ci: run thread count test in own process by gyuheon0h · Pull Request #1693 · DataDog/libdatadog

gyuheon0h · 2026-03-09T14:44:57Z

What does this PR do?

We had a test to test a util function that counts the number of threads running. It did this by counting the number of threads in the beginning, spawning N threads, then checking that there are (# at beginning + N threads) at the end. This test is flaky, because cargo tests are run in parallel, and threads from other tests running get counted in the beginning, but may finish and not be present when checked after N threads are spawned.

Motivation

What inspired you to submit this pull request?

Additional Notes

Anything else we should know when reviewing?

How to test the change?

Describe here in detail how the change can be validated.

gyuheon0h · 2026-03-09T14:45:16Z

ci: run thread count test in own process #1693 👈 (View in Graphite)
main

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codecov-commenter · 2026-03-09T14:58:02Z

Codecov Report

❌ Patch coverage is 92.00000% with 2 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.06%. Comparing base (79f879e) to head (1094da4).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1693      +/-   ##
==========================================
+ Coverage   71.05%   71.06%   +0.01%     
==========================================
  Files         427      427              
  Lines       62963    62962       -1     
==========================================
+ Hits        44738    44746       +8     
+ Misses      18225    18216       -9

Components	Coverage Δ
libdd-crashtracker	`62.42% <ø> (-0.02%)`	⬇️
libdd-crashtracker-ffi	`17.49% <ø> (ø)`
libdd-alloc	`98.77% <ø> (ø)`
libdd-data-pipeline	`88.02% <ø> (ø)`
libdd-data-pipeline-ffi	`75.72% <ø> (ø)`
libdd-common	`79.73% <92.00%> (-0.01%)`	⬇️
libdd-common-ffi	`73.40% <ø> (ø)`
libdd-telemetry	`62.48% <ø> (ø)`
libdd-telemetry-ffi	`16.75% <ø> (ø)`
libdd-dogstatsd-client	`82.64% <ø> (ø)`
datadog-ipc	`80.47% <ø> (+0.11%)`	⬆️
libdd-profiling	`81.60% <ø> (ø)`
libdd-profiling-ffi	`63.65% <ø> (ø)`
datadog-sidecar	`32.47% <ø> (ø)`
datdog-sidecar-ffi	`7.73% <ø> (ø)`
spawn-worker	`54.69% <ø> (ø)`
libdd-tinybytes	`93.16% <ø> (ø)`
libdd-trace-normalization	`81.71% <ø> (ø)`
libdd-trace-obfuscation	`94.69% <ø> (ø)`
libdd-trace-protobuf	`68.25% <ø> (ø)`
libdd-trace-utils	`89.08% <ø> (ø)`
datadog-tracer-flare	`88.95% <ø> (ø)`
libdd-log	`74.69% <ø> (ø)`

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❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
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pr-commenter · 2026-03-09T15:01:13Z

Benchmarks

Comparison

Benchmark execution time: 2026-03-09 17:40:36

Comparing candidate commit 1094da4 in PR branch gyuheon0h/subprocess-thread-count with baseline commit 79f879e 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	`1094da4`	1773077019	gyuheon0h/subprocess-thread-count

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	144.089µs	146.250µs ± 1.670µs	146.021µs ± 0.548µs	146.568µs	147.633µs	151.636µs	162.839µs	11.52%	6.224	53.361	1.14%	0.118µs	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	[146.018µs; 146.481µs] or [-0.158%; +0.158%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1094da4`	1773077019	gyuheon0h/subprocess-thread-count

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	14.068ms	14.119ms ± 0.035ms	14.113ms ± 0.015ms	14.128ms	14.189ms	14.256ms	14.316ms	1.44%	2.400	8.231	0.25%	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	[14.114ms; 14.123ms] or [-0.035%; +0.035%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1094da4`	1773077019	gyuheon0h/subprocess-thread-count

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	717.059µs	718.434µs ± 0.736µs	718.273µs ± 0.370µs	718.823µs	719.712µs	720.170µs	723.472µs	0.72%	1.935	9.857	0.10%	0.052µs	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	[718.332µs; 718.536µs] or [-0.014%; +0.014%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1094da4`	1773077019	gyuheon0h/subprocess-thread-count

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	3.399ms	3.433ms ± 0.020ms	3.429ms ± 0.008ms	3.436ms	3.471ms	3.500ms	3.535ms	3.10%	2.120	5.973	0.58%	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	[3.430ms; 3.435ms] or [-0.081%; +0.081%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1094da4`	1773077019	gyuheon0h/subprocess-thread-count

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	4.234ms	4.240ms ± 0.008ms	4.239ms ± 0.002ms	4.241ms	4.245ms	4.247ms	4.343ms	2.45%	11.482	148.131	0.18%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample_frames_x1000	execution_time	[4.239ms; 4.241ms] or [-0.026%; +0.026%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1094da4`	1773077019	gyuheon0h/subprocess-thread-count

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	188.433ns	190.926ns ± 2.172ns	190.784ns ± 1.632ns	191.835ns	195.170ns	197.532ns	198.613ns	4.10%	1.147	1.241	1.13%	0.154ns	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	[190.625ns; 191.227ns] or [-0.158%; +0.158%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1094da4`	1773077019	gyuheon0h/subprocess-thread-count

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	185.244µs	185.772µs ± 0.248µs	185.726µs ± 0.182µs	185.975µs	186.197µs	186.326µs	186.420µs	0.37%	0.354	-0.753	0.13%	0.018µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5364237.061op/s	5382953.669op/s ± 7179.574op/s	5384269.238op/s ± 5270.527op/s	5388738.184op/s	5392969.873op/s	5395699.789op/s	5398276.762op/s	0.26%	-0.350	-0.757	0.13%	507.673op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.885µs	18.002µs ± 0.102µs	17.992µs ± 0.025µs	18.018µs	18.075µs	18.129µs	19.289µs	7.21%	10.214	126.385	0.56%	0.007µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	51843967.954op/s	55549867.217op/s ± 297074.457op/s	55579790.636op/s ± 77393.422op/s	55649376.240op/s	55768732.997op/s	55899759.499op/s	55912907.424op/s	0.60%	-9.807	119.531	0.53%	21006.336op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.315µs	10.396µs ± 0.047µs	10.385µs ± 0.028µs	10.426µs	10.495µs	10.528µs	10.576µs	1.84%	0.929	0.714	0.45%	0.003µs	1	200
normalization/normalize_name/normalize_name/good	throughput	94550455.561op/s	96192445.184op/s ± 435954.978op/s	96291957.257op/s ± 263888.655op/s	96526543.528op/s	96743294.563op/s	96826363.516op/s	96944842.057op/s	0.68%	-0.904	0.641	0.45%	30826.672op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	[185.738µs; 185.806µs] 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	[5381958.649op/s; 5383948.689op/s] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.988µs; 18.016µs] or [-0.078%; +0.078%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55508695.554op/s; 55591038.879op/s] or [-0.074%; +0.074%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.389µs; 10.403µs] or [-0.063%; +0.063%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[96132026.017op/s; 96252864.351op/s] or [-0.063%; +0.063%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1094da4`	1773077019	gyuheon0h/subprocess-thread-count

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	1.190µs	3.223µs ± 1.437µs	2.997µs ± 0.028µs	3.023µs	3.689µs	14.183µs	14.756µs	392.44%	7.271	54.305	44.48%	0.102µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.024µs; 3.422µs] or [-6.180%; +6.180%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1094da4`	1773077019	gyuheon0h/subprocess-thread-count

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	2.436µs	2.495µs ± 0.018µs	2.496µs ± 0.010µs	2.506µs	2.522µs	2.530µs	2.532µs	1.46%	-0.787	1.045	0.73%	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	[2.492µs; 2.497µs] or [-0.101%; +0.101%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1094da4`	1773077019	gyuheon0h/subprocess-thread-count

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	32.383µs	33.629µs ± 1.784µs	32.496µs ± 0.055µs	36.052µs	36.707µs	36.760µs	36.985µs	13.81%	0.932	-1.078	5.29%	0.126µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.382µs; 33.877µs] or [-0.735%; +0.735%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1094da4`	1773077019	gyuheon0h/subprocess-thread-count

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	10.655ms	10.690ms ± 0.014ms	10.688ms ± 0.008ms	10.698ms	10.717ms	10.724ms	10.757ms	0.65%	0.935	2.061	0.13%	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	[10.688ms; 10.692ms] or [-0.019%; +0.019%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1094da4`	1773077019	gyuheon0h/subprocess-thread-count

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	3.893µs	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.914µs	3.917µs	3.918µs	3.920µs	0.19%	-1.323	11.805	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	255131221.893op/s	255609835.607op/s ± 173403.750op/s	255621842.887op/s ± 102912.435op/s	255717956.302op/s	255816305.479op/s	255897084.746op/s	256848592.377op/s	0.48%	1.347	11.993	0.07%	12261.497op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	79.114µs	79.777µs ± 0.404µs	79.717µs ± 0.240µs	79.965µs	80.452µs	81.196µs	81.343µs	2.04%	1.166	2.057	0.50%	0.029µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12293655.625op/s	12535279.739op/s ± 63096.027op/s	12544395.713op/s ± 37773.885op/s	12580747.997op/s	12618436.166op/s	12633079.124op/s	12639949.825op/s	0.76%	-1.125	1.910	0.50%	4461.563op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	72.454µs	73.018µs ± 0.329µs	72.962µs ± 0.224µs	73.225µs	73.605µs	73.854µs	73.960µs	1.37%	0.486	-0.381	0.45%	0.023µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13520912.806op/s	13695482.463op/s ± 61527.080op/s	13705672.778op/s ± 41932.242op/s	13742555.541op/s	13782201.113op/s	13792933.964op/s	13801809.044op/s	0.70%	-0.467	-0.409	0.45%	4350.622op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.894µs	3.913µs ± 0.003µs	3.912µs ± 0.002µs	3.915µs	3.919µs	3.921µs	3.921µs	0.24%	-0.362	5.056	0.08%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	255015300.918op/s	255574896.070op/s ± 210628.393op/s	255620743.623op/s ± 105421.390op/s	255693411.195op/s	255825764.963op/s	255904988.077op/s	256810527.785op/s	0.47%	0.379	5.148	0.08%	14893.676op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	69.212µs	69.696µs ± 0.323µs	69.621µs ± 0.216µs	69.891µs	70.267µs	70.615µs	70.783µs	1.67%	0.953	0.629	0.46%	0.023µs	1	200
credit_card/is_card_number/378282246310005	throughput	14127631.970op/s	14348316.337op/s ± 66242.589op/s	14363566.815op/s ± 44588.278op/s	14401907.199op/s	14428490.648op/s	14442962.225op/s	14448387.650op/s	0.59%	-0.929	0.561	0.46%	4684.058op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.150µs	52.223µs ± 0.035µs	52.218µs ± 0.022µs	52.243µs	52.284µs	52.317µs	52.352µs	0.26%	0.743	0.806	0.07%	0.003µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19101440.388op/s	19148525.708op/s ± 12977.210op/s	19150651.649op/s ± 7957.135op/s	19157108.193op/s	19165241.823op/s	19173321.225op/s	19175459.247op/s	0.13%	-0.738	0.795	0.07%	917.627op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.027µs	6.041µs ± 0.013µs	6.038µs ± 0.003µs	6.041µs	6.076µs	6.081µs	6.116µs	1.28%	3.438	13.487	0.21%	0.001µs	1	200
credit_card/is_card_number/x371413321323331	throughput	163507753.445op/s	165539189.432op/s ± 341510.328op/s	165606887.529op/s ± 86509.590op/s	165695207.304op/s	165784865.274op/s	165853345.875op/s	165928749.374op/s	0.19%	-3.416	13.290	0.21%	24148.427op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.898µs	3.913µs ± 0.003µs	3.913µs ± 0.002µs	3.915µs	3.918µs	3.920µs	3.921µs	0.22%	-0.349	2.806	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255014461.295op/s	255555143.487op/s ± 189443.241op/s	255566009.728op/s ± 117902.996op/s	255676370.532op/s	255815984.162op/s	255899860.389op/s	256542151.050op/s	0.38%	0.360	2.849	0.07%	13395.660op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.120µs	64.446µs ± 0.152µs	64.426µs ± 0.104µs	64.542µs	64.698µs	64.850µs	65.002µs	0.89%	0.625	0.546	0.23%	0.011µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15384098.030op/s	15516915.904op/s ± 36446.645op/s	15521652.133op/s ± 25100.124op/s	15543092.080op/s	15566591.526op/s	15588558.410op/s	15595756.395op/s	0.48%	-0.610	0.512	0.23%	2577.167op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	58.133µs	58.380µs ± 0.162µs	58.342µs ± 0.089µs	58.451µs	58.765µs	58.841µs	58.894µs	0.95%	1.096	0.935	0.28%	0.011µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	16979681.836op/s	17129179.914op/s ± 47467.554op/s	17140319.977op/s ± 26042.823op/s	17162227.226op/s	17189182.762op/s	17197353.757op/s	17201919.734op/s	0.36%	-1.082	0.897	0.28%	3356.463op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.893µs	3.913µs ± 0.004µs	3.912µs ± 0.001µs	3.914µs	3.917µs	3.920µs	3.948µs	0.91%	4.296	36.272	0.11%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	253297728.232op/s	255568380.924op/s ± 287299.614op/s	255606766.950op/s ± 97579.178op/s	255698326.014op/s	255801806.488op/s	255872950.954op/s	256892201.597op/s	0.50%	-4.229	35.805	0.11%	20315.151op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	54.591µs	54.981µs ± 0.277µs	54.941µs ± 0.176µs	55.103µs	55.582µs	55.752µs	55.951µs	1.84%	1.045	0.973	0.50%	0.020µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17872778.031op/s	18188443.543op/s ± 91140.185op/s	18201214.138op/s ± 58348.757op/s	18261368.717op/s	18295748.789op/s	18310918.750op/s	18318100.457op/s	0.64%	-1.017	0.890	0.50%	6444.584op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	52.159µs	52.228µs ± 0.037µs	52.225µs ± 0.025µs	52.250µs	52.297µs	52.329µs	52.354µs	0.25%	0.660	0.179	0.07%	0.003µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19100590.974op/s	19146684.070op/s ± 13714.690op/s	19148029.378op/s ± 9206.347op/s	19157166.492op/s	19165542.750op/s	19169470.628op/s	19172263.486op/s	0.13%	-0.656	0.170	0.07%	969.775op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.029µs	6.044µs ± 0.018µs	6.038µs ± 0.004µs	6.044µs	6.078µs	6.116µs	6.148µs	1.82%	3.029	11.183	0.30%	0.001µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	162651292.729op/s	165450975.247op/s ± 496656.815op/s	165614605.308op/s ± 110450.721op/s	165707386.940op/s	165821020.375op/s	165868720.527op/s	165876323.615op/s	0.16%	-2.994	10.891	0.30%	35118.940op/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	[255585803.514op/s; 255633867.699op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[79.721µs; 79.833µs] or [-0.070%; +0.070%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12526535.237op/s; 12544024.242op/s] or [-0.070%; +0.070%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[72.973µs; 73.064µs] or [-0.062%; +0.062%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13686955.401op/s; 13704009.524op/s] or [-0.062%; +0.062%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255545705.000op/s; 255604087.139op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[69.651µs; 69.741µs] or [-0.064%; +0.064%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14339135.751op/s; 14357496.923op/s] or [-0.064%; +0.064%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.218µs; 52.228µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19146727.191op/s; 19150324.224op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.039µs; 6.043µs] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[165491859.385op/s; 165586519.479op/s] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.913µs; 3.913µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255528888.476op/s; 255581398.498op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[64.425µs; 64.467µs] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15511864.750op/s; 15521967.059op/s] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[58.358µs; 58.403µs] or [-0.039%; +0.039%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17122601.367op/s; 17135758.460op/s] or [-0.038%; +0.038%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.016%; +0.016%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255528563.961op/s; 255608197.888op/s] or [-0.016%; +0.016%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[54.943µs; 55.020µs] or [-0.070%; +0.070%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18175812.390op/s; 18201074.696op/s] or [-0.069%; +0.069%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.223µs; 52.234µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19144783.346op/s; 19148584.794op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.042µs; 6.047µs] or [-0.042%; +0.042%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[165382143.389op/s; 165519807.105op/s] or [-0.042%; +0.042%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1094da4`	1773077019	gyuheon0h/subprocess-thread-count

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	86.036µs	86.401µs ± 0.164µs	86.382µs ± 0.050µs	86.434µs	86.555µs	86.811µs	88.235µs	2.15%	7.265	76.683	0.19%	0.012µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[86.379µs; 86.424µs] or [-0.026%; +0.026%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1094da4`	1773077019	gyuheon0h/subprocess-thread-count

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	4.964µs	5.069µs ± 0.053µs	5.052µs ± 0.036µs	5.099µs	5.157µs	5.167µs	5.174µs	2.41%	0.187	-0.834	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	[5.061µs; 5.076µs] or [-0.144%; +0.144%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1094da4`	1773077019	gyuheon0h/subprocess-thread-count

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	240.354ns	251.278ns ± 15.207ns	244.159ns ± 2.206ns	252.243ns	283.860ns	301.451ns	312.022ns	27.79%	1.908	2.833	6.04%	1.075ns	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	[249.171ns; 253.386ns] or [-0.839%; +0.839%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1094da4`	1773077019	gyuheon0h/subprocess-thread-count

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	161.020µs	161.854µs ± 0.464µs	161.753µs ± 0.176µs	161.987µs	162.633µs	163.223µs	165.269µs	2.17%	3.279	18.403	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	[161.790µs; 161.919µs] or [-0.040%; +0.040%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1094da4`	1773077019	gyuheon0h/subprocess-thread-count

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	execution_time	534.007µs	534.940µs ± 0.985µs	534.750µs ± 0.309µs	535.113µs	536.258µs	537.440µs	545.237µs	1.96%	6.373	59.312	0.18%	0.070µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1834065.611op/s	1869374.966op/s ± 3402.393op/s	1870031.286op/s ± 1081.290op/s	1870995.262op/s	1872026.506op/s	1872458.069op/s	1872635.866op/s	0.14%	-6.261	57.617	0.18%	240.586op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	380.607µs	381.640µs ± 0.320µs	381.631µs ± 0.209µs	381.837µs	382.201µs	382.401µs	382.797µs	0.31%	0.223	0.834	0.08%	0.023µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2612348.595op/s	2620271.879op/s ± 2197.632op/s	2620334.445op/s ± 1435.173op/s	2621774.067op/s	2623525.684op/s	2625021.213op/s	2627384.151op/s	0.27%	-0.216	0.832	0.08%	155.396op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	189.839µs	190.182µs ± 0.171µs	190.181µs ± 0.117µs	190.288µs	190.458µs	190.607µs	190.742µs	0.30%	0.307	-0.031	0.09%	0.012µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5242678.901op/s	5258131.766op/s ± 4714.471op/s	5258146.689op/s ± 3236.820op/s	5261601.426op/s	5265980.951op/s	5267101.312op/s	5267623.645op/s	0.18%	-0.302	-0.038	0.09%	333.363op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.500µs	37.616µs ± 0.053µs	37.613µs ± 0.036µs	37.648µs	37.706µs	37.742µs	37.759µs	0.39%	0.242	-0.345	0.14%	0.004µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26483447.451op/s	26584377.203op/s ± 37792.153op/s	26586579.870op/s ± 25570.453op/s	26614286.167op/s	26645137.630op/s	26654279.747op/s	26666586.244op/s	0.30%	-0.235	-0.351	0.14%	2672.309op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.775µs	45.932µs ± 0.184µs	45.914µs ± 0.049µs	45.961µs	46.041µs	46.151µs	48.001µs	4.55%	8.564	86.870	0.40%	0.013µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	20832696.163op/s	21771584.234op/s ± 84523.232op/s	21779783.682op/s ± 23014.534op/s	21803168.419op/s	21826993.236op/s	21843722.157op/s	21845869.028op/s	0.30%	-8.379	83.927	0.39%	5976.695op/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	[534.803µs; 535.076µs] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1868903.427op/s; 1869846.505op/s] or [-0.025%; +0.025%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[381.596µs; 381.684µs] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2619967.308op/s; 2620576.450op/s] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[190.158µs; 190.205µs] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5257478.386op/s; 5258785.146op/s] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.609µs; 37.624µs] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26579139.574op/s; 26589614.832op/s] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.907µs; 45.958µs] or [-0.056%; +0.056%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21759870.127op/s; 21783298.341op/s] or [-0.054%; +0.054%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1094da4`	1773077019	gyuheon0h/subprocess-thread-count

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	48.135ms	48.455ms ± 0.855ms	48.372ms ± 0.081ms	48.441ms	48.590ms	51.479ms	59.198ms	22.38%	10.639	125.392	1.76%	0.060ms	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	[48.337ms; 48.574ms] or [-0.245%; +0.245%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1094da4`	1773077019	gyuheon0h/subprocess-thread-count

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	18.157µs	26.051µs ± 9.054µs	18.818µs ± 0.553µs	33.958µs	42.797µs	43.522µs	58.915µs	213.08%	0.740	-0.420	34.67%	0.640µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.796µs; 27.306µs] or [-4.817%; +4.817%]	None	None	None

Baseline

Omitted due to size.

github-actions · 2026-03-09T15:02:24Z

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

Base Branch: origin/main
PR Branch: origin/gyuheon0h/subprocess-thread-count

Summary by Rule

Rule	Base Branch	PR Branch	Change

Annotation Counts by File

File	Base Branch	PR Branch	Change

Annotation Stats by Crate

Crate	Base Branch	PR Branch	Change
`clippy-annotation-reporter`	5	5	No change (0%)
`datadog-ffe-ffi`	1	1	No change (0%)
`datadog-ipc`	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.

dd-octo-sts · 2026-03-09T15:26:24Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	100.28 MB	100.28 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.63 MB	8.63 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	116.94 MB	116.94 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.21 MB	11.21 MB	0% (0 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.16 MB	27.16 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	76.26 KB	76.26 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	186.05 MB	186.01 MB	--.01% (-32.00 KB) 💪
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	917.14 MB	917.14 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.93 MB	9.93 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	76.26 KB	76.26 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	24.77 MB	24.77 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	51.43 MB	51.43 MB	0% (0 B) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	22.97 MB	22.97 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	77.44 KB	77.44 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	190.26 MB	190.23 MB	--.01% (-32.00 KB) 💪
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	900.80 MB	900.80 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	7.53 MB	7.53 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	77.44 KB	77.44 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	26.51 MB	26.51 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	47.05 MB	47.05 MB	0% (0 B) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	87.50 MB	87.50 MB	0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	10.21 MB	10.21 MB	0% (0 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	109.81 MB	109.81 MB	0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.95 MB	11.95 MB	0% (0 B) 👌

yannham · 2026-03-09T16:01:28Z

Just in case, #1675 might be an alternative solution I think

gyuheon0h · 2026-03-09T16:28:04Z

Just in case, #1675 might be an alternative solution I think
@yannham

Hmm not sure that will fix the issue; I think the issue is because the the logic of the test counts threads that aren't from the test itself. Maybe this will fix?

gyuheon0h · 2026-03-09T17:59:37Z

/merge

gh-worker-devflow-routing-ef8351 · 2026-03-09T17:59:41Z

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2026-03-09 18:39:45 UTC ℹ️ MergeQueue: This merge request was merged

yannham · 2026-03-10T15:34:20Z

@gyuheon0h the move to cargo nextest instead of cargo test would ensure that there's exactly and only one test per process, so it looks it would fix this test without having to change it (there wouldn't be any other parasite threads, only the ones started by the test?). Also, we use the #[serial] annotation elsewhere to ensure tests are run sequentially (it's a bit more annoying since I think you'd have to slap it on each test of the module). This works as well 🙂 I just wanted to mention possible alternatives to pulling a new dep

gyuheon0h · 2026-03-11T01:14:58Z

@gyuheon0h the move to cargo nextest instead of cargo test would ensure that there's exactly and only one test per process, so it looks it would fix this test without having to change it (there wouldn't be any other parasite threads, only the ones started by the test?). Also, we use the #[serial] annotation elsewhere to ensure tests are run sequentially (it's a bit more annoying since I think you'd have to slap it on each test of the module). This works as well 🙂 I just wanted to mention possible alternatives to pulling a new dep

Ah, thanks for the info. I wasn't sure exactly how the cross compl chaneg would impact this. I guess this is only dev dependency so it seems fine, but we can remove this in one of the periodic clean ups. Thanks!

# What does this PR do? Bump to 29.0.0 [feat(profiling)!: add Tracepoint sample type](#1676) [feat(obfuscation/redis): Reach feature parity on redis obfuscation [APMSP-2668]](#1632) [fix(sidecar): Handle backpressure more gracefully](#1682) [feat(trace-protobuf)!: Add two fields to ClientGroupedStats [SVLS-8627]](#1630) [chore: exclude libdatadog from ADMS auto generated PRs for dependency updates](#1688) [chore(ci): run crashtracking ffi example tests in CI](#1687) [fix(crashtracking): use libunwind to unwind frames](#1663) [feat: publish tracer metadata as OTel process ctx](#1658) [ci: run thread count test in own process](#1693) [feat(obfuscation/json): Init json obfuscation [APMSP-2665]](#1635) [chore(ci): add final_status property on junit XML [APMSP-2610]](#1681) [refactor(data-pipeline-ffi): move macro definitions for better reuse](#1699) [fix(obfuscation/memcached): fuzzing fix](#1695) [ci: replace use of cargo cross for centos7 tests](#1675) #1702 (comment) [feat(stats_exporter)!: add process tags to CSS payloads](#1709) # Motivation I mainly am creating this to use the new unwinding from ucontext for crashtracking # Additional Notes Anything else we should know when reviewing? # How to test the change? Describe here in detail how the change can be validated. [APMSP-2668]: https://datadoghq.atlassian.net/browse/APMSP-2668?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ [SVLS-8627]: https://datadoghq.atlassian.net/browse/SVLS-8627?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ [APMSP-2665]: https://datadoghq.atlassian.net/browse/APMSP-2665?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ Co-authored-by: gyuheon.oh <[email protected]>

# Release proposal for libdd-trace-stats and its dependencies This PR contains version bumps based on public API changes and commits since last release. ## libdd-common **Next version:** `2.0.1` **Semver bump:** `patch` **Tag:** `libdd-common-v2.0.1` ### Commits - ci: run thread count test in own process (#1693) - chore: update bytes to 1.11.1 to address RUSTSEC-2026-0007 (#1628) - chore(ci): run thread count test as single threaded (#1626) ## libdd-trace-utils **Next version:** `2.0.1` **Semver bump:** `patch` **Tag:** `libdd-trace-utils-v2.0.1` ### Commits - feat(trace-protobuf)!: Add two fields to ClientGroupedStats [SVLS-8627] (#1630) - chore: update bytes to 1.11.1 to address RUSTSEC-2026-0007 (#1628) ## libdd-trace-stats **Next version:** `1.0.2` **Semver bump:** `patch` **Tag:** `libdd-trace-stats-v1.0.2` ### Commits - feat(trace-stats): add grpc status code in the stats bucket key (#1701) - feat(trace-protobuf)!: Add two fields to ClientGroupedStats [SVLS-8627] (#1630) [SVLS-8627]: https://datadoghq.atlassian.net/browse/SVLS-8627?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ [SVLS-8627]: https://datadoghq.atlassian.net/browse/SVLS-8627?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ --------- Co-authored-by: dd-octo-sts[bot] <200755185+dd-octo-sts[bot]@users.noreply.github.com>

subprocess thread count

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gyuheon0h changed the title ~~subprocess thread count~~ ci: run thread count test in own process Mar 9, 2026

gyuheon0h marked this pull request as ready for review March 9, 2026 14:46

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chore(cargo): bump to 29.0.0 #1702

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chore(release): proposal for libdd-trace-stats #1732

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