Require docs on all public things in data-pipeline

[ajgajg1134]

What does this PR do?

Require docs on all public things in data-pipeline. Add docs for anywhere this wasn't already true.

Motivation

Docs are valuable for us and for others working in this repository.

How to test the change?

N/A

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 73.17%. Comparing base (40ca981) to head (66975a4).
⚠️ Report is 1009 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #614      +/-   ##
==========================================
+ Coverage   73.06%   73.17%   +0.11%     
==========================================
  Files         252      252              
  Lines       35959    35959              
==========================================
+ Hits        26274    26314      +40     
+ Misses       9685     9645      -40     

Components	Coverage Δ
crashtracker	20.53% <ø> (+0.05%)	⬆️
datadog-alloc	98.73% <ø> (ø)
data-pipeline	90.12% <ø> (ø)
data-pipeline-ffi	0.00% <ø> (ø)
ddcommon	83.08% <ø> (ø)
ddcommon-ffi	69.52% <ø> (ø)
ddtelemetry	59.10% <ø> (ø)
ipc	83.63% <ø> (ø)
profiling	84.26% <ø> (+0.69%)	⬆️
profiling-ffi	77.42% <ø> (ø)
serverless	0.00% <ø> (ø)
sidecar	40.12% <ø> (ø)
sidecar-ffi	0.00% <ø> (ø)
spawn-worker	50.36% <ø> (ø)
tinybytes	91.66% <ø> (ø)
trace-mini-agent	70.88% <ø> (ø)
trace-normalization	98.25% <ø> (ø)
trace-obfuscation	95.73% <ø> (ø)
trace-protobuf	77.67% <ø> (ø)
trace-utils	92.86% <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.

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2024-09-09 19:04:45

Comparing candidate commit 66975a4 in PR branch andrew.glaude/data-pipelineDOCS with baseline commit 40ca981 in branch main.

Found 0 performance improvements and 2 performance regressions! Performance is the same for 49 metrics, 2 unstable metrics.

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

• 🟥 execution_time [+8.838µs; +9.059µs] or [+10.382%; +10.642%]
• 🟥 throughput [-1131530.912op/s; -1103680.432op/s] or [-9.632%; -9.395%]

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	66975a4	1725908068	andrew.glaude/data-pipelineDOCS

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	280.612µs	281.408µs ± 0.655µs	281.253µs ± 0.150µs	281.408µs	282.454µs	284.782µs	285.366µs	1.46%	3.623	15.415	0.23%	0.046µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	3504275.095op/s	3553580.833op/s ± 8199.965op/s	3555518.284op/s ± 1890.619op/s	3557358.496op/s	3559526.100op/s	3560572.929op/s	3563637.284op/s	0.23%	-3.593	15.176	0.23%	579.825op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	27.727µs	27.941µs ± 0.108µs	27.929µs ± 0.065µs	27.995µs	28.134µs	28.210µs	28.254µs	1.16%	0.539	0.004	0.39%	0.008µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	35393738.647op/s	35790498.563op/s ± 138360.991op/s	35805536.753op/s ± 83713.216op/s	35885175.617op/s	35996479.263op/s	36046985.440op/s	36065842.619op/s	0.73%	-0.519	-0.020	0.39%	9783.600op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	16.811µs	16.855µs ± 0.032µs	16.847µs ± 0.018µs	16.873µs	16.907µs	16.938µs	17.041µs	1.15%	1.780	6.097	0.19%	0.002µs	1	200
normalization/normalize_name/normalize_name/good	throughput	58683246.574op/s	59330414.904op/s ± 110555.769op/s	59359422.049op/s ± 64886.241op/s	59412040.479op/s	59461177.798op/s	59477408.104op/s	59483523.064op/s	0.21%	-1.753	5.905	0.19%	7817.473op/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	[281.317µs; 281.499µs] or [-0.032%; +0.032%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[3552444.397op/s; 3554717.270op/s] or [-0.032%; +0.032%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[27.926µs; 27.956µs] or [-0.054%; +0.054%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[35771323.060op/s; 35809674.066op/s] or [-0.054%; +0.054%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[16.850µs; 16.859µs] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[59315092.938op/s; 59345736.871op/s] or [-0.026%; +0.026%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	66975a4	1725908068	andrew.glaude/data-pipelineDOCS

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	1.212µs	1.213µs ± 0.003µs	1.213µs ± 0.000µs	1.213µs	1.213µs	1.214µs	1.252µs	3.22%	13.338	181.755	0.23%	0.000µs	1	200
credit_card/is_card_number/	throughput	799026174.137op/s	824560851.853op/s ± 1848376.336op/s	824719881.178op/s ± 207493.981op/s	824902619.096op/s	825115705.878op/s	825199172.830op/s	825330079.504op/s	0.07%	-13.297	180.978	0.22%	130699.944op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	108.131µs	109.499µs ± 0.867µs	109.323µs ± 0.413µs	109.873µs	111.095µs	112.149µs	115.057µs	5.24%	2.113	8.727	0.79%	0.061µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	8691361.722op/s	9133057.775op/s ± 71165.724op/s	9147209.664op/s ± 34567.718op/s	9177406.152op/s	9217657.720op/s	9234592.922op/s	9248049.246op/s	1.10%	-1.972	7.661	0.78%	5032.177op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	101.961µs	103.385µs ± 0.794µs	103.230µs ± 0.554µs	103.869µs	104.882µs	105.500µs	105.611µs	2.31%	0.693	-0.014	0.77%	0.056µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	9468746.693op/s	9673144.877op/s ± 73865.702op/s	9687136.961op/s ± 52082.317op/s	9734059.230op/s	9770797.474op/s	9798519.383op/s	9807682.469op/s	1.24%	-0.659	-0.075	0.76%	5223.094op/s	1	200
credit_card/is_card_number/37828224631	execution_time	1.212µs	1.212µs ± 0.002µs	1.212µs ± 0.000µs	1.213µs	1.213µs	1.213µs	1.246µs	2.76%	13.594	186.794	0.20%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	802725041.810op/s	824753779.348op/s ± 1583081.012op/s	824895793.032op/s ± 174093.429op/s	825042876.807op/s	825183128.586op/s	825231445.134op/s	825247841.965op/s	0.04%	-13.571	186.354	0.19%	111940.732op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	98.355µs	99.778µs ± 0.778µs	99.600µs ± 0.447µs	100.211µs	101.254µs	101.834µs	102.849µs	3.26%	0.993	1.036	0.78%	0.055µs	1	200
credit_card/is_card_number/378282246310005	throughput	9723013.487op/s	10022871.004op/s ± 77520.998op/s	10040146.225op/s ± 44879.131op/s	10078026.375op/s	10121725.835op/s	10150876.036op/s	10167267.660op/s	1.27%	-0.946	0.895	0.77%	5481.562op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	100.088µs	100.448µs ± 0.587µs	100.299µs ± 0.143µs	100.472µs	101.183µs	103.761µs	104.261µs	3.95%	4.348	21.556	0.58%	0.042µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	9591342.624op/s	9955729.287op/s ± 56771.559op/s	9970150.367op/s ± 14236.468op/s	9983671.207op/s	9989861.439op/s	9990794.212op/s	9991171.801op/s	0.21%	-4.268	20.867	0.57%	4014.355op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	19.183µs	19.447µs ± 0.156µs	19.418µs ± 0.090µs	19.557µs	19.649µs	19.899µs	20.271µs	4.39%	1.085	3.261	0.80%	0.011µs	1	200
credit_card/is_card_number/x371413321323331	throughput	49332338.970op/s	51426243.595op/s ± 408676.588op/s	51497842.164op/s ± 239930.120op/s	51676963.487op/s	51999830.779op/s	52116059.773op/s	52129087.259op/s	1.23%	-0.991	2.773	0.79%	28897.799op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	1.212µs	1.212µs ± 0.000µs	1.212µs ± 0.000µs	1.213µs	1.213µs	1.213µs	1.215µs	0.21%	1.356	5.813	0.03%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	823100695.146op/s	824777375.573op/s ± 277690.797op/s	824792358.531op/s ± 208619.856op/s	825001711.881op/s	825129235.873op/s	825212752.227op/s	825252279.622op/s	0.06%	-1.350	5.770	0.03%	19635.705op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	89.289µs	91.189µs ± 0.512µs	91.201µs ± 0.297µs	91.498µs	92.055µs	92.346µs	92.662µs	1.60%	-0.210	0.707	0.56%	0.036µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	10791860.622op/s	10966610.964op/s ± 61686.521op/s	10964781.124op/s ± 35636.952op/s	11000282.751op/s	11067627.121op/s	11105871.857op/s	11199646.010op/s	2.14%	0.255	0.759	0.56%	4361.896op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	92.539µs	94.079µs ± 0.517µs	94.092µs ± 0.263µs	94.330µs	94.805µs	95.044µs	97.421µs	3.54%	1.307	8.599	0.55%	0.037µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	10264758.829op/s	10629705.211op/s ± 57972.565op/s	10627942.024op/s ± 29704.059op/s	10662881.711op/s	10708630.571op/s	10753198.604op/s	10806297.223op/s	1.68%	-1.166	7.724	0.54%	4099.279op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	1.212µs	1.213µs ± 0.003µs	1.212µs ± 0.000µs	1.213µs	1.213µs	1.214µs	1.254µs	3.46%	13.678	188.340	0.25%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	797254814.912op/s	824680007.320op/s ± 1966921.525op/s	824835733.968op/s ± 191157.889op/s	825026380.227op/s	825189100.334op/s	825289248.220op/s	825331370.545op/s	0.06%	-13.654	187.888	0.24%	139082.355op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	80.216µs	81.483µs ± 0.456µs	81.520µs ± 0.313µs	81.819µs	82.176µs	82.346µs	82.433µs	1.12%	-0.347	-0.525	0.56%	0.032µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	12131121.445op/s	12272925.732op/s ± 68790.964op/s	12266988.954op/s ± 47346.780op/s	12315626.683op/s	12394899.753op/s	12422901.580op/s	12466404.055op/s	1.63%	0.370	-0.506	0.56%	4864.256op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	99.987µs	100.455µs ± 0.505µs	100.324µs ± 0.156µs	100.566µs	101.117µs	103.445µs	104.295µs	3.96%	4.638	27.938	0.50%	0.036µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	9588157.015op/s	9954909.566op/s ± 48932.479op/s	9967676.819op/s ± 15512.111op/s	9979152.556op/s	9990115.330op/s	9991920.953op/s	10001313.172op/s	0.34%	-4.513	26.696	0.49%	3460.049op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	19.160µs	19.306µs ± 0.110µs	19.247µs ± 0.011µs	19.333µs	19.511µs	19.706µs	19.828µs	3.02%	2.120	4.727	0.57%	0.008µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	50434228.055op/s	51799599.052op/s ± 292351.087op/s	51955226.775op/s ± 29191.070op/s	51975823.262op/s	51987452.105op/s	52000366.834op/s	52192798.796op/s	0.46%	-2.083	4.506	0.56%	20672.344op/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	[1.212µs; 1.213µs] or [-0.032%; +0.032%]	None	None	None
credit_card/is_card_number/	throughput	[824304684.669op/s; 824817019.036op/s] or [-0.031%; +0.031%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[109.379µs; 109.619µs] or [-0.110%; +0.110%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[9123194.890op/s; 9142920.660op/s] or [-0.108%; +0.108%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[103.275µs; 103.495µs] or [-0.106%; +0.106%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[9662907.801op/s; 9683381.953op/s] or [-0.106%; +0.106%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[1.212µs; 1.213µs] or [-0.027%; +0.027%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[824534379.545op/s; 824973179.151op/s] or [-0.027%; +0.027%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[99.670µs; 99.886µs] or [-0.108%; +0.108%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[10012127.339op/s; 10033614.669op/s] or [-0.107%; +0.107%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[100.367µs; 100.529µs] or [-0.081%; +0.081%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[9947861.295op/s; 9963597.279op/s] or [-0.079%; +0.079%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[19.425µs; 19.468µs] or [-0.111%; +0.111%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[51369604.950op/s; 51482882.239op/s] or [-0.110%; +0.110%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[1.212µs; 1.213µs] or [-0.005%; +0.005%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[824738890.299op/s; 824815860.847op/s] or [-0.005%; +0.005%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[91.118µs; 91.260µs] or [-0.078%; +0.078%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[10958061.806op/s; 10975160.123op/s] or [-0.078%; +0.078%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[94.007µs; 94.150µs] or [-0.076%; +0.076%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[10621670.771op/s; 10637739.651op/s] or [-0.076%; +0.076%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[1.212µs; 1.213µs] or [-0.034%; +0.034%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[824407410.914op/s; 824952603.727op/s] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[81.420µs; 81.546µs] or [-0.078%; +0.078%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[12263391.965op/s; 12282459.498op/s] or [-0.078%; +0.078%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[100.385µs; 100.525µs] or [-0.070%; +0.070%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[9948127.995op/s; 9961691.137op/s] or [-0.068%; +0.068%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[19.291µs; 19.321µs] or [-0.079%; +0.079%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[51759082.003op/s; 51840116.101op/s] or [-0.078%; +0.078%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	66975a4	1725908068	andrew.glaude/data-pipelineDOCS

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	73.552µs	73.898µs ± 0.216µs	73.836µs ± 0.128µs	74.054µs	74.112µs	74.176µs	75.621µs	2.42%	3.115	21.089	0.29%	0.015µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[73.868µs; 73.928µs] or [-0.041%; +0.041%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	66975a4	1725908068	andrew.glaude/data-pipelineDOCS

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	137.577µs	138.074µs ± 0.254µs	138.035µs ± 0.113µs	138.163µs	138.409µs	139.082µs	139.699µs	1.21%	2.426	11.767	0.18%	0.018µs	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	[138.039µs; 138.109µs] or [-0.025%; +0.025%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	66975a4	1725908068	andrew.glaude/data-pipelineDOCS

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	35.837µs	36.375µs ± 0.961µs	35.946µs ± 0.048µs	35.995µs	38.452µs	38.555µs	39.275µs	9.26%	1.716	1.018	2.63%	0.068µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[36.242µs; 36.508µs] or [-0.366%; +0.366%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	66975a4	1725908068	andrew.glaude/data-pipelineDOCS

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	1.449µs	2.894µs ± 1.382µs	2.736µs ± 0.026µs	2.759µs	3.063µs	12.448µs	15.828µs	478.60%	8.006	64.273	47.62%	0.098µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[2.703µs; 3.086µs] or [-6.616%; +6.616%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	66975a4	1725908068	andrew.glaude/data-pipelineDOCS

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	1.223µs	1.384µs ± 0.055µs	1.380µs ± 0.043µs	1.428µs	1.461µs	1.480µs	1.481µs	7.35%	-0.577	0.050	3.98%	0.004µs	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	[1.377µs; 1.392µs] or [-0.553%; +0.553%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	66975a4	1725908068	andrew.glaude/data-pipelineDOCS

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	2.673µs	2.735µs ± 0.021µs	2.736µs ± 0.004µs	2.740µs	2.785µs	2.793µs	2.796µs	2.21%	0.360	2.233	0.76%	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	[2.733µs; 2.738µs] or [-0.105%; +0.105%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	66975a4	1725908068	andrew.glaude/data-pipelineDOCS

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	578.554µs	579.377µs ± 0.285µs	579.410µs ± 0.198µs	579.606µs	579.749µs	579.873µs	579.979µs	0.10%	-0.593	0.001	0.05%	0.020µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1724199.058op/s	1725992.195op/s ± 848.154op/s	1725893.302op/s ± 589.227op/s	1726495.165op/s	1727507.297op/s	1728168.686op/s	1728447.315op/s	0.15%	0.595	0.005	0.05%	59.974op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	464.106µs	464.966µs ± 0.877µs	464.901µs ± 0.236µs	465.121µs	465.407µs	466.418µs	475.491µs	2.28%	9.374	105.248	0.19%	0.062µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2103088.529op/s	2150703.565op/s ± 3988.331op/s	2150995.467op/s ± 1089.663op/s	2152166.680op/s	2153289.104op/s	2154016.387op/s	2154678.470op/s	0.17%	-9.265	103.364	0.18%	282.018op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	183.977µs	184.239µs ± 0.126µs	184.247µs ± 0.082µs	184.329µs	184.421µs	184.522µs	184.582µs	0.18%	-0.125	-0.414	0.07%	0.009µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5417656.631op/s	5427724.222op/s ± 3701.477op/s	5427501.571op/s ± 2416.648op/s	5429864.929op/s	5434333.390op/s	5434874.463op/s	5435476.075op/s	0.15%	0.128	-0.415	0.07%	261.734op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	46.457µs	46.731µs ± 0.100µs	46.729µs ± 0.071µs	46.805µs	46.896µs	46.918µs	46.943µs	0.46%	-0.187	-0.255	0.21%	0.007µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	21302321.182op/s	21398970.042op/s ± 45679.093op/s	21399860.491op/s ± 32346.360op/s	21430592.368op/s	21475065.035op/s	21514813.468op/s	21525258.440op/s	0.59%	0.198	-0.245	0.21%	3230.000op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	44.465µs	45.039µs ± 0.206µs	45.061µs ± 0.141µs	45.194µs	45.314µs	45.384µs	45.965µs	2.01%	-0.037	1.399	0.46%	0.015µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21755662.636op/s	22203328.329op/s ± 101655.483op/s	22192005.478op/s ± 69628.885op/s	22266305.455op/s	22379348.748op/s	22451308.032op/s	22489828.975op/s	1.34%	0.083	1.292	0.46%	7188.128op/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	[579.338µs; 579.416µs] or [-0.007%; +0.007%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1725874.649op/s; 1726109.741op/s] or [-0.007%; +0.007%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[464.844µs; 465.087µs] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2150150.821op/s; 2151256.310op/s] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[184.222µs; 184.257µs] or [-0.009%; +0.009%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5427211.233op/s; 5428237.211op/s] or [-0.009%; +0.009%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[46.718µs; 46.745µs] or [-0.030%; +0.030%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[21392639.359op/s; 21405300.725op/s] or [-0.030%; +0.030%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.011µs; 45.068µs] or [-0.063%; +0.063%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[22189239.857op/s; 22217416.801op/s] or [-0.063%; +0.063%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	66975a4	1725908068	andrew.glaude/data-pipelineDOCS

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	16.594µs	21.549µs ± 11.733µs	16.736µs ± 0.068µs	16.937µs	49.427µs	51.325µs	103.316µs	517.31%	2.981	11.936	54.31%	0.830µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[19.923µs; 23.175µs] or [-7.546%; +7.546%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	66975a4	1725908068	andrew.glaude/data-pipelineDOCS

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	8.885ms	8.924ms ± 0.016ms	8.924ms ± 0.008ms	8.930ms	8.944ms	8.978ms	9.012ms	0.99%	1.157	5.977	0.18%	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	[8.921ms; 8.926ms] 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	66975a4	1725908068	andrew.glaude/data-pipelineDOCS

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	292.531ns	303.142ns ± 15.524ns	295.258ns ± 1.612ns	304.400ns	336.959ns	353.723ns	357.714ns	21.15%	1.912	2.812	5.11%	1.098ns	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	[300.991ns; 305.294ns] or [-0.710%; +0.710%]	None	None	None

Baseline

Omitted due to size.