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Posted to github@beam.apache.org by "github-actions[bot] (via GitHub)" <gi...@apache.org> on 2026/10/16 22:24:42 UTC
[I] Performance Regression or Improvement: gbk_python_batch_load_test_2gb_of_100KB_records:runtime [beam]
github-actions[bot] opened a new issue, #40643:
URL: https://github.com/apache/beam/issues/40643
Performance change found in the
test: `gbk_python_batch_load_test_2gb_of_100KB_records` for the metric: `runtime`.
For more information on how to triage the alerts, please look at
`Triage performance alert issues` section of the [README](https://github.com/apache/beam/tree/master/sdks/python/apache_beam/testing/analyzers/README.md#triage-performance-alert-issues).
`Test description:` GroupByKey Python Load test - 2GB of 100kB records
python | GBK | Large records (100kB)
Test Dashboard - http://metrics.beam.apache.org/d/UYZ-oJ3Zk/gbk-load-tests?orgId=1&var-processingType=batch&var-sdk=python&from=now-6M&to=now&viewPanel=4&inspect=4
Test link - https://github.com/apache/beam/blob/5e38decf9e723a385057131b01bbd33d8c60bda3/.test-infra/jenkins/job_LoadTests_GBK_Python.groovy#L83
```
timestamp: Fri Oct 16 16:51:21 2026, metric_value: 70.00
timestamp: Thu Oct 15 16:51:43 2026, metric_value: 84.00
timestamp: Wed Oct 14 16:49:57 2026, metric_value: 71.00 <---- Anomaly
timestamp: Tue Oct 13 17:11:03 2026, metric_value: 13.00
timestamp: Mon Oct 12 17:28:41 2026, metric_value: 38.00
timestamp: Sun Oct 11 17:22:48 2026, metric_value: 11.00
timestamp: Sat Oct 10 17:17:39 2026, metric_value: 14.00
timestamp: Fri Oct 9 17:24:03 2026, metric_value: 18.00
timestamp: Thu Oct 8 17:04:34 2026, metric_value: 80.00
timestamp: Wed Oct 7 17:01:44 2026, metric_value: 18.00
timestamp: Tue Oct 6 16:57:54 2026, metric_value: 107.00
timestamp: Mon Oct 5 17:06:36 2026, metric_value: 17.00
timestamp: Sun Oct 4 18:14:01 2026, metric_value: 47.00
```
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Re: [I] Performance Regression or Improvement: gbk_python_batch_load_test_2gb_of_100KB_records:runtime [beam]
Posted by "alisha-1000 (via GitHub)" <gi...@apache.org>.
alisha-1000 commented on issue #40643:
URL: https://github.com/apache/beam/issues/40643#issuecomment-6373526677
Hello,
I’m interested in investigating this performance alert to determine whether the observed runtime variation reflects a genuine regression or normal variability in the Python GroupByKey batch load test.
My initial investigation will focus on:
1. Examining the historical Grafana metrics to establish the baseline runtime and determine whether the recent spikes represent a sustained change.
2. Reviewing the load-test configuration and execution environment for factors that could affect runtime consistency.
3. Correlating the observed change point with relevant code and dependency changes to identify a potential cause.
4. Where feasible, validating the findings against additional runs or related performance tests before recommending corrective action.
I’ll prioritize identifying a reproducible cause before proposing any implementation changes.
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