chore(telemetry): add session id support

[mabdinur]

What does this PR do?

Adds optional dd-session-id, dd-root-session-id, and dd-parent-session-id on telemetry HTTP requests. Session IDs stay on headers only; the JSON body is unchanged aside from existing runtime_id. Builders and FFI wire these fields through from callers.

Motivation

Align telemetry with instrumentation session correlation used elsewhere (e.g. traces) without putting session IDs in the telemetry payload.

Additional Notes

Redundant session headers are omitted when they duplicate the session id. Metrics/logs telemetry remains the main path; full lifecycle session semantics are not the focus there.

How to test the change?

Run the telemetry and pipeline unit/integration tests that build telemetry HTTP requests and mock the agent; run FFI tests if those layers were updated.

[github-actions]

📚 Documentation Check Results

⚠️ 1354 documentation warning(s) found

📦 libdd-data-pipeline - 871 warning(s)

📦 libdd-telemetry - 483 warning(s)

---

Updated: 2026-03-28 00:07:58 UTC | Commit: f7019da | missing-docs job results

[github-actions]

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

• Base Branch: origin/main
• PR Branch: origin/munir/add-session-id-support-telemetry

Summary by Rule

Rule	Base Branch	PR Branch	Change
expect_used	3	3	No change (0%)
unwrap_used	16	16	No change (0%)
Total	19	19	No change (0%)

Annotation Counts by File

File	Base Branch	PR Branch	Change
libdd-data-pipeline/src/telemetry/mod.rs	1	1	No change (0%)
libdd-data-pipeline/src/trace_exporter/mod.rs	2	2	No change (0%)
libdd-telemetry/src/worker/http_client.rs	3	3	No change (0%)
libdd-telemetry/src/worker/mod.rs	13	13	No change (0%)

Annotation Stats by Crate

Crate	Base Branch	PR Branch	Change
clippy-annotation-reporter	5	5	No change (0%)
datadog-ffe-ffi	1	1	No change (0%)
datadog-ipc	20	20	No change (0%)
datadog-live-debugger	6	6	No change (0%)
datadog-live-debugger-ffi	10	10	No change (0%)
datadog-profiling-replayer	4	4	No change (0%)
datadog-remote-config	3	3	No change (0%)
datadog-sidecar	55	55	No change (0%)
libdd-common	10	10	No change (0%)
libdd-common-ffi	12	12	No change (0%)
libdd-data-pipeline	5	5	No change (0%)
libdd-ddsketch	2	2	No change (0%)
libdd-dogstatsd-client	1	1	No change (0%)
libdd-profiling	13	13	No change (0%)
libdd-telemetry	19	19	No change (0%)
libdd-tinybytes	4	4	No change (0%)
libdd-trace-normalization	2	2	No change (0%)
libdd-trace-obfuscation	8	8	No change (0%)
libdd-trace-utils	15	15	No change (0%)
Total	195	195	No change (0%)

About This Report

This report tracks Clippy allow annotations for specific rules, showing how they've changed in this PR. Decreasing the number of these annotations generally improves code quality.

[github-actions]

🔒 Cargo Deny Results

⚠️ 1 issue(s) found, showing only errors (advisories, bans, sources)

📦 libdd-data-pipeline - 1 error(s)

Show output

error[vulnerability]: Denial of Service via Stack Exhaustion
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:275:1
    │
275 │ time 0.3.41 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
    │
    ├ ID: RUSTSEC-2026-0009
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0009
    ├ ## Impact
      
      When user-provided input is provided to any type that parses with the RFC 2822 format, a denial of
      service attack via stack exhaustion is possible. The attack relies on formally deprecated and
      rarely-used features that are part of the RFC 2822 format used in a malicious manner. Ordinary,
      non-malicious input will never encounter this scenario.
      
      ## Patches
      
      A limit to the depth of recursion was added in v0.3.47. From this version, an error will be returned
      rather than exhausting the stack.
      
      ## Workarounds
      
      Limiting the length of user input is the simplest way to avoid stack exhaustion, as the amount of
      the stack consumed would be at most a factor of the length of the input.
    ├ Announcement: https://github.com/time-rs/time/blob/main/CHANGELOG.md#0347-2026-02-05
    ├ Solution: Upgrade to >=0.3.47 (try `cargo update -p time`)
    ├ time v0.3.41
      └── tracing-appender v0.2.3
          └── libdd-log v1.0.0
              └── (dev) libdd-data-pipeline v3.0.0

advisories FAILED, bans ok, sources ok

📦 libdd-telemetry - ✅ No issues

---

Updated: 2026-03-28 00:07:57 UTC | Commit: f7019da | dependency-check job results

[datadog-prod-us1-6]

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 61.98%
• Overall Coverage: 71.17% (-0.09%)

_{This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 9ac72b7 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!}

[codecov-commenter]

Codecov Report

❌ Patch coverage is 61.97605% with 127 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.17%. Comparing base (a29b90b) to head (9ac72b7).
⚠️ Report is 6 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff            @@
##             main    #1817    +/-   ##
========================================
  Coverage   71.16%   71.17%            
========================================
  Files         414      414            
  Lines       65739    66292   +553     
========================================
+ Hits        46786    47182   +396     
- Misses      18953    19110   +157     

Components	Coverage Δ
libdd-crashtracker	65.22% <ø> (-0.05%)	⬇️
libdd-crashtracker-ffi	34.47% <ø> (-0.77%)	⬇️
libdd-alloc	98.77% <ø> (ø)
libdd-data-pipeline	86.92% <92.50%> (-0.64%)	⬇️
libdd-data-pipeline-ffi	72.80% <93.75%> (-2.97%)	⬇️
libdd-common	79.79% <ø> (ø)
libdd-common-ffi	73.87% <ø> (ø)
libdd-telemetry	61.80% <52.36%> (-0.69%)	⬇️
libdd-telemetry-ffi	17.39% <21.33%> (+0.64%)	⬆️
libdd-dogstatsd-client	82.64% <ø> (ø)
datadog-ipc	70.31% <ø> (-2.25%)	⬇️
libdd-profiling	81.61% <ø> (-0.02%)	⬇️
libdd-profiling-ffi	64.94% <ø> (ø)
datadog-sidecar	31.62% <ø> (+0.83%)	⬆️
datdog-sidecar-ffi	13.26% <ø> (+3.89%)	⬆️
spawn-worker	54.69% <ø> (ø)
libdd-tinybytes	93.16% <ø> (ø)
libdd-trace-normalization	81.71% <ø> (ø)
libdd-trace-obfuscation	87.24% <ø> (-0.13%)	⬇️
libdd-trace-protobuf	68.25% <ø> (ø)
libdd-trace-utils	88.72% <ø> (+0.08%)	⬆️
datadog-tracer-flare	86.88% <ø> (ø)
libdd-log	74.69% <ø> (ø)

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
• 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

[dd-octo-sts]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	101.90 MB	101.94 MB	+.04% (+42.57 KB) 🔍
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.76 MB	8.76 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	118.84 MB	118.92 MB	+.06% (+81.33 KB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.36 MB	11.36 MB	+.01% (+1.16 KB) 🔍

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.39 MB	27.42 MB	+.08% (+23.00 KB) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	80.69 KB	81.77 KB	+1.34% (+1.08 KB) ⚠️
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	187.21 MB	187.24 MB	+.01% (+32.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	924.91 MB	925.01 MB	+.01% (+100.76 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.06 MB	9.07 MB	+.07% (+7.00 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	80.69 KB	81.77 KB	+1.34% (+1.08 KB) ⚠️
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	26.98 MB	26.99 MB	+.05% (+16.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	61.28 MB	61.31 MB	+.05% (+32.47 KB) 🔍

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	23.20 MB	23.22 MB	+.07% (+18.50 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	81.94 KB	83.04 KB	+1.33% (+1.09 KB) ⚠️
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	191.48 MB	191.52 MB	+.02% (+48.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	908.20 MB	908.29 MB	+.01% (+94.71 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	6.90 MB	6.91 MB	+.09% (+7.00 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	81.94 KB	83.04 KB	+1.33% (+1.09 KB) ⚠️
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	29.11 MB	29.13 MB	+.08% (+24.00 KB) 🔍
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	57.68 MB	57.71 MB	+.05% (+31.22 KB) 🔍

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	88.72 MB	88.76 MB	+.04% (+43.12 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	10.32 MB	10.32 MB	+.03% (+4.00 KB) 🔍

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	111.54 MB	111.62 MB	+.07% (+83.01 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	12.07 MB	12.08 MB	+.10% (+12.63 KB) 🔍

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2026-03-28 00:24:43

Comparing candidate commit 9ac72b7 in PR branch munir/add-session-id-support-telemetry with baseline commit d75fe5e in branch main.

Found 3 performance improvements and 0 performance regressions! Performance is the same for 59 metrics, 0 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:credit_card/is_card_number/378282246310005

• 🟩 execution_time [-12.567µs; -12.438µs] or [-15.308%; -15.151%]
• 🟩 throughput [+2177509.940op/s; +2199059.694op/s] or [+17.876%; +18.052%]

scenario:profile_serialize_compressed_pprof_timestamped_x1000

• 🟩 execution_time [-41.117µs; -40.570µs] or [-4.409%; -4.350%]

Candidate

Candidate benchmark details

Group 1

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	185.571µs	185.975µs ± 0.228µs	185.964µs ± 0.160µs	186.118µs	186.344µs	186.592µs	186.774µs	0.44%	0.673	0.435	0.12%	0.016µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5354070.003op/s	5377069.949op/s ± 6578.436op/s	5377387.039op/s ± 4637.075op/s	5382256.068op/s	5386397.791op/s	5387446.745op/s	5388762.867op/s	0.21%	-0.665	0.417	0.12%	465.166op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.804µs	17.861µs ± 0.031µs	17.857µs ± 0.015µs	17.872µs	17.920µs	17.958µs	18.067µs	1.18%	2.072	9.538	0.17%	0.002µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	55348399.571op/s	55987953.729op/s ± 97592.641op/s	56001212.262op/s ± 46475.521op/s	56035460.563op/s	56116073.128op/s	56145109.380op/s	56166835.325op/s	0.30%	-2.035	9.254	0.17%	6900.842op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.539µs	10.571µs ± 0.019µs	10.566µs ± 0.009µs	10.579µs	10.609µs	10.636µs	10.650µs	0.79%	1.256	2.089	0.18%	0.001µs	1	200
normalization/normalize_name/normalize_name/good	throughput	93896982.825op/s	94596456.032op/s ± 172697.517op/s	94639161.161op/s ± 82660.323op/s	94704483.155op/s	94831234.426op/s	94857464.124op/s	94888686.878op/s	0.26%	-1.243	2.041	0.18%	12211.559op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	[185.944µs; 186.007µs] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5376158.241op/s; 5377981.657op/s] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.857µs; 17.865µs] or [-0.024%; +0.024%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55974428.327op/s; 56001479.130op/s] or [-0.024%; +0.024%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.569µs; 10.574µs] or [-0.025%; +0.025%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[94572521.817op/s; 94620390.247op/s] or [-0.025%; +0.025%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
profile_add_sample2_frames_x1000	execution_time	736.730µs	738.373µs ± 0.729µs	738.492µs ± 0.490µs	738.879µs	739.405µs	740.033µs	740.145µs	0.22%	-0.151	-0.609	0.10%	0.052µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample2_frames_x1000	execution_time	[738.272µs; 738.474µs] or [-0.014%; +0.014%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
two way interface	execution_time	13.933µs	14.630µs ± 0.658µs	14.705µs ± 0.435µs	14.873µs	15.882µs	17.031µs	17.261µs	17.38%	1.610	3.431	4.49%	0.047µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[14.539µs; 14.722µs] or [-0.623%; +0.623%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_trace/test_trace	execution_time	244.549ns	256.127ns ± 12.710ns	250.429ns ± 3.743ns	259.196ns	282.138ns	288.121ns	289.453ns	15.58%	1.300	0.255	4.95%	0.899ns	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_trace/test_trace	execution_time	[254.365ns; 257.888ns] or [-0.688%; +0.688%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	execution_time	495.409µs	496.677µs ± 1.602µs	496.166µs ± 0.346µs	496.610µs	499.917µs	501.795µs	508.912µs	2.57%	3.751	19.848	0.32%	0.113µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1964974.976op/s	2013402.539op/s ± 6416.934op/s	2015454.957op/s ± 1405.550op/s	2016655.897op/s	2017575.108op/s	2018364.676op/s	2018535.313op/s	0.15%	-3.678	19.030	0.32%	453.746op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	370.489µs	371.324µs ± 0.345µs	371.286µs ± 0.172µs	371.489µs	371.887µs	372.297µs	372.581µs	0.35%	0.662	1.346	0.09%	0.024µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2683976.996op/s	2693067.011op/s ± 2499.888op/s	2693344.833op/s ± 1244.896op/s	2694404.822op/s	2696689.593op/s	2698217.833op/s	2699137.367op/s	0.22%	-0.654	1.330	0.09%	176.769op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	167.864µs	168.221µs ± 0.139µs	168.212µs ± 0.092µs	168.315µs	168.474µs	168.541µs	168.632µs	0.25%	0.126	-0.044	0.08%	0.010µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5930058.681op/s	5944573.173op/s ± 4924.108op/s	5944865.109op/s ± 3266.054op/s	5947805.654op/s	5952601.991op/s	5955009.631op/s	5957200.974op/s	0.21%	-0.121	-0.046	0.08%	348.187op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.899µs	37.124µs ± 0.109µs	37.145µs ± 0.079µs	37.210µs	37.274µs	37.310µs	37.320µs	0.47%	-0.392	-0.952	0.29%	0.008µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26795013.175op/s	26936807.749op/s ± 79514.643op/s	26921525.930op/s ± 57377.197op/s	27003727.116op/s	27075194.057op/s	27089126.540op/s	27100789.947op/s	0.67%	0.400	-0.949	0.29%	5622.534op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	46.303µs	46.423µs ± 0.111µs	46.413µs ± 0.032µs	46.445µs	46.509µs	46.561µs	47.805µs	3.00%	9.791	119.258	0.24%	0.008µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	20918513.326op/s	21541364.152op/s ± 50266.255op/s	21545816.581op/s ± 14646.389op/s	21560215.798op/s	21579660.397op/s	21589049.067op/s	21596769.123op/s	0.24%	-9.609	116.229	0.23%	3554.361op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	execution_time	[496.455µs; 496.899µs] or [-0.045%; +0.045%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2012513.214op/s; 2014291.864op/s] or [-0.044%; +0.044%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[371.276µs; 371.372µs] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2692720.550op/s; 2693413.471op/s] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[168.201µs; 168.240µs] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5943890.739op/s; 5945255.607op/s] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.109µs; 37.139µs] or [-0.041%; +0.041%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26925787.784op/s; 26947827.714op/s] or [-0.041%; +0.041%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.407µs; 46.438µs] or [-0.033%; +0.033%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21534397.732op/s; 21548330.571op/s] or [-0.032%; +0.032%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching serializing traces from their internal representation to msgpack	execution_time	13.753ms	13.803ms ± 0.030ms	13.798ms ± 0.012ms	13.809ms	13.843ms	13.933ms	13.952ms	1.12%	2.430	8.005	0.22%	0.002ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching serializing traces from their internal representation to msgpack	execution_time	[13.798ms; 13.807ms] or [-0.030%; +0.030%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
profile_add_sample_frames_x1000	execution_time	4.095ms	4.101ms ± 0.003ms	4.101ms ± 0.002ms	4.103ms	4.106ms	4.109ms	4.113ms	0.29%	0.747	0.696	0.07%	0.000ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample_frames_x1000	execution_time	[4.101ms; 4.102ms] or [-0.010%; +0.010%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching deserializing traces from msgpack to their internal representation	execution_time	49.932ms	50.154ms ± 0.656ms	50.042ms ± 0.042ms	50.089ms	50.308ms	52.555ms	57.037ms	13.98%	7.947	70.765	1.30%	0.046ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching deserializing traces from msgpack to their internal representation	execution_time	[50.063ms; 50.245ms] or [-0.181%; +0.181%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching string interning on wordpress profile	execution_time	161.869µs	162.412µs ± 0.310µs	162.359µs ± 0.154µs	162.510µs	162.878µs	163.458µs	164.537µs	1.34%	2.559	11.994	0.19%	0.022µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching string interning on wordpress profile	execution_time	[162.369µs; 162.455µs] or [-0.026%; +0.026%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
single_flag_killswitch/rules-based	execution_time	190.797ns	193.173ns ± 1.707ns	193.200ns ± 1.216ns	194.093ns	196.323ns	197.458ns	199.695ns	3.36%	0.648	0.343	0.88%	0.121ns	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
single_flag_killswitch/rules-based	execution_time	[192.937ns; 193.410ns] or [-0.122%; +0.122%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
credit_card/is_card_number/	execution_time	3.893µs	3.912µs ± 0.003µs	3.912µs ± 0.001µs	3.913µs	3.916µs	3.919µs	3.919µs	0.20%	-1.233	11.355	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	255139829.803op/s	255641945.986op/s ± 172483.589op/s	255653712.865op/s ± 94480.426op/s	255736237.088op/s	255859985.752op/s	255899178.520op/s	256855819.473op/s	0.47%	1.257	11.527	0.07%	12196.432op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	78.966µs	79.450µs ± 0.301µs	79.366µs ± 0.184µs	79.640µs	80.089µs	80.256µs	80.424µs	1.33%	0.905	0.357	0.38%	0.021µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12434025.652op/s	12586663.058op/s ± 47519.587op/s	12599904.245op/s ± 29358.388op/s	12622041.242op/s	12645232.514op/s	12654877.773op/s	12663713.676op/s	0.51%	-0.887	0.314	0.38%	3360.142op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	72.291µs	72.791µs ± 0.294µs	72.736µs ± 0.189µs	72.971µs	73.304µs	73.681µs	73.844µs	1.52%	0.958	0.975	0.40%	0.021µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13542146.693op/s	13738196.954op/s ± 55230.819op/s	13748441.970op/s ± 35650.114op/s	13779224.720op/s	13809266.778op/s	13823025.595op/s	13832908.489op/s	0.61%	-0.934	0.904	0.40%	3905.409op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.898µs	3.913µs ± 0.003µs	3.913µs ± 0.002µs	3.915µs	3.919µs	3.922µs	3.923µs	0.25%	0.208	1.281	0.09%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254934086.672op/s	255528538.906op/s ± 222178.094op/s	255574876.990op/s ± 120925.737op/s	255681415.355op/s	255798010.691op/s	255905713.412op/s	256522248.789op/s	0.37%	-0.199	1.305	0.09%	15710.364op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	69.179µs	69.591µs ± 0.251µs	69.522µs ± 0.114µs	69.702µs	70.122µs	70.381µs	70.488µs	1.39%	1.292	1.455	0.36%	0.018µs	1	200
credit_card/is_card_number/378282246310005	throughput	14186776.998op/s	14369780.768op/s ± 51660.460op/s	14384038.036op/s ± 23727.750op/s	14403940.950op/s	14425979.169op/s	14444313.134op/s	14455326.316op/s	0.50%	-1.272	1.394	0.36%	3652.946op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.235µs	52.312µs ± 0.036µs	52.309µs ± 0.023µs	52.332µs	52.381µs	52.411µs	52.467µs	0.30%	0.912	1.567	0.07%	0.003µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19059726.134op/s	19115902.725op/s ± 13003.381op/s	19117188.167op/s ± 8338.186op/s	19125160.379op/s	19132971.747op/s	19139483.826op/s	19144164.131op/s	0.14%	-0.906	1.549	0.07%	919.478op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	5.701µs	5.813µs ± 0.049µs	5.810µs ± 0.039µs	5.849µs	5.893µs	5.932µs	5.936µs	2.16%	0.137	-0.393	0.84%	0.003µs	1	200
credit_card/is_card_number/x371413321323331	throughput	168469627.577op/s	172046859.493op/s ± 1452232.965op/s	172111192.155op/s ± 1146734.386op/s	173251541.575op/s	174347894.587op/s	175348222.896op/s	175422261.350op/s	1.92%	-0.097	-0.410	0.84%	102688.378op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.892µs	3.912µs ± 0.003µs	3.911µs ± 0.002µs	3.914µs	3.919µs	3.921µs	3.922µs	0.27%	-0.243	6.735	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254970097.103op/s	255618336.547op/s ± 215131.492op/s	255657305.231op/s ± 100892.547op/s	255745318.073op/s	255841595.548op/s	255909449.857op/s	256937152.389op/s	0.50%	0.265	6.852	0.08%	15212.094op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	63.908µs	64.364µs ± 0.136µs	64.366µs ± 0.088µs	64.452µs	64.589µs	64.709µs	64.813µs	0.70%	0.114	0.818	0.21%	0.010µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15428971.395op/s	15536618.025op/s ± 32707.037op/s	15536236.181op/s ± 21159.890op/s	15557752.146op/s	15586983.624op/s	15610543.727op/s	15647590.582op/s	0.72%	-0.096	0.812	0.21%	2312.737op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	57.800µs	58.086µs ± 0.209µs	58.032µs ± 0.111µs	58.188µs	58.503µs	58.739µs	58.779µs	1.29%	1.120	0.774	0.36%	0.015µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	17012943.999op/s	17216112.129op/s ± 61664.908op/s	17231945.018op/s ± 32843.182op/s	17259848.892op/s	17289511.577op/s	17296473.579op/s	17301027.681op/s	0.40%	-1.104	0.727	0.36%	4360.367op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.896µs	3.912µs ± 0.003µs	3.912µs ± 0.001µs	3.914µs	3.916µs	3.920µs	3.931µs	0.49%	0.908	11.277	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254392777.275op/s	255617320.741op/s ± 191181.741op/s	255644333.447op/s ± 95337.347op/s	255728481.760op/s	255836797.215op/s	255898200.909op/s	256647594.247op/s	0.39%	-0.880	11.214	0.07%	13518.591op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	54.584µs	55.034µs ± 0.291µs	54.992µs ± 0.180µs	55.185µs	55.607µs	55.904µs	55.954µs	1.75%	0.837	0.489	0.53%	0.021µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17871953.151op/s	18171165.847op/s ± 95634.230op/s	18184389.611op/s ± 59834.390op/s	18240661.634op/s	18298832.270op/s	18317559.038op/s	18320420.121op/s	0.75%	-0.809	0.421	0.52%	6762.361op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	52.237µs	52.310µs ± 0.037µs	52.306µs ± 0.025µs	52.334µs	52.377µs	52.419µs	52.427µs	0.23%	0.641	0.461	0.07%	0.003µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19073987.700op/s	19116905.743op/s ± 13419.245op/s	19118411.224op/s ± 9217.789op/s	19126598.332op/s	19135124.656op/s	19142815.643op/s	19143631.577op/s	0.13%	-0.636	0.452	0.07%	948.884op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	5.703µs	5.805µs ± 0.056µs	5.801µs ± 0.037µs	5.839µs	5.901µs	5.938µs	5.956µs	2.67%	0.372	-0.476	0.95%	0.004µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	167894075.589op/s	172274522.883op/s ± 1641559.341op/s	172371162.305op/s ± 1113357.664op/s	173442549.568op/s	174460608.391op/s	175307143.432op/s	175359810.563op/s	1.73%	-0.333	-0.519	0.95%	116075.774op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
credit_card/is_card_number/	execution_time	[3.911µs; 3.912µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/	throughput	[255618041.419op/s; 255665850.553op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[79.409µs; 79.492µs] or [-0.053%; +0.053%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12580077.300op/s; 12593248.816op/s] or [-0.052%; +0.052%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[72.750µs; 72.832µs] or [-0.056%; +0.056%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13730542.493op/s; 13745851.414op/s] or [-0.056%; +0.056%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.913µs; 3.914µs] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255497747.159op/s; 255559330.653op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[69.557µs; 69.626µs] or [-0.050%; +0.050%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14362621.125op/s; 14376940.411op/s] or [-0.050%; +0.050%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.308µs; 52.317µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19114100.582op/s; 19117704.869op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[5.806µs; 5.820µs] or [-0.117%; +0.117%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[171845593.971op/s; 172248125.015op/s] or [-0.117%; +0.117%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.912µs; 3.913µs] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255588521.392op/s; 255648151.703op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[64.346µs; 64.383µs] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15532085.144op/s; 15541150.906op/s] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[58.057µs; 58.115µs] or [-0.050%; +0.050%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17207565.966op/s; 17224658.292op/s] or [-0.050%; +0.050%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255590824.791op/s; 255643816.692op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[54.993µs; 55.074µs] or [-0.073%; +0.073%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18157911.862op/s; 18184419.831op/s] or [-0.073%; +0.073%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.305µs; 52.315µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19115045.965op/s; 19118765.521op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[5.798µs; 5.813µs] or [-0.133%; +0.133%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[172047018.546op/s; 172502027.220op/s] or [-0.132%; +0.132%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
sdk_test_data/rules-based	execution_time	144.689µs	146.408µs ± 1.638µs	146.209µs ± 0.483µs	146.604µs	147.592µs	153.676µs	162.075µs	10.85%	5.920	46.989	1.12%	0.116µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sdk_test_data/rules-based	execution_time	[146.181µs; 146.635µs] or [-0.155%; +0.155%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
redis/obfuscate_redis_string	execution_time	33.918µs	34.464µs ± 0.822µs	34.082µs ± 0.091µs	34.266µs	36.175µs	36.205µs	37.837µs	11.02%	1.751	1.591	2.38%	0.058µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[34.350µs; 34.578µs] or [-0.330%; +0.330%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
ip_address/quantize_peer_ip_address_benchmark	execution_time	5.047µs	5.126µs ± 0.038µs	5.139µs ± 0.019µs	5.154µs	5.177µs	5.182µs	5.209µs	1.36%	-0.401	-1.088	0.74%	0.003µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
ip_address/quantize_peer_ip_address_benchmark	execution_time	[5.120µs; 5.131µs] or [-0.103%; +0.103%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
profile_add_sample_timestamped_x1000	execution_time	4.170ms	4.174ms ± 0.008ms	4.173ms ± 0.001ms	4.175ms	4.178ms	4.181ms	4.282ms	2.61%	12.324	162.560	0.19%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample_timestamped_x1000	execution_time	[4.173ms; 4.175ms] or [-0.027%; +0.027%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
concentrator/add_spans_to_concentrator	execution_time	14.808ms	14.838ms ± 0.016ms	14.836ms ± 0.009ms	14.847ms	14.865ms	14.895ms	14.938ms	0.69%	1.722	7.195	0.11%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
concentrator/add_spans_to_concentrator	execution_time	[14.836ms; 14.841ms] or [-0.015%; +0.015%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
write only interface	execution_time	5.528µs	5.640µs ± 0.024µs	5.634µs ± 0.012µs	5.651µs	5.686µs	5.696µs	5.697µs	1.12%	0.167	1.804	0.42%	0.002µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[5.636µs; 5.643µs] or [-0.058%; +0.058%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
profile_serialize_compressed_pprof_timestamped_x1000	execution_time	888.984µs	891.750µs ± 1.272µs	891.726µs ± 0.792µs	892.428µs	893.741µs	894.505µs	900.272µs	0.96%	1.611	8.871	0.14%	0.090µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_serialize_compressed_pprof_timestamped_x1000	execution_time	[891.573µs; 891.926µs] or [-0.020%; +0.020%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
tags/replace_trace_tags	execution_time	2.412µs	2.439µs ± 0.021µs	2.436µs ± 0.010µs	2.445µs	2.504µs	2.511µs	2.513µs	3.15%	2.118	4.500	0.87%	0.002µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
tags/replace_trace_tags	execution_time	[2.437µs; 2.442µs] or [-0.121%; +0.121%]	None	None	None

Group 20

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
receiver_entry_point/report/2598	execution_time	3.429ms	3.460ms ± 0.023ms	3.453ms ± 0.010ms	3.466ms	3.512ms	3.531ms	3.541ms	2.57%	1.433	1.464	0.67%	0.002ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
receiver_entry_point/report/2598	execution_time	[3.457ms; 3.464ms] or [-0.093%; +0.093%]	None	None	None

Group 21

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	9ac72b7	1774656426	munir/add-session-id-support-telemetry

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
sql/obfuscate_sql_string	execution_time	289.727µs	290.275µs ± 0.508µs	290.208µs ± 0.179µs	290.385µs	290.825µs	292.021µs	294.432µs	1.46%	5.689	42.620	0.17%	0.036µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[290.204µs; 290.345µs] or [-0.024%; +0.024%]	None	None	None

Baseline

Omitted due to size.