chore: fix unused variable in ffi example

[KowalskiThomas]

What does this PR do?

This PR fixes an unused variable (c) which happens when the code is compiled with NDEBUG (which I think I accidentally did when I ran FFI tests for #1733). To work around this, I extracted the c.load from the assert and then always do std::ignore = value so that everything is always used.

[datadog-datadog-prod-us1]

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 100.00%
• Overall Coverage: 71.31% (-0.02%)

_{This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 85c5459 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!}

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.35%. Comparing base (15860bb) to head (a717294).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1825      +/-   ##
==========================================
+ Coverage   71.33%   71.35%   +0.02%     
==========================================
  Files         424      424              
  Lines       66685    66685              
==========================================
+ Hits        47572    47586      +14     
+ Misses      19113    19099      -14     

Components	Coverage Δ
libdd-crashtracker	65.88% <ø> (-0.02%)	⬇️
libdd-crashtracker-ffi	34.47% <ø> (ø)
libdd-alloc	98.77% <ø> (ø)
libdd-data-pipeline	87.05% <ø> (ø)
libdd-data-pipeline-ffi	72.91% <ø> (ø)
libdd-common	80.19% <ø> (ø)
libdd-common-ffi	73.87% <ø> (ø)
libdd-telemetry	62.48% <ø> (ø)
libdd-telemetry-ffi	16.75% <ø> (ø)
libdd-dogstatsd-client	82.64% <ø> (ø)
datadog-ipc	72.56% <ø> (+2.24%)	⬆️
libdd-profiling	81.61% <ø> (-0.02%)	⬇️
libdd-profiling-ffi	64.94% <ø> (ø)
datadog-sidecar	30.18% <ø> (ø)
datdog-sidecar-ffi	6.52% <ø> (ø)
spawn-worker	54.69% <ø> (ø)
libdd-tinybytes	93.16% <ø> (ø)
libdd-trace-normalization	81.71% <ø> (ø)
libdd-trace-obfuscation	87.24% <ø> (ø)
libdd-trace-protobuf	68.25% <ø> (ø)
libdd-trace-utils	88.72% <ø> (ø)
datadog-tracer-flare	86.88% <ø> (ø)
libdd-log	74.69% <ø> (ø)

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• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
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[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2026-03-31 09:51:51

Comparing candidate commit 85c5459 in PR branch kowalski/chore-fix-various-issues with baseline commit 15860bb in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 62 metrics, 0 unstable metrics.

Explanation

This is an A/B test comparing a candidate commit's performance against that of a baseline commit. Performance changes are noted in the tables below as:

• 🟩 = significantly better candidate vs. baseline
• 🟥 = significantly worse candidate vs. baseline

We compute a confidence interval (CI) over the relative difference of means between metrics from the candidate and baseline commits, considering the baseline as the reference.

If the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD), the change is considered significant.

Feel free to reach out to #apm-benchmarking-platform on Slack if you have any questions.

More details about the CI and significant changes

You can imagine this CI as a range of values that is likely to contain the true difference of means between the candidate and baseline commits.

CIs of the difference of means are often centered around 0%, because often changes are not that big:

---------------------------------(------|---^--------)-------------------------------->
                              -0.6%    0%  0.3%     +1.2%
                                 |          |        |
         lower bound of the CI --'          |        |
sample mean (center of the CI) -------------'        |
         upper bound of the CI ----------------------'

As described above, a change is considered significant if the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD).

For instance, for an execution time metric, this confidence interval indicates a significantly worse performance:

----------------------------------------|---------|---(---------^---------)---------->
                                       0%        1%  1.3%      2.2%      3.1%
                                                  |   |         |         |
       significant impact threshold --------------'   |         |         |
                      lower bound of CI --------------'         |         |
       sample mean (center of the CI) --------------------------'         |
                      upper bound of CI ----------------------------------'

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	85c5459	1774949653	kowalski/chore-fix-various-issues

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	5.364µs	5.455µs ± 0.054µs	5.439µs ± 0.029µs	5.487µs	5.563µs	5.578µs	5.593µs	2.83%	0.767	-0.392	1.00%	0.004µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[5.447µs; 5.462µs] or [-0.138%; +0.138%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

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	245.657ns	255.988ns ± 13.740ns	250.016ns ± 2.951ns	256.573ns	286.777ns	305.759ns	313.342ns	25.33%	2.255	4.793	5.35%	0.972ns	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_trace/test_trace	execution_time	[254.084ns; 257.892ns] or [-0.744%; +0.744%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

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	2.290µs	2.371µs ± 0.020µs	2.374µs ± 0.006µs	2.379µs	2.395µs	2.399µs	2.406µs	1.31%	-2.370	6.264	0.86%	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	[2.368µs; 2.374µs] or [-0.119%; +0.119%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
credit_card/is_card_number/	execution_time	3.898µs	3.916µs ± 0.004µs	3.915µs ± 0.003µs	3.918µs	3.923µs	3.926µs	3.926µs	0.27%	0.037	1.459	0.10%	0.000µs	1	200
credit_card/is_card_number/	throughput	254709482.593op/s	255371451.745op/s ± 254569.554op/s	255403511.834op/s ± 182605.986op/s	255568649.754op/s	255696305.994op/s	255771299.896op/s	256544418.999op/s	0.45%	-0.026	1.488	0.10%	18000.786op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	76.113µs	77.798µs ± 0.641µs	77.790µs ± 0.424µs	78.212µs	78.855µs	79.103µs	79.258µs	1.89%	-0.154	-0.303	0.82%	0.045µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12616998.014op/s	12854590.990op/s ± 106007.761op/s	12855189.269op/s ± 70132.624op/s	12925863.343op/s	13035705.569op/s	13108624.774op/s	13138314.219op/s	2.20%	0.196	-0.283	0.82%	7495.881op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	67.453µs	67.660µs ± 0.099µs	67.652µs ± 0.060µs	67.715µs	67.800µs	67.910µs	68.281µs	0.93%	1.500	6.961	0.15%	0.007µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	14645259.651op/s	14779818.178op/s ± 21471.361op/s	14781506.857op/s ± 13098.864op/s	14794163.333op/s	14809188.966op/s	14814493.264op/s	14825075.132op/s	0.29%	-1.471	6.754	0.14%	1518.255op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.896µs	3.916µs ± 0.004µs	3.916µs ± 0.003µs	3.919µs	3.924µs	3.927µs	3.929µs	0.33%	0.091	1.941	0.11%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254537152.155op/s	255349746.679op/s ± 276769.751op/s	255379129.223op/s ± 184625.350op/s	255558682.889op/s	255684115.633op/s	255809101.041op/s	256659035.258op/s	0.50%	-0.078	1.976	0.11%	19570.577op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	64.573µs	64.730µs ± 0.081µs	64.717µs ± 0.051µs	64.782µs	64.865µs	64.962µs	65.030µs	0.48%	0.729	0.428	0.12%	0.006µs	1	200
credit_card/is_card_number/378282246310005	throughput	15377562.311op/s	15448784.813op/s ± 19299.759op/s	15451857.421op/s ± 12193.885op/s	15461887.610op/s	15475106.434op/s	15483042.590op/s	15486435.431op/s	0.22%	-0.722	0.410	0.12%	1364.699op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	44.734µs	44.970µs ± 0.094µs	44.970µs ± 0.064µs	45.031µs	45.126µs	45.187µs	45.244µs	0.61%	0.104	-0.341	0.21%	0.007µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	22102509.656op/s	22237028.504op/s ± 46557.986op/s	22236877.302op/s ± 31583.883op/s	22270407.639op/s	22307794.904op/s	22331761.057op/s	22354298.591op/s	0.53%	-0.094	-0.347	0.21%	3292.147op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	5.695µs	5.705µs ± 0.006µs	5.703µs ± 0.004µs	5.709µs	5.717µs	5.720µs	5.727µs	0.41%	0.850	0.545	0.10%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	174607837.073op/s	175279374.014op/s ± 173344.601op/s	175331042.387op/s ± 107627.942op/s	175406296.216op/s	175509670.007op/s	175540353.014op/s	175581914.322op/s	0.14%	-0.844	0.529	0.10%	12257.314op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.893µs	3.916µs ± 0.004µs	3.915µs ± 0.003µs	3.919µs	3.924µs	3.927µs	3.932µs	0.43%	0.106	3.718	0.11%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254319219.612op/s	255367789.033op/s ± 288860.501op/s	255421136.101op/s ± 166030.382op/s	255572927.032op/s	255674100.534op/s	255804047.354op/s	256894922.936op/s	0.58%	-0.087	3.784	0.11%	20425.522op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	59.778µs	61.071µs ± 0.485µs	61.064µs ± 0.311µs	61.351µs	61.927µs	62.257µs	62.338µs	2.09%	0.234	-0.197	0.79%	0.034µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	16041701.424op/s	16375466.710op/s ± 129759.077op/s	16376345.507op/s ± 83430.963op/s	16472222.480op/s	16579661.211op/s	16632768.489op/s	16728499.595op/s	2.15%	-0.193	-0.215	0.79%	9175.352op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	53.444µs	53.741µs ± 0.124µs	53.737µs ± 0.074µs	53.811µs	53.951µs	54.075µs	54.135µs	0.74%	0.290	0.330	0.23%	0.009µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18472186.222op/s	18607880.217op/s ± 43057.489op/s	18609305.700op/s ± 25506.048op/s	18633927.823op/s	18672907.960op/s	18700291.319op/s	18711086.319op/s	0.55%	-0.275	0.313	0.23%	3044.624op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.895µs	3.916µs ± 0.004µs	3.916µs ± 0.003µs	3.919µs	3.923µs	3.926µs	3.928µs	0.31%	-0.071	2.407	0.11%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254607965.541op/s	255349763.648op/s ± 272172.150op/s	255390614.395op/s ± 189287.214op/s	255553709.167op/s	255673193.201op/s	255750666.393op/s	256732751.057op/s	0.53%	0.085	2.463	0.11%	19245.477op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	50.208µs	50.333µs ± 0.065µs	50.329µs ± 0.043µs	50.377µs	50.437µs	50.497µs	50.598µs	0.54%	0.658	0.936	0.13%	0.005µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	19763617.207op/s	19867668.550op/s ± 25704.015op/s	19869395.171op/s ± 16995.269op/s	19884309.293op/s	19905773.371op/s	19914805.126op/s	19917138.698op/s	0.24%	-0.648	0.906	0.13%	1817.548op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	44.791µs	45.002µs ± 0.083µs	45.000µs ± 0.052µs	45.056µs	45.132µs	45.194µs	45.229µs	0.51%	-0.092	0.106	0.18%	0.006µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	22109741.255op/s	22221401.265op/s ± 40858.820op/s	22222207.830op/s ± 25855.739op/s	22245957.355op/s	22286541.638op/s	22318352.108op/s	22326157.326op/s	0.47%	0.103	0.107	0.18%	2889.155op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	5.693µs	5.704µs ± 0.005µs	5.703µs ± 0.004µs	5.708µs	5.714µs	5.716µs	5.730µs	0.47%	1.003	1.816	0.09%	0.000µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	174519496.456op/s	175300458.306op/s ± 164210.610op/s	175337574.845op/s ± 108761.551op/s	175426943.322op/s	175510221.760op/s	175553510.856op/s	175649612.990op/s	0.18%	-0.996	1.780	0.09%	11611.444op/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 [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/	throughput	[255336170.853op/s; 255406732.637op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[77.710µs; 77.887µs] or [-0.114%; +0.114%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12839899.334op/s; 12869282.646op/s] or [-0.114%; +0.114%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[67.646µs; 67.674µs] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14776842.454op/s; 14782793.902op/s] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.916µs; 3.917µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255311389.053op/s; 255388104.304op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[64.719µs; 64.741µs] or [-0.017%; +0.017%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[15446110.052op/s; 15451459.574op/s] or [-0.017%; +0.017%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[44.957µs; 44.983µs] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[22230576.015op/s; 22243480.993op/s] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[5.704µs; 5.706µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[175255350.120op/s; 175303397.909op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.915µs; 3.917µs] or [-0.016%; +0.016%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255327755.746op/s; 255407822.320op/s] or [-0.016%; +0.016%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[61.004µs; 61.138µs] or [-0.110%; +0.110%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[16357483.350op/s; 16393450.070op/s] or [-0.110%; +0.110%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[53.724µs; 53.758µs] or [-0.032%; +0.032%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18601912.863op/s; 18613847.571op/s] or [-0.032%; +0.032%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.916µs; 3.917µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255312043.206op/s; 255387484.091op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[50.324µs; 50.342µs] or [-0.018%; +0.018%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[19864106.220op/s; 19871230.879op/s] or [-0.018%; +0.018%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[44.990µs; 45.013µs] or [-0.025%; +0.025%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[22215738.626op/s; 22227063.905op/s] or [-0.025%; +0.025%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[5.704µs; 5.705µs] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[175277700.295op/s; 175323216.317op/s] or [-0.013%; +0.013%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

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	14.957µs	15.361µs ± 0.196µs	15.327µs ± 0.132µs	15.477µs	15.719µs	15.879µs	15.931µs	3.94%	0.621	0.148	1.28%	0.014µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[15.334µs; 15.388µs] or [-0.177%; +0.177%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

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	4.983µs	5.070µs ± 0.049µs	5.084µs ± 0.038µs	5.104µs	5.143µs	5.145µs	5.146µs	1.22%	-0.149	-1.295	0.96%	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	[5.063µs; 5.077µs] or [-0.133%; +0.133%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
profile_serialize_compressed_pprof_timestamped_x1000	execution_time	912.302µs	915.898µs ± 2.976µs	915.363µs ± 1.122µs	916.636µs	919.921µs	927.378µs	941.003µs	2.80%	4.441	30.199	0.32%	0.210µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_serialize_compressed_pprof_timestamped_x1000	execution_time	[915.486µs; 916.311µs] or [-0.045%; +0.045%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

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	534.659µs	536.088µs ± 1.060µs	535.830µs ± 0.564µs	536.495µs	538.309µs	539.234µs	541.381µs	1.04%	1.575	3.285	0.20%	0.075µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1847126.789op/s	1865371.051op/s ± 3678.122op/s	1866262.837op/s ± 1962.822op/s	1868158.864op/s	1869357.314op/s	1870123.196op/s	1870350.803op/s	0.22%	-1.558	3.196	0.20%	260.083op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	380.269µs	381.224µs ± 0.461µs	381.180µs ± 0.339µs	381.519µs	382.083µs	382.357µs	382.556µs	0.36%	0.488	-0.258	0.12%	0.033µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2613999.353op/s	2623130.501op/s ± 3170.119op/s	2623431.601op/s ± 2332.253op/s	2625693.969op/s	2627524.653op/s	2628677.460op/s	2629716.482op/s	0.24%	-0.482	-0.266	0.12%	224.161op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	189.369µs	190.103µs ± 0.363µs	190.084µs ± 0.270µs	190.355µs	190.718µs	191.021µs	191.117µs	0.54%	0.352	-0.360	0.19%	0.026µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5232387.081op/s	5260330.546op/s ± 10031.753op/s	5260840.569op/s ± 7478.328op/s	5268210.686op/s	5274442.252op/s	5277628.812op/s	5280703.942op/s	0.38%	-0.343	-0.372	0.19%	709.352op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.819µs	37.933µs ± 0.053µs	37.922µs ± 0.032µs	37.963µs	38.033µs	38.068µs	38.115µs	0.51%	0.740	0.250	0.14%	0.004µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26236056.008op/s	26362513.182op/s ± 36843.926op/s	26369736.074op/s ± 22505.673op/s	26389602.181op/s	26410980.960op/s	26422340.902op/s	26441965.902op/s	0.27%	-0.733	0.235	0.14%	2605.259op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.747µs	46.019µs ± 0.155µs	46.002µs ± 0.073µs	46.075µs	46.225µs	46.421µs	47.397µs	3.03%	3.762	30.138	0.34%	0.011µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21098554.866op/s	21730594.309op/s ± 72156.504op/s	21738080.291op/s ± 34453.538op/s	21776102.470op/s	21816172.355op/s	21845869.159op/s	21859287.878op/s	0.56%	-3.585	28.107	0.33%	5102.235op/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	[535.942µs; 536.235µs] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1864861.299op/s; 1865880.804op/s] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[381.161µs; 381.288µs] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2622691.153op/s; 2623569.849op/s] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[190.053µs; 190.153µs] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5258940.242op/s; 5261720.851op/s] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.925µs; 37.940µs] or [-0.019%; +0.019%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26357406.968op/s; 26367619.396op/s] or [-0.019%; +0.019%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.997µs; 46.040µs] or [-0.047%; +0.047%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21720594.112op/s; 21740594.507op/s] or [-0.046%; +0.046%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
profile_add_sample_timestamped_x1000	execution_time	4.197ms	4.203ms ± 0.008ms	4.202ms ± 0.002ms	4.204ms	4.208ms	4.212ms	4.304ms	2.41%	10.966	137.862	0.18%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample_timestamped_x1000	execution_time	[4.202ms; 4.204ms] or [-0.026%; +0.026%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

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	34.846µs	35.379µs ± 0.856µs	35.003µs ± 0.068µs	35.072µs	37.196µs	37.234µs	38.392µs	9.68%	1.725	1.184	2.41%	0.061µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[35.260µs; 35.498µs] or [-0.335%; +0.335%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
receiver_entry_point/report/2598	execution_time	3.400ms	3.440ms ± 0.019ms	3.436ms ± 0.010ms	3.449ms	3.480ms	3.493ms	3.499ms	1.84%	0.918	0.427	0.56%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
receiver_entry_point/report/2598	execution_time	[3.438ms; 3.443ms] or [-0.078%; +0.078%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

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	158.696µs	159.902µs ± 0.379µs	159.866µs ± 0.189µs	160.076µs	160.467µs	161.548µs	161.988µs	1.33%	1.500	7.024	0.24%	0.027µs	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	[159.849µs; 159.954µs] or [-0.033%; +0.033%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

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	205.094µs	205.781µs ± 0.399µs	205.728µs ± 0.294µs	206.044µs	206.492µs	206.887µs	207.021µs	0.63%	0.640	-0.001	0.19%	0.028µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4830436.660op/s	4859555.622op/s ± 9410.877op/s	4860787.703op/s ± 6949.625op/s	4867529.686op/s	4872390.063op/s	4875031.192op/s	4875813.042op/s	0.31%	-0.631	-0.020	0.19%	665.450op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.572µs	18.673µs ± 0.056µs	18.666µs ± 0.025µs	18.690µs	18.791µs	18.852µs	18.916µs	1.34%	1.438	3.037	0.30%	0.004µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	52864091.349op/s	53552496.520op/s ± 160123.630op/s	53572563.614op/s ± 71017.522op/s	53643739.652op/s	53750433.060op/s	53839222.982op/s	53845823.891op/s	0.51%	-1.412	2.944	0.30%	11322.450op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.530µs	10.770µs ± 0.118µs	10.757µs ± 0.075µs	10.837µs	11.002µs	11.067µs	11.167µs	3.81%	0.691	0.377	1.09%	0.008µs	1	200
normalization/normalize_name/normalize_name/good	throughput	89549382.041op/s	92858027.065op/s ± 1008820.793op/s	92963018.959op/s ± 648259.060op/s	93577328.558op/s	94233230.324op/s	94661294.024op/s	94964971.699op/s	2.15%	-0.630	0.258	1.08%	71334.402op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	[205.726µs; 205.836µs] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4858251.365op/s; 4860859.879op/s] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.666µs; 18.681µs] or [-0.042%; +0.042%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[53530304.925op/s; 53574688.115op/s] or [-0.041%; +0.041%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.754µs; 10.787µs] or [-0.152%; +0.152%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[92718214.206op/s; 92997839.925op/s] or [-0.151%; +0.151%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
sdk_test_data/rules-based	execution_time	144.481µs	146.467µs ± 1.773µs	146.193µs ± 0.519µs	146.757µs	147.953µs	153.436µs	162.010µs	10.82%	5.329	37.882	1.21%	0.125µs	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	[146.221µs; 146.713µs] or [-0.168%; +0.168%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
profile_add_sample_frames_x1000	execution_time	4.163ms	4.169ms ± 0.003ms	4.169ms ± 0.002ms	4.171ms	4.174ms	4.177ms	4.183ms	0.33%	0.929	3.232	0.06%	0.000ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample_frames_x1000	execution_time	[4.169ms; 4.170ms] or [-0.009%; +0.009%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching deserializing traces from msgpack to their internal representation	execution_time	49.227ms	49.703ms ± 1.104ms	49.564ms ± 0.052ms	49.623ms	49.732ms	52.516ms	63.123ms	27.36%	10.223	113.723	2.22%	0.078ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching deserializing traces from msgpack to their internal representation	execution_time	[49.550ms; 49.856ms] or [-0.308%; +0.308%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
profile_add_sample2_frames_x1000	execution_time	741.863µs	742.978µs ± 0.509µs	742.903µs ± 0.275µs	743.227µs	743.961µs	744.514µs	744.830µs	0.26%	0.814	1.347	0.07%	0.036µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample2_frames_x1000	execution_time	[742.907µs; 743.048µs] or [-0.009%; +0.009%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

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	14.860ms	14.892ms ± 0.017ms	14.888ms ± 0.009ms	14.900ms	14.919ms	14.939ms	14.994ms	0.71%	1.687	6.701	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	[14.889ms; 14.894ms] or [-0.016%; +0.016%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
single_flag_killswitch/rules-based	execution_time	190.098ns	192.605ns ± 2.072ns	192.267ns ± 1.650ns	193.922ns	196.259ns	197.688ns	201.852ns	4.99%	0.967	1.099	1.07%	0.147ns	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	[192.318ns; 192.892ns] or [-0.149%; +0.149%]	None	None	None

Group 20

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

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	287.522µs	288.244µs ± 0.676µs	288.131µs ± 0.158µs	288.296µs	288.963µs	292.014µs	294.617µs	2.25%	6.109	47.252	0.23%	0.048µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[288.150µs; 288.337µs] or [-0.033%; +0.033%]	None	None	None

Group 21

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	85c5459	1774949653	kowalski/chore-fix-various-issues

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	14.769ms	14.830ms ± 0.030ms	14.828ms ± 0.016ms	14.845ms	14.876ms	14.925ms	15.020ms	1.29%	1.596	7.442	0.20%	0.002ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching serializing traces from their internal representation to msgpack	execution_time	[14.826ms; 14.834ms] or [-0.028%; +0.028%]	None	None	None

Baseline

Omitted due to size.

[dd-octo-sts]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	102.07 MB	102.07 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.76 MB	8.76 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	119.03 MB	119.03 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.36 MB	11.36 MB	0% (0 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.40 MB	27.40 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	80.69 KB	80.69 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	187.23 MB	187.23 MB	+0% (+8.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	926.11 MB	926.11 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.07 MB	9.07 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	80.69 KB	80.69 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	27.01 MB	27.01 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	61.33 MB	61.33 MB	0% (0 B) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	23.26 MB	23.26 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	81.94 KB	81.94 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	191.79 MB	191.75 MB	--.02% (-40.00 KB) 💪
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	911.12 MB	911.12 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	6.90 MB	6.90 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	81.94 KB	81.94 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	29.12 MB	29.12 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	57.69 MB	57.69 MB	0% (0 B) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	88.90 MB	88.90 MB	0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	10.34 MB	10.34 MB	0% (0 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	111.70 MB	111.70 MB	0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	12.09 MB	12.09 MB	0% (0 B) 👌

[yannham]

I am not a C++ expert, but I suppose one could also gate the whole for block with #ifdef. That being said, I'm not sure that this is any better than the proposed solution, which looks reasonable 👍

[Aaalibaba42]

If you are at least on c++20 you can assert(std::ranges::all_of(...)) instead of the whole loop ig