chore: update action versions in workflow files

[ganeshnj]

What does this PR do?

Pins all the action versions to specific commit sha.

Motivation

Tags can be moved and we could end up using action versions which we don't intend to.

Additional Notes

I bumped the action versions to their minor versions.

How to test the change?

🤞 all actions pass

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2025-03-21 16:38:13

Comparing candidate commit 37794d5 in PR branch ganeshnj/chore/fix-action-version with baseline commit e8053aa 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	37794d5	1742574391	ganeshnj/chore/fix-action-version

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	246.606ns	254.727ns ± 10.279ns	249.705ns ± 1.674ns	255.420ns	279.098ns	281.701ns	282.258ns	13.04%	1.554	0.861	4.03%	0.727ns	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	[253.303ns; 256.152ns] or [-0.559%; +0.559%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	37794d5	1742574391	ganeshnj/chore/fix-action-version

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	3.897µs	3.913µs ± 0.002µs	3.913µs ± 0.001µs	3.914µs	3.916µs	3.917µs	3.919µs	0.15%	-2.115	13.579	0.06%	0.000µs	1	200
credit_card/is_card_number/	throughput	255160053.037op/s	255560649.459op/s ± 142071.918op/s	255546258.622op/s ± 57410.127op/s	255619516.551op/s	255790969.702op/s	255925304.992op/s	256596518.238op/s	0.41%	2.134	13.730	0.06%	10046.002op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	81.691µs	83.171µs ± 0.574µs	83.170µs ± 0.396µs	83.556µs	84.074µs	84.283µs	84.456µs	1.55%	-0.058	-0.526	0.69%	0.041µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	11840502.366op/s	12024054.540op/s ± 83069.547op/s	12023505.858op/s ± 57270.294op/s	12082177.882op/s	12164982.669op/s	12206863.942op/s	12241215.891op/s	1.81%	0.089	-0.514	0.69%	5873.904op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	78.805µs	79.627µs ± 0.342µs	79.611µs ± 0.249µs	79.879µs	80.198µs	80.279µs	80.550µs	1.18%	0.030	-0.502	0.43%	0.024µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	12414659.072op/s	12558833.305op/s ± 54003.612op/s	12561025.087op/s ± 39280.652op/s	12593796.652op/s	12646032.889op/s	12674239.661op/s	12689545.044op/s	1.02%	-0.010	-0.502	0.43%	3818.632op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.892µs	3.913µs ± 0.003µs	3.913µs ± 0.001µs	3.914µs	3.916µs	3.918µs	3.920µs	0.17%	-2.467	17.539	0.07%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	255132266.017op/s	255580651.191op/s ± 176305.566op/s	255568743.944op/s ± 85054.498op/s	255644699.501op/s	255841689.821op/s	255941097.068op/s	256967116.453op/s	0.55%	2.494	17.806	0.07%	12466.686op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	75.591µs	76.649µs ± 0.365µs	76.668µs ± 0.255µs	76.915µs	77.216µs	77.365µs	77.427µs	0.99%	-0.167	-0.445	0.47%	0.026µs	1	200
credit_card/is_card_number/378282246310005	throughput	12915393.818op/s	13046792.169op/s ± 62153.281op/s	13043278.745op/s ± 43455.888op/s	13089135.698op/s	13148701.863op/s	13188974.024op/s	13229034.681op/s	1.42%	0.189	-0.427	0.48%	4394.901op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	51.375µs	51.438µs ± 0.027µs	51.434µs ± 0.013µs	51.449µs	51.490µs	51.532µs	51.544µs	0.21%	1.006	2.256	0.05%	0.002µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19400915.644op/s	19440935.341op/s ± 10168.870op/s	19442436.777op/s ± 4861.046op/s	19446710.665op/s	19456516.825op/s	19461438.833op/s	19464632.762op/s	0.11%	-1.001	2.243	0.05%	719.048op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.028µs	6.038µs ± 0.005µs	6.037µs ± 0.002µs	6.039µs	6.046µs	6.052µs	6.076µs	0.65%	3.338	20.265	0.08%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	164570937.925op/s	165619595.064op/s ± 139685.010op/s	165636879.053op/s ± 57315.374op/s	165692195.281op/s	165780024.735op/s	165827200.678op/s	165882032.632op/s	0.15%	-3.309	20.008	0.08%	9877.222op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.898µs	3.914µs ± 0.003µs	3.914µs ± 0.001µs	3.915µs	3.919µs	3.920µs	3.932µs	0.45%	0.212	10.692	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254351566.208op/s	255489875.246op/s ± 189857.189op/s	255495578.962op/s ± 79694.649op/s	255577375.013op/s	255779770.977op/s	255927504.801op/s	256573336.610op/s	0.42%	-0.184	10.673	0.07%	13424.931op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	65.919µs	66.237µs ± 0.160µs	66.211µs ± 0.087µs	66.314µs	66.501µs	66.801µs	66.873µs	1.00%	1.210	2.430	0.24%	0.011µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	14953681.220op/s	15097311.432op/s ± 36384.975op/s	15103163.358op/s ± 19949.296op/s	15121066.670op/s	15143702.987op/s	15156580.212op/s	15170146.759op/s	0.44%	-1.189	2.354	0.24%	2572.806op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	59.435µs	59.586µs ± 0.080µs	59.581µs ± 0.055µs	59.638µs	59.741µs	59.774µs	59.796µs	0.36%	0.369	-0.348	0.13%	0.006µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	16723644.855op/s	16782428.195op/s ± 22499.157op/s	16783967.120op/s ± 15598.612op/s	16799463.257op/s	16816802.090op/s	16823675.421op/s	16825017.118op/s	0.24%	-0.363	-0.354	0.13%	1590.931op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.891µs	3.914µs ± 0.003µs	3.913µs ± 0.001µs	3.914µs	3.918µs	3.920µs	3.932µs	0.47%	-0.910	28.385	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254344555.275op/s	255518219.753op/s ± 181178.222op/s	255531057.721op/s ± 65363.936op/s	255594945.610op/s	255670864.300op/s	255809144.489op/s	256984994.932op/s	0.57%	0.973	28.621	0.07%	12811.235op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	56.210µs	56.597µs ± 0.167µs	56.585µs ± 0.119µs	56.707µs	56.887µs	56.961µs	57.009µs	0.75%	0.264	-0.630	0.29%	0.012µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17541124.771op/s	17668862.962op/s ± 52020.630op/s	17672465.425op/s ± 37119.249op/s	17709011.673op/s	17744811.773op/s	17762212.495op/s	17790298.217op/s	0.67%	-0.252	-0.636	0.29%	3678.414op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	51.337µs	51.420µs ± 0.036µs	51.420µs ± 0.019µs	51.437µs	51.472µs	51.496µs	51.657µs	0.46%	1.322	8.084	0.07%	0.003µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19358533.644op/s	19447821.864op/s ± 13672.369op/s	19447615.902op/s ± 7109.404op/s	19455352.398op/s	19468024.646op/s	19476347.224op/s	19478939.371op/s	0.16%	-1.304	7.958	0.07%	966.782op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.027µs	6.038µs ± 0.004µs	6.038µs ± 0.002µs	6.040µs	6.044µs	6.048µs	6.062µs	0.40%	1.727	10.575	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	164970582.569op/s	165615235.725op/s ± 110792.231op/s	165622977.035op/s ± 49986.736op/s	165668253.824op/s	165776176.640op/s	165876458.833op/s	165926772.119op/s	0.18%	-1.707	10.468	0.07%	7834.194op/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	[3.913µs; 3.913µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/	throughput	[255540959.657op/s; 255580339.260op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[83.091µs; 83.250µs] or [-0.096%; +0.096%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12012541.900op/s; 12035567.180op/s] or [-0.096%; +0.096%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[79.579µs; 79.674µs] or [-0.060%; +0.060%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[12551348.924op/s; 12566317.687op/s] or [-0.060%; +0.060%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255556216.936op/s; 255605085.447op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[76.598µs; 76.699µs] or [-0.066%; +0.066%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[13038178.322op/s; 13055406.016op/s] or [-0.066%; +0.066%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[51.434µs; 51.442µs] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19439526.034op/s; 19442344.649op/s] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.037µs; 6.039µs] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[165600236.065op/s; 165638954.063op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.914µs; 3.914µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255463562.865op/s; 255516187.626op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[66.215µs; 66.260µs] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15092268.824op/s; 15102354.040op/s] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[59.575µs; 59.597µs] or [-0.019%; +0.019%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[16779310.028op/s; 16785546.361op/s] or [-0.019%; +0.019%]	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	[255493110.194op/s; 255543329.312op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[56.574µs; 56.620µs] or [-0.041%; +0.041%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[17661653.403op/s; 17676072.521op/s] or [-0.041%; +0.041%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[51.415µs; 51.425µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19445927.006op/s; 19449716.723op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.038µs; 6.039µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[165599880.988op/s; 165630590.463op/s] or [-0.009%; +0.009%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	37794d5	1742574391	ganeshnj/chore/fix-action-version

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	68.003µs	68.191µs ± 0.319µs	68.152µs ± 0.048µs	68.209µs	68.322µs	68.604µs	72.424µs	6.27%	11.900	154.385	0.47%	0.023µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[68.147µs; 68.235µs] or [-0.065%; +0.065%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	37794d5	1742574391	ganeshnj/chore/fix-action-version

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	503.818µs	506.182µs ± 0.982µs	506.132µs ± 0.489µs	506.619µs	507.133µs	508.373µs	514.507µs	1.65%	3.874	28.895	0.19%	0.069µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1943607.943op/s	1975582.444op/s ± 3806.153op/s	1975770.468op/s ± 1909.285op/s	1977651.278op/s	1980053.284op/s	1981074.580op/s	1984842.201op/s	0.46%	-3.782	27.964	0.19%	269.136op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	453.977µs	454.966µs ± 0.388µs	454.941µs ± 0.278µs	455.212µs	455.595µs	456.033µs	456.457µs	0.33%	0.354	0.743	0.09%	0.027µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2190784.705op/s	2197967.670op/s ± 1875.042op/s	2198086.137op/s ± 1345.466op/s	2199442.595op/s	2200522.250op/s	2202110.182op/s	2202753.552op/s	0.21%	-0.347	0.731	0.09%	132.585op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	175.559µs	176.526µs ± 0.283µs	176.547µs ± 0.167µs	176.721µs	176.905µs	177.038µs	177.103µs	0.31%	-0.708	0.375	0.16%	0.020µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5646433.293op/s	5664912.237op/s ± 9096.929op/s	5664203.107op/s ± 5349.605op/s	5669054.365op/s	5683582.684op/s	5687810.121op/s	5696076.529op/s	0.56%	0.717	0.392	0.16%	643.250op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.609µs	37.721µs ± 0.054µs	37.718µs ± 0.036µs	37.755µs	37.817µs	37.871µs	37.925µs	0.55%	0.684	0.685	0.14%	0.004µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26367568.504op/s	26510327.438op/s ± 37818.809op/s	26512693.685op/s ± 25372.320op/s	26537500.016op/s	26563876.614op/s	26580242.718op/s	26589610.388op/s	0.29%	-0.675	0.662	0.14%	2674.194op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	48.187µs	48.304µs ± 0.053µs	48.294µs ± 0.024µs	48.327µs	48.378µs	48.432µs	48.687µs	0.81%	2.716	15.503	0.11%	0.004µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	20539239.049op/s	20702416.122op/s ± 22492.733op/s	20706393.924op/s ± 10387.395op/s	20714740.951op/s	20730101.214op/s	20737050.784op/s	20752382.338op/s	0.22%	-2.683	15.215	0.11%	1590.476op/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	[506.046µs; 506.318µs] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1975054.948op/s; 1976109.940op/s] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[454.912µs; 455.020µs] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2197707.807op/s; 2198227.533op/s] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[176.486µs; 176.565µs] or [-0.022%; +0.022%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5663651.490op/s; 5666172.984op/s] or [-0.022%; +0.022%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.714µs; 37.729µs] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26505086.115op/s; 26515568.761op/s] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[48.296µs; 48.311µs] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[20699298.845op/s; 20705533.398op/s] or [-0.015%; +0.015%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	37794d5	1742574391	ganeshnj/chore/fix-action-version

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	4.940µs	5.008µs ± 0.040µs	5.013µs ± 0.038µs	5.038µs	5.068µs	5.071µs	5.072µs	1.17%	-0.154	-1.292	0.79%	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	[5.003µs; 5.014µs] or [-0.110%; +0.110%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	37794d5	1742574391	ganeshnj/chore/fix-action-version

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	6.015ms	6.027ms ± 0.015ms	6.025ms ± 0.003ms	6.028ms	6.036ms	6.065ms	6.174ms	2.48%	7.716	67.592	0.25%	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	[6.025ms; 6.029ms] or [-0.035%; +0.035%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	37794d5	1742574391	ganeshnj/chore/fix-action-version

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	1.179µs	3.173µs ± 1.411µs	2.981µs ± 0.028µs	3.007µs	3.623µs	13.815µs	14.826µs	397.42%	7.366	55.323	44.35%	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	[2.977µs; 3.368µs] or [-6.162%; +6.162%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	37794d5	1742574391	ganeshnj/chore/fix-action-version

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	17.714µs	26.105µs ± 11.090µs	17.881µs ± 0.111µs	35.006µs	45.281µs	47.065µs	86.786µs	385.35%	1.594	4.500	42.38%	0.784µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.568µs; 27.642µs] or [-5.888%; +5.888%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	37794d5	1742574391	ganeshnj/chore/fix-action-version

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	148.875µs	149.683µs ± 0.400µs	149.619µs ± 0.174µs	149.830µs	150.131µs	150.794µs	152.700µs	2.06%	3.809	24.458	0.27%	0.028µs	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	[149.628µs; 149.738µs] or [-0.037%; +0.037%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	37794d5	1742574391	ganeshnj/chore/fix-action-version

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	54.572ms	54.843ms ± 0.189ms	54.816ms ± 0.079ms	54.883ms	55.177ms	55.658ms	55.986ms	2.14%	2.696	10.404	0.34%	0.013ms	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	[54.817ms; 54.869ms] or [-0.048%; +0.048%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	37794d5	1742574391	ganeshnj/chore/fix-action-version

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	2.400µs	2.423µs ± 0.015µs	2.421µs ± 0.011µs	2.431µs	2.453µs	2.456µs	2.457µs	1.49%	0.683	-0.475	0.61%	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	[2.421µs; 2.425µs] or [-0.085%; +0.085%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	37794d5	1742574391	ganeshnj/chore/fix-action-version

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	208.495µs	209.046µs ± 0.179µs	209.024µs ± 0.110µs	209.151µs	209.380µs	209.510µs	209.531µs	0.24%	0.271	0.368	0.09%	0.013µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4772552.731op/s	4783649.566op/s ± 4090.035op/s	4784138.031op/s ± 2511.638op/s	4786413.605op/s	4789847.280op/s	4792202.660op/s	4796274.254op/s	0.25%	-0.265	0.366	0.09%	289.209op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.244µs	18.332µs ± 0.029µs	18.329µs ± 0.017µs	18.351µs	18.379µs	18.399µs	18.437µs	0.59%	-0.195	1.201	0.16%	0.002µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	54238709.574op/s	54549977.504op/s ± 85847.987op/s	54557087.000op/s ± 50872.592op/s	54588908.818op/s	54695808.686op/s	54790638.598op/s	54811531.241op/s	0.47%	0.210	1.200	0.16%	6070.369op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.656µs	10.716µs ± 0.029µs	10.714µs ± 0.019µs	10.734µs	10.770µs	10.787µs	10.799µs	0.80%	0.326	-0.137	0.27%	0.002µs	1	200
normalization/normalize_name/normalize_name/good	throughput	92601364.659op/s	93320743.086op/s ± 256267.350op/s	93340144.815op/s ± 163545.345op/s	93488087.287op/s	93734872.878op/s	93801095.443op/s	93842827.701op/s	0.54%	-0.312	-0.151	0.27%	18120.838op/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	[209.021µs; 209.070µs] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4783082.726op/s; 4784216.405op/s] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.328µs; 18.336µs] or [-0.022%; +0.022%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[54538079.799op/s; 54561875.210op/s] or [-0.022%; +0.022%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.712µs; 10.720µs] or [-0.038%; +0.038%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[93285226.896op/s; 93356259.276op/s] or [-0.038%; +0.038%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	37794d5	1742574391	ganeshnj/chore/fix-action-version

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
redis/obfuscate_redis_string	execution_time	33.794µs	34.362µs ± 0.686µs	33.981µs ± 0.101µs	34.889µs	35.593µs	35.832µs	36.911µs	8.62%	1.176	0.017	1.99%	0.049µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[34.267µs; 34.457µs] or [-0.277%; +0.277%]	None	None	None

Baseline

Omitted due to size.

[gleocadie]

LGTM

[r1viollet]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	77.23 MB	77.23 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so.debug	23.83 MB	23.83 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	7.69 MB	7.69 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	71.53 MB	71.53 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug	22.42 MB	22.42 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	7.62 MB	7.62 MB	0% (0 B) 👌

i686-alpine-linux-musl

Artifact	Baseline	Commit	Change
/i686-alpine-linux-musl/lib/libdatadog_profiling.a	66.56 MB	66.56 MB	0% (0 B) 👌
/i686-alpine-linux-musl/lib/libdatadog_profiling.so	8.18 MB	8.18 MB	0% (0 B) 👌
/i686-alpine-linux-musl/lib/libdatadog_profiling.so.debug	23.01 MB	23.01 MB	0% (0 B) 👌

i686-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/i686-unknown-linux-gnu/lib/libdatadog_profiling.a	67.45 MB	67.45 MB	0% (0 B) 👌
/i686-unknown-linux-gnu/lib/libdatadog_profiling.so	8.07 MB	8.07 MB	0% (0 B) 👌
/i686-unknown-linux-gnu/lib/libdatadog_profiling.so.debug	20.62 MB	20.62 MB	0% (0 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	16.59 MB	16.59 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	55.10 KB	55.10 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	111.20 MB	111.20 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	625.28 MB	625.28 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	55.10 KB	55.10 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	15.85 MB	15.85 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	26.38 MB	26.38 MB	0% (0 B) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	14.03 MB	14.03 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	55.94 KB	55.94 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	113.16 MB	113.16 MB	-0% (-8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	617.99 MB	617.99 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	55.94 KB	55.94 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	16.51 MB	16.51 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	24.35 MB	24.35 MB	0% (0 B) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	66.56 MB	66.56 MB	0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	8.18 MB	8.18 MB	0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so.debug	23.01 MB	23.01 MB	0% (0 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	67.45 MB	67.45 MB	0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	8.07 MB	8.07 MB	0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug	20.62 MB	20.62 MB	0% (0 B) 👌