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chore(versioning): bump workspace version to 30.0.0#1813

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r1viollet/bump-v30.0.0
Mar 27, 2026
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chore(versioning): bump workspace version to 30.0.0#1813
gh-worker-dd-mergequeue-cf854d[bot] merged 1 commit intomainfrom
r1viollet/bump-v30.0.0

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What does this PR do?

Bump version to 30.0.0

Motivation

Releasing

Additional Notes

NA

How to test the change?

NA

@r1viollet r1viollet requested a review from a team as a code owner March 27, 2026 16:54
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/merge

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gh-worker-devflow-routing-ef8351 bot commented Mar 27, 2026

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2026-03-27 18:10:19 UTC ℹ️ MergeQueue: This merge request was merged

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/merge

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Benchmarks

Comparison

Benchmark execution time: 2026-03-27 17:11:09

Comparing candidate commit d4d6538 in PR branch r1viollet/bump-v30.0.0 with baseline commit a29b90b in branch main.

Found 2 performance improvements and 1 performance regressions! Performance is the same for 59 metrics, 0 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:credit_card/is_card_number/378282246310005

  • 🟩 execution_time [-12.655µs; -12.514µs] or [-15.399%; -15.228%]
  • 🟩 throughput [+2188787.075op/s; +2211676.347op/s] or [+17.986%; +18.175%]

scenario:two way interface

  • 🟥 execution_time [+813.084ns; +1172.336ns] or [+5.809%; +8.375%]

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 d4d6538 1774630370 r1viollet/bump-v30.0.0
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 144.521µs 146.526µs ± 1.648µs 146.258µs ± 0.470µs 146.724µs 148.167µs 152.091µs 162.058µs 10.80% 5.481 42.751 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 [146.297µs; 146.754µs] or [-0.156%; +0.156%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz d4d6538 1774630370 r1viollet/bump-v30.0.0
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 185.713µs 186.160µs ± 0.350µs 186.118µs ± 0.119µs 186.223µs 186.608µs 187.839µs 188.674µs 1.37% 4.193 23.292 0.19% 0.025µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 5300149.451op/s 5371742.534op/s ± 10027.130op/s 5372944.832op/s ± 3429.605op/s 5376696.932op/s 5381367.890op/s 5382613.934op/s 5384651.938op/s 0.22% -4.150 22.900 0.19% 709.025op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 17.822µs 17.873µs ± 0.030µs 17.868µs ± 0.013µs 17.883µs 17.918µs 17.956µs 18.139µs 1.51% 3.907 30.286 0.17% 0.002µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 55130921.803op/s 55950277.158op/s ± 92825.220op/s 55965209.730op/s ± 39473.604op/s 55998993.938op/s 56066714.407op/s 56082551.270op/s 56111716.990op/s 0.26% -3.823 29.296 0.17% 6563.734op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.557µs 10.621µs ± 0.039µs 10.617µs ± 0.024µs 10.642µs 10.698µs 10.741µs 10.765µs 1.40% 0.986 1.021 0.37% 0.003µs 1 200
normalization/normalize_name/normalize_name/good throughput 92894439.512op/s 94150427.924op/s ± 346327.424op/s 94191488.611op/s ± 215932.848op/s 94405452.394op/s 94622788.637op/s 94691767.440op/s 94719706.765op/s 0.56% -0.963 0.955 0.37% 24489.047op/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 [186.111µs; 186.209µs] or [-0.026%; +0.026%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [5370352.870op/s; 5373132.197op/s] or [-0.026%; +0.026%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [17.869µs; 17.877µs] or [-0.023%; +0.023%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [55937412.476op/s; 55963141.841op/s] or [-0.023%; +0.023%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.616µs; 10.627µs] or [-0.051%; +0.051%] None None None
normalization/normalize_name/normalize_name/good throughput [94102430.274op/s; 94198425.575op/s] or [-0.051%; +0.051%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz d4d6538 1774630370 r1viollet/bump-v30.0.0
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 161.449µs 162.716µs ± 0.443µs 162.657µs ± 0.137µs 162.805µs 163.141µs 164.437µs 166.135µs 2.14% 4.823 33.955 0.27% 0.031µs 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 [162.655µs; 162.777µs] or [-0.038%; +0.038%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz d4d6538 1774630370 r1viollet/bump-v30.0.0
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 189.908ns 192.343ns ± 1.940ns 192.154ns ± 1.375ns 193.324ns 196.114ns 198.162ns 200.669ns 4.43% 1.018 1.421 1.01% 0.137ns 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 [192.074ns; 192.611ns] or [-0.140%; +0.140%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz d4d6538 1774630370 r1viollet/bump-v30.0.0
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 4.133ms 4.136ms ± 0.002ms 4.135ms ± 0.001ms 4.137ms 4.139ms 4.141ms 4.146ms 0.27% 1.637 5.312 0.04% 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 [4.136ms; 4.136ms] or [-0.006%; +0.006%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz d4d6538 1774630370 r1viollet/bump-v30.0.0
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 736.885µs 737.684µs ± 0.366µs 737.606µs ± 0.240µs 737.924µs 738.291µs 738.656µs 739.117µs 0.20% 0.808 0.952 0.05% 0.026µs 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 [737.633µs; 737.735µs] or [-0.007%; +0.007%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz d4d6538 1774630370 r1viollet/bump-v30.0.0
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 495.576µs 496.818µs ± 1.380µs 496.403µs ± 0.401µs 496.820µs 500.105µs 501.891µs 503.869µs 1.50% 2.553 7.260 0.28% 0.098µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1984642.396op/s 2012825.436op/s ± 5553.244op/s 2014491.243op/s ± 1627.107op/s 2016051.692op/s 2016945.898op/s 2017832.270op/s 2017854.877op/s 0.17% -2.531 7.103 0.28% 392.674op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 371.318µs 372.027µs ± 0.314µs 372.001µs ± 0.201µs 372.245µs 372.590µs 372.719µs 373.179µs 0.32% 0.333 0.273 0.08% 0.022µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2679682.311op/s 2687977.309op/s ± 2264.736op/s 2688162.147op/s ± 1453.411op/s 2689398.319op/s 2691664.868op/s 2692471.795op/s 2693112.248op/s 0.18% -0.327 0.264 0.08% 160.141op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 167.777µs 168.167µs ± 0.131µs 168.160µs ± 0.072µs 168.239µs 168.365µs 168.572µs 168.623µs 0.27% 0.243 1.036 0.08% 0.009µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5930404.633op/s 5946461.487op/s ± 4620.992op/s 5946700.142op/s ± 2540.363op/s 5948934.210op/s 5953778.615op/s 5955906.144op/s 5960302.445op/s 0.23% -0.236 1.029 0.08% 326.754op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 36.887µs 37.126µs ± 0.117µs 37.153µs ± 0.089µs 37.221µs 37.293µs 37.365µs 37.389µs 0.63% -0.147 -1.071 0.31% 0.008µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 26745967.125op/s 26935690.424op/s ± 85097.699op/s 26915670.465op/s ± 64048.107op/s 27016802.269op/s 27068595.881op/s 27086633.227op/s 27109993.523op/s 0.72% 0.156 -1.073 0.32% 6017.316op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 46.241µs 46.373µs ± 0.059µs 46.369µs ± 0.039µs 46.411µs 46.472µs 46.523µs 46.570µs 0.43% 0.443 0.283 0.13% 0.004µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21472996.783op/s 21564417.200op/s ± 27457.742op/s 21566082.535op/s ± 17953.634op/s 21583865.851op/s 21603309.100op/s 21615644.488op/s 21625990.813op/s 0.28% -0.435 0.268 0.13% 1941.556op/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 [496.627µs; 497.009µs] or [-0.039%; +0.039%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [2012055.810op/s; 2013595.063op/s] or [-0.038%; +0.038%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [371.984µs; 372.071µs] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2687663.439op/s; 2688291.180op/s] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [168.149µs; 168.185µs] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5945821.062op/s; 5947101.912op/s] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [37.110µs; 37.142µs] or [-0.044%; +0.044%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [26923896.702op/s; 26947484.147op/s] or [-0.044%; +0.044%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [46.365µs; 46.381µs] or [-0.018%; +0.018%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21560611.821op/s; 21568222.579op/s] or [-0.018%; +0.018%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz d4d6538 1774630370 r1viollet/bump-v30.0.0
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 289.648µs 290.425µs ± 0.569µs 290.355µs ± 0.222µs 290.578µs 291.050µs 292.850µs 294.819µs 1.54% 4.447 28.818 0.20% 0.040µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [290.346µs; 290.503µs] or [-0.027%; +0.027%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz d4d6538 1774630370 r1viollet/bump-v30.0.0
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 14.124µs 14.990µs ± 1.293µs 14.333µs ± 0.103µs 14.876µs 17.782µs 17.987µs 18.021µs 25.73% 1.534 0.539 8.61% 0.091µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [14.811µs; 15.169µs] or [-1.196%; +1.196%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz d4d6538 1774630370 r1viollet/bump-v30.0.0
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 13.746ms 13.799ms ± 0.028ms 13.796ms ± 0.014ms 13.811ms 13.839ms 13.913ms 13.979ms 1.33% 2.278 10.562 0.20% 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 [13.795ms; 13.803ms] or [-0.028%; +0.028%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz d4d6538 1774630370 r1viollet/bump-v30.0.0
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
redis/obfuscate_redis_string execution_time 34.009µs 34.558µs ± 0.831µs 34.181µs ± 0.082µs 34.342µs 36.290µs 36.325µs 37.790µs 10.56% 1.739 1.407 2.40% 0.059µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [34.443µs; 34.674µs] or [-0.333%; +0.333%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz d4d6538 1774630370 r1viollet/bump-v30.0.0
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 3.416ms 3.450ms ± 0.033ms 3.439ms ± 0.011ms 3.452ms 3.523ms 3.561ms 3.597ms 4.62% 1.910 3.268 0.96% 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 [3.446ms; 3.455ms] or [-0.134%; +0.134%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz d4d6538 1774630370 r1viollet/bump-v30.0.0
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 243.620ns 254.208ns ± 12.309ns 250.134ns ± 4.594ns 255.601ns 286.280ns 290.302ns 292.906ns 17.10% 1.769 2.095 4.83% 0.870ns 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 [252.503ns; 255.914ns] or [-0.671%; +0.671%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz d4d6538 1774630370 r1viollet/bump-v30.0.0
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profile_serialize_compressed_pprof_timestamped_x1000 execution_time 888.017µs 891.058µs ± 1.330µs 891.037µs ± 0.869µs 891.885µs 893.231µs 894.436µs 897.170µs 0.69% 0.605 1.611 0.15% 0.094µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_serialize_compressed_pprof_timestamped_x1000 execution_time [890.874µs; 891.242µs] or [-0.021%; +0.021%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz d4d6538 1774630370 r1viollet/bump-v30.0.0
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 5.649µs 5.702µs ± 0.022µs 5.701µs ± 0.015µs 5.714µs 5.744µs 5.760µs 5.786µs 1.49% 0.584 0.732 0.39% 0.002µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [5.699µs; 5.705µs] or [-0.054%; +0.054%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz d4d6538 1774630370 r1viollet/bump-v30.0.0
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 5.029µs 5.097µs ± 0.036µs 5.097µs ± 0.030µs 5.128µs 5.142µs 5.146µs 5.147µs 0.98% -0.233 -1.348 0.70% 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 [5.092µs; 5.102µs] 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 d4d6538 1774630370 r1viollet/bump-v30.0.0
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 14.793ms 14.830ms ± 0.015ms 14.828ms ± 0.008ms 14.837ms 14.854ms 14.871ms 14.901ms 0.49% 0.861 2.264 0.10% 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 [14.828ms; 14.832ms] or [-0.014%; +0.014%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz d4d6538 1774630370 r1viollet/bump-v30.0.0
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 3.912µs ± 0.002µs 3.913µs 3.917µs 3.920µs 3.923µs 0.27% -0.500 7.583 0.07% 0.000µs 1 200
credit_card/is_card_number/ throughput 254936948.220op/s 255614268.863op/s ± 187594.367op/s 255630557.963op/s ± 98429.090op/s 255720355.341op/s 255835696.538op/s 255873605.443op/s 256798094.331op/s 0.46% 0.521 7.695 0.07% 13264.925op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 78.978µs 79.616µs ± 0.333µs 79.578µs ± 0.218µs 79.807µs 80.205µs 80.506µs 80.968µs 1.75% 0.839 0.747 0.42% 0.024µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12350535.244op/s 12560564.344op/s ± 52432.937op/s 12566245.809op/s ± 34449.749op/s 12600527.333op/s 12628267.836op/s 12646983.770op/s 12661678.836op/s 0.76% -0.814 0.670 0.42% 3707.569op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 72.298µs 72.946µs ± 0.374µs 72.867µs ± 0.232µs 73.175µs 73.613µs 73.903µs 74.391µs 2.09% 0.826 0.503 0.51% 0.026µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 13442424.780op/s 13709034.875op/s ± 69954.769op/s 13723611.672op/s ± 43702.214op/s 13761627.803op/s 13800198.082op/s 13824222.210op/s 13831605.218op/s 0.79% -0.798 0.425 0.51% 4946.549op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.899µs 3.912µs ± 0.003µs 3.912µs ± 0.001µs 3.913µs 3.918µs 3.921µs 3.923µs 0.28% 0.489 3.518 0.07% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 254924824.593op/s 255609363.328op/s ± 183637.242op/s 255633292.493op/s ± 97256.040op/s 255726589.175op/s 255831167.198op/s 255903942.650op/s 256491018.300op/s 0.34% -0.478 3.536 0.07% 12985.114op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 69.211µs 69.594µs ± 0.243µs 69.548µs ± 0.145µs 69.719µs 70.024µs 70.238µs 70.758µs 1.74% 1.224 2.381 0.35% 0.017µs 1 200
credit_card/is_card_number/378282246310005 throughput 14132708.092op/s 14369305.709op/s ± 49963.820op/s 14378556.545op/s ± 29912.212op/s 14404566.248op/s 14429312.215op/s 14445275.264op/s 14448663.097op/s 0.49% -1.194 2.242 0.35% 3532.976op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 52.228µs 52.307µs ± 0.105µs 52.292µs ± 0.022µs 52.322µs 52.369µs 52.427µs 53.322µs 1.97% 8.243 74.671 0.20% 0.007µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 18754087.805op/s 19117984.857op/s ± 37599.673op/s 19123250.749op/s ± 8210.121op/s 19129976.634op/s 19139951.656op/s 19146031.664op/s 19146791.068op/s 0.12% -8.191 74.008 0.20% 2658.698op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 5.706µs 5.849µs ± 0.060µs 5.840µs ± 0.037µs 5.886µs 5.953µs 5.996µs 6.069µs 3.91% 0.477 0.339 1.02% 0.004µs 1 200
credit_card/is_card_number/x371413321323331 throughput 164782884.062op/s 170981651.130op/s ± 1734706.449op/s 171232240.817op/s ± 1100074.960op/s 172237392.041op/s 173482327.068op/s 174348574.923op/s 175267262.027op/s 2.36% -0.414 0.236 1.01% 122662.269op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.894µs 3.913µs ± 0.003µs 3.913µs ± 0.002µs 3.915µs 3.917µs 3.919µs 3.922µs 0.22% -1.138 7.986 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 254999923.211op/s 255566640.845op/s ± 191154.324op/s 255556109.151op/s ± 127756.894op/s 255701681.241op/s 255823757.302op/s 255908277.614op/s 256819579.274op/s 0.49% 1.157 8.118 0.07% 13516.652op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 63.680µs 64.349µs ± 0.207µs 64.342µs ± 0.112µs 64.468µs 64.693µs 64.920µs 65.024µs 1.06% 0.097 1.080 0.32% 0.015µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15378823.301op/s 15540451.131op/s ± 50088.331op/s 15541958.578op/s ± 27079.277op/s 15567683.047op/s 15624969.326op/s 15668979.810op/s 15703636.147op/s 1.04% -0.068 1.072 0.32% 3541.780op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 57.778µs 58.052µs ± 0.163µs 58.015µs ± 0.089µs 58.125µs 58.339µs 58.591µs 58.898µs 1.52% 1.626 4.492 0.28% 0.012µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 16978568.532op/s 17225984.758op/s ± 48217.022op/s 17236945.533op/s ± 26585.258op/s 17258473.525op/s 17281021.895op/s 17297964.691op/s 17307625.740op/s 0.41% -1.594 4.315 0.28% 3409.458op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.893µs 3.911µs ± 0.002µs 3.911µs ± 0.001µs 3.913µs 3.915µs 3.916µs 3.916µs 0.14% -2.095 18.587 0.06% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 255331760.535op/s 255671097.121op/s ± 151698.556op/s 255693633.230op/s ± 82677.633op/s 255761977.521op/s 255837565.138op/s 255900619.689op/s 256881681.423op/s 0.46% 2.124 18.853 0.06% 10726.708op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 54.662µs 54.994µs ± 0.146µs 54.960µs ± 0.073µs 55.052µs 55.258µs 55.358µs 55.973µs 1.84% 1.968 9.092 0.27% 0.010µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 17865605.882op/s 18183942.007op/s ± 48189.368op/s 18195122.802op/s ± 24061.872op/s 18213441.976op/s 18238980.808op/s 18257649.539op/s 18294237.275op/s 0.54% -1.911 8.634 0.26% 3407.503op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 52.218µs 52.307µs ± 0.041µs 52.304µs ± 0.025µs 52.329µs 52.374µs 52.405µs 52.509µs 0.39% 0.906 2.688 0.08% 0.003µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 19044203.183op/s 19118084.217op/s ± 15009.960op/s 19119132.760op/s ± 9165.549op/s 19128216.109op/s 19140666.041op/s 19144957.275op/s 19150303.049op/s 0.16% -0.897 2.649 0.08% 1061.364op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 5.708µs 5.850µs ± 0.066µs 5.852µs ± 0.049µs 5.899µs 5.964µs 6.002µs 6.005µs 2.61% 0.058 -0.463 1.13% 0.005µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 166533245.295op/s 170951938.598op/s ± 1931012.425op/s 170881205.994op/s ± 1411777.594op/s 172373358.894op/s 174193958.361op/s 175140695.141op/s 175189283.825op/s 2.52% -0.007 -0.471 1.13% 136543.198op/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 [255588270.088op/s; 255640267.638op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [79.569µs; 79.662µs] or [-0.058%; +0.058%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12553297.643op/s; 12567831.045op/s] or [-0.058%; +0.058%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [72.895µs; 72.998µs] or [-0.071%; +0.071%] None None None
credit_card/is_card_number/ 378282246310005 throughput [13699339.817op/s; 13718729.933op/s] or [-0.071%; +0.071%] None None None
credit_card/is_card_number/37828224631 execution_time [3.912µs; 3.913µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/37828224631 throughput [255583912.972op/s; 255634813.683op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/378282246310005 execution_time [69.560µs; 69.627µs] or [-0.048%; +0.048%] None None None
credit_card/is_card_number/378282246310005 throughput [14362381.204op/s; 14376230.214op/s] or [-0.048%; +0.048%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [52.292µs; 52.321µs] or [-0.028%; +0.028%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [19112773.904op/s; 19123195.810op/s] or [-0.027%; +0.027%] None None None
credit_card/is_card_number/x371413321323331 execution_time [5.841µs; 5.857µs] or [-0.141%; +0.141%] None None None
credit_card/is_card_number/x371413321323331 throughput [170741237.500op/s; 171222064.761op/s] or [-0.141%; +0.141%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.912µs; 3.913µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/ throughput [255540148.694op/s; 255593132.996op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [64.320µs; 64.378µs] or [-0.045%; +0.045%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15533509.370op/s; 15547392.892op/s] or [-0.045%; +0.045%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [58.030µs; 58.075µs] or [-0.039%; +0.039%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [17219302.343op/s; 17232667.174op/s] or [-0.039%; +0.039%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.911µs; 3.912µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255650073.160op/s; 255692121.082op/s] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [54.974µs; 55.014µs] or [-0.037%; +0.037%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [18177263.424op/s; 18190620.590op/s] or [-0.037%; +0.037%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [52.301µs; 52.312µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [19116003.981op/s; 19120164.453op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [5.841µs; 5.860µs] or [-0.157%; +0.157%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [170684318.847op/s; 171219558.348op/s] or [-0.157%; +0.157%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz d4d6538 1774630370 r1viollet/bump-v30.0.0
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 2.395µs 2.422µs ± 0.019µs 2.418µs ± 0.008µs 2.426µs 2.475µs 2.483µs 2.501µs 3.40% 1.930 3.713 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 [2.419µs; 2.425µs] or [-0.110%; +0.110%] None None None

Group 20

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz d4d6538 1774630370 r1viollet/bump-v30.0.0
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 4.117ms 4.121ms ± 0.008ms 4.120ms ± 0.001ms 4.122ms 4.125ms 4.129ms 4.222ms 2.48% 11.720 151.390 0.18% 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 [4.120ms; 4.122ms] or [-0.026%; +0.026%] None None None

Group 21

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz d4d6538 1774630370 r1viollet/bump-v30.0.0
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 50.484ms 50.750ms ± 1.258ms 50.582ms ± 0.038ms 50.631ms 50.734ms 58.501ms 62.985ms 24.52% 8.302 69.228 2.47% 0.089ms 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 [50.576ms; 50.925ms] or [-0.343%; +0.343%] None None None

Baseline

Omitted due to size.

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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.18%. Comparing base (a29b90b) to head (d4d6538).

Additional details and impacted files
@@            Coverage Diff             @@
##             main    #1813      +/-   ##
==========================================
+ Coverage   71.16%   71.18%   +0.01%     
==========================================
  Files         414      414              
  Lines       65739    65739              
==========================================
+ Hits        46786    46797      +11     
+ Misses      18953    18942      -11     
Components Coverage Δ
libdd-crashtracker 65.24% <ø> (-0.04%) ⬇️
libdd-crashtracker-ffi 34.47% <ø> (-0.77%) ⬇️
libdd-alloc 98.77% <ø> (ø)
libdd-data-pipeline 87.55% <ø> (ø)
libdd-data-pipeline-ffi 75.77% <ø> (ø)
libdd-common 79.79% <ø> (ø)
libdd-common-ffi 73.87% <ø> (ø)
libdd-telemetry 62.48% <ø> (ø)
libdd-telemetry-ffi 16.75% <ø> (ø)
libdd-dogstatsd-client 82.64% <ø> (ø)
datadog-ipc 72.56% <ø> (ø)
libdd-profiling 81.62% <ø> (ø)
libdd-profiling-ffi 64.94% <ø> (ø)
datadog-sidecar 30.83% <ø> (+0.04%) ⬆️
datdog-sidecar-ffi 9.59% <ø> (+0.22%) ⬆️
spawn-worker 54.69% <ø> (ø)
libdd-tinybytes 93.16% <ø> (ø)
libdd-trace-normalization 81.71% <ø> (ø)
libdd-trace-obfuscation 87.37% <ø> (ø)
libdd-trace-protobuf 68.25% <ø> (ø)
libdd-trace-utils 88.64% <ø> (ø)
datadog-tracer-flare 86.88% <ø> (ø)
libdd-log 74.69% <ø> (ø)
🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
  • 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

@datadog-prod-us1-5
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✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
Patch Coverage: 100.00%
Overall Coverage: 71.19% (+0.02%)

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: d4d6538 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!

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dd-octo-sts bot commented Mar 27, 2026

Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 8.76 MB 8.76 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 101.90 MB 101.90 MB +0% (+992 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 118.84 MB 118.84 MB +0% (+1.17 KB) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.36 MB 11.36 MB 0% (0 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 27.39 MB 27.39 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 80.69 KB 80.69 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 187.21 MB 187.18 MB --.01% (-32.00 KB) 💪
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 924.91 MB 924.91 MB +0% (+832 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 9.06 MB 9.06 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 80.69 KB 80.69 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 26.98 MB 26.98 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 61.28 MB 61.28 MB -0% (-224 B) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 23.20 MB 23.20 MB -0% (-512 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 81.94 KB 81.94 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 191.48 MB 191.45 MB --.01% (-24.00 KB) 💪
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 908.20 MB 908.20 MB +0% (+208 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 6.90 MB 6.90 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 81.94 KB 81.94 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 29.11 MB 29.11 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 57.68 MB 57.68 MB -0% (-100 B) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 88.72 MB 88.72 MB -0% (-144 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 10.32 MB 10.32 MB 0% (0 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 111.54 MB 111.54 MB -0% (-1.13 KB) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 12.07 MB 12.07 MB +0% (+8 B) 👌

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