refactor(trace-utils)!: change header name type to accept dynamic values by paullegranddc · Pull Request #1722 · DataDog/libdatadog

paullegranddc · 2026-03-12T16:54:09Z

What does this PR do?

Change the header map type passed throughout data-pipeline and trace utils from Hashmap<&'static str, String> to http::HeaderMap`

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

In fact it should cause less allocations as header values are now http::HeaderValue instead of String. The static ones don't require an allocation and clone becomes a shallow copy.

Motivation

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

Additional Notes

The first iteration I went through created a Hashmap<http::HeaderName, String> but this does not work, as http::HeaderName implement Borrow but does not hash like the &str it represents (see hyperium/http#824)

How to test the change?

Describe here in detail how the change can be validated.

datadog-prod-us1-4 · 2026-03-12T17:05:34Z

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

_{This comment will be updated automatically if new data arrives.

🔗 Commit SHA: 13ba4a8 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!}

pr-commenter · 2026-03-12T17:10:04Z

Benchmarks

Comparison

Benchmark execution time: 2026-03-17 18:23:21

Comparing candidate commit 13ba4a8 in PR branch paullgdc/trace_utils/pass_dynamic_header_names with baseline commit 5426a8b in branch main.

Found 14 performance improvements and 6 performance regressions! Performance is the same for 38 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:concentrator/add_spans_to_concentrator

🟩 execution_time [-2.279ms; -2.274ms] or [-17.554%; -17.514%]

scenario:credit_card/is_card_number/ 378282246310005

🟩 execution_time [-5.680µs; -5.610µs] or [-7.721%; -7.626%]
🟩 throughput [+1123089.912op/s; +1136102.299op/s] or [+8.262%; +8.358%]

scenario:credit_card/is_card_number/378282246310005

🟩 execution_time [-5.934µs; -5.858µs] or [-8.405%; -8.297%]
🟩 throughput [+1282791.908op/s; +1298099.579op/s] or [+9.056%; +9.165%]

scenario:credit_card/is_card_number/37828224631000521389798

🟩 execution_time [-7.129µs; -7.094µs] or [-13.492%; -13.425%]
🟩 throughput [+2935263.413op/s; +2950949.801op/s] or [+15.511%; +15.593%]

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

🟩 execution_time [-4.987µs; -4.942µs] or [-8.540%; -8.464%]
🟩 throughput [+1584681.063op/s; +1597798.758op/s] or [+9.253%; +9.329%]

scenario:credit_card/is_card_number_no_luhn/378282246310005

🟩 execution_time [-5.319µs; -5.272µs] or [-9.581%; -9.498%]
🟩 throughput [+1891894.919op/s; +1907099.300op/s] or [+10.502%; +10.587%]

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

🟩 execution_time [-7.225µs; -7.179µs] or [-13.645%; -13.558%]
🟩 throughput [+2963592.987op/s; +2982173.627op/s] or [+15.693%; +15.792%]

scenario:normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...

🟥 execution_time [+19.286µs; +19.450µs] or [+10.337%; +10.426%]
🟥 throughput [-506057.161op/s; -502105.550op/s] or [-9.441%; -9.368%]

scenario:normalization/normalize_name/normalize_name/bad-name

🟥 execution_time [+784.727ns; +823.625ns] or [+4.372%; +4.589%]
🟥 throughput [-2441791.007op/s; -2331885.876op/s] or [-4.382%; -4.185%]

scenario:normalization/normalize_name/normalize_name/good

🟥 execution_time [+429.080ns; +454.401ns] or [+4.163%; +4.409%]

scenario:profile_add_sample_frames_x1000

🟩 execution_time [-195.918µs; -194.127µs] or [-4.513%; -4.472%]

scenario:sql/obfuscate_sql_string

🟥 execution_time [+3.489µs; +3.555µs] or [+4.035%; +4.111%]

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	`13ba4a8`	1773770760	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	3.898µs	3.914µs ± 0.002µs	3.914µs ± 0.001µs	3.915µs	3.917µs	3.919µs	3.921µs	0.18%	-1.831	15.996	0.05%	0.000µs	1	200
credit_card/is_card_number/	throughput	255026008.660op/s	255471833.349op/s ± 137397.668op/s	255475065.642op/s ± 80671.483op/s	255556401.298op/s	255641069.133op/s	255701042.389op/s	256523657.656op/s	0.41%	1.855	16.193	0.05%	9715.482op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	79.983µs	80.141µs ± 0.057µs	80.138µs ± 0.030µs	80.168µs	80.218µs	80.289µs	80.570µs	0.54%	2.100	14.827	0.07%	0.004µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12411620.573op/s	12478019.580op/s ± 8891.845op/s	12478455.323op/s ± 4711.217op/s	12483190.136op/s	12490748.914op/s	12494550.907op/s	12502640.558op/s	0.19%	-2.074	14.600	0.07%	628.748op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	67.827µs	67.923µs ± 0.069µs	67.910µs ± 0.032µs	67.950µs	68.025µs	68.059µs	68.582µs	0.99%	4.737	41.175	0.10%	0.005µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	14581035.137op/s	14722640.408op/s ± 14795.579op/s	14725407.714op/s ± 6964.447op/s	14731108.865op/s	14737298.175op/s	14742317.014op/s	14743423.586op/s	0.12%	-4.675	40.362	0.10%	1046.205op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.895µs	3.915µs ± 0.003µs	3.915µs ± 0.002µs	3.917µs	3.919µs	3.921µs	3.927µs	0.29%	-1.379	13.642	0.07%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254653328.613op/s	255400354.117op/s ± 181081.215op/s	255397113.277op/s ± 106980.782op/s	255509830.769op/s	255630214.201op/s	255689696.101op/s	256716038.201op/s	0.52%	1.408	13.838	0.07%	12804.375op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	64.611µs	64.705µs ± 0.061µs	64.685µs ± 0.034µs	64.740µs	64.819µs	64.867µs	64.929µs	0.38%	1.031	0.783	0.09%	0.004µs	1	200
credit_card/is_card_number/378282246310005	throughput	15401528.786op/s	15454859.960op/s ± 14660.288op/s	15459507.691op/s ± 8025.654op/s	15465449.027op/s	15472439.099op/s	15475571.935op/s	15477288.627op/s	0.12%	-1.026	0.767	0.09%	1036.639op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	45.467µs	45.730µs ± 0.105µs	45.733µs ± 0.083µs	45.811µs	45.901µs	45.938µs	45.985µs	0.55%	-0.093	-0.531	0.23%	0.007µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	21746083.396op/s	21867451.582op/s ± 50209.142op/s	21865814.987op/s ± 39843.245op/s	21906311.208op/s	21957375.282op/s	21978183.611op/s	21994156.986op/s	0.59%	0.103	-0.527	0.23%	3550.323op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.535µs	6.631µs ± 0.013µs	6.635µs ± 0.003µs	6.638µs	6.644µs	6.649µs	6.651µs	0.24%	-2.807	14.312	0.20%	0.001µs	1	200
credit_card/is_card_number/x371413321323331	throughput	150354542.180op/s	150812117.414op/s ± 299654.712op/s	150719140.273op/s ± 79478.844op/s	150896282.654op/s	151335192.093op/s	151800711.618op/s	153026465.477op/s	1.53%	2.858	14.814	0.20%	21188.788op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.898µs	3.915µs ± 0.003µs	3.915µs ± 0.001µs	3.917µs	3.921µs	3.923µs	3.923µs	0.21%	-0.150	5.183	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254919141.245op/s	255424101.160op/s ± 194101.686op/s	255460352.574op/s ± 97211.768op/s	255531155.641op/s	255653842.268op/s	255698427.637op/s	256544314.943op/s	0.42%	0.166	5.260	0.08%	13725.062op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	65.384µs	65.703µs ± 0.058µs	65.695µs ± 0.030µs	65.729µs	65.811µs	65.861µs	65.888µs	0.29%	-0.059	4.618	0.09%	0.004µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15177351.820op/s	15219967.129op/s ± 13368.684op/s	15221826.786op/s ± 6922.226op/s	15227751.931op/s	15235972.502op/s	15240369.435op/s	15294281.468op/s	0.48%	0.077	4.689	0.09%	945.309op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	53.358µs	53.425µs ± 0.028µs	53.423µs ± 0.018µs	53.441µs	53.474µs	53.507µs	53.526µs	0.19%	0.791	0.991	0.05%	0.002µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18682537.283op/s	18717727.513op/s ± 9916.225op/s	18718669.255op/s ± 6160.709op/s	18724376.923op/s	18730712.473op/s	18736101.764op/s	18741386.314op/s	0.12%	-0.787	0.983	0.05%	701.183op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.896µs	3.915µs ± 0.002µs	3.915µs ± 0.001µs	3.916µs	3.918µs	3.920µs	3.921µs	0.15%	-2.536	22.340	0.06%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255041639.166op/s	255429569.501op/s ± 147737.379op/s	255427969.314op/s ± 73861.739op/s	255505103.716op/s	255599544.522op/s	255689819.776op/s	256658866.112op/s	0.48%	2.567	22.642	0.06%	10446.610op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	50.157µs	50.218µs ± 0.032µs	50.213µs ± 0.023µs	50.239µs	50.275µs	50.302µs	50.336µs	0.25%	0.680	0.321	0.06%	0.002µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	19866335.323op/s	19913308.947op/s ± 12825.171op/s	19915107.870op/s ± 9160.981op/s	19923714.588op/s	19930274.533op/s	19935552.546op/s	19937503.900op/s	0.11%	-0.676	0.312	0.06%	906.877op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	45.461µs	45.751µs ± 0.099µs	45.755µs ± 0.073µs	45.830µs	45.894µs	45.944µs	45.973µs	0.48%	-0.246	-0.326	0.22%	0.007µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	21751893.532op/s	21857537.680op/s ± 47267.151op/s	21855571.994op/s ± 34762.629op/s	21889029.768op/s	21930972.945op/s	21964173.828op/s	21997084.131op/s	0.65%	0.256	-0.314	0.22%	3342.292op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.596µs	6.630µs ± 0.011µs	6.635µs ± 0.006µs	6.639µs	6.643µs	6.645µs	6.648µs	0.20%	-0.827	-0.208	0.17%	0.001µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	150417313.411op/s	150823290.596op/s ± 252852.270op/s	150722203.907op/s ± 137373.762op/s	151029809.537op/s	151289997.211op/s	151467158.478op/s	151599287.142op/s	0.58%	0.833	-0.194	0.17%	17879.355op/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 [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number/	throughput	[255452791.354op/s; 255490875.344op/s] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[80.133µs; 80.149µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12476787.256op/s; 12479251.905op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[67.913µs; 67.932µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14720589.883op/s; 14724690.933op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.915µs; 3.916µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255375258.002op/s; 255425450.232op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[64.696µs; 64.713µs] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[15452828.185op/s; 15456891.735op/s] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[45.716µs; 45.745µs] or [-0.032%; +0.032%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[21860493.078op/s; 21874410.086op/s] or [-0.032%; +0.032%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.629µs; 6.633µs] or [-0.027%; +0.027%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[150770588.153op/s; 150853646.675op/s] or [-0.028%; +0.028%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.915µs; 3.915µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255397200.533op/s; 255451001.787op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[65.695µs; 65.711µs] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15218114.358op/s; 15221819.900op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[53.421µs; 53.429µs] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18716353.219op/s; 18719101.806op/s] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.915µs; 3.915µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255409094.521op/s; 255450044.481op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[50.213µs; 50.222µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[19911531.502op/s; 19915086.392op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[45.737µs; 45.765µs] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[21850986.908op/s; 21864088.453op/s] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.629µs; 6.632µs] or [-0.023%; +0.023%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[150788247.703op/s; 150858333.489op/s] or [-0.023%; +0.023%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`13ba4a8`	1773770760	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	4.143ms	4.146ms ± 0.006ms	4.146ms ± 0.001ms	4.147ms	4.149ms	4.152ms	4.229ms	2.02%	12.271	161.887	0.15%	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	[4.146ms; 4.147ms] or [-0.021%; +0.021%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`13ba4a8`	1773770760	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	89.716µs	89.995µs ± 0.192µs	89.973µs ± 0.080µs	90.052µs	90.228µs	90.589µs	91.731µs	1.95%	4.800	36.207	0.21%	0.014µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[89.968µs; 90.021µs] or [-0.030%; +0.030%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`13ba4a8`	1773770760	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	735.879µs	737.146µs ± 0.719µs	737.083µs ± 0.413µs	737.480µs	738.184µs	738.697µs	743.136µs	0.82%	3.118	22.659	0.10%	0.051µs	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	[737.046µs; 737.246µs] or [-0.014%; +0.014%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`13ba4a8`	1773770760	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	493.106µs	494.044µs ± 0.468µs	494.031µs ± 0.241µs	494.269µs	494.558µs	494.961µs	498.503µs	0.91%	4.323	39.347	0.09%	0.033µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	2006004.193op/s	2024112.511op/s ± 1911.466op/s	2024164.476op/s ± 988.373op/s	2025170.507op/s	2026399.140op/s	2027037.781op/s	2027960.391op/s	0.19%	-4.259	38.566	0.09%	135.161op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	370.059µs	370.769µs ± 0.448µs	370.711µs ± 0.200µs	370.941µs	371.209µs	371.632µs	375.656µs	1.33%	6.622	69.300	0.12%	0.032µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2662008.692op/s	2697097.553op/s ± 3230.354op/s	2697516.244op/s ± 1452.942op/s	2698757.237op/s	2700181.032op/s	2701067.011op/s	2702268.942op/s	0.18%	-6.523	67.866	0.12%	228.421op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	167.279µs	167.597µs ± 0.159µs	167.582µs ± 0.103µs	167.686µs	167.862µs	168.077µs	168.213µs	0.38%	0.837	1.097	0.09%	0.011µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5944855.246op/s	5966686.649op/s ± 5643.180op/s	5967223.016op/s ± 3664.465op/s	5970836.283op/s	5974252.680op/s	5976502.319op/s	5978042.511op/s	0.18%	-0.830	1.078	0.09%	399.033op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.200µs	37.287µs ± 0.036µs	37.285µs ± 0.023µs	37.309µs	37.351µs	37.374µs	37.379µs	0.25%	0.345	-0.046	0.10%	0.003µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26753191.734op/s	26819064.007op/s ± 25701.235op/s	26820377.934op/s ± 16853.713op/s	26835231.914op/s	26856722.954op/s	26872212.970op/s	26881486.641op/s	0.23%	-0.340	-0.051	0.10%	1817.352op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.423µs	45.673µs ± 0.127µs	45.677µs ± 0.055µs	45.724µs	45.773µs	45.820µs	47.114µs	3.15%	7.315	82.453	0.28%	0.009µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21225013.443op/s	21895106.744op/s ± 59472.848op/s	21893090.687op/s ± 26342.954op/s	21923027.036op/s	21960075.047op/s	21974168.798op/s	22015477.859op/s	0.56%	-7.062	78.764	0.27%	4205.365op/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	[493.979µs; 494.109µs] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2023847.600op/s; 2024377.422op/s] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[370.707µs; 370.832µs] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2696649.857op/s; 2697545.249op/s] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[167.575µs; 167.619µs] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5965904.558op/s; 5967468.739op/s] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.282µs; 37.292µs] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26815502.063op/s; 26822625.951op/s] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.655µs; 45.690µs] or [-0.038%; +0.038%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21886864.379op/s; 21903349.108op/s] or [-0.038%; +0.038%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`13ba4a8`	1773770760	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	48.652ms	49.006ms ± 1.126ms	48.835ms ± 0.057ms	48.922ms	49.089ms	57.548ms	58.807ms	20.42%	7.757	59.756	2.29%	0.080ms	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	[48.850ms; 49.162ms] or [-0.319%; +0.319%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`13ba4a8`	1773770760	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	10.682ms	10.707ms ± 0.013ms	10.706ms ± 0.008ms	10.715ms	10.728ms	10.746ms	10.760ms	0.50%	0.900	1.615	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	[10.706ms; 10.709ms] or [-0.016%; +0.016%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`13ba4a8`	1773770760	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	190.804ns	193.056ns ± 1.905ns	192.912ns ± 1.326ns	193.868ns	196.840ns	198.696ns	201.423ns	4.41%	1.332	2.482	0.98%	0.135ns	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	[192.792ns; 193.320ns] or [-0.137%; +0.137%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`13ba4a8`	1773770760	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	3.411ms	3.455ms ± 0.030ms	3.446ms ± 0.009ms	3.459ms	3.531ms	3.557ms	3.565ms	3.47%	1.984	3.600	0.85%	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	[3.451ms; 3.460ms] or [-0.119%; +0.119%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`13ba4a8`	1773770760	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	1.259µs	3.219µs ± 1.420µs	3.001µs ± 0.027µs	3.027µs	3.660µs	13.983µs	14.736µs	391.01%	7.323	54.857	44.00%	0.100µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.022µs; 3.416µs] or [-6.113%; +6.113%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`13ba4a8`	1773770760	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	246.384ns	256.676ns ± 13.337ns	250.634ns ± 3.164ns	258.958ns	285.064ns	300.701ns	302.327ns	20.62%	1.813	2.584	5.18%	0.943ns	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	[254.828ns; 258.524ns] or [-0.720%; +0.720%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`13ba4a8`	1773770760	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	144.725µs	146.598µs ± 1.666µs	146.359µs ± 0.468µs	146.824µs	148.312µs	152.343µs	162.228µs	10.84%	5.631	44.167	1.13%	0.118µs	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	[146.367µs; 146.829µs] or [-0.157%; +0.157%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`13ba4a8`	1773770760	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	13.898ms	13.969ms ± 0.034ms	13.963ms ± 0.017ms	13.985ms	14.034ms	14.092ms	14.123ms	1.15%	1.348	3.184	0.25%	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	[13.964ms; 13.974ms] or [-0.034%; +0.034%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`13ba4a8`	1773770760	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	4.987µs	5.047µs ± 0.038µs	5.026µs ± 0.022µs	5.086µs	5.105µs	5.109µs	5.111µs	1.69%	0.309	-1.532	0.75%	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	[5.042µs; 5.052µs] or [-0.104%; +0.104%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`13ba4a8`	1773770760	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	32.146µs	33.112µs ± 1.422µs	32.235µs ± 0.048µs	34.185µs	35.793µs	35.841µs	36.584µs	13.49%	1.080	-0.639	4.28%	0.101µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[32.915µs; 33.310µs] or [-0.595%; +0.595%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`13ba4a8`	1773770760	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	204.776µs	205.934µs ± 0.567µs	205.884µs ± 0.319µs	206.208µs	206.841µs	207.131µs	209.521µs	1.77%	1.435	6.961	0.27%	0.040µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4772782.652op/s	4855959.957op/s ± 13309.247op/s	4857114.203op/s ± 7510.569op/s	4864150.680op/s	4874950.156op/s	4879870.045op/s	4883390.572op/s	0.54%	-1.379	6.567	0.27%	941.106op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.590µs	18.752µs ± 0.137µs	18.697µs ± 0.052µs	18.819µs	19.022µs	19.219µs	19.329µs	3.38%	1.680	2.903	0.73%	0.010µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	51736799.991op/s	53330884.368op/s ± 384310.487op/s	53484819.308op/s ± 150214.825op/s	53603446.256op/s	53666987.994op/s	53770883.233op/s	53793514.052op/s	0.58%	-1.636	2.695	0.72%	27174.855op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.674µs	10.749µs ± 0.045µs	10.739µs ± 0.025µs	10.766µs	10.827µs	10.927µs	10.944µs	1.91%	1.439	3.280	0.42%	0.003µs	1	200
normalization/normalize_name/normalize_name/good	throughput	91375734.929op/s	93037798.372op/s ± 384954.320op/s	93116587.299op/s ± 216658.273op/s	93294760.180op/s	93509592.023op/s	93655738.857op/s	93686596.166op/s	0.61%	-1.400	3.108	0.41%	27220.381op/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	[205.856µs; 206.013µs] or [-0.038%; +0.038%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4854115.423op/s; 4857804.491op/s] or [-0.038%; +0.038%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.733µs; 18.771µs] or [-0.101%; +0.101%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[53277622.631op/s; 53384146.106op/s] or [-0.100%; +0.100%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.742µs; 10.755µs] or [-0.058%; +0.058%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[92984447.405op/s; 93091149.338op/s] or [-0.057%; +0.057%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`13ba4a8`	1773770760	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	2.311µs	2.397µs ± 0.021µs	2.396µs ± 0.006µs	2.407µs	2.424µs	2.431µs	2.437µs	1.73%	-1.852	4.790	0.85%	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	[2.394µs; 2.399µs] or [-0.119%; +0.119%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`13ba4a8`	1773770760	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	164.823µs	165.557µs ± 0.320µs	165.494µs ± 0.156µs	165.694µs	166.060µs	166.687µs	167.843µs	1.42%	2.621	13.747	0.19%	0.023µs	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	[165.513µs; 165.601µs] or [-0.027%; +0.027%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`13ba4a8`	1773770760	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	17.900µs	26.251µs ± 9.925µs	18.504µs ± 0.377µs	34.842µs	43.903µs	46.897µs	63.676µs	244.13%	0.806	-0.380	37.71%	0.702µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.875µs; 27.626µs] or [-5.240%; +5.240%]	None	None	None

Baseline

Omitted due to size.

github-actions · 2026-03-12T17:10:34Z

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 · 2026-03-12T17:15:41Z

📚 Documentation Check Results

⚠️ 1447 documentation warning(s) found

📦 `libdd-common` - 166 warning(s)

📦 `libdd-data-pipeline` - 796 warning(s)

📦 `libdd-trace-utils` - 485 warning(s)

Updated: 2026-03-17 19:19:20 UTC | Commit: 473eb47 | missing-docs job results

github-actions · 2026-03-12T17:18:36Z

🔒 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 v2.0.1

advisories FAILED, bans ok, sources ok

📦 `libdd-trace-utils` - ✅ No issues

Updated: 2026-03-17 19:21:15 UTC | Commit: 473eb47 | dependency-check job results

codecov-commenter · 2026-03-17T15:53:24Z

Codecov Report

❌ Patch coverage is 91.94631% with 12 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.51%. Comparing base (fc16a5e) to head (13ba4a8).
⚠️ Report is 35 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1722      +/-   ##
==========================================
+ Coverage   71.25%   71.51%   +0.26%     
==========================================
  Files         429      430       +1     
  Lines       63547    64075     +528     
==========================================
+ Hits        45279    45824     +545     
+ Misses      18268    18251      -17

Components	Coverage Δ
libdd-crashtracker	`63.97% <ø> (+1.54%)`	⬆️
libdd-crashtracker-ffi	`18.19% <ø> (+1.01%)`	⬆️
libdd-alloc	`98.77% <ø> (ø)`
libdd-data-pipeline	`87.92% <100.00%> (-0.41%)`	⬇️
libdd-data-pipeline-ffi	`74.85% <ø> (-2.10%)`	⬇️
libdd-common	`79.73% <ø> (ø)`
libdd-common-ffi	`73.40% <ø> (ø)`
libdd-telemetry	`62.48% <ø> (ø)`
libdd-telemetry-ffi	`16.75% <ø> (ø)`
libdd-dogstatsd-client	`82.64% <ø> (ø)`
datadog-ipc	`80.35% <ø> (ø)`
libdd-profiling	`81.60% <ø> (+<0.01%)`	⬆️
libdd-profiling-ffi	`63.65% <ø> (ø)`
datadog-sidecar	`33.10% <ø> (+0.49%)`	⬆️
datdog-sidecar-ffi	`10.79% <ø> (+2.44%)`	⬆️
spawn-worker	`54.69% <ø> (ø)`
libdd-tinybytes	`93.16% <ø> (ø)`
libdd-trace-normalization	`81.71% <ø> (ø)`
libdd-trace-obfuscation	`91.80% <ø> (ø)`
libdd-trace-protobuf	`68.25% <ø> (ø)`
libdd-trace-utils	`88.95% <90.47%> (-0.13%)`	⬇️
datadog-tracer-flare	`90.46% <ø> (+1.50%)`	⬆️
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 · 2026-03-17T16:20:14Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.63 MB	8.63 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	100.29 MB	100.23 MB	--.06% (-61.77 KB) 💪

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.21 MB	11.22 MB	+0% (+808 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	116.96 MB	116.86 MB	--.08% (-100.28 KB) 💪

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.17 MB	27.16 MB	--.03% (-10.00 KB) 💪
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	76.61 KB	76.61 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	186.07 MB	185.99 MB	--.04% (-80.00 KB) 💪
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	917.15 MB	917.09 MB	-0% (-62.48 KB) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.94 MB	9.93 MB	--.02% (-2.50 KB) 💪
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	76.61 KB	76.61 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	24.77 MB	24.76 MB	--.06% (-16.00 KB) 💪
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	51.44 MB	51.42 MB	--.03% (-18.55 KB) 💪

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	22.97 MB	22.96 MB	--.04% (-10.00 KB) 💪
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	77.80 KB	77.80 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	190.23 MB	190.14 MB	--.04% (-88.00 KB) 💪
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	900.81 MB	900.75 MB	-0% (-57.97 KB) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	7.53 MB	7.53 MB	--.01% (-1.50 KB) 💪
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	77.80 KB	77.80 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	26.52 MB	26.50 MB	--.08% (-24.00 KB) 💪
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	47.06 MB	47.04 MB	--.03% (-16.60 KB) 💪

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	87.50 MB	87.45 MB	--.06% (-56.67 KB) 💪
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	10.21 MB	10.20 MB	--.03% (-4.00 KB) 💪

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	109.83 MB	109.74 MB	--.07% (-88.28 KB) 💪
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.95 MB	11.95 MB	--.02% (-3.49 KB) 💪

VianneyRuhlmann

LGTM

VianneyRuhlmann · 2026-03-17T17:51:17Z

libdd-trace-utils/src/send_data/mod.rs

+                #[allow(clippy::unwrap_used)]
+                headers.insert(
+                    DATADOG_TRACE_COUNT,
+                    HeaderValue::try_from(chunks.to_string()).unwrap(),


Can't you use .into()

yes I should

VianneyRuhlmann · 2026-03-17T17:51:36Z

libdd-trace-utils/src/send_data/mod.rs

                let mut headers = self.headers.clone();
-                headers.insert(DATADOG_TRACE_COUNT_STR, chunks.to_string());
-                headers.insert(CONTENT_TYPE.as_str(), APPLICATION_MSGPACK_STR.to_string());
+                headers.insert(DATADOG_TRACE_COUNT, chunks.into());


should you also reserve here ?

# Release proposal for libdd-crashtracker and its dependencies This PR contains version bumps based on public API changes and commits since last release. ## libdd-common **Next version:** `3.0.0` **Semver bump:** `major` **Tag:** `libdd-common-v3.0.0` ### Commits - refactor(trace-utils)!: change header name type to accept dynamic values (#1722) ## libdd-crashtracker **Next version:** `2.0.0` **Semver bump:** `major` **Tag:** `libdd-crashtracker-v2.0.0` ### Commits - chore(crashtracking): rename target triple to runtime platform (#1747) - chore(ci): give libdd-libunwind-sys its own version (#1743) - chore(crashtracking): add tag for target triple (#1741) - refactor(libdd-crashtracker)!: avoid leaking Endpoint through the public API (#1705) - chore(cargo): bump to 29.0.0 (#1702) - fix(crashtracking): use libunwind to unwind frames (#1663) - chore(deps): bump blazesym to 0.2.3 and blazesym-c to 0.1.7 (#1654) - chore(ci): fix crashtracker receiver binary rpath setting (#1652) - chore(crashtracking): emit a best effort stacktrace for Mac (#1645) - chore(crashtracker): use default-features=false for aws-lc-sys (#1625) - feat(crashtracking): report unhandled exceptions (#1596) - refactor(ddcommon)!: remove direct dependency on hyper client everywhere in common (#1604) - feat(crashtracking): include `Kind` in crash ping and clarify requirements (#1595) - fix(crashtracking): add process_tags to application field (#1576) - ci: update nightly in CI to 2026-02-08 (#1539) - fix(telemetry)!: fix logs payload format [APMSP-2590] (#1498) - chore(crashtracking): bump os_info crate to 3.14 (#1507) - Don't bail (#1494) - feat(crashtracking)!: emit crashing thread name in crash report for linux crashes (#1485) - test(crashtracking): add minimal LD preload test for crashtracker collector (#1428) - chore: release libddcommon-v1.1.0 (#1456) - chore: prepare libdd-telemetry-v2.0.0 (#1457) - [crashtracker] Retrieve panic message when crashing (#1361) - fix(sidecar): AWS lambda also can return EACCESS for shm_open (#1446) - chore(crashtracking): add `is_crash_debug` tag to crashtracker receiver debug logs (#1445) - [crashtracker] Log errors in crashtracker receiver (#1395) - chore: add changelog for every published crate (#1396) - Fix CI (#1389) - [crashtracker] Set OS info in the crash info builder when receiving report (#1388) - crashtracker: support cxx bindings for crashinfo (#1379) [APMSP-2590]: https://datadoghq.atlassian.net/browse/APMSP-2590?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ --------- Co-authored-by: dd-octo-sts[bot] <200755185+dd-octo-sts[bot]@users.noreply.github.com>

# Release proposal for libdd-common and its dependencies This PR contains version bumps based on public API changes and commits since last release. ## libdd-common **Next version:** `3.0.0` **Semver bump:** `major` **Tag:** `libdd-common-v3.0.0` ### Commits - refactor(trace-utils)!: change header name type to accept dynamic values (#1722) Co-authored-by: dd-octo-sts[bot] <200755185+dd-octo-sts[bot]@users.noreply.github.com>

…-unprocessed * 'main' of github.com:DataDog/libdatadog: feat(sidecar): add thread mode as fallback connection for restricted environments (#1447) feat(profiling-ffi): ProfilesDictionary_insert_strs (#1764) chore(release): merge release branch to main (#1760) fix(libdd-crashtracker-ffi)!: add missing fields for endpoint configuration (#1758) ci: prevent running macos tests on release branches (#1765) chore(datadog-tracer-flare): remove unnecessary features/deps (#1761) fix(profiling-ffi): Windows extern statics need __declspec(dllimport) (#1468) feat(profiling): thread id/name as well-known strs (#1757) ci: switch to ephemeral branches (#1731) chore(crashtracker): use weaker mem ordering for OP_COUNTERS (#1744) refactor(trace-utils)!: change header name type to accept dynamic values (#1722)

# Release proposal for libdd-data-pipeline and its dependencies This PR contains version bumps based on public API changes and commits since last release. ## libdd-common **Next version:** `3.0.1` **Semver bump:** `patch` **Tag:** `libdd-common-v3.0.1` ### Commits - chore(build): update reqwest and quinn-proto dependency for dependabot alert (#1774) - chore(build): ekump/APMSP-2718 update aws-lc dependencies (#1751) ## libdd-trace-protobuf **Next version:** `3.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-protobuf-v3.0.0` ### Commits - fix(trace-stats): rename wrongly cased stats fields (#1780) - feat(rc)!: add process_tags to remote config Target (#1586) ## libdd-telemetry **Next version:** `3.1.0` **Semver bump:** `minor` **Tag:** `libdd-telemetry-v3.1.0` ### Commits - refactor(sidecar)!: Refactor tarpc away (#1742) ## libdd-trace-utils **Next version:** `3.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-utils-v3.0.0` ### Commits - fix(trace-stats): rename wrongly cased stats fields (#1780) - refactor(trace-utils)!: change header name type to accept dynamic values (#1722) ## libdd-data-pipeline **Next version:** `3.0.0` **Semver bump:** `major` **Tag:** `libdd-data-pipeline-v3.0.0` ### Commits - feat(agents)!: retrieve container tags hash from /info endpoint (#1700) - refactor(trace-utils)!: change header name type to accept dynamic values (#1722) --------- Co-authored-by: dd-octo-sts[bot] <200755185+dd-octo-sts[bot]@users.noreply.github.com>

paullegranddc requested review from a team as code owners March 12, 2026 16:54

github-actions bot added mini-agent common data-pipeline labels Mar 12, 2026

paullegranddc force-pushed the paullgdc/trace_utils/pass_dynamic_header_names branch from 55a18b2 to bac2182 Compare March 12, 2026 17:10

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

8745975

paullegranddc force-pushed the paullgdc/trace_utils/pass_dynamic_header_names branch from bac2182 to 8745975 Compare March 12, 2026 17:30

paullegranddc added 3 commits March 12, 2026 21:08

fix: tests

62d3862

fix: use test get as headername don't hash like strings

ba5b268

fix: use http::HeaderMap

506f273

perf: reserve header names capacity

6b60d8b

fix: cleanup header value conversion

59e4058

bantonsson approved these changes Mar 17, 2026

View reviewed changes

VianneyRuhlmann approved these changes Mar 17, 2026

View reviewed changes

fix: remove unnecessary unwrap

13ba4a8

paullegranddc merged commit 4dd532f into main Mar 17, 2026
54 of 55 checks passed

paullegranddc deleted the paullgdc/trace_utils/pass_dynamic_header_names branch March 17, 2026 22:39

dd-octo-sts bot mentioned this pull request Mar 18, 2026

chore(release): proposal for libdd-crashtracker #1756

Merged

dd-octo-sts bot mentioned this pull request Mar 18, 2026

chore(release): proposal for libdd-common #1759

Merged

dd-octo-sts bot mentioned this pull request Mar 23, 2026

chore(release): proposal for libdd-data-pipeline #1781

Merged

Conversation

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What does this PR do?

Motivation

Additional Notes

How to test the change?

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Benchmarks

Comparison

Explanation

More details about the CI and significant changes

scenario:concentrator/add_spans_to_concentrator

scenario:credit_card/is_card_number/ 378282246310005

scenario:credit_card/is_card_number/378282246310005

scenario:credit_card/is_card_number/37828224631000521389798

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

scenario:credit_card/is_card_number_no_luhn/378282246310005

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

scenario:normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...

scenario:normalization/normalize_name/normalize_name/bad-name

scenario:normalization/normalize_name/normalize_name/good

scenario:profile_add_sample_frames_x1000

scenario:sql/obfuscate_sql_string

Candidate

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Baseline

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Clippy Allow Annotation Report

Summary by Rule

Annotation Counts by File

Annotation Stats by Crate

About This Report

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📚 Documentation Check Results

📦 libdd-common - 166 warning(s)

📦 libdd-data-pipeline - 796 warning(s)

📦 libdd-trace-utils - 485 warning(s)

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🔒 Cargo Deny Results

📦 libdd-common - ✅ No issues

📦 libdd-data-pipeline - 1 error(s)

📦 libdd-trace-utils - ✅ No issues

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Codecov Report

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Artifact Size Benchmark Report

paullegranddc commented Mar 12, 2026 •

edited

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📦 `libdd-common` - 166 warning(s)

📦 `libdd-data-pipeline` - 796 warning(s)

📦 `libdd-trace-utils` - 485 warning(s)

github-actions bot commented Mar 12, 2026 •

edited

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📦 `libdd-common` - ✅ No issues

📦 `libdd-data-pipeline` - 1 error(s)

📦 `libdd-trace-utils` - ✅ No issues

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