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gyuheon0h wants to merge 1 commit into from
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style: fix clippy warnings #1429

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@gyuheon0h gyuheon0h commented Jan 4, 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

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How to test the change?

Describe here in detail how the change can be validated.

@gyuheon0h gyuheon0h closed this Jan 4, 2026
@gyuheon0h gyuheon0h reopened this Jan 4, 2026
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codecov-commenter commented Jan 4, 2026 •
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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.42%. Comparing base (e7c2ff8) to head (bce4681).

Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #1429      +/-   ##
==========================================
- Coverage   71.44%   71.42%   -0.02%     
==========================================
  Files         411      411              
  Lines       66044    66044              
==========================================
- Hits        47186    47173      -13     
- Misses      18858    18871      +13
Components Coverage Δ
libdd-crashtracker 58.70% <0.00%> (ø)
libdd-crashtracker-ffi 14.72% <0.00%> (ø)
libdd-alloc 98.73% <0.00%> (ø)
libdd-data-pipeline 86.02% <0.00%> (ø)
libdd-data-pipeline-ffi 77.74% <0.00%> (ø)
libdd-common 81.33% <0.00%> (ø)
libdd-common-ffi 74.96% <0.00%> (ø)
libdd-telemetry 59.95% <0.00%> (ø)
libdd-telemetry-ffi 21.17% <0.00%> (ø)
libdd-dogstatsd-client 83.75% <0.00%> (ø)
datadog-ipc 82.61% <0.00%> (ø)
libdd-profiling 81.73% <0.00%> (+<0.01%) ⬆️
libdd-profiling-ffi 67.83% <0.00%> (ø)
datadog-sidecar 35.88% <0.00%> (ø)
datdog-sidecar-ffi 10.88% <0.00%> (ø)
spawn-worker 55.18% <0.00%> (ø)
libdd-tinybytes 92.44% <0.00%> (ø)
libdd-trace-normalization 82.33% <0.00%> (ø)
libdd-trace-obfuscation 94.17% <0.00%> (ø)
libdd-trace-protobuf 61.18% <0.00%> (ø)
libdd-trace-utils 89.92% <0.00%> (ø)
datadog-tracer-flare 62.06% <0.00%> (ø)
libdd-log 75.57% <0.00%> (ø)
🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

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pr-commenter bot commented Jan 4, 2026 •
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Benchmarks

Comparison

Benchmark execution time: 2026-01-04 20:13:41

Comparing candidate commit bce4681 in PR branch gyuheon0h/fix-clippy-latest with baseline commit e7c2ff8 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 57 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 bce4681 1767556634 gyuheon0h/fix-clippy-latest
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 90.039µs 90.352µs ± 0.146µs 90.332µs ± 0.046µs 90.391µs 90.488µs 90.842µs 91.613µs 1.42% 5.016 37.573 0.16% 0.010µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [90.332µs; 90.372µs] or [-0.022%; +0.022%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz bce4681 1767556634 gyuheon0h/fix-clippy-latest
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
normalization/normalize_trace/test_trace execution_time 243.318ns 256.747ns ± 14.309ns 251.142ns ± 4.680ns 263.191ns 282.553ns 295.790ns 301.225ns 19.94% 1.335 0.665 5.56% 1.012ns 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 [254.764ns; 258.730ns] or [-0.772%; +0.772%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz bce4681 1767556634 gyuheon0h/fix-clippy-latest
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 161.673µs 162.521µs ± 0.301µs 162.490µs ± 0.183µs 162.674µs 163.111µs 163.306µs 163.827µs 0.82% 0.975 2.338 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 [162.480µs; 162.563µs] or [-0.026%; +0.026%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz bce4681 1767556634 gyuheon0h/fix-clippy-latest
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 533.884µs 534.637µs ± 0.704µs 534.574µs ± 0.240µs 534.840µs 535.147µs 535.434µs 543.412µs 1.65% 9.773 119.373 0.13% 0.050µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1840224.360op/s 1870430.364op/s ± 2430.195op/s 1870649.125op/s ± 840.556op/s 1871417.234op/s 1872265.914op/s 1872761.390op/s 1873065.853op/s 0.13% -9.672 117.683 0.13% 171.841op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 380.280µs 380.960µs ± 0.315µs 380.927µs ± 0.173µs 381.097µs 381.606µs 381.769µs 382.054µs 0.30% 0.761 0.682 0.08% 0.022µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2617427.767op/s 2624948.608op/s ± 2167.596op/s 2625172.505op/s ± 1189.927op/s 2626361.758op/s 2627929.133op/s 2628766.643op/s 2629644.323op/s 0.17% -0.756 0.671 0.08% 153.272op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 189.686µs 190.182µs ± 0.544µs 190.134µs ± 0.140µs 190.272µs 190.529µs 190.777µs 195.859µs 3.01% 7.717 71.929 0.29% 0.038µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5105710.462op/s 5258153.671op/s ± 14720.099op/s 5259437.960op/s ± 3875.099op/s 5263834.877op/s 5269584.797op/s 5271377.708op/s 5271882.469op/s 0.24% -7.594 70.224 0.28% 1040.868op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 37.368µs 37.456µs ± 0.040µs 37.452µs ± 0.021µs 37.475µs 37.526µs 37.586µs 37.628µs 0.47% 1.031 2.557 0.11% 0.003µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 26576245.897op/s 26697855.809op/s ± 28153.136op/s 26700500.091op/s ± 14759.894op/s 26714503.225op/s 26739481.959op/s 26752192.647op/s 26761027.867op/s 0.23% -1.020 2.520 0.11% 1990.727op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 45.776µs 45.904µs ± 0.054µs 45.899µs ± 0.024µs 45.924µs 45.974µs 46.024µs 46.426µs 1.15% 4.610 41.138 0.12% 0.004µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21539721.520op/s 21784444.906op/s ± 25644.029op/s 21786895.836op/s ± 11255.465op/s 21797802.855op/s 21812275.848op/s 21822852.387op/s 21845513.866op/s 0.27% -4.533 40.178 0.12% 1813.307op/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 [534.540µs; 534.735µs] or [-0.018%; +0.018%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [1870093.562op/s; 1870767.166op/s] or [-0.018%; +0.018%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [380.916µs; 381.004µs] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2624648.200op/s; 2625249.016op/s] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [190.107µs; 190.258µs] or [-0.040%; +0.040%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5256113.607op/s; 5260193.735op/s] or [-0.039%; +0.039%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [37.451µs; 37.462µs] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [26693954.055op/s; 26701757.563op/s] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [45.897µs; 45.912µs] or [-0.016%; +0.016%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21780890.890op/s; 21787998.922op/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 bce4681 1767556634 gyuheon0h/fix-clippy-latest
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 3.932ms 3.936ms ± 0.006ms 3.936ms ± 0.001ms 3.937ms 3.940ms 3.942ms 4.018ms 2.08% 11.291 143.882 0.16% 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 [3.936ms; 3.937ms] or [-0.022%; +0.022%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz bce4681 1767556634 gyuheon0h/fix-clippy-latest
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 35.156µs 35.504µs ± 0.524µs 35.266µs ± 0.065µs 35.471µs 36.429µs 36.469µs 39.602µs 12.29% 3.218 17.518 1.47% 0.037µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [35.432µs; 35.577µs] or [-0.204%; +0.204%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz bce4681 1767556634 gyuheon0h/fix-clippy-latest
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 144.090µs 145.972µs ± 1.648µs 145.728µs ± 0.540µs 146.270µs 147.512µs 151.605µs 160.379µs 10.05% 5.248 37.640 1.13% 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 [145.744µs; 146.200µs] or [-0.156%; +0.156%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz bce4681 1767556634 gyuheon0h/fix-clippy-latest
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 1.168µs 3.267µs ± 1.473µs 3.023µs ± 0.030µs 3.051µs 3.704µs 14.493µs 15.293µs 405.86% 7.250 54.098 44.99% 0.104µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [3.063µs; 3.471µs] or [-6.250%; +6.250%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz bce4681 1767556634 gyuheon0h/fix-clippy-latest
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 10.643ms 10.677ms ± 0.017ms 10.675ms ± 0.011ms 10.686ms 10.705ms 10.713ms 10.749ms 0.69% 0.877 1.776 0.16% 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 [10.674ms; 10.679ms] or [-0.022%; +0.022%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz bce4681 1767556634 gyuheon0h/fix-clippy-latest
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 59.935ms 60.324ms ± 2.163ms 60.031ms ± 0.047ms 60.104ms 60.381ms 69.635ms 81.990ms 36.58% 8.867 79.604 3.58% 0.153ms 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 [60.024ms; 60.623ms] or [-0.497%; +0.497%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz bce4681 1767556634 gyuheon0h/fix-clippy-latest
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 13.781ms 13.836ms ± 0.034ms 13.830ms ± 0.012ms 13.844ms 13.869ms 13.986ms 14.087ms 1.85% 3.747 20.185 0.24% 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 [13.831ms; 13.841ms] or [-0.034%; +0.034%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz bce4681 1767556634 gyuheon0h/fix-clippy-latest
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 2.332µs 2.392µs ± 0.019µs 2.392µs ± 0.005µs 2.397µs 2.434µs 2.444µs 2.452µs 2.53% -0.071 3.266 0.80% 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 [2.390µs; 2.395µs] or [-0.111%; +0.111%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz bce4681 1767556634 gyuheon0h/fix-clippy-latest
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 17.506µs 24.709µs ± 8.951µs 18.014µs ± 0.269µs 32.628µs 41.719µs 50.617µs 63.774µs 254.03% 1.147 1.251 36.14% 0.633µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [23.468µs; 25.949µs] or [-5.021%; +5.021%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz bce4681 1767556634 gyuheon0h/fix-clippy-latest
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 4.988µs 5.081µs ± 0.051µs 5.101µs ± 0.031µs 5.127µs 5.138µs 5.144µs 5.144µs 0.86% -0.486 -1.311 1.01% 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 [5.074µs; 5.088µs] or [-0.140%; +0.140%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz bce4681 1767556634 gyuheon0h/fix-clippy-latest
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 186.403ns 189.284ns ± 2.332ns 188.889ns ± 1.667ns 190.560ns 193.897ns 195.878ns 196.365ns 3.96% 0.882 0.212 1.23% 0.165ns 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 [188.961ns; 189.607ns] or [-0.171%; +0.171%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz bce4681 1767556634 gyuheon0h/fix-clippy-latest
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... execution_time 204.314µs 204.885µs ± 0.356µs 204.827µs ± 0.209µs 205.051µs 205.531µs 205.867µs 206.371µs 0.75% 1.053 1.516 0.17% 0.025µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 4845651.591op/s 4880811.136op/s ± 8460.328op/s 4882171.756op/s ± 4986.149op/s 4886609.205op/s 4891690.438op/s 4892611.665op/s 4894424.615op/s 0.25% -1.041 1.468 0.17% 598.236op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 18.582µs 18.657µs ± 0.056µs 18.640µs ± 0.025µs 18.677µs 18.782µs 18.836µs 18.924µs 1.52% 1.731 3.690 0.30% 0.004µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 52841649.251op/s 53599583.537op/s ± 158827.667op/s 53647422.437op/s ± 72037.037op/s 53703835.182op/s 53772560.979op/s 53800305.640op/s 53815765.830op/s 0.31% -1.707 3.571 0.30% 11230.812op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.832µs 10.923µs ± 0.045µs 10.915µs ± 0.031µs 10.950µs 11.009µs 11.039µs 11.047µs 1.21% 0.601 -0.178 0.41% 0.003µs 1 200
normalization/normalize_name/normalize_name/good throughput 90524330.851op/s 91555430.466op/s ± 378984.775op/s 91616556.564op/s ± 263052.983op/s 91847769.006op/s 92060513.642op/s 92162262.490op/s 92321546.002op/s 0.77% -0.583 -0.208 0.41% 26798.270op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... execution_time [204.835µs; 204.934µs] or [-0.024%; +0.024%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [4879638.616op/s; 4881983.656op/s] or [-0.024%; +0.024%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [18.649µs; 18.665µs] or [-0.041%; +0.041%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [53577571.550op/s; 53621595.524op/s] or [-0.041%; +0.041%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.916µs; 10.929µs] or [-0.058%; +0.058%] None None None
normalization/normalize_name/normalize_name/good throughput [91502906.821op/s; 91607954.110op/s] or [-0.057%; +0.057%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz bce4681 1767556634 gyuheon0h/fix-clippy-latest
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 536.024µs 536.869µs ± 0.508µs 536.774µs ± 0.243µs 537.079µs 537.657µs 538.496µs 540.674µs 0.73% 2.704 15.262 0.09% 0.036µs 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 [536.799µs; 536.940µs] or [-0.013%; +0.013%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz bce4681 1767556634 gyuheon0h/fix-clippy-latest
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/2597 execution_time 9.911ms 10.153ms ± 0.055ms 10.157ms ± 0.030ms 10.186ms 10.227ms 10.257ms 10.351ms 1.91% -0.769 3.295 0.54% 0.004ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
receiver_entry_point/report/2597 execution_time [10.145ms; 10.161ms] or [-0.074%; +0.074%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz bce4681 1767556634 gyuheon0h/fix-clippy-latest
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 3.911µs ± 0.002µs 3.911µs ± 0.001µs 3.912µs 3.915µs 3.916µs 3.918µs 0.16% -1.579 13.450 0.06% 0.000µs 1 200
credit_card/is_card_number/ throughput 255262531.074op/s 255678470.481op/s ± 156940.716op/s 255682869.251op/s ± 89291.208op/s 255765252.171op/s 255859082.944op/s 255913742.250op/s 256836914.285op/s 0.45% 1.603 13.645 0.06% 11097.384op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 77.344µs 78.285µs ± 0.530µs 78.206µs ± 0.331µs 78.621µs 79.163µs 79.533µs 79.914µs 2.18% 0.478 -0.241 0.67% 0.037µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12513500.894op/s 12774455.400op/s ± 86143.649op/s 12786711.630op/s ± 54356.678op/s 12836966.935op/s 12907027.891op/s 12924823.043op/s 12929282.481op/s 1.11% -0.447 -0.285 0.67% 6091.276op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 70.762µs 71.749µs ± 0.499µs 71.742µs ± 0.380µs 72.117µs 72.603µs 72.910µs 72.949µs 1.68% 0.143 -0.615 0.69% 0.035µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 13708267.505op/s 13938209.920op/s ± 96824.263op/s 13938923.199op/s ± 73384.689op/s 14012936.679op/s 14096428.183op/s 14126205.809op/s 14131795.955op/s 1.38% -0.115 -0.628 0.69% 6846.509op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.894µs 3.911µs ± 0.002µs 3.911µs ± 0.001µs 3.912µs 3.914µs 3.915µs 3.916µs 0.14% -2.299 18.345 0.06% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 255358201.319op/s 255709122.532op/s ± 142107.333op/s 255710645.997op/s ± 79239.625op/s 255787396.249op/s 255887101.549op/s 255954902.781op/s 256838294.469op/s 0.44% 2.324 18.580 0.06% 10048.506op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 67.921µs 68.618µs ± 0.348µs 68.589µs ± 0.253µs 68.852µs 69.206µs 69.578µs 69.654µs 1.55% 0.448 -0.112 0.51% 0.025µs 1 200
credit_card/is_card_number/378282246310005 throughput 14356769.054op/s 14573718.478op/s ± 73786.577op/s 14579616.239op/s ± 53702.584op/s 14632694.928op/s 14681339.615op/s 14711213.967op/s 14722998.877op/s 0.98% -0.422 -0.148 0.51% 5217.499op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 44.571µs 44.945µs ± 0.134µs 44.967µs ± 0.089µs 45.048µs 45.117µs 45.143µs 45.163µs 0.44% -0.711 -0.212 0.30% 0.009µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 22141865.014op/s 22249848.307op/s ± 66646.784op/s 22238742.273op/s ± 44049.424op/s 22287807.465op/s 22380618.917op/s 22415489.318op/s 22436126.712op/s 0.89% 0.723 -0.191 0.30% 4712.639op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 5.692µs 5.700µs ± 0.010µs 5.698µs ± 0.002µs 5.701µs 5.710µs 5.762µs 5.791µs 1.64% 6.133 45.298 0.18% 0.001µs 1 200
credit_card/is_card_number/x371413321323331 throughput 172675702.444op/s 175443501.670op/s ± 309257.882op/s 175502604.830op/s ± 74933.075op/s 175569231.493op/s 175638138.071op/s 175682675.743op/s 175694541.233op/s 0.11% -6.082 44.665 0.18% 21867.835op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.893µs 3.911µs ± 0.003µs 3.911µs ± 0.002µs 3.913µs 3.917µs 3.921µs 3.930µs 0.48% 0.821 9.205 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 254478376.553op/s 255664197.471op/s ± 214533.954op/s 255701764.342op/s ± 101285.926op/s 255790306.768op/s 255893313.344op/s 255957389.472op/s 256838694.351op/s 0.44% -0.795 9.207 0.08% 15169.841op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 61.165µs 62.328µs ± 0.541µs 62.310µs ± 0.359µs 62.661µs 63.304µs 63.576µs 63.699µs 2.23% 0.325 -0.243 0.87% 0.038µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15698943.793op/s 16045393.886op/s ± 138891.118op/s 16048804.337op/s ± 92453.749op/s 16142279.898op/s 16265957.914op/s 16306068.764op/s 16349114.731op/s 1.87% -0.283 -0.274 0.86% 9821.085op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 53.442µs 53.842µs ± 0.126µs 53.863µs ± 0.070µs 53.928µs 54.020µs 54.048µs 54.071µs 0.39% -0.878 0.523 0.23% 0.009µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 18494262.427op/s 18572977.246op/s ± 43703.949op/s 18565728.936op/s ± 24085.694op/s 18592676.103op/s 18664766.256op/s 18689819.658op/s 18712001.878op/s 0.79% 0.890 0.547 0.23% 3090.336op/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 3.916µs 3.917µs 0.16% -1.399 9.697 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 255279452.630op/s 255669739.835op/s ± 177012.717op/s 255677640.991op/s ± 111552.701op/s 255775172.327op/s 255908957.344op/s 255980005.540op/s 256889888.273op/s 0.47% 1.419 9.856 0.07% 12516.689op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 50.127µs 50.451µs ± 0.130µs 50.465µs ± 0.088µs 50.537µs 50.601µs 50.826µs 51.007µs 1.07% 0.222 1.555 0.26% 0.009µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 19605144.508op/s 19821256.505op/s ± 51174.406op/s 19815594.492op/s ± 34525.204op/s 19853576.889op/s 19902294.547op/s 19942365.971op/s 19949460.698op/s 0.68% -0.195 1.488 0.26% 3618.577op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 44.598µs 44.946µs ± 0.118µs 44.967µs ± 0.086µs 45.042µs 45.098µs 45.119µs 45.137µs 0.38% -0.649 -0.256 0.26% 0.008µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 22154955.934op/s 22249000.296op/s ± 58628.264op/s 22238425.137op/s ± 42497.394op/s 22285555.064op/s 22362672.991op/s 22387243.568op/s 22422561.722op/s 0.83% 0.659 -0.236 0.26% 4145.644op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 5.691µs 5.699µs ± 0.004µs 5.698µs ± 0.002µs 5.701µs 5.707µs 5.711µs 5.715µs 0.30% 1.128 1.347 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 174980376.987op/s 175475088.530op/s ± 131504.046op/s 175503157.361op/s ± 72946.732op/s 175565339.013op/s 175631748.076op/s 175663873.331op/s 175713335.101op/s 0.12% -1.124 1.330 0.07% 9298.740op/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; 3.911µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number/ throughput [255656720.007op/s; 255700220.955op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [78.211µs; 78.358µs] or [-0.094%; +0.094%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12762516.719op/s; 12786394.082op/s] or [-0.093%; +0.093%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [71.680µs; 71.818µs] or [-0.096%; +0.096%] None None None
credit_card/is_card_number/ 378282246310005 throughput [13924791.008op/s; 13951628.832op/s] or [-0.096%; +0.096%] None None None
credit_card/is_card_number/37828224631 execution_time [3.910µs; 3.911µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number/37828224631 throughput [255689427.823op/s; 255728817.242op/s] or [-0.008%; +0.008%] None None None
credit_card/is_card_number/378282246310005 execution_time [68.570µs; 68.667µs] or [-0.070%; +0.070%] None None None
credit_card/is_card_number/378282246310005 throughput [14563492.368op/s; 14583944.588op/s] or [-0.070%; +0.070%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [44.926µs; 44.963µs] or [-0.041%; +0.041%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [22240611.704op/s; 22259084.911op/s] or [-0.042%; +0.042%] None None None
credit_card/is_card_number/x371413321323331 execution_time [5.698µs; 5.701µs] or [-0.025%; +0.025%] None None None
credit_card/is_card_number/x371413321323331 throughput [175400641.502op/s; 175486361.838op/s] or [-0.024%; +0.024%] 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 [255634465.128op/s; 255693929.813op/s] or [-0.012%; +0.012%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [62.253µs; 62.403µs] or [-0.120%; +0.120%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [16026144.912op/s; 16064642.859op/s] or [-0.120%; +0.120%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [53.824µs; 53.859µs] or [-0.033%; +0.033%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [18566920.299op/s; 18579034.193op/s] or [-0.033%; +0.033%] 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 [255645207.575op/s; 255694272.095op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [50.433µs; 50.469µs] or [-0.036%; +0.036%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [19814164.225op/s; 19828348.786op/s] or [-0.036%; +0.036%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [44.930µs; 44.963µs] or [-0.036%; +0.036%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [22240874.982op/s; 22257125.610op/s] or [-0.037%; +0.037%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [5.698µs; 5.699µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [175456863.334op/s; 175493313.726op/s] or [-0.010%; +0.010%] None None None

Baseline

Omitted due to size.

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dd-octo-sts bot commented Jan 4, 2026

Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 87.06 MB 87.06 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 7.50 MB 7.50 MB 0% (0 B) 👌
aarch64-apple-darwin
Artifact Baseline Commit Change
/aarch64-apple-darwin/lib/libdatadog_profiling.a 58.87 MB 58.87 MB 0% (0 B) 👌
/aarch64-apple-darwin/lib/libdatadog_profiling.dylib 8.49 MB 8.49 MB 0% (0 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 100.74 MB 100.74 MB 0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 9.62 MB 9.62 MB 0% (0 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 20.06 MB 20.06 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 74.31 KB 74.31 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 142.08 MB 142.08 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 748.24 MB 748.24 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 6.41 MB 6.41 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 74.31 KB 74.31 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 19.90 MB 19.90 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 38.99 MB 38.99 MB 0% (0 B) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 17.11 MB 17.11 MB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 75.46 KB 75.46 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 144.71 MB 144.71 MB 0% (0 B) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 736.90 MB 736.90 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 4.92 MB 4.92 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 75.46 KB 75.46 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 21.16 MB 21.17 MB +.03% (+8.00 KB) 🔍
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 36.77 MB 36.77 MB 0% (0 B) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 75.34 MB 75.34 MB 0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 8.93 MB 8.93 MB 0% (0 B) 👌
x86_64-apple-darwin
Artifact Baseline Commit Change
/x86_64-apple-darwin/lib/libdatadog_profiling.a 60.20 MB 60.20 MB 0% (0 B) 👌
/x86_64-apple-darwin/lib/libdatadog_profiling.dylib 9.54 MB 9.54 MB 0% (0 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 94.90 MB 94.90 MB 0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 10.35 MB 10.35 MB 0% (0 B) 👌

@gyuheon0h gyuheon0h closed this Jan 6, 2026
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