Rollback unboxing from 1f7e90ca

[bwoebi]

This became quite unergonomic with the downcast, but looks like there was a reason for the boxing.

Otherwise ShmLimiter references weird addresses.

[morrisonlevi]

Looks good to me as long as tests pass, pretty mechanical.

[chatgpt-codex-connector]

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Reviewed commit: 31de2faf28

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[chatgpt-codex-connector]

Preserve boxed limiter storage on config updates

When a LiveDebugger config path is updated in place, the Occupied branch below installs the new probe after e.insert(val) has replaced and dropped the previous Box. Installed log probes keep the limiter pointer passed from Rust in dd_set_log_probe (tracer/live_debugger.c:753-756) and dereference it on each evaluation, so a normal Add/update for the same config_id can leave the existing hook pointing at freed boxed storage until it is removed. Please update the existing box in place or remove the old hook before swapping the allocation.

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[datadog-official]

 

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⚠️ Warnings

🚦 5 Pipeline jobs failed

DataDog/apm-reliability/dd-trace-php | ASAN test_c: [8.4, amd64]     

DataDog/apm-reliability/dd-trace-php | test_extension_ci: [7.3]     

DataDog/apm-reliability/dd-trace-php | test_extension_ci: [8.3]     

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ℹ️ Info

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🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 100.00%
• Overall Coverage: 54.11% (-0.05%)

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[pr-commenter]

Benchmarks [ tracer ]

Benchmark execution time: 2026-06-05 22:21:55

Comparing candidate commit 31de2fa in PR branch bob/fix-shmlim with baseline commit c7f3f05 in branch master.

Found 3 performance improvements and 1 performance regressions! Performance is the same for 189 metrics, 1 unstable metrics.

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 ----------------------------------'

scenario:ComposerTelemetryBench/benchTelemetryParsing

• 🟩 execution_time [-2.199µs; -1.001µs] or [-12.215%; -5.562%]

scenario:ContextPropagationBench/benchExtractTraceContext128Bit-opcache

• 🟥 execution_time [+38.891ns; +119.109ns] or [+2.149%; +6.581%]

scenario:MessagePackSerializationBench/benchMessagePackSerialization

• 🟩 execution_time [-6.067µs; -3.793µs] or [-5.502%; -3.440%]

scenario:MessagePackSerializationBench/benchMessagePackSerialization-opcache

• 🟩 execution_time [-4.828µs; -2.952µs] or [-4.313%; -2.637%]