Reduce SQS body propagation parsing overhead

[amarziali]

What Does This Do

Extract propagation context from AWS SDK v1 SQS message bodies without building a JSON tree for the entire envelope.

Benchmark

Standalone JMH 1.37 on Temurin 17.0.18, Apple M4 Max, using Jackson 2.6.6:

Payload	Before	After	Allocation before → after
64 KiB message string	121 µs	37 µs	67,425 → 1,056 B/op
1,024 unrelated nested objects	96 µs	54 µs	377,312 → 1,056 B/op
Same nested objects, no propagation attributes	97 µs	54 µs	376,656 → 568 B/op

Small-envelope allocation decreased from 1,976 to 992 B/op; timing confidence intervals overlap, so no speedup is claimed for that case.

Benchmark sources and raw results are retained locally and are not included in this PR.

Motivation

Additional Notes

Contributor Checklist

• Format the title according to the contribution guidelines
• Assign the type: and (comp: or inst:) labels in addition to any other useful labels
• Avoid using close, fix, or any linking keywords when referencing an issue
  Use solves instead, and assign the PR milestone to the issue
• Update the CODEOWNERS file on source file addition, migration, or deletion
• Update public documentation with any new configuration flags or behaviors
• Once approved, use merge queue to merge the PR

Jira ticket: [PROJ-IDENT]

[chatgpt-codex-connector]

Codex Review Summary

This comment shows the latest Codex review activity on this pull request.

Review	Status	Commit	Review trigger
📝 Code Review	✅ Completed 2026-09-18T15:24:08.113257Z	1ca5b9c	PR opened
🔒 Security Review	✅ Completed 2026-09-18T15:24:09.443226Z	1ca5b9c	PR opened

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[datadog-official]

More details

The streaming parser keeps the prior extraction behavior and does not build trees for unrelated JSON fields. The static review found no concrete defect.

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[datadog-official]

🎯 Code Coverage (details)
• Patch Coverage: 100.00%
• Overall Coverage: 68.82% (+9.74%)

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[dd-octo-sts]

🟢 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

Scenario	Candidate	master	Δ (95% CI of mean)
startup:insecure-bank:iast:Agent	14.04 s	14.05 s	[-0.7%; +0.5%] (no difference)
startup:insecure-bank:tracing:Agent	12.93 s	13.01 s	[-1.3%; +0.1%] (no difference)
startup:petclinic:appsec:Agent	17.58 s	16.73 s	[+0.8%; +9.3%] (maybe worse)
startup:petclinic:iast:Agent	17.47 s	17.02 s	[-1.6%; +6.9%] (no difference)
startup:petclinic:profiling:Agent	17.32 s	17.43 s	[-1.8%; +0.5%] (no difference)
startup:petclinic:sca:Agent	17.55 s	17.45 s	[-0.4%; +1.5%] (no difference)
startup:petclinic:tracing:Agent	16.58 s	16.71 s	[-1.9%; +0.3%] (no difference)

Commit: 1ca5b9c9 · CI Pipeline · Benchmarking Platform UI

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Load and DaCapo benchmarks can be triggered manually in the GitLab pipeline. Results will appear in the Benchmarking Platform UI after completion.

[bric3]

Cool improvement !