melem/s] [stderr] Benchmarking RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=24 [stderr] Benchmarking RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=24: Warming up for 3.0000 s [stderr] Benchmarking RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=24: Collecting 10 samples in estimated 5.2593 s (1045 iterations) [stderr] Benchmarking RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=24: Analyzing [stdout] RLE_DICTIONARY_read/Utf8View/rows=5000000/card=10/nulls=0.00/len=24 [stdout] time: [5.0295 ms 5.0303 ms 5.0314 ms] [stdout] thrpt: [993.76 Melem/s 993.97 Melem/s 994.13 Melem/s] [stderr] Benchmarking RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=8 [stderr] Benchmarking RLE_DICTIONARY_read/Dictionary(Int32,Utf8)/rows=5000000/card=10/nulls=0.50/len=8: Warming up for 3.0000 s ``` </details> <details><summary>Kubernetes message</summary> ``` Job has reached the specified backoff limit ``` </details> --- [File an issue](https://github.com/adriangb/datafusion-benchmarking/issues) against this benchmark runner ```` </details> <details><summary>Per-runner information</summary> <details><summary>arrow_reader_string_encoding — shard 1/1</summary> **Node:** gk3-benchmark-cluster-nap-sdr8n1w3-7e9fde16-9fg2 **Instance:** c4a-highmem-16 (12 vCPU / 65 GiB) **uname:** ```text Linux bench-c6081722808-3234-ljj6j 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> No completed measurement resource samples. </details> </details> </details> --- [File an issue](https://github.com/adriangb/datafusion-benchmarking/issues) against this benchmark runner <!-- benchmark-request:6081722808:finish:ed21719f2937b1e66e61babe4e189bbf --> -- This is an automated message from the Apache Git Service. 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