clippy annotation reporter

[ekump]

What does this PR do?

Adds a github action that scans the repo for usages of clippy allow annotations and reports changes across all crates in the repo.

If the action fails, it should not fail CI and block PRs being merged. If for any reason this action causes issues, feel free to disable it. This report shouldn't impede anyone's work in libdatadog.

Motivation

We want to reduce the chance of libdatadog panicking as much as possible. #915 enabled clippy warnings for panic macros in all crates. This PR will start reporting the number of annotations to bring attention to new additions of allow annotations or PRs that reduce the use of the annotations.

Additional Notes

This code is not part of the libdatadog workspace. It's an independent crate. It's included in this repo as it is expected we will need to make tweaks and fix bugs. Once we feel it is stable it should be moved to a separate repo and treated like any other github action we use.

allow annotations from unit tests for the reporter are currently showing up in the report. The option to filter certain file paths or crates will be added in a follow up PR.

Apologies for the size of the PR. I didn't anticipate it being this large.

Here is what the report looks like when crates have been changed:

How to test the change?

Unit tests were added where possible. I verified the report by adding extra allows and observing changes in the report.

[pr-commenter[bot]]

Benchmarks

Comparison

Benchmark execution time: 2025-11-19 20:57:35

Comparing candidate commit c650eff4 in PR branch ekump/clippy-annotation-action with baseline commit a3f9e862 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 55 metrics, 2 unstable metrics.

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	c650eff4	1763584966	ekump/clippy-annotation-action

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	189.511ns	192.719ns ± 2.621ns	192.158ns ± 1.614ns	193.935ns	197.129ns	200.238ns	206.181ns	7.30%	1.583	4.106	1.36%	0.185ns	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	[192.356ns; 193.083ns] or [-0.188%; +0.188%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c650eff4	1763584966	ekump/clippy-annotation-action

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	159.305µs	160.205µs ± 0.283µs	160.188µs ± 0.174µs	160.369µs	160.627µs	161.025µs	161.393µs	0.75%	0.754	2.735	0.18%	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	[160.166µs; 160.245µs] or [-0.025%; +0.025%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c650eff4	1763584966	ekump/clippy-annotation-action

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	205.730µs	206.199µs ± 0.218µs	206.178µs ± 0.150µs	206.338µs	206.590µs	206.740µs	206.789µs	0.30%	0.429	-0.306	0.11%	0.015µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4835847.800op/s	4849683.504op/s ± 5129.527op/s	4850189.764op/s ± 3525.490op/s	4853449.439op/s	4856964.050op/s	4858316.487op/s	4860750.022op/s	0.22%	-0.424	-0.311	0.11%	362.712op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.180µs	18.268µs ± 0.060µs	18.265µs ± 0.038µs	18.301µs	18.349µs	18.500µs	18.549µs	1.56%	1.355	4.497	0.33%	0.004µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	53910553.784op/s	54742239.986op/s ± 179416.392op/s	54750515.939op/s ± 115040.157op/s	54869007.737op/s	54998621.338op/s	55003763.044op/s	55005958.208op/s	0.47%	-1.309	4.284	0.33%	12686.655op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.753µs	10.885µs ± 0.055µs	10.878µs ± 0.035µs	10.915µs	10.982µs	11.019µs	11.047µs	1.55%	0.484	0.138	0.50%	0.004µs	1	200
normalization/normalize_name/normalize_name/good	throughput	90522563.958op/s	91872028.957op/s ± 460564.031op/s	91929147.191op/s ± 296784.818op/s	92198721.482op/s	92525438.725op/s	92745352.162op/s	93000075.962op/s	1.16%	-0.456	0.112	0.50%	32566.795op/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	[206.169µs; 206.229µs] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4848972.601op/s; 4850394.407op/s] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.259µs; 18.276µs] or [-0.046%; +0.046%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[54717374.600op/s; 54767105.373op/s] or [-0.045%; +0.045%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.877µs; 10.893µs] or [-0.070%; +0.070%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[91808199.212op/s; 91935858.702op/s] or [-0.069%; +0.069%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c650eff4	1763584966	ekump/clippy-annotation-action

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	14.835ms	14.904ms ± 0.037ms	14.898ms ± 0.017ms	14.916ms	14.974ms	15.047ms	15.096ms	1.33%	2.085	6.778	0.25%	0.003ms	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	[14.899ms; 14.909ms] or [-0.034%; +0.034%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c650eff4	1763584966	ekump/clippy-annotation-action

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	3.900µs	3.915µs ± 0.003µs	3.915µs ± 0.002µs	3.917µs	3.919µs	3.922µs	3.927µs	0.29%	-0.350	4.374	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	254672644.978op/s	255409382.697op/s ± 185891.518op/s	255420845.080op/s ± 117187.851op/s	255523833.992op/s	255659128.701op/s	255749112.213op/s	256425954.120op/s	0.39%	0.364	4.419	0.07%	13144.515op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	77.884µs	79.215µs ± 0.605µs	79.181µs ± 0.374µs	79.557µs	80.155µs	80.867µs	80.935µs	2.22%	0.340	0.235	0.76%	0.043µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12355589.149op/s	12624669.110op/s ± 96229.375op/s	12629344.290op/s ± 59713.849op/s	12688616.039op/s	12782780.665op/s	12833163.468op/s	12839639.023op/s	1.67%	-0.292	0.179	0.76%	6804.444op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	71.428µs	71.747µs ± 0.452µs	71.550µs ± 0.067µs	71.812µs	72.765µs	73.958µs	74.177µs	3.67%	2.885	9.786	0.63%	0.032µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13481232.728op/s	13938430.479op/s ± 86206.338op/s	13976187.375op/s ± 13117.102op/s	13985326.945op/s	13993922.441op/s	13997566.290op/s	14000183.402op/s	0.17%	-2.821	9.315	0.62%	6095.709op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.902µs	3.915µs ± 0.003µs	3.915µs ± 0.002µs	3.917µs	3.919µs	3.921µs	3.923µs	0.20%	-0.447	3.229	0.06%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254903525.750op/s	255429057.835op/s ± 165011.705op/s	255422019.665op/s ± 112786.724op/s	255544573.394op/s	255681142.420op/s	255714823.778op/s	256306082.630op/s	0.35%	0.457	3.268	0.06%	11668.090op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	68.221µs	68.453µs ± 0.289µs	68.350µs ± 0.062µs	68.493µs	68.976µs	69.870µs	70.259µs	2.79%	3.375	13.944	0.42%	0.020µs	1	200
credit_card/is_card_number/378282246310005	throughput	14233049.237op/s	14608897.655op/s ± 60814.603op/s	14630644.892op/s ± 13169.584op/s	14640041.346op/s	14650761.355op/s	14656329.693op/s	14658272.296op/s	0.19%	-3.319	13.464	0.42%	4300.242op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	45.468µs	45.713µs ± 0.109µs	45.705µs ± 0.078µs	45.793µs	45.894µs	45.952µs	46.014µs	0.68%	0.163	-0.513	0.24%	0.008µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	21732423.456op/s	21875645.550op/s ± 52301.412op/s	21879517.588op/s ± 37315.639op/s	21915080.863op/s	21956301.687op/s	21977677.556op/s	21993319.855op/s	0.52%	-0.153	-0.519	0.24%	3698.268op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.554µs	6.619µs ± 0.018µs	6.621µs ± 0.014µs	6.635µs	6.642µs	6.647µs	6.647µs	0.39%	-0.607	-0.096	0.27%	0.001µs	1	200
credit_card/is_card_number/x371413321323331	throughput	150442628.247op/s	151082149.117op/s ± 411812.889op/s	151029004.859op/s ± 313515.263op/s	151345076.905op/s	151794069.583op/s	152080245.529op/s	152583021.944op/s	1.03%	0.620	-0.063	0.27%	29119.569op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.894µs	3.915µs ± 0.003µs	3.916µs ± 0.002µs	3.918µs	3.919µs	3.921µs	3.925µs	0.25%	-1.543	10.136	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254752454.398op/s	255396196.738op/s ± 205055.832op/s	255381413.652op/s ± 147652.780op/s	255534203.262op/s	255682658.415op/s	255742210.657op/s	256819512.976op/s	0.56%	1.567	10.319	0.08%	14499.637op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	65.570µs	65.683µs ± 0.044µs	65.684µs ± 0.029µs	65.712µs	65.756µs	65.775µs	65.793µs	0.17%	0.005	-0.458	0.07%	0.003µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15199081.141op/s	15224542.173op/s ± 10194.249op/s	15224396.409op/s ± 6732.263op/s	15231627.889op/s	15240524.235op/s	15244795.110op/s	15250933.173op/s	0.17%	-0.002	-0.458	0.07%	720.842op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	53.361µs	53.438µs ± 0.038µs	53.439µs ± 0.024µs	53.462µs	53.501µs	53.547µs	53.577µs	0.26%	0.446	0.655	0.07%	0.003µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18664884.898op/s	18713212.144op/s ± 13461.296op/s	18712752.726op/s ± 8436.526op/s	18722668.359op/s	18735090.873op/s	18738524.262op/s	18740323.314op/s	0.15%	-0.440	0.643	0.07%	951.857op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.900µs	3.915µs ± 0.003µs	3.915µs ± 0.002µs	3.917µs	3.919µs	3.921µs	3.923µs	0.20%	-0.481	3.588	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254937797.773op/s	255440779.877op/s ± 179508.996op/s	255457644.023op/s ± 115609.934op/s	255552142.969op/s	255693746.090op/s	255765783.435op/s	256428560.599op/s	0.38%	0.492	3.642	0.07%	12693.203op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	50.139µs	50.205µs ± 0.034µs	50.203µs ± 0.019µs	50.221µs	50.264µs	50.310µs	50.330µs	0.25%	0.949	1.704	0.07%	0.002µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	19868721.397op/s	19918435.373op/s ± 13416.737op/s	19919292.009op/s ± 7602.298op/s	19926939.371op/s	19937034.761op/s	19941706.923op/s	19944361.216op/s	0.13%	-0.944	1.688	0.07%	948.707op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	45.421µs	45.731µs ± 0.110µs	45.736µs ± 0.078µs	45.813µs	45.899µs	45.929µs	45.960µs	0.49%	-0.297	-0.433	0.24%	0.008µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	21758221.254op/s	21867162.810op/s ± 52810.314op/s	21864573.926op/s ± 37230.785op/s	21902571.401op/s	21956574.519op/s	21992690.345op/s	22016011.169op/s	0.69%	0.307	-0.422	0.24%	3734.253op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.542µs	6.617µs ± 0.020µs	6.619µs ± 0.013µs	6.633µs	6.642µs	6.646µs	6.652µs	0.50%	-1.089	1.476	0.30%	0.001µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	150320130.248op/s	151118770.757op/s ± 459052.000op/s	151077095.400op/s ± 293243.452op/s	151328637.199op/s	151998119.565op/s	152615407.789op/s	152868932.863op/s	1.19%	1.110	1.545	0.30%	32459.878op/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	[3.915µs; 3.916µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/	throughput	[255383619.921op/s; 255435145.474op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[79.131µs; 79.298µs] or [-0.106%; +0.106%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12611332.644op/s; 12638005.576op/s] or [-0.106%; +0.106%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[71.684µs; 71.809µs] or [-0.087%; +0.087%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13926483.109op/s; 13950377.848op/s] or [-0.086%; +0.086%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.915µs; 3.915µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255406188.800op/s; 255451926.870op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[68.413µs; 68.493µs] or [-0.059%; +0.059%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14600469.336op/s; 14617325.974op/s] or [-0.058%; +0.058%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[45.698µs; 45.728µs] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[21868397.077op/s; 21882894.023op/s] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.616µs; 6.621µs] or [-0.038%; +0.038%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[151025075.812op/s; 151139222.423op/s] or [-0.038%; +0.038%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.915µs; 3.916µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255367777.972op/s; 255424615.504op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[65.677µs; 65.690µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15223129.348op/s; 15225954.997op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[53.433µs; 53.444µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18711346.538op/s; 18715077.750op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.914µs; 3.915µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255415901.656op/s; 255465658.097op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[50.200µs; 50.209µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[19916575.943op/s; 19920294.804op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[45.716µs; 45.746µs] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[21859843.808op/s; 21874481.812op/s] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.615µs; 6.620µs] or [-0.042%; +0.042%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[151055150.564op/s; 151182390.949op/s] or [-0.042%; +0.042%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c650eff4	1763584966	ekump/clippy-annotation-action

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	145.083µs	147.113µs ± 1.508µs	147.007µs ± 0.551µs	147.547µs	148.528µs	154.164µs	160.989µs	9.51%	5.147	39.721	1.02%	0.107µs	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	[146.904µs; 147.322µs] or [-0.142%; +0.142%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c650eff4	1763584966	ekump/clippy-annotation-action

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	1.203µs	3.204µs ± 1.440µs	3.000µs ± 0.026µs	3.024µs	3.634µs	13.941µs	14.913µs	397.10%	7.396	55.626	44.83%	0.102µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.005µs; 3.404µs] or [-6.228%; +6.228%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c650eff4	1763584966	ekump/clippy-annotation-action

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/2597	execution_time	6.071ms	6.409ms ± 0.064ms	6.421ms ± 0.016ms	6.436ms	6.466ms	6.505ms	6.534ms	1.76%	-2.841	9.674	1.00%	0.005ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
receiver_entry_point/report/2597	execution_time	[6.400ms; 6.418ms] or [-0.139%; +0.139%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c650eff4	1763584966	ekump/clippy-annotation-action

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	2.398µs	2.445µs ± 0.020µs	2.440µs ± 0.006µs	2.446µs	2.505µs	2.513µs	2.517µs	3.14%	2.069	4.520	0.83%	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	[2.442µs; 2.447µs] or [-0.115%; +0.115%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c650eff4	1763584966	ekump/clippy-annotation-action

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	10.595ms	10.619ms ± 0.014ms	10.618ms ± 0.008ms	10.625ms	10.642ms	10.653ms	10.708ms	0.85%	1.826	8.502	0.13%	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	[10.617ms; 10.621ms] or [-0.018%; +0.018%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c650eff4	1763584966	ekump/clippy-annotation-action

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	533.604µs	534.783µs ± 0.466µs	534.752µs ± 0.306µs	535.086µs	535.519µs	535.998µs	537.237µs	0.46%	0.842	3.161	0.09%	0.033µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1861374.873op/s	1869919.646op/s ± 1627.478op/s	1870025.320op/s ± 1069.667op/s	1870944.813op/s	1872124.496op/s	1873108.669op/s	1874049.540op/s	0.22%	-0.831	3.107	0.09%	115.080op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	380.028µs	381.030µs ± 0.417µs	381.040µs ± 0.276µs	381.300µs	381.612µs	381.903µs	383.468µs	0.64%	0.918	5.084	0.11%	0.030µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2607782.485op/s	2624469.400op/s ± 2872.607op/s	2624396.389op/s ± 1897.948op/s	2626315.574op/s	2628906.460op/s	2630334.008op/s	2631383.852op/s	0.27%	-0.897	4.968	0.11%	203.124op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	194.608µs	195.165µs ± 0.561µs	195.109µs ± 0.158µs	195.249µs	195.465µs	195.676µs	200.379µs	2.70%	8.033	72.107	0.29%	0.040µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	4990555.374op/s	5123916.073op/s ± 14395.479op/s	5125338.467op/s ± 4154.226op/s	5129475.729op/s	5133352.405op/s	5136206.634op/s	5138540.460op/s	0.26%	-7.950	71.103	0.28%	1017.914op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.851µs	37.011µs ± 0.068µs	37.008µs ± 0.044µs	37.052µs	37.131µs	37.197µs	37.221µs	0.58%	0.324	0.308	0.18%	0.005µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26866419.537op/s	27018737.863op/s ± 49802.357op/s	27021343.799op/s ± 32047.415op/s	27051941.942op/s	27100109.818op/s	27121715.600op/s	27135954.603op/s	0.42%	-0.312	0.293	0.18%	3521.558op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	44.910µs	45.086µs ± 0.122µs	45.083µs ± 0.107µs	45.189µs	45.275µs	45.289µs	45.427µs	0.76%	0.133	-1.145	0.27%	0.009µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	22013426.233op/s	22180061.722op/s ± 59987.995op/s	22181515.059op/s ± 52952.596op/s	22234868.647op/s	22265386.285op/s	22266410.877op/s	22266965.077op/s	0.39%	-0.126	-1.152	0.27%	4241.792op/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	[534.718µs; 534.847µs] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1869694.094op/s; 1870145.199op/s] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[380.972µs; 381.088µs] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2624071.284op/s; 2624867.516op/s] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[195.087µs; 195.243µs] or [-0.040%; +0.040%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5121920.998op/s; 5125911.148op/s] or [-0.039%; +0.039%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.002µs; 37.021µs] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[27011835.735op/s; 27025639.990op/s] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.069µs; 45.103µs] or [-0.037%; +0.037%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[22171747.963op/s; 22188375.481op/s] or [-0.037%; +0.037%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c650eff4	1763584966	ekump/clippy-annotation-action

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	244.873ns	255.307ns ± 13.552ns	250.259ns ± 4.261ns	257.104ns	290.760ns	298.410ns	300.496ns	20.07%	1.868	2.558	5.29%	0.958ns	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	[253.429ns; 257.185ns] or [-0.736%; +0.736%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c650eff4	1763584966	ekump/clippy-annotation-action

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	17.691µs	24.770µs ± 9.373µs	17.930µs ± 0.137µs	33.530µs	43.140µs	47.428µs	66.274µs	269.63%	1.163	0.998	37.75%	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	[23.471µs; 26.069µs] or [-5.244%; +5.244%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c650eff4	1763584966	ekump/clippy-annotation-action

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	4.996µs	5.061µs ± 0.043µs	5.064µs ± 0.041µs	5.094µs	5.135µs	5.140µs	5.142µs	1.54%	0.331	-1.216	0.86%	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	[5.055µs; 5.067µs] or [-0.119%; +0.119%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c650eff4	1763584966	ekump/clippy-annotation-action

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	61.128ms	62.007ms ± 2.541ms	61.733ms ± 0.286ms	61.974ms	62.194ms	80.978ms	84.385ms	36.69%	7.871	61.238	4.09%	0.180ms	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	[61.655ms; 62.360ms] or [-0.568%; +0.568%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c650eff4	1763584966	ekump/clippy-annotation-action

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	33.565µs	34.058µs ± 0.797µs	33.705µs ± 0.036µs	33.761µs	35.743µs	35.787µs	37.371µs	10.88%	1.808	1.739	2.33%	0.056µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.947µs; 34.168µs] or [-0.324%; +0.324%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c650eff4	1763584966	ekump/clippy-annotation-action

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	86.534µs	86.816µs ± 0.240µs	86.805µs ± 0.053µs	86.855µs	86.929µs	87.074µs	89.931µs	3.60%	11.023	140.339	0.28%	0.017µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[86.783µs; 86.849µs] or [-0.038%; +0.038%]	None	None	None

Baseline

Omitted due to size.

[codecov-commenter]

Codecov Report

:white_check_mark: All modified and coverable lines are covered by tests. :white_check_mark: Project coverage is 71.17%. Comparing base (a3f9e86) to head (c650eff).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1049      +/-   ##
==========================================
- Coverage   71.19%   71.17%   -0.02%     
==========================================
  Files         392      392              
  Lines       62677    62677              
==========================================
- Hits        44622    44613       -9     
- Misses      18055    18064       +9     

Components	Coverage Δ
libdd-crashtracker	59.90% <ø> (ø)
libdd-crashtracker-ffi	15.31% <ø> (ø)
libdd-alloc	98.73% <ø> (ø)
libdd-data-pipeline	86.02% <ø> (ø)
libdd-data-pipeline-ffi	77.63% <ø> (ø)
libdd-common	80.93% <ø> (ø)
libdd-common-ffi	73.90% <ø> (ø)
libdd-telemetry	60.02% <ø> (ø)
libdd-telemetry-ffi	21.24% <ø> (ø)
libdd-dogstatsd-client	83.75% <ø> (ø)
datadog-ipc	82.71% <ø> (+0.10%)	:arrow_up:
libdd-profiling	79.68% <ø> (ø)
libdd-profiling-ffi	62.13% <ø> (ø)
datadog-sidecar	36.98% <ø> (ø)
datdog-sidecar-ffi	16.40% <ø> (ø)
spawn-worker	55.18% <ø> (ø)
libdd-tinybytes	92.44% <ø> (ø)
libdd-trace-normalization	98.24% <ø> (ø)
datadog-trace-obfuscation	94.17% <ø> (ø)
libdd-trace-protobuf	59.65% <ø> (ø)
libdd-trace-utils	90.25% <ø> (ø)
datadog-tracer-flare	62.06% <ø> (ø)
libdd-log	75.57% <ø> (ø)

:rocket: New features to boost your workflow:

• :snowflake: Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[r1viollet]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	85.96 MB	85.96 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	7.38 MB	7.38 MB	0% (0 B) 👌

aarch64-apple-darwin

Artifact	Baseline	Commit	Change
/aarch64-apple-darwin/lib/libdatadog_profiling.a	57.99 MB	57.99 MB	0% (0 B) 👌
/aarch64-apple-darwin/lib/libdatadog_profiling.dylib	8.43 MB	8.43 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	9.53 MB	9.53 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	99.70 MB	99.70 MB	0% (0 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	19.57 MB	19.57 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	69.82 KB	69.82 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	138.54 MB	138.54 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	735.58 MB	735.58 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	6.34 MB	6.34 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	69.82 KB	69.82 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	19.67 MB	19.67 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	38.64 MB	38.64 MB	0% (0 B) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	16.70 MB	16.70 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	70.90 KB	70.90 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	141.11 MB	141.12 MB	+0% (+8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	724.31 MB	724.31 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	4.87 MB	4.87 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	70.90 KB	70.90 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	20.90 MB	20.90 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	36.39 MB	36.39 MB	0% (0 B) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	74.32 MB	74.32 MB	0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	8.85 MB	8.85 MB	0% (0 B) 👌

x86_64-apple-darwin

Artifact	Baseline	Commit	Change
/x86_64-apple-darwin/lib/libdatadog_profiling.a	59.35 MB	59.35 MB	0% (0 B) 👌
/x86_64-apple-darwin/lib/libdatadog_profiling.dylib	9.47 MB	9.47 MB	0% (0 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	93.93 MB	93.93 MB	0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	10.28 MB	10.28 MB	0% (0 B) 👌

[github-actions[bot]]

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

• Base Branch: origin/main
• PR Branch: origin/ekump/clippy-annotation-action

Summary by Rule

Rule	Base Branch	PR Branch	Change
unwrap_used	0	5	⚠️ +5 (N/A)
Total	0	5	⚠️ +5 (N/A)

Annotation Counts by File

File	Base Branch	PR Branch	Change
.github/actions/clippy-annotation-reporter/src/analyzer/annotation.rs	0	5	⚠️ +5 (N/A)

Annotation Stats by Crate

Crate	Base Branch	PR Branch	Change
clippy-annotation-reporter	0	5	⚠️ +5 (N/A)
datadog-ffe-ffi	1	1	No change (0%)
datadog-ipc	27	27	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	62	62	No change (0%)
datadog-trace-obfuscation	9	9	No change (0%)
libdd-common	11	11	No change (0%)
libdd-common-ffi	12	12	No change (0%)
libdd-crashtracker	12	12	No change (0%)
libdd-data-pipeline	7	7	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-utils	18	18	No change (0%)
Total	223	228	⚠️ +5 (+2.2%)

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.

[datadog-datadog-prod-us1[bot]]

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

_{This comment will be updated automatically if new data arrives.
🔗 Commit SHA: c650eff | Docs | Datadog PR Page | Was this helpful? Give us feedback!}

[github-actions[bot]]

This pull request has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. To override this behavior, add the keep-open label or update the PR.