[PROTO] Ruby trace exporter (vibed)

[lloeki]

What does this PR do?

add necessary bits to build and expose the trace API for Ruby's trace exporter

Motivation

Getting the ball rolling on discussion with actual code

Additional Notes

DO NOT MERGE

How to test the change?

See DataDog/dd-trace-rb#5422

[github-actions]

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

• Base Branch: origin/main
• PR Branch: origin/lloeki/ruby-trace-exporter

Summary by Rule

Rule	Base Branch	PR Branch	Change

Annotation Counts by File

File	Base Branch	PR Branch	Change

Annotation Stats by Crate

Crate	Base Branch	PR Branch	Change
clippy-annotation-reporter	5	5	No change (0%)
datadog-ffe-ffi	1	1	No change (0%)
datadog-ipc	20	20	No change (0%)
datadog-live-debugger	6	6	No change (0%)
datadog-live-debugger-ffi	10	10	No change (0%)
datadog-profiling-replayer	4	4	No change (0%)
datadog-remote-config	3	3	No change (0%)
datadog-sidecar	55	55	No change (0%)
libdd-common	10	10	No change (0%)
libdd-common-ffi	12	12	No change (0%)
libdd-data-pipeline	5	5	No change (0%)
libdd-ddsketch	2	2	No change (0%)
libdd-dogstatsd-client	1	1	No change (0%)
libdd-profiling	13	13	No change (0%)
libdd-telemetry	19	19	No change (0%)
libdd-tinybytes	4	4	No change (0%)
libdd-trace-normalization	2	2	No change (0%)
libdd-trace-obfuscation	8	8	No change (0%)
libdd-trace-utils	15	15	No change (0%)
Total	195	195	No change (0%)

About This Report

This report tracks Clippy allow annotations for specific rules, showing how they've changed in this PR. Decreasing the number of these annotations generally improves code quality.

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2026-03-25 12:02:06

Comparing candidate commit 5338503 in PR branch lloeki/ruby-trace-exporter with baseline commit f10d348 in branch main.

Found 5 performance improvements and 13 performance regressions! Performance is the same for 43 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 ----------------------------------'

scenario:credit_card/is_card_number/ 378282246310005

• 🟥 execution_time [+5.529µs; +5.614µs] or [+8.138%; +8.263%]
• 🟥 throughput [-1123128.524op/s; -1107230.668op/s] or [-7.631%; -7.523%]

scenario:credit_card/is_card_number/378282246310005

• 🟥 execution_time [+5.638µs; +5.708µs] or [+8.687%; +8.796%]
• 🟥 throughput [-1245568.234op/s; -1231276.357op/s] or [-8.084%; -7.991%]

scenario:credit_card/is_card_number/37828224631000521389798

• 🟥 execution_time [+7.471µs; +7.491µs] or [+16.363%; +16.408%]
• 🟥 throughput [-3088364.202op/s; -3078984.025op/s] or [-14.100%; -14.057%]

scenario:credit_card/is_card_number/x371413321323331

• 🟩 execution_time [-389.698ns; -387.913ns] or [-5.700%; -5.674%]
• 🟩 throughput [+8798817.083op/s; +8840205.290op/s] or [+6.016%; +6.044%]

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

• 🟥 execution_time [+4.969µs; +5.013µs] or [+9.303%; +9.385%]
• 🟥 throughput [-1606038.899op/s; -1593126.198op/s] or [-8.579%; -8.510%]

scenario:credit_card/is_card_number_no_luhn/378282246310005

• 🟥 execution_time [+5.341µs; +5.396µs] or [+10.638%; +10.747%]
• 🟥 throughput [-1932634.632op/s; -1914878.574op/s] or [-9.703%; -9.614%]

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

• 🟥 execution_time [+7.490µs; +7.515µs] or [+16.415%; +16.470%]
• 🟥 throughput [-3100550.214op/s; -3088879.453op/s] or [-14.148%; -14.094%]

scenario:credit_card/is_card_number_no_luhn/x371413321323331

• 🟩 execution_time [-393.393ns; -391.076ns] or [-5.755%; -5.721%]
• 🟩 throughput [+8878023.901op/s; +8932446.900op/s] or [+6.069%; +6.106%]

scenario:sql/obfuscate_sql_string

• 🟩 execution_time [-197.263µs; -197.066µs] or [-68.628%; -68.559%]

scenario:two way interface

• 🟥 execution_time [+754.544ns; +872.650ns] or [+5.387%; +6.230%]

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	5338503	1774439045	lloeki/ruby-trace-exporter

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	250.051ns	262.096ns ± 13.897ns	256.369ns ± 3.400ns	262.538ns	297.001ns	301.933ns	302.197ns	17.88%	1.702	1.644	5.29%	0.983ns	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	[260.170ns; 264.022ns] or [-0.735%; +0.735%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5338503	1774439045	lloeki/ruby-trace-exporter

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	13.050ms	13.082ms ± 0.014ms	13.080ms ± 0.010ms	13.092ms	13.106ms	13.113ms	13.119ms	0.29%	0.214	-0.436	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	[13.080ms; 13.084ms] or [-0.015%; +0.015%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5338503	1774439045	lloeki/ruby-trace-exporter

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	2.328µs	2.388µs ± 0.019µs	2.388µs ± 0.007µs	2.396µs	2.422µs	2.432µs	2.436µs	2.00%	-0.765	2.893	0.77%	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	[2.385µs; 2.390µs] or [-0.108%; +0.108%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5338503	1774439045	lloeki/ruby-trace-exporter

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	14.295µs	14.821µs ± 0.417µs	14.739µs ± 0.144µs	14.896µs	15.344µs	17.159µs	17.618µs	19.54%	4.218	23.364	2.81%	0.030µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[14.764µs; 14.879µs] or [-0.390%; +0.390%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5338503	1774439045	lloeki/ruby-trace-exporter

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	495.314µs	496.466µs ± 1.119µs	496.216µs ± 0.288µs	496.516µs	498.502µs	500.082µs	505.269µs	1.82%	4.525	27.512	0.22%	0.079µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1979144.000op/s	2014247.489op/s ± 4495.097op/s	2015252.100op/s ± 1172.237op/s	2016395.028op/s	2017497.543op/s	2017953.610op/s	2018923.142op/s	0.18%	-4.464	26.842	0.22%	317.851op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	371.847µs	372.508µs ± 0.305µs	372.512µs ± 0.215µs	372.714µs	373.018µs	373.143µs	373.583µs	0.29%	0.161	0.044	0.08%	0.022µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2676779.462op/s	2684508.470op/s ± 2194.612op/s	2684478.845op/s ± 1552.658op/s	2686096.881op/s	2688065.649op/s	2688968.454op/s	2689276.230op/s	0.18%	-0.156	0.037	0.08%	155.182op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	167.895µs	168.318µs ± 0.180µs	168.326µs ± 0.109µs	168.430µs	168.616µs	168.729µs	168.788µs	0.27%	0.005	-0.176	0.11%	0.013µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5924574.653op/s	5941127.713op/s ± 6339.603op/s	5940845.482op/s ± 3854.794op/s	5945284.924op/s	5952134.801op/s	5954325.538op/s	5956108.467op/s	0.26%	0.001	-0.178	0.11%	448.278op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.853µs	37.054µs ± 0.115µs	37.059µs ± 0.103µs	37.148µs	37.235µs	37.300µs	37.351µs	0.79%	0.203	-1.036	0.31%	0.008µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26772903.257op/s	26987541.136op/s ± 83874.862op/s	26984020.325op/s ± 74708.539op/s	27064601.671op/s	27101454.710op/s	27122865.084op/s	27134608.129op/s	0.56%	-0.194	-1.046	0.31%	5930.848op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	46.272µs	46.407µs ± 0.064µs	46.396µs ± 0.035µs	46.438µs	46.508µs	46.579µs	46.890µs	1.06%	2.519	14.868	0.14%	0.005µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21326478.529op/s	21548596.880op/s ± 29761.486op/s	21553512.525op/s ± 16437.084op/s	21568746.457op/s	21582295.963op/s	21591425.653op/s	21611445.421op/s	0.27%	-2.476	14.454	0.14%	2104.455op/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	[496.311µs; 496.621µs] or [-0.031%; +0.031%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2013624.511op/s; 2014870.466op/s] or [-0.031%; +0.031%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[372.466µs; 372.550µs] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2684204.318op/s; 2684812.622op/s] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[168.294µs; 168.343µs] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5940249.105op/s; 5942006.321op/s] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.039µs; 37.070µs] or [-0.043%; +0.043%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26975916.887op/s; 26999165.385op/s] or [-0.043%; +0.043%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.398µs; 46.416µs] or [-0.019%; +0.019%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21544472.224op/s; 21552721.535op/s] or [-0.019%; +0.019%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5338503	1774439045	lloeki/ruby-trace-exporter

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	3.408ms	3.440ms ± 0.019ms	3.435ms ± 0.009ms	3.449ms	3.476ms	3.497ms	3.511ms	2.20%	1.155	1.332	0.55%	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 [-0.076%; +0.076%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5338503	1774439045	lloeki/ruby-trace-exporter

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	5.424µs	5.513µs ± 0.031µs	5.512µs ± 0.021µs	5.533µs	5.560µs	5.607µs	5.618µs	1.94%	0.423	0.720	0.56%	0.002µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[5.509µs; 5.517µs] or [-0.078%; +0.078%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5338503	1774439045	lloeki/ruby-trace-exporter

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	190.004ns	192.251ns ± 1.949ns	192.131ns ± 1.433ns	192.976ns	195.781ns	198.158ns	200.209ns	4.20%	1.184	1.565	1.01%	0.138ns	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	[191.981ns; 192.521ns] or [-0.141%; +0.141%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5338503	1774439045	lloeki/ruby-trace-exporter

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	4.163ms	4.168ms ± 0.009ms	4.166ms ± 0.001ms	4.167ms	4.173ms	4.201ms	4.261ms	2.29%	7.842	74.889	0.20%	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	[4.166ms; 4.169ms] or [-0.028%; +0.028%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5338503	1774439045	lloeki/ruby-trace-exporter

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	13.958ms	14.016ms ± 0.034ms	14.011ms ± 0.014ms	14.025ms	14.070ms	14.147ms	14.216ms	1.46%	2.452	8.886	0.24%	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	[14.012ms; 14.021ms] or [-0.033%; +0.033%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5338503	1774439045	lloeki/ruby-trace-exporter

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	160.647µs	161.345µs ± 0.351µs	161.291µs ± 0.117µs	161.417µs	161.870µs	162.035µs	164.834µs	2.20%	5.180	47.673	0.22%	0.025µs	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	[161.297µs; 161.394µs] or [-0.030%; +0.030%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5338503	1774439045	lloeki/ruby-trace-exporter

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	144.769µs	146.473µs ± 1.629µs	146.182µs ± 0.460µs	146.669µs	148.069µs	153.127µs	161.056µs	10.17%	5.362	38.819	1.11%	0.115µs	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	[146.247µs; 146.698µs] or [-0.154%; +0.154%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5338503	1774439045	lloeki/ruby-trace-exporter

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	49.720ms	50.031ms ± 0.922ms	49.906ms ± 0.063ms	49.966ms	50.198ms	54.253ms	59.820ms	19.87%	8.469	77.122	1.84%	0.065ms	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	[49.904ms; 50.159ms] or [-0.255%; +0.255%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5338503	1774439045	lloeki/ruby-trace-exporter

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	4.189ms	4.193ms ± 0.002ms	4.193ms ± 0.001ms	4.195ms	4.197ms	4.200ms	4.205ms	0.28%	1.160	3.699	0.05%	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	[4.193ms; 4.194ms] or [-0.007%; +0.007%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5338503	1774439045	lloeki/ruby-trace-exporter

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	33.989µs	34.476µs ± 0.793µs	34.119µs ± 0.040µs	34.177µs	36.142µs	36.164µs	37.675µs	10.42%	1.801	1.630	2.29%	0.056µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[34.366µs; 34.586µs] or [-0.319%; +0.319%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5338503	1774439045	lloeki/ruby-trace-exporter

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	3.892µs	3.911µs ± 0.002µs	3.911µs ± 0.001µs	3.911µs	3.913µs	3.915µs	3.921µs	0.27%	-2.989	41.997	0.05%	0.000µs	1	200
credit_card/is_card_number/	throughput	255022690.838op/s	255710906.807op/s ± 129848.203op/s	255720279.203op/s ± 43829.579op/s	255763093.386op/s	255815511.374op/s	255832188.634op/s	256936145.944op/s	0.48%	3.043	42.424	0.05%	9181.654op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	80.167µs	80.749µs ± 0.257µs	80.697µs ± 0.171µs	80.936µs	81.213µs	81.381µs	81.725µs	1.27%	0.707	0.607	0.32%	0.018µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12236086.607op/s	12384186.650op/s ± 39367.922op/s	12392002.205op/s ± 26163.447op/s	12412302.164op/s	12436612.645op/s	12453556.896op/s	12473978.175op/s	0.66%	-0.687	0.554	0.32%	2783.732op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	73.013µs	73.520µs ± 0.297µs	73.497µs ± 0.220µs	73.714µs	74.029µs	74.292µs	74.553µs	1.44%	0.612	0.303	0.40%	0.021µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13413247.357op/s	13602020.410op/s ± 54903.286op/s	13605979.153op/s ± 40897.185op/s	13646833.545op/s	13681210.300op/s	13689334.778op/s	13696272.469op/s	0.66%	-0.589	0.244	0.40%	3882.249op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.892µs	3.913µs ± 0.003µs	3.912µs ± 0.001µs	3.914µs	3.919µs	3.922µs	3.923µs	0.28%	-0.422	9.707	0.08%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254905001.513op/s	255571171.937op/s ± 202079.000op/s	255612167.140op/s ± 73845.636op/s	255678563.631op/s	255784901.791op/s	255866344.191op/s	256909570.846op/s	0.51%	0.450	9.866	0.08%	14289.143op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	70.075µs	70.573µs ± 0.249µs	70.573µs ± 0.167µs	70.703µs	70.957µs	71.308µs	71.580µs	1.43%	0.805	1.559	0.35%	0.018µs	1	200
credit_card/is_card_number/378282246310005	throughput	13970452.886op/s	14169906.456op/s ± 49924.437op/s	14169636.594op/s ± 33535.325op/s	14206316.131op/s	14242156.815op/s	14256505.289op/s	14270342.801op/s	0.71%	-0.775	1.458	0.35%	3530.191op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	53.065µs	53.137µs ± 0.035µs	53.135µs ± 0.024µs	53.161µs	53.192µs	53.224µs	53.257µs	0.23%	0.336	-0.075	0.07%	0.002µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	18776852.016op/s	18819348.651op/s ± 12489.850op/s	18819828.472op/s ± 8593.219op/s	18828103.475op/s	18838954.722op/s	18842333.566op/s	18844739.685op/s	0.13%	-0.332	-0.081	0.07%	883.166op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.437µs	6.448µs ± 0.005µs	6.448µs ± 0.004µs	6.451µs	6.457µs	6.462µs	6.464µs	0.25%	0.494	-0.079	0.08%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	154699020.140op/s	155084635.165op/s ± 126479.812op/s	155093082.849op/s ± 90114.706op/s	155185351.948op/s	155260521.535op/s	155316753.694op/s	155360664.122op/s	0.17%	-0.490	-0.085	0.08%	8943.473op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.894µs	3.912µs ± 0.003µs	3.912µs ± 0.001µs	3.913µs	3.917µs	3.920µs	3.921µs	0.22%	-1.115	13.222	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255036980.362op/s	255596839.118op/s ± 168737.523op/s	255610441.703op/s ± 70276.432op/s	255675123.743op/s	255787382.163op/s	255890130.550op/s	256809805.312op/s	0.47%	1.143	13.407	0.07%	11931.545op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.695µs	65.165µs ± 0.132µs	65.138µs ± 0.075µs	65.226µs	65.427µs	65.547µs	65.689µs	0.85%	0.875	2.056	0.20%	0.009µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15223148.121op/s	15345729.971op/s ± 31007.748op/s	15351959.880op/s ± 17650.558op/s	15366275.253op/s	15381182.508op/s	15390541.848op/s	15457138.860op/s	0.69%	-0.856	2.035	0.20%	2192.579op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	58.196µs	58.410µs ± 0.156µs	58.385µs ± 0.083µs	58.467µs	58.711µs	58.873µs	59.368µs	1.68%	1.931	6.916	0.27%	0.011µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	16843983.872op/s	17120415.325op/s ± 45542.763op/s	17127567.535op/s ± 24344.524op/s	17151642.244op/s	17173020.412op/s	17178885.846op/s	17183172.519op/s	0.32%	-1.891	6.616	0.27%	3220.360op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.894µs	3.913µs ± 0.003µs	3.913µs ± 0.002µs	3.915µs	3.917µs	3.919µs	3.921µs	0.21%	-1.022	8.120	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255036446.174op/s	255571186.830op/s ± 192150.166op/s	255571575.289op/s ± 119756.775op/s	255691268.143op/s	255801769.456op/s	255875141.425op/s	256837507.638op/s	0.50%	1.043	8.262	0.07%	13587.069op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	55.186µs	55.577µs ± 0.194µs	55.560µs ± 0.119µs	55.680µs	55.930µs	56.155µs	56.329µs	1.38%	0.923	1.647	0.35%	0.014µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17752836.187op/s	17993215.150op/s ± 62557.597op/s	17998515.401op/s ± 38466.366op/s	18036291.320op/s	18079142.125op/s	18108915.258op/s	18120401.760op/s	0.68%	-0.894	1.560	0.35%	4423.490op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	53.073µs	53.132µs ± 0.034µs	53.126µs ± 0.019µs	53.146µs	53.197µs	53.256µs	53.281µs	0.29%	1.454	3.204	0.06%	0.002µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	18768517.153op/s	18821112.593op/s ± 11923.282op/s	18823024.184op/s ± 6721.096op/s	18828951.776op/s	18836655.060op/s	18839191.930op/s	18842056.907op/s	0.10%	-1.448	3.180	0.06%	843.103op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.428µs	6.444µs ± 0.007µs	6.443µs ± 0.005µs	6.448µs	6.456µs	6.465µs	6.469µs	0.41%	0.717	0.566	0.11%	0.001µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	154574043.007op/s	155195168.071op/s ± 176784.649op/s	155205068.820op/s ± 121220.160op/s	155325803.504op/s	155435309.547op/s	155475595.191op/s	155568386.581op/s	0.23%	-0.710	0.548	0.11%	12500.562op/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	[3.910µs; 3.911µs] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number/	throughput	[255692911.095op/s; 255728902.519op/s] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[80.713µs; 80.785µs] or [-0.044%; +0.044%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12378730.634op/s; 12389642.665op/s] or [-0.044%; +0.044%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[73.478µs; 73.561µs] or [-0.056%; +0.056%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13594411.342op/s; 13609629.477op/s] or [-0.056%; +0.056%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255543165.731op/s; 255599178.143op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[70.538µs; 70.608µs] or [-0.049%; +0.049%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14162987.409op/s; 14176825.503op/s] or [-0.049%; +0.049%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[53.132µs; 53.142µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[18817617.678op/s; 18821079.624op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.447µs; 6.449µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[155067106.280op/s; 155102164.051op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.912µs; 3.913µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255573453.720op/s; 255620224.516op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[65.147µs; 65.183µs] or [-0.028%; +0.028%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15341432.595op/s; 15350027.346op/s] or [-0.028%; +0.028%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[58.389µs; 58.432µs] or [-0.037%; +0.037%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17114103.536op/s; 17126727.113op/s] or [-0.037%; +0.037%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255544556.665op/s; 255597816.995op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[55.550µs; 55.604µs] or [-0.048%; +0.048%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[17984545.269op/s; 18001885.031op/s] or [-0.048%; +0.048%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[53.127µs; 53.137µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[18819460.141op/s; 18822765.045op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.442µs; 6.445µs] or [-0.016%; +0.016%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[155170667.419op/s; 155219668.723op/s] or [-0.016%; +0.016%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5338503	1774439045	lloeki/ruby-trace-exporter

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	4.942µs	5.021µs ± 0.043µs	5.012µs ± 0.035µs	5.061µs	5.090µs	5.100µs	5.103µs	1.81%	0.297	-1.246	0.86%	0.003µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
ip_address/quantize_peer_ip_address_benchmark	execution_time	[5.015µs; 5.027µs] or [-0.119%; +0.119%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5338503	1774439045	lloeki/ruby-trace-exporter

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	185.569µs	185.937µs ± 0.231µs	185.899µs ± 0.144µs	186.068µs	186.274µs	186.481µs	187.688µs	0.96%	2.406	15.214	0.12%	0.016µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5327977.650op/s	5378177.716op/s ± 6662.759op/s	5379252.787op/s ± 4168.979op/s	5382794.396op/s	5386352.675op/s	5388331.167op/s	5388834.013op/s	0.18%	-2.364	14.811	0.12%	471.128op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.793µs	17.883µs ± 0.104µs	17.874µs ± 0.020µs	17.895µs	17.935µs	17.962µs	19.278µs	7.85%	11.995	157.772	0.58%	0.007µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	51871899.946op/s	55921068.225op/s ± 305571.244op/s	55946357.335op/s ± 62982.311op/s	56003024.263op/s	56108410.696op/s	56153439.506op/s	56202540.733op/s	0.46%	-11.712	152.764	0.55%	21607.150op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.549µs	10.593µs ± 0.021µs	10.586µs ± 0.012µs	10.610µs	10.631µs	10.646µs	10.656µs	0.66%	0.634	-0.165	0.19%	0.001µs	1	200
normalization/normalize_name/normalize_name/good	throughput	93844381.659op/s	94402687.206op/s ± 184008.594op/s	94463705.746op/s ± 103515.675op/s	94529041.523op/s	94651558.388op/s	94724115.093op/s	94793794.552op/s	0.35%	-0.626	-0.177	0.19%	13011.372op/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	[185.905µs; 185.969µs] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5377254.322op/s; 5379101.111op/s] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.868µs; 17.897µs] or [-0.081%; +0.081%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55878718.989op/s; 55963417.460op/s] or [-0.076%; +0.076%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.590µs; 10.596µs] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[94377185.385op/s; 94428189.028op/s] or [-0.027%; +0.027%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5338503	1774439045	lloeki/ruby-trace-exporter

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	724.043µs	725.205µs ± 0.542µs	725.115µs ± 0.313µs	725.450µs	726.321µs	726.932µs	727.283µs	0.30%	1.021	1.655	0.07%	0.038µs	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	[725.130µs; 725.280µs] or [-0.010%; +0.010%]	None	None	None

Group 20

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5338503	1774439045	lloeki/ruby-trace-exporter

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	90.024µs	90.274µs ± 0.244µs	90.244µs ± 0.051µs	90.307µs	90.438µs	90.529µs	93.445µs	3.55%	11.121	142.091	0.27%	0.017µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[90.240µs; 90.308µs] or [-0.037%; +0.037%]	None	None	None

Baseline

Omitted due to size.

[codecov-commenter]

Codecov Report

❌ Patch coverage is 60.85106% with 184 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.22%. Comparing base (959c0cd) to head (682eca3).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1661      +/-   ##
==========================================
- Coverage   71.24%   71.22%   -0.03%     
==========================================
  Files         427      428       +1     
  Lines       62805    63275     +470     
==========================================
+ Hits        44748    45065     +317     
- Misses      18057    18210     +153     

Components	Coverage Δ
libdd-crashtracker	62.90% <ø> (ø)
libdd-crashtracker-ffi	15.63% <ø> (ø)
libdd-alloc	98.77% <ø> (ø)
libdd-data-pipeline	85.34% <60.85%> (-2.04%)	⬇️
libdd-data-pipeline-ffi	69.96% <60.85%> (-2.87%)	⬇️
libdd-common	79.73% <ø> (ø)
libdd-common-ffi	73.40% <ø> (ø)
libdd-telemetry	62.48% <ø> (ø)
libdd-telemetry-ffi	16.75% <ø> (ø)
libdd-dogstatsd-client	82.64% <ø> (ø)
datadog-ipc	80.74% <ø> (ø)
libdd-profiling	81.60% <ø> (ø)
libdd-profiling-ffi	63.65% <ø> (ø)
datadog-sidecar	33.36% <ø> (ø)
datdog-sidecar-ffi	12.41% <ø> (ø)
spawn-worker	54.69% <ø> (ø)
libdd-tinybytes	93.80% <ø> (+0.64%)	⬆️
libdd-trace-normalization	81.71% <ø> (ø)
libdd-trace-obfuscation	94.67% <ø> (ø)
libdd-trace-protobuf	68.00% <ø> (ø)
libdd-trace-utils	88.97% <ø> (ø)
datadog-tracer-flare	90.45% <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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[dd-octo-sts]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	97.32 MB	98.06 MB	+.76% (+761.17 KB) 🔍
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.51 MB	8.57 MB	+.73% (+64.00 KB) 🔍

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	112.92 MB	113.72 MB	+.70% (+815.97 KB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.12 MB	11.21 MB	+.76% (+86.96 KB) 🔍

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.16 MB	27.36 MB	+.70% (+197.50 KB) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	76.26 KB	81.97 KB	+7.48% (+5.71 KB) 🚨
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	185.99 MB	187.19 MB	+.64% (+1.19 MB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	916.65 MB	932.56 MB	+1.73% (+15.91 MB) ⚠️
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.93 MB	10.04 MB	+1.08% (+110.00 KB) ⚠️
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	76.26 KB	81.97 KB	+7.48% (+5.71 KB) 🚨
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	24.76 MB	24.98 MB	+.88% (+224.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	51.43 MB	51.88 MB	+.87% (+460.38 KB) 🔍

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	22.97 MB	23.14 MB	+.75% (+176.50 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	77.44 KB	83.26 KB	+7.50% (+5.81 KB) 🚨
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	190.17 MB	191.44 MB	+.66% (+1.27 MB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	900.31 MB	916.34 MB	+1.78% (+16.03 MB) ⚠️
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	7.53 MB	7.60 MB	+.97% (+75.00 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	77.44 KB	83.26 KB	+7.50% (+5.81 KB) 🚨
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	26.52 MB	26.76 MB	+.91% (+248.00 KB) 🔍
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	47.06 MB	47.47 MB	+.87% (+424.01 KB) 🔍

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	85.27 MB	85.94 MB	+.79% (+692.58 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	10.04 MB	10.12 MB	+.73% (+76.00 KB) 🔍

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	105.90 MB	106.62 MB	+.67% (+735.66 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.79 MB	11.88 MB	+.77% (+94.01 KB) 🔍

[paullegranddc]

The code is a bit verbose but LGTM overall

[ekump]

should we include the span key that has the invalid input in the error? It would make debugging easier, but we'd also have to pass the &str of the key into this function, which feels kinda weird.

[lloeki]

Yeah it feels weird. Maybe a job for the caller instead.