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fix(ddtrace/tracer): settle writer payload before checking it in downgrade race test - #5252

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fix(ddtrace/tracer): settle writer payload before checking it in downgrade race test#5252
darccio wants to merge 3 commits into
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dario.castane/release-v2-10-error-diff-87ff28

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@darccio

@darccio darccio commented Aug 24, 2026

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Summary

  • TestConcurrentAddNeverResurrectsDowngradedPayload checked w.payload.protocol() right after the downgrade was confirmed applied, but nothing forces an add()/flush() call to happen after the downgrade lands — only those calls re-check the protocol
  • If all the test's concurrent add() calls (in-memory, fast) finished before refreshAgentFeatures's /info HTTP round-trip completed, h.payload legitimately still held the last-observed protocol, and the assertion flaked (seen in CI: expected 0.4, got 1) — not a production bug, just a test racing its own setup
  • Fix: force one more add() once the downgrade is confirmed applied, so the assertion observes the writer's real settling behavior instead of racing the poll's network I/O

Investigated from a release-v2.10.x CI failure: https://github.com/DataDog/dd-trace-go/actions/runs/32144929774/job/95736348552

Test plan

  • Reproduced the flake deterministically pre-fix by shrinking the test's goroutine/iteration counts so the add-loop reliably finishes before the downgrade's HTTP round-trip (30/30 failures)
  • Same reduced-scale repro passes 50/50 after the fix
  • go test -race -run TestConcurrentAddNeverResurrectsDowngradedPayload -count=10 ./ddtrace/tracer passes at full scale
  • go vet ./ddtrace/tracer clean

…grade race test

Nothing re-checks h.payload's protocol except add()/flush() themselves. If
all of TestConcurrentAddNeverResurrectsDowngradedPayload's concurrent add()
calls finished before refreshAgentFeatures's HTTP round-trip landed,
h.payload legitimately still held whatever protocol was last observed --
not a production bug, just nothing having asked it to settle yet. That
timing dependency flaked in CI (expected 0.4, got 1).

Force one more add() once the downgrade is confirmed applied, so the
assertion observes the writer's real settling behavior instead of racing
the poll's network I/O. Confirmed by reproducing the failure
deterministically with a reduced iteration count (30/30 failing before this
fix, 50/50 passing after).
@darccio darccio added the AI Generated Largely based on code generated by an AI or LLM. This label is the same across all dd-trace-* repos label Aug 24, 2026
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Config Audit

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Tests

🎉 All green!

🧪 All tests passed
❄️ No new flaky tests detected

🎯 Code Coverage (details)
Patch Coverage: 100.00%
Overall Coverage: 64.99% (+12.72%)

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: ea1eb3c | Docs | View more details | Give us feedback!

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💡 Codex Review

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Reviewed commit: ffc1bc1735

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Comment thread ddtrace/tracer/trace_protocol_runtime_test.go Outdated
… the downgrade race test

The corrective add() fired right before inspecting w.payload.protocol()
ran serially, so it would settle any resurrected v1 payload itself
before the assertion looked -- the test could not fail even with the
fixed race reintroduced. Replace it with an ordinary flush(), which
sends h.payload under its own recorded protocol without repairing it,
and assert at most one /v1.0/traces request lands across the storm and
that flush.
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Benchmarks

Benchmark execution time: 2026-08-24 16:48:28

Comparing candidate commit ea1eb3c in PR branch dario.castane/release-v2-10-error-diff-87ff28 with baseline commit 19d0e26 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 335 metrics, 0 unstable metrics, 1 flaky benchmarks without significant changes.

Explanation

This is an A/B test comparing a candidate commit's performance against that of a baseline commit. Performance changes are noted in the tables below as:

  • 🟩 = significantly better candidate vs. baseline
  • 🟥 = significantly worse candidate vs. baseline

We compute a confidence interval (CI) over the relative difference of means between metrics from the candidate and baseline commits, considering the baseline as the reference.

If the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD), the change is considered significant.

Feel free to reach out to #apm-benchmarking-platform on Slack if you have any questions.

More details about the CI and significant changes

You can imagine this CI as a range of values that is likely to contain the true difference of means between the candidate and baseline commits.

CIs of the difference of means are often centered around 0%, because often changes are not that big:

---------------------------------(------|---^--------)-------------------------------->
                              -0.6%    0%  0.3%     +1.2%
                                 |          |        |
         lower bound of the CI --'          |        |
sample mean (center of the CI) -------------'        |
         upper bound of the CI ----------------------'

As described above, a change is considered significant if the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD).

For instance, for an execution time metric, this confidence interval indicates a significantly worse performance:

----------------------------------------|---------|---(---------^---------)---------->
                                       0%        1%  1.3%      2.2%      3.1%
                                                  |   |         |         |
       significant impact threshold --------------'   |         |         |
                      lower bound of CI --------------'         |         |
       sample mean (center of the CI) --------------------------'         |
                      upper bound of CI ----------------------------------'

Known flaky benchmarks

These benchmarks are marked as flaky and will not trigger a failure. Modify FLAKY_BENCHMARKS_REGEX to control which benchmarks are marked as flaky.

Known flaky benchmarks without significant changes:

  • scenario:BenchmarkOTLPTraceWriterFlush

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💡 Codex Review

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Reviewed commit: a1005f9e7a

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v1Requests++
}
}
assert.LessOrEqual(t, v1Requests, 1, "at most one /v1.0/traces request may occur across the storm and its flush -- more indicates a payload resurrected after the downgrade settled")

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P2 Badge Reject a lone resurrected v1 request

When the downgrade wins before any add has populated the initial v1 payload, the regressed interleaving can still pass this assertion: a v0.4 reader rotates the empty v1 payload without sending it, then a delayed stale v1 reader seals the populated v0.4 payload and resurrects v1. The final flush records that bad payload as the only v1 request, so v1Requests <= 1 succeeds and also replaces the current payload with v0.4 before the post-reset check. Seed a known pre-downgrade payload or otherwise distinguish legitimate pre-downgrade sends so a lone resurrected v1 request is rejected.

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Good catch — you're right that <=1 was too loose. Fixed in ea1eb3c.

Seeded a real trace into the payload before the storm/downgrade race starts, so it's never empty when the downgrade lands. That closes off the free empty-payload rotation path (no send), which previously could consume the one legitimate v1->v0.4 transition silently — leaving a lone resurrected v1 request looking like the expected one. With the seed, whichever add()/flush() first observes the downgrade must go through a real seal-and-send, so exactly one v1 request is now guaranteed in the correct-code case, and the assertion is tightened from <= 1 to == 1.

Re-verified detection power the same way as before: reintroduced the pre-fix stale-read bug in writer.go — failed 10/10 under -race; reverted — passed 10/10.

…e transition send can't be skipped

If the downgrade won the race before any storm add() populated the
initial (empty) v1 payload, rotateStalePayload's free-for-empty path
would consume that transition with no /v1.0/traces request at all --
so a single resurrected v1 request later would satisfy the
"at most one" check while being exactly the regression it should catch.
Seed a real trace into the payload before the race starts so it is
never empty when the downgrade lands, guaranteeing the transition
always goes through a real seal-and-send, and tighten the assertion to
exactly one v1 request.
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Codex Review: Didn't find any major issues. Another round soon, please!

Reviewed commit: ea1eb3c18a

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@darccio
darccio marked this pull request as ready for review August 24, 2026 16:28
@darccio
darccio requested a review from a team as a code owner August 24, 2026 16:28
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