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🟢 Java Benchmark SLOs — All performance SLOs passed
PR vs. master results
Commit: Load and DaCapo benchmarks can be triggered manually in the GitLab pipeline. Results will appear in the Benchmarking Platform UI after completion. |
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Kafka / consumer-benchmarkParameters
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SummaryFound 0 performance improvements and 1 performance regressions! Performance is the same for 2 metrics, 0 unstable metrics.
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Kafka / producer-benchmarkParameters
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SummaryFound 0 performance improvements and 0 performance regressions! Performance is the same for 3 metrics, 0 unstable metrics. See unchanged results
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What Does This Do
Adds default-on scope and continuation lifecycle diagnostics to instrumentation tests.
The diagnostic records continuation and scope events during each test, waits briefly for asynchronous cleanup, and fails with an actionable timeline when it detects problems such as:
The timeline includes elapsed time, thread transitions, ownership state, and relevant call sites so the missing lifecycle edge can be identified without reconstructing it from a trace timeout.
flowchart LR A[Capture continuation] --> B[Resume context] B --> C[Run asynchronous work] C --> D[Close scope] D --> E[Release continuation] E --> F[Write complete trace] C -. missing cleanup .-> G[Test ends] G --> H[Diagnostic failure] H --> I[Timeline with thread and callsite] style E fill:#d5f5e3,stroke:#239b56 style H fill:#fadbd8,stroke:#c0392bHow is it enabled?
The diagnostic runs automatically for both instrumentation-test harnesses:
A narrow opt-out is available only for tests that are incompatible with the diagnostic itself:
@TrackScopeContinuations(
enabled = false,
reason = "Explain the incompatibility and removal condition")
The reason is mandatory. The opt-out is not intended for unresolved continuation leaks.
Additional behavior
Motivation
Strict trace writing can reveal that asynchronous work is still pending, but it does not explain where ownership was lost.
This diagnostic connects capture, activation, scope closure, and continuation resolution into one timeline, making continuation failures reproducible and actionable for both humans and automated integration work.
Fixed issues leveraging that:
Additional Notes
Contributor Checklist
type:and (comp:orinst:) labels in addition to any other useful labelsclose,fix, or any linking keywords when referencing an issueUse
solvesinstead, and assign the PR milestone to the issueJira ticket: [PROJ-IDENT]