feat(profiling)!: add heap-live allocation tracking to Profile

[realFlowControl]

What does this PR do?

This PR adds heap-live allocation tracking support

• heap-live tracking state inside libdd-profiling::internal::Profile
• a new internal heap-live tracker that retains allocation samples across profile resets
• ddog_prof_Profile_configure_heap_live() to configure heap-live tracking for a profile
• ddog_prof_Profile_add_tracked_allocation() to add a sample and retain it as a tracked live allocation
• ddog_prof_Profile_untrack_allocation() to remove a tracked allocation by pointer

It also updates reset/serialization behavior so tracked live allocations are re-injected automatically.

Motivation

I have a proof-of-concept already in dd-trace-php but figured that others could also benefit from this. It's an easy API for consumers that consume libdatadog in dd-trace-php style (one profile that get's reset, sorry Ruby).

Additional Notes

I was not sure if we should do something more sophisticated then a hashmap to track the allocations in libdatadog, I was thinking that this should be up to the calling profiler itself, because maybe the VM would let you limit calls to untrack anyway.
For PHP for example I think I can sneak in a bitmap after the chunk header.

How to test the change?

Describe here in detail how the change can be validated.

Used in DataDog/dd-trace-php#3623

[github-actions]

📚 Documentation Check Results

⚠️ 645 documentation warning(s) found

📦 libdd-profiling - 645 warning(s)

---

Updated: 2026-03-11 14:05:25 UTC | Commit: db81ea7 | missing-docs job results

[github-actions]

🔒 Cargo Deny Results

✅ No issues found!

📦 libdd-profiling - ✅ No issues

---

Updated: 2026-03-11 14:05:28 UTC | Commit: db81ea7 | dependency-check job results

[codecov-commenter]

Codecov Report

❌ Patch coverage is 86.33094% with 95 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.34%. Comparing base (b04809b) to head (f51c099).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1537      +/-   ##
==========================================
+ Coverage   71.18%   71.34%   +0.15%     
==========================================
  Files         429      430       +1     
  Lines       63503    64196     +693     
==========================================
+ Hits        45207    45802     +595     
- Misses      18296    18394      +98     

Components	Coverage Δ
libdd-crashtracker	62.36% <ø> (+0.03%)	⬆️
libdd-crashtracker-ffi	16.56% <ø> (ø)
libdd-alloc	98.77% <ø> (ø)
libdd-data-pipeline	88.19% <ø> (ø)
libdd-data-pipeline-ffi	75.96% <ø> (ø)
libdd-common	79.73% <ø> (ø)
libdd-common-ffi	73.40% <ø> (ø)
libdd-telemetry	62.45% <ø> (-0.04%)	⬇️
libdd-telemetry-ffi	16.75% <ø> (ø)
libdd-dogstatsd-client	82.64% <ø> (ø)
datadog-ipc	80.35% <ø> (-0.12%)	⬇️
libdd-profiling	81.91% <86.33%> (+0.32%)	⬆️
libdd-profiling-ffi	65.28% <90.35%> (+1.62%)	⬆️
datadog-sidecar	32.49% <ø> (ø)
datdog-sidecar-ffi	7.81% <ø> (ø)
spawn-worker	54.69% <ø> (ø)
libdd-tinybytes	93.16% <ø> (ø)
libdd-trace-normalization	81.71% <ø> (ø)
libdd-trace-obfuscation	91.80% <ø> (ø)
libdd-trace-protobuf	68.25% <ø> (ø)
libdd-trace-utils	89.08% <ø> (ø)
datadog-tracer-flare	90.45% <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.

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2026-03-11 13:48:36

Comparing candidate commit f51c099 in PR branch florian/heap-live-tracking with baseline commit c8a4b19 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 58 metrics, 2 unstable metrics.

Explanation

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

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

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

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

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

More details about the CI and significant changes

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

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

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

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

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

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

Candidate

Candidate benchmark details

Group 1

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	f51c099	1773235972	florian/heap-live-tracking

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	48.773ms	49.247ms ± 1.421ms	49.031ms ± 0.077ms	49.099ms	49.395ms	57.260ms	63.534ms	29.58%	7.895	66.449	2.88%	0.100ms	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	[49.050ms; 49.444ms] or [-0.400%; +0.400%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	f51c099	1773235972	florian/heap-live-tracking

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_trace/test_trace	execution_time	245.971ns	256.295ns ± 11.546ns	251.371ns ± 3.488ns	262.883ns	283.017ns	288.803ns	292.195ns	16.24%	1.493	1.164	4.49%	0.816ns	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_trace/test_trace	execution_time	[254.695ns; 257.896ns] or [-0.624%; +0.624%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	f51c099	1773235972	florian/heap-live-tracking

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	206.013µs	206.727µs ± 0.345µs	206.687µs ± 0.231µs	206.945µs	207.341µs	207.532µs	207.646µs	0.46%	0.375	-0.449	0.17%	0.024µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4815887.953op/s	4837315.945op/s ± 8075.427op/s	4838225.433op/s ± 5397.838op/s	4843030.985op/s	4848850.616op/s	4851805.529op/s	4854062.608op/s	0.33%	-0.368	-0.456	0.17%	571.019op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.617µs	18.760µs ± 0.127µs	18.701µs ± 0.048µs	18.844µs	19.022µs	19.136µs	19.243µs	2.90%	1.285	1.117	0.68%	0.009µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	51967452.520op/s	53308553.236op/s ± 358766.772op/s	53473379.515op/s ± 136447.257op/s	53573907.441op/s	53652278.860op/s	53695477.503op/s	53715398.520op/s	0.45%	-1.256	1.000	0.67%	25368.642op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.786µs	10.874µs ± 0.043µs	10.871µs ± 0.030µs	10.905µs	10.948µs	10.982µs	10.996µs	1.16%	0.438	-0.178	0.39%	0.003µs	1	200
normalization/normalize_name/normalize_name/good	throughput	90938089.349op/s	91959805.468op/s ± 361576.377op/s	91990591.521op/s ± 253752.461op/s	92230142.649op/s	92505516.254op/s	92622348.813op/s	92712312.980op/s	0.78%	-0.419	-0.201	0.39%	25567.311op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	[206.679µs; 206.775µs] or [-0.023%; +0.023%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4836196.769op/s; 4838435.122op/s] or [-0.023%; +0.023%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.742µs; 18.777µs] or [-0.094%; +0.094%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[53258831.612op/s; 53358274.860op/s] or [-0.093%; +0.093%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.869µs; 10.880µs] or [-0.055%; +0.055%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[91909694.460op/s; 92009916.477op/s] or [-0.054%; +0.054%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	f51c099	1773235972	florian/heap-live-tracking

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	189.994ns	192.246ns ± 1.945ns	192.000ns ± 1.528ns	193.295ns	195.693ns	198.104ns	199.591ns	3.95%	1.101	1.396	1.01%	0.138ns	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
single_flag_killswitch/rules-based	execution_time	[191.977ns; 192.516ns] or [-0.140%; +0.140%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	f51c099	1773235972	florian/heap-live-tracking

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	144.393µs	146.332µs ± 1.696µs	146.050µs ± 0.496µs	146.592µs	148.033µs	153.455µs	162.904µs	11.54%	5.962	49.186	1.16%	0.120µs	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	[146.097µs; 146.567µs] or [-0.161%; +0.161%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	f51c099	1773235972	florian/heap-live-tracking

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	10.677ms	10.706ms ± 0.013ms	10.704ms ± 0.008ms	10.713ms	10.730ms	10.740ms	10.767ms	0.59%	1.186	2.627	0.12%	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	[10.704ms; 10.708ms] or [-0.017%; +0.017%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	f51c099	1773235972	florian/heap-live-tracking

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	493.303µs	494.248µs ± 1.289µs	494.119µs ± 0.320µs	494.415µs	494.951µs	497.561µs	506.142µs	2.43%	7.831	68.752	0.26%	0.091µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1975728.396op/s	2023289.193op/s ± 5173.474op/s	2023804.893op/s ± 1309.803op/s	2025205.996op/s	2026589.359op/s	2026896.073op/s	2027150.528op/s	0.17%	-7.758	67.831	0.26%	365.820op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	369.864µs	370.579µs ± 0.280µs	370.569µs ± 0.189µs	370.761µs	371.074µs	371.322µs	371.397µs	0.22%	0.362	0.313	0.08%	0.020µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2692538.764op/s	2698478.678op/s ± 2036.917op/s	2698552.608op/s ± 1375.693op/s	2699905.556op/s	2701427.048op/s	2702907.130op/s	2703696.494op/s	0.19%	-0.357	0.308	0.08%	144.032op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	167.303µs	167.595µs ± 0.145µs	167.581µs ± 0.088µs	167.667µs	167.855µs	168.061µs	168.113µs	0.32%	0.865	1.392	0.09%	0.010µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5948374.199op/s	5966779.809op/s ± 5144.041op/s	5967250.342op/s ± 3133.499op/s	5970426.534op/s	5973910.765op/s	5975988.034op/s	5977179.130op/s	0.17%	-0.859	1.373	0.09%	363.739op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.960µs	37.217µs ± 0.078µs	37.233µs ± 0.039µs	37.271µs	37.305µs	37.351µs	37.372µs	0.37%	-1.021	0.781	0.21%	0.006µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26757840.598op/s	26869883.698op/s ± 56295.880op/s	26857621.194op/s ± 27784.521op/s	26890807.354op/s	26985266.362op/s	27037890.929op/s	27056462.221op/s	0.74%	1.032	0.804	0.21%	3980.720op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.397µs	45.587µs ± 0.075µs	45.593µs ± 0.047µs	45.637µs	45.705µs	45.763µs	45.917µs	0.71%	0.195	1.159	0.16%	0.005µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21778447.371op/s	21935945.191op/s ± 35903.771op/s	21933210.208op/s ± 22456.116op/s	21960241.958op/s	21995695.614op/s	22012786.630op/s	22027655.477op/s	0.43%	-0.180	1.117	0.16%	2538.780op/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	[494.069µs; 494.427µs] or [-0.036%; +0.036%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2022572.199op/s; 2024006.187op/s] or [-0.035%; +0.035%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[370.541µs; 370.618µs] or [-0.010%; +0.010%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2698196.381op/s; 2698760.975op/s] or [-0.010%; +0.010%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[167.575µs; 167.615µs] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5966066.895op/s; 5967492.724op/s] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.206µs; 37.227µs] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26862081.630op/s; 26877685.765op/s] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.577µs; 45.598µs] or [-0.023%; +0.023%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21930969.274op/s; 21940921.109op/s] or [-0.023%; +0.023%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	f51c099	1773235972	florian/heap-live-tracking

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	3.899µs	3.915µs ± 0.006µs	3.915µs ± 0.002µs	3.917µs	3.920µs	3.922µs	3.969µs	1.39%	6.710	57.807	0.15%	0.000µs	1	200
credit_card/is_card_number/	throughput	251928972.996op/s	255398880.599op/s ± 377000.241op/s	255443157.123op/s ± 116989.095op/s	255550819.707op/s	255660895.553op/s	255742805.585op/s	256461725.899op/s	0.40%	-6.644	57.089	0.15%	26657.943op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	79.668µs	80.215µs ± 0.114µs	80.218µs ± 0.037µs	80.253µs	80.319µs	80.394µs	81.325µs	1.38%	3.664	46.555	0.14%	0.008µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12296301.922op/s	12466459.179op/s ± 17667.919op/s	12465983.448op/s ± 5687.558op/s	12472244.268op/s	12485058.509op/s	12494972.960op/s	12552106.304op/s	0.69%	-3.515	45.253	0.14%	1249.311op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	67.826µs	67.940µs ± 0.073µs	67.934µs ± 0.032µs	67.969µs	68.036µs	68.113µs	68.600µs	0.98%	3.906	32.361	0.11%	0.005µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	14577345.623op/s	14718901.542op/s ± 15697.948op/s	14720190.075op/s ± 6962.413op/s	14726630.821op/s	14739066.929op/s	14741883.795op/s	14743667.396op/s	0.16%	-3.846	31.646	0.11%	1110.013op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.894µs	3.915µs ± 0.003µs	3.916µs ± 0.001µs	3.917µs	3.919µs	3.922µs	3.934µs	0.47%	-0.675	17.260	0.08%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254193875.351op/s	255396214.871op/s ± 202001.102op/s	255385413.652op/s ± 93421.541op/s	255487329.698op/s	255643641.296op/s	255743172.258op/s	256836343.640op/s	0.57%	0.720	17.381	0.08%	14283.635op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	64.603µs	64.718µs ± 0.058µs	64.712µs ± 0.037µs	64.753µs	64.825µs	64.845µs	64.904µs	0.30%	0.504	-0.169	0.09%	0.004µs	1	200
credit_card/is_card_number/378282246310005	throughput	15407324.940op/s	15451724.096op/s ± 13823.145op/s	15453190.740op/s ± 8955.610op/s	15461372.083op/s	15471527.979op/s	15476529.904op/s	15479262.432op/s	0.17%	-0.499	-0.175	0.09%	977.444op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	45.456µs	45.698µs ± 0.098µs	45.698µs ± 0.069µs	45.774µs	45.847µs	45.913µs	45.964µs	0.58%	0.016	-0.294	0.21%	0.007µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	21756360.159op/s	21882850.258op/s ± 46909.551op/s	21882629.569op/s ± 33211.435op/s	21913489.947op/s	21959395.670op/s	21981006.610op/s	21999331.381op/s	0.53%	-0.005	-0.297	0.21%	3317.006op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.555µs	6.625µs ± 0.016µs	6.630µs ± 0.009µs	6.637µs	6.642µs	6.646µs	6.649µs	0.28%	-1.346	2.197	0.25%	0.001µs	1	200
credit_card/is_card_number/x371413321323331	throughput	150398226.834op/s	150953908.607op/s ± 376519.249op/s	150822012.480op/s ± 211399.075op/s	151147860.972op/s	151586619.055op/s	152161102.500op/s	152545182.550op/s	1.14%	1.364	2.278	0.25%	26623.931op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.895µs	3.915µs ± 0.003µs	3.915µs ± 0.002µs	3.916µs	3.921µs	3.924µs	3.925µs	0.28%	-0.404	7.336	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254747425.157op/s	255421418.739op/s ± 209071.536op/s	255455116.539op/s ± 103798.822op/s	255551908.982op/s	255674793.369op/s	255705932.540op/s	256732392.504op/s	0.50%	0.426	7.461	0.08%	14783.590op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	65.078µs	65.724µs ± 0.079µs	65.732µs ± 0.048µs	65.775µs	65.820µs	65.870µs	65.884µs	0.23%	-2.695	20.098	0.12%	0.006µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15178155.836op/s	15215263.479op/s ± 18462.444op/s	15213359.160op/s ± 11210.073op/s	15225852.004op/s	15239750.791op/s	15251123.444op/s	15366120.416op/s	1.00%	2.749	20.654	0.12%	1305.492op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	53.363µs	53.442µs ± 0.035µs	53.445µs ± 0.021µs	53.462µs	53.491µs	53.547µs	53.588µs	0.27%	0.553	1.697	0.07%	0.002µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18660910.901op/s	18712054.357op/s ± 12192.658op/s	18710915.461op/s ± 7297.181op/s	18719994.954op/s	18731798.272op/s	18735679.345op/s	18739561.167op/s	0.15%	-0.547	1.677	0.06%	862.151op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.895µs	3.915µs ± 0.003µs	3.915µs ± 0.002µs	3.917µs	3.919µs	3.921µs	3.923µs	0.21%	-1.427	10.699	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254893328.389op/s	255443648.605op/s ± 182044.620op/s	255434021.393op/s ± 118282.761op/s	255565705.944op/s	255680578.247op/s	255726608.561op/s	256718437.046op/s	0.50%	1.450	10.872	0.07%	12872.499op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	50.150µs	50.215µs ± 0.057µs	50.206µs ± 0.023µs	50.231µs	50.285µs	50.364µs	50.661µs	0.91%	4.702	32.382	0.11%	0.004µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	19738950.407op/s	19914526.876op/s ± 22372.121op/s	19918062.072op/s ± 9180.181op/s	19926690.205op/s	19935531.382op/s	19938734.192op/s	19940270.913op/s	0.11%	-4.661	31.950	0.11%	1581.948op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	45.438µs	45.716µs ± 0.107µs	45.717µs ± 0.080µs	45.792µs	45.887µs	45.936µs	45.945µs	0.50%	-0.064	-0.532	0.23%	0.008µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	21765290.265op/s	21874467.855op/s ± 51193.959op/s	21873823.595op/s ± 38398.088op/s	21913556.275op/s	21959587.254op/s	21980386.470op/s	22008015.339op/s	0.61%	0.075	-0.529	0.23%	3619.960op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.565µs	6.625µs ± 0.016µs	6.631µs ± 0.010µs	6.638µs	6.644µs	6.648µs	6.651µs	0.30%	-1.013	0.935	0.24%	0.001µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	150358207.782op/s	150933639.048op/s ± 365188.140op/s	150804122.414op/s ± 232146.889op/s	151169265.771op/s	151585540.056op/s	152085138.463op/s	152320252.777op/s	1.01%	1.027	0.985	0.24%	25822.701op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
credit_card/is_card_number/	execution_time	[3.915µs; 3.916µs] or [-0.021%; +0.021%]	None	None	None
credit_card/is_card_number/	throughput	[255346631.992op/s; 255451129.207op/s] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[80.200µs; 80.231µs] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12464010.576op/s; 12468907.783op/s] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[67.930µs; 67.950µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14716725.957op/s; 14721077.126op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.915µs; 3.916µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255368219.461op/s; 255424210.281op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[64.710µs; 64.726µs] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[15449808.341op/s; 15453639.851op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[45.685µs; 45.712µs] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[21876349.045op/s; 21889351.470op/s] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.622µs; 6.627µs] or [-0.034%; +0.034%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[150901726.660op/s; 151006090.553op/s] or [-0.035%; +0.035%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.915µs; 3.916µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255392443.435op/s; 255450394.044op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[65.713µs; 65.735µs] or [-0.017%; +0.017%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15212704.762op/s; 15217822.196op/s] or [-0.017%; +0.017%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[53.437µs; 53.446µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18710364.571op/s; 18713744.142op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.914µs; 3.915µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255418418.971op/s; 255468878.238op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[50.207µs; 50.223µs] or [-0.016%; +0.016%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[19911426.315op/s; 19917627.437op/s] or [-0.016%; +0.016%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[45.701µs; 45.730µs] or [-0.032%; +0.032%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[21867372.865op/s; 21881562.846op/s] or [-0.032%; +0.032%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.623µs; 6.628µs] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[150883027.484op/s; 150984250.612op/s] or [-0.034%; +0.034%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	f51c099	1773235972	florian/heap-live-tracking

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	3.432ms	3.473ms ± 0.028ms	3.464ms ± 0.011ms	3.481ms	3.538ms	3.560ms	3.572ms	3.14%	1.547	1.833	0.80%	0.002ms	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	[3.469ms; 3.477ms] or [-0.111%; +0.111%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	f51c099	1773235972	florian/heap-live-tracking

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching serializing traces from their internal representation to msgpack	execution_time	13.898ms	13.935ms ± 0.028ms	13.930ms ± 0.010ms	13.941ms	13.979ms	14.043ms	14.156ms	1.62%	3.548	19.903	0.20%	0.002ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching serializing traces from their internal representation to msgpack	execution_time	[13.932ms; 13.939ms] or [-0.028%; +0.028%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	f51c099	1773235972	florian/heap-live-tracking

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	33.636µs	34.182µs ± 0.893µs	33.764µs ± 0.061µs	33.924µs	36.039µs	36.094µs	38.063µs	12.73%	1.827	1.952	2.61%	0.063µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[34.058µs; 34.306µs] or [-0.362%; +0.362%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	f51c099	1773235972	florian/heap-live-tracking

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	4.275ms	4.279ms ± 0.007ms	4.278ms ± 0.002ms	4.280ms	4.283ms	4.285ms	4.372ms	2.18%	11.588	149.815	0.16%	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	[4.278ms; 4.280ms] or [-0.023%; +0.023%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	f51c099	1773235972	florian/heap-live-tracking

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	88.229µs	88.680µs ± 0.200µs	88.696µs ± 0.092µs	88.770µs	88.872µs	88.991µs	90.577µs	2.12%	4.103	38.913	0.23%	0.014µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[88.652µs; 88.707µs] or [-0.031%; +0.031%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	f51c099	1773235972	florian/heap-live-tracking

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	163.699µs	164.372µs ± 0.273µs	164.337µs ± 0.131µs	164.486µs	164.822µs	165.222µs	165.775µs	0.88%	1.333	4.452	0.17%	0.019µs	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	[164.334µs; 164.410µs] or [-0.023%; +0.023%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	f51c099	1773235972	florian/heap-live-tracking

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	4.968µs	5.039µs ± 0.053µs	5.010µs ± 0.029µs	5.075µs	5.133µs	5.138µs	5.141µs	2.60%	0.597	-1.116	1.04%	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	[5.031µs; 5.046µs] or [-0.145%; +0.145%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	f51c099	1773235972	florian/heap-live-tracking

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	2.399µs	2.450µs ± 0.051µs	2.440µs ± 0.020µs	2.456µs	2.553µs	2.644µs	2.645µs	8.37%	2.416	6.037	2.08%	0.004µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
tags/replace_trace_tags	execution_time	[2.443µs; 2.457µs] or [-0.289%; +0.289%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	f51c099	1773235972	florian/heap-live-tracking

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
write only interface	execution_time	1.224µs	3.249µs ± 1.451µs	3.016µs ± 0.026µs	3.053µs	3.716µs	14.398µs	14.924µs	394.79%	7.294	54.501	44.54%	0.103µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.048µs; 3.450µs] or [-6.188%; +6.188%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	f51c099	1773235972	florian/heap-live-tracking

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	17.559µs	25.546µs ± 9.540µs	18.093µs ± 0.492µs	33.873µs	42.521µs	43.863µs	63.372µs	250.26%	0.881	0.280	37.25%	0.675µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.224µs; 26.868µs] or [-5.176%; +5.176%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	f51c099	1773235972	florian/heap-live-tracking

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	732.929µs	735.125µs ± 0.934µs	735.089µs ± 0.513µs	735.595µs	736.422µs	737.432µs	740.614µs	0.75%	1.105	5.355	0.13%	0.066µs	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	[734.995µs; 735.254µs] or [-0.018%; +0.018%]	None	None	None

Baseline

Omitted due to size.

[dd-octo-sts]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.63 MB	8.70 MB	+.72% (+64.00 KB) 🔍
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	100.28 MB	100.51 MB	+.23% (+236.40 KB) 🔍

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	116.94 MB	117.22 MB	+.23% (+283.99 KB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.21 MB	11.28 MB	+.62% (+71.53 KB) 🔍

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.16 MB	27.24 MB	+.29% (+81.50 KB) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	76.26 KB	77.22 KB	+1.25% (+984 B) ⚠️
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	186.01 MB	186.62 MB	+.32% (+624.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	917.15 MB	918.79 MB	+.17% (+1.64 MB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.93 MB	9.95 MB	+.20% (+20.50 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	76.26 KB	77.22 KB	+1.25% (+984 B) ⚠️
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	24.77 MB	24.83 MB	+.25% (+64.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	51.43 MB	51.56 MB	+.24% (+129.71 KB) 🔍

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	22.97 MB	23.04 MB	+.31% (+73.00 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	77.44 KB	78.42 KB	+1.25% (+998 B) ⚠️
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	190.26 MB	190.84 MB	+.30% (+592.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	900.80 MB	902.29 MB	+.16% (+1.48 MB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	7.53 MB	7.55 MB	+.22% (+17.00 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	77.44 KB	78.42 KB	+1.25% (+998 B) ⚠️
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	26.51 MB	26.59 MB	+.29% (+80.00 KB) 🔍
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	47.05 MB	47.18 MB	+.26% (+127.19 KB) 🔍

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	87.50 MB	87.72 MB	+.25% (+225.85 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	10.21 MB	10.23 MB	+.19% (+20.00 KB) 🔍

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	109.81 MB	110.06 MB	+.22% (+256.47 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.95 MB	11.97 MB	+.13% (+16.64 KB) 🔍

[github-actions]

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

• Base Branch: origin/main
• PR Branch: origin/florian/heap-live-tracking

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-profiling/src/internal/profile/mod.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	28	28	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	59	59	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	9	9	No change (0%)
libdd-trace-utils	15	15	No change (0%)
Total	208	208	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.