Performance Regression or Improvement: sideinpts_python_batch_1gb_1kb_10workers_1000window_1key_percent-dict:runtime

[AnandInguva]

Performance change found in the
test: sideinpts_python_batch_1gb_1kb_10workers_1000window_1key_percent-dict for the metric: runtime.

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Test description: python | Side Input | 1 GB dictionary, 1% of keys, 1000 fixed windows Test Link -

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

Line 120 in 5e38dec

name: '1gb-1kb-10workers-1000window-1key-percent-dict',

Test Dashboard - http://35.193.202.176/d/-E9aGlFGk/side-input-load-tests?orgId=1&from=now-90d&to=now&viewPanel=8

timestamp: Fri Sep 29 01:25:07 2023, metric_value: 114.00
timestamp: Thu Sep 28 01:29:54 2023, metric_value: 319.00
timestamp: Wed Sep 27 01:33:34 2023, metric_value: 163.00
timestamp: Tue Sep 26 01:39:16 2023, metric_value: 352.00 <---- Anomaly
timestamp: Mon Sep 25 01:29:25 2023, metric_value: 119.00
timestamp: Sun Sep 24 01:35:40 2023, metric_value: 102.00
timestamp: Sat Sep 23 01:38:41 2023, metric_value: 117.00
timestamp: Fri Sep 22 01:35:06 2023, metric_value: 104.00
timestamp: Thu Sep 21 01:36:37 2023, metric_value: 230.00
timestamp: Wed Sep 20 01:29:27 2023, metric_value: 129.00
timestamp: Tue Sep 19 01:33:40 2023, metric_value: 103.00
timestamp: Mon Sep 18 01:32:19 2023, metric_value: 93.00
timestamp: Sun Sep 17 01:32:15 2023, metric_value: 106.00
timestamp: Sat Sep 16 01:39:06 2023, metric_value: 117.00

[AnandInguva]

Could be a flake or could be noise. This was alerted when I was doing local testing. I will close this issue and let the actual tool run in the github actions