What does this PR do?

This PR creates a normalizer which caches VMA (Virtual Memory Addresses) to speed up normalization.

Motivation

This PR addresses the issue reported in https://datadoghq.atlassian.net/browse/PROF-11744. Crashtracker does not produce crash reports since https://github.com/DataDog/libdatadog/pull/991/files (at least for Ruby)

Additional Notes

Added also build_id caching. build ids are important thingy for remote symbolication (in datadog backend)

How to test the change?

Describe here in detail how the change can be validated.

May 02 '25 07:05 gleocadie

Benchmarks

Comparison

Benchmark execution time: 2025-05-02 07:49:37

Comparing candidate commit 02d3083e in PR branch gleocadie/fix-normalization-regression with baseline commit fed767f7 in branch main.

Found 0 performance improvements and 2 performance regressions! Performance is the same for 50 metrics, 2 unstable metrics.

scenario:credit_card/is_card_number/378282246310005

🟥 execution_time [+9.551µs; +9.690µs] or [+14.063%; +14.268%]
🟥 throughput [-1840920.797op/s; -1813520.845op/s] or [-12.502%; -12.316%]

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	02d3083e	1746171480	gleocadie/fix-normalization-regression

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	4.972µs	5.040µs ± 0.034µs	5.042µs ± 0.027µs	5.062µs	5.093µs	5.096µs	5.100µs	1.14%	-0.116	-1.062	0.67%	0.002µs	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	[5.035µs; 5.045µs] or [-0.093%; +0.093%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	02d3083e	1746171480	gleocadie/fix-normalization-regression

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	72.345ms	72.605ms ± 0.223ms	72.537ms ± 0.081ms	72.680ms	72.982ms	73.451ms	74.252ms	2.36%	3.058	15.509	0.31%	0.016ms	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	[72.574ms; 72.636ms] or [-0.043%; +0.043%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	02d3083e	1746171480	gleocadie/fix-normalization-regression

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	1.235µs	3.223µs ± 1.458µs	3.018µs ± 0.036µs	3.054µs	3.677µs	14.090µs	15.134µs	401.51%	7.401	55.733	45.13%	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	[3.021µs; 3.425µs] or [-6.270%; +6.270%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	02d3083e	1746171480	gleocadie/fix-normalization-regression

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	5.987ms	5.999ms ± 0.008ms	5.998ms ± 0.004ms	6.002ms	6.009ms	6.030ms	6.069ms	1.18%	4.157	27.615	0.14%	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	[5.998ms; 6.000ms] or [-0.020%; +0.020%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	02d3083e	1746171480	gleocadie/fix-normalization-regression

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	248.059ns	260.410ns ± 13.468ns	253.841ns ± 3.699ns	266.637ns	288.497ns	301.908ns	305.053ns	20.18%	1.473	1.334	5.16%	0.952ns	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	[258.544ns; 262.277ns] or [-0.717%; +0.717%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	02d3083e	1746171480	gleocadie/fix-normalization-regression

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	218.381µs	218.931µs ± 0.282µs	218.943µs ± 0.208µs	219.110µs	219.382µs	219.600µs	219.738µs	0.36%	0.269	-0.423	0.13%	0.020µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4550875.406op/s	4567653.498op/s ± 5887.977op/s	4567400.013op/s ± 4352.202op/s	4572223.880op/s	4576587.136op/s	4577903.387op/s	4579145.759op/s	0.26%	-0.264	-0.430	0.13%	416.343op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.529µs	17.597µs ± 0.031µs	17.595µs ± 0.018µs	17.612µs	17.649µs	17.699µs	17.713µs	0.67%	0.743	1.074	0.18%	0.002µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	56456299.740op/s	56828058.147op/s ± 100749.477op/s	56834816.863op/s ± 58814.757op/s	56893475.216op/s	56973887.504op/s	56993007.309op/s	57049933.554op/s	0.38%	-0.730	1.040	0.18%	7124.064op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.261µs	10.370µs ± 0.104µs	10.312µs ± 0.028µs	10.489µs	10.552µs	10.566µs	10.572µs	2.52%	0.774	-1.161	1.00%	0.007µs	1	200
normalization/normalize_name/normalize_name/good	throughput	94586066.823op/s	96437173.511op/s ± 960825.647op/s	96971563.292op/s ± 259323.513op/s	97165097.050op/s	97362986.772op/s	97430870.705op/s	97456605.772op/s	0.50%	-0.766	-1.172	0.99%	67940.633op/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	[218.892µs; 218.970µs] 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	[4566837.481op/s; 4568469.515op/s] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.593µs; 17.601µs] or [-0.025%; +0.025%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[56814095.238op/s; 56842021.055op/s] or [-0.025%; +0.025%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.356µs; 10.385µs] or [-0.139%; +0.139%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[96304012.317op/s; 96570334.705op/s] or [-0.138%; +0.138%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	02d3083e	1746171480	gleocadie/fix-normalization-regression

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	2.332µs	2.386µs ± 0.020µs	2.385µs ± 0.009µs	2.392µs	2.431µs	2.438µs	2.447µs	2.59%	0.324	1.706	0.83%	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	[2.383µs; 2.389µs] or [-0.115%; +0.115%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	02d3083e	1746171480	gleocadie/fix-normalization-regression

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	66.570µs	66.784µs ± 0.218µs	66.753µs ± 0.083µs	66.846µs	66.973µs	67.328µs	69.122µs	3.55%	6.930	67.591	0.32%	0.015µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[66.754µs; 66.814µs] or [-0.045%; +0.045%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	02d3083e	1746171480	gleocadie/fix-normalization-regression

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
credit_card/is_card_number/	execution_time	3.895µs	3.911µs ± 0.003µs	3.910µs ± 0.002µs	3.912µs	3.916µs	3.917µs	3.918µs	0.18%	-0.400	2.894	0.08%	0.000µs	1	200
credit_card/is_card_number/	throughput	255256584.258op/s	255721716.514op/s ± 193185.969op/s	255724420.650op/s ± 126263.704op/s	255852878.395op/s	255996944.850op/s	256071058.395op/s	256744769.402op/s	0.40%	0.410	2.943	0.08%	13660.311op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	76.707µs	77.550µs ± 0.494µs	77.475µs ± 0.287µs	77.821µs	78.274µs	78.383µs	81.379µs	5.04%	2.790	17.961	0.64%	0.035µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12288233.959op/s	12895491.932op/s ± 80724.026op/s	12907468.269op/s ± 47695.567op/s	12949797.151op/s	12993859.588op/s	13010148.614op/s	13036639.627op/s	1.00%	-2.569	15.848	0.62%	5708.051op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	70.878µs	71.423µs ± 0.430µs	71.356µs ± 0.197µs	71.569µs	71.994µs	72.345µs	75.870µs	6.33%	5.738	55.248	0.60%	0.030µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13180357.678op/s	14001635.762op/s ± 81675.465op/s	14014140.359op/s ± 38761.080op/s	14044741.319op/s	14079486.963op/s	14098586.284op/s	14108671.189op/s	0.67%	-5.317	49.397	0.58%	5775.328op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.892µs	3.911µs ± 0.003µs	3.910µs ± 0.002µs	3.913µs	3.916µs	3.919µs	3.920µs	0.25%	-0.485	4.628	0.08%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	255097105.436op/s	255711853.388op/s ± 215527.448op/s	255747405.549op/s ± 141784.630op/s	255862865.516op/s	255991307.426op/s	256034135.792op/s	256962730.660op/s	0.48%	0.501	4.714	0.08%	15240.092op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	76.749µs	77.535µs ± 0.326µs	77.511µs ± 0.212µs	77.745µs	78.098µs	78.411µs	78.476µs	1.24%	0.351	-0.068	0.42%	0.023µs	1	200
credit_card/is_card_number/378282246310005	throughput	12742800.984op/s	12897590.356op/s ± 54161.217op/s	12901337.874op/s ± 35303.228op/s	12934005.765op/s	12972308.899op/s	13000821.261op/s	13029479.146op/s	0.99%	-0.328	-0.086	0.42%	3829.776op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	51.730µs	51.792µs ± 0.055µs	51.781µs ± 0.021µs	51.810µs	51.869µs	51.890µs	52.370µs	1.14%	6.016	59.027	0.11%	0.004µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19094920.456op/s	19308112.192op/s ± 20394.645op/s	19312154.802op/s ± 7949.804op/s	19318701.110op/s	19327161.822op/s	19330612.900op/s	19331086.609op/s	0.10%	-5.937	57.899	0.11%	1442.119op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.087µs	6.253µs ± 0.067µs	6.250µs ± 0.050µs	6.304µs	6.355µs	6.391µs	6.412µs	2.60%	-0.095	-0.380	1.07%	0.005µs	1	200
credit_card/is_card_number/x371413321323331	throughput	155954788.951op/s	159950878.932op/s ± 1714393.269op/s	160005329.046op/s ± 1279224.799op/s	161231428.032op/s	163094795.853op/s	163728751.086op/s	164283322.503op/s	2.67%	0.147	-0.352	1.07%	121225.911op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.891µs	3.910µs ± 0.003µs	3.910µs ± 0.002µs	3.912µs	3.915µs	3.917µs	3.918µs	0.21%	-0.897	6.805	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255210345.084op/s	255732598.728op/s ± 196934.726op/s	255750935.623op/s ± 109744.454op/s	255845114.828op/s	256001047.454op/s	256062308.964op/s	256978616.346op/s	0.48%	0.915	6.925	0.08%	13925.388op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	65.906µs	66.236µs ± 0.235µs	66.186µs ± 0.105µs	66.296µs	66.732µs	67.079µs	67.544µs	2.05%	2.253	6.728	0.35%	0.017µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	14805110.685op/s	15097770.974op/s ± 53084.575op/s	15108935.425op/s ± 23976.776op/s	15131242.499op/s	15147987.794op/s	15160500.092op/s	15173072.349op/s	0.42%	-2.215	6.481	0.35%	3753.646op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	59.468µs	59.619µs ± 0.057µs	59.614µs ± 0.032µs	59.648µs	59.731µs	59.759µs	59.774µs	0.27%	0.355	0.318	0.09%	0.004µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	16729793.422op/s	16773169.923op/s ± 15945.853op/s	16774561.378op/s ± 8994.933op/s	16782401.974op/s	16797314.364op/s	16808553.234op/s	16815709.236op/s	0.25%	-0.349	0.315	0.09%	1127.542op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.892µs	3.910µs ± 0.003µs	3.910µs ± 0.002µs	3.911µs	3.915µs	3.917µs	3.918µs	0.23%	-0.371	5.112	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255205778.864op/s	255755731.738op/s ± 198193.557op/s	255781238.452op/s ± 111729.860op/s	255883008.448op/s	255992487.164op/s	256071762.053op/s	256919681.665op/s	0.45%	0.387	5.199	0.08%	14014.401op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	56.181µs	56.345µs ± 0.145µs	56.312µs ± 0.058µs	56.380µs	56.667µs	56.947µs	57.000µs	1.22%	2.348	6.497	0.26%	0.010µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17543925.357op/s	17747963.348op/s ± 45486.458op/s	17758164.437op/s ± 18158.895op/s	17775323.852op/s	17793370.813op/s	17796703.037op/s	17799565.691op/s	0.23%	-2.326	6.377	0.26%	3216.378op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	51.730µs	51.799µs ± 0.033µs	51.797µs ± 0.023µs	51.820µs	51.854µs	51.882µs	51.920µs	0.24%	0.495	0.299	0.06%	0.002µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19260540.207op/s	19305482.101op/s ± 12348.012op/s	19306038.477op/s ± 8719.701op/s	19314799.522op/s	19323617.413op/s	19327821.722op/s	19331321.614op/s	0.13%	-0.491	0.291	0.06%	873.136op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.062µs	6.252µs ± 0.069µs	6.250µs ± 0.050µs	6.302µs	6.368µs	6.402µs	6.438µs	3.00%	0.084	-0.162	1.10%	0.005µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	155328241.650op/s	159975798.060op/s ± 1763894.631op/s	159992700.809op/s ± 1290661.183op/s	161266591.249op/s	162874820.639op/s	163768756.270op/s	164972571.756op/s	3.11%	-0.024	-0.158	1.10%	124726.185op/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	[3.910µs; 3.911µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/	throughput	[255694942.796op/s; 255748490.231op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[77.481µs; 77.618µs] or [-0.088%; +0.088%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12884304.359op/s; 12906679.506op/s] or [-0.087%; +0.087%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[71.363µs; 71.482µs] or [-0.084%; +0.084%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13990316.328op/s; 14012955.196op/s] or [-0.081%; +0.081%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.910µs; 3.911µs] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255681983.356op/s; 255741723.419op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[77.490µs; 77.580µs] or [-0.058%; +0.058%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[12890084.132op/s; 12905096.580op/s] or [-0.058%; +0.058%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[51.784µs; 51.799µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19305285.690op/s; 19310938.693op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.243µs; 6.262µs] or [-0.148%; +0.148%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[159713280.513op/s; 160188477.351op/s] or [-0.149%; +0.149%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.910µs; 3.911µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255705305.469op/s; 255759891.987op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[66.203µs; 66.268µs] or [-0.049%; +0.049%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15090413.962op/s; 15105127.985op/s] or [-0.049%; +0.049%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[59.611µs; 59.627µs] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[16770959.981op/s; 16775379.864op/s] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.910µs; 3.910µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255728264.017op/s; 255783199.459op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[56.325µs; 56.365µs] or [-0.036%; +0.036%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[17741659.362op/s; 17754267.334op/s] or [-0.036%; +0.036%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[51.794µs; 51.803µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19303770.785op/s; 19307193.416op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.242µs; 6.261µs] or [-0.153%; +0.153%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[159731339.229op/s; 160220256.892op/s] or [-0.153%; +0.153%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	02d3083e	1746171480	gleocadie/fix-normalization-regression

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	146.679µs	147.952µs ± 0.367µs	147.888µs ± 0.207µs	148.121µs	148.517µs	149.102µs	150.118µs	1.51%	1.604	6.941	0.25%	0.026µs	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	[147.901µs; 148.003µs] or [-0.034%; +0.034%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	02d3083e	1746171480	gleocadie/fix-normalization-regression

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	32.543µs	33.207µs ± 1.228µs	32.639µs ± 0.054µs	32.738µs	35.855µs	35.907µs	36.447µs	11.67%	1.697	0.921	3.69%	0.087µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.037µs; 33.377µs] or [-0.512%; +0.512%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	02d3083e	1746171480	gleocadie/fix-normalization-regression

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	17.512µs	26.241µs ± 10.566µs	18.481µs ± 0.188µs	34.646µs	44.775µs	54.858µs	93.240µs	404.53%	1.801	6.734	40.16%	0.747µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.777µs; 27.706µs] or [-5.580%; +5.580%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	02d3083e	1746171480	gleocadie/fix-normalization-regression

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	462.212µs	467.676µs ± 1.955µs	467.862µs ± 1.168µs	468.915µs	469.755µs	470.782µs	478.708µs	2.32%	0.852	6.408	0.42%	0.138µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	2088957.026op/s	2138271.524op/s ± 8907.445op/s	2137383.834op/s ± 5336.239op/s	2143217.220op/s	2153114.053op/s	2159979.871op/s	2163510.124op/s	1.22%	-0.758	5.952	0.42%	629.851op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	452.810µs	453.456µs ± 0.373µs	453.448µs ± 0.264µs	453.681µs	454.122µs	454.611µs	454.646µs	0.26%	0.675	0.443	0.08%	0.026µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2199512.500op/s	2205286.353op/s ± 1814.968op/s	2205324.171op/s ± 1283.118op/s	2206644.538op/s	2207871.170op/s	2208391.637op/s	2208433.987op/s	0.14%	-0.670	0.432	0.08%	128.338op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	179.706µs	180.209µs ± 0.281µs	180.167µs ± 0.200µs	180.386µs	180.710µs	180.933µs	181.172µs	0.56%	0.655	0.155	0.16%	0.020µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5519621.176op/s	5549127.140op/s ± 8636.292op/s	5550419.913op/s ± 6162.855op/s	5555874.002op/s	5560564.208op/s	5563138.357op/s	5564632.391op/s	0.26%	-0.647	0.137	0.16%	610.678op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	41.155µs	41.299µs ± 0.148µs	41.288µs ± 0.039µs	41.326µs	41.371µs	41.437µs	42.720µs	3.47%	8.013	72.159	0.36%	0.010µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	23408132.706op/s	24213944.640op/s ± 84247.990op/s	24220147.096op/s ± 22983.097op/s	24244401.358op/s	24271653.110op/s	24286411.277op/s	24298321.274op/s	0.32%	-7.906	70.851	0.35%	5957.233op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	48.212µs	48.321µs ± 0.049µs	48.316µs ± 0.027µs	48.342µs	48.414µs	48.462µs	48.621µs	0.63%	1.574	6.379	0.10%	0.003µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	20567351.575op/s	20695123.581op/s ± 21099.463op/s	20697210.516op/s ± 11573.460op/s	20708770.771op/s	20721834.148op/s	20732209.851op/s	20741733.942op/s	0.22%	-1.556	6.261	0.10%	1491.957op/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	[467.405µs; 467.946µs] or [-0.058%; +0.058%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2137037.038op/s; 2139506.011op/s] or [-0.058%; +0.058%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[453.404µs; 453.508µs] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2205034.816op/s; 2205537.890op/s] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[180.170µs; 180.248µs] or [-0.022%; +0.022%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5547930.233op/s; 5550324.047op/s] or [-0.022%; +0.022%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[41.279µs; 41.320µs] or [-0.050%; +0.050%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[24202268.679op/s; 24225620.601op/s] or [-0.048%; +0.048%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[48.314µs; 48.327µs] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[20692199.399op/s; 20698047.764op/s] or [-0.014%; +0.014%]	None	None	None

Baseline

Omitted due to size.

May 02 '25 07:05 pr-commenter[bot]

Codecov Report

Attention: Patch coverage is 0% with 5 lines in your changes missing coverage. Please review.

Project coverage is 71.28%. Comparing base (540ea1e) to head (12ba522).

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #1048   +/-   ##
=======================================
  Coverage   71.28%   71.28%           
=======================================
  Files         329      329           
  Lines       49225    49229    +4     
=======================================
+ Hits        35088    35093    +5     
+ Misses      14137    14136    -1

Components	Coverage Δ
datadog-crashtracker	`42.80% <0.00%> (-0.05%)`	:arrow_down:
datadog-crashtracker-ffi	`6.30% <ø> (ø)`
datadog-alloc	`98.73% <ø> (ø)`
data-pipeline	`90.36% <ø> (ø)`
data-pipeline-ffi	`89.02% <ø> (ø)`
ddcommon	`78.29% <ø> (ø)`
ddcommon-ffi	`66.37% <ø> (ø)`
ddtelemetry	`60.19% <ø> (ø)`
ddtelemetry-ffi	`21.32% <ø> (ø)`
dogstatsd-client	`82.57% <ø> (ø)`
datadog-ipc	`82.54% <ø> (-0.19%)`	:arrow_down:
datadog-profiling	`77.49% <ø> (ø)`
datadog-profiling-ffi	`62.12% <ø> (ø)`
datadog-sidecar	`41.90% <ø> (ø)`
datdog-sidecar-ffi	`7.73% <ø> (ø)`
spawn-worker	`54.37% <ø> (ø)`
tinybytes	`88.94% <ø> (ø)`
datadog-trace-normalization	`98.24% <ø> (ø)`
datadog-trace-obfuscation	`94.16% <ø> (ø)`
datadog-trace-protobuf	`78.50% <ø> (ø)`
datadog-trace-utils	`89.26% <ø> (ø)`

:rocket: New features to boost your workflow:

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

May 02 '25 07:05 codecov-commenter

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	66.03 MB	66.03 MB	-0% (-128 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so.debug	20.31 MB	20.31 MB	-0% (-88 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.03 MB	8.03 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug	22.70 MB	22.70 MB	-0% (-64 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	8.00 MB	8.00 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	72.62 MB	72.62 MB	-0% (-104 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	16.71 MB	16.71 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	61.92 KB	61.92 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	112.78 MB	112.78 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	632.17 MB	632.17 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	4.99 MB	4.99 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	61.92 KB	61.92 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	15.87 MB	15.87 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	26.42 MB	26.42 MB	0% (0 B) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	14.12 MB	14.12 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	62.87 KB	62.87 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	114.49 MB	114.49 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	625.10 MB	625.10 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	3.78 MB	3.78 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	62.87 KB	62.87 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	16.50 MB	16.50 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	24.34 MB	24.34 MB	0% (0 B) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	57.50 MB	57.50 MB	-0% (-96 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	8.42 MB	8.42 MB	0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so.debug	18.71 MB	18.71 MB	-0% (-48 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	68.59 MB	68.59 MB	-0% (-88 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	8.42 MB	8.42 MB	0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug	20.89 MB	20.89 MB	-0% (-40 B) 👌

May 02 '25 08:05 r1viollet

libdatadog
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