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fix(windows): Use the correct/more precise SID for the sidecar#1776

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gh-worker-dd-mergequeue-cf854d[bot] merged 3 commits intomainfrom
bob/fix-windows-sidecar-identifier
Mar 23, 2026
Merged

fix(windows): Use the correct/more precise SID for the sidecar#1776
gh-worker-dd-mergequeue-cf854d[bot] merged 3 commits intomainfrom
bob/fix-windows-sidecar-identifier

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@bwoebi
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@bwoebi bwoebi commented Mar 21, 2026

Turns out the ProcessToken was the right authority all along.

Fixing APMS-18332.

Turns out the ProcessToken was the right authority all along.

Signed-off-by: Bob Weinand <bob.weinand@datadoghq.com>
@bwoebi bwoebi requested review from a team as code owners March 21, 2026 17:50
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github-actions bot commented Mar 21, 2026

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

  • Base Branch: origin/main
  • PR Branch: origin/bob/fix-windows-sidecar-identifier

Summary by Rule

Rule Base Branch PR Branch Change
unwrap_used 1 1 No change (0%)
Total 1 1 No change (0%)

Annotation Counts by File

File Base Branch PR Branch Change
datadog-sidecar/src/service/blocking.rs 1 1 No change (0%)

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 20 20 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 55 55 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 8 8 No change (0%)
libdd-trace-utils 15 15 No change (0%)
Total 195 195 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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datadog-prod-us1-3 bot commented Mar 21, 2026

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
Patch Coverage: 44.00%
Overall Coverage: 70.38% (-0.00%)

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 7e7c495 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!

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codecov-commenter commented Mar 21, 2026

Codecov Report

❌ Patch coverage is 44.00000% with 14 lines in your changes missing coverage. Please review.
✅ Project coverage is 70.37%. Comparing base (c722b20) to head (7e7c495).
⚠️ Report is 2 commits behind head on main.

Additional details and impacted files
@@            Coverage Diff             @@
##             main    #1776      +/-   ##
==========================================
- Coverage   70.37%   70.37%   -0.01%     
==========================================
  Files         410      410              
  Lines       62123    62138      +15     
==========================================
+ Hits        43722    43732      +10     
- Misses      18401    18406       +5     
Components Coverage Δ
libdd-crashtracker 64.82% <ø> (ø)
libdd-crashtracker-ffi 34.09% <ø> (ø)
libdd-alloc 98.77% <ø> (ø)
libdd-data-pipeline 87.96% <ø> (+0.22%) ⬆️
libdd-data-pipeline-ffi 75.43% <ø> (+1.28%) ⬆️
libdd-common 79.78% <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% <46.15%> (-0.22%) ⬇️
libdd-profiling 81.61% <ø> (ø)
libdd-profiling-ffi 64.94% <ø> (ø)
datadog-sidecar 30.67% <41.66%> (+0.06%) ⬆️
datdog-sidecar-ffi 8.84% <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 92.26% <ø> (ø)
libdd-trace-protobuf 68.25% <ø> (ø)
libdd-trace-utils 88.95% <ø> (ø)
datadog-tracer-flare 86.88% <ø> (ø)
libdd-log 74.69% <ø> (ø)
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dd-octo-sts bot commented Mar 21, 2026

Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 8.70 MB 8.70 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 101.45 MB 101.45 MB 0% (0 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.29 MB 11.29 MB 0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 118.20 MB 118.20 MB 0% (0 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 27.24 MB 27.24 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 80.34 KB 80.34 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 186.49 MB 186.50 MB +0% (+8.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 918.02 MB 918.02 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 9.00 MB 9.00 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 80.34 KB 80.34 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 26.84 MB 26.84 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 60.83 MB 60.83 MB 0% (0 B) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 23.07 MB 23.07 MB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 81.59 KB 81.59 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 190.54 MB 190.56 MB +.01% (+24.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 903.03 MB 903.03 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 6.86 MB 6.86 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 81.59 KB 81.59 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 28.94 MB 28.94 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 57.20 MB 57.20 MB 0% (0 B) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 88.28 MB 88.28 MB 0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 10.28 MB 10.28 MB 0% (0 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 110.96 MB 110.96 MB 0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 12.02 MB 12.02 MB 0% (0 B) 👌

Signed-off-by: Bob Weinand <bob.weinand@datadoghq.com>
@bwoebi bwoebi changed the title Use the correct/more precise SID for the sidecar fix(windows): Use the correct/more precise SID for the sidecar Mar 23, 2026
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pr-commenter bot commented Mar 23, 2026

Benchmarks

Comparison

Benchmark execution time: 2026-03-23 13:21:45

Comparing candidate commit 7e7c495 in PR branch bob/fix-windows-sidecar-identifier with baseline commit ed00b92 in branch main.

Found 5 performance improvements and 16 performance regressions! Performance is the same for 40 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:concentrator/add_spans_to_concentrator

  • 🟩 execution_time [-2.062ms; -2.056ms] or [-13.623%; -13.584%]

scenario:credit_card/is_card_number/ 3782-8224-6310-005

  • 🟥 execution_time [+4.223µs; +4.425µs] or [+5.591%; +5.858%]
  • 🟥 throughput [-735302.288op/s; -700417.772op/s] or [-5.553%; -5.290%]

scenario:credit_card/is_card_number/ 378282246310005

  • 🟥 execution_time [+4.735µs; +4.804µs] or [+6.903%; +7.003%]
  • 🟥 throughput [-954013.324op/s; -941054.524op/s] or [-6.545%; -6.456%]

scenario:credit_card/is_card_number/378282246310005

  • 🟥 execution_time [+5.255µs; +5.323µs] or [+8.113%; +8.217%]
  • 🟥 throughput [-1172347.606op/s; -1158032.605op/s] or [-7.594%; -7.502%]

scenario:credit_card/is_card_number/37828224631000521389798

  • 🟥 execution_time [+6.416µs; +6.445µs] or [+14.017%; +14.080%]
  • 🟥 throughput [-2698082.052op/s; -2684694.581op/s] or [-12.349%; -12.288%]

scenario:credit_card/is_card_number/x371413321323331

  • 🟩 execution_time [-593.388ns; -574.901ns] or [-9.219%; -8.932%]
  • 🟩 throughput [+15259029.474op/s; +15798531.027op/s] or [+9.822%; +10.169%]

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

  • 🟥 execution_time [+3.213µs; +3.263µs] or [+5.918%; +6.011%]
  • 🟥 throughput [-1045052.442op/s; -1028546.526op/s] or [-5.674%; -5.584%]

scenario:credit_card/is_card_number_no_luhn/378282246310005

  • 🟥 execution_time [+4.432µs; +4.515µs] or [+8.790%; +8.955%]
  • 🟥 throughput [-1630994.187op/s; -1601189.789op/s] or [-8.224%; -8.074%]

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

  • 🟥 execution_time [+6.451µs; +6.478µs] or [+14.104%; +14.165%]
  • 🟥 throughput [-2714222.237op/s; -2701333.587op/s] or [-12.414%; -12.355%]

scenario:credit_card/is_card_number_no_luhn/x371413321323331

  • 🟩 execution_time [-570.211ns; -552.777ns] or [-8.861%; -8.590%]
  • 🟩 throughput [+14621753.458op/s; +15127040.368op/s] or [+9.409%; +9.735%]

scenario:profile_add_sample_frames_x1000

  • 🟥 execution_time [+173.599µs; +174.392µs] or [+4.232%; +4.251%]

scenario:sql/obfuscate_sql_string

  • 🟥 execution_time [+3.631µs; +3.703µs] or [+4.277%; +4.362%]

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 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 160.457µs 160.921µs ± 0.254µs 160.872µs ± 0.150µs 161.073µs 161.313µs 161.864µs 162.147µs 0.79% 1.226 3.645 0.16% 0.018µs 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 [160.886µs; 160.957µs] 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 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 4.241ms 4.248ms ± 0.009ms 4.246ms ± 0.002ms 4.249ms 4.253ms 4.257ms 4.357ms 2.60% 10.737 133.818 0.20% 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 [4.247ms; 4.249ms] or [-0.028%; +0.028%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 495.368µs 496.174µs ± 0.824µs 496.065µs ± 0.257µs 496.356µs 496.780µs 497.264µs 505.806µs 1.96% 8.490 93.333 0.17% 0.058µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1977041.496op/s 2015426.547op/s ± 3301.838op/s 2015862.825op/s ± 1046.043op/s 2016706.565op/s 2017866.594op/s 2018575.194op/s 2018702.154op/s 0.14% -8.375 91.453 0.16% 233.475op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 370.431µs 371.408µs ± 0.287µs 371.419µs ± 0.182µs 371.589µs 371.922µs 372.016µs 372.036µs 0.17% -0.024 -0.081 0.08% 0.020µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2687913.493op/s 2692457.730op/s ± 2077.531op/s 2692377.546op/s ± 1319.315op/s 2693918.897op/s 2695788.781op/s 2696371.936op/s 2699555.548op/s 0.27% 0.029 -0.077 0.08% 146.904op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 168.182µs 168.643µs ± 0.185µs 168.646µs ± 0.126µs 168.762µs 168.916µs 169.141µs 169.243µs 0.35% 0.124 0.277 0.11% 0.013µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5908666.310op/s 5929708.116op/s ± 6519.605op/s 5929577.034op/s ± 4439.954op/s 5934174.070op/s 5940587.152op/s 5944246.379op/s 5945929.652op/s 0.28% -0.116 0.270 0.11% 461.006op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 38.265µs 38.347µs ± 0.038µs 38.346µs ± 0.021µs 38.365µs 38.416µs 38.440µs 38.457µs 0.29% 0.448 0.106 0.10% 0.003µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 26002775.091op/s 26077761.429op/s ± 25538.721op/s 26078314.750op/s ± 14576.746op/s 26094848.881op/s 26115446.983op/s 26127205.810op/s 26133266.751op/s 0.21% -0.442 0.100 0.10% 1805.860op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 46.195µs 46.318µs ± 0.221µs 46.284µs ± 0.035µs 46.323µs 46.436µs 46.595µs 48.426µs 4.63% 8.678 79.701 0.48% 0.016µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 20649908.119op/s 21590183.644op/s ± 98954.068op/s 21605841.383op/s ± 16210.167op/s 21621428.091op/s 21632996.770op/s 21642032.581op/s 21647147.767op/s 0.19% -8.586 78.510 0.46% 6997.109op/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 [496.060µs; 496.288µs] or [-0.023%; +0.023%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [2014968.944op/s; 2015884.150op/s] or [-0.023%; +0.023%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [371.368µs; 371.448µs] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2692169.805op/s; 2692745.656op/s] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [168.617µs; 168.668µs] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5928804.562op/s; 5930611.671op/s] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [38.342µs; 38.352µs] or [-0.014%; +0.014%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [26074222.008op/s; 26081300.850op/s] or [-0.014%; +0.014%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [46.288µs; 46.349µs] or [-0.066%; +0.066%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21576469.562op/s; 21603897.726op/s] or [-0.064%; +0.064%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 48.344ms 48.804ms ± 1.119ms 48.672ms ± 0.111ms 48.760ms 48.941ms 56.783ms 58.638ms 20.47% 7.694 59.454 2.29% 0.079ms 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 [48.649ms; 48.959ms] or [-0.318%; +0.318%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 3.426ms 3.460ms ± 0.027ms 3.451ms ± 0.011ms 3.469ms 3.509ms 3.567ms 3.585ms 3.88% 2.039 5.130 0.78% 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 [3.456ms; 3.463ms] or [-0.108%; +0.108%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 14.180ms 14.223ms ± 0.027ms 14.219ms ± 0.012ms 14.231ms 14.256ms 14.337ms 14.404ms 1.30% 2.757 12.807 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 [14.219ms; 14.226ms] or [-0.026%; +0.026%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 13.050ms 13.075ms ± 0.012ms 13.075ms ± 0.007ms 13.082ms 13.095ms 13.107ms 13.144ms 0.53% 1.273 4.771 0.09% 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 [13.074ms; 13.077ms] or [-0.013%; +0.013%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 88.322µs 88.571µs ± 0.217µs 88.555µs ± 0.072µs 88.621µs 88.758µs 89.230µs 90.926µs 2.68% 7.031 69.602 0.24% 0.015µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [88.541µs; 88.601µs] or [-0.034%; +0.034%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 3.911µs ± 0.002µs 3.911µs ± 0.001µs 3.913µs 3.915µs 3.917µs 3.918µs 0.17% -2.234 19.412 0.06% 0.000µs 1 200
credit_card/is_card_number/ throughput 255245764.637op/s 255666660.494op/s ± 153184.049op/s 255678548.573op/s ± 79086.410op/s 255746469.133op/s 255846981.536op/s 255909823.729op/s 256897605.256op/s 0.48% 2.264 19.683 0.06% 10831.748op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 79.498µs 79.857µs ± 0.234µs 79.823µs ± 0.160µs 80.002µs 80.262µs 80.484µs 80.710µs 1.11% 0.821 0.423 0.29% 0.017µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12390009.169op/s 12522528.934op/s ± 36640.900op/s 12527744.360op/s ± 25205.305op/s 12551287.206op/s 12566806.749op/s 12578391.757op/s 12578932.803op/s 0.41% -0.806 0.379 0.29% 2590.903op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 72.834µs 73.370µs ± 0.236µs 73.331µs ± 0.149µs 73.503µs 73.827µs 74.004µs 74.338µs 1.37% 0.808 0.940 0.32% 0.017µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 13452061.028op/s 13629761.172op/s ± 43755.106op/s 13636712.023op/s ± 27677.531op/s 13660145.855op/s 13685427.073op/s 13701402.780op/s 13729903.730op/s 0.68% -0.786 0.875 0.32% 3093.953op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.894µs 3.912µs ± 0.003µs 3.912µs ± 0.002µs 3.914µs 3.917µs 3.919µs 3.921µs 0.21% -0.757 5.695 0.07% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 255069188.390op/s 255608648.587op/s ± 191814.851op/s 255610651.297op/s ± 135856.208op/s 255739428.651op/s 255871108.688op/s 255966397.543op/s 256772435.755op/s 0.45% 0.773 5.789 0.07% 13563.358op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 69.720µs 70.069µs ± 0.213µs 70.033µs ± 0.139µs 70.189µs 70.459µs 70.753µs 70.920µs 1.27% 0.959 1.475 0.30% 0.015µs 1 200
credit_card/is_card_number/378282246310005 throughput 14100314.171op/s 14271879.029op/s ± 43360.080op/s 14278966.370op/s ± 28405.513op/s 14303558.011op/s 14330325.405op/s 14342328.759op/s 14343152.810op/s 0.45% -0.936 1.395 0.30% 3066.021op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 52.135µs 52.201µs ± 0.040µs 52.195µs ± 0.018µs 52.212µs 52.273µs 52.353µs 52.431µs 0.45% 1.965 6.862 0.08% 0.003µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 19072769.370op/s 19156906.318op/s ± 14553.842op/s 19158864.960op/s ± 6475.480op/s 19165544.664op/s 19174063.532op/s 19179833.211op/s 19181093.196op/s 0.12% -1.954 6.790 0.08% 1029.112op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 5.692µs 5.852µs ± 0.067µs 5.855µs ± 0.043µs 5.898µs 5.966µs 5.995µs 6.007µs 2.58% 0.021 -0.366 1.13% 0.005µs 1 200
credit_card/is_card_number/x371413321323331 throughput 166479165.924op/s 170890019.305op/s ± 1943723.692op/s 170781372.020op/s ± 1259259.113op/s 172461331.833op/s 173768192.005op/s 175526535.618op/s 175677528.638op/s 2.87% 0.034 -0.347 1.13% 137442.020op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.894µs 3.912µs ± 0.003µs 3.912µs ± 0.001µs 3.913µs 3.916µs 3.921µs 3.925µs 0.33% -0.230 11.350 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 254807765.130op/s 255626379.003op/s ± 182490.003op/s 255639375.122op/s ± 85415.295op/s 255730176.161op/s 255826451.179op/s 255929919.273op/s 256826750.319op/s 0.46% 0.259 11.465 0.07% 12903.992op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 64.192µs 64.422µs ± 0.169µs 64.389µs ± 0.082µs 64.482µs 64.749µs 64.870µs 65.528µs 1.77% 2.168 8.864 0.26% 0.012µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15260760.915op/s 15522864.392op/s ± 40434.818op/s 15530580.634op/s ± 19782.159op/s 15549284.842op/s 15570184.032op/s 15575616.668op/s 15578277.650op/s 0.31% -2.120 8.472 0.26% 2859.173op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 57.371µs 57.528µs ± 0.110µs 57.509µs ± 0.058µs 57.567µs 57.738µs 57.973µs 58.022µs 0.89% 1.838 4.449 0.19% 0.008µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 17234899.999op/s 17382801.085op/s ± 33214.689op/s 17388493.165op/s ± 17498.135op/s 17405348.677op/s 17419278.438op/s 17424594.748op/s 17430515.604op/s 0.24% -1.820 4.361 0.19% 2348.633op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.894µs 3.911µs ± 0.003µs 3.911µs ± 0.001µs 3.913µs 3.915µs 3.918µs 3.921µs 0.26% -0.903 11.340 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 255017801.878op/s 255670736.922op/s ± 167212.285op/s 255681514.241op/s ± 93786.011op/s 255774814.136op/s 255855218.436op/s 255963807.083op/s 256825125.191op/s 0.45% 0.928 11.488 0.07% 11823.694op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 54.572µs 54.900µs ± 0.224µs 54.822µs ± 0.146µs 55.071µs 55.295µs 55.415µs 55.912µs 1.99% 0.950 0.963 0.41% 0.016µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 17885330.403op/s 18215259.103op/s ± 73911.398op/s 18240797.681op/s ± 48539.718op/s 18272943.271op/s 18303503.474op/s 18315549.151op/s 18324531.050op/s 0.46% -0.925 0.849 0.40% 5226.325op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 52.137µs 52.201µs ± 0.035µs 52.196µs ± 0.021µs 52.218µs 52.268µs 52.301µs 52.313µs 0.22% 0.736 0.494 0.07% 0.002µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 19115749.247op/s 19156677.907op/s ± 12962.587op/s 19158390.849op/s ± 7604.709op/s 19165705.367op/s 19175706.489op/s 19179553.215op/s 19180140.882op/s 0.11% -0.732 0.487 0.07% 916.593op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 5.731µs 5.874µs ± 0.063µs 5.872µs ± 0.048µs 5.924µs 5.968µs 6.004µs 6.042µs 2.89% 0.002 -0.644 1.07% 0.004µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 165518503.752op/s 170270329.028op/s ± 1821436.572op/s 170295191.119op/s ± 1398429.139op/s 171651201.375op/s 173234256.538op/s 174136258.531op/s 174503087.062op/s 2.47% 0.041 -0.648 1.07% 128795.015op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
credit_card/is_card_number/ execution_time [3.911µs; 3.912µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number/ throughput [255645430.658op/s; 255687890.330op/s] or [-0.008%; +0.008%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [79.824µs; 79.889µs] or [-0.041%; +0.041%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12517450.857op/s; 12527607.010op/s] or [-0.041%; +0.041%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [73.337µs; 73.402µs] or [-0.045%; +0.045%] None None None
credit_card/is_card_number/ 378282246310005 throughput [13623697.135op/s; 13635825.209op/s] or [-0.044%; +0.044%] 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 [255582064.894op/s; 255635232.281op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/378282246310005 execution_time [70.039µs; 70.098µs] or [-0.042%; +0.042%] None None None
credit_card/is_card_number/378282246310005 throughput [14265869.739op/s; 14277888.319op/s] or [-0.042%; +0.042%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [52.195µs; 52.206µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [19154889.295op/s; 19158923.340op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/x371413321323331 execution_time [5.843µs; 5.862µs] or [-0.158%; +0.158%] None None None
credit_card/is_card_number/x371413321323331 throughput [170620637.895op/s; 171159400.715op/s] or [-0.158%; +0.158%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.912µs; 3.912µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/ throughput [255601087.643op/s; 255651670.362op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [64.398µs; 64.445µs] or [-0.036%; +0.036%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15517260.515op/s; 15528468.269op/s] or [-0.036%; +0.036%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [57.513µs; 57.544µs] or [-0.027%; +0.027%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [17378197.849op/s; 17387404.322op/s] or [-0.026%; +0.026%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.911µs; 3.912µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255647562.907op/s; 255693910.936op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [54.869µs; 54.931µs] or [-0.056%; +0.056%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [18205015.694op/s; 18225502.512op/s] or [-0.056%; +0.056%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [52.196µs; 52.206µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [19154881.417op/s; 19158474.397op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [5.865µs; 5.882µs] or [-0.148%; +0.148%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [170017895.437op/s; 170522762.619op/s] or [-0.148%; +0.148%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 2.287µs 2.359µs ± 0.017µs 2.362µs ± 0.005µs 2.367µs 2.373µs 2.378µs 2.387µs 1.07% -2.479 6.145 0.73% 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 [2.356µs; 2.361µs] or [-0.101%; +0.101%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 4.922µs 4.997µs ± 0.041µs 4.992µs ± 0.032µs 5.026µs 5.067µs 5.071µs 5.073µs 1.62% 0.452 -1.111 0.82% 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 [4.991µs; 5.003µs] or [-0.114%; +0.114%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 13.687µs 13.885µs ± 0.084µs 13.914µs ± 0.054µs 13.949µs 13.988µs 14.018µs 14.056µs 1.02% -0.540 -0.786 0.61% 0.006µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [13.873µs; 13.897µs] or [-0.084%; +0.084%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 729.608µs 731.163µs ± 0.623µs 731.116µs ± 0.384µs 731.522µs 732.309µs 732.990µs 733.228µs 0.29% 0.637 0.716 0.08% 0.044µs 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 [731.076µs; 731.249µs] or [-0.012%; +0.012%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 185.488µs 185.868µs ± 0.235µs 185.858µs ± 0.155µs 185.991µs 186.300µs 186.485µs 186.984µs 0.61% 1.001 2.012 0.13% 0.017µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 5348054.030op/s 5380179.147op/s ± 6798.990op/s 5380449.934op/s ± 4500.759op/s 5385480.583op/s 5389333.866op/s 5390546.292op/s 5391188.695op/s 0.20% -0.989 1.962 0.13% 480.761op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 17.901µs 17.986µs ± 0.046µs 17.978µs ± 0.026µs 18.009µs 18.066µs 18.107µs 18.263µs 1.59% 1.552 5.879 0.26% 0.003µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 54754357.688op/s 55597698.593op/s ± 141993.324op/s 55624774.908op/s ± 80159.924op/s 55698970.002op/s 55768101.812op/s 55846971.436op/s 55861463.570op/s 0.43% -1.511 5.600 0.25% 10040.444op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.132µs 10.201µs ± 0.028µs 10.204µs ± 0.019µs 10.221µs 10.250µs 10.264µs 10.267µs 0.62% -0.199 -0.219 0.28% 0.002µs 1 200
normalization/normalize_name/normalize_name/good throughput 97403963.013op/s 98028782.429op/s ± 271506.942op/s 98005586.332op/s ± 180852.601op/s 98220534.169op/s 98512153.042op/s 98674430.880op/s 98694466.605op/s 0.70% 0.213 -0.216 0.28% 19198.440op/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 [185.835µs; 185.900µs] or [-0.018%; +0.018%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [5379236.873op/s; 5381121.422op/s] or [-0.018%; +0.018%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [17.980µs; 17.993µs] or [-0.036%; +0.036%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [55578019.684op/s; 55617377.502op/s] or [-0.035%; +0.035%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.197µs; 10.205µs] or [-0.038%; +0.038%] None None None
normalization/normalize_name/normalize_name/good throughput [97991154.178op/s; 98066410.680op/s] or [-0.038%; +0.038%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 33.423µs 34.079µs ± 1.116µs 33.568µs ± 0.067µs 33.685µs 36.452µs 36.537µs 38.008µs 13.23% 1.733 1.197 3.27% 0.079µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [33.925µs; 34.234µs] or [-0.454%; +0.454%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 190.055ns 192.570ns ± 2.175ns 192.315ns ± 1.365ns 193.543ns 196.404ns 199.771ns 201.764ns 4.91% 1.375 2.628 1.13% 0.154ns 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 [192.268ns; 192.871ns] or [-0.157%; +0.157%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 5.273µs 5.494µs ± 0.070µs 5.485µs ± 0.056µs 5.559µs 5.605µs 5.617µs 5.619µs 2.43% 0.006 -0.789 1.28% 0.005µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [5.485µs; 5.504µs] or [-0.177%; +0.177%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 144.741µs 146.552µs ± 1.624µs 146.269µs ± 0.463µs 146.814µs 147.981µs 154.137µs 162.158µs 10.86% 5.927 47.524 1.11% 0.115µs 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 [146.326µs; 146.777µs] or [-0.154%; +0.154%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 4.271ms 4.276ms ± 0.002ms 4.276ms ± 0.001ms 4.277ms 4.279ms 4.285ms 4.288ms 0.30% 1.652 5.984 0.05% 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 [4.276ms; 4.276ms] or [-0.007%; +0.007%] None None None

Group 20

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 7e7c495 1774271068 bob/fix-windows-sidecar-identifier
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 240.106ns 250.982ns ± 13.390ns 244.823ns ± 2.943ns 251.586ns 283.219ns 285.614ns 286.464ns 17.01% 1.605 1.203 5.32% 0.947ns 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 [249.127ns; 252.838ns] or [-0.739%; +0.739%] None None None

Baseline

Omitted due to size.

Co-authored-by: Alexandre Rulleau <55387832+Leiyks@users.noreply.github.com>
@bwoebi
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bwoebi commented Mar 23, 2026

/merge

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gh-worker-devflow-routing-ef8351 bot commented Mar 23, 2026

View all feedbacks in Devflow UI.

2026-03-23 13:04:39 UTC ℹ️ Start processing command /merge


2026-03-23 13:04:44 UTC ℹ️ MergeQueue: waiting for PR to be ready

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2026-03-23 13:40:29 UTC ℹ️ MergeQueue: merge request added to the queue

The expected merge time in main is approximately 45m (p90).


2026-03-23 14:17:54 UTC ℹ️ MergeQueue: This merge request was merged

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3 participants