You are viewing a plain text version of this content. The canonical link for it is here.
Posted to github@arrow.apache.org by "adriangbot (via GitHub)" <gi...@apache.org> on 2026/10/12 13:09:38 UTC
Re: [PR] perf(parquet): optimize dictionary computation for byte arrays [arrow-rs]
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_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 -->
--
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: github-unsubscribe@arrow.apache.org
For queries about this service, please contact Infrastructure at:
users@infra.apache.org