feat(obfuscation)!: feature parity on span obfuscation [APMSP-2671] by Eldolfin · Pull Request #1788 · DataDog/libdatadog

Eldolfin · 2026-03-25T10:34:28Z

What does this PR do?

Integrate the work that has been done on specific string obfuscation (sql, redis, json, etc...) in obfuscate_span which is the high level function that can be used externally.

Motivation

Reach 100% parity between obfuscation libs.

Additional Notes

Anything else we should know when reviewing?

How to test the change?

Add tests from parity checker

…alize

github-actions · 2026-03-25T10:37:11Z

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

Base Branch: origin/main
PR Branch: origin/oscarld/span-obfuscation-parity

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-trace-obfuscation/src/replacer.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 · 2026-03-25T10:49:09Z

Codecov Report

❌ Patch coverage is 89.41799% with 40 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.17%. Comparing base (a29b90b) to head (511e20d).

Additional details and impacted files

@@           Coverage Diff            @@
##             main    #1788    +/-   ##
========================================
  Coverage   71.16%   71.17%            
========================================
  Files         414      414            
  Lines       65739    65914   +175     
========================================
+ Hits        46786    46916   +130     
- Misses      18953    18998    +45

Components	Coverage Δ
libdd-crashtracker	`65.31% <ø> (+0.04%)`	⬆️
libdd-crashtracker-ffi	`35.24% <ø> (ø)`
libdd-alloc	`98.77% <ø> (ø)`
libdd-data-pipeline	`87.27% <ø> (-0.29%)`	⬇️
libdd-data-pipeline-ffi	`74.17% <ø> (-1.60%)`	⬇️
libdd-common	`79.79% <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> (ø)`
libdd-profiling	`81.62% <ø> (ø)`
libdd-profiling-ffi	`64.94% <ø> (ø)`
datadog-sidecar	`30.69% <ø> (-0.10%)`	⬇️
datdog-sidecar-ffi	`8.92% <ø> (-0.45%)`	⬇️
spawn-worker	`54.69% <ø> (ø)`
libdd-tinybytes	`93.16% <ø> (ø)`
libdd-trace-normalization	`81.71% <ø> (ø)`
libdd-trace-obfuscation	`87.24% <89.41%> (-0.13%)`	⬇️
libdd-trace-protobuf	`68.25% <ø> (ø)`
libdd-trace-utils	`88.64% <ø> (ø)`
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.
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datadog-datadog-prod-us1-2 · 2026-03-25T10:49:21Z

⚠️ Tests

✨ Fix all issues with BitsAI or with Cursor

⚠️ Warnings

❄️ 1 New flaky test detected

test_obfuscate_span from libdd-trace-obfuscation::test_span_obfuscation (Fix with Cursor)
Test has failed

ℹ️ Info

No other issues found (see more)

🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 89.42%
• Overall Coverage: 71.18% (+0.01%)

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

🔗 Commit SHA: 511e20d | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!}

pr-commenter · 2026-03-25T10:51:09Z

Benchmarks

Comparison

Benchmark execution time: 2026-03-27 15:36:36

Comparing candidate commit 511e20d in PR branch oscarld/span-obfuscation-parity with baseline commit a29b90b in branch main.

Found 1 performance improvements and 0 performance regressions! Performance is the same for 61 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:two way interface

🟩 execution_time [-836.463ns; -723.736ns] or [-5.716%; -4.946%]

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	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	185.663µs	186.103µs ± 0.342µs	186.047µs ± 0.156µs	186.209µs	186.524µs	187.831µs	188.344µs	1.23%	3.403	16.722	0.18%	0.024µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5309438.735op/s	5373383.739op/s ± 9806.138op/s	5374993.113op/s ± 4507.639op/s	5379394.217op/s	5382688.170op/s	5384319.867op/s	5386098.426op/s	0.21%	-3.364	16.410	0.18%	693.399op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.824µs	17.879µs ± 0.028µs	17.876µs ± 0.010µs	17.885µs	17.921µs	17.942µs	18.138µs	1.46%	4.011	32.943	0.16%	0.002µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	55134377.304op/s	55932976.039op/s ± 88495.273op/s	55940900.085op/s ± 31026.800op/s	55975153.621op/s	56031194.260op/s	56094448.798op/s	56102912.543op/s	0.29%	-3.922	31.891	0.16%	6257.561op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.515µs	10.571µs ± 0.046µs	10.545µs ± 0.014µs	10.596µs	10.666µs	10.707µs	10.711µs	1.58%	1.175	0.357	0.44%	0.003µs	1	200
normalization/normalize_name/normalize_name/good	throughput	93358504.497op/s	94602963.172op/s ± 413023.014op/s	94831330.544op/s ± 125862.614op/s	94902950.867op/s	94968444.922op/s	95031023.678op/s	95104237.148op/s	0.29%	-1.162	0.315	0.44%	29205.137op/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	[186.056µs; 186.150µs] or [-0.025%; +0.025%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5372024.702op/s; 5374742.775op/s] or [-0.025%; +0.025%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.875µs; 17.883µs] or [-0.022%; +0.022%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55920711.445op/s; 55945240.633op/s] or [-0.022%; +0.022%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.564µs; 10.577µs] or [-0.061%; +0.061%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[94545722.155op/s; 94660204.190op/s] or [-0.061%; +0.061%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	14.219ms	14.269ms ± 0.031ms	14.264ms ± 0.012ms	14.275ms	14.326ms	14.391ms	14.454ms	1.33%	2.592	9.556	0.22%	0.002ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching serializing traces from their internal representation to msgpack	execution_time	[14.264ms; 14.273ms] or [-0.030%; +0.030%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	3.891µs	3.912µs ± 0.003µs	3.912µs ± 0.001µs	3.914µs	3.916µs	3.919µs	3.921µs	0.22%	-2.222	21.659	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	255052835.153op/s	255601138.631op/s ± 174626.721op/s	255602722.171op/s ± 91544.973op/s	255698437.506op/s	255796138.093op/s	255862666.056op/s	257035957.078op/s	0.56%	2.260	22.002	0.07%	12347.974op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	78.952µs	79.671µs ± 0.315µs	79.628µs ± 0.198µs	79.833µs	80.251µs	80.715µs	80.880µs	1.57%	1.069	1.590	0.39%	0.022µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12363974.205op/s	12551878.473op/s ± 49439.495op/s	12558370.258op/s ± 31252.747op/s	12589311.675op/s	12616146.021op/s	12624455.960op/s	12665895.588op/s	0.86%	-1.040	1.502	0.39%	3495.900op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	72.359µs	72.897µs ± 0.308µs	72.845µs ± 0.196µs	73.069µs	73.446µs	73.820µs	74.079µs	1.69%	0.999	1.062	0.42%	0.022µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13499021.761op/s	13718314.167op/s ± 57742.301op/s	13727782.949op/s ± 36970.302op/s	13761988.701op/s	13788770.632op/s	13809086.343op/s	13819975.392op/s	0.67%	-0.973	0.982	0.42%	4082.997op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.893µs	3.912µs ± 0.003µs	3.912µs ± 0.001µs	3.914µs	3.917µs	3.920µs	3.925µs	0.32%	-0.652	11.455	0.07%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254800528.654op/s	255598718.014op/s ± 187539.671op/s	255609999.747op/s ± 92600.768op/s	255701681.241op/s	255808130.187op/s	255945611.852op/s	256872958.993op/s	0.49%	0.681	11.605	0.07%	13261.057op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	69.147µs	69.483µs ± 0.234µs	69.416µs ± 0.115µs	69.595µs	69.946µs	70.196µs	70.478µs	1.53%	1.344	1.800	0.34%	0.017µs	1	200
credit_card/is_card_number/378282246310005	throughput	14188848.649op/s	14392089.590op/s ± 48335.416op/s	14405907.146op/s ± 23821.252op/s	14424156.857op/s	14446591.269op/s	14456303.199op/s	14461870.776op/s	0.39%	-1.324	1.720	0.34%	3417.830op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.265µs	52.330µs ± 0.029µs	52.327µs ± 0.020µs	52.348µs	52.380µs	52.406µs	52.448µs	0.23%	0.626	0.956	0.06%	0.002µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19066556.981op/s	19109645.535op/s ± 10570.264op/s	19110616.779op/s ± 7173.855op/s	19117308.084op/s	19125449.477op/s	19130835.201op/s	19133083.952op/s	0.12%	-0.621	0.945	0.06%	747.431op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	5.705µs	5.831µs ± 0.060µs	5.830µs ± 0.042µs	5.874µs	5.932µs	5.969µs	6.013µs	3.14%	0.257	-0.431	1.02%	0.004µs	1	200
credit_card/is_card_number/x371413321323331	throughput	166301409.064op/s	171525969.794op/s ± 1754932.538op/s	171524137.869op/s ± 1237925.389op/s	172746029.543op/s	174341924.791op/s	175010837.134op/s	175285591.627op/s	2.19%	-0.212	-0.477	1.02%	124092.470op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.893µs	3.912µs ± 0.003µs	3.912µs ± 0.001µs	3.913µs	3.916µs	3.918µs	3.929µs	0.44%	-1.073	17.546	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254523974.446op/s	255625135.050op/s ± 190013.567op/s	255633053.356op/s ± 81992.032op/s	255715212.490op/s	255801243.964op/s	255919891.317op/s	256854012.661op/s	0.48%	1.114	17.634	0.07%	13435.988op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	63.991µs	64.466µs ± 0.182µs	64.458µs ± 0.122µs	64.578µs	64.795µs	64.884µs	64.980µs	0.81%	0.218	0.034	0.28%	0.013µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15389268.589op/s	15512247.627op/s ± 43877.331op/s	15514089.951op/s ± 29398.592op/s	15543359.999op/s	15573853.849op/s	15613512.558op/s	15627285.240op/s	0.73%	-0.202	0.029	0.28%	3102.596op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	57.945µs	58.137µs ± 0.146µs	58.087µs ± 0.066µs	58.233µs	58.429µs	58.566µs	58.593µs	0.87%	1.242	0.815	0.25%	0.010µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	17067001.298op/s	17200760.696op/s ± 42930.715op/s	17215688.747op/s ± 19623.679op/s	17231693.567op/s	17244935.800op/s	17248433.858op/s	17257861.480op/s	0.24%	-1.232	0.784	0.25%	3035.660op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.892µs	3.912µs ± 0.003µs	3.911µs ± 0.001µs	3.913µs	3.915µs	3.918µs	3.929µs	0.45%	0.634	21.037	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254518702.347op/s	255653524.299op/s ± 184360.258op/s	255662021.407op/s ± 79627.050op/s	255742434.064op/s	255843951.882op/s	255906804.212op/s	256913608.504op/s	0.49%	-0.585	21.078	0.07%	13036.239op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	54.467µs	54.857µs ± 0.216µs	54.787µs ± 0.114µs	54.974µs	55.242µs	55.615µs	55.901µs	2.03%	1.337	2.808	0.39%	0.015µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17888827.098op/s	18229356.551op/s ± 71292.120op/s	18252635.325op/s ± 37886.535op/s	18280276.964op/s	18305133.715op/s	18346436.574op/s	18359790.494op/s	0.59%	-1.302	2.632	0.39%	5041.114op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	52.259µs	52.339µs ± 0.028µs	52.339µs ± 0.019µs	52.357µs	52.386µs	52.410µs	52.412µs	0.14%	0.025	0.022	0.05%	0.002µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19079692.996op/s	19106247.559op/s ± 10241.112op/s	19106095.452op/s ± 6792.706op/s	19113083.730op/s	19122807.731op/s	19129843.061op/s	19135604.863op/s	0.15%	-0.022	0.022	0.05%	724.156op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	5.703µs	5.842µs ± 0.058µs	5.837µs ± 0.043µs	5.883µs	5.934µs	5.966µs	5.993µs	2.67%	0.013	-0.650	0.99%	0.004µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	166870354.294op/s	171196026.857op/s ± 1704917.019op/s	171329335.299op/s ± 1256344.991op/s	172457809.113op/s	173910781.725op/s	174357607.752op/s	175335438.995op/s	2.34%	0.027	-0.656	0.99%	120555.839op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
credit_card/is_card_number/	execution_time	[3.912µs; 3.913µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/	throughput	[255576937.047op/s; 255625340.215op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[79.627µs; 79.714µs] or [-0.055%; +0.055%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12545026.635op/s; 12558730.312op/s] or [-0.055%; +0.055%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[72.854µs; 72.939µs] or [-0.059%; +0.059%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13710311.639op/s; 13726316.695op/s] or [-0.058%; +0.058%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255572726.820op/s; 255624709.209op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[69.451µs; 69.516µs] or [-0.047%; +0.047%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14385390.766op/s; 14398788.414op/s] or [-0.047%; +0.047%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.326µs; 52.334µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19108180.598op/s; 19111110.472op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[5.822µs; 5.839µs] or [-0.142%; +0.142%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[171282753.023op/s; 171769186.566op/s] or [-0.142%; +0.142%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.912µs; 3.912µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255598800.997op/s; 255651469.103op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[64.440µs; 64.491µs] or [-0.039%; +0.039%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15506166.651op/s; 15518328.603op/s] or [-0.039%; +0.039%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[58.117µs; 58.157µs] or [-0.035%; +0.035%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17194810.912op/s; 17206710.481op/s] or [-0.035%; +0.035%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.911µs; 3.912µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255627973.740op/s; 255679074.857op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[54.828µs; 54.887µs] or [-0.054%; +0.054%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18219476.149op/s; 18239236.953op/s] or [-0.054%; +0.054%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.335µs; 52.343µs] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19104828.239op/s; 19107666.879op/s] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[5.834µs; 5.850µs] or [-0.138%; +0.138%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[170959741.755op/s; 171432311.959op/s] or [-0.138%; +0.138%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	33.454µs	33.940µs ± 0.836µs	33.549µs ± 0.059µs	33.675µs	35.681µs	35.754µs	37.515µs	11.82%	1.802	1.827	2.46%	0.059µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.824µs; 34.056µs] or [-0.341%; +0.341%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	4.192ms	4.196ms ± 0.003ms	4.196ms ± 0.001ms	4.197ms	4.200ms	4.208ms	4.215ms	0.46%	2.745	12.191	0.07%	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	[4.196ms; 4.197ms] 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	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	14.778ms	14.812ms ± 0.016ms	14.810ms ± 0.010ms	14.821ms	14.839ms	14.857ms	14.869ms	0.40%	0.761	0.731	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	[14.810ms; 14.814ms] or [-0.015%; +0.015%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	495.336µs	496.288µs ± 0.766µs	496.097µs ± 0.286µs	496.414µs	497.849µs	499.183µs	501.535µs	1.10%	2.968	12.738	0.15%	0.054µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1993879.676op/s	2014963.580op/s ± 3097.914op/s	2015733.472op/s ± 1161.045op/s	2016703.854op/s	2017685.122op/s	2018289.158op/s	2018829.850op/s	0.15%	-2.941	12.490	0.15%	219.056op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	370.547µs	371.295µs ± 0.335µs	371.312µs ± 0.201µs	371.488µs	371.828µs	372.162µs	372.726µs	0.38%	0.503	1.159	0.09%	0.024µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2682937.242op/s	2693276.992op/s ± 2431.319op/s	2693150.405op/s ± 1454.868op/s	2695111.104op/s	2696937.215op/s	2698211.342op/s	2698715.517op/s	0.21%	-0.495	1.136	0.09%	171.920op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	167.805µs	168.193µs ± 0.228µs	168.139µs ± 0.107µs	168.250µs	168.690µs	168.861µs	168.967µs	0.49%	1.296	1.291	0.14%	0.016µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5918319.484op/s	5945575.743op/s ± 8041.616op/s	5947448.621op/s ± 3793.821op/s	5951113.334op/s	5954268.120op/s	5956876.211op/s	5959296.343op/s	0.20%	-1.289	1.274	0.13%	568.628op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.814µs	37.001µs ± 0.109µs	37.016µs ± 0.095µs	37.097µs	37.148µs	37.187µs	37.209µs	0.52%	-0.131	-1.312	0.29%	0.008µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26875438.939op/s	27026607.247op/s ± 79293.507op/s	27015511.467op/s ± 69583.876op/s	27102250.141op/s	27147017.592op/s	27155949.580op/s	27163835.338op/s	0.55%	0.137	-1.313	0.29%	5606.898op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	46.279µs	46.385µs ± 0.056µs	46.376µs ± 0.041µs	46.428µs	46.482µs	46.513µs	46.531µs	0.33%	0.376	-0.635	0.12%	0.004µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21490848.838op/s	21558617.789op/s ± 25895.719op/s	21562714.622op/s ± 18961.053op/s	21579449.028op/s	21594107.227op/s	21606722.923op/s	21608254.353op/s	0.21%	-0.372	-0.639	0.12%	1831.104op/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	[496.182µs; 496.394µs] or [-0.021%; +0.021%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2014534.239op/s; 2015392.921op/s] or [-0.021%; +0.021%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[371.249µs; 371.342µs] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2692940.035op/s; 2693613.950op/s] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[168.161µs; 168.224µs] or [-0.019%; +0.019%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5944461.253op/s; 5946690.234op/s] or [-0.019%; +0.019%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[36.986µs; 37.016µs] or [-0.041%; +0.041%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[27015617.929op/s; 27037596.564op/s] or [-0.041%; +0.041%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.378µs; 46.393µs] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21555028.892op/s; 21562206.687op/s] or [-0.017%; +0.017%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	3.382ms	3.407ms ± 0.019ms	3.402ms ± 0.008ms	3.413ms	3.448ms	3.471ms	3.482ms	2.35%	1.695	2.786	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	[3.404ms; 3.410ms] or [-0.077%; +0.077%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	13.615µs	13.854µs ± 0.139µs	13.827µs ± 0.106µs	13.961µs	14.099µs	14.187µs	14.373µs	3.95%	0.633	0.185	1.00%	0.010µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[13.834µs; 13.873µs] or [-0.139%; +0.139%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	160.980µs	161.721µs ± 0.254µs	161.696µs ± 0.133µs	161.846µs	162.184µs	162.582µs	162.658µs	0.59%	0.755	2.006	0.16%	0.018µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching string interning on wordpress profile	execution_time	[161.686µs; 161.756µs] or [-0.022%; +0.022%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	4.980µs	5.047µs ± 0.041µs	5.052µs ± 0.032µs	5.077µs	5.111µs	5.115µs	5.129µs	1.52%	0.019	-1.293	0.80%	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	[5.041µs; 5.052µs] or [-0.112%; +0.112%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	244.083ns	255.282ns ± 12.183ns	250.164ns ± 3.691ns	256.542ns	286.227ns	289.768ns	294.001ns	17.52%	1.634	1.567	4.76%	0.861ns	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	[253.594ns; 256.971ns] or [-0.661%; +0.661%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	925.605µs	929.242µs ± 1.437µs	929.212µs ± 0.812µs	929.998µs	931.915µs	932.705µs	934.110µs	0.53%	0.320	0.495	0.15%	0.102µs	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	[929.043µs; 929.441µs] or [-0.021%; +0.021%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	49.214ms	49.672ms ± 0.816ms	49.552ms ± 0.087ms	49.636ms	49.820ms	55.331ms	56.757ms	14.54%	7.168	53.442	1.64%	0.058ms	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	[49.559ms; 49.785ms] or [-0.228%; +0.228%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	2.388µs	2.436µs ± 0.016µs	2.436µs ± 0.007µs	2.442µs	2.467µs	2.475µs	2.484µs	1.98%	0.150	1.442	0.65%	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	[2.434µs; 2.438µs] or [-0.090%; +0.090%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	189.857ns	192.347ns ± 1.980ns	192.171ns ± 1.423ns	193.268ns	196.354ns	198.681ns	199.707ns	3.92%	1.020	1.118	1.03%	0.140ns	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	[192.072ns; 192.621ns] or [-0.143%; +0.143%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	144.472µs	146.569µs ± 1.871µs	146.267µs ± 0.661µs	146.987µs	148.768µs	151.915µs	165.034µs	12.83%	5.824	49.510	1.27%	0.132µs	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	[146.310µs; 146.829µs] or [-0.177%; +0.177%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	288.496µs	289.084µs ± 0.704µs	288.994µs ± 0.156µs	289.151µs	289.499µs	291.007µs	297.838µs	3.06%	9.978	118.872	0.24%	0.050µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[288.987µs; 289.182µs] or [-0.034%; +0.034%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	726.904µs	728.000µs ± 0.473µs	727.947µs ± 0.309µs	728.299µs	728.804µs	729.284µs	729.487µs	0.21%	0.529	0.166	0.06%	0.033µs	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	[727.935µs; 728.066µs] or [-0.009%; +0.009%]	None	None	None

Group 20

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	4.180ms	4.185ms ± 0.008ms	4.183ms ± 0.001ms	4.185ms	4.188ms	4.211ms	4.281ms	2.32%	8.737	93.655	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	[4.184ms; 4.186ms] or [-0.027%; +0.027%]	None	None	None

Group 21

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`511e20d`	1774624728	oscarld/span-obfuscation-parity

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	5.300µs	5.365µs ± 0.029µs	5.360µs ± 0.013µs	5.377µs	5.425µs	5.448µs	5.517µs	2.94%	1.487	4.404	0.54%	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	[5.361µs; 5.369µs] or [-0.075%; +0.075%]	None	None	None

Baseline

Omitted due to size.

dd-octo-sts · 2026-03-25T11:10:17Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	101.90 MB	101.90 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.so	11.36 MB	11.36 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	118.84 MB	118.84 MB	0% (0 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.39 MB	27.39 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	187.21 MB	187.19 MB	--.01% (-24.00 KB) 💪
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	924.91 MB	924.91 MB	+0% (+516 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.06 MB	9.06 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	26.98 MB	26.98 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	61.28 MB	61.28 MB	0% (0 B) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	23.20 MB	23.20 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	191.48 MB	191.46 MB	-0% (-16.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	908.20 MB	908.20 MB	+0% (+516 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	29.11 MB	29.11 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	57.68 MB	57.68 MB	0% (0 B) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	88.72 MB	88.72 MB	0% (0 B) 👌
/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	111.54 MB	0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	12.07 MB	12.07 MB	0% (0 B) 👌

Eldolfin · 2026-03-25T12:41:00Z

@codex review

Copilot

Pull request overview

This PR expands the Rust span obfuscation layer to reach closer parity with other obfuscation libraries by applying protocol-specific obfuscation (SQL/Redis/JSON/etc.) at the obfuscate_span level, and adds optional fuzzing support for protobuf message types.

Changes:

Add fuzzing feature support in libdd-trace-protobuf by conditionally deriving bolero::TypeGenerator on key protobuf types.
Extend ObfuscationConfig and obfuscate_span to support additional span types and tag-based obfuscation (SQL/Cassandra, Valkey, JSON bodies, credit-card detection, span events).
Refactor SQL and JSON obfuscation APIs/config to carry more structured configuration (notably DBMS selection for SQL).

Reviewed changes

Copilot reviewed 9 out of 10 changed files in this pull request and generated 8 comments.

Show a summary per file

File	Description
libdd-trace-protobuf/src/pb.rs	Adds conditional `bolero::TypeGenerator` derives under `fuzzing` feature.
libdd-trace-protobuf/src/pb.idx.rs	Adds conditional `bolero::TypeGenerator` derives under `fuzzing` feature for idx types.
libdd-trace-protobuf/build.rs	Updates prost-build generation attributes to include fuzzing derives for selected types.
libdd-trace-protobuf/Cargo.toml	Adds optional `bolero` dependency and `fuzzing` feature.
libdd-trace-obfuscation/src/sql.rs	Refactors SQL obfuscation to accept an explicit `DbmsKind` parameter and passes DBMS through tokenizer.
libdd-trace-obfuscation/src/obfuscation_config.rs	Introduces structured sub-configs (redis/valkey/memcached/sql/json/credit-card) and defaults.
libdd-trace-obfuscation/src/obfuscate.rs	Adds span-type specific obfuscation paths (redis/valkey/sql/json) and span-event CC obfuscation.
libdd-trace-obfuscation/src/json.rs	Refactors JSON obfuscator to accept a config struct and transformer function pointer.
Cargo.lock	Updates bolero-related crates and records new dependency resolution.

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…ement tests for redis/valkey

anais-raison · 2026-03-27T12:22:41Z

+const TAG_CARD_NUMBER: &str = "card.number";
+
+/// `obfuscate_span` goes through `span` fields and applies obfuscation on it
+// TODO: return parsing errors in a vec


Are you planning to resolve this TODO in a futur PR ? If so you might wanna create a Jira ticket and add the ticket number here

The thing is that I'm not sure what to do with these errors. I should probably log them somewhere but I have not though of it yet and accumulating the errors might add a large overhead in some cases.

Co-authored-by: Scarlett <77939650+anais-raison@users.noreply.github.com> Co-authored-by: Oscar Le Dauphin <90446228+Eldolfin@users.noreply.github.com>

# Release proposal for libdd-sampling and its dependencies This PR contains version bumps based on public API changes and commits since last release. ## libdd-tinybytes **Next version:** `1.1.1` **Semver bump:** `patch` **Tag:** `libdd-tinybytes-v1.1.1` ### Commits - perf: pre-compute string messagepack encoding (#1948) ## libdd-trace-protobuf **Next version:** `3.0.2` **Semver bump:** `patch` **Tag:** `libdd-trace-protobuf-v3.0.2` ### Commits - feat(obfuscation)!: feature parity on span obfuscation [APMSP-2671] (#1788) ## libdd-trace-utils **Next version:** `4.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-utils-v4.0.0` ### ⚠️ major bump forced due to: - `libdd-common`: ^3.0.2 → ^4.1.0 ### Commits - feat(trace-utils)!: search all spans to populate tracer payload fields (#1954) - perf: pre-compute string messagepack encoding (#1948) - feat(capablities)!: sleep & spawn capabilities (#1873) - feat(libdd-trace-utils): check for empty value in header datadog-client-computed-stats (#1900) - chore(benchmarks): add allocation size tracking allocator (#1905) - fix(crypto): gate libdd-common TLS features in obfuscation and capabilities-impl (#1872) - fix(libdd-traceutils): Update cloud environment detection logic for Serverless [SVLS-8799] (#1857) - fix(spawn_worker): defer trampoline self-deletion to avoid Valgrind false positive (#1844) - feat(runtime)!: add shared runtime (#1602) - ci: compilation of libdd-data-pipeline to wasm32 (#1830) - feat(capabilities)!: trait architecture http (#1555) - feat(trace-export): map DD span resource to OTLP resource.name attribute (#1811) - feat(otel): add support for OTLP trace export (#1641) ## libdd-sampling **Next version:** `1.0.0` **Semver bump:** `major` **Tag:** `libdd-sampling-v1.0.0` **Warning:** this is an initial release. Please verify that the version and commits included are correct. [APMSP-2671]: https://datadoghq.atlassian.net/browse/APMSP-2671?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ [SVLS-8799]: https://datadoghq.atlassian.net/browse/SVLS-8799?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: iunanua <18325288+iunanua@users.noreply.github.com>

# Release proposal for libdd-data-pipeline and its dependencies This PR contains version bumps based on public API changes and commits since last release. ## libdd-dogstatsd-client **Next version:** `3.0.0` **Semver bump:** `major` **Tag:** `libdd-dogstatsd-client-v3.0.0` ### ⚠️ major bump forced due to: - `libdd-common`: ^3.0.2 → ^4.1.0 ### Commits - fix(crypto): gate libdd-common TLS features in remaining internal crates + add CI guard (#1943) ## libdd-trace-obfuscation **Next version:** `3.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-obfuscation-v3.0.0` ### ⚠️ major bump forced due to: - `libdd-common`: ^3.0.2 → ^4.1.0 - `libdd-trace-utils`: ^3.0.1 → ^4.0.0 ### Commits - feat!: integrate obfuscation to the stats exporter [APMSP-2764] (#1819) - feat!: added regex-lite feature (#1939) - chore: clippy (#1889) - fix(crypto): gate libdd-common TLS features in obfuscation and capabilities-impl (#1872) - feat(obfuscation)!: feature parity on span obfuscation [APMSP-2671] (#1788) - feat(obfuscation/sql): feature parity on sql obfuscation [APMSP-2667] (#1708) ## libdd-trace-stats **Next version:** `3.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-stats-v3.0.0` ### ⚠️ major bump forced due to: - `libdd-trace-utils`: ^3.0.1 → ^4.0.0 ### Commits - perf: pre-compute string messagepack encoding (#1948) - feat!: integrate obfuscation to the stats exporter [APMSP-2764] (#1819) - feat(capablities)!: sleep & spawn capabilities (#1873) - feat: use ip quantization when aggregating peer tags for trace stats (#1944) - fix(crypto): gate libdd-common TLS features in remaining internal crates + add CI guard (#1943) - feat(shared_runtime)!: allow worker to be stopped after fork (#1893) - feat(sidecar)!: Add stats computation via SHM (#1821) - feat(stats): propagate service source from span meta to client stats payload (#1803) - fix(stats): align with css spec (#1790) ## libdd-data-pipeline **Next version:** `4.0.0` **Semver bump:** `major` **Tag:** `libdd-data-pipeline-v4.0.0` ### ⚠️ major bump forced due to: - `libdd-common`: ^3.0.2 → ^4.1.0 - `libdd-telemetry`: ^4.0.0 → ^5.0.0 - `libdd-trace-utils`: ^3.0.1 → ^4.0.0 ### Commits - fix(libdd-telemetry): restore previous Cargo.toml version (#1993) - fix(data-pipeline): remove default-features from of trace-obfuscation (#1981) - fix(trace_exporter: shared_runtime): unwrap_or being eager is not good (#1983) - perf: pre-compute string messagepack encoding (#1948) - feat!: integrate obfuscation to the stats exporter [APMSP-2764] (#1819) - feat(capablities)!: sleep & spawn capabilities (#1873) - fix(telemetry): avoid trigger loop in telemetry worker (#1950) - feat(telemetry)!: include dependencies and integrations in app-extended-heartbeat (#1962) - perf(trace-serializer): pre-allocate serialization buffer (#1949) - feat!: added regex-lite feature (#1939) - fix(crypto): gate libdd-common TLS features in remaining internal crates + add CI guard (#1943) - feat(telemetry): add session id support to trace export (#1822) - fix(path): missing bench path in data-pipeline (#1907) - feat(data-pipeline): port dd-trace-rs trace buffer implementation (#1826) - feat(info_fetcher): add timeout to info fetcher (#1890) - feat(shared_runtime)!: allow worker to be stopped after fork (#1893) - feat(sidecar)!: Add stats computation via SHM (#1821) - ci(libdd-shared-runtime): downgrade version so publish workflow succeeds (#1870) - feat(runtime)!: add shared runtime (#1602) - ci: compilation of libdd-data-pipeline to wasm32 (#1830) - feat(capabilities)!: trait architecture http (#1555) - feat(otel): add support for OTLP trace export (#1641) - fix(stats): align with css spec (#1790) --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: iunanua <18325288+iunanua@users.noreply.github.com>

Eldolfin added 13 commits March 24, 2026 17:54

feat(obfuscation/sql): feature parity on sql obfuscation

603496c

fix(obfuscation/sql): fmt

1ff2567

fix(sql): fuzzing fixes + refacto

ddf2b72

fix(sql): clippy

cc24741

fix(sql): wrong non_exhaustive enum

57a9d3e

fix(sql): lowercase limit collapse

77dc7a5

feat(sql): add all testcases extracted from the agent

0e2737d

fix(sql): limit should not be collapsed on mode == obfuscate_and_norm…

0724c29

…alize

fix(sql): fmt + failing test

396fa7e

feat(obfuscation): obfuscate_span

026d00d

wip weird merge

365dd8e

Merge branch 'main' into oscarld/span-obfuscation-parity

1da1ebb

wip: revert merge fails

3f97b1a

github-actions Bot added the mini-agent label Mar 25, 2026

Merge branch 'main' into oscarld/span-obfuscation-parity

c397b05

Eldolfin requested a review from Copilot March 25, 2026 12:41

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Eldolfin added 2 commits March 25, 2026 13:41

fix(obfuscate): small card obfuscation optimisation

b43c378

chore(LICENSE-3rdparty): update

cbaec9b

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Comment thread libdd-trace-obfuscation/src/obfuscate.rs

Eldolfin changed the title ~~feat(obfuscation): feature parity on span obfuscation [APMSP-2671]~~ feat!(obfuscation): feature parity on span obfuscation [APMSP-2671] Mar 25, 2026

Eldolfin changed the title ~~feat!(obfuscation): feature parity on span obfuscation [APMSP-2671]~~ feat(obfuscation)!: feature parity on span obfuscation [APMSP-2671] Mar 25, 2026

test(obfuscate): add span_obfuscation testcases

184fa65

Eldolfin marked this pull request as ready for review March 26, 2026 14:06

Eldolfin requested review from a team as code owners March 26, 2026 14:07

Eldolfin and others added 7 commits March 26, 2026 15:23

fix(obfuscate): check credit card enabled before obfuscating it

d2d1d94

feat(obfuscation): add obfuscate_span test with credit card disabled

eb2a532

Merge branch 'main' into oscarld/span-obfuscation-parity

f3721e7

fix(obfuscate): logic error fixes

e4ed095

feat(obfuscation): make ReplaceRule deserializable and add tag replac…

e187332

…ement tests for redis/valkey

feat(obfuscation): add more testcase to increase coverage

179bf12

feat(obfuscate): sort tests & add more

102a500

anais-raison reviewed Mar 27, 2026

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Comment thread libdd-trace-obfuscation/src/obfuscate.rs Outdated

Eldolfin and others added 2 commits March 27, 2026 14:46

Apply suggestions from code review

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Co-authored-by: Scarlett <77939650+anais-raison@users.noreply.github.com> Co-authored-by: Oscar Le Dauphin <90446228+Eldolfin@users.noreply.github.com>

fix(obfuscate): fmt

0a147ae

anais-raison approved these changes Mar 27, 2026

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feat(obfuscate): link ticket to error reporting todo

511e20d

gh-worker-dd-devflow-36fce6 Bot added mergequeue-status: waiting mergequeue-status: queued mergequeue-status: in_progress and removed mergequeue-status: waiting mergequeue-status: queued labels Mar 27, 2026

gh-worker-dd-mergequeue-cf854d Bot merged commit 102231d into main Mar 27, 2026
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dd-octo-sts Bot mentioned this pull request May 18, 2026

chore(release): proposal for libdd-sampling #2004

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dd-octo-sts Bot mentioned this pull request May 18, 2026

chore(release): proposal for libdd-data-pipeline #2007

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