Performance Regression or Improvement: gbk_python_batch_load_test_2gb_of_100KB_records:runtime

[github-actions]

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.

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 -

beam/.test-infra/jenkins/job_LoadTests_GBK_Python.groovy

Line 83 in 5e38dec

test : 'apache_beam.testing.load_tests.group_by_key_test',

timestamp: Fri Nov 22 16:55:03 2024, metric_value: 20.00
timestamp: Thu Nov 21 16:50:12 2024, metric_value: 19.00
timestamp: Wed Nov 20 16:52:50 2024, metric_value: 17.00
timestamp: Tue Nov 19 16:54:16 2024, metric_value: 17.00
timestamp: Mon Nov 18 16:54:26 2024, metric_value: 15.00
timestamp: Sun Nov 17 16:51:03 2024, metric_value: 18.00
timestamp: Sat Nov 16 16:50:02 2024, metric_value: 13.00
timestamp: Fri Nov 15 16:48:27 2024, metric_value: 18.00
timestamp: Wed Nov 13 16:47:25 2024, metric_value: 16.00
timestamp: Tue Nov 12 16:57:18 2024, metric_value: 13.00
timestamp: Mon Nov 11 16:53:59 2024, metric_value: 17.00 <---- Anomaly
timestamp: Sun Nov 10 16:50:04 2024, metric_value: 9.00
timestamp: Sat Nov  9 16:48:35 2024, metric_value: 13.00
timestamp: Fri Nov  8 16:59:00 2024, metric_value: 11.00
timestamp: Thu Nov  7 16:51:22 2024, metric_value: 17.00
timestamp: Wed Nov  6 17:01:55 2024, metric_value: 21.00
timestamp: Tue Nov  5 16:52:13 2024, metric_value: 10.00
timestamp: Mon Nov  4 16:53:31 2024, metric_value: 10.00
timestamp: Sun Nov  3 16:51:00 2024, metric_value: 11.00
timestamp: Sat Nov  2 16:49:55 2024, metric_value: 12.00
timestamp: Fri Nov  1 16:51:51 2024, metric_value: 11.00