[Build] Remove unused build-<config/profiling/telemetry>.sh scripts

[danielsn]

What does this PR do?

Removes these scripts since we shouldn't use them anymore.

Motivation

We have a better way of building FFI now.

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: 2025-06-05 20:18:28

Comparing candidate commit 6de2323 in PR branch dsn/remove-sh-builders with baseline commit de39cc6 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	6de2323	1749154014	dsn/remove-sh-builders

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	1.284µs	3.282µs ± 1.453µs	3.049µs ± 0.025µs	3.073µs	3.733µs	14.538µs	14.891µs	388.33%	7.303	54.620	44.15%	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	[3.081µs; 3.483µs] or [-6.134%; +6.134%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	6de2323	1749154014	dsn/remove-sh-builders

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	2.315µs	2.369µs ± 0.016µs	2.368µs ± 0.005µs	2.375µs	2.399µs	2.408µs	2.410µs	1.81%	-0.453	2.360	0.66%	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	[2.367µs; 2.371µs] or [-0.092%; +0.092%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	6de2323	1749154014	dsn/remove-sh-builders

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	72.057ms	72.818ms ± 0.274ms	72.877ms ± 0.070ms	72.947ms	73.164ms	73.269ms	73.362ms	0.66%	-1.394	1.491	0.38%	0.019ms	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	[72.780ms; 72.856ms] or [-0.052%; +0.052%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	6de2323	1749154014	dsn/remove-sh-builders

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	34.090µs	34.776µs ± 1.128µs	34.266µs ± 0.066µs	34.363µs	37.210µs	37.241µs	37.840µs	10.43%	1.695	0.927	3.23%	0.080µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[34.620µs; 34.932µs] or [-0.449%; +0.449%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	6de2323	1749154014	dsn/remove-sh-builders

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	88.768µs	89.188µs ± 0.158µs	89.187µs ± 0.067µs	89.252µs	89.348µs	89.518µs	90.649µs	1.64%	4.078	36.014	0.18%	0.011µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[89.166µs; 89.210µs] 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	6de2323	1749154014	dsn/remove-sh-builders

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	4.989µs	5.068µs ± 0.045µs	5.080µs ± 0.029µs	5.100µs	5.138µs	5.142µs	5.144µs	1.27%	-0.123	-1.225	0.88%	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	[5.062µs; 5.074µs] or [-0.122%; +0.122%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	6de2323	1749154014	dsn/remove-sh-builders

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	8.136ms	8.157ms ± 0.011ms	8.155ms ± 0.006ms	8.162ms	8.175ms	8.187ms	8.233ms	0.96%	2.123	10.827	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	[8.155ms; 8.158ms] or [-0.019%; +0.019%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	6de2323	1749154014	dsn/remove-sh-builders

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	243.251ns	254.864ns ± 12.877ns	249.386ns ± 4.888ns	260.539ns	286.312ns	291.088ns	293.895ns	17.85%	1.516	1.396	5.04%	0.911ns	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	[253.080ns; 256.649ns] or [-0.700%; +0.700%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	6de2323	1749154014	dsn/remove-sh-builders

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	150.715µs	151.159µs ± 0.428µs	151.072µs ± 0.126µs	151.247µs	151.605µs	152.124µs	155.101µs	2.67%	6.260	50.474	0.28%	0.030µs	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	[151.099µs; 151.218µs] or [-0.039%; +0.039%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	6de2323	1749154014	dsn/remove-sh-builders

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	17.661µs	25.469µs ± 9.638µs	17.902µs ± 0.131µs	33.773µs	42.103µs	43.778µs	68.928µs	285.04%	1.130	1.657	37.75%	0.682µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.133µs; 26.804µs] or [-5.245%; +5.245%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	6de2323	1749154014	dsn/remove-sh-builders

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	3.912µs ± 0.003µs	3.911µs ± 0.002µs	3.913µs	3.918µs	3.919µs	3.920µs	0.22%	-0.308	5.345	0.08%	0.000µs	1	200
credit_card/is_card_number/	throughput	255120010.169op/s	255646967.218op/s ± 201988.568op/s	255674739.340op/s ± 108485.452op/s	255767784.857op/s	255883079.243op/s	255970688.284op/s	256835624.397op/s	0.45%	0.325	5.434	0.08%	14282.749op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	76.681µs	78.458µs ± 0.722µs	78.390µs ± 0.460µs	78.880µs	79.631µs	80.633µs	80.774µs	3.04%	0.629	0.831	0.92%	0.051µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12380173.462op/s	12746775.450op/s ± 116698.862op/s	12756672.932op/s ± 75280.578op/s	12829237.638op/s	12924080.673op/s	12973989.292op/s	13041034.839op/s	2.23%	-0.563	0.707	0.91%	8251.856op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	69.869µs	71.193µs ± 0.635µs	71.166µs ± 0.457µs	71.656µs	72.242µs	72.744µs	72.894µs	2.43%	0.267	-0.447	0.89%	0.045µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13718627.639op/s	14047528.952op/s ± 124960.009op/s	14051556.581op/s ± 89667.563op/s	14138565.461op/s	14239851.312op/s	14270998.131op/s	14312503.464op/s	1.86%	-0.228	-0.486	0.89%	8836.007op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.893µs	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.914µs	3.918µs	3.919µs	3.921µs	0.23%	-0.636	5.894	0.08%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	255046596.125op/s	255616909.055op/s ± 208452.061op/s	255642914.939op/s ± 128636.799op/s	255750830.478op/s	255869438.027op/s	255929205.423op/s	256894404.846op/s	0.49%	0.654	6.005	0.08%	14739.787op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	66.897µs	68.287µs ± 0.726µs	68.251µs ± 0.514µs	68.726µs	69.409µs	69.846µs	71.877µs	5.31%	0.794	1.926	1.06%	0.051µs	1	200
credit_card/is_card_number/378282246310005	throughput	13912705.063op/s	14645690.218op/s ± 154587.541op/s	14651698.502op/s ± 110077.440op/s	14770951.172op/s	14869141.221op/s	14916052.688op/s	14948414.243op/s	2.03%	-0.695	1.472	1.05%	10930.990op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.136µs	52.198µs ± 0.030µs	52.198µs ± 0.020µs	52.215µs	52.253µs	52.283µs	52.284µs	0.17%	0.491	0.158	0.06%	0.002µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19126153.920op/s	19157933.486op/s ± 10941.473op/s	19157762.881op/s ± 7459.911op/s	19166838.016op/s	19174204.655op/s	19177176.936op/s	19180549.005op/s	0.12%	-0.488	0.152	0.06%	773.679op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.027µs	6.033µs ± 0.003µs	6.033µs ± 0.002µs	6.035µs	6.039µs	6.040µs	6.042µs	0.15%	0.344	-0.461	0.05%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	165508953.016op/s	165749558.091op/s ± 86953.970op/s	165758247.450op/s ± 60556.272op/s	165815382.634op/s	165881329.030op/s	165899600.448op/s	165931308.244op/s	0.10%	-0.342	-0.463	0.05%	6148.574op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.893µs	3.911µs ± 0.003µs	3.911µs ± 0.002µs	3.913µs	3.915µs	3.917µs	3.918µs	0.17%	-1.636	12.377	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255230146.823op/s	255670230.513op/s ± 170285.322op/s	255667031.736op/s ± 98252.831op/s	255768661.100op/s	255904007.955op/s	256007385.316op/s	256901915.612op/s	0.48%	1.659	12.565	0.07%	12040.991op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.063µs	64.424µs ± 0.152µs	64.402µs ± 0.087µs	64.488µs	64.709µs	64.875µs	64.945µs	0.84%	0.706	0.632	0.24%	0.011µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15397603.126op/s	15522251.458op/s ± 36561.686op/s	15527354.496op/s ± 20921.056op/s	15548246.108op/s	15571979.637op/s	15589464.597op/s	15609748.288op/s	0.53%	-0.691	0.605	0.23%	2585.302op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	57.792µs	58.054µs ± 0.142µs	58.023µs ± 0.080µs	58.130µs	58.368µs	58.428µs	58.583µs	0.97%	1.045	1.070	0.24%	0.010µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	17069771.457op/s	17225296.498op/s ± 42052.152op/s	17234532.052op/s ± 23745.023op/s	17252699.568op/s	17280958.028op/s	17288794.299op/s	17303545.496op/s	0.40%	-1.031	1.032	0.24%	2973.536op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.894µs	3.911µs ± 0.003µs	3.911µs ± 0.002µs	3.913µs	3.915µs	3.917µs	3.918µs	0.18%	-1.257	10.406	0.06%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255237968.230op/s	255687297.334op/s ± 163797.859op/s	255689273.843op/s ± 105692.163op/s	255796787.109op/s	255875469.175op/s	255946717.791op/s	256827317.829op/s	0.45%	1.278	10.562	0.06%	11582.258op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	54.582µs	54.840µs ± 0.198µs	54.787µs ± 0.112µs	54.937µs	55.216µs	55.420µs	55.814µs	1.88%	1.646	3.986	0.36%	0.014µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17916611.391op/s	18235047.662op/s ± 65513.498op/s	18252656.265op/s ± 37162.096op/s	18281588.653op/s	18305056.589op/s	18320128.398op/s	18321113.251op/s	0.38%	-1.611	3.789	0.36%	4632.504op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	52.146µs	52.209µs ± 0.036µs	52.203µs ± 0.023µs	52.227µs	52.276µs	52.306µs	52.408µs	0.39%	1.355	3.871	0.07%	0.003µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19081039.261op/s	19153960.090op/s ± 13373.995op/s	19156087.544op/s ± 8308.125op/s	19163905.742op/s	19171014.002op/s	19173262.432op/s	19176918.661op/s	0.11%	-1.347	3.821	0.07%	945.684op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.026µs	6.035µs ± 0.004µs	6.034µs ± 0.003µs	6.037µs	6.042µs	6.046µs	6.051µs	0.28%	0.815	0.605	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	165265185.334op/s	165713392.220op/s ± 118751.859op/s	165734468.642op/s ± 77840.163op/s	165800895.328op/s	165864470.710op/s	165889417.053op/s	165938276.366op/s	0.12%	-0.810	0.592	0.07%	8397.024op/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	[3.911µs; 3.912µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/	throughput	[255618973.545op/s; 255674960.891op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[78.358µs; 78.558µs] or [-0.128%; +0.128%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12730602.110op/s; 12762948.790op/s] or [-0.127%; +0.127%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[71.105µs; 71.280µs] or [-0.124%; +0.124%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14030210.696op/s; 14064847.207op/s] or [-0.123%; +0.123%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255588019.604op/s; 255645798.506op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[68.186µs; 68.388µs] or [-0.147%; +0.147%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14624265.871op/s; 14667114.564op/s] or [-0.146%; +0.146%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.194µs; 52.202µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19156417.103op/s; 19159449.869op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.033µs; 6.034µs] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[165737507.107op/s; 165761609.075op/s] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.911µs; 3.912µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255646630.605op/s; 255693830.421op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[64.403µs; 64.445µs] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15517184.360op/s; 15527318.556op/s] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[58.035µs; 58.074µs] or [-0.034%; +0.034%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17219468.474op/s; 17231124.522op/s] or [-0.034%; +0.034%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.911µs; 3.911µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255664596.527op/s; 255709998.142op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[54.813µs; 54.868µs] or [-0.050%; +0.050%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18225968.121op/s; 18244127.202op/s] or [-0.050%; +0.050%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.203µs; 52.214µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19152106.583op/s; 19155813.597op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.034µs; 6.035µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[165696934.354op/s; 165729850.085op/s] or [-0.010%; +0.010%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	6de2323	1749154014	dsn/remove-sh-builders

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	532.119µs	532.982µs ± 0.494µs	532.903µs ± 0.279µs	533.209µs	533.751µs	534.757µs	535.851µs	0.55%	2.035	8.045	0.09%	0.035µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1866188.776op/s	1876239.132op/s ± 1734.778op/s	1876513.180op/s ± 983.580op/s	1877422.790op/s	1878281.254op/s	1878600.771op/s	1879279.714op/s	0.15%	-2.019	7.935	0.09%	122.667op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	381.223µs	381.824µs ± 0.258µs	381.803µs ± 0.157µs	381.957µs	382.337µs	382.551µs	382.766µs	0.25%	0.658	0.841	0.07%	0.018µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2612563.135op/s	2619008.484op/s ± 1766.112op/s	2619148.630op/s ± 1075.965op/s	2620243.770op/s	2621577.972op/s	2622601.393op/s	2623138.085op/s	0.15%	-0.653	0.832	0.07%	124.883op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	188.752µs	189.334µs ± 0.241µs	189.315µs ± 0.167µs	189.495µs	189.786µs	189.855µs	190.072µs	0.40%	0.362	-0.165	0.13%	0.017µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5261162.061op/s	5281675.154op/s ± 6709.803op/s	5282199.476op/s ± 4647.463op/s	5286505.020op/s	5291278.111op/s	5294725.321op/s	5297959.987op/s	0.30%	-0.355	-0.170	0.13%	474.455op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.566µs	37.659µs ± 0.047µs	37.651µs ± 0.032µs	37.690µs	37.740µs	37.778µs	37.811µs	0.43%	0.655	0.142	0.12%	0.003µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26447127.341op/s	26554176.753op/s ± 32923.465op/s	26559665.267op/s ± 22594.598op/s	26579425.339op/s	26596869.766op/s	26613758.267op/s	26619819.984op/s	0.23%	-0.648	0.129	0.12%	2328.041op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	44.914µs	45.093µs ± 0.196µs	45.024µs ± 0.106µs	45.255µs	45.345µs	45.410µs	46.543µs	3.37%	2.199	12.878	0.43%	0.014µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21485333.634op/s	22176861.450op/s ± 95591.804op/s	22210390.391op/s ± 52294.949op/s	22260939.768op/s	22263406.501op/s	22264179.205op/s	22264535.835op/s	0.24%	-2.074	11.638	0.43%	6759.361op/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	[532.913µs; 533.050µs] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1875998.708op/s; 1876479.555op/s] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[381.788µs; 381.860µs] or [-0.009%; +0.009%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2618763.718op/s; 2619253.250op/s] or [-0.009%; +0.009%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[189.301µs; 189.368µs] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5280745.240op/s; 5282605.068op/s] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.652µs; 37.665µs] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26549613.877op/s; 26558739.628op/s] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.066µs; 45.120µs] or [-0.060%; +0.060%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[22163613.346op/s; 22190109.555op/s] or [-0.060%; +0.060%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	6de2323	1749154014	dsn/remove-sh-builders

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	204.364µs	204.983µs ± 0.424µs	204.906µs ± 0.312µs	205.286µs	205.756µs	206.077µs	206.137µs	0.60%	0.648	-0.347	0.21%	0.030µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4851152.227op/s	4878484.255op/s ± 10070.446op/s	4880292.369op/s ± 7422.266op/s	4886898.512op/s	4891783.342op/s	4892729.569op/s	4893220.020op/s	0.26%	-0.640	-0.362	0.21%	712.088op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.654µs	18.834µs ± 0.092µs	18.835µs ± 0.062µs	18.895µs	18.977µs	19.061µs	19.168µs	1.77%	0.428	0.352	0.49%	0.006µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	52170468.332op/s	53095835.733op/s ± 258135.368op/s	53093733.683op/s ± 175035.913op/s	53295045.212op/s	53480428.325op/s	53588760.765op/s	53607780.942op/s	0.97%	-0.397	0.282	0.48%	18252.927op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.749µs	10.827µs ± 0.025µs	10.824µs ± 0.016µs	10.844µs	10.870µs	10.891µs	10.925µs	0.93%	0.363	1.000	0.23%	0.002µs	1	200
normalization/normalize_name/normalize_name/good	throughput	91535035.559op/s	92359610.144op/s ± 216350.085op/s	92384616.251op/s ± 139113.263op/s	92501532.720op/s	92672115.220op/s	92852739.747op/s	93030786.799op/s	0.70%	-0.343	0.975	0.23%	15298.261op/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	[204.924µs; 205.041µs] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4877088.588op/s; 4879879.922op/s] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.822µs; 18.847µs] or [-0.068%; +0.068%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[53060060.654op/s; 53131610.813op/s] or [-0.067%; +0.067%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.824µs; 10.831µs] or [-0.032%; +0.032%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[92329626.103op/s; 92389594.185op/s] or [-0.032%; +0.032%]	None	None	None

Baseline

Omitted due to size.

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 70.98%. Comparing base (de39cc6) to head (6de2323).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1091      +/-   ##
==========================================
+ Coverage   70.95%   70.98%   +0.02%     
==========================================
  Files         334      334              
  Lines       50549    50549              
==========================================
+ Hits        35868    35882      +14     
+ Misses      14681    14667      -14     

Components	Coverage Δ
datadog-crashtracker	44.38% <ø> (ø)
datadog-crashtracker-ffi	6.03% <ø> (ø)
datadog-alloc	98.73% <ø> (ø)
data-pipeline	90.43% <ø> (ø)
data-pipeline-ffi	89.26% <ø> (ø)
ddcommon	79.07% <ø> (ø)
ddcommon-ffi	68.64% <ø> (ø)
ddtelemetry	60.56% <ø> (ø)
ddtelemetry-ffi	21.32% <ø> (ø)
dogstatsd-client	83.26% <ø> (ø)
datadog-ipc	82.58% <ø> (ø)
datadog-profiling	77.17% <ø> (ø)
datadog-profiling-ffi	62.12% <ø> (ø)
datadog-sidecar	42.32% <ø> (ø)
datdog-sidecar-ffi	10.36% <ø> (ø)
spawn-worker	55.35% <ø> (ø)
tinybytes	90.96% <ø> (ø)
datadog-trace-normalization	98.24% <ø> (ø)
datadog-trace-obfuscation	94.16% <ø> (ø)
datadog-trace-protobuf	77.10% <ø> (ø)
datadog-trace-utils	89.44% <ø> (ø)
datadog-log	66.15% <ø> (ø)

🚀 New features to boost your workflow:

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

[gleocadie]

build-profiling-ffi.sh is still used https://github.com/DataDog/libddprof-build/blob/main/.gitlab-ci.yml#L211

the file is still used as noted by gregorie

[paullegranddc]

Ok config and telemetry