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Try making m4 dir first#1753
gyuheon0h wants to merge 1 commit into
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gyuheon0h/alpine-libunwind-build-debug

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@gyuheon0h gyuheon0h commented Mar 17, 2026

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.

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gyuheon0h commented Mar 17, 2026

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Benchmarks

Comparison

Benchmark execution time: 2026-03-17 20:38:47

Comparing candidate commit b22126b in PR branch gyuheon0h/alpine-libunwind-build-debug with baseline commit 5426a8b in branch main.

Found 1 performance improvements and 0 performance regressions! Performance is the same for 58 metrics, 2 unstable metrics.

Explanation

This is an A/B test comparing a candidate commit's performance against that of a baseline commit. Performance changes are noted in the tables below as:

  • 🟩 = significantly better candidate vs. baseline
  • 🟥 = significantly worse candidate vs. baseline

We compute a confidence interval (CI) over the relative difference of means between metrics from the candidate and baseline commits, considering the baseline as the reference.

If the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD), the change is considered significant.

Feel free to reach out to #apm-benchmarking-platform on Slack if you have any questions.

More details about the CI and significant changes

You can imagine this CI as a range of values that is likely to contain the true difference of means between the candidate and baseline commits.

CIs of the difference of means are often centered around 0%, because often changes are not that big:

---------------------------------(------|---^--------)-------------------------------->
                              -0.6%    0%  0.3%     +1.2%
                                 |          |        |
         lower bound of the CI --'          |        |
sample mean (center of the CI) -------------'        |
         upper bound of the CI ----------------------'

As described above, a change is considered significant if the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD).

For instance, for an execution time metric, this confidence interval indicates a significantly worse performance:

----------------------------------------|---------|---(---------^---------)---------->
                                       0%        1%  1.3%      2.2%      3.1%
                                                  |   |         |         |
       significant impact threshold --------------'   |         |         |
                      lower bound of CI --------------'         |         |
       sample mean (center of the CI) --------------------------'         |
                      upper bound of CI ----------------------------------'

scenario:normalization/normalize_trace/test_trace

  • 🟩 execution_time [-50.380ns; -45.340ns] or [-16.924%; -15.231%]

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 b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
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 33.468µs 34.002µs ± 0.970µs 33.563µs ± 0.039µs 33.615µs 36.074µs 36.119µs 37.343µs 11.26% 1.741 1.183 2.84% 0.069µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [33.867µs; 34.136µs] or [-0.395%; +0.395%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
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 186.336µs 186.615µs ± 0.138µs 186.603µs ± 0.083µs 186.683µs 186.854µs 186.983µs 187.206µs 0.32% 0.931 1.953 0.07% 0.010µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 5341702.000op/s 5358638.145op/s ± 3956.336op/s 5358978.906op/s ± 2395.129op/s 5361379.065op/s 5364567.131op/s 5365578.630op/s 5366656.694op/s 0.14% -0.924 1.930 0.07% 279.755op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 17.850µs 17.925µs ± 0.039µs 17.915µs ± 0.022µs 17.943µs 17.997µs 18.031µs 18.090µs 0.98% 0.978 1.184 0.22% 0.003µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 55278492.114op/s 55789791.254op/s ± 122497.384op/s 55817601.213op/s ± 69800.649op/s 55872249.745op/s 55949629.542op/s 56002075.662op/s 56022699.079op/s 0.37% -0.964 1.135 0.22% 8661.873op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.626µs 10.764µs ± 0.048µs 10.764µs ± 0.032µs 10.799µs 10.837µs 10.856µs 10.902µs 1.28% -0.121 0.018 0.44% 0.003µs 1 200
normalization/normalize_name/normalize_name/good throughput 91727499.835op/s 92902507.388op/s ± 413972.772op/s 92905470.800op/s ± 272949.269op/s 93165597.646op/s 93544918.823op/s 93880128.662op/s 94112211.701op/s 1.30% 0.147 0.029 0.44% 29272.295op/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 [186.596µs; 186.634µs] or [-0.010%; +0.010%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [5358089.835op/s; 5359186.456op/s] or [-0.010%; +0.010%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [17.919µs; 17.930µs] or [-0.030%; +0.030%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [55772814.295op/s; 55806768.213op/s] or [-0.030%; +0.030%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.758µs; 10.771µs] or [-0.062%; +0.062%] None None None
normalization/normalize_name/normalize_name/good throughput [92845134.743op/s; 92959880.033op/s] or [-0.062%; +0.062%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
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 86.197µs 86.379µs ± 0.178µs 86.350µs ± 0.052µs 86.404µs 86.553µs 86.994µs 88.206µs 2.15% 6.520 58.261 0.21% 0.013µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [86.355µs; 86.404µs] or [-0.029%; +0.029%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
credit_card/is_card_number/ execution_time 3.893µs 3.912µs ± 0.003µs 3.912µs ± 0.002µs 3.914µs 3.916µs 3.919µs 3.920µs 0.21% -1.452 11.364 0.07% 0.000µs 1 200
credit_card/is_card_number/ throughput 255076720.035op/s 255613961.460op/s ± 177854.620op/s 255605975.416op/s ± 111774.700op/s 255728622.426op/s 255843155.759op/s 255876317.977op/s 256876365.315op/s 0.50% 1.476 11.545 0.07% 12576.221op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 80.252µs 80.837µs ± 0.281µs 80.808µs ± 0.194µs 81.017µs 81.370µs 81.547µs 81.631µs 1.02% 0.525 -0.114 0.35% 0.020µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12250280.744op/s 12370708.617op/s ± 42939.492op/s 12375013.012op/s ± 29718.773op/s 12403755.572op/s 12432582.006op/s 12447820.265op/s 12460698.555op/s 0.69% -0.508 -0.135 0.35% 3036.281op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 72.971µs 73.467µs ± 0.259µs 73.437µs ± 0.170µs 73.607µs 73.945µs 74.167µs 74.191µs 1.03% 0.565 -0.048 0.35% 0.018µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 13478790.140op/s 13611772.414op/s ± 47963.447op/s 13617173.543op/s ± 31492.969op/s 13648637.796op/s 13679809.832op/s 13699158.321op/s 13704072.850op/s 0.64% -0.548 -0.071 0.35% 3391.528op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.898µs 3.913µs ± 0.003µs 3.912µs ± 0.002µs 3.914µs 3.919µs 3.921µs 3.923µs 0.28% 0.337 2.951 0.08% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 254899990.911op/s 255583998.092op/s ± 200471.228op/s 255605488.390op/s ± 110567.032op/s 255721723.536op/s 255821536.979op/s 255870588.654op/s 256562218.899op/s 0.37% -0.325 2.980 0.08% 14175.457op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 70.014µs 70.547µs ± 0.251µs 70.540µs ± 0.180µs 70.727µs 70.972µs 71.111µs 71.479µs 1.33% 0.446 0.491 0.36% 0.018µs 1 200
credit_card/is_card_number/378282246310005 throughput 13990140.892op/s 14175054.419op/s ± 50376.389op/s 14176274.587op/s ± 36306.395op/s 14211530.881op/s 14257322.206op/s 14266825.026op/s 14282801.686op/s 0.75% -0.422 0.440 0.35% 3562.149op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 53.060µs 53.129µs ± 0.036µs 53.127µs ± 0.024µs 53.148µs 53.192µs 53.232µs 53.256µs 0.24% 0.700 0.638 0.07% 0.003µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 18777393.012op/s 18822031.806op/s ± 12839.356op/s 18822860.157op/s ± 8581.925op/s 18831778.118op/s 18840184.675op/s 18846413.221op/s 18846524.870op/s 0.13% -0.696 0.628 0.07% 907.880op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.427µs 6.442µs ± 0.007µs 6.441µs ± 0.004µs 6.446µs 6.455µs 6.464µs 6.467µs 0.40% 0.789 0.722 0.11% 0.001µs 1 200
credit_card/is_card_number/x371413321323331 throughput 154637040.082op/s 155234088.626op/s ± 173431.787op/s 155250226.778op/s ± 103713.517op/s 155352128.420op/s 155473849.304op/s 155507589.348op/s 155583161.354op/s 0.21% -0.782 0.705 0.11% 12263.479op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.891µs 3.912µs ± 0.003µs 3.912µs ± 0.002µs 3.913µs 3.916µs 3.926µs 3.928µs 0.41% 0.242 12.372 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 254594960.932op/s 255627240.293op/s ± 214946.220op/s 255637770.482op/s ± 102717.626op/s 255745224.949op/s 255856227.223op/s 255916857.820op/s 256998379.583op/s 0.53% -0.206 12.462 0.08% 15198.993op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 64.888µs 65.142µs ± 0.134µs 65.131µs ± 0.089µs 65.219µs 65.376µs 65.639µs 65.653µs 0.80% 1.164 2.263 0.21% 0.009µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15231510.553op/s 15351094.283op/s ± 31533.813op/s 15353707.803op/s ± 21123.598op/s 15374803.004op/s 15389478.291op/s 15402056.649op/s 15411251.755op/s 0.37% -1.147 2.195 0.20% 2229.777op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 58.172µs 58.377µs ± 0.132µs 58.348µs ± 0.070µs 58.437µs 58.594µs 58.810µs 59.090µs 1.27% 1.755 5.431 0.22% 0.009µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 16923417.208op/s 17130225.507op/s ± 38470.790op/s 17138460.075op/s ± 20679.724op/s 17155030.664op/s 17175358.348op/s 17187456.543op/s 17190502.248op/s 0.30% -1.726 5.263 0.22% 2720.296op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.894µs 3.913µs ± 0.004µs 3.912µs ± 0.002µs 3.914µs 3.919µs 3.924µs 3.936µs 0.60% 1.221 9.325 0.10% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 254073724.902op/s 255579226.800op/s ± 246289.063op/s 255607533.978op/s ± 111328.162op/s 255716404.208op/s 255870832.162op/s 255944651.102op/s 256780996.640op/s 0.46% -1.193 9.252 0.10% 17415.267op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 55.153µs 55.539µs ± 0.188µs 55.512µs ± 0.118µs 55.645µs 55.903µs 56.094µs 56.178µs 1.20% 0.735 0.746 0.34% 0.013µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 17800415.448op/s 18005428.004op/s ± 60643.491op/s 18014125.765op/s ± 38207.942op/s 18047044.126op/s 18090646.683op/s 18117750.882op/s 18131429.019op/s 0.65% -0.713 0.697 0.34% 4288.142op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 53.061µs 53.130µs ± 0.040µs 53.127µs ± 0.026µs 53.152µs 53.197µs 53.233µs 53.304µs 0.33% 0.752 1.084 0.07% 0.003µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 18760245.551op/s 18821868.091op/s ± 14055.190op/s 18822862.031op/s ± 9207.135op/s 18832172.167op/s 18840548.744op/s 18844913.529op/s 18846382.043op/s 0.12% -0.746 1.064 0.07% 993.852op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.429µs 6.443µs ± 0.007µs 6.442µs ± 0.005µs 6.447µs 6.456µs 6.463µs 6.470µs 0.43% 0.574 0.325 0.11% 0.001µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 154555475.364op/s 155207717.401op/s ± 175391.567op/s 155222536.194op/s ± 114712.810op/s 155336989.630op/s 155463058.234op/s 155523776.319op/s 155533190.913op/s 0.20% -0.567 0.310 0.11% 12402.057op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
credit_card/is_card_number/ execution_time [3.912µs; 3.913µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ throughput [255589312.520op/s; 255638610.400op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [80.798µs; 80.876µs] or [-0.048%; +0.048%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12364757.617op/s; 12376659.618op/s] or [-0.048%; +0.048%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [73.431µs; 73.503µs] or [-0.049%; +0.049%] None None None
credit_card/is_card_number/ 378282246310005 throughput [13605125.141op/s; 13618419.686op/s] or [-0.049%; +0.049%] 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 [255556214.708op/s; 255611781.477op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/378282246310005 execution_time [70.513µs; 70.582µs] or [-0.049%; +0.049%] None None None
credit_card/is_card_number/378282246310005 throughput [14168072.736op/s; 14182036.102op/s] or [-0.049%; +0.049%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [53.124µs; 53.134µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [18820252.395op/s; 18823811.217op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.441µs; 6.443µs] or [-0.015%; +0.015%] None None None
credit_card/is_card_number/x371413321323331 throughput [155210052.649op/s; 155258124.604op/s] or [-0.015%; +0.015%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.911µs; 3.912µs] or [-0.012%; +0.012%] None None None
credit_card/is_card_number_no_luhn/ throughput [255597450.815op/s; 255657029.772op/s] or [-0.012%; +0.012%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [65.124µs; 65.161µs] or [-0.029%; +0.029%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15346723.999op/s; 15355464.566op/s] or [-0.028%; +0.028%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [58.358µs; 58.395µs] or [-0.031%; +0.031%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [17124893.826op/s; 17135557.189op/s] or [-0.031%; +0.031%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.912µs; 3.913µs] or [-0.013%; +0.013%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255545093.504op/s; 255613360.095op/s] or [-0.013%; +0.013%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [55.513µs; 55.565µs] or [-0.047%; +0.047%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [17997023.399op/s; 18013832.608op/s] or [-0.047%; +0.047%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [53.124µs; 53.135µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [18819920.177op/s; 18823816.005op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.442µs; 6.444µs] or [-0.016%; +0.016%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [155183409.816op/s; 155232024.985op/s] or [-0.016%; +0.016%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
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 2.358µs 2.399µs ± 0.019µs 2.391µs ± 0.010µs 2.414µs 2.435µs 2.440µs 2.442µs 2.14% 0.675 -0.595 0.77% 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 [2.396µs; 2.402µs] or [-0.107%; +0.107%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profile_add_sample_frames_x1000 execution_time 4.138ms 4.144ms ± 0.003ms 4.143ms ± 0.002ms 4.145ms 4.148ms 4.151ms 4.172ms 0.69% 3.886 31.221 0.08% 0.000ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample_frames_x1000 execution_time [4.143ms; 4.144ms] or [-0.010%; +0.010%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profile_add_sample_timestamped_x1000 execution_time 4.173ms 4.179ms ± 0.009ms 4.178ms ± 0.001ms 4.180ms 4.182ms 4.201ms 4.286ms 2.58% 9.653 111.149 0.21% 0.001ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample_timestamped_x1000 execution_time [4.178ms; 4.180ms] or [-0.029%; +0.029%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
benching serializing traces from their internal representation to msgpack execution_time 14.214ms 14.255ms ± 0.027ms 14.251ms ± 0.011ms 14.263ms 14.287ms 14.355ms 14.431ms 1.26% 2.910 13.017 0.19% 0.002ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching serializing traces from their internal representation to msgpack execution_time [14.251ms; 14.259ms] or [-0.026%; +0.026%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
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 1.215µs 3.247µs ± 1.447µs 3.010µs ± 0.030µs 3.040µs 3.658µs 14.267µs 14.920µs 395.70% 7.301 54.662 44.46% 0.102µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [3.047µs; 3.448µs] or [-6.177%; +6.177%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
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 495.269µs 496.050µs ± 0.380µs 496.011µs ± 0.233µs 496.256µs 496.652µs 497.129µs 497.575µs 0.32% 0.657 1.295 0.08% 0.027µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 2009749.069op/s 2015927.461op/s ± 1543.378op/s 2016085.111op/s ± 948.299op/s 2016931.015op/s 2018363.848op/s 2018870.789op/s 2019102.957op/s 0.15% -0.650 1.276 0.08% 109.133op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 369.716µs 370.243µs ± 0.297µs 370.212µs ± 0.154µs 370.371µs 370.689µs 371.045µs 372.457µs 0.61% 2.397 14.234 0.08% 0.021µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2684875.571op/s 2700927.640op/s ± 2164.465op/s 2701151.683op/s ± 1121.090op/s 2702187.509op/s 2703540.514op/s 2704287.320op/s 2704780.712op/s 0.13% -2.372 13.998 0.08% 153.051op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 168.568µs 168.914µs ± 0.160µs 168.894µs ± 0.107µs 169.015µs 169.193µs 169.334µs 169.538µs 0.38% 0.617 0.567 0.09% 0.011µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5898397.227op/s 5920178.912op/s ± 5613.017op/s 5920884.046op/s ± 3747.340op/s 5924467.313op/s 5928365.901op/s 5930041.500op/s 5932312.589op/s 0.19% -0.611 0.551 0.09% 396.900op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 36.812µs 37.036µs ± 0.115µs 37.051µs ± 0.095µs 37.125µs 37.206µs 37.271µs 37.322µs 0.73% -0.082 -0.992 0.31% 0.008µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 26793727.765op/s 27000882.814op/s ± 84125.737op/s 26990130.201op/s ± 68858.155op/s 27074045.211op/s 27133167.600op/s 27149131.721op/s 27165032.779op/s 0.65% 0.091 -0.997 0.31% 5948.588op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 46.193µs 46.299µs ± 0.053µs 46.290µs ± 0.024µs 46.316µs 46.407µs 46.460µs 46.518µs 0.49% 1.135 1.983 0.12% 0.004µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21496843.936op/s 21598722.611op/s ± 24911.104op/s 21603049.599op/s ± 11286.012op/s 21612537.258op/s 21632708.704op/s 21644868.058op/s 21648464.700op/s 0.21% -1.126 1.954 0.12% 1761.481op/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 [495.997µs; 496.103µs] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [2015713.564op/s; 2016141.358op/s] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [370.202µs; 370.285µs] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2700627.666op/s; 2701227.614op/s] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [168.892µs; 168.936µs] or [-0.013%; +0.013%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5919401.002op/s; 5920956.822op/s] or [-0.013%; +0.013%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [37.020µs; 37.052µs] or [-0.043%; +0.043%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [26989223.796op/s; 27012541.832op/s] or [-0.043%; +0.043%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [46.292µs; 46.307µs] or [-0.016%; +0.016%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21595270.172op/s; 21602175.051op/s] or [-0.016%; +0.016%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
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 4.990µs 5.069µs ± 0.055µs 5.042µs ± 0.031µs 5.108µs 5.173µs 5.176µs 5.179µs 2.71% 0.643 -0.872 1.08% 0.004µs 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 [5.061µs; 5.076µs] or [-0.150%; +0.150%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
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 159.478µs 160.229µs ± 0.296µs 160.192µs ± 0.133µs 160.345µs 160.716µs 161.127µs 161.879µs 1.05% 1.464 5.901 0.18% 0.021µs 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 [160.188µs; 160.270µs] or [-0.026%; +0.026%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
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 236.686ns 249.830ns ± 15.754ns 242.713ns ± 4.107ns 251.950ns 283.111ns 291.809ns 297.106ns 22.41% 1.376 0.476 6.29% 1.114ns 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 [247.646ns; 252.013ns] or [-0.874%; +0.874%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
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 49.062ms 49.379ms ± 1.402ms 49.215ms ± 0.039ms 49.244ms 49.308ms 58.523ms 62.322ms 26.63% 8.161 65.946 2.83% 0.099ms 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 [49.185ms; 49.573ms] or [-0.393%; +0.393%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
sdk_test_data/rules-based execution_time 144.301µs 146.489µs ± 1.648µs 146.222µs ± 0.546µs 146.847µs 148.550µs 152.226µs 161.849µs 10.69% 5.140 39.874 1.12% 0.117µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sdk_test_data/rules-based execution_time [146.261µs; 146.717µs] or [-0.156%; +0.156%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
receiver_entry_point/report/2598 execution_time 3.397ms 3.428ms ± 0.024ms 3.421ms ± 0.009ms 3.434ms 3.483ms 3.506ms 3.514ms 2.73% 1.577 2.024 0.70% 0.002ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
receiver_entry_point/report/2598 execution_time [3.425ms; 3.432ms] or [-0.097%; +0.097%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profile_add_sample2_frames_x1000 execution_time 717.238µs 717.963µs ± 0.396µs 717.892µs ± 0.270µs 718.181µs 718.715µs 719.016µs 719.545µs 0.23% 0.851 0.744 0.06% 0.028µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample2_frames_x1000 execution_time [717.908µs; 718.018µs] or [-0.008%; +0.008%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
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 12.928ms 12.963ms ± 0.017ms 12.961ms ± 0.009ms 12.970ms 12.992ms 13.021ms 13.039ms 0.60% 1.342 3.349 0.13% 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 [12.961ms; 12.965ms] or [-0.018%; +0.018%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
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 18.239µs 26.410µs ± 9.245µs 19.304µs ± 0.912µs 34.764µs 43.364µs 44.139µs 64.769µs 235.53% 0.833 0.019 34.92% 0.654µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [25.129µs; 27.691µs] or [-4.852%; +4.852%] None None None

Group 20

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b22126b 1773778880 gyuheon0h/alpine-libunwind-build-debug
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
single_flag_killswitch/rules-based execution_time 190.931ns 193.225ns ± 2.084ns 193.005ns ± 1.700ns 194.515ns 197.224ns 198.758ns 200.796ns 4.04% 0.916 0.289 1.08% 0.147ns 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
single_flag_killswitch/rules-based execution_time [192.936ns; 193.514ns] or [-0.149%; +0.149%] None None None

Baseline

Omitted due to size.

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github-actions Bot commented Mar 17, 2026

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

  • Base Branch: origin/main
  • PR Branch: origin/gyuheon0h/alpine-libunwind-build-debug

Summary by Rule

Rule Base Branch PR Branch Change

Annotation Counts by File

File Base Branch PR Branch Change

Annotation Stats by Crate

Crate Base Branch PR Branch Change
clippy-annotation-reporter 5 5 No change (0%)
datadog-ffe-ffi 1 1 No change (0%)
datadog-ipc 28 28 No change (0%)
datadog-live-debugger 6 6 No change (0%)
datadog-live-debugger-ffi 10 10 No change (0%)
datadog-profiling-replayer 4 4 No change (0%)
datadog-remote-config 3 3 No change (0%)
datadog-sidecar 59 59 No change (0%)
libdd-common 10 10 No change (0%)
libdd-common-ffi 12 12 No change (0%)
libdd-data-pipeline 5 5 No change (0%)
libdd-ddsketch 2 2 No change (0%)
libdd-dogstatsd-client 1 1 No change (0%)
libdd-profiling 13 13 No change (0%)
libdd-telemetry 19 19 No change (0%)
libdd-tinybytes 4 4 No change (0%)
libdd-trace-normalization 2 2 No change (0%)
libdd-trace-obfuscation 9 9 No change (0%)
libdd-trace-utils 15 15 No change (0%)
Total 208 208 No change (0%)

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.

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codecov-commenter commented Mar 17, 2026 •
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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.49%. Comparing base (5426a8b) to head (b22126b).
⚠️ Report is 34 commits behind head on main.

Additional details and impacted files 
@@           Coverage Diff           @@
##             main    #1753   +/-   ##
=======================================
  Coverage   71.48%   71.49%           
=======================================
  Files         430      430           
  Lines       64041    64041           
=======================================
+ Hits        45782    45783    +1     
+ Misses      18259    18258    -1
Components Coverage Δ
libdd-crashtracker 63.98% <ø> (+0.01%) ⬆️
libdd-crashtracker-ffi 18.19% <ø> (ø)
libdd-alloc 98.77% <ø> (ø)
libdd-data-pipeline 87.94% <ø> (ø)
libdd-data-pipeline-ffi 74.85% <ø> (ø)
libdd-common 79.73% <ø> (ø)
libdd-common-ffi 73.40% <ø> (ø)
libdd-telemetry 62.48% <ø> (ø)
libdd-telemetry-ffi 16.75% <ø> (ø)
libdd-dogstatsd-client 82.64% <ø> (ø)
datadog-ipc 80.35% <ø> (ø)
libdd-profiling 81.60% <ø> (ø)
libdd-profiling-ffi 63.65% <ø> (ø)
datadog-sidecar 33.10% <ø> (ø)
datdog-sidecar-ffi 10.79% <ø> (ø)
spawn-worker 54.69% <ø> (ø)
libdd-tinybytes 93.16% <ø> (ø)
libdd-trace-normalization 81.71% <ø> (ø)
libdd-trace-obfuscation 91.80% <ø> (ø)
libdd-trace-protobuf 68.25% <ø> (ø)
libdd-trace-utils 88.98% <ø> (ø)
datadog-tracer-flare 90.46% <ø> (ø)
libdd-log 74.69% <ø> (ø)
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@gyuheon0h gyuheon0h closed this Mar 20, 2026
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@gyuheon0h @codecov-commenter