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feat(obfuscation/sql): feature parity on sql obfuscation [APMSP-2667]#1708

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gh-worker-dd-mergequeue-cf854d[bot] merged 11 commits into
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oscarld/obfuscation-sql-parity-cleaned
Mar 24, 2026
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feat(obfuscation/sql): feature parity on sql obfuscation [APMSP-2667]#1708
gh-worker-dd-mergequeue-cf854d[bot] merged 11 commits into
mainfrom
oscarld/obfuscation-sql-parity-cleaned

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@Eldolfin
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@Eldolfin Eldolfin commented Mar 11, 2026

What does this PR do?

Implements missing features from agent's sql obfuscation.
Ran a fuzzer to find output difference between this obfuscator and the agent's obfuscator, fixed issues one by one, even the nonsensical edge cases.

Motivation

Reach 100% parity between obfuscation libs.

Additional Notes

Anything else we should know when reviewing?

How to test the change?

Describe here in detail how the change can be validated.

@Eldolfin Eldolfin requested review from a team as code owners March 11, 2026 12:57
@Eldolfin Eldolfin requested review from Copilot and removed request for a team March 11, 2026 12:57
Copilot AI reviewed Mar 11, 2026
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github-actions Bot commented Mar 11, 2026 •
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Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

  • Base Branch: origin/main
  • PR Branch: origin/oscarld/obfuscation-sql-parity-cleaned

Summary by Rule

Rule Base Branch PR Branch Change

Annotation Counts by File

File Base Branch PR Branch Change

Annotation Stats by Crate

Crate Base Branch PR Branch Change
clippy-annotation-reporter 5 5 No change (0%)
datadog-ffe-ffi 1 1 No change (0%)
datadog-ipc 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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codecov-commenter commented Mar 11, 2026 •
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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.00%. Comparing base (adaeb4e) to head (8605260).

Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #1708      +/-   ##
==========================================
+ Coverage   70.47%   71.00%   +0.53%     
==========================================
  Files         411      411              
  Lines       62220    64794    +2574     
==========================================
+ Hits        43847    46010    +2163     
- Misses      18373    18784     +411
Components Coverage Δ
libdd-crashtracker 65.26% <ø> (-0.02%) ⬇️
libdd-crashtracker-ffi 34.98% <ø> (ø)
libdd-alloc 98.77% <ø> (ø)
libdd-data-pipeline 87.61% <ø> (ø)
libdd-data-pipeline-ffi 73.45% <ø> (ø)
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% <ø> (+2.24%) ⬆️
libdd-profiling 81.60% <ø> (-0.02%) ⬇️
libdd-profiling-ffi 64.94% <ø> (ø)
datadog-sidecar 31.63% <ø> (ø)
datdog-sidecar-ffi 13.34% <ø> (ø)
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> (-4.90%) ⬇️
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)
🚀 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.

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pr-commenter Bot commented Mar 11, 2026 •
edited
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Benchmarks

Comparison

Benchmark execution time: 2026-03-24 19:27:06

Comparing candidate commit 8605260 in PR branch oscarld/obfuscation-sql-parity-cleaned with baseline commit adaeb4e in branch main.

Found 12 performance improvements and 6 performance regressions! Performance is the same for 43 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 [-5.403µs; -5.322µs] or [-7.369%; -7.258%]
  • 🟩 throughput [+1068330.473op/s; +1083588.323op/s] or [+7.833%; +7.945%]

scenario:credit_card/is_card_number/378282246310005

  • 🟩 execution_time [-5.684µs; -5.615µs] or [-8.056%; -7.958%]
  • 🟩 throughput [+1226605.190op/s; +1240571.862op/s] or [+8.654%; +8.752%]

scenario:credit_card/is_card_number/37828224631000521389798

  • 🟩 execution_time [-7.534µs; -7.513µs] or [-14.169%; -14.129%]
  • 🟩 throughput [+3094671.855op/s; +3104229.743op/s] or [+16.456%; +16.507%]

scenario:credit_card/is_card_number/x371413321323331

  • 🟥 execution_time [+394.381ns; +396.470ns] or [+6.122%; +6.154%]
  • 🟥 throughput [-9000185.467op/s; -8951903.965op/s] or [-5.798%; -5.767%]

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

  • 🟩 execution_time [-5.054µs; -5.018µs] or [-8.645%; -8.583%]
  • 🟩 throughput [+1606886.125op/s; +1617646.649op/s] or [+9.394%; +9.457%]

scenario:credit_card/is_card_number_no_luhn/378282246310005

  • 🟩 execution_time [-5.447µs; -5.385µs] or [-9.789%; -9.677%]
  • 🟩 throughput [+1927493.294op/s; +1947621.132op/s] or [+10.725%; +10.837%]

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

  • 🟩 execution_time [-7.542µs; -7.517µs] or [-14.184%; -14.137%]
  • 🟩 throughput [+3096732.473op/s; +3108304.580op/s] or [+16.466%; +16.528%]

scenario:credit_card/is_card_number_no_luhn/x371413321323331

  • 🟥 execution_time [+393.041ns; +395.005ns] or [+6.100%; +6.131%]
  • 🟥 throughput [-8966971.405op/s; -8921664.599op/s] or [-5.778%; -5.748%]

scenario:receiver_entry_point/report/2598

  • 🟥 execution_time [+168.199µs; +182.158µs] or [+4.842%; +5.244%]

scenario:sql/obfuscate_sql_string

  • 🟥 execution_time [+196.790µs; +196.945µs] or [+220.220%; +220.393%]

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 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 4.188ms 4.196ms ± 0.003ms 4.196ms ± 0.002ms 4.198ms 4.202ms 4.204ms 4.209ms 0.31% 0.506 0.736 0.08% 0.000ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample_frames_x1000 execution_time [4.196ms; 4.197ms] or [-0.011%; +0.011%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 144.665µs 146.661µs ± 1.687µs 146.422µs ± 0.499µs 146.917µs 148.294µs 153.644µs 162.828µs 11.20% 6.021 48.415 1.15% 0.119µs 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 [146.428µs; 146.895µs] or [-0.159%; +0.159%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 4.189ms 4.194ms ± 0.008ms 4.193ms ± 0.001ms 4.195ms 4.197ms 4.201ms 4.299ms 2.53% 11.989 156.757 0.19% 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 [4.193ms; 4.195ms] 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 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 4.959µs 5.030µs ± 0.043µs 5.036µs ± 0.041µs 5.071µs 5.082µs 5.090µs 5.103µs 1.31% -0.134 -1.640 0.85% 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 [5.024µs; 5.036µs] or [-0.118%; +0.118%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 13.058ms 13.088ms ± 0.014ms 13.087ms ± 0.008ms 13.095ms 13.109ms 13.123ms 13.163ms 0.58% 1.086 3.943 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 [13.086ms; 13.090ms] or [-0.015%; +0.015%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 736.562µs 738.303µs ± 0.695µs 738.261µs ± 0.454µs 738.800µs 739.442µs 739.898µs 740.261µs 0.27% 0.017 -0.081 0.09% 0.049µs 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 [738.207µs; 738.399µs] or [-0.013%; +0.013%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 185.623µs 186.040µs ± 0.198µs 186.040µs ± 0.148µs 186.185µs 186.389µs 186.458µs 186.520µs 0.26% 0.218 -0.746 0.11% 0.014µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 5361348.883op/s 5375200.511op/s ± 5713.933op/s 5375185.242op/s ± 4262.251op/s 5379575.267op/s 5383740.760op/s 5384808.426op/s 5387275.766op/s 0.22% -0.215 -0.749 0.11% 404.036op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 17.817µs 17.888µs ± 0.094µs 17.881µs ± 0.023µs 17.900µs 17.938µs 17.955µs 19.144µs 7.07% 11.866 155.481 0.53% 0.007µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 52234724.416op/s 55905596.563op/s ± 277918.468op/s 55926072.312op/s ± 70686.474op/s 56000210.826op/s 56070462.761op/s 56102915.983op/s 56125456.904op/s 0.36% -11.598 150.757 0.50% 19651.803op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.541µs 10.598µs ± 0.027µs 10.596µs ± 0.018µs 10.614µs 10.640µs 10.655µs 10.735µs 1.31% 0.779 2.522 0.25% 0.002µs 1 200
normalization/normalize_name/normalize_name/good throughput 93154495.664op/s 94356741.704op/s ± 235991.008op/s 94374692.043op/s ± 156433.839op/s 94527336.264op/s 94683880.023op/s 94838973.820op/s 94863675.106op/s 0.52% -0.750 2.386 0.25% 16687.084op/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 [186.012µs; 186.067µs] or [-0.015%; +0.015%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [5374408.615op/s; 5375992.408op/s] or [-0.015%; +0.015%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [17.875µs; 17.901µs] or [-0.073%; +0.073%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [55867079.737op/s; 55944113.390op/s] or [-0.069%; +0.069%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.594µs; 10.602µs] or [-0.035%; +0.035%] None None None
normalization/normalize_name/normalize_name/good throughput [94324035.620op/s; 94389447.788op/s] or [-0.035%; +0.035%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 3.605ms 3.649ms ± 0.039ms 3.636ms ± 0.013ms 3.654ms 3.738ms 3.782ms 3.824ms 5.18% 1.849 3.104 1.07% 0.003ms 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 [3.643ms; 3.654ms] or [-0.148%; +0.148%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 285.564µs 286.228µs ± 0.539µs 286.128µs ± 0.185µs 286.380µs 286.841µs 288.033µs 290.512µs 1.53% 5.006 34.541 0.19% 0.038µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [286.154µs; 286.303µs] or [-0.026%; +0.026%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 190.201ns 192.749ns ± 2.089ns 192.444ns ± 1.368ns 193.734ns 196.389ns 196.919ns 206.743ns 7.43% 1.904 8.654 1.08% 0.148ns 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 [192.460ns; 193.039ns] or [-0.150%; +0.150%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 495.396µs 496.892µs ± 1.684µs 496.421µs ± 0.392µs 496.934µs 499.567µs 505.631µs 508.152µs 2.36% 4.043 20.871 0.34% 0.119µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1967916.833op/s 2012534.462op/s ± 6730.569op/s 2014420.791op/s ± 1590.033op/s 2015676.871op/s 2017134.052op/s 2018396.151op/s 2018587.603op/s 0.21% -3.978 20.252 0.33% 475.923op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 371.306µs 372.199µs ± 0.353µs 372.175µs ± 0.250µs 372.450µs 372.810µs 372.948µs 373.180µs 0.27% 0.172 -0.305 0.09% 0.025µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2679670.135op/s 2686737.025op/s ± 2548.230op/s 2686905.216op/s ± 1800.989op/s 2688611.425op/s 2690541.786op/s 2692736.717op/s 2693199.285op/s 0.23% -0.167 -0.306 0.09% 180.187op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 167.845µs 168.308µs ± 0.198µs 168.301µs ± 0.118µs 168.410µs 168.679µs 168.782µs 169.058µs 0.45% 0.467 0.521 0.12% 0.014µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5915113.445op/s 5941498.759op/s ± 6986.505op/s 5941740.270op/s ± 4166.772op/s 5946166.246op/s 5952197.295op/s 5956374.164op/s 5957884.408op/s 0.27% -0.459 0.507 0.12% 494.021op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 36.847µs 37.038µs ± 0.110µs 37.056µs ± 0.093µs 37.134µs 37.195µs 37.223µs 37.283µs 0.61% -0.125 -1.164 0.30% 0.008µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 26822035.314op/s 26999741.402op/s ± 80449.799op/s 26986187.550op/s ± 67781.044op/s 27078200.191op/s 27124500.082op/s 27138292.136op/s 27139194.164op/s 0.57% 0.132 -1.166 0.30% 5688.660op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 46.314µs 46.429µs ± 0.115µs 46.416µs ± 0.038µs 46.455µs 46.522µs 46.595µs 47.848µs 3.08% 9.603 116.048 0.25% 0.008µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 20899427.774op/s 21538337.899op/s ± 51931.392op/s 21544127.460op/s ± 17608.912op/s 21560746.506op/s 21577511.745op/s 21585687.998op/s 21591836.558op/s 0.22% -9.413 112.881 0.24% 3672.104op/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 [496.658µs; 497.125µs] or [-0.047%; +0.047%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [2011601.669op/s; 2013467.254op/s] or [-0.046%; +0.046%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [372.150µs; 372.248µs] or [-0.013%; +0.013%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2686383.865op/s; 2687090.185op/s] or [-0.013%; +0.013%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [168.280µs; 168.335µs] or [-0.016%; +0.016%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5940530.496op/s; 5942467.021op/s] or [-0.016%; +0.016%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [37.022µs; 37.053µs] or [-0.041%; +0.041%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [26988591.834op/s; 27010890.971op/s] or [-0.041%; +0.041%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [46.413µs; 46.445µs] or [-0.034%; +0.034%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21531140.707op/s; 21545535.090op/s] or [-0.033%; +0.033%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 3.897µs 3.915µs ± 0.007µs 3.914µs ± 0.002µs 3.916µs 3.920µs 3.924µs 3.979µs 1.66% 6.664 58.042 0.17% 0.000µs 1 200
credit_card/is_card_number/ throughput 251308179.565op/s 255428998.267op/s ± 430914.321op/s 255481656.432op/s ± 130518.973op/s 255605526.787op/s 255733302.935op/s 255796080.130op/s 256619940.745op/s 0.45% -6.584 57.121 0.17% 30470.244op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 79.119µs 79.962µs ± 0.195µs 79.987µs ± 0.075µs 80.063µs 80.149µs 80.223µs 80.993µs 1.26% -1.102 7.824 0.24% 0.014µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12346688.697op/s 12506054.015op/s ± 30612.094op/s 12502028.454op/s ± 11796.992op/s 12513318.871op/s 12586541.234op/s 12609029.582op/s 12639208.240op/s 1.10% 1.164 7.729 0.24% 2164.602op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 67.803µs 67.963µs ± 0.078µs 67.961µs ± 0.042µs 68.000µs 68.068µs 68.109µs 68.630µs 0.98% 3.174 25.645 0.11% 0.005µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 14570987.785op/s 14713957.374op/s ± 16742.235op/s 14714250.499op/s ± 9023.576op/s 14723312.523op/s 14737070.943op/s 14742524.074op/s 14748584.958op/s 0.23% -3.115 25.003 0.11% 1183.855op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.892µs 3.915µs ± 0.003µs 3.915µs ± 0.002µs 3.917µs 3.919µs 3.920µs 3.921µs 0.15% -1.933 13.170 0.08% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 255047036.463op/s 255438782.335op/s ± 199657.561op/s 255439307.657op/s ± 134743.301op/s 255557423.814op/s 255727578.365op/s 255771373.253op/s 256917103.359op/s 0.58% 1.960 13.412 0.08% 14117.922op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 64.792µs 64.902µs ± 0.052µs 64.894µs ± 0.033µs 64.930µs 64.990µs 65.043µs 65.068µs 0.27% 0.432 0.188 0.08% 0.004µs 1 200
credit_card/is_card_number/378282246310005 throughput 15368636.579op/s 15407783.964op/s ± 12407.857op/s 15409709.887op/s ± 7761.068op/s 15416437.130op/s 15427305.614op/s 15431780.527op/s 15434093.335op/s 0.16% -0.427 0.182 0.08% 877.368op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 45.488µs 45.651µs ± 0.066µs 45.650µs ± 0.044µs 45.695µs 45.764µs 45.799µs 45.833µs 0.40% 0.021 -0.031 0.14% 0.005µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 21818539.570op/s 21905256.782op/s ± 31836.234op/s 21905933.754op/s ± 20892.593op/s 21924846.016op/s 21955395.090op/s 21981002.369op/s 21983806.728op/s 0.36% -0.012 -0.031 0.14% 2251.162op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.827µs 6.838µs ± 0.005µs 6.838µs ± 0.003µs 6.841µs 6.845µs 6.848µs 6.853µs 0.21% -0.081 0.217 0.07% 0.000µs 1 200
credit_card/is_card_number/x371413321323331 throughput 145920693.749op/s 146242641.727op/s ± 98271.785op/s 146233507.630op/s ± 55872.579op/s 146298134.700op/s 146427944.345op/s 146460998.571op/s 146472881.943op/s 0.16% 0.086 0.213 0.07% 6948.865op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.897µs 3.915µs ± 0.003µs 3.915µs ± 0.002µs 3.917µs 3.919µs 3.922µs 3.922µs 0.18% -0.994 5.450 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 254965897.438op/s 255437930.282op/s ± 197524.533op/s 255421189.795op/s ± 120560.353op/s 255568722.493op/s 255743378.190op/s 255795651.686op/s 256631488.232op/s 0.47% 1.009 5.542 0.08% 13967.094op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 65.122µs 65.758µs ± 0.066µs 65.762µs ± 0.036µs 65.798µs 65.837µs 65.857µs 65.886µs 0.19% -4.438 40.705 0.10% 0.005µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15177780.919op/s 15207177.269op/s ± 15385.189op/s 15206369.064op/s ± 8359.161op/s 15214775.576op/s 15225743.972op/s 15233653.524op/s 15355696.647op/s 0.98% 4.508 41.579 0.10% 1087.897op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 53.350µs 53.426µs ± 0.042µs 53.423µs ± 0.026µs 53.447µs 53.492µs 53.557µs 53.631µs 0.39% 1.081 2.841 0.08% 0.003µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 18645863.966op/s 18717647.091op/s ± 14577.122op/s 18718638.502op/s ± 9123.330op/s 18728174.641op/s 18737818.923op/s 18743005.015op/s 18744004.162op/s 0.14% -1.072 2.803 0.08% 1030.758op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.899µs 3.914µs ± 0.003µs 3.914µs ± 0.001µs 3.915µs 3.918µs 3.920µs 3.929µs 0.40% 0.302 7.622 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 254485696.360op/s 255502512.809op/s ± 180153.882op/s 255507907.974op/s ± 76003.794op/s 255576308.701op/s 255771515.535op/s 255830063.514op/s 256452670.380op/s 0.37% -0.282 7.604 0.07% 12738.803op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 50.147µs 50.227µs ± 0.035µs 50.234µs ± 0.026µs 50.252µs 50.276µs 50.299µs 50.312µs 0.16% -0.107 -0.702 0.07% 0.002µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 19875926.516op/s 19909777.587op/s ± 13782.501op/s 19906913.290op/s ± 10341.639op/s 19921449.230op/s 19931743.347op/s 19938930.684op/s 19941231.198op/s 0.17% 0.109 -0.703 0.07% 974.570op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 45.396µs 45.643µs ± 0.082µs 45.650µs ± 0.055µs 45.696µs 45.771µs 45.807µs 45.825µs 0.38% -0.408 0.053 0.18% 0.006µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 21822071.202op/s 21909378.462op/s ± 39344.603op/s 21905702.055op/s ± 26213.782op/s 21937219.793op/s 21982120.262op/s 22007389.616op/s 22028195.285op/s 0.56% 0.419 0.065 0.18% 2782.084op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.827µs 6.837µs ± 0.004µs 6.837µs ± 0.003µs 6.840µs 6.844µs 6.847µs 6.850µs 0.19% 0.185 -0.186 0.06% 0.000µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 145985882.177op/s 146258970.259op/s ± 94435.116op/s 146268215.927op/s ± 63911.293op/s 146321567.800op/s 146420931.293op/s 146453197.673op/s 146468907.945op/s 0.14% -0.181 -0.188 0.06% 6677.571op/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 [3.914µs; 3.916µs] or [-0.024%; +0.024%] None None None
credit_card/is_card_number/ throughput [255369277.686op/s; 255488718.847op/s] or [-0.023%; +0.023%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [79.935µs; 79.989µs] or [-0.034%; +0.034%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12501811.473op/s; 12510296.557op/s] or [-0.034%; +0.034%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [67.952µs; 67.974µs] or [-0.016%; +0.016%] None None None
credit_card/is_card_number/ 378282246310005 throughput [14711637.061op/s; 14716277.686op/s] or [-0.016%; +0.016%] None None None
credit_card/is_card_number/37828224631 execution_time [3.914µs; 3.915µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/37828224631 throughput [255411111.717op/s; 255466452.953op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/378282246310005 execution_time [64.895µs; 64.910µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/378282246310005 throughput [15406064.354op/s; 15409503.573op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [45.642µs; 45.660µs] or [-0.020%; +0.020%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [21900844.586op/s; 21909668.978op/s] or [-0.020%; +0.020%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.837µs; 6.839µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/x371413321323331 throughput [146229022.203op/s; 146256261.251op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.914µs; 3.915µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/ throughput [255410555.282op/s; 255465305.283op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [65.749µs; 65.768µs] or [-0.014%; +0.014%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15205045.029op/s; 15209309.508op/s] or [-0.014%; +0.014%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [53.420µs; 53.431µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [18715626.842op/s; 18719667.340op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.913µs; 3.914µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255477545.213op/s; 255527480.404op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [50.222µs; 50.231µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [19907867.465op/s; 19911687.709op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [45.631µs; 45.654µs] or [-0.025%; +0.025%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [21903925.679op/s; 21914831.246op/s] or [-0.025%; +0.025%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.837µs; 6.838µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [146245882.461op/s; 146272058.058op/s] or [-0.009%; +0.009%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 2.343µs 2.371µs ± 0.013µs 2.368µs ± 0.008µs 2.376µs 2.401µs 2.414µs 2.420µs 2.17% 1.307 2.143 0.54% 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 [2.369µs; 2.372µs] or [-0.075%; +0.075%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 161.659µs 162.410µs ± 0.452µs 162.324µs ± 0.150µs 162.479µs 163.127µs 163.513µs 166.592µs 2.63% 4.721 36.835 0.28% 0.032µs 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 [162.347µs; 162.472µs] or [-0.039%; +0.039%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 13.962ms 14.012ms ± 0.031ms 14.007ms ± 0.014ms 14.024ms 14.078ms 14.146ms 14.183ms 1.25% 2.274 8.035 0.22% 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 [14.008ms; 14.016ms] or [-0.030%; +0.030%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 50.191ms 50.886ms ± 1.150ms 50.797ms ± 0.125ms 50.908ms 51.127ms 57.595ms 61.939ms 21.94% 7.794 64.192 2.25% 0.081ms 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 [50.727ms; 51.046ms] or [-0.313%; +0.313%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 243.307ns 253.595ns ± 12.684ns 247.905ns ± 3.290ns 256.611ns 283.840ns 297.290ns 299.664ns 20.88% 2.028 3.488 4.99% 0.897ns 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 [251.837ns; 255.353ns] or [-0.693%; +0.693%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 33.798µs 34.330µs ± 0.767µs 34.030µs ± 0.142µs 34.140µs 35.929µs 35.963µs 37.413µs 9.94% 1.716 1.461 2.23% 0.054µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [34.224µs; 34.436µs] or [-0.310%; +0.310%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 13.489µs 13.635µs ± 0.070µs 13.624µs ± 0.061µs 13.699µs 13.743µs 13.763µs 13.782µs 1.16% 0.159 -1.231 0.51% 0.005µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [13.625µs; 13.645µs] or [-0.071%; +0.071%] None None None

Group 20

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8605260 1774379391 oscarld/obfuscation-sql-parity-cleaned
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 5.303µs 5.405µs ± 0.040µs 5.411µs ± 0.029µs 5.438µs 5.459µs 5.474µs 5.488µs 1.41% -0.420 -0.718 0.74% 0.003µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [5.399µs; 5.410µs] or [-0.102%; +0.102%] None None None

Baseline

Omitted due to size.

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dd-octo-sts Bot commented Mar 11, 2026 •
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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 101.43 MB 101.43 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 118.21 MB 118.21 MB 0% (0 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 27.26 MB 27.26 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 186.50 MB 186.52 MB +.01% (+24.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 921.90 MB 921.90 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 8.99 MB 8.99 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 26.83 MB 26.83 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 60.99 MB 60.99 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 190.75 MB 190.77 MB +.01% (+24.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 905.43 MB 905.43 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 57.39 MB 57.39 MB 0% (0 B) 👌
x86_64-alpine-linux-musl
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/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 88.29 MB 88.29 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
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/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) 👌

@Eldolfin Eldolfin requested a review from Copilot March 12, 2026 15:42
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Eldolfin commented Mar 12, 2026

@codex review

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💡 Codex Review

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Reviewed commit: fae46a4e7a

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Comment thread libdd-trace-obfuscation/src/sql.rs Outdated
Comment thread libdd-trace-obfuscation/src/sql.rs
Comment on lines +1415 to +1418
if self.config.replace_digits {
self.emit(&apply_replace_digits(&token));
} else {
self.emit(&token);
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P2 Badge Obfuscate Unicode @ bind vars when replacement is enabled

In the Unicode @ bind-variable path, the code only applies replace_digits and otherwise emits the original token, unlike the ASCII @name path which honors replace_bind_parameter. With replace_bind_parameter=true in new modes, this leaves values like @ᏤᏤ unobfuscated while @name is replaced, causing inconsistent behavior and potential leakage of bind parameter identifiers.

Useful? React with 👍 / 👎.

@Eldolfin Eldolfin changed the title feat(obfuscation/sql): feature parity on sql obfuscation feat(obfuscation/sql): feature parity on sql obfuscation [APMSP-2667] Mar 12, 2026
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datadog-datadog-prod-us1-2 Bot commented Mar 23, 2026 •
edited by datadog-official Bot
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✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 83.70%
• Overall Coverage: 71.01% (+0.54%)

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 8605260 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!

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You should also add test for LIMIT, I didn't see any yet.

@Eldolfin Eldolfin force-pushed the oscarld/obfuscation-sql-parity-cleaned branch from 98fbe1a to 42b64b6 Compare March 24, 2026 13:13
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LGTM, great work 👍

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Eldolfin commented Mar 24, 2026

/merge

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2026-03-24 17:01:47 UTC ℹ️ Start processing command /merge

2026-03-24 17:01:53 UTC ℹ️ MergeQueue: waiting for PR to be ready

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2026-03-24 19:44:05 UTC ℹ️ MergeQueue: merge request added to the queue

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

2026-03-24 20:23:36 UTC ℹ️ MergeQueue: This merge request was merged

@gh-worker-dd-mergequeue-cf854d gh-worker-dd-mergequeue-cf854d Bot merged commit c664ed7 into main Mar 24, 2026
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@dd-octo-sts dd-octo-sts Bot mentioned this pull request May 18, 2026
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iunanua added a commit that referenced this pull request May 18, 2026
@dd-octo-sts @github-actions @iunanua
chore(release): proposal for libdd-data-pipeline (#2007)
1758493 
# Release proposal for libdd-data-pipeline and its dependencies

This PR contains version bumps based on public API changes and commits
since last release.

## libdd-dogstatsd-client
**Next version:** `3.0.0`
**Semver bump:** `major`
**Tag:** `libdd-dogstatsd-client-v3.0.0`

### ⚠️ major bump forced due to:

- `libdd-common`: ^3.0.2 → ^4.1.0

### Commits

- fix(crypto): gate libdd-common TLS features in remaining internal
crates + add CI guard (#1943)

## libdd-trace-obfuscation
**Next version:** `3.0.0`
**Semver bump:** `major`
**Tag:** `libdd-trace-obfuscation-v3.0.0`

### ⚠️ major bump forced due to:

- `libdd-common`: ^3.0.2 → ^4.1.0
- `libdd-trace-utils`: ^3.0.1 → ^4.0.0

### Commits

- feat!: integrate obfuscation to the stats exporter [APMSP-2764]
(#1819)
- feat!: added regex-lite feature (#1939)
- chore: clippy (#1889)
- fix(crypto): gate libdd-common TLS features in obfuscation and
capabilities-impl (#1872)
- feat(obfuscation)!: feature parity on span obfuscation [APMSP-2671]
(#1788)
- feat(obfuscation/sql): feature parity on sql obfuscation [APMSP-2667]
(#1708)

## libdd-trace-stats
**Next version:** `3.0.0`
**Semver bump:** `major`
**Tag:** `libdd-trace-stats-v3.0.0`

### ⚠️ major bump forced due to:

- `libdd-trace-utils`: ^3.0.1 → ^4.0.0

### Commits

- perf: pre-compute string messagepack encoding (#1948)
- feat!: integrate obfuscation to the stats exporter [APMSP-2764]
(#1819)
- feat(capablities)!: sleep & spawn capabilities (#1873)
- feat: use ip quantization when aggregating peer tags for trace stats
(#1944)
- fix(crypto): gate libdd-common TLS features in remaining internal
crates + add CI guard (#1943)
- feat(shared_runtime)!: allow worker to be stopped after fork (#1893)
- feat(sidecar)!: Add stats computation via SHM (#1821)
- feat(stats): propagate service source from span meta to client stats
payload (#1803)
- fix(stats): align with css spec (#1790)

## libdd-data-pipeline
**Next version:** `4.0.0`
**Semver bump:** `major`
**Tag:** `libdd-data-pipeline-v4.0.0`

### ⚠️ major bump forced due to:

- `libdd-common`: ^3.0.2 → ^4.1.0
- `libdd-telemetry`: ^4.0.0 → ^5.0.0
- `libdd-trace-utils`: ^3.0.1 → ^4.0.0

### Commits

- fix(libdd-telemetry): restore previous Cargo.toml version (#1993)
- fix(data-pipeline): remove default-features from of trace-obfuscation
(#1981)
- fix(trace_exporter: shared_runtime): unwrap_or being eager is not good
(#1983)
- perf: pre-compute string messagepack encoding (#1948)
- feat!: integrate obfuscation to the stats exporter [APMSP-2764]
(#1819)
- feat(capablities)!: sleep & spawn capabilities (#1873)
- fix(telemetry): avoid trigger loop in telemetry worker (#1950)
- feat(telemetry)!: include dependencies and integrations in
app-extended-heartbeat (#1962)
- perf(trace-serializer): pre-allocate serialization buffer (#1949)
- feat!: added regex-lite feature (#1939)
- fix(crypto): gate libdd-common TLS features in remaining internal
crates + add CI guard (#1943)
- feat(telemetry): add session id support to trace export (#1822)
- fix(path): missing bench path in data-pipeline (#1907)
- feat(data-pipeline): port dd-trace-rs trace buffer implementation
(#1826)
- feat(info_fetcher): add timeout to info fetcher (#1890)
- feat(shared_runtime)!: allow worker to be stopped after fork (#1893)
- feat(sidecar)!: Add stats computation via SHM (#1821)
- ci(libdd-shared-runtime): downgrade version so publish workflow
succeeds (#1870)
- feat(runtime)!: add shared runtime (#1602)
- ci: compilation of libdd-data-pipeline to wasm32 (#1830)
- feat(capabilities)!: trait architecture http (#1555)
- feat(otel): add support for OTLP trace export (#1641)
- fix(stats): align with css spec (#1790)

---------

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: iunanua <18325288+iunanua@users.noreply.github.com>
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