test(crashtracker): fix segfault tests for 1.86.0

[sanchda]

What does this PR do?

Rust 1.86 changed code emission so more operations are handled safely. Unfortunately, this made it a little harder to trigger true segmentation faults within the language.

This PR uses some inline assembly to make this situation occur on supported platforms.

Motivation

Make tests more correct

Additional Notes

Anything else we should know when reviewing?

How to test the change?

Describe here in detail how the change can be validated.

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2025-04-09 17:12:27

Comparing candidate commit 1b7f4d9 in PR branch sanchda/fix_crashtracker_test_for_186 with baseline commit f03ceab 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	1b7f4d9	1744218030	sanchda/fix_crashtracker_test_for_186

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	6.221ms	6.235ms ± 0.007ms	6.234ms ± 0.004ms	6.238ms	6.244ms	6.257ms	6.287ms	0.84%	2.712	15.360	0.12%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
concentrator/add_spans_to_concentrator	execution_time	[6.234ms; 6.236ms] or [-0.016%; +0.016%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1b7f4d9	1744218030	sanchda/fix_crashtracker_test_for_186

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	17.747µs	26.081µs ± 10.816µs	18.328µs ± 0.297µs	34.809µs	44.235µs	47.018µs	87.528µs	377.56%	1.781	5.890	41.36%	0.765µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.583µs; 27.580µs] or [-5.747%; +5.747%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1b7f4d9	1744218030	sanchda/fix_crashtracker_test_for_186

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	4.925µs	4.988µs ± 0.043µs	5.004µs ± 0.036µs	5.018µs	5.042µs	5.057µs	5.101µs	1.95%	-0.003	-1.442	0.86%	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	[4.982µs; 4.994µs] or [-0.119%; +0.119%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1b7f4d9	1744218030	sanchda/fix_crashtracker_test_for_186

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	244.760ns	254.377ns ± 12.108ns	248.290ns ± 1.822ns	255.712ns	283.699ns	285.673ns	288.945ns	16.37%	1.537	0.891	4.75%	0.856ns	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	[252.699ns; 256.055ns] or [-0.660%; +0.660%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1b7f4d9	1744218030	sanchda/fix_crashtracker_test_for_186

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	53.757ms	53.886ms ± 0.097ms	53.867ms ± 0.036ms	53.910ms	54.017ms	54.298ms	54.469ms	1.12%	3.017	12.484	0.18%	0.007ms	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	[53.872ms; 53.899ms] or [-0.025%; +0.025%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1b7f4d9	1744218030	sanchda/fix_crashtracker_test_for_186

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	147.963µs	149.107µs ± 0.335µs	149.036µs ± 0.130µs	149.210µs	149.686µs	150.347µs	150.983µs	1.31%	1.678	7.854	0.22%	0.024µs	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	[149.060µs; 149.153µs] or [-0.031%; +0.031%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1b7f4d9	1744218030	sanchda/fix_crashtracker_test_for_186

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	68.005µs	68.178µs ± 0.189µs	68.154µs ± 0.047µs	68.206µs	68.316µs	68.494µs	70.382µs	3.27%	8.725	94.399	0.28%	0.013µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[68.152µs; 68.204µs] or [-0.038%; +0.038%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1b7f4d9	1744218030	sanchda/fix_crashtracker_test_for_186

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	3.916µs	3.917µs	3.921µs	0.22%	-1.650	10.149	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	255051257.220op/s	255625205.696op/s ± 184222.998op/s	255612627.264op/s ± 98147.959op/s	255698245.663op/s	255923815.285op/s	256025599.607op/s	256892038.508op/s	0.50%	1.670	10.301	0.07%	13026.533op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	76.762µs	77.485µs ± 0.462µs	77.394µs ± 0.320µs	77.785µs	78.345µs	78.719µs	79.152µs	2.27%	0.884	0.467	0.59%	0.033µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12633985.126op/s	12906225.605op/s ± 76531.432op/s	12920867.205op/s ± 53591.268op/s	12968616.301op/s	13000379.113op/s	13008187.450op/s	13027240.971op/s	0.82%	-0.854	0.382	0.59%	5411.589op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	70.846µs	71.353µs ± 0.271µs	71.316µs ± 0.186µs	71.507µs	71.923µs	72.080µs	72.269µs	1.34%	0.793	0.376	0.38%	0.019µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13837191.604op/s	14015099.912op/s ± 53114.075op/s	14022190.852op/s ± 36579.733op/s	14058200.249op/s	14084470.493op/s	14102453.606op/s	14115097.327op/s	0.66%	-0.773	0.332	0.38%	3755.732op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.897µs	3.914µs ± 0.003µs	3.913µs ± 0.001µs	3.915µs	3.918µs	3.919µs	3.924µs	0.26%	-0.877	7.881	0.07%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254867978.387op/s	255520236.763op/s ± 175354.105op/s	255528005.871op/s ± 88851.477op/s	255607732.277op/s	255772468.017op/s	256011503.822op/s	256606744.891op/s	0.42%	0.896	7.966	0.07%	12399.408op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	67.059µs	67.762µs ± 0.380µs	67.742µs ± 0.230µs	67.961µs	68.442µs	68.805µs	69.028µs	1.90%	0.535	0.350	0.56%	0.027µs	1	200
credit_card/is_card_number/378282246310005	throughput	14486914.597op/s	14757986.453op/s ± 82549.456op/s	14761991.565op/s ± 50308.578op/s	14814250.570op/s	14886234.191op/s	14906331.431op/s	14912310.576op/s	1.02%	-0.501	0.285	0.56%	5837.128op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	51.748µs	51.844µs ± 0.030µs	51.838µs ± 0.018µs	51.861µs	51.903µs	51.919µs	51.939µs	0.20%	0.587	0.561	0.06%	0.002µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19253260.784op/s	19288520.557op/s ± 11190.448op/s	19291042.205op/s ± 6534.699op/s	19295958.462op/s	19303060.404op/s	19310573.737op/s	19324302.243op/s	0.17%	-0.584	0.559	0.06%	791.284op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.030µs	6.043µs ± 0.011µs	6.040µs ± 0.003µs	6.044µs	6.071µs	6.084µs	6.112µs	1.19%	2.903	9.867	0.19%	0.001µs	1	200
credit_card/is_card_number/x371413321323331	throughput	163610624.508op/s	165477570.262op/s ± 310905.907op/s	165554185.885op/s ± 80574.557op/s	165632713.213op/s	165714919.849op/s	165833704.511op/s	165838293.535op/s	0.17%	-2.884	9.712	0.19%	21984.368op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.895µs	3.914µs ± 0.005µs	3.913µs ± 0.001µs	3.915µs	3.919µs	3.922µs	3.966µs	1.35%	6.639	74.529	0.12%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	252161027.901op/s	255501499.012op/s ± 303264.980op/s	255553949.182op/s ± 94873.180op/s	255614014.046op/s	255719564.244op/s	255861496.312op/s	256711870.453op/s	0.45%	-6.523	73.029	0.12%	21444.072op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	66.011µs	66.274µs ± 0.177µs	66.243µs ± 0.082µs	66.331µs	66.642µs	66.905µs	67.275µs	1.56%	2.265	7.479	0.27%	0.013µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	14864346.701op/s	15088922.619op/s ± 40065.194op/s	15095998.390op/s ± 18649.947op/s	15113831.521op/s	15132293.805op/s	15142357.278op/s	15148997.869op/s	0.35%	-2.230	7.267	0.26%	2833.037op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	59.484µs	59.630µs ± 0.047µs	59.628µs ± 0.031µs	59.661µs	59.706µs	59.739µs	59.751µs	0.21%	-0.017	0.196	0.08%	0.003µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	16736061.550op/s	16770065.473op/s ± 13090.778op/s	16770772.736op/s ± 8735.290op/s	16779247.846op/s	16791524.230op/s	16800761.888op/s	16811199.621op/s	0.24%	0.023	0.198	0.08%	925.658op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.895µs	3.913µs ± 0.003µs	3.913µs ± 0.001µs	3.915µs	3.918µs	3.920µs	3.923µs	0.25%	-1.181	10.038	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254923604.670op/s	255533260.711op/s ± 182241.796op/s	255548408.693op/s ± 94908.548op/s	255625248.787op/s	255799101.689op/s	255926817.702op/s	256770991.807op/s	0.48%	1.204	10.188	0.07%	12886.441op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	56.195µs	56.464µs ± 0.098µs	56.463µs ± 0.061µs	56.524µs	56.646µs	56.680µs	56.693µs	0.41%	0.038	-0.134	0.17%	0.007µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17638902.143op/s	17710465.905op/s ± 30583.375op/s	17710859.476op/s ± 19045.801op/s	17728413.995op/s	17761340.756op/s	17775978.809op/s	17795097.451op/s	0.48%	-0.028	-0.133	0.17%	2162.571op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	51.729µs	51.834µs ± 0.035µs	51.834µs ± 0.017µs	51.850µs	51.886µs	51.919µs	52.044µs	0.40%	0.749	6.374	0.07%	0.002µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19214694.443op/s	19292384.023op/s ± 13097.832op/s	19292482.684op/s ± 6350.535op/s	19298830.491op/s	19314081.997op/s	19328096.950op/s	19331339.968op/s	0.20%	-0.733	6.300	0.07%	926.157op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.026µs	6.042µs ± 0.014µs	6.038µs ± 0.003µs	6.041µs	6.074µs	6.082µs	6.115µs	1.28%	2.704	8.047	0.23%	0.001µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	163529615.312op/s	165518077.171op/s ± 371164.603op/s	165621151.876op/s ± 69765.484op/s	165690133.572op/s	165813509.496op/s	165904118.772op/s	165942618.747op/s	0.19%	-2.686	7.906	0.22%	26245.301op/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; 3.912µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/	throughput	[255599674.160op/s; 255650737.231op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[77.421µs; 77.549µs] or [-0.083%; +0.083%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12895619.085op/s; 12916832.126op/s] or [-0.082%; +0.082%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[71.315µs; 71.390µs] or [-0.053%; +0.053%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14007738.812op/s; 14022461.012op/s] or [-0.053%; +0.053%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.913µs; 3.914µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255495934.371op/s; 255544539.156op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[67.709µs; 67.815µs] or [-0.078%; +0.078%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14746545.892op/s; 14769427.014op/s] or [-0.078%; +0.078%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[51.840µs; 51.848µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19286969.668op/s; 19290071.445op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.042µs; 6.045µs] or [-0.026%; +0.026%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[165434481.693op/s; 165520658.830op/s] or [-0.026%; +0.026%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.913µs; 3.915µs] or [-0.017%; +0.017%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255459469.403op/s; 255543528.622op/s] or [-0.016%; +0.016%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[66.250µs; 66.299µs] or [-0.037%; +0.037%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15083369.968op/s; 15094475.269op/s] or [-0.037%; +0.037%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[59.624µs; 59.637µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[16768251.217op/s; 16771879.729op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.913µs; 3.914µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255508003.750op/s; 255558517.671op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[56.450µs; 56.477µs] or [-0.024%; +0.024%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[17706227.343op/s; 17714704.466op/s] or [-0.024%; +0.024%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[51.829µs; 51.839µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19290568.790op/s; 19294199.257op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.040µs; 6.044µs] or [-0.031%; +0.031%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[165466637.327op/s; 165569517.015op/s] or [-0.031%; +0.031%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1b7f4d9	1744218030	sanchda/fix_crashtracker_test_for_186

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	31.937µs	32.746µs ± 1.093µs	32.069µs ± 0.072µs	34.271µs	34.377µs	35.052µs	36.269µs	13.10%	0.998	-0.723	3.33%	0.077µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[32.594µs; 32.897µs] or [-0.462%; +0.462%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1b7f4d9	1744218030	sanchda/fix_crashtracker_test_for_186

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	2.317µs	2.373µs ± 0.020µs	2.376µs ± 0.014µs	2.385µs	2.408µs	2.412µs	2.420µs	1.84%	-0.076	-0.318	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	[2.370µs; 2.375µs] or [-0.115%; +0.115%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1b7f4d9	1744218030	sanchda/fix_crashtracker_test_for_186

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	1.189µs	3.212µs ± 1.436µs	3.015µs ± 0.023µs	3.037µs	3.709µs	14.007µs	14.994µs	397.26%	7.399	55.643	44.62%	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	[3.012µs; 3.411µs] or [-6.199%; +6.199%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1b7f4d9	1744218030	sanchda/fix_crashtracker_test_for_186

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	502.579µs	504.033µs ± 0.496µs	504.016µs ± 0.339µs	504.361µs	504.810µs	505.154µs	505.561µs	0.31%	-0.011	0.154	0.10%	0.035µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1978001.329op/s	1983999.560op/s ± 1952.964op/s	1984062.248op/s ± 1337.125op/s	1985391.216op/s	1987238.364op/s	1988367.559op/s	1989738.916op/s	0.29%	0.017	0.153	0.10%	138.095op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	453.613µs	454.999µs ± 1.305µs	454.904µs ± 0.345µs	455.190µs	455.745µs	458.509µs	466.791µs	2.61%	7.324	62.824	0.29%	0.092µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2142288.671op/s	2197824.640op/s ± 6173.219op/s	2198266.853op/s ± 1665.837op/s	2200048.121op/s	2202484.329op/s	2204096.983op/s	2204521.142op/s	0.28%	-7.228	61.675	0.28%	436.512op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	177.331µs	177.756µs ± 0.170µs	177.731µs ± 0.089µs	177.861µs	178.092µs	178.196µs	178.368µs	0.36%	0.602	0.895	0.10%	0.012µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5606374.530op/s	5625683.747op/s ± 5367.321op/s	5626472.362op/s ± 2805.137op/s	5629015.543op/s	5633048.444op/s	5637730.621op/s	5639182.803op/s	0.23%	-0.595	0.885	0.10%	379.527op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.588µs	37.675µs ± 0.046µs	37.669µs ± 0.028µs	37.699µs	37.754µs	37.777µs	37.997µs	0.87%	2.010	10.638	0.12%	0.003µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26317823.911op/s	26542615.179op/s ± 32346.602op/s	26546705.739op/s ± 19884.394op/s	26564841.817op/s	26580341.189op/s	26592678.825op/s	26604360.062op/s	0.22%	-1.979	10.366	0.12%	2287.250op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	48.190µs	48.313µs ± 0.052µs	48.309µs ± 0.033µs	48.343µs	48.399µs	48.443µs	48.514µs	0.43%	0.467	0.879	0.11%	0.004µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	20612582.252op/s	20698506.739op/s ± 22325.219op/s	20700256.363op/s ± 14007.527op/s	20713610.059op/s	20730740.989op/s	20749132.796op/s	20751158.547op/s	0.25%	-0.458	0.863	0.11%	1578.631op/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	[503.964µs; 504.102µs] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1983728.898op/s; 1984270.222op/s] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[454.818µs; 455.180µs] or [-0.040%; +0.040%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2196969.091op/s; 2198680.189op/s] or [-0.039%; +0.039%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[177.733µs; 177.780µs] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5624939.888op/s; 5626427.606op/s] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.669µs; 37.682µs] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26538132.251op/s; 26547098.107op/s] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[48.305µs; 48.320µs] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[20695412.678op/s; 20701600.800op/s] or [-0.015%; +0.015%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1b7f4d9	1744218030	sanchda/fix_crashtracker_test_for_186

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	208.704µs	209.102µs ± 0.447µs	209.057µs ± 0.095µs	209.162µs	209.383µs	209.538µs	214.979µs	2.83%	11.453	147.878	0.21%	0.032µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4651622.544op/s	4782381.728op/s ± 9982.325op/s	4783379.033op/s ± 2180.976op/s	4785458.587op/s	4788142.868op/s	4789389.574op/s	4791464.804op/s	0.17%	-11.333	145.756	0.21%	705.857op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.631µs	18.688µs ± 0.033µs	18.681µs ± 0.021µs	18.709µs	18.752µs	18.767µs	18.790µs	0.58%	0.501	-0.212	0.18%	0.002µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	53220572.435op/s	53511144.366op/s ± 94701.387op/s	53529455.538op/s ± 59671.144op/s	53572931.025op/s	53649752.543op/s	53665882.007op/s	53674846.040op/s	0.27%	-0.492	-0.224	0.18%	6696.399op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.858µs	10.950µs ± 0.050µs	10.943µs ± 0.039µs	10.990µs	11.030µs	11.055µs	11.078µs	1.23%	0.306	-0.794	0.46%	0.004µs	1	200
normalization/normalize_name/normalize_name/good	throughput	90270402.169op/s	91325377.422op/s ± 420248.455op/s	91384347.964op/s ± 323079.579op/s	91693023.939op/s	91966305.685op/s	92067545.853op/s	92097462.139op/s	0.78%	-0.291	-0.804	0.46%	29716.053op/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	[209.040µs; 209.164µs] 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	[4780998.273op/s; 4783765.182op/s] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.683µs; 18.692µs] or [-0.025%; +0.025%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[53498019.665op/s; 53524269.067op/s] or [-0.025%; +0.025%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.943µs; 10.957µs] or [-0.064%; +0.064%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[91267135.028op/s; 91383619.816op/s] or [-0.064%; +0.064%]	None	None	None

Baseline

Omitted due to size.

[codecov-commenter]

Codecov Report

Attention: Patch coverage is 0% with 12 lines in your changes missing coverage. Please review.

Project coverage is 71.52%. Comparing base (f03ceab) to head (1b7f4d9).

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #999   +/-   ##
=======================================
  Coverage   71.51%   71.52%           
=======================================
  Files         337      337           
  Lines       50511    50516    +5     
=======================================
+ Hits        36124    36132    +8     
+ Misses      14387    14384    -3     

Components	Coverage Δ
crashtracker	42.66% <ø> (ø)
crashtracker-ffi	6.30% <ø> (ø)
datadog-alloc	98.73% <ø> (ø)
data-pipeline	90.93% <ø> (ø)
data-pipeline-ffi	90.35% <ø> (ø)
ddcommon	79.95% <ø> (ø)
ddcommon-ffi	66.37% <ø> (ø)
ddtelemetry	60.33% <ø> (+0.03%)	⬆️
ddtelemetry-ffi	21.43% <ø> (ø)
dogstatsd-client	82.57% <ø> (ø)
ipc	82.42% <ø> (ø)
profiling	77.58% <ø> (ø)
profiling-ffi	62.28% <ø> (ø)
serverless	0.00% <ø> (ø)
sidecar	41.65% <ø> (ø)
sidecar-ffi	6.02% <ø> (ø)
spawn-worker	54.37% <ø> (ø)
tinybytes	91.59% <ø> (ø)
trace-mini-agent	73.82% <ø> (ø)
trace-normalization	98.24% <ø> (ø)
trace-obfuscation	96.00% <ø> (ø)
trace-protobuf	78.50% <ø> (ø)
trace-utils	92.88% <ø> (ø)

🚀 New features to boost your workflow:

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

[Copilot]

Copilot reviewed 2 out of 2 changed files in this pull request and generated 1 comment.

Comments suppressed due to low confidence (1)

bin_tests/tests/crashtracker_bin_test.rs:336

• The telemetry test now only supports SIGSEGV, which might cause test failures if any platform still produces SIGABRT. Verify that inline assembly reliably triggers SIGSEGV across all intended environments.

assert!(tags.contains("si_signo_human_readable:SIGSEGV"), "{tags:?}");

[taegyunkim]

thank you for quickly updating this!

[morrisonlevi]

Seems the assembly for ARM gets rejected:

error: invalid operand for instruction
  --> bin_tests/src/bin/crashtracker_bin_test.rs:39:30
   |
39 |             std::arch::asm!("ldr x0, [xzr]", options(nostack));
   |                              ^
   |
note: instantiated into assembly here
  --> <inline asm>:1:11
   |
1  |     ldr x0, [xzr]
   |              ^
error: could not compile `bin_tests` (bin "crashtracker_bin_test") due to 1 previous error

[morrisonlevi]

See my previous comment, meant it as my review.

[r1viollet]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	7.78 MB	7.78 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	77.61 MB	77.61 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so.debug	23.99 MB	23.99 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	7.71 MB	7.71 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	71.92 MB	71.92 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug	22.58 MB	22.58 MB	0% (0 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	16.89 MB	16.89 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	61.83 KB	61.83 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	113.06 MB	113.06 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	631.14 MB	631.14 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	5.05 MB	5.05 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	61.83 KB	61.83 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	16.05 MB	16.05 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	26.71 MB	26.71 MB	0% (0 B) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	14.29 MB	14.29 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	62.78 KB	62.78 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	115.02 MB	115.04 MB	+.01% (+16.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	623.12 MB	623.12 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	3.82 MB	3.82 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	62.78 KB	62.78 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	16.68 MB	16.68 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	24.61 MB	24.61 MB	0% (0 B) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	66.88 MB	66.88 MB	0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	8.24 MB	8.24 MB	0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so.debug	23.13 MB	23.13 MB	0% (0 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	67.82 MB	67.82 MB	0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	8.12 MB	8.12 MB	0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug	20.77 MB	20.77 MB	0% (0 B) 👌

[morrisonlevi]

I'm going to force merge because this is taking over 30 minutes again:

#77 exporting to GitHub Actions Cache
#77 preparing build cache for export

This takes like 6 minutes when it works, this is happening a lot, we should figure it out.