build: update ffi build script and builder for mac x86_64 cross-compilation

[taegyunkim]

What does this PR do?

A brief description of the change being made with this pull request.

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.

PROF-11580

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 71.81%. Comparing base (db24d6b) to head (47444c4).

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #866      +/-   ##
==========================================
- Coverage   71.83%   71.81%   -0.03%     
==========================================
  Files         335      335              
  Lines       50330    50330              
==========================================
- Hits        36156    36144      -12     
- Misses      14174    14186      +12     

Components	Coverage Δ
crashtracker	42.88% <ø> (ø)
crashtracker-ffi	6.25% <ø> (ø)
datadog-alloc	98.73% <ø> (ø)
data-pipeline	90.70% <ø> (ø)
data-pipeline-ffi	90.29% <ø> (ø)
ddcommon	79.95% <ø> (ø)
ddcommon-ffi	66.37% <ø> (ø)
ddtelemetry	61.76% <ø> (ø)
ddtelemetry-ffi	22.46% <ø> (ø)
dogstatsd-client	82.57% <ø> (ø)
ipc	82.42% <ø> (-0.11%)	⬇️
profiling	77.45% <ø> (ø)
profiling-ffi	62.28% <ø> (ø)
serverless	0.00% <ø> (ø)
sidecar	42.54% <ø> (ø)
sidecar-ffi	13.52% <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	78.13% <ø> (ø)
trace-utils	93.05% <ø> (ø)

🚀 New features to boost your workflow:

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

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2025-04-03 19:18:49

Comparing candidate commit 47444c4 in PR branch taegyunkim/prof-11194-32bit with baseline commit db24d6b 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	47444c4	1743707228	taegyunkim/prof-11194-32bit

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	5.988ms	6.001ms ± 0.007ms	6.000ms ± 0.003ms	6.003ms	6.010ms	6.022ms	6.050ms	0.84%	2.836	16.192	0.12%	0.000ms	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	[6.000ms; 6.002ms] 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	47444c4	1743707228	taegyunkim/prof-11194-32bit

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	2.320µs	2.374µs ± 0.016µs	2.374µs ± 0.005µs	2.381µs	2.398µs	2.403µs	2.410µs	1.50%	-1.353	3.367	0.67%	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	[2.372µs; 2.376µs] or [-0.093%; +0.093%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	47444c4	1743707228	taegyunkim/prof-11194-32bit

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	146.043µs	147.288µs ± 0.343µs	147.256µs ± 0.193µs	147.468µs	147.828µs	148.690µs	148.750µs	1.01%	0.905	4.102	0.23%	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	[147.241µs; 147.336µs] or [-0.032%; +0.032%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	47444c4	1743707228	taegyunkim/prof-11194-32bit

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	3.914µs ± 0.004µs	3.914µs ± 0.002µs	3.916µs	3.919µs	3.923µs	3.947µs	0.84%	3.373	26.922	0.11%	0.000µs	1	200
credit_card/is_card_number/	throughput	253366552.283op/s	255482794.089op/s ± 288068.013op/s	255490201.953op/s ± 116753.647op/s	255610852.071op/s	255806232.037op/s	255943317.217op/s	256714438.997op/s	0.48%	-3.314	26.517	0.11%	20369.485op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	82.049µs	82.451µs ± 0.204µs	82.397µs ± 0.113µs	82.554µs	82.889µs	83.072µs	83.108µs	0.86%	1.033	0.898	0.25%	0.014µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12032539.537op/s	12128537.653op/s ± 29890.658op/s	12136356.958op/s ± 16715.882op/s	12150304.647op/s	12166696.527op/s	12173798.431op/s	12187781.749op/s	0.42%	-1.020	0.863	0.25%	2113.589op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	75.948µs	76.493µs ± 0.323µs	76.471µs ± 0.236µs	76.698µs	77.087µs	77.239µs	77.717µs	1.63%	0.581	0.338	0.42%	0.023µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	12867198.917op/s	13073395.061op/s ± 55133.482op/s	13076844.831op/s ± 40220.488op/s	13123784.603op/s	13151852.637op/s	13164184.271op/s	13166919.552op/s	0.69%	-0.556	0.275	0.42%	3898.526op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.894µs	3.914µs ± 0.003µs	3.914µs ± 0.002µs	3.916µs	3.918µs	3.920µs	3.922µs	0.20%	-1.798	10.947	0.07%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254958829.535op/s	255485128.597op/s ± 192232.959op/s	255465957.012op/s ± 119380.794op/s	255590709.300op/s	255769794.191op/s	255955958.793op/s	256831790.953op/s	0.53%	1.819	11.121	0.08%	13592.923op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	72.871µs	73.741µs ± 0.426µs	73.693µs ± 0.297µs	74.024µs	74.449µs	74.831µs	74.939µs	1.69%	0.473	-0.313	0.58%	0.030µs	1	200
credit_card/is_card_number/378282246310005	throughput	13344235.050op/s	13561373.896op/s ± 78107.085op/s	13569759.134op/s ± 54564.934op/s	13621980.429op/s	13669071.255op/s	13706450.362op/s	13722914.775op/s	1.13%	-0.448	-0.345	0.57%	5523.005op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	51.923µs	52.126µs ± 0.063µs	52.130µs ± 0.039µs	52.161µs	52.232µs	52.279µs	52.304µs	0.34%	-0.004	0.402	0.12%	0.004µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19118840.522op/s	19184149.454op/s ± 23230.127op/s	19182920.488op/s ± 14361.177op/s	19199206.117op/s	19220088.164op/s	19233932.426op/s	19259208.585op/s	0.40%	0.013	0.408	0.12%	1642.618op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.469µs	6.605µs ± 0.065µs	6.599µs ± 0.044µs	6.646µs	6.714µs	6.743µs	6.763µs	2.48%	0.052	-0.645	0.98%	0.005µs	1	200
credit_card/is_card_number/x371413321323331	throughput	147860614.252op/s	151417543.533op/s ± 1479782.165op/s	151529544.625op/s ± 1015198.478op/s	152523501.602op/s	153713247.518op/s	154418094.519op/s	154573653.580op/s	2.01%	-0.013	-0.648	0.97%	104636.400op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.900µs	3.915µs ± 0.003µs	3.915µs ± 0.002µs	3.916µs	3.919µs	3.921µs	3.925µs	0.27%	-0.530	3.947	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254763524.287op/s	255441699.511op/s ± 185994.767op/s	255452125.032op/s ± 104969.109op/s	255542707.826op/s	255679144.171op/s	255958451.692op/s	256397874.889op/s	0.37%	0.543	3.982	0.07%	13151.816op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	63.782µs	63.989µs ± 0.099µs	63.972µs ± 0.058µs	64.036µs	64.161µs	64.277µs	64.343µs	0.58%	0.914	1.243	0.15%	0.007µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15541741.554op/s	15627695.610op/s ± 24211.773op/s	15631920.641op/s ± 14122.122op/s	15644337.058op/s	15659252.747op/s	15673716.162op/s	15678506.336op/s	0.30%	-0.903	1.216	0.15%	1712.031op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	57.750µs	57.875µs ± 0.050µs	57.872µs ± 0.029µs	57.906µs	57.959µs	58.005µs	58.056µs	0.32%	0.296	0.663	0.09%	0.004µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	17224878.858op/s	17278521.188op/s ± 15017.764op/s	17279629.909op/s ± 8652.922op/s	17287526.186op/s	17302765.762op/s	17314251.863op/s	17315902.925op/s	0.21%	-0.289	0.656	0.09%	1061.916op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.895µs	3.915µs ± 0.003µs	3.914µs ± 0.001µs	3.916µs	3.919µs	3.920µs	3.929µs	0.36%	-1.148	13.409	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254538835.902op/s	255451829.778op/s ± 183445.907op/s	255461438.096op/s ± 96856.129op/s	255539391.404op/s	255691964.640op/s	255883293.329op/s	256734120.919op/s	0.50%	1.178	13.549	0.07%	12971.584op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	54.550µs	54.699µs ± 0.127µs	54.668µs ± 0.030µs	54.704µs	55.011µs	55.252µs	55.290µs	1.14%	2.873	8.527	0.23%	0.009µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	18086490.785op/s	18281895.390op/s ± 42031.291op/s	18292233.118op/s ± 10112.299op/s	18300931.978op/s	18316023.324op/s	18328336.286op/s	18331669.793op/s	0.22%	-2.857	8.438	0.23%	2972.061op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	51.943µs	52.142µs ± 0.083µs	52.145µs ± 0.056µs	52.207µs	52.269µs	52.297µs	52.313µs	0.32%	-0.234	-0.505	0.16%	0.006µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19115827.278op/s	19178339.560op/s ± 30669.089op/s	19177373.576op/s ± 20655.747op/s	19196785.020op/s	19230644.705op/s	19248981.787op/s	19252011.234op/s	0.39%	0.241	-0.500	0.16%	2168.632op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.435µs	6.595µs ± 0.066µs	6.594µs ± 0.044µs	6.640µs	6.711µs	6.754µs	6.764µs	2.58%	0.129	-0.220	1.00%	0.005µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	147840515.796op/s	151656238.380op/s ± 1516401.518op/s	151653223.385op/s ± 1001474.391op/s	152582148.661op/s	154286703.388op/s	154968212.655op/s	155410033.070op/s	2.48%	-0.076	-0.228	1.00%	107225.780op/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	[3.914µs; 3.915µs] or [-0.016%; +0.016%]	None	None	None
credit_card/is_card_number/	throughput	[255442870.633op/s; 255522717.545op/s] or [-0.016%; +0.016%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[82.422µs; 82.479µs] or [-0.034%; +0.034%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12124395.096op/s; 12132680.211op/s] or [-0.034%; +0.034%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[76.448µs; 76.537µs] or [-0.059%; +0.059%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13065754.090op/s; 13081036.031op/s] or [-0.058%; +0.058%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.914µs; 3.915µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255458486.958op/s; 255511770.237op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[73.682µs; 73.800µs] or [-0.080%; +0.080%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[13550549.006op/s; 13572198.787op/s] or [-0.080%; +0.080%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.118µs; 52.135µs] or [-0.017%; +0.017%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19180929.982op/s; 19187368.926op/s] or [-0.017%; +0.017%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.596µs; 6.614µs] or [-0.135%; +0.135%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[151212459.957op/s; 151622627.110op/s] or [-0.135%; +0.135%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.914µs; 3.915µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255415922.425op/s; 255467476.597op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[63.975µs; 64.003µs] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15624340.091op/s; 15631051.128op/s] or [-0.021%; +0.021%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[57.868µs; 57.882µs] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17276439.870op/s; 17280602.505op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.914µs; 3.915µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255426405.940op/s; 255477253.617op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[54.682µs; 54.717µs] or [-0.032%; +0.032%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18276070.257op/s; 18287720.522op/s] or [-0.032%; +0.032%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.131µs; 52.154µs] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19174089.119op/s; 19182590.000op/s] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.585µs; 6.604µs] or [-0.139%; +0.139%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[151446079.714op/s; 151866397.046op/s] or [-0.139%; +0.139%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	47444c4	1743707228	taegyunkim/prof-11194-32bit

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_trace/test_trace	execution_time	245.190ns	254.145ns ± 12.797ns	247.969ns ± 2.168ns	253.711ns	285.894ns	291.141ns	295.706ns	19.25%	1.903	2.338	5.02%	0.905ns	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	[252.371ns; 255.918ns] or [-0.698%; +0.698%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	47444c4	1743707228	taegyunkim/prof-11194-32bit

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	32.757µs	33.321µs ± 1.042µs	32.841µs ± 0.035µs	32.924µs	35.550µs	35.567µs	36.862µs	12.24%	1.738	1.160	3.12%	0.074µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.177µs; 33.466µs] or [-0.433%; +0.433%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	47444c4	1743707228	taegyunkim/prof-11194-32bit

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	208.711µs	209.246µs ± 0.296µs	209.215µs ± 0.106µs	209.352µs	209.492µs	209.544µs	212.757µs	1.69%	8.371	97.658	0.14%	0.021µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4700197.265op/s	4779071.720op/s ± 6674.808op/s	4779767.245op/s ± 2428.322op/s	4781997.215op/s	4785697.592op/s	4787821.665op/s	4791317.494op/s	0.24%	-8.246	95.729	0.14%	471.980op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.590µs	18.657µs ± 0.029µs	18.650µs ± 0.013µs	18.669µs	18.710µs	18.754µs	18.767µs	0.63%	1.372	2.877	0.15%	0.002µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	53283962.882op/s	53598201.075op/s ± 82680.475op/s	53618450.200op/s ± 37571.051op/s	53648007.696op/s	53681890.773op/s	53754872.145op/s	53792900.978op/s	0.33%	-1.358	2.837	0.15%	5846.392op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.813µs	10.943µs ± 0.084µs	10.959µs ± 0.040µs	10.988µs	11.019µs	11.061µs	11.571µs	5.58%	2.564	17.817	0.77%	0.006µs	1	200
normalization/normalize_name/normalize_name/good	throughput	86423068.843op/s	91388280.233op/s ± 689394.376op/s	91247504.310op/s ± 335393.591op/s	91836446.573op/s	92390340.679op/s	92470021.095op/s	92484167.422op/s	1.36%	-2.274	15.402	0.75%	48747.544op/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	[209.205µs; 209.287µs] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4778146.655op/s; 4779996.784op/s] or [-0.019%; +0.019%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.653µs; 18.661µs] or [-0.021%; +0.021%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[53586742.356op/s; 53609659.794op/s] or [-0.021%; +0.021%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.931µs; 10.955µs] or [-0.106%; +0.106%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[91292736.803op/s; 91483823.663op/s] or [-0.105%; +0.105%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	47444c4	1743707228	taegyunkim/prof-11194-32bit

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	4.953µs	5.025µs ± 0.043µs	5.026µs ± 0.034µs	5.050µs	5.101µs	5.103µs	5.105µs	1.58%	0.242	-0.973	0.85%	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	[5.019µs; 5.031µs] or [-0.117%; +0.117%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	47444c4	1743707228	taegyunkim/prof-11194-32bit

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	17.914µs	26.676µs ± 11.591µs	18.284µs ± 0.277µs	36.768µs	46.804µs	49.479µs	93.118µs	409.28%	1.577	4.534	43.34%	0.820µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[25.069µs; 28.282µs] or [-6.022%; +6.022%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	47444c4	1743707228	taegyunkim/prof-11194-32bit

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	1.198µs	3.166µs ± 1.416µs	2.972µs ± 0.026µs	3.000µs	3.640µs	13.763µs	14.918µs	402.01%	7.416	55.917	44.63%	0.100µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[2.969µs; 3.362µs] or [-6.200%; +6.200%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	47444c4	1743707228	taegyunkim/prof-11194-32bit

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	55.689ms	56.188ms ± 0.165ms	56.184ms ± 0.072ms	56.257ms	56.458ms	56.668ms	57.152ms	1.72%	1.225	6.246	0.29%	0.012ms	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	[56.165ms; 56.211ms] or [-0.041%; +0.041%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	47444c4	1743707228	taegyunkim/prof-11194-32bit

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	66.923µs	67.209µs ± 0.269µs	67.176µs ± 0.066µs	67.255µs	67.423µs	67.572µs	70.660µs	5.19%	10.644	133.690	0.40%	0.019µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[67.172µs; 67.246µs] or [-0.056%; +0.056%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	47444c4	1743707228	taegyunkim/prof-11194-32bit

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	502.961µs	505.196µs ± 0.986µs	505.414µs ± 0.643µs	505.924µs	506.387µs	506.725µs	510.226µs	0.95%	0.228	2.051	0.19%	0.070µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1959916.656op/s	1979438.779op/s ± 3862.172op/s	1978575.979op/s ± 2516.868op/s	1982761.213op/s	1985909.169op/s	1987755.471op/s	1988225.508op/s	0.49%	-0.205	1.941	0.19%	273.097op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	453.895µs	455.194µs ± 0.756µs	455.130µs ± 0.319µs	455.457µs	455.985µs	456.337µs	463.264µs	1.79%	6.070	63.127	0.17%	0.053µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2158594.996op/s	2196871.234op/s ± 3612.529op/s	2197176.365op/s ± 1539.517op/s	2198613.994op/s	2200689.394op/s	2202833.341op/s	2203154.168op/s	0.27%	-5.931	61.203	0.16%	255.444op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	176.567µs	177.687µs ± 0.370µs	177.814µs ± 0.155µs	177.919µs	178.096µs	178.299µs	178.485µs	0.38%	-0.956	0.179	0.21%	0.026µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5602710.181op/s	5627901.486op/s ± 11757.859op/s	5623864.168op/s ± 4897.277op/s	5632524.812op/s	5652981.552op/s	5656794.455op/s	5663574.815op/s	0.71%	0.963	0.191	0.21%	831.406op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.583µs	37.687µs ± 0.040µs	37.682µs ± 0.026µs	37.716µs	37.753µs	37.786µs	37.807µs	0.33%	0.292	-0.108	0.11%	0.003µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26450057.137op/s	26534248.350op/s ± 27935.020op/s	26537907.341op/s ± 18264.376op/s	26553771.631op/s	26576212.256op/s	26593160.217op/s	26607550.802op/s	0.26%	-0.287	-0.112	0.11%	1975.304op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	48.177µs	48.294µs ± 0.049µs	48.287µs ± 0.028µs	48.316µs	48.377µs	48.409µs	48.562µs	0.57%	1.113	3.848	0.10%	0.003µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	20592439.813op/s	20706626.291op/s ± 20776.996op/s	20709454.126op/s ± 12069.621op/s	20720309.783op/s	20735711.039op/s	20747733.562op/s	20756924.852op/s	0.23%	-1.100	3.774	0.10%	1469.155op/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	[505.059µs; 505.332µs] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1978903.519op/s; 1979974.039op/s] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[455.089µs; 455.299µs] or [-0.023%; +0.023%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2196370.572op/s; 2197371.896op/s] or [-0.023%; +0.023%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[177.636µs; 177.738µs] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5626271.960op/s; 5629531.013op/s] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.682µs; 37.693µs] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26530376.825op/s; 26538119.875op/s] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[48.287µs; 48.300µs] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[20703746.800op/s; 20709505.783op/s] or [-0.014%; +0.014%]	None	None	None

Baseline

Omitted due to size.

[ivoanjo]

👍 Arguably this could go in as-is, and we could fix the sharp edges separately, up to you :D

[r1viollet]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	77.58 MB	77.58 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so.debug	23.97 MB	23.97 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	7.78 MB	7.78 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug	22.54 MB	22.54 MB	0% (0 B) 👌
/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	71.81 MB	71.81 MB	0% (0 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	16.83 MB	16.83 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	112.73 MB	112.73 MB	+0% (+8.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	629.42 MB	629.42 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	5.03 MB	5.03 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	16.03 MB	16.03 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	26.65 MB	26.65 MB	0% (0 B) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	14.23 MB	14.23 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	114.71 MB	114.72 MB	+0% (+8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	621.54 MB	621.54 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	3.80 MB	3.80 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	16.65 MB	16.65 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	24.56 MB	24.56 MB	0% (0 B) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	66.87 MB	66.87 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	67.79 MB	67.79 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	20.75 MB	20.75 MB	0% (0 B) 👌

[taegyunkim]

@ivoanjo
I realized that the alpine and centos images that we use don't have rustup for some reasons.

https://github.com/DataDog/libddprof-build/blob/11f1208548e2fbc101e36cff16e5d9242c03d4fa/alpine.Dockerfile#L27

https://gitlab.ddbuild.io/DataDog/apm-reliability/libddprof-build/-/jobs/801726110

And to add a target in that case, I need to download tarballs for 32bit targets, i686-alpine-linux-musl, i686-unknown-linux-gnu, i686-alpine-linux-musl, and i686-unknown-linux-gnu manually.

Though I've already done most of work, I don't want to spend more time on supporting 32bits where we might not get that much value as you pointed out earlier.

So will close PR for now, and will just revert the libddprof changes adding 32bit linux builds.

[taegyunkim]

Realized that this is indeed needed to cross compile x86_64-apple-darwin. What we built so far was another aarch64-apple-darwin with x86_64-apple-darwin name

[ivoanjo]

👍 LGTM