feat(data-pipeline-ffi): add functions to manipulate span from C

[Leiyks]

What does this PR do?

This PR add functions to create and manipulate field of Rust Span struct from C code.

Motivation

The replacement of PHP Span to Rust Span in the PHP Tracer.

Additional Notes

As I am using macros to create the functions, the tests need to be run on a nightly version of Rust.

How to test the change?

Tests have been added, and this is linked to another one in the PHP tracer. (TODO)

[pr-commenter[bot]]

Benchmarks

Comparison

Benchmark execution time: 2025-07-23 18:27:24

Comparing candidate commit 08805b5 in PR branch leiyks-add-span-conversion-functions with baseline commit 36d16a2 in branch main.

Found 1 performance improvements and 0 performance regressions! Performance is the same for 51 metrics, 2 unstable metrics.

scenario:benching deserializing traces from msgpack to their internal representation

• 🟩 execution_time [-13.899ms; -13.265ms] or [-18.819%; -17.962%]

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	08805b5	1753294520	leiyks-add-span-conversion-functions

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	1.250µs	3.240µs ± 1.477µs	3.015µs ± 0.025µs	3.044µs	3.677µs	14.057µs	15.561µs	416.18%	7.441	56.318	45.49%	0.104µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.035µs; 3.445µs] or [-6.320%; +6.320%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	08805b5	1753294520	leiyks-add-span-conversion-functions

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	5.084µs ± 0.052µs	5.082µs ± 0.048µs	5.136µs	5.168µs	5.171µs	5.176µs	1.84%	0.322	-1.331	1.02%	0.004µs	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	[5.077µs; 5.091µs] or [-0.141%; +0.141%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	08805b5	1753294520	leiyks-add-span-conversion-functions

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	205.911µs	206.364µs ± 0.271µs	206.305µs ± 0.157µs	206.507µs	206.777µs	207.143µs	207.903µs	0.77%	1.755	6.312	0.13%	0.019µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4809932.276op/s	4845823.786op/s ± 6360.410op/s	4847198.931op/s ± 3690.686op/s	4850171.486op/s	4853244.639op/s	4855150.305op/s	4856467.114op/s	0.19%	-1.734	6.179	0.13%	449.749op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.199µs	18.275µs ± 0.076µs	18.253µs ± 0.019µs	18.284µs	18.460µs	18.627µs	18.774µs	2.85%	3.508	15.252	0.42%	0.005µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	53266139.753op/s	54720873.600op/s ± 224662.492op/s	54786824.709op/s ± 56037.994op/s	54824363.994op/s	54912328.979op/s	54934776.039op/s	54947101.773op/s	0.29%	-3.447	14.717	0.41%	15886.037op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.939µs	11.000µs ± 0.030µs	10.999µs ± 0.021µs	11.017µs	11.053µs	11.071µs	11.084µs	0.77%	0.311	-0.172	0.27%	0.002µs	1	200
normalization/normalize_name/normalize_name/good	throughput	90218595.556op/s	90912746.343op/s ± 249754.978op/s	90913692.973op/s ± 171377.864op/s	91110339.994op/s	91265802.817op/s	91401556.459op/s	91417237.274op/s	0.55%	-0.297	-0.184	0.27%	17660.344op/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	[206.326µs; 206.401µs] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4844942.295op/s; 4846705.278op/s] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.264µs; 18.285µs] or [-0.058%; +0.058%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[54689737.539op/s; 54752009.660op/s] or [-0.057%; +0.057%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.995µs; 11.004µs] or [-0.038%; +0.038%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[90878132.705op/s; 90947359.981op/s] or [-0.038%; +0.038%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	08805b5	1753294520	leiyks-add-span-conversion-functions

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	85.134µs	85.325µs ± 0.145µs	85.299µs ± 0.043µs	85.361µs	85.496µs	85.652µs	86.928µs	1.91%	7.110	73.664	0.17%	0.010µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[85.305µs; 85.345µs] or [-0.024%; +0.024%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	08805b5	1753294520	leiyks-add-span-conversion-functions

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	8.254ms	8.273ms ± 0.009ms	8.272ms ± 0.006ms	8.278ms	8.288ms	8.300ms	8.316ms	0.53%	0.925	1.904	0.11%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
concentrator/add_spans_to_concentrator	execution_time	[8.272ms; 8.274ms] or [-0.015%; +0.015%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	08805b5	1753294520	leiyks-add-span-conversion-functions

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	535.741µs	536.638µs ± 0.433µs	536.616µs ± 0.211µs	536.850µs	537.162µs	537.338µs	540.727µs	0.77%	4.097	38.113	0.08%	0.031µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1849360.453op/s	1863453.773op/s ± 1498.492op/s	1863529.360op/s ± 731.606op/s	1864184.458op/s	1865420.327op/s	1866261.931op/s	1866571.947op/s	0.16%	-4.041	37.451	0.08%	105.959op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	379.801µs	380.327µs ± 0.247µs	380.314µs ± 0.163µs	380.471µs	380.736µs	380.913µs	381.172µs	0.23%	0.346	-0.044	0.06%	0.017µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2623489.953op/s	2629319.199op/s ± 1709.146op/s	2629403.672op/s ± 1124.208op/s	2630533.581op/s	2632052.145op/s	2632513.433op/s	2632960.800op/s	0.14%	-0.342	-0.049	0.06%	120.855op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	194.465µs	195.207µs ± 0.370µs	195.277µs ± 0.329µs	195.516µs	195.749µs	195.885µs	196.057µs	0.40%	0.022	-1.190	0.19%	0.026µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5100546.537op/s	5122772.833op/s ± 9715.115op/s	5120920.774op/s ± 8621.573op/s	5132177.891op/s	5136876.502op/s	5139124.376op/s	5142306.568op/s	0.42%	-0.018	-1.192	0.19%	686.962op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.752µs	36.928µs ± 0.080µs	36.914µs ± 0.056µs	36.977µs	37.078µs	37.126µs	37.152µs	0.65%	0.535	-0.362	0.22%	0.006µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26916257.275op/s	27080098.861op/s ± 58955.298op/s	27089936.170op/s ± 41146.716op/s	27125326.885op/s	27158510.784op/s	27171491.638op/s	27209046.619op/s	0.44%	-0.526	-0.374	0.22%	4168.769op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.878µs	46.018µs ± 0.065µs	46.017µs ± 0.043µs	46.053µs	46.127µs	46.195µs	46.296µs	0.61%	0.673	1.158	0.14%	0.005µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21600288.580op/s	21730883.914op/s ± 30558.841op/s	21731083.636op/s ± 20539.899op/s	21753581.594op/s	21772697.211op/s	21788737.654op/s	21797135.033op/s	0.30%	-0.662	1.122	0.14%	2160.836op/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	[536.578µs; 536.698µs] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1863246.096op/s; 1863661.449op/s] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[380.292µs; 380.361µs] or [-0.009%; +0.009%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2629082.328op/s; 2629556.070op/s] or [-0.009%; +0.009%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[195.156µs; 195.259µs] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5121426.411op/s; 5124119.254op/s] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[36.917µs; 36.939µs] or [-0.030%; +0.030%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[27071928.224op/s; 27088269.498op/s] or [-0.030%; +0.030%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.009µs; 46.027µs] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21726648.753op/s; 21735119.076op/s] or [-0.019%; +0.019%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	08805b5	1753294520	leiyks-add-span-conversion-functions

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	2.391µs	2.420µs ± 0.016µs	2.417µs ± 0.008µs	2.427µs	2.459µs	2.466µs	2.472µs	2.25%	1.302	1.857	0.64%	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	[2.418µs; 2.422µs] or [-0.089%; +0.089%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	08805b5	1753294520	leiyks-add-span-conversion-functions

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
credit_card/is_card_number/	execution_time	3.895µs	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.914µs	3.916µs	3.919µs	3.922µs	0.24%	-0.916	8.137	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	255002288.239op/s	255609999.956op/s ± 174844.946op/s	255605068.293op/s ± 101705.728op/s	255720316.981op/s	255822124.367op/s	255902308.992op/s	256744745.719op/s	0.45%	0.936	8.253	0.07%	12363.405op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	78.900µs	80.639µs ± 0.757µs	80.621µs ± 0.510µs	81.127µs	81.912µs	82.466µs	83.017µs	2.97%	0.265	-0.080	0.94%	0.054µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12045778.232op/s	12401992.305op/s ± 116165.802op/s	12403699.486op/s ± 77908.132op/s	12488397.579op/s	12592526.391op/s	12630829.008op/s	12674202.570op/s	2.18%	-0.213	-0.129	0.93%	8214.163op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	74.471µs	74.943µs ± 0.188µs	74.906µs ± 0.096µs	75.029µs	75.311µs	75.499µs	75.548µs	0.86%	0.762	0.948	0.25%	0.013µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13236641.315op/s	13343538.682op/s ± 33466.679op/s	13350135.930op/s ± 17178.862op/s	13364742.473op/s	13382197.529op/s	13414510.584op/s	13428102.333op/s	0.58%	-0.744	0.924	0.25%	2366.452op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.892µs	3.912µs ± 0.008µs	3.911µs ± 0.002µs	3.912µs	3.915µs	3.919µs	3.995µs	2.15%	8.450	78.928	0.21%	0.001µs	1	200
credit_card/is_card_number/37828224631	throughput	250300247.726op/s	255651953.776op/s ± 530242.699op/s	255687726.995op/s ± 98397.687op/s	255810401.374op/s	255925840.480op/s	255968666.250op/s	256909736.568op/s	0.48%	-8.389	78.191	0.21%	37493.821op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	71.401µs	72.049µs ± 0.176µs	72.061µs ± 0.101µs	72.155µs	72.334µs	72.512µs	72.535µs	0.66%	-0.114	1.237	0.24%	0.012µs	1	200
credit_card/is_card_number/378282246310005	throughput	13786380.920op/s	13879493.847op/s ± 33945.337op/s	13877096.561op/s ± 19441.065op/s	13898224.851op/s	13931310.033op/s	13946187.139op/s	14005499.224op/s	0.93%	0.137	1.261	0.24%	2400.298op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.121µs	52.206µs ± 0.113µs	52.194µs ± 0.025µs	52.219µs	52.280µs	52.330µs	53.351µs	2.22%	8.268	75.993	0.22%	0.008µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	18743776.480op/s	19154834.495op/s ± 40704.655op/s	19159234.896op/s ± 9066.507op/s	19168266.935op/s	19179166.445op/s	19182822.071op/s	19185990.390op/s	0.14%	-8.205	75.154	0.21%	2878.254op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	5.690µs	5.830µs ± 0.076µs	5.829µs ± 0.065µs	5.893µs	5.957µs	5.973µs	5.997µs	2.90%	-0.030	-0.869	1.30%	0.005µs	1	200
credit_card/is_card_number/x371413321323331	throughput	166736823.691op/s	171554449.714op/s ± 2239126.609op/s	171566200.947op/s ± 1886342.528op/s	173508255.709op/s	175514505.101op/s	175699825.007op/s	175748334.970op/s	2.44%	0.074	-0.872	1.30%	158330.161op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.890µs	3.910µs ± 0.002µs	3.910µs ± 0.001µs	3.912µs	3.913µs	3.915µs	3.916µs	0.14%	-3.097	26.783	0.06%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255373883.139op/s	255736082.669op/s ± 152286.446op/s	255728127.612op/s ± 86377.070op/s	255822960.127op/s	255912714.264op/s	255962312.618op/s	257062407.778op/s	0.52%	3.132	27.149	0.06%	10768.278op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.102µs	64.304µs ± 0.092µs	64.288µs ± 0.050µs	64.346µs	64.433µs	64.697µs	64.813µs	0.82%	1.975	7.409	0.14%	0.006µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15429046.168op/s	15551100.446op/s ± 22166.798op/s	15555071.510op/s ± 12096.656op/s	15564869.704op/s	15577852.267op/s	15581532.247op/s	15600118.561op/s	0.29%	-1.952	7.270	0.14%	1567.429op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	57.375µs	57.558µs ± 0.123µs	57.530µs ± 0.068µs	57.608µs	57.808µs	57.927µs	58.148µs	1.07%	1.623	3.772	0.21%	0.009µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	17197400.860op/s	17373742.509op/s ± 37000.260op/s	17382195.417op/s ± 20719.571op/s	17398938.665op/s	17417094.879op/s	17422948.968op/s	17429199.137op/s	0.27%	-1.603	3.669	0.21%	2616.313op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.892µs	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.914µs	3.917µs	3.921µs	3.921µs	0.23%	-0.570	7.053	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255035658.133op/s	255616271.567op/s ± 209874.726op/s	255631883.693op/s ± 117051.021op/s	255749010.043op/s	255866283.440op/s	255953280.228op/s	256930416.755op/s	0.51%	0.591	7.176	0.08%	14840.384op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	54.557µs	54.801µs ± 0.141µs	54.774µs ± 0.079µs	54.859µs	55.075µs	55.202µs	55.693µs	1.68%	1.842	7.624	0.26%	0.010µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17955442.245op/s	18248114.068op/s ± 46639.294op/s	18256777.992op/s ± 26440.756op/s	18277533.352op/s	18306618.028op/s	18322300.939op/s	18329517.856op/s	0.40%	-1.795	7.274	0.25%	3297.896op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	52.120µs	52.185µs ± 0.035µs	52.185µs ± 0.021µs	52.203µs	52.248µs	52.281µs	52.357µs	0.33%	0.983	2.495	0.07%	0.002µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19099810.036op/s	19162536.617op/s ± 12926.053op/s	19162726.581op/s ± 7583.215op/s	19170928.724op/s	19182536.603op/s	19185528.356op/s	19186521.469op/s	0.12%	-0.976	2.466	0.07%	914.010op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	5.694µs	5.852µs ± 0.073µs	5.856µs ± 0.047µs	5.900µs	5.969µs	6.004µs	6.038µs	3.10%	-0.018	-0.532	1.24%	0.005µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	165625073.291op/s	170909280.983op/s ± 2119691.267op/s	170755021.253op/s ± 1376305.554op/s	172374044.675op/s	174576126.380op/s	175338649.376op/s	175613826.326op/s	2.85%	0.072	-0.542	1.24%	149884.807op/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	[3.912µs; 3.913µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/	throughput	[255585768.128op/s; 255634231.784op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[80.534µs; 80.744µs] or [-0.130%; +0.130%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12385892.843op/s; 12418091.768op/s] or [-0.130%; +0.130%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[74.917µs; 74.969µs] or [-0.035%; +0.035%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13338900.523op/s; 13348176.842op/s] or [-0.035%; +0.035%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.910µs; 3.913µs] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255578467.237op/s; 255725440.314op/s] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[72.025µs; 72.074µs] or [-0.034%; +0.034%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[13874789.350op/s; 13884198.344op/s] or [-0.034%; +0.034%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.191µs; 52.222µs] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19149193.221op/s; 19160475.768op/s] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[5.820µs; 5.841µs] or [-0.181%; +0.181%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[171244128.301op/s; 171864771.127op/s] or [-0.181%; +0.181%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.910µs; 3.911µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255714977.233op/s; 255757188.106op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[64.292µs; 64.317µs] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15548028.341op/s; 15554172.551op/s] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[57.541µs; 57.575µs] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17368614.629op/s; 17378870.390op/s] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255587184.948op/s; 255645358.185op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[54.781µs; 54.820µs] or [-0.036%; +0.036%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18241650.311op/s; 18254577.826op/s] or [-0.035%; +0.035%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.180µs; 52.190µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19160745.190op/s; 19164328.043op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[5.842µs; 5.862µs] or [-0.172%; +0.172%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[170615512.160op/s; 171203049.807op/s] or [-0.172%; +0.172%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	08805b5	1753294520	leiyks-add-span-conversion-functions

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	33.410µs	33.988µs ± 0.993µs	33.535µs ± 0.052µs	33.658µs	36.038µs	36.071µs	38.633µs	15.20%	1.901	2.476	2.91%	0.070µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.850µs; 34.125µs] or [-0.405%; +0.405%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	08805b5	1753294520	leiyks-add-span-conversion-functions

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	18.257µs	26.446µs ± 9.876µs	18.856µs ± 0.427µs	35.521µs	44.921µs	47.889µs	70.089µs	271.70%	0.937	0.449	37.25%	0.698µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[25.077µs; 27.814µs] or [-5.176%; +5.176%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	08805b5	1753294520	leiyks-add-span-conversion-functions

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	13.704ms	13.749ms ± 0.030ms	13.745ms ± 0.012ms	13.756ms	13.803ms	13.859ms	13.958ms	1.55%	2.758	12.514	0.22%	0.002ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching serializing traces from their internal representation to msgpack	execution_time	[13.745ms; 13.753ms] or [-0.031%; +0.031%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	08805b5	1753294520	leiyks-add-span-conversion-functions

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	143.505µs	144.198µs ± 0.295µs	144.151µs ± 0.098µs	144.283µs	144.660µs	145.147µs	146.625µs	1.72%	3.340	22.985	0.20%	0.021µs	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	[144.157µs; 144.239µs] or [-0.028%; +0.028%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	08805b5	1753294520	leiyks-add-span-conversion-functions

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	59.843ms	60.271ms ± 2.281ms	59.959ms ± 0.048ms	60.029ms	60.275ms	74.664ms	81.010ms	35.11%	8.200	66.566	3.77%	0.161ms	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	[59.955ms; 60.587ms] or [-0.524%; +0.524%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	08805b5	1753294520	leiyks-add-span-conversion-functions

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	246.335ns	258.598ns ± 14.108ns	251.966ns ± 4.099ns	262.310ns	287.311ns	298.013ns	300.740ns	19.36%	1.332	0.601	5.44%	0.998ns	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	[256.643ns; 260.553ns] or [-0.756%; +0.756%]	None	None	None

Baseline

Omitted due to size.

[codecov-commenter]

Codecov Report

Attention: Patch coverage is 51.76991% with 327 lines in your changes missing coverage. Please review.

Project coverage is 71.02%. Comparing base (4eb2b86) to head (08805b5). Report is 1 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #994      +/-   ##
==========================================
- Coverage   71.30%   71.02%   -0.29%     
==========================================
  Files         345      348       +3     
  Lines       53148    53839     +691     
==========================================
+ Hits        37898    38239     +341     
- Misses      15250    15600     +350     

Components	Coverage Δ
datadog-crashtracker	43.89% <ø> (-0.06%)	:arrow_down:
datadog-crashtracker-ffi	5.93% <ø> (ø)
datadog-alloc	98.73% <ø> (ø)
data-pipeline	86.82% <100.00%> (-0.18%)	:arrow_down:
data-pipeline-ffi	88.36% <ø> (ø)
ddcommon	82.99% <100.00%> (+0.10%)	:arrow_up:
ddcommon-ffi	70.01% <100.00%> (+0.35%)	:arrow_up:
ddtelemetry	60.08% <ø> (ø)
ddtelemetry-ffi	21.32% <ø> (ø)
dogstatsd-client	83.26% <ø> (ø)
datadog-ipc	82.58% <ø> (ø)
datadog-profiling	77.13% <ø> (ø)
datadog-profiling-ffi	62.12% <ø> (ø)
datadog-sidecar	39.10% <23.97%> (-1.14%)	:arrow_down:
datdog-sidecar-ffi	11.55% <23.97%> (+6.63%)	:arrow_up:
spawn-worker	55.35% <ø> (ø)
tinybytes	91.59% <100.00%> (+0.63%)	:arrow_up:
datadog-trace-normalization	98.24% <ø> (ø)
datadog-trace-obfuscation	94.17% <ø> (ø)
datadog-trace-protobuf	77.10% <ø> (ø)
datadog-trace-utils	89.94% <94.82%> (+0.21%)	:arrow_up:
datadog-tracer-flare	75.14% <ø> (ø)
datadog-log	76.31% <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.so	9.24 MB	9.24 MB	--.06% (-5.77 KB) 💪
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so.debug	22.12 MB	22.05 MB	--.32% (-73.65 KB) 💪
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	70.32 MB	70.18 MB	--.20% (-147.66 KB) 💪

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	9.16 MB	9.09 MB	--.73% (-69.42 KB) 💪
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug	26.18 MB	26.10 MB	--.33% (-88.62 KB) 💪
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	82.55 MB	82.36 MB	--.22% (-192.43 KB) 💪

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	18.40 MB	18.31 MB	--.50% (-95.00 KB) 💪
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	65.03 KB	65.03 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	124.94 MB	124.47 MB	--.38% (-488.00 KB) 💪
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	646.92 MB	645.73 MB	--.18% (-1.19 MB) 💪
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	5.89 MB	5.87 MB	--.31% (-19.00 KB) 💪
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	65.03 KB	65.03 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	17.35 MB	17.31 MB	--.22% (-40.00 KB) 💪
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	32.19 MB	32.12 MB	--.20% (-67.91 KB) 💪

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	15.69 MB	15.60 MB	--.56% (-90.50 KB) 💪
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	66.03 KB	66.03 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	127.33 MB	126.81 MB	--.41% (-536.00 KB) 💪
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	636.65 MB	635.45 MB	--.18% (-1.19 MB) 💪
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	4.49 MB	4.48 MB	--.24% (-11.50 KB) 💪
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	66.03 KB	66.03 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	18.48 MB	18.44 MB	--.21% (-40.00 KB) 💪
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	30.23 MB	30.17 MB	--.21% (-66.79 KB) 💪

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	63.04 MB	62.91 MB	--.20% (-134.00 KB) 💪
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	9.85 MB	9.83 MB	--.20% (-20.95 KB) 💪
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so.debug	20.97 MB	20.90 MB	--.32% (-69.09 KB) 💪

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	77.49 MB	77.33 MB	--.21% (-167.50 KB) 💪
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	9.75 MB	9.74 MB	--.16% (-16.66 KB) 💪
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug	24.10 MB	24.02 MB	--.32% (-80.21 KB) 💪

[Leiyks]

The Data Pipeline team hasn't seen any design docs or had any conversations about adding this functionality. Also, I'm not ok with tests that can only run on nightly. Our CI is on stable, and we build our releases with stable.

It's an error on my part, the PR was supposed to stay in draft as it is just at the experiment level yet. Sorry for the inconvenience :bow:

[bwoebi]

Assuming the code works, it's now time to get the CI checks here green :-) Looks good so far.

[ekump]

We try to keep data-pipeline-ffi as a thin/optional layer over data-pipeline functionalities which are used directly by some crates (e.g. dd-trace-py, dd-trace-rs)

The Span struct and it's logic lives in trace-utils and is not specific to data-pipeline

+1, it's important we maintain parity between the FFI layer and our Rust API for Data Pipeline. trace-utils sounds like a natural home for this. We can also migrate it to Data Pipeline later.

[bwoebi]

@ekump So the suggestion is having datadog-trace-utils-ffi, right?

[ekump]

@ekump So the suggestion is having datadog-trace-utils-ffi, right?

My strong opinion is that the real logic doesn't live in an FFI crate. I think it should live in datadog-trace-utils (for now, at least). And whatever FFI crate we use should call datadog-trace-utils.

I'm hesitant to suggest datadog-trace-utils-ffi because we want to rethink datadog-trace-utils in general and potentially break it up. (Something @paullegranddc has been thinking about). Is this something that could live in datadog-sidecar-ffi for now?

[bwoebi]

Alright, let's put it in datadog-sidecar-ffi into a separate file for now, as long as we don't know the ultimate fate of this. But the code in that file is really just ffi glue code.

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

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[bwoebi]

/merge

[dd-devflow-routing-codex[bot]]

View all feedbacks in Devflow UI.

2025-07-23 15:51:41 UTC :information_source: Start processing command /merge

---

2025-07-23 15:51:55 UTC :information_source: MergeQueue: waiting for PR to be ready

This merge request is not mergeable yet, because of pending checks/missing approvals. It will be added to the queue as soon as checks pass and/or get approvals. Note: if you pushed new commits since the last approval, you may need additional approval. You can remove it from the waiting list with /remove command.

---

2025-07-23 18:52:14 UTC :information_source: MergeQueue: merge request added to the queue

The expected merge time in main is approximately 39m (p90).

---

2025-07-23 19:28:15 UTC :information_source: MergeQueue: This merge request was merged