feat(stats)!: implement span derived primary tags in libdd-trace-stats by duncanpharvey · Pull Request #1815 · DataDog/libdatadog

duncanpharvey · 2026-03-27T19:04:40Z

What does this PR do?

Add span derived primary tags to the stats aggregation key and populate ClientGroupedStats.span_derived_primary_tags with the related key/value pairs when the span derived primary tag keys are provided.

Motivation

Support span derived primary tags for Serverless.

Additional Notes

Span derived primary tags still needs to be implemented in libdd-data-pipeline. Omitted from this PR since the goal of this PR is to support span derived primary tags for Serverless without affecting other teams.

libdatadog/libdd-data-pipeline/src/trace_exporter/stats.rs

Line 75 in 62181a8

vec![], // TODO: Add span-derived primary tags

How to test the change?

Unit test for aggregating by span derived primary tags
Deployed to Azure Function with DD_APM_SPAN_DERIVED_PRIMARY_TAGS configured and confirmed the configured tags appear on trace metrics.

github-actions · 2026-03-27T19:07:53Z

📚 Documentation Check Results

⚠️ 1426 documentation warning(s) found

📦 `libdd-data-pipeline` - 865 warning(s)

📦 `libdd-trace-stats` - 561 warning(s)

Updated: 2026-03-30 16:32:41 UTC | Commit: c02d926 | missing-docs job results

github-actions · 2026-03-27T19:10:46Z

🔒 Cargo Deny Results

⚠️ 1 issue(s) found, showing only errors (advisories, bans, sources)

📦 `libdd-data-pipeline` - 1 error(s)

Show output

error[vulnerability]: Denial of Service via Stack Exhaustion
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:276:1
    │
276 │ time 0.3.41 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
    │
    ├ ID: RUSTSEC-2026-0009
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0009
    ├ ## Impact
      
      When user-provided input is provided to any type that parses with the RFC 2822 format, a denial of
      service attack via stack exhaustion is possible. The attack relies on formally deprecated and
      rarely-used features that are part of the RFC 2822 format used in a malicious manner. Ordinary,
      non-malicious input will never encounter this scenario.
      
      ## Patches
      
      A limit to the depth of recursion was added in v0.3.47. From this version, an error will be returned
      rather than exhausting the stack.
      
      ## Workarounds
      
      Limiting the length of user input is the simplest way to avoid stack exhaustion, as the amount of
      the stack consumed would be at most a factor of the length of the input.
    ├ Announcement: https://github.com/time-rs/time/blob/main/CHANGELOG.md#0347-2026-02-05
    ├ Solution: Upgrade to >=0.3.47 (try `cargo update -p time`)
    ├ time v0.3.41
      └── tracing-appender v0.2.3
          └── libdd-log v1.0.0
              └── (dev) libdd-data-pipeline v3.0.1

advisories FAILED, bans ok, sources ok

📦 `libdd-trace-stats` - ✅ No issues

Updated: 2026-03-30 16:35:35 UTC | Commit: c02d926 | dependency-check job results

github-actions · 2026-03-27T19:11:49Z

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

Base Branch: origin/main
PR Branch: origin/duncan-harvey/libdd-trace-stats-span-derived-primary-tags

Summary by Rule

Rule	Base Branch	PR Branch	Change
unwrap_used	1	1	No change (0%)
Total	1	1	No change (0%)

Annotation Counts by File

File	Base Branch	PR Branch	Change
`libdd-data-pipeline/src/stats_exporter.rs`	1	1	No change (0%)

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.

codecov-commenter · 2026-03-27T19:22:06Z

Codecov Report

❌ Patch coverage is 98.78049% with 3 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.39%. Comparing base (102231d) to head (037a07b).
⚠️ Report is 8 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1815      +/-   ##
==========================================
+ Coverage   71.20%   71.39%   +0.19%     
==========================================
  Files         414      423       +9     
  Lines       65914    66841     +927     
==========================================
+ Hits        46931    47720     +789     
- Misses      18983    19121     +138

Components	Coverage Δ
libdd-crashtracker	`65.22% <ø> (-0.11%)`	⬇️
libdd-crashtracker-ffi	`34.47% <ø> (-0.77%)`	⬇️
libdd-alloc	`98.77% <ø> (ø)`
libdd-data-pipeline	`87.06% <100.00%> (-0.22%)`	⬇️
libdd-data-pipeline-ffi	`72.91% <ø> (-1.26%)`	⬇️
libdd-common	`80.19% <ø> (+0.40%)`	⬆️
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	`72.48% <ø> (-0.08%)`	⬇️
libdd-profiling	`81.61% <ø> (-0.02%)`	⬇️
libdd-profiling-ffi	`64.94% <ø> (ø)`
datadog-sidecar	`30.18% <ø> (-0.52%)`	⬇️
datdog-sidecar-ffi	`6.52% <ø> (-2.40%)`	⬇️
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> (+0.08%)`	⬆️
datadog-tracer-flare	`86.88% <ø> (ø)`
libdd-log	`74.69% <ø> (ø)`

🚀 New features to boost your workflow:

❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

datadog-prod-us1-5 · 2026-03-27T19:22:41Z

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 98.78%
• Overall Coverage: 71.39% (+0.17%)

_{This comment will be updated automatically if new data arrives.

🔗 Commit SHA: 037a07b | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!}

pr-commenter · 2026-03-30T14:51:08Z

Benchmarks

Comparison

Benchmark execution time: 2026-03-30 16:50:11

Comparing candidate commit 037a07b in PR branch duncan-harvey/libdd-trace-stats-span-derived-primary-tags with baseline commit 29678bd in branch main.

Found 8 performance improvements and 15 performance regressions! Performance is the same for 39 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 [+5.238µs; +5.342µs] or [+7.735%; +7.889%]
🟥 throughput [-1079683.106op/s; -1060036.959op/s] or [-7.311%; -7.178%]

scenario:credit_card/is_card_number/378282246310005

🟥 execution_time [+4.871µs; +4.943µs] or [+7.523%; +7.635%]
🟥 throughput [-1095525.681op/s; -1080484.998op/s] or [-7.093%; -6.996%]

scenario:credit_card/is_card_number/37828224631000521389798

🟥 execution_time [+7.335µs; +7.361µs] or [+16.324%; +16.382%]
🟥 throughput [-3133945.483op/s; -3122002.188op/s] or [-14.082%; -14.028%]

scenario:credit_card/is_card_number_no_luhn/ 3782-8224-6310-005

🟥 execution_time [+3.661µs; +3.797µs] or [+6.025%; +6.250%]
🟥 throughput [-970652.811op/s; -934446.337op/s] or [-5.897%; -5.677%]

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

🟥 execution_time [+4.318µs; +4.374µs] or [+8.035%; +8.139%]
🟥 throughput [-1400788.953op/s; -1383299.865op/s] or [-7.528%; -7.434%]

scenario:credit_card/is_card_number_no_luhn/378282246310005

🟥 execution_time [+4.510µs; +4.578µs] or [+8.954%; +9.089%]
🟥 throughput [-1654026.004op/s; -1631214.292op/s] or [-8.331%; -8.216%]

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

🟥 execution_time [+7.313µs; +7.339µs] or [+16.272%; +16.330%]
🟥 throughput [-3124508.827op/s; -3112545.058op/s] or [-14.043%; -13.989%]

scenario:normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...

🟩 execution_time [-19.653µs; -19.508µs] or [-9.548%; -9.478%]
🟩 throughput [+508958.148op/s; +512539.689op/s] or [+10.476%; +10.549%]

scenario:normalization/normalize_name/normalize_name/bad-name

🟩 execution_time [-784.537ns; -762.170ns] or [-4.209%; -4.089%]
🟩 throughput [+2289285.660op/s; +2356444.471op/s] or [+4.267%; +4.392%]

scenario:normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...

🟩 execution_time [-39.939µs; -39.508µs] or [-7.443%; -7.363%]
🟩 throughput [+148216.109op/s; +149757.705op/s] or [+7.953%; +8.036%]

scenario:normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters

🟩 execution_time [-21.690µs; -21.573µs] or [-11.395%; -11.334%]
🟩 throughput [+671845.470op/s; +675373.443op/s] or [+12.788%; +12.855%]

scenario:single_flag_killswitch/rules-based

🟥 execution_time [+50.631ns; +51.860ns] or [+26.251%; +26.888%]

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	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

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	495.786µs	496.862µs ± 0.660µs	496.780µs ± 0.387µs	497.150µs	498.085µs	498.999µs	499.681µs	0.58%	1.184	2.143	0.13%	0.047µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	2001278.372op/s	2012636.640op/s ± 2671.171op/s	2012961.797op/s ± 1569.578op/s	2014584.698op/s	2016004.455op/s	2016710.800op/s	2016998.592op/s	0.20%	-1.173	2.099	0.13%	188.880op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	370.892µs	371.700µs ± 0.423µs	371.627µs ± 0.267µs	371.920µs	372.386µs	372.884µs	373.221µs	0.43%	0.748	0.682	0.11%	0.030µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2679381.068op/s	2690343.867op/s ± 3060.185op/s	2690870.777op/s ± 1931.116op/s	2692552.082op/s	2694588.840op/s	2695600.961op/s	2696203.300op/s	0.20%	-0.741	0.663	0.11%	216.388op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	168.231µs	168.711µs ± 0.242µs	168.683µs ± 0.166µs	168.870µs	169.152µs	169.229µs	169.597µs	0.54%	0.485	0.046	0.14%	0.017µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5896321.820op/s	5927309.584op/s ± 8496.634op/s	5928291.935op/s ± 5829.195op/s	5933810.074op/s	5939924.258op/s	5943064.082op/s	5944203.558op/s	0.27%	-0.477	0.031	0.14%	600.803op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.800µs	37.067µs ± 0.120µs	37.090µs ± 0.078µs	37.153µs	37.232µs	37.317µs	37.322µs	0.63%	-0.272	-0.748	0.32%	0.008µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26793547.215op/s	26978223.158op/s ± 87219.274op/s	26961619.349op/s ± 56705.084op/s	27046771.521op/s	27128716.692op/s	27147786.289op/s	27174081.069op/s	0.79%	0.284	-0.747	0.32%	6167.334op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	46.243µs	46.450µs ± 0.145µs	46.425µs ± 0.058µs	46.486µs	46.648µs	46.826µs	47.826µs	3.02%	4.725	39.368	0.31%	0.010µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	20909177.503op/s	21528761.402op/s ± 66313.742op/s	21540141.673op/s ± 27012.519op/s	21565468.509op/s	21601984.185op/s	21609452.449op/s	21624754.289op/s	0.39%	-4.551	37.122	0.31%	4689.090op/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	[496.770µs; 496.953µs] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2012266.441op/s; 2013006.838op/s] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[371.642µs; 371.759µs] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2689919.755op/s; 2690767.979op/s] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[168.677µs; 168.744µs] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5926132.032op/s; 5928487.135op/s] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.051µs; 37.084µs] or [-0.045%; +0.045%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26966135.406op/s; 26990310.911op/s] or [-0.045%; +0.045%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.430µs; 46.470µs] or [-0.043%; +0.043%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21519570.955op/s; 21537951.849op/s] or [-0.043%; +0.043%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

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	927.597µs	932.152µs ± 2.944µs	931.519µs ± 1.290µs	933.221µs	936.716µs	939.299µs	957.530µs	2.79%	3.663	26.487	0.32%	0.208µs	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	[931.744µs; 932.560µs] or [-0.044%; +0.044%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

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	33.161µs	33.808µs ± 1.101µs	33.313µs ± 0.061µs	33.392µs	36.201µs	36.260µs	36.910µs	10.80%	1.700	0.952	3.25%	0.078µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.655µs; 33.961µs] or [-0.451%; +0.451%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

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	238.861ns	244.119ns ± 3.952ns	243.566ns ± 2.451ns	246.212ns	251.205ns	253.494ns	270.963ns	11.25%	1.998	9.532	1.61%	0.279ns	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	[243.572ns; 244.667ns] or [-0.224%; +0.224%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

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	728.744µs	729.817µs ± 0.503µs	729.774µs ± 0.356µs	730.131µs	730.701µs	731.340µs	731.387µs	0.22%	0.647	0.480	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	[729.747µs; 729.887µs] or [-0.010%; +0.010%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

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	185.831µs	186.248µs ± 0.237µs	186.217µs ± 0.166µs	186.395µs	186.679µs	186.873µs	187.031µs	0.44%	0.716	0.227	0.13%	0.017µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5346708.660op/s	`5369199`.692op/s ± 6814.633op/s	5370090.529op/s ± 4775.639op/s	5374619.188op/s	5378302.612op/s	5380264.759op/s	5381232.038op/s	0.21%	-0.709	0.212	0.13%	481.867op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.767µs	17.865µs ± 0.064µs	17.857µs ± 0.022µs	17.880µs	17.967µs	18.040µs	18.436µs	3.25%	4.435	32.878	0.36%	0.005µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	54241453.780op/s	55975749.351op/s ± 196893.757op/s	56001739.348op/s ± 69094.608op/s	56069440.354op/s	56172279.722op/s	56251683.561op/s	56284122.249op/s	0.50%	-4.276	30.964	0.35%	13922.491op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.531µs	10.594µs ± 0.041µs	10.589µs ± 0.022µs	10.610µs	10.666µs	10.735µs	10.775µs	1.76%	1.559	3.682	0.38%	0.003µs	1	200
normalization/normalize_name/normalize_name/good	throughput	92803216.800op/s	94390210.663op/s ± 359677.643op/s	94438985.588op/s ± 193114.271op/s	94635178.735op/s	94875138.476op/s	94927907.058op/s	94954302.336op/s	0.55%	-1.522	3.532	0.38%	25433.050op/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	[186.215µs; 186.281µs] 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	[5368255.250op/s; 5370144.135op/s] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.856µs; 17.874µs] or [-0.050%; +0.050%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55948461.770op/s; 56003036.932op/s] or [-0.049%; +0.049%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.589µs; 10.600µs] or [-0.053%; +0.053%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[94340362.800op/s; 94440058.525op/s] or [-0.053%; +0.053%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

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	4.979µs	5.082µs ± 0.051µs	5.104µs ± 0.040µs	5.125µs	5.145µs	5.150µs	5.168µs	1.27%	-0.368	-1.410	1.00%	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	[5.075µs; 5.089µs] or [-0.139%; +0.139%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

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	3.593ms	3.628ms ± 0.018ms	3.624ms ± 0.012ms	3.642ms	3.660ms	3.667ms	3.681ms	1.58%	0.521	-0.399	0.49%	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	[3.626ms; 3.631ms] or [-0.068%; +0.068%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

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	14.704µs	15.141µs ± 0.216µs	15.103µs ± 0.118µs	15.237µs	15.488µs	15.821µs	16.433µs	8.80%	1.784	6.879	1.42%	0.015µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[15.111µs; 15.171µs] or [-0.198%; +0.198%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
sdk_test_data/rules-based	execution_time	145.042µs	146.880µs ± 1.661µs	146.676µs ± 0.540µs	147.215µs	148.477µs	154.132µs	162.209µs	10.59%	5.586	42.621	1.13%	0.117µs	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	[146.650µs; 147.110µs] or [-0.157%; +0.157%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

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	4.211ms	4.219ms ± 0.002ms	4.218ms ± 0.002ms	4.220ms	4.223ms	4.223ms	4.232ms	0.32%	0.721	3.966	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	[4.218ms; 4.219ms] or [-0.008%; +0.008%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

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	5.306µs	5.374µs ± 0.024µs	5.370µs ± 0.013µs	5.384µs	5.412µs	5.452µs	5.518µs	2.74%	1.762	7.421	0.44%	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	[5.371µs; 5.377µs] or [-0.062%; +0.062%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

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	2.367µs	2.405µs ± 0.011µs	2.405µs ± 0.005µs	2.412µs	2.421µs	2.426µs	2.445µs	1.67%	-0.613	1.694	0.47%	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	[2.403µs; 2.407µs] or [-0.066%; +0.066%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

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	15.084ms	15.120ms ± 0.022ms	15.116ms ± 0.014ms	15.132ms	15.161ms	15.181ms	15.225ms	0.72%	1.107	2.248	0.15%	0.002ms	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	[15.117ms; 15.123ms] or [-0.020%; +0.020%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

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	4.159ms	4.166ms ± 0.008ms	4.165ms ± 0.002ms	4.167ms	4.171ms	4.189ms	4.271ms	2.54%	10.492	128.141	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	[4.165ms; 4.167ms] or [-0.027%; +0.027%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

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	14.227ms	14.289ms ± 0.062ms	14.282ms ± 0.013ms	14.294ms	14.325ms	14.687ms	14.775ms	3.46%	5.893	39.269	0.43%	0.004ms	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	[14.280ms; 14.298ms] or [-0.060%; +0.060%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

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	160.722µs	162.101µs ± 0.465µs	162.060µs ± 0.155µs	162.231µs	162.604µs	163.107µs	165.762µs	2.28%	4.035	30.051	0.29%	0.033µs	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	[162.037µs; 162.166µs] or [-0.040%; +0.040%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

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	290.281µs	290.984µs ± 0.628µs	290.898µs ± 0.203µs	291.121µs	291.520µs	292.351µs	298.461µs	2.60%	8.640	98.713	0.22%	0.044µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[290.896µs; 291.071µs] or [-0.030%; +0.030%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

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	3.916µs ± 0.004µs	3.916µs ± 0.003µs	3.919µs	3.923µs	3.926µs	3.930µs	0.37%	-0.011	2.665	0.11%	0.000µs	1	200
credit_card/is_card_number/	throughput	254430796.766op/s	255340304.120op/s ± 280267.743op/s	255376582.010op/s ± 181020.382op/s	255543705.005op/s	255670380.377op/s	255778949.431op/s	256759232.022op/s	0.54%	0.026	2.718	0.11%	19817.922op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	79.010µs	79.597µs ± 0.333µs	79.555µs ± 0.214µs	79.780µs	80.229µs	80.442µs	81.031µs	1.86%	0.871	1.305	0.42%	0.024µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12340970.435op/s	12563514.876op/s ± 52342.609op/s	12569948.399op/s ± 33863.160op/s	12602214.534op/s	12637053.994op/s	12651637.463op/s	12656670.241op/s	0.69%	-0.840	1.200	0.42%	3701.181op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	72.402µs	73.000µs ± 0.357µs	72.942µs ± 0.193µs	73.159µs	73.599µs	74.086µs	74.958µs	2.76%	1.620	5.259	0.49%	0.025µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13340887.327op/s	13698879.542op/s ± 66445.775op/s	13709612.928op/s ± 36315.203op/s	13743759.788op/s	13781990.232op/s	13802574.403op/s	13811820.499op/s	0.75%	-1.554	4.865	0.48%	4698.426op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.897µs	3.916µs ± 0.004µs	3.916µs ± 0.002µs	3.918µs	3.922µs	3.924µs	3.927µs	0.29%	-0.271	3.219	0.09%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254631344.361op/s	255359136.461op/s ± 238477.274op/s	255380105.895op/s ± 162077.160op/s	255540687.927op/s	255658011.346op/s	255727299.745op/s	256638047.605op/s	0.49%	0.285	3.282	0.09%	16862.890op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	69.222µs	69.651µs ± 0.251µs	69.591µs ± 0.159µs	69.794µs	70.132µs	70.302µs	70.494µs	1.30%	0.852	0.310	0.36%	0.018µs	1	200
credit_card/is_card_number/378282246310005	throughput	14185575.102op/s	14357400.744op/s ± 51655.076op/s	14369745.948op/s ± 32902.917op/s	14397152.244op/s	14419990.145op/s	14440766.432op/s	14446236.625op/s	0.53%	-0.835	0.264	0.36%	3652.565op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.185µs	52.281µs ± 0.057µs	52.275µs ± 0.040µs	52.315µs	52.379µs	52.424µs	52.524µs	0.48%	0.944	1.475	0.11%	0.004µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19038938.198op/s	19127532.624op/s ± 20980.484op/s	19129524.917op/s ± 14499.382op/s	19143929.346op/s	19155570.379op/s	19160488.659op/s	19162713.193op/s	0.17%	-0.935	1.444	0.11%	1483.544op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	5.710µs	5.852µs ± 0.062µs	5.844µs ± 0.041µs	5.898µs	5.968µs	5.993µs	6.008µs	2.80%	0.268	-0.461	1.06%	0.004µs	1	200
credit_card/is_card_number/x371413321323331	throughput	166441889.004op/s	170892614.551op/s ± 1810466.095op/s	171102498.958op/s ± 1207326.248op/s	172152891.391op/s	173383653.447op/s	174371333.626op/s	175139868.645op/s	2.36%	-0.222	-0.480	1.06%	128019.285op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.898µs	3.917µs ± 0.004µs	3.917µs ± 0.003µs	3.919µs	3.923µs	3.927µs	3.930µs	0.34%	0.000	2.703	0.10%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254447123.249op/s	255308580.920op/s ± 251628.109op/s	255322589.112op/s ± 167169.720op/s	255489620.745op/s	255648709.576op/s	255699488.076op/s	256552867.312op/s	0.48%	0.014	2.740	0.10%	17792.794op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	63.972µs	64.484µs ± 0.194µs	64.468µs ± 0.128µs	64.606µs	64.791µs	65.005µs	65.126µs	1.02%	0.455	0.506	0.30%	0.014µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15354849.076op/s	15507870.966op/s ± 46562.934op/s	15511452.881op/s ± 30953.823op/s	15540469.717op/s	15575769.597op/s	15598071.770op/s	15631742.765op/s	0.78%	-0.435	0.475	0.30%	3292.497op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	57.805µs	58.091µs ± 0.172µs	58.061µs ± 0.122µs	58.209µs	58.414µs	58.556µs	58.624µs	0.97%	0.756	0.032	0.30%	0.012µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	17057737.483op/s	17214606.750op/s ± 51002.371op/s	17223170.170op/s ± 36133.544op/s	17255493.343op/s	17278096.948op/s	17290774.438op/s	17299453.337op/s	0.44%	-0.743	0.002	0.30%	3606.412op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.905µs	3.916µs ± 0.004µs	3.916µs ± 0.003µs	3.919µs	3.923µs	3.929µs	3.932µs	0.42%	0.898	1.384	0.10%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254316206.056op/s	255346690.671op/s ± 253811.315op/s	255387856.320op/s ± 170679.419op/s	255541480.546op/s	255655877.085op/s	255694658.981op/s	256062484.861op/s	0.26%	-0.890	1.362	0.10%	17947.170op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	54.519µs	54.911µs ± 0.234µs	54.871µs ± 0.171µs	55.054µs	55.294µs	55.710µs	55.822µs	1.73%	1.034	1.405	0.42%	0.017µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17914236.620op/s	18211502.156op/s ± 77122.344op/s	18224711.899op/s ± 56932.838op/s	18277112.487op/s	18302830.998op/s	18316361.566op/s	18342161.292op/s	0.64%	-1.005	1.293	0.42%	5453.373op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	52.188µs	52.271µs ± 0.051µs	52.268µs ± 0.039µs	52.307µs	52.353µs	52.396µs	52.477µs	0.40%	0.681	0.591	0.10%	0.004µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19055874.703op/s	19130915.156op/s ± 18667.965op/s	19132104.943op/s ± 14107.682op/s	19146230.683op/s	19155795.516op/s	19161113.650op/s	19161640.312op/s	0.15%	-0.675	0.571	0.10%	1320.024op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	5.710µs	5.847µs ± 0.066µs	5.838µs ± 0.046µs	5.898µs	5.970µs	6.003µs	6.012µs	2.99%	0.442	-0.477	1.12%	0.005µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	166322082.177op/s	171044276.009op/s ± 1911256.119op/s	171293863.001op/s ± 1336996.443op/s	172445797.179op/s	173820501.206op/s	174328187.664op/s	175141728.146op/s	2.25%	-0.398	-0.523	1.11%	135146.216op/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	[3.916µs; 3.917µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/	throughput	[255301461.707op/s; 255379146.534op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[79.551µs; 79.643µs] or [-0.058%; +0.058%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12556260.694op/s; 12570769.058op/s] or [-0.058%; +0.058%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[72.951µs; 73.050µs] or [-0.068%; +0.068%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13689670.797op/s; 13708088.288op/s] or [-0.067%; +0.067%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.916µs; 3.917µs] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255326085.805op/s; 255392187.118op/s] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[69.617µs; 69.686µs] or [-0.050%; +0.050%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14350241.847op/s; 14364559.641op/s] or [-0.050%; +0.050%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.273µs; 52.289µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19124624.931op/s; 19130440.318op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[5.844µs; 5.861µs] or [-0.147%; +0.147%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[170641701.363op/s; 171143527.740op/s] or [-0.147%; +0.147%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.916µs; 3.917µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255273707.684op/s; 255343454.156op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[64.457µs; 64.511µs] or [-0.042%; +0.042%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15501417.792op/s; 15514324.141op/s] or [-0.042%; +0.042%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[58.067µs; 58.115µs] or [-0.041%; +0.041%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17207538.311op/s; 17221675.188op/s] or [-0.041%; +0.041%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.916µs; 3.917µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255311514.863op/s; 255381866.478op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[54.879µs; 54.944µs] or [-0.059%; +0.059%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18200813.741op/s; 18222190.571op/s] or [-0.059%; +0.059%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.264µs; 52.279µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19128327.956op/s; 19133502.356op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[5.838µs; 5.856µs] or [-0.156%; +0.156%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[170779394.293op/s; 171309157.726op/s] or [-0.155%; +0.155%]	None	None	None

Group 20

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

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	48.911ms	49.379ms ± 1.278ms	49.170ms ± 0.091ms	49.334ms	49.606ms	54.781ms	62.643ms	27.40%	8.699	79.103	2.58%	0.090ms	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	[49.202ms; 49.556ms] or [-0.359%; +0.359%]	None	None	None

Group 21

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`037a07b`	1774888269	duncan-harvey/libdd-trace-stats-span-derived-primary-tags

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_trace/test_trace	execution_time	244.383ns	255.425ns ± 14.085ns	248.837ns ± 3.088ns	255.088ns	287.301ns	297.867ns	300.091ns	20.60%	1.713	1.669	5.50%	0.996ns	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_trace/test_trace	execution_time	[253.473ns; 257.377ns] or [-0.764%; +0.764%]	None	None	None

Baseline

Omitted due to size.

dd-octo-sts · 2026-03-30T15:11:14Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	101.90 MB	101.95 MB	+.04% (+45.03 KB) 🔍
/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	118.84 MB	118.87 MB	+.02% (+28.71 KB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.36 MB	11.36 MB	+0% (+1.01 KB) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.39 MB	27.41 MB	+.04% (+11.50 KB) 🔍
/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	187.18 MB	187.27 MB	+.05% (+96.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	924.91 MB	925.11 MB	+.02% (+206.84 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.06 MB	9.06 MB	+.02% (+2.00 KB) 🔍
/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	26.97 MB	26.98 MB	+.05% (+16.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	61.28 MB	61.29 MB	+.02% (+13.89 KB) 🔍

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	23.20 MB	23.21 MB	+.04% (+10.00 KB) 🔍
/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	191.48 MB	191.56 MB	+.04% (+88.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	908.20 MB	908.40 MB	+.02% (+202.91 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	6.90 MB	6.90 MB	+.02% (+2.00 KB) 🔍
/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	29.11 MB	29.12 MB	+.05% (+16.00 KB) 🔍
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	57.68 MB	57.69 MB	+.02% (+14.18 KB) 🔍

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	88.72 MB	88.76 MB	+.04% (+37.21 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	10.32 MB	10.32 MB	0% (0 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	111.54 MB	111.56 MB	+.01% (+22.57 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	12.07 MB	12.08 MB	+.03% (+4.81 KB) 🔍

paullegranddc · 2026-03-30T15:42:34Z

libdd-trace-stats/src/span_concentrator/aggregation.rs

+        let span_derived_primary_tags: Vec<(&'a str, &'a str)> = span_derived_primary_tag_keys
+            .iter()
+            .filter_map(|key| Some(((key.as_str()), (span.get_meta(key.as_str())?))))
+            .collect();


The agent filters out tags for which the value is an empty string, and I think we want the same behaviour here
https://github.com/DataDog/datadog-agent/blob/ab3b6ca54253a07c4a85d1b904deca89657d5e53/pkg/trace/stats/span_concentrator.go#L112-L114

Fixed here: 037a07b

paullegranddc · 2026-03-30T15:50:20Z

libdd-trace-stats/src/span_concentrator/aggregation.rs


+        let span_derived_primary_tags: Vec<(&'a str, &'a str)> = span_derived_primary_tag_keys
+            .iter()
+            .filter_map(|key| Some(((key.as_str()), (span.get_meta(key.as_str())?))))


there is an uneeded set of parenthesis around span.get_meta(key.as_str())?

Fixed here: 670ecb6

paullegranddc

We talked about this in our sync with the data-pipeline team.
The spec for this feature might change, so we want to hold on before merging this I think.

cc @ichinaski

duncanpharvey changed the title ~~implement span derived primary tags~~ feat: implement span derived primary tags Mar 27, 2026

github-actions bot added the data-pipeline label Mar 27, 2026

duncanpharvey changed the title ~~feat: implement span derived primary tags~~ feat(stats): implement span derived primary tags Mar 27, 2026

duncanpharvey changed the title ~~feat(stats): implement span derived primary tags~~ feat!(stats): implement span derived primary tags Mar 27, 2026

duncanpharvey changed the title ~~feat!(stats): implement span derived primary tags~~ feat(stats)!: implement span derived primary tags Mar 27, 2026

duncanpharvey force-pushed the duncan-harvey/libdd-trace-stats-span-derived-primary-tags branch 2 times, most recently from 12be3d3 to 3289c8a Compare March 30, 2026 14:31

implement span derived primary tags

62181a8

duncanpharvey force-pushed the duncan-harvey/libdd-trace-stats-span-derived-primary-tags branch from 3289c8a to 62181a8 Compare March 30, 2026 14:33

duncanpharvey marked this pull request as ready for review March 30, 2026 15:07

duncanpharvey requested review from a team as code owners March 30, 2026 15:07

duncanpharvey requested review from a team, Lewis-E and shreyamalpani and removed request for a team March 30, 2026 15:07

duncanpharvey changed the title ~~feat(stats)!: implement span derived primary tags~~ feat(stats)!: implement span derived primary tags in libdd-trace-stats Mar 30, 2026

lym953 approved these changes Mar 30, 2026

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paullegranddc reviewed Mar 30, 2026

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VianneyRuhlmann approved these changes Mar 30, 2026

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remove superfluous parentheses

670ecb6

filter out span_derived_primary_tags with empty string values

037a07b

duncanpharvey requested a review from paullegranddc March 30, 2026 16:56

paullegranddc approved these changes Mar 31, 2026

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paullegranddc requested changes Mar 31, 2026

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duncanpharvey mentioned this pull request Mar 31, 2026

feat: add trace stats computation DataDog/serverless-components#51

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📚 Documentation Check Results

📦 libdd-data-pipeline - 865 warning(s)

📦 libdd-trace-stats - 561 warning(s)

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🔒 Cargo Deny Results

📦 libdd-data-pipeline - 1 error(s)

📦 libdd-trace-stats - ✅ No issues

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Clippy Allow Annotation Report

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Codecov Report

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Benchmarks

Comparison

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More details about the CI and significant changes

scenario:credit_card/is_card_number/ 378282246310005

scenario:credit_card/is_card_number/378282246310005

scenario:credit_card/is_card_number/37828224631000521389798

scenario:credit_card/is_card_number_no_luhn/ 3782-8224-6310-005

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

scenario:credit_card/is_card_number_no_luhn/378282246310005

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

scenario:normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...

scenario:normalization/normalize_name/normalize_name/bad-name

scenario:normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...

scenario:normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters

scenario:single_flag_killswitch/rules-based

Candidate

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Baseline

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Artifact Size Benchmark Report

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📦 `libdd-data-pipeline` - 865 warning(s)

📦 `libdd-trace-stats` - 561 warning(s)

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edited

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📦 `libdd-data-pipeline` - 1 error(s)

📦 `libdd-trace-stats` - ✅ No issues

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