refactor(trace-utils)!: change header name type to accept dynamic values

[paullegranddc]

What does this PR do?

• Change the header name types passed throughout data-pipeline and trace utils from &'static str to HeaderName

This should not cause extra allocations for fixed header names, as the header names for string values are "const constructed" and trivially copyable.

Motivation

OTLP supports requires the ability to defined extra headers sent with the payload in configuration

Additional Notes

Anything else we should know when reviewing?

How to test the change?

Describe here in detail how the change can be validated.

[datadog-prod-us1-4]

⚠️ Tests

✨ Fix all issues with BitsAI or with Cursor

⚠️ Warnings

🧪 7 Tests failed

trace_exporter::tests::test_from_tracer_tags_to_hashmap from libdd-data-pipeline (Datadog) (Fix with Cursor)

Test has failed

trace_exporter::trace_serializer::tests::test_build_traces_headers from libdd-data-pipeline (Datadog) (Fix with Cursor)

Test has failed

trace_exporter::trace_serializer::tests::test_build_traces_headers_with_agent_version from libdd-data-pipeline (Datadog) (Fix with Cursor)

Test has failed

View all

ℹ️ Info

No other issues found (see more)

❄️ No new flaky tests detected

_{This comment will be updated automatically if new data arrives.
🔗 Commit SHA: ba5b268 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!}

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2026-03-13 12:48:53

Comparing candidate commit ba5b268 in PR branch paullgdc/trace_utils/pass_dynamic_header_names with baseline commit 0e8c2c6 in branch main.

Found 2 performance improvements and 0 performance regressions! Performance is the same for 56 metrics, 2 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:benching serializing traces from their internal representation to msgpack

• 🟩 execution_time [-674.306µs; -660.468µs] or [-4.582%; -4.488%]

scenario:concentrator/add_spans_to_concentrator

• 🟩 execution_time [-2.346ms; -2.340ms] or [-17.978%; -17.937%]

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	ba5b268	1773405169	paullgdc/trace_utils/pass_dynamic_header_names

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	1.199µs	3.168µs ± 1.433µs	2.995µs ± 0.022µs	3.013µs	3.285µs	13.824µs	15.126µs	405.10%	7.496	56.811	45.13%	0.101µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[2.969µs; 3.366µs] or [-6.271%; +6.271%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	ba5b268	1773405169	paullgdc/trace_utils/pass_dynamic_header_names

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	190.891ns	194.034ns ± 8.185ns	193.364ns ± 1.313ns	194.445ns	197.623ns	200.742ns	305.664ns	58.08%	12.786	171.788	4.21%	0.579ns	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	[192.899ns; 195.168ns] or [-0.585%; +0.585%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	ba5b268	1773405169	paullgdc/trace_utils/pass_dynamic_header_names

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	244.036ns	253.548ns ± 11.056ns	248.536ns ± 2.266ns	255.882ns	278.214ns	291.486ns	292.726ns	17.78%	2.038	3.560	4.35%	0.782ns	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	[252.015ns; 255.080ns] or [-0.604%; +0.604%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	ba5b268	1773405169	paullgdc/trace_utils/pass_dynamic_header_names

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	4.965µs	5.044µs ± 0.045µs	5.033µs ± 0.038µs	5.088µs	5.116µs	5.117µs	5.126µs	1.84%	0.340	-1.333	0.89%	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	[5.038µs; 5.050µs] or [-0.124%; +0.124%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	ba5b268	1773405169	paullgdc/trace_utils/pass_dynamic_header_names

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	205.831µs	206.432µs ± 0.384µs	206.343µs ± 0.255µs	206.691µs	207.167µs	207.354µs	207.563µs	0.59%	0.623	-0.377	0.19%	0.027µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4817807.450op/s	4844235.338op/s ± 9004.025op/s	4846296.434op/s ± 5993.849op/s	4851416.043op/s	4856153.865op/s	4858081.853op/s	4858343.825op/s	0.25%	-0.616	-0.390	0.19%	636.681op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.570µs	18.740µs ± 0.171µs	18.675µs ± 0.051µs	18.812µs	19.140µs	19.342µs	19.380µs	3.77%	1.734	2.601	0.91%	0.012µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	51600422.074op/s	53366318.419op/s ± 479977.956op/s	53548094.507op/s ± 146601.180op/s	53652270.319op/s	53837095.247op/s	53844148.451op/s	53851107.165op/s	0.57%	-1.691	2.420	0.90%	33939.567op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.733µs	10.820µs ± 0.044µs	10.817µs ± 0.029µs	10.844µs	10.898µs	10.953µs	10.959µs	1.31%	0.689	0.415	0.40%	0.003µs	1	200
normalization/normalize_name/normalize_name/good	throughput	91253142.487op/s	92421610.611op/s ± 373322.452op/s	92446847.908op/s ± 247934.954op/s	92706099.914op/s	92973717.149op/s	93055487.112op/s	93169336.336op/s	0.78%	-0.666	0.366	0.40%	26397.884op/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	[206.378µs; 206.485µs] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4842987.467op/s; 4845483.209op/s] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.716µs; 18.764µs] or [-0.127%; +0.127%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[53299798.091op/s; 53432838.748op/s] or [-0.125%; +0.125%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.814µs; 10.826µs] or [-0.056%; +0.056%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[92369871.709op/s; 92473349.512op/s] or [-0.056%; +0.056%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	ba5b268	1773405169	paullgdc/trace_utils/pass_dynamic_header_names

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	17.776µs	25.363µs ± 9.370µs	18.278µs ± 0.422µs	33.825µs	42.195µs	43.307µs	70.239µs	284.27%	1.012	0.996	36.85%	0.663µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.065µs; 26.662µs] or [-5.120%; +5.120%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	ba5b268	1773405169	paullgdc/trace_utils/pass_dynamic_header_names

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	13.983ms	14.048ms ± 0.034ms	14.043ms ± 0.017ms	14.062ms	14.098ms	14.188ms	14.231ms	1.34%	2.027	6.744	0.24%	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	[14.044ms; 14.053ms] or [-0.034%; +0.034%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	ba5b268	1773405169	paullgdc/trace_utils/pass_dynamic_header_names

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	88.305µs	88.536µs ± 0.173µs	88.500µs ± 0.080µs	88.610µs	88.755µs	89.052µs	90.180µs	1.90%	4.688	39.462	0.20%	0.012µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[88.512µs; 88.560µs] or [-0.027%; +0.027%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	ba5b268	1773405169	paullgdc/trace_utils/pass_dynamic_header_names

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	493.307µs	494.126µs ± 1.183µs	493.963µs ± 0.254µs	494.243µs	494.685µs	495.371µs	505.439µs	2.32%	8.375	76.150	0.24%	0.084µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1978479.420op/s	2023785.338op/s ± 4749.867op/s	2024443.240op/s ± 1041.133op/s	2025265.867op/s	2026554.472op/s	2027101.046op/s	2027133.862op/s	0.13%	-8.318	75.427	0.23%	335.866op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	370.228µs	370.721µs ± 0.246µs	370.716µs ± 0.173µs	370.874µs	371.103µs	371.331µs	371.713µs	0.27%	0.503	0.566	0.07%	0.017µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2690250.101op/s	2697450.080op/s ± 1792.374op/s	2697480.336op/s ± 1261.517op/s	2698770.141op/s	2700198.102op/s	2700820.688op/s	2701035.107op/s	0.13%	-0.498	0.554	0.07%	126.740op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	167.270µs	167.631µs ± 0.223µs	167.583µs ± 0.097µs	167.699µs	168.011µs	168.146µs	169.151µs	0.94%	2.855	14.556	0.13%	0.016µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5911879.992op/s	5965510.873op/s ± 7913.740op/s	5967194.861op/s ± 3443.976op/s	5970401.457op/s	5973712.498op/s	5976357.065op/s	5978346.706op/s	0.19%	-2.822	14.269	0.13%	559.586op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.023µs	37.116µs ± 0.046µs	37.112µs ± 0.029µs	37.140µs	37.197µs	37.233µs	37.313µs	0.54%	0.836	1.478	0.12%	0.003µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26800577.064op/s	26942748.248op/s ± 33126.290op/s	26945216.808op/s ± 21037.546op/s	26966586.932op/s	26989198.812op/s	27001315.466op/s	27010069.513op/s	0.24%	-0.826	1.444	0.12%	2342.382op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.407µs	45.639µs ± 0.124µs	45.640µs ± 0.073µs	45.711µs	45.766µs	45.826µs	46.767µs	2.47%	3.657	32.928	0.27%	0.009µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21382553.120op/s	21911460.606op/s ± 58747.804op/s	21910714.101op/s ± 34957.410op/s	21945940.444op/s	21995246.754op/s	22003274.981op/s	22022966.038op/s	0.51%	-3.486	30.974	0.27%	4154.097op/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	[493.962µs; 494.290µs] or [-0.033%; +0.033%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2023127.052op/s; 2024443.623op/s] or [-0.033%; +0.033%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[370.686µs; 370.755µs] or [-0.009%; +0.009%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2697201.674op/s; 2697698.486op/s] or [-0.009%; +0.009%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[167.600µs; 167.661µs] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5964414.104op/s; 5966607.641op/s] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.109µs; 37.122µs] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26938157.263op/s; 26947339.233op/s] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.621µs; 45.656µs] or [-0.038%; +0.038%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21903318.726op/s; 21919602.487op/s] or [-0.037%; +0.037%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	ba5b268	1773405169	paullgdc/trace_utils/pass_dynamic_header_names

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	3.423ms	3.461ms ± 0.031ms	3.450ms ± 0.008ms	3.462ms	3.535ms	3.560ms	3.579ms	3.76%	1.953	3.311	0.89%	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	[3.456ms; 3.465ms] or [-0.124%; +0.124%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	ba5b268	1773405169	paullgdc/trace_utils/pass_dynamic_header_names

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	163.573µs	164.400µs ± 0.283µs	164.392µs ± 0.137µs	164.516µs	164.844µs	165.120µs	165.836µs	0.88%	1.000	3.936	0.17%	0.020µs	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	[164.361µs; 164.439µs] or [-0.024%; +0.024%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	ba5b268	1773405169	paullgdc/trace_utils/pass_dynamic_header_names

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	2.297µs	2.367µs ± 0.020µs	2.367µs ± 0.003µs	2.371µs	2.407µs	2.416µs	2.418µs	2.15%	-0.909	4.024	0.84%	0.001µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
tags/replace_trace_tags	execution_time	[2.364µs; 2.370µs] or [-0.116%; +0.116%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	ba5b268	1773405169	paullgdc/trace_utils/pass_dynamic_header_names

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	144.971µs	146.894µs ± 1.886µs	146.595µs ± 0.465µs	147.097µs	148.184µs	153.317µs	166.307µs	13.45%	6.908	61.320	1.28%	0.133µs	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	[146.632µs; 147.155µs] or [-0.178%; +0.178%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	ba5b268	1773405169	paullgdc/trace_utils/pass_dynamic_header_names

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	10.677ms	10.704ms ± 0.013ms	10.703ms ± 0.008ms	10.711ms	10.725ms	10.738ms	10.748ms	0.42%	0.556	0.392	0.12%	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	[10.702ms; 10.706ms] or [-0.016%; +0.016%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	ba5b268	1773405169	paullgdc/trace_utils/pass_dynamic_header_names

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	32.589µs	33.510µs ± 1.238µs	32.752µs ± 0.117µs	34.785µs	35.613µs	35.821µs	36.102µs	10.23%	0.952	-0.983	3.69%	0.088µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.338µs; 33.682µs] or [-0.512%; +0.512%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	ba5b268	1773405169	paullgdc/trace_utils/pass_dynamic_header_names

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	4.119ms	4.124ms ± 0.007ms	4.123ms ± 0.001ms	4.124ms	4.127ms	4.131ms	4.211ms	2.15%	11.601	149.918	0.16%	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	[4.123ms; 4.124ms] or [-0.022%; +0.022%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	ba5b268	1773405169	paullgdc/trace_utils/pass_dynamic_header_names

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	3.895µs	3.915µs ± 0.003µs	3.915µs ± 0.001µs	3.916µs	3.918µs	3.922µs	3.925µs	0.27%	-1.280	14.504	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	254766904.243op/s	255453581.549op/s ± 170472.201op/s	255456788.046op/s ± 90208.984op/s	255549023.427op/s	255651928.378op/s	255713372.154op/s	256707075.416op/s	0.49%	1.310	14.705	0.07%	12054.205op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	79.631µs	80.185µs ± 0.090µs	80.185µs ± 0.044µs	80.229µs	80.296µs	80.342µs	80.630µs	0.56%	-1.574	14.310	0.11%	0.006µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12402314.411op/s	12471244.405op/s ± 14042.407op/s	12471205.856op/s ± 6783.058op/s	12477214.423op/s	12487058.352op/s	12513990.495op/s	12557862.865op/s	0.69%	1.620	14.479	0.11%	992.948op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	67.829µs	67.918µs ± 0.069µs	67.906µs ± 0.030µs	67.944µs	68.003µs	68.136µs	68.549µs	0.95%	4.610	36.380	0.10%	0.005µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	14588160.939op/s	14723559.205op/s ± 14784.153op/s	14726335.922op/s ± 6545.531op/s	14731594.579op/s	14738297.602op/s	14740771.949op/s	14742925.712op/s	0.11%	-4.559	35.744	0.10%	1045.398op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.896µs	3.915µs ± 0.004µs	3.915µs ± 0.002µs	3.916µs	3.922µs	3.924µs	3.940µs	0.64%	1.289	12.643	0.09%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	253838827.942op/s	255415529.809op/s ± 236209.315op/s	255457555.737op/s ± 106310.605op/s	255538407.470op/s	255665620.200op/s	255746680.500op/s	256661006.061op/s	0.47%	-1.253	12.535	0.09%	16702.521op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	64.601µs	64.706µs ± 0.054µs	64.701µs ± 0.038µs	64.739µs	64.795µs	64.864µs	64.878µs	0.27%	0.600	0.197	0.08%	0.004µs	1	200
credit_card/is_card_number/378282246310005	throughput	15413634.324op/s	15454627.101op/s ± 12922.161op/s	15455673.130op/s ± 9059.611op/s	15464369.708op/s	15473096.232op/s	15477102.556op/s	15479709.197op/s	0.16%	-0.596	0.187	0.08%	913.735op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	45.363µs	45.704µs ± 0.101µs	45.700µs ± 0.080µs	45.788µs	45.852µs	45.909µs	45.929µs	0.50%	-0.169	-0.367	0.22%	0.007µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	21772604.139op/s	21880002.408op/s ± 48531.680op/s	21881705.806op/s ± 38598.973op/s	21914932.288op/s	21955931.749op/s	21980647.809op/s	22044566.060op/s	0.74%	0.180	-0.352	0.22%	3431.708op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.592µs	6.631µs ± 0.011µs	6.635µs ± 0.004µs	6.637µs	6.641µs	6.645µs	6.651µs	0.24%	-1.593	2.710	0.16%	0.001µs	1	200
credit_card/is_card_number/x371413321323331	throughput	150359184.193op/s	150811688.164op/s ± 241258.813op/s	150724874.351op/s ± 82176.199op/s	150932389.936op/s	151249765.573op/s	151673128.890op/s	151706939.166op/s	0.65%	1.603	2.754	0.16%	17059.574op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.894µs	3.915µs ± 0.003µs	3.915µs ± 0.002µs	3.917µs	3.919µs	3.920µs	3.924µs	0.23%	-1.701	15.054	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254845200.741op/s	255429145.017op/s ± 181996.012op/s	255438005.201op/s ± 106734.930op/s	255528440.373op/s	255665681.588op/s	255726775.186op/s	256801805.392op/s	0.53%	1.732	15.297	0.07%	12869.061op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	65.579µs	65.695µs ± 0.046µs	65.693µs ± 0.028µs	65.721µs	65.781µs	65.798µs	65.825µs	0.20%	0.253	-0.011	0.07%	0.003µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15191722.517op/s	15221832.891op/s ± 10600.351op/s	15222328.828op/s ± 6448.302op/s	15228667.020op/s	15237973.600op/s	15245023.717op/s	15248721.599op/s	0.17%	-0.249	-0.013	0.07%	749.558op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	53.366µs	53.438µs ± 0.040µs	53.431µs ± 0.027µs	53.461µs	53.514µs	53.556µs	53.574µs	0.27%	0.749	0.497	0.07%	0.003µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18665913.411op/s	18713456.516op/s ± 14060.104op/s	18715580.567op/s ± 9406.992op/s	18724036.584op/s	18732877.571op/s	18734470.086op/s	18738416.195op/s	0.12%	-0.744	0.486	0.07%	994.200op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.896µs	3.915µs ± 0.003µs	3.916µs ± 0.002µs	3.917µs	3.920µs	3.921µs	3.923µs	0.18%	-1.144	6.957	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254923134.439op/s	255402988.057op/s ± 197101.488op/s	255388739.896op/s ± 127306.871op/s	255542004.723op/s	255674259.906op/s	255739988.708op/s	256669179.446op/s	0.50%	1.162	7.083	0.08%	13937.180op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	50.147µs	50.209µs ± 0.027µs	50.205µs ± 0.018µs	50.224µs	50.255µs	50.283µs	50.287µs	0.16%	0.567	0.025	0.05%	0.002µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	19885950.099op/s	19916814.075op/s ± 10686.655op/s	19918407.233op/s ± 7069.016op/s	19924754.662op/s	19931837.501op/s	19934219.955op/s	19941205.350op/s	0.11%	-0.565	0.022	0.05%	755.661op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	45.401µs	45.684µs ± 0.102µs	45.688µs ± 0.072µs	45.760µs	45.848µs	45.886µs	45.910µs	0.49%	-0.191	-0.231	0.22%	0.007µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	21781710.067op/s	21889423.807op/s ± 48713.264op/s	21887426.769op/s ± 34510.380op/s	21921061.774op/s	21970779.307op/s	22007749.302op/s	22025807.004op/s	0.63%	0.202	-0.220	0.22%	3444.548op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.573µs	6.632µs ± 0.010µs	6.634µs ± 0.004µs	6.637µs	6.643µs	6.649µs	6.650µs	0.24%	-1.790	6.923	0.14%	0.001µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	150374456.313op/s	150786227.349op/s ± 217163.252op/s	150733093.246op/s ± 80219.292op/s	150848259.071op/s	151174180.989op/s	151398009.247op/s	152138176.550op/s	0.93%	1.815	7.100	0.14%	15355.761op/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	[3.914µs; 3.915µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/	throughput	[255429955.742op/s; 255477207.357op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[80.172µs; 80.197µs] or [-0.016%; +0.016%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12469298.262op/s; 12473190.547op/s] or [-0.016%; +0.016%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[67.909µs; 67.928µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14721510.264op/s; 14725608.147op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.915µs; 3.916µs] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255382793.470op/s; 255448266.149op/s] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[64.698µs; 64.713µs] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[15452836.213op/s; 15456417.988op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[45.690µs; 45.718µs] or [-0.031%; +0.031%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[21873276.384op/s; 21886728.432op/s] or [-0.031%; +0.031%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.629µs; 6.632µs] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[150778252.013op/s; 150845124.315op/s] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.915µs; 3.915µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255403922.120op/s; 255454367.914op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[65.689µs; 65.701µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15220363.784op/s; 15223301.998op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[53.432µs; 53.443µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18711507.920op/s; 18715405.111op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.915µs; 3.916µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255375671.686op/s; 255430304.427op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[50.205µs; 50.213µs] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[19915333.007op/s; 19918295.142op/s] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[45.670µs; 45.698µs] or [-0.031%; +0.031%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[21882672.617op/s; 21896174.997op/s] or [-0.031%; +0.031%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.631µs; 6.633µs] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[150756130.611op/s; 150816324.087op/s] or [-0.020%; +0.020%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	ba5b268	1773405169	paullgdc/trace_utils/pass_dynamic_header_names

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	49.164ms	49.543ms ± 0.824ms	49.447ms ± 0.054ms	49.501ms	49.651ms	53.522ms	57.697ms	16.69%	8.475	73.862	1.66%	0.058ms	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	[49.429ms; 49.658ms] or [-0.231%; +0.231%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	ba5b268	1773405169	paullgdc/trace_utils/pass_dynamic_header_names

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	729.381µs	730.920µs ± 0.775µs	730.882µs ± 0.384µs	731.254µs	732.051µs	732.970µs	737.147µs	0.86%	2.823	19.804	0.11%	0.055µs	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	[730.812µs; 731.027µs] or [-0.015%; +0.015%]	None	None	None

Baseline

Omitted due to size.

[github-actions]

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

• Base Branch: origin/main
• PR Branch: origin/paullgdc/trace_utils/pass_dynamic_header_names

Summary by Rule

Rule	Base Branch	PR Branch	Change
unwrap_used	11	11	No change (0%)
Total	11	11	No change (0%)

Annotation Counts by File

File	Base Branch	PR Branch	Change
libdd-common/src/lib.rs	3	3	No change (0%)
libdd-data-pipeline/src/stats_exporter.rs	1	1	No change (0%)
libdd-data-pipeline/src/trace_exporter/mod.rs	2	2	No change (0%)
libdd-trace-utils/src/send_data/mod.rs	5	5	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	28	28	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	59	59	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	9	9	No change (0%)
libdd-trace-utils	15	15	No change (0%)
Total	208	208	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]

📚 Documentation Check Results

⚠️ 1443 documentation warning(s) found

📦 libdd-common - 166 warning(s)

📦 libdd-data-pipeline - 794 warning(s)

📦 libdd-trace-utils - 483 warning(s)

---

Updated: 2026-03-13 12:34:15 UTC | Commit: 50088bc | missing-docs job results

[github-actions]

🔒 Cargo Deny Results

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

📦 libdd-common - ✅ No issues

📦 libdd-data-pipeline - 1 error(s)

Show output

error[vulnerability]: Denial of Service via Stack Exhaustion
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:293:1
    │
293 │ 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 v2.0.0

advisories FAILED, bans ok, sources ok

📦 libdd-trace-utils - ✅ No issues

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Updated: 2026-03-13 12:37:21 UTC | Commit: 50088bc | dependency-check job results