adriangbot commented on PR #11524:
URL: https://github.com/apache/arrow-rs/pull/11524#issuecomment-6124931056

   🤖 Benchmark failed or incomplete (GKE) | 
[trigger](https://github.com/apache/arrow-rs/pull/11524#issuecomment-6124414289)
   
   **Target:** arrow_writer
   
   Comparing improve-parquet-dictionary-computation 
(8bc6fe48ae2c95827cae862af8456f40464eda20) to 0706d31 (merge-base) 
[diff](https://github.com/apache/arrow-rs/compare/0706d317a94098cec4b631031efcdf16f51ed1f5..8bc6fe48ae2c95827cae862af8456f40464eda20)
   
   <details><summary>Run configuration</summary>
   
   ```yaml
   run benchmark arrow_writer
   env:
     BENCH_FILTER: dictionary
   shards: 1
   
   ```
   
   </details>
   
   <details open><summary>Errors / missing shards</summary>
   
   ````text
   arrow_writer — shard 1/1: Benchmark for [this 
request](https://github.com/apache/arrow-rs/pull/11524#issuecomment-6124414289) 
failed before finishing (Kubernetes reason: `BackoffLimitExceeded`).
   
   Benchmarks requested: `arrow_writer`
   
   <details><summary>Runner log (last 40 lines)</summary>
   
   ```
   Benchmarking bool_dictionary/default: Warming up for 3.0000 s
   Benchmarking bool_dictionary/default: Collecting 100 samples in estimated 
5.5589 s (600 iterations)
   Benchmarking bool_dictionary/default: Analyzing
   Benchmarking bool_dictionary/bloom_filter
   Benchmarking bool_dictionary/bloom_filter: Warming up for 3.0000 s
   Benchmarking bool_dictionary/bloom_filter: Collecting 100 samples in 
estimated 5.8133 s (500 iterations)
   Benchmarking bool_dictionary/bloom_filter: Analyzing
   Benchmarking bool_dictionary/parquet_2
   Benchmarking bool_dictionary/parquet_2: Warming up for 3.0000 s
   Benchmarking bool_dictionary/parquet_2: Collecting 100 samples in estimated 
5.0174 s (500 iterations)
   Benchmarking bool_dictionary/parquet_2: Analyzing
   Benchmarking bool_dictionary/zstd
   Benchmarking bool_dictionary/zstd: Warming up for 3.0000 s
   Benchmarking bool_dictionary/zstd: Collecting 100 samples in estimated 
5.5920 s (600 iterations)
   Benchmarking bool_dictionary/zstd: Analyzing
   Benchmarking bool_dictionary/zstd_parquet_2
   Benchmarking bool_dictionary/zstd_parquet_2: Warming up for 3.0000 s
   Benchmarking bool_dictionary/zstd_parquet_2: Collecting 100 samples in 
estimated 5.0433 s (500 iterations)
   Benchmarking bool_dictionary/zstd_parquet_2: Analyzing
   Benchmarking bool_dictionary/cdc
   Benchmarking bool_dictionary/cdc: Warming up for 3.0000 s
   Benchmarking bool_dictionary/cdc: Collecting 100 samples in estimated 6.0602 
s (500 iterations)
   Benchmarking bool_dictionary/cdc: Analyzing
   Benchmarking bool_dictionary/number_distinct_values
   Benchmarking bool_dictionary/number_distinct_values: Warming up for 3.0000 s
   Benchmarking bool_dictionary/number_distinct_values: Collecting 100 samples 
in estimated 6.9033 s (300 iterations)
   Benchmarking bool_dictionary/number_distinct_values: Analyzing
   Benchmarking string_dictionary/default
   Benchmarking string_dictionary/default: Warming up for 3.0000 s
   
   Warning: Unable to complete 100 samples in 5.0s. You may wish to increase 
target time to 8.4s, or reduce sample count to 50.
   Benchmarking string_dictionary/default: Collecting 100 samples in estimated 
8.4119 s (100 iterations)
   Benchmarking string_dictionary/default: Analyzing
   Benchmarking string_dictionary/bloom_filter
   Benchmarking string_dictionary/bloom_filter: Warming up for 3.0000 s
   error: bench failed, to rerun pass `-p parquet --bench arrow_writer`
   
   Caused by:
     process didn't exit successfully: 
`/workspace/arrow-rs-branch/target/release/deps/arrow_writer-28d4cdf5440587fb 
--save-baseline changed dictionary --bench` (signal: 11, SIGSEGV: invalid 
memory reference)
   ```
   
   </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&#95;writer — shard 1/1</summary>
   
   **Node:** gk3-benchmark-cluster-nap-1bmn2koy-53ccafea-kgjq
   
   **Instance:** c4a-highmem-16 (12 vCPU / 65 GiB)
   
   **uname:**
   
   ```text
   Linux bench-c6124414289-3336-6phwl 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_writer
   ```
   
   <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 | 1135.2s |
   | Peak memory | 489.1 MiB |
   | Avg memory | 108.3 MiB |
   | CPU user | 1071.8s |
   | CPU sys | 60.3s |
   | Peak spill | 0 B |
   
   
   </details>
   
   </details>
   
   </details>
   
   ---
   [File an issue](https://github.com/adriangb/datafusion-benchmarking/issues) 
against this benchmark runner
   
   <!-- benchmark-request:6124414289:finish:8b30ad7191901e2610b4f81832880526 -->


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