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Fix flaky apiserver unit test #28715
Fix flaky apiserver unit test #28715
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Regression DetectorRegression Detector ResultsRun ID: 81340902-f9bd-4233-aaff-fe1a68a12229 Metrics dashboard Target profiles Baseline: 71768e8 Performance changes are noted in the perf column of each table:
No significant changes in experiment optimization goalsConfidence level: 90.00% There were no significant changes in experiment optimization goals at this confidence level and effect size tolerance.
|
perf | experiment | goal | Δ mean % | Δ mean % CI | links |
---|---|---|---|---|---|
➖ | tcp_syslog_to_blackhole | ingress throughput | +4.65 | [-8.70, +18.00] | Logs |
➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | +0.86 | [+0.07, +1.66] | Logs |
➖ | idle | memory utilization | +0.28 | [+0.25, +0.31] | Logs |
➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.01, +0.01] | Logs |
➖ | uds_dogstatsd_to_api | ingress throughput | +0.00 | [-0.00, +0.00] | Logs |
➖ | otel_to_otel_logs | ingress throughput | -0.30 | [-1.11, +0.50] | Logs |
➖ | file_tree | memory utilization | -0.41 | [-0.48, -0.34] | Logs |
➖ | basic_py_check | % cpu utilization | -1.22 | [-3.85, +1.42] | Logs |
➖ | pycheck_lots_of_tags | % cpu utilization | -2.69 | [-5.05, -0.33] | Logs |
Bounds Checks
perf | experiment | bounds_check_name | replicates_passed |
---|---|---|---|
✅ | idle | memory_usage | 10/10 |
Explanation
A regression test is an A/B test of target performance in a repeatable rig, where "performance" is measured as "comparison variant minus baseline variant" for an optimization goal (e.g., ingress throughput). Due to intrinsic variability in measuring that goal, we can only estimate its mean value for each experiment; we report uncertainty in that value as a 90.00% confidence interval denoted "Δ mean % CI".
For each experiment, we decide whether a change in performance is a "regression" -- a change worth investigating further -- if all of the following criteria are true:
-
Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.
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Its 90.00% confidence interval "Δ mean % CI" does not contain zero, indicating that if our statistical model is accurate, there is at least a 90.00% chance there is a difference in performance between baseline and comparison variants.
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Its configuration does not mark it "erratic".
/merge |
🚂 MergeQueue: waiting for PR to be ready This merge request is not mergeable yet, because of pending checks/missing approvals. It will be added to the queue as soon as checks pass and/or get approvals. Use |
🚂 MergeQueue: pull request added to the queue The median merge time in Use |
What does this PR do?
Fix flaky
TestUnbundledEventsTransform/unbundled_events_by_Kind:ReplicaSet_and_Reason:Killing,SuccessfulDelete
testMotivation
A change introduced by this PR also modified the test cases to validate that the bug was fixed. In doing so, another expected event was added to the expected event list, which contained a title that was already present in the list:
Events from the Pod default/squirtle-8fff95dbb-tsc7v
.The test code sorts the output by event title, but
sort.Slice
does not guarantee that order will be preserved in the case of a collision, which is what is happening here. The end result is the test sometimes succeeds, when the ordering matches what is defined in the list, and sometimes fails, when the ordering is incorrect.This PR changes the call from
sort.Slice
tosort.SliceStable
, which should preserve the ordering in the event of a collisionAdditional Notes
Possible Drawbacks / Trade-offs
Describe how to test/QA your changes