[profiling] Rust driver for python profiler

[danielsn]

What does this PR do?

POC for a channel based driver for the Python profiler

Motivation

Currently Python profiler uses lock based concurrency, which makes handling forks difficult.
It also can cost performance, as all operations require the lock.
Moving to a channel based system allows everything to live on one place one one thread, allowing us to do clean shutdown.
And it allows the stuff on that thread to happen with no synchronization, e.g. making it easier to use the new interning API in Echion

Additional Notes

This is designed to be a thin wrapper of what we already have in python, hence the use of void* and callbacks.
In the future, some of this should move into pure rust.

How to test the change?

Describe here in detail how the change can be validated.

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2025-07-08 20:01:37

Comparing candidate commit 05e60f6 in PR branch dsn/profile-manager with baseline commit 2a14f03 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 52 metrics, 2 unstable metrics.

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	05e60f6	1752004114	dsn/profile-manager

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	2.340µs	2.401µs ± 0.019µs	2.398µs ± 0.005µs	2.406µs	2.436µs	2.445µs	2.452µs	2.25%	-0.141	1.710	0.79%	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	[2.398µs; 2.403µs] or [-0.110%; +0.110%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	05e60f6	1752004114	dsn/profile-manager

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	18.138µs	26.652µs ± 10.527µs	18.432µs ± 0.161µs	35.230µs	45.272µs	49.431µs	76.720µs	316.23%	1.215	2.151	39.40%	0.744µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[25.193µs; 28.111µs] or [-5.474%; +5.474%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	05e60f6	1752004114	dsn/profile-manager

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	3.894µs	3.913µs ± 0.008µs	3.912µs ± 0.002µs	3.914µs	3.916µs	3.921µs	3.987µs	1.91%	8.232	75.875	0.19%	0.001µs	1	200
credit_card/is_card_number/	throughput	250813697.136op/s	255561408.838op/s ± 487536.116op/s	255612358.870op/s ± 98517.367op/s	255705491.301op/s	255844606.648op/s	255889740.627op/s	256827145.785op/s	0.48%	-8.173	75.210	0.19%	34474.009op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	80.225µs	81.352µs ± 0.578µs	81.329µs ± 0.388µs	81.675µs	82.353µs	82.955µs	83.328µs	2.46%	0.524	0.419	0.71%	0.041µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12000771.562op/s	12292942.324op/s ± 87091.576op/s	12295812.663op/s ± 58870.020op/s	12356775.382op/s	12424593.912op/s	12457799.073op/s	12464904.453op/s	1.38%	-0.479	0.325	0.71%	6158.304op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	75.188µs	75.719µs ± 0.160µs	75.717µs ± 0.083µs	75.784µs	75.985µs	76.229µs	76.509µs	1.05%	0.835	3.744	0.21%	0.011µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13070357.736op/s	13206740.152op/s ± 27912.669op/s	13207090.758op/s ± 14456.409op/s	13223370.568op/s	13245597.804op/s	13272625.864op/s	13299906.901op/s	0.70%	-0.803	3.655	0.21%	1973.724op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.895µs	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.913µs	3.915µs	3.917µs	3.921µs	0.23%	-1.006	7.756	0.07%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	255066465.912op/s	255642053.594op/s ± 168076.517op/s	255642582.676op/s ± 106106.428op/s	255749154.988op/s	255880897.560op/s	255956540.130op/s	256723969.224op/s	0.42%	1.024	7.862	0.07%	11884.804op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	72.572µs	72.862µs ± 0.107µs	72.853µs ± 0.057µs	72.913µs	73.066µs	73.167µs	73.269µs	0.57%	0.527	1.219	0.15%	0.008µs	1	200
credit_card/is_card_number/378282246310005	throughput	13648282.957op/s	13724527.656op/s ± 20086.102op/s	13726219.513op/s ± 10762.491op/s	13735477.594op/s	13755586.033op/s	13771387.620op/s	13779416.308op/s	0.39%	-0.514	1.201	0.15%	1420.302op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.628µs	52.841µs ± 0.070µs	52.843µs ± 0.045µs	52.890µs	52.949µs	52.994µs	53.028µs	0.35%	-0.158	0.051	0.13%	0.005µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	18858062.904op/s	18924567.376op/s ± 24961.297op/s	18924150.114op/s ± 15938.138op/s	18938667.127op/s	18964900.143op/s	18984112.565op/s	19001369.999op/s	0.41%	0.166	0.056	0.13%	1765.030op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.426µs	6.437µs ± 0.005µs	6.436µs ± 0.003µs	6.440µs	6.445µs	6.448µs	6.454µs	0.28%	0.400	-0.072	0.08%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	154934839.132op/s	155356475.639op/s ± 119189.222op/s	155367831.103op/s ± 82972.787op/s	155447772.991op/s	155537507.601op/s	155562179.798op/s	155616493.666op/s	0.16%	-0.396	-0.079	0.08%	8427.951op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.894µs	3.913µs ± 0.003µs	3.913µs ± 0.002µs	3.915µs	3.918µs	3.920µs	3.921µs	0.21%	-0.775	5.493	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255026623.642op/s	255562551.176op/s ± 200989.188op/s	255566980.750op/s ± 119597.782op/s	255681760.636op/s	255834113.798op/s	255898253.778op/s	256776653.336op/s	0.47%	0.792	5.590	0.08%	14212.082op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.957µs	65.103µs ± 0.093µs	65.075µs ± 0.051µs	65.161µs	65.276µs	65.359µs	65.492µs	0.64%	1.140	1.271	0.14%	0.007µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15268937.548op/s	15360279.001op/s ± 21934.102op/s	15366961.801op/s ± 12119.574op/s	15375297.662op/s	15385380.427op/s	15391206.050op/s	15394784.247op/s	0.18%	-1.132	1.239	0.14%	1550.975op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	58.178µs	58.293µs ± 0.084µs	58.269µs ± 0.043µs	58.330µs	58.489µs	58.546µs	58.564µs	0.51%	1.339	1.424	0.14%	0.006µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	17075261.798op/s	17154683.262op/s ± 24677.738op/s	17161745.612op/s ± 12583.060op/s	17172525.677op/s	17183424.096op/s	17187207.785op/s	17188746.528op/s	0.16%	-1.332	1.402	0.14%	1744.980op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.894µs	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.914µs	3.917µs	3.919µs	3.920µs	0.22%	-0.647	5.142	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255077050.826op/s	255628251.280op/s ± 193411.880op/s	255644793.508op/s ± 137212.109op/s	255766109.145op/s	255875248.960op/s	255957217.370op/s	256778340.642op/s	0.44%	0.662	5.228	0.08%	13676.285op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	55.035µs	55.371µs ± 0.178µs	55.344µs ± 0.093µs	55.451µs	55.683µs	56.011µs	56.192µs	1.53%	1.421	3.478	0.32%	0.013µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17796258.794op/s	18060165.430op/s ± 57941.611op/s	18068748.293op/s ± 30291.509op/s	18097278.632op/s	18132309.793op/s	18161995.026op/s	18170222.459op/s	0.56%	-1.388	3.341	0.32%	4097.091op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	52.688µs	52.871µs ± 0.070µs	52.868µs ± 0.050µs	52.922µs	52.984µs	53.014µs	53.049µs	0.34%	0.052	-0.535	0.13%	0.005µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	18850535.985op/s	18913897.287op/s ± 25070.745op/s	18914899.977op/s ± 17812.219op/s	18931315.300op/s	18955054.064op/s	18963327.625op/s	18979691.730op/s	0.34%	-0.046	-0.534	0.13%	1772.769op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.428µs	6.436µs ± 0.005µs	6.436µs ± 0.003µs	6.439µs	6.444µs	6.449µs	6.451µs	0.23%	0.637	0.229	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	155023726.411op/s	155368742.405op/s ± 109794.308op/s	155385525.838op/s ± 74632.562op/s	155455233.244op/s	155519944.762op/s	155559997.677op/s	155580566.806op/s	0.13%	-0.633	0.222	0.07%	7763.630op/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; 3.914µs] or [-0.027%; +0.027%]	None	None	None
credit_card/is_card_number/	throughput	[255493841.021op/s; 255628976.654op/s] or [-0.026%; +0.026%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[81.271µs; 81.432µs] or [-0.099%; +0.099%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12280872.270op/s; 12305012.379op/s] or [-0.098%; +0.098%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[75.697µs; 75.741µs] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13202871.724op/s; 13210608.579op/s] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.911µs; 3.912µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255618759.805op/s; 255665347.382op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[72.848µs; 72.877µs] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[13721743.916op/s; 13727311.397op/s] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.832µs; 52.851µs] or [-0.018%; +0.018%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[18921107.980op/s; 18928026.771op/s] or [-0.018%; +0.018%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.436µs; 6.437µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[155339957.159op/s; 155372994.119op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.913µs; 3.913µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255534696.007op/s; 255590406.344op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[65.090µs; 65.116µs] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15357239.146op/s; 15363318.857op/s] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[58.282µs; 58.305µs] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17151263.165op/s; 17158103.359op/s] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.912µs; 3.912µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255601446.253op/s; 255655056.306op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[55.346µs; 55.396µs] or [-0.045%; +0.045%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18052135.280op/s; 18068195.580op/s] or [-0.044%; +0.044%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.862µs; 52.881µs] or [-0.018%; +0.018%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[18910422.723op/s; 18917371.851op/s] or [-0.018%; +0.018%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.436µs; 6.437µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[155353525.970op/s; 155383958.840op/s] or [-0.010%; +0.010%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	05e60f6	1752004114	dsn/profile-manager

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	33.915µs	34.351µs ± 0.755µs	34.010µs ± 0.048µs	34.066µs	35.950µs	35.993µs	37.475µs	10.19%	1.801	1.714	2.19%	0.053µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[34.247µs; 34.456µs] or [-0.304%; +0.304%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	05e60f6	1752004114	dsn/profile-manager

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	5.000µs	5.103µs ± 0.041µs	5.115µs ± 0.033µs	5.136µs	5.151µs	5.155µs	5.156µs	0.79%	-0.436	-1.164	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	[5.097µs; 5.108µs] or [-0.111%; +0.111%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	05e60f6	1752004114	dsn/profile-manager

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	204.586µs	205.101µs ± 0.439µs	204.993µs ± 0.164µs	205.187µs	205.763µs	207.119µs	207.774µs	1.36%	3.204	13.974	0.21%	0.031µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4812924.863op/s	4875662.289op/s ± 10372.144op/s	4878204.420op/s ± 3892.731op/s	4881300.460op/s	4884745.519op/s	4887776.119op/s	4887915.474op/s	0.20%	-3.167	13.692	0.21%	733.421op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.190µs	18.296µs ± 0.090µs	18.284µs ± 0.044µs	18.323µs	18.504µs	18.548µs	18.755µs	2.58%	1.797	4.611	0.49%	0.006µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	53320500.567op/s	54657592.351op/s ± 267008.420op/s	54693658.064op/s ± 132634.137op/s	54846924.137op/s	54959608.152op/s	54972884.556op/s	54975134.146op/s	0.51%	-1.748	4.351	0.49%	18880.346op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.682µs	10.843µs ± 0.062µs	10.843µs ± 0.042µs	10.886µs	10.938µs	10.998µs	11.034µs	1.77%	0.240	0.168	0.57%	0.004µs	1	200
normalization/normalize_name/normalize_name/good	throughput	90627209.471op/s	92231110.705op/s ± 523899.875op/s	92227281.862op/s ± 361809.530op/s	92588551.506op/s	93076090.914op/s	93303952.403op/s	93613889.157op/s	1.50%	-0.204	0.129	0.57%	37045.315op/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	[205.040µs; 205.162µs] or [-0.030%; +0.030%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4874224.810op/s; 4877099.769op/s] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.284µs; 18.309µs] or [-0.068%; +0.068%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[54620587.552op/s; 54694597.150op/s] or [-0.068%; +0.068%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.834µs; 10.851µs] or [-0.079%; +0.079%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[92158503.221op/s; 92303718.189op/s] or [-0.079%; +0.079%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	05e60f6	1752004114	dsn/profile-manager

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	71.491ms	71.665ms ± 0.681ms	71.599ms ± 0.037ms	71.645ms	71.787ms	72.005ms	81.162ms	13.36%	13.639	187.486	0.95%	0.048ms	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	[71.571ms; 71.760ms] or [-0.132%; +0.132%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	05e60f6	1752004114	dsn/profile-manager

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	535.459µs	536.579µs ± 1.030µs	536.501µs ± 0.369µs	536.869µs	537.322µs	537.871µs	548.532µs	2.24%	8.223	90.473	0.19%	0.073µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1823046.916op/s	1863663.637op/s ± 3521.300op/s	1863930.549op/s ± 1280.296op/s	1865239.261op/s	1866592.657op/s	1867334.276op/s	1867557.645op/s	0.19%	-8.081	88.220	0.19%	248.993op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	388.586µs	389.630µs ± 0.416µs	389.640µs ± 0.247µs	389.874µs	390.283µs	390.738µs	391.011µs	0.35%	0.239	0.580	0.11%	0.029µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2557472.510op/s	2566540.691op/s ± 2738.237op/s	2566472.962op/s ± 1623.214op/s	2568229.317op/s	2571017.357op/s	2572272.886op/s	2573432.005op/s	0.27%	-0.231	0.570	0.11%	193.623op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	195.375µs	195.857µs ± 0.556µs	195.780µs ± 0.114µs	195.927µs	196.149µs	196.465µs	201.071µs	2.70%	8.141	73.288	0.28%	0.039µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	4973366.315op/s	5105795.198op/s ± 14180.556op/s	5107783.301op/s ± 2984.500op/s	5110001.352op/s	5115393.243op/s	5116927.841op/s	5118352.472op/s	0.21%	-8.064	72.340	0.28%	1002.717op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	38.091µs	38.177µs ± 0.044µs	38.175µs ± 0.030µs	38.205µs	38.253µs	38.302µs	38.330µs	0.40%	0.516	0.440	0.11%	0.003µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26089476.344op/s	26193857.970op/s ± 30026.527op/s	26194972.140op/s ± 20707.848op/s	26215662.602op/s	26238848.080op/s	26246163.963op/s	26252904.228op/s	0.22%	-0.509	0.424	0.11%	2123.196op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.939µs	46.055µs ± 0.054µs	46.053µs ± 0.036µs	46.087µs	46.161µs	46.190µs	46.232µs	0.39%	0.489	0.190	0.12%	0.004µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21629811.071op/s	21713007.231op/s ± 25309.194op/s	21714056.997op/s ± 16882.295op/s	21731587.369op/s	21751138.219op/s	21763207.378op/s	21768065.136op/s	0.25%	-0.482	0.180	0.12%	1789.630op/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	[536.437µs; 536.722µs] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1863175.618op/s; 1864151.655op/s] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[389.572µs; 389.688µs] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2566161.198op/s; 2566920.185op/s] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[195.780µs; 195.935µs] or [-0.039%; +0.039%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5103829.910op/s; 5107760.487op/s] or [-0.038%; +0.038%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[38.171µs; 38.183µs] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26189696.583op/s; 26198019.358op/s] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.048µs; 46.063µs] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21709499.620op/s; 21716514.842op/s] or [-0.016%; +0.016%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	05e60f6	1752004114	dsn/profile-manager

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	1.277µs	3.208µs ± 1.404µs	3.000µs ± 0.030µs	3.021µs	3.700µs	13.703µs	14.813µs	393.80%	7.328	55.031	43.66%	0.099µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.013µs; 3.402µs] or [-6.066%; +6.066%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	05e60f6	1752004114	dsn/profile-manager

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	87.418µs	87.683µs ± 0.133µs	87.664µs ± 0.056µs	87.731µs	87.846µs	88.041µs	88.989µs	1.51%	5.049	45.239	0.15%	0.009µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[87.664µs; 87.701µs] or [-0.021%; +0.021%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	05e60f6	1752004114	dsn/profile-manager

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	8.273ms	8.290ms ± 0.011ms	8.289ms ± 0.006ms	8.295ms	8.308ms	8.338ms	8.345ms	0.68%	1.978	6.841	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	[8.289ms; 8.292ms] or [-0.018%; +0.018%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	05e60f6	1752004114	dsn/profile-manager

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	244.174ns	254.492ns ± 13.435ns	248.585ns ± 2.741ns	254.817ns	283.052ns	303.476ns	306.536ns	23.31%	2.010	3.385	5.27%	0.950ns	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	[252.630ns; 256.354ns] or [-0.732%; +0.732%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	05e60f6	1752004114	dsn/profile-manager

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	151.274µs	152.248µs ± 0.294µs	152.218µs ± 0.156µs	152.359µs	152.786µs	153.149µs	153.278µs	0.70%	0.842	1.756	0.19%	0.021µs	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	[152.208µs; 152.289µs] or [-0.027%; +0.027%]	None	None	None

Baseline

Omitted due to size.

[codecov-commenter]

Codecov Report

Attention: Patch coverage is 78.33333% with 130 lines in your changes missing coverage. Please review.

Project coverage is 71.31%. Comparing base (2a14f03) to head (05e60f6).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1084      +/-   ##
==========================================
+ Coverage   71.23%   71.31%   +0.08%     
==========================================
  Files         343      349       +6     
  Lines       52393    52981     +588     
==========================================
+ Hits        37321    37786     +465     
- Misses      15072    15195     +123     

Components	Coverage Δ
datadog-crashtracker	43.91% <ø> (ø)
datadog-crashtracker-ffi	5.93% <ø> (ø)
datadog-alloc	98.73% <ø> (ø)
data-pipeline	89.21% <ø> (ø)
data-pipeline-ffi	87.55% <ø> (ø)
ddcommon	82.88% <ø> (ø)
ddcommon-ffi	69.66% <ø> (ø)
ddtelemetry	60.08% <ø> (ø)
ddtelemetry-ffi	21.32% <ø> (ø)
dogstatsd-client	83.26% <ø> (ø)
datadog-ipc	82.58% <ø> (ø)
datadog-profiling	77.19% <78.33%> (+0.05%)	⬆️
datadog-profiling-ffi	66.66% <78.33%> (+4.54%)	⬆️
datadog-sidecar	40.28% <ø> (ø)
datdog-sidecar-ffi	5.17% <ø> (ø)
spawn-worker	55.35% <ø> (ø)
tinybytes	90.96% <ø> (ø)
datadog-trace-normalization	98.24% <ø> (ø)
datadog-trace-obfuscation	94.17% <ø> (ø)
datadog-trace-protobuf	77.10% <ø> (ø)
datadog-trace-utils	89.08% <ø> (ø)
datadog-tracer-flare	78.54% <ø> (ø)
datadog-log	76.31% <ø> (ø)

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[r1viollet]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.26 MB	8.33 MB	+.76% (+64.92 KB) 🔍
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	68.04 MB	68.05 MB	+0% (+1.20 KB) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so.debug	21.15 MB	21.15 MB	+.01% (+3.03 KB) 🔍

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	74.96 MB	74.96 MB	+0% (+2.47 KB) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	8.30 MB	8.30 MB	+.01% (+968 B) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug	23.69 MB	23.69 MB	+.01% (+3.59 KB) 🔍

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	16.70 MB	16.70 MB	+0% (+1.00 KB) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	62.62 KB	62.90 KB	+.45% (+290 B) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	112.65 MB	112.67 MB	+.02% (+24.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	632.41 MB	632.86 MB	+.07% (+457.57 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	4.98 MB	4.98 MB	-0% (-512 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	62.62 KB	62.90 KB	+.45% (+290 B) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	15.85 MB	15.86 MB	+.04% (+8.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	26.38 MB	26.39 MB	+.02% (+8.03 KB) 🔍

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	14.15 MB	14.15 MB	+.01% (+2.00 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	63.58 KB	63.87 KB	+.45% (+294 B) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	114.55 MB	114.55 MB	+0% (+8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	624.68 MB	625.12 MB	+.07% (+458.90 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	3.77 MB	3.78 MB	+.02% (+1.00 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	63.58 KB	63.87 KB	+.45% (+294 B) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	16.48 MB	16.48 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	24.30 MB	24.31 MB	+.03% (+9.00 KB) 🔍

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	59.31 MB	59.31 MB	-0% (-1.16 KB) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	8.69 MB	8.69 MB	+0% (+672 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so.debug	19.47 MB	19.47 MB	+.01% (+2.55 KB) 🔍

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	70.65 MB	70.65 MB	-0% (-948 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	8.70 MB	8.70 MB	+0% (+672 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug	21.77 MB	21.78 MB	+.01% (+2.71 KB) 🔍

[github-actions]

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