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wip: init commit of clippy annotation reporter #1049

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@ekump ekump commented May 2, 2025

DO NOT MERGE

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Benchmarks

Comparison

Benchmark execution time: 2025-05-10 02:27:34

Comparing candidate commit 805bdd0 in PR branch ekump/clippy-annotation-action with baseline commit 6058321 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 805bdd0 1746843337 ekump/clippy-annotation-action
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 253.564ns 262.860ns ± 11.216ns 257.513ns ± 2.583ns 265.150ns 286.780ns 295.795ns 299.354ns 16.25% 1.612 1.553 4.26% 0.793ns 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 [261.306ns; 264.415ns] or [-0.591%; +0.591%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 805bdd0 1746843337 ekump/clippy-annotation-action
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 3.914µs 3.918µs 3.921µs 3.923µs 0.29% 0.147 3.835 0.09% 0.000µs 1 200
credit_card/is_card_number/ throughput 254933237.302op/s 255637309.854op/s ± 217975.928op/s 255674931.085op/s ± 122290.459op/s 255785515.494op/s 255872475.960op/s 255912668.438op/s 256799332.261op/s 0.44% -0.132 3.891 0.09% 15413.226op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 81.951µs 82.437µs ± 0.296µs 82.365µs ± 0.143µs 82.571µs 82.896µs 83.329µs 84.390µs 2.46% 2.352 10.566 0.36% 0.021µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 11849813.137op/s 12130625.524op/s ± 43185.917op/s 12141005.644op/s ± 21019.963op/s 12159769.706op/s 12178827.474op/s 12188618.754op/s 12202478.323op/s 0.51% -2.279 9.970 0.36% 3053.705op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 75.994µs 76.551µs ± 0.282µs 76.503µs ± 0.201µs 76.740µs 77.056µs 77.331µs 77.447µs 1.23% 0.623 0.046 0.37% 0.020µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 12912057.259op/s 13063337.826op/s ± 48031.223op/s 13071373.299op/s ± 34449.624op/s 13097633.589op/s 13130713.724op/s 13141385.983op/s 13158994.404op/s 0.67% -0.604 0.010 0.37% 3396.320op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.892µs 3.911µs ± 0.003µs 3.911µs ± 0.002µs 3.913µs 3.916µs 3.920µs 3.933µs 0.58% 0.966 13.645 0.09% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 254230623.267op/s 255677340.795op/s ± 220361.837op/s 255707990.876op/s ± 102647.225op/s 255801578.808op/s 255911263.705op/s 256008593.020op/s 256947273.455op/s 0.48% -0.928 13.587 0.09% 15581.935op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 73.189µs 73.734µs ± 0.260µs 73.696µs ± 0.145µs 73.875µs 74.223µs 74.548µs 74.634µs 1.27% 0.835 1.242 0.35% 0.018µs 1 200
credit_card/is_card_number/378282246310005 throughput 13398694.002op/s 13562401.441op/s ± 47765.678op/s 13569201.999op/s ± 26677.090op/s 13592115.554op/s 13633134.242op/s 13651205.106op/s 13663262.271op/s 0.69% -0.808 1.183 0.35% 3377.543op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 51.869µs 52.194µs ± 0.282µs 52.121µs ± 0.076µs 52.224µs 52.683µs 53.215µs 54.682µs 4.91% 4.506 31.056 0.54% 0.020µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 18287678.905op/s 19159777.516op/s ± 101242.073op/s 19186284.685op/s ± 28143.065op/s 19211229.448op/s 19238685.279op/s 19273620.685op/s 19279336.397op/s 0.48% -4.308 28.555 0.53% 7158.896op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.433µs 6.638µs ± 0.083µs 6.636µs ± 0.061µs 6.704µs 6.771µs 6.807µs 6.846µs 3.17% -0.029 -0.579 1.25% 0.006µs 1 200
credit_card/is_card_number/x371413321323331 throughput 146079755.853op/s 150664430.903op/s ± 1892846.293op/s 150703765.610op/s ± 1384832.632op/s 151954061.750op/s 153663326.074op/s 154404027.793op/s 155443886.929op/s 3.15% 0.082 -0.574 1.25% 133844.445op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.894µs 3.911µs ± 0.003µs 3.911µs ± 0.002µs 3.913µs 3.916µs 3.919µs 3.921µs 0.27% -0.249 5.566 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 255006942.133op/s 255667542.348op/s ± 194266.029op/s 255701099.515op/s ± 112753.158op/s 255785662.619op/s 255892428.548op/s 255989176.399op/s 256805547.884op/s 0.43% 0.266 5.647 0.08% 13736.683op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 63.494µs 63.816µs ± 0.116µs 63.796µs ± 0.057µs 63.862µs 64.069µs 64.223µs 64.294µs 0.78% 1.562 3.769 0.18% 0.008µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15553549.335op/s 15670070.349op/s ± 28423.782op/s 15674938.910op/s ± 13902.402op/s 15687664.398op/s 15702451.712op/s 15713718.044op/s 15749541.759op/s 0.48% -1.544 3.713 0.18% 2009.865op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 57.402µs 57.585µs ± 0.104µs 57.570µs ± 0.066µs 57.644µs 57.771µs 57.895µs 57.957µs 0.67% 0.845 0.788 0.18% 0.007µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 17254213.970op/s 17365824.575op/s ± 31344.332op/s 17370172.833op/s ± 19905.883op/s 17387869.353op/s 17407933.319op/s 17416190.493op/s 17421076.018op/s 0.29% -0.834 0.758 0.18% 2216.379op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.893µs 3.911µs ± 0.003µs 3.911µs ± 0.002µs 3.913µs 3.916µs 3.918µs 3.922µs 0.30% -0.394 8.338 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 254942133.520op/s 255676545.257op/s ± 182706.947op/s 255706622.815op/s ± 102591.453op/s 255798738.323op/s 255868018.301op/s 255905012.432op/s 256841790.178op/s 0.44% 0.416 8.450 0.07% 12919.332op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 54.554µs 54.682µs ± 0.161µs 54.632µs ± 0.035µs 54.675µs 55.077µs 55.356µs 55.441µs 1.48% 2.695 7.054 0.29% 0.011µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 18037237.137op/s 18287751.951op/s ± 53381.577op/s 18304345.452op/s ± 11595.997op/s 18314101.859op/s 18324442.791op/s 18329943.356op/s 18330626.811op/s 0.14% -2.680 6.951 0.29% 3774.647op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 51.883µs 52.199µs ± 0.263µs 52.106µs ± 0.077µs 52.222µs 52.715µs 53.180µs 53.532µs 2.74% 2.150 5.443 0.50% 0.019µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 18680584.480op/s 19157773.302op/s ± 95665.951op/s 19191624.795op/s ± 28512.149op/s 19213814.252op/s 19242375.463op/s 19258160.465op/s 19274174.734op/s 0.43% -2.109 5.180 0.50% 6764.604op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.437µs 6.634µs ± 0.079µs 6.632µs ± 0.053µs 6.691µs 6.760µs 6.790µs 6.817µs 2.80% -0.076 -0.608 1.19% 0.006µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 146681455.196op/s 150760642.000op/s ± 1804295.640op/s 150783343.816op/s ± 1193460.154op/s 151866259.833op/s 153679871.243op/s 154524994.526op/s 155347645.839op/s 3.03% 0.126 -0.594 1.19% 127582.968op/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 [-0.012%; +0.012%] None None None
credit_card/is_card_number/ throughput [255607100.487op/s; 255667519.221op/s] or [-0.012%; +0.012%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [82.396µs; 82.478µs] or [-0.050%; +0.050%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12124640.371op/s; 12136610.677op/s] or [-0.049%; +0.049%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [76.512µs; 76.590µs] or [-0.051%; +0.051%] None None None
credit_card/is_card_number/ 378282246310005 throughput [13056681.161op/s; 13069994.492op/s] or [-0.051%; +0.051%] None None None
credit_card/is_card_number/37828224631 execution_time [3.911µs; 3.912µs] or [-0.012%; +0.012%] None None None
credit_card/is_card_number/37828224631 throughput [255646800.763op/s; 255707880.826op/s] or [-0.012%; +0.012%] None None None
credit_card/is_card_number/378282246310005 execution_time [73.698µs; 73.770µs] or [-0.049%; +0.049%] None None None
credit_card/is_card_number/378282246310005 throughput [13555781.578op/s; 13569021.305op/s] or [-0.049%; +0.049%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [52.155µs; 52.233µs] or [-0.075%; +0.075%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [19145746.338op/s; 19173808.693op/s] or [-0.073%; +0.073%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.627µs; 6.650µs] or [-0.174%; +0.174%] None None None
credit_card/is_card_number/x371413321323331 throughput [150402100.612op/s; 150926761.195op/s] or [-0.174%; +0.174%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.911µs; 3.912µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/ throughput [255640618.945op/s; 255694465.751op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [63.800µs; 63.832µs] or [-0.025%; +0.025%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15666131.087op/s; 15674009.612op/s] or [-0.025%; +0.025%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [57.570µs; 57.599µs] or [-0.025%; +0.025%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [17361480.552op/s; 17370168.598op/s] or [-0.025%; +0.025%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.911µs; 3.912µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255651223.831op/s; 255701866.683op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [54.660µs; 54.704µs] or [-0.041%; +0.041%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [18280353.778op/s; 18295150.124op/s] or [-0.040%; +0.040%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [52.163µs; 52.236µs] or [-0.070%; +0.070%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [19144514.921op/s; 19171031.683op/s] or [-0.069%; +0.069%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.623µs; 6.645µs] or [-0.166%; +0.166%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [150510583.978op/s; 151010700.023op/s] or [-0.166%; +0.166%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 805bdd0 1746843337 ekump/clippy-annotation-action
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 5.961ms 5.974ms ± 0.011ms 5.972ms ± 0.003ms 5.976ms 5.983ms 6.021ms 6.069ms 1.62% 5.142 36.341 0.18% 0.001ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
concentrator/add_spans_to_concentrator execution_time [5.972ms; 5.975ms] or [-0.025%; +0.025%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 805bdd0 1746843337 ekump/clippy-annotation-action
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 72.535ms 72.971ms ± 0.279ms 72.886ms ± 0.177ms 73.139ms 73.453ms 73.691ms 74.070ms 1.62% 0.941 0.567 0.38% 0.020ms 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 [72.932ms; 73.010ms] or [-0.053%; +0.053%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 805bdd0 1746843337 ekump/clippy-annotation-action
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 33.320µs 34.040µs ± 0.817µs 33.582µs ± 0.193µs 35.059µs 35.424µs 35.532µs 36.628µs 9.07% 0.937 -0.787 2.40% 0.058µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [33.927µs; 34.154µs] or [-0.333%; +0.333%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 805bdd0 1746843337 ekump/clippy-annotation-action
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 534.830µs 535.800µs ± 0.593µs 535.711µs ± 0.277µs 536.038µs 536.784µs 537.185µs 540.965µs 0.98% 3.642 27.426 0.11% 0.042µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1848547.824op/s 1866370.807op/s ± 2058.501op/s 1866676.886op/s ± 964.498op/s 1867603.039op/s 1868586.736op/s 1869636.973op/s 1869752.389op/s 0.16% -3.589 26.811 0.11% 145.558op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 450.302µs 450.981µs ± 0.314µs 450.935µs ± 0.198µs 451.160µs 451.567µs 451.828µs 452.093µs 0.26% 0.707 0.787 0.07% 0.022µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2211935.738op/s 2217389.750op/s ± 1543.334op/s 2217613.283op/s ± 975.015op/s 2218459.469op/s 2219604.359op/s 2220119.007op/s 2220731.864op/s 0.14% -0.702 0.775 0.07% 109.130op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 184.936µs 185.598µs ± 0.298µs 185.622µs ± 0.184µs 185.778µs 186.093µs 186.402µs 186.577µs 0.51% 0.304 0.360 0.16% 0.021µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5359726.772op/s 5387995.224op/s ± 8654.137op/s 5387292.092op/s ± 5331.129op/s 5394293.162op/s 5401696.411op/s 5406366.175op/s 5407281.147op/s 0.37% -0.293 0.343 0.16% 611.940op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 39.919µs 40.103µs ± 0.058µs 40.103µs ± 0.034µs 40.137µs 40.197µs 40.226µs 40.254µs 0.38% -0.161 0.256 0.14% 0.004µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 24842396.911op/s 24936134.965op/s ± 35802.543op/s 24935731.828op/s ± 21406.255op/s 24957398.091op/s 24998137.464op/s 25020875.106op/s 25050956.593op/s 0.46% 0.171 0.262 0.14% 2531.622op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 46.566µs 46.659µs ± 0.055µs 46.656µs ± 0.034µs 46.688µs 46.761µs 46.824µs 46.892µs 0.51% 0.901 1.510 0.12% 0.004µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21325461.283op/s 21431929.988op/s ± 25461.702op/s 21433609.875op/s ± 15748.823op/s 21449867.653op/s 21468179.618op/s 21474297.481op/s 21475097.935op/s 0.19% -0.891 1.479 0.12% 1800.414op/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 [535.718µs; 535.882µs] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [1866085.518op/s; 1866656.095op/s] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [450.937µs; 451.024µs] or [-0.010%; +0.010%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2217175.859op/s; 2217603.641op/s] or [-0.010%; +0.010%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [185.557µs; 185.640µs] or [-0.022%; +0.022%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5386795.844op/s; 5389194.604op/s] or [-0.022%; +0.022%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [40.095µs; 40.111µs] or [-0.020%; +0.020%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [24931173.077op/s; 24941096.853op/s] or [-0.020%; +0.020%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [46.652µs; 46.667µs] or [-0.016%; +0.016%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21428401.240op/s; 21435458.735op/s] or [-0.016%; +0.016%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 805bdd0 1746843337 ekump/clippy-annotation-action
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 147.957µs 148.681µs ± 0.394µs 148.604µs ± 0.158µs 148.781µs 149.210µs 150.088µs 151.366µs 1.86% 3.312 17.759 0.26% 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 [148.627µs; 148.736µs] or [-0.037%; +0.037%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 805bdd0 1746843337 ekump/clippy-annotation-action
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 2.375µs 2.403µs ± 0.025µs 2.396µs ± 0.009µs 2.407µs 2.475µs 2.486µs 2.490µs 3.92% 2.188 4.439 1.02% 0.002µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
tags/replace_trace_tags execution_time [2.399µs; 2.406µs] or [-0.142%; +0.142%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 805bdd0 1746843337 ekump/clippy-annotation-action
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 215.311µs 215.803µs ± 0.183µs 215.768µs ± 0.117µs 215.932µs 216.097µs 216.277µs 216.457µs 0.32% 0.539 0.488 0.08% 0.013µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 4619858.263op/s 4633849.109op/s ± 3935.025op/s 4634608.462op/s ± 2521.724op/s 4636648.235op/s 4639380.491op/s 4641936.983op/s 4644434.070op/s 0.21% -0.533 0.480 0.08% 278.248op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 19.693µs 19.799µs ± 0.068µs 19.801µs ± 0.063µs 19.858µs 19.900µs 19.929µs 19.948µs 0.75% 0.136 -1.369 0.34% 0.005µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 50129157.560op/s 50508618.187op/s ± 174292.854op/s 50503611.851op/s ± 160883.282op/s 50703901.243op/s 50729866.195op/s 50753687.495op/s 50779817.410op/s 0.55% -0.130 -1.375 0.34% 12324.366op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 11.826µs 12.326µs ± 0.167µs 12.336µs ± 0.119µs 12.449µs 12.572µs 12.641µs 12.930µs 4.82% -0.088 0.353 1.36% 0.012µs 1 200
normalization/normalize_name/normalize_name/good throughput 77340361.639op/s 81141792.282op/s ± 1104404.959op/s 81066095.270op/s ± 773453.678op/s 81877135.812op/s 83022162.728op/s 83788154.798op/s 84562797.126op/s 4.31% 0.182 0.315 1.36% 78093.224op/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 [215.778µs; 215.829µs] 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 [4633303.752op/s; 4634394.466op/s] or [-0.012%; +0.012%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [19.789µs; 19.808µs] or [-0.048%; +0.048%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [50484462.874op/s; 50532773.500op/s] or [-0.048%; +0.048%] None None None
normalization/normalize_name/normalize_name/good execution_time [12.303µs; 12.350µs] or [-0.188%; +0.188%] None None None
normalization/normalize_name/normalize_name/good throughput [80988732.377op/s; 81294852.188op/s] or [-0.189%; +0.189%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 805bdd0 1746843337 ekump/clippy-annotation-action
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 4.954µs 5.027µs ± 0.045µs 5.029µs ± 0.049µs 5.055µs 5.095µs 5.098µs 5.105µs 1.52% -0.007 -1.283 0.90% 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 [5.021µs; 5.033µs] or [-0.125%; +0.125%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 805bdd0 1746843337 ekump/clippy-annotation-action
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 67.155µs 67.400µs ± 0.280µs 67.358µs ± 0.069µs 67.438µs 67.614µs 67.829µs 70.959µs 5.34% 10.425 129.347 0.41% 0.020µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [67.361µs; 67.438µs] or [-0.058%; +0.058%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 805bdd0 1746843337 ekump/clippy-annotation-action
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 1.227µs 3.190µs ± 1.435µs 2.987µs ± 0.027µs 3.014µs 3.679µs 13.834µs 14.905µs 398.98% 7.402 55.761 44.89% 0.101µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [2.991µs; 3.389µs] or [-6.237%; +6.237%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 805bdd0 1746843337 ekump/clippy-annotation-action
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 17.680µs 25.900µs ± 10.896µs 18.030µs ± 0.269µs 34.946µs 45.179µs 57.887µs 88.862µs 392.86% 1.589 4.496 41.96% 0.770µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [24.390µs; 27.410µs] or [-5.830%; +5.830%] None None None

Baseline

Omitted due to size.

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codecov-commenter commented May 2, 2025 •
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Codecov Report

Attention: Patch coverage is 0% with 2 lines in your changes missing coverage. Please review.

Project coverage is 71.18%. Comparing base (6058321) to head (805bdd0).

Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #1049      +/-   ##
==========================================
- Coverage   71.19%   71.18%   -0.01%     
==========================================
  Files         322      322              
  Lines       49254    49256       +2     
==========================================
- Hits        35067    35065       -2     
- Misses      14187    14191       +4
Components Coverage Δ
datadog-crashtracker 42.43% <ø> (ø)
datadog-crashtracker-ffi 6.30% <ø> (ø)
datadog-alloc 98.73% <ø> (ø)
data-pipeline 90.78% <0.00%> (-0.04%) ⬇️
data-pipeline-ffi 89.26% <ø> (ø)
ddcommon 78.28% <ø> (ø)
ddcommon-ffi 66.37% <ø> (ø)
ddtelemetry 60.56% <ø> (ø)
ddtelemetry-ffi 21.32% <ø> (ø)
dogstatsd-client 83.26% <ø> (ø)
datadog-ipc 82.68% <ø> (+0.10%) ⬆️
datadog-profiling 77.49% <ø> (ø)
datadog-profiling-ffi 62.12% <ø> (ø)
datadog-sidecar 42.63% <ø> (ø)
datdog-sidecar-ffi 12.84% <ø> (ø)
spawn-worker 54.37% <ø> (ø)
tinybytes 88.94% <ø> (ø)
datadog-trace-normalization 98.24% <ø> (ø)
datadog-trace-obfuscation 94.16% <ø> (ø)
datadog-trace-protobuf 77.10% <ø> (ø)
datadog-trace-utils 89.28% <ø> (ø)
🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

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r1viollet commented May 2, 2025 •
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Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so.debug 20.31 MB 20.31 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 8.03 MB 8.03 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 66.02 MB 66.02 MB 0% (0 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug 22.70 MB 22.70 MB 0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 72.62 MB 72.62 MB 0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 8.00 MB 8.00 MB 0% (0 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 16.71 MB 16.71 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 62.31 KB 62.31 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 112.66 MB 112.65 MB --.01% (-16.00 KB) 💪
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 631.94 MB 631.94 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 62.31 KB 62.31 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 15.88 MB 15.88 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 26.43 MB 26.43 MB 0% (0 B) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 14.15 MB 14.15 MB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 63.26 KB 63.26 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 114.51 MB 114.49 MB --.02% (-24.00 KB) 💪
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 624.51 MB 624.51 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 63.26 KB 63.26 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 16.50 MB 16.49 MB --.04% (-8.00 KB) 💪
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 24.34 MB 24.34 MB 0% (0 B) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 57.50 MB 57.50 MB 0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 8.43 MB 8.43 MB 0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so.debug 18.71 MB 18.71 MB -0% (-8 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 68.60 MB 68.60 MB 0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 8.43 MB 8.43 MB 0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug 20.90 MB 20.90 MB 0% (0 B) 👌

@ekump ekump force-pushed the ekump/clippy-annotation-action branch from 4dae85a to a1c1a9d Compare May 2, 2025 17:05
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@ekump ekump force-pushed the ekump/clippy-annotation-action branch from 4db63c3 to c0d22c4 Compare May 2, 2025 19:07
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github-actions bot commented May 2, 2025 •
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Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

  • Base Branch: origin/main
  • PR Branch: origin/ekump/clippy-annotation-action

Summary by Rule

Rule Base Branch PR Branch Change
unwrap_used 7 8 ⚠️ +1 (+14.3%)
Total 7 8 ⚠️ +1 (+14.3%)

Annotation Counts by File

File Base Branch PR Branch Change
data-pipeline/src/trace_exporter/mod.rs 7 8 ⚠️ +1 (+14.3%)

Annotation Stats by Crate

Crate Base Branch PR Branch Change
data-pipeline 10 11 ⚠️ +1 (+10.0%)
datadog-crashtracker 5 5 No change (0%)
datadog-ipc 27 27 No change (0%)
datadog-live-debugger 6 6 No change (0%)
datadog-live-debugger-ffi 10 10 No change (0%)
datadog-profiling 11 11 No change (0%)
datadog-profiling-replayer 4 4 No change (0%)
datadog-remote-config 3 3 No change (0%)
datadog-sidecar 56 56 No change (0%)
datadog-trace-normalization 2 2 No change (0%)
datadog-trace-obfuscation 8 8 No change (0%)
datadog-trace-utils 17 17 No change (0%)
ddcommon 13 13 No change (0%)
ddcommon-ffi 8 8 No change (0%)
ddsketch 2 2 No change (0%)
ddtelemetry 19 19 No change (0%)
dogstatsd-client 1 1 No change (0%)
tinybytes 3 3 No change (0%)
Total 205 206 ⚠️ +1 (+0.5%)

About This Report

This report tracks Clippy allow annotations for specific rules, showing how they've changed in this PR. Decreasing the number of these annotations generally improves code quality.

@DataDog DataDog deleted a comment from github-actions bot May 2, 2025
@ekump ekump force-pushed the ekump/clippy-annotation-action branch 4 times, most recently from e117b3e to 14d2b50 Compare May 5, 2025 19:38
@ekump ekump force-pushed the ekump/clippy-annotation-action branch from 14d2b50 to 196838e Compare May 8, 2025 12:38
@ekump ekump force-pushed the ekump/clippy-annotation-action branch from 196838e to 78c37d6 Compare May 8, 2025 13:02
@ekump ekump force-pushed the ekump/clippy-annotation-action branch from 92c3830 to 145fb3f Compare May 9, 2025 20:35
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@ekump @codecov-commenter @r1viollet