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DRAFT Single probe compiled condition#11469

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DRAFT Single probe compiled condition#11469
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@jpbempel
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What Does This Do

Motivation

Additional Notes

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Jira ticket: [PROJ-IDENT]

@datadog-prod-us1-6
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datadog-prod-us1-6 Bot commented May 27, 2026

Pipelines

Fix all issues with BitsAI

⚠️ Warnings

🚦 15 Pipeline jobs failed

DataDog/apm-reliability/dd-trace-java | check_debugger   View in Datadog   GitLab

🔧 Fix in code (Fix with Cursor). Forbidden field access: java.lang.System#out in com.datadog.debugger.agent.DebuggerTransformer (DebuggerTransformer.java:600)

DataDog/apm-reliability/dd-trace-java | exploration-tests-method-jsoup   View in Datadog   GitLab

🔧 Fix in code (Fix with Cursor). Multiple assertion errors in testParseDeclarationWithoutAttributes and testCreatesValidProlog.

DataDog/apm-reliability/dd-trace-java | test_debugger: [11, 1/1]   View in Datadog   GitLab

🔧 Fix in code (Fix with Cursor). 36 failed tests due to null pointer exceptions and assertion failures in CapturedSnapshotConditionTest.

View all 15 failed jobs.

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This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 5aee89e | Docs | Datadog PR Page | Give us feedback!

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pr-commenter Bot commented May 27, 2026

Debugger benchmarks

Parameters

Baseline Candidate
baseline_or_candidate baseline candidate
ci_job_date 1779896068 1779896414
end_time 2026-05-27T15:35:53 2026-05-27T15:41:41
git_branch master jpbempel/single-probe-compiled-condition
git_commit_sha 5334065 5aee89e
start_time 2026-05-27T15:34:29 2026-05-27T15:40:15
See matching parameters
Baseline Candidate
ci_job_id 1716852808 1716852808
ci_pipeline_id 115420122 115420122
cpu_model Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz
git_commit_date 1779895482 1779895482

Summary

Found 0 performance improvements and 0 performance regressions! Performance is the same for 9 metrics, 6 unstable metrics.

See unchanged results
scenario Δ mean agg_http_req_duration_min Δ mean agg_http_req_duration_p50 Δ mean agg_http_req_duration_p75 Δ mean agg_http_req_duration_p99 Δ mean throughput
scenario:noprobe unstable
[-9.037µs; +35.912µs] or [-3.134%; +12.455%]
unstable
[-17.709µs; +48.143µs] or [-5.360%; +14.571%]
unstable
[-26.646µs; +62.191µs] or [-7.710%; +17.994%]
unstable
[-95.927µs; +109.282µs] or [-8.138%; +9.271%]
same
scenario:basic unsure
[-14.177µs; -0.850µs] or [-5.244%; -0.314%]
same same unstable
[-192.520µs; +57.219µs] or [-17.626%; +5.239%]
unstable
[-112.683op/s; +234.634op/s] or [-4.620%; +9.620%]
scenario:loop same same same same same
Request duration reports for reports
gantt
    title reports - request duration [CI 0.99] : candidate=None, baseline=None
    dateFormat X
    axisFormat %s
section baseline
noprobe (330.403 µs) : 309, 352
.   : milestone, 330,
basic (301.754 µs) : 290, 313
.   : milestone, 302,
loop (8.985 ms) : 8980, 8989
.   : milestone, 8985,
section candidate
noprobe (345.62 µs) : 307, 384
.   : milestone, 346,
basic (295.63 µs) : 289, 302
.   : milestone, 296,
loop (8.98 ms) : 8975, 8986
.   : milestone, 8980,
Loading
  • baseline results
Scenario Request median duration [CI 0.99]
noprobe 330.403 µs [308.529 µs, 352.278 µs]
basic 301.754 µs [290.104 µs, 313.404 µs]
loop 8.985 ms [8.98 ms, 8.989 ms]
  • candidate results
Scenario Request median duration [CI 0.99]
noprobe 345.62 µs [307.145 µs, 384.095 µs]
basic 295.63 µs [288.775 µs, 302.484 µs]
loop 8.98 ms [8.975 ms, 8.986 ms]

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dd-octo-sts Bot commented May 27, 2026

🟢 Java Benchmark SLOs — All performance SLOs passed

Suite Status
Startup 🟢 pass

SLO thresholds are defined here based on automatically generated metrics. A warning is raised when results are within 5% of the threshold.

PR vs. master results

Startup Time

Scenario This PR master Change
insecure-bank / iast 14,060 ms 13,870 ms +1.4%
insecure-bank / tracing 12,910 ms 13,001 ms -0.7%
petclinic / appsec 17,155 ms 17,051 ms +0.6%
petclinic / iast 16,968 ms 17,126 ms -0.9%
petclinic / profiling 17,295 ms 17,110 ms +1.1%
petclinic / tracing 16,298 ms 16,209 ms +0.5%

Commit: 5aee89e5 · CI Pipeline · Benchmarking Platform UI


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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