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chore(release): merge release branch to main (proposal for libdd-data-pipeline (#1785))#1802

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chore(release): merge release branch to main (proposal for libdd-data-pipeline (#1785))#1802
iunanua merged 2 commits intomainfrom
release/libdd-data-pipeline/20260324-152000

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@dd-octo-sts dd-octo-sts bot commented Mar 26, 2026

This PR merges the release branch to main

@hoolioh @iunanua
chore(release): proposal for libdd-data-pipeline (#1785)
1235d7d 
# Release proposal for libdd-data-pipeline and its dependencies

## libdd-common
**Next version:** `3.0.2`

## libdd-trace-protobuf
**Next version:** `3.0.1`

## libdd-trace-stats
**Next version:** `2.0.0`

## libdd-trace-obfuscation
**Next version:** `2.0.0`

## libdd-trace-normalization
**Next version:** `2.0.0`

## libdd-trace-utils
**Next version:** `3.0.1`

## libdd-data-pipeline
**Next version:** `3.0.1`

## libdd-telemetry
**Next version:** `4.0.0`

### Notes
It fixes #1781

### Tests
It has been tested by packaging the crates involved in the PR, patching
crates.io libdd-* dependencies on dd-trace-rs and compiling dd-trace-rs.

The dependency tree obtained is as follows
```
> cargo tree -p datadog-opentelemetry -d -e normal | grep "libdd-"

└── libdd-telemetry v3.0.0
    └── libdd-data-pipeline v2.0.1
└── libdd-data-pipeline v2.0.1 (*)
            ├── libdd-ddsketch v1.0.1
            │   ├── libdd-data-pipeline v2.0.1 (*)
            │   ├── libdd-telemetry v3.0.0 (*)
            │   └── libdd-trace-stats v1.0.3
            │       └── libdd-data-pipeline v2.0.1 (*)
            ├── libdd-trace-protobuf v2.0.0
            │   ├── libdd-data-pipeline v2.0.1 (*)
            │   ├── libdd-trace-normalization v1.0.2
            │   │   └── libdd-trace-utils v2.0.2
            │   │       ├── libdd-data-pipeline v2.0.1 (*)
            │   │       └── libdd-trace-stats v1.0.3 (*)
            │   ├── libdd-trace-stats v1.0.3 (*)
            │   └── libdd-trace-utils v2.0.2 (*)
            └── libdd-trace-utils v2.0.2 (*)
    ├── libdd-telemetry v3.0.0 (*)
    └── libdd-trace-stats v1.0.3 (*)
    │   └── libdd-trace-utils v2.0.2 (*)
    │   └── libdd-trace-utils v2.0.2 (*)
    ├── libdd-data-pipeline v2.0.1 (*)
    └── libdd-telemetry v3.0.0 (*)
└── libdd-common v2.0.1
    ├── libdd-data-pipeline v2.0.1 (*)
    ├── libdd-dogstatsd-client v1.0.1
    │   └── libdd-data-pipeline v2.0.1 (*)
    ├── libdd-telemetry v3.0.0 (*)
    └── libdd-trace-utils v2.0.2 (*)
```

and there are no duplicated dependencies with different versions, and
none of the crates in this proposal are part in the tree.

---------

Co-authored-by: iunanua <[email protected]>
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github-actions bot commented Mar 26, 2026 •
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📚 Documentation Check Results

⚠️ 5509 documentation warning(s) found

📦 libdd-common - 166 warning(s)

📦 libdd-crashtracker - 1049 warning(s)

📦 libdd-data-pipeline - 864 warning(s)

📦 libdd-dogstatsd-client - 166 warning(s)

📦 libdd-library-config - 150 warning(s)

📦 libdd-profiling - 647 warning(s)

📦 libdd-telemetry - 476 warning(s)

📦 libdd-trace-normalization - 127 warning(s)

📦 libdd-trace-obfuscation - 639 warning(s)

📦 libdd-trace-protobuf - 112 warning(s)

📦 libdd-trace-stats - 560 warning(s)

📦 libdd-trace-utils - 553 warning(s)

Updated: 2026-03-30 08:05:40 UTC | Commit: eabfde8 | missing-docs job results

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github-actions bot commented Mar 26, 2026 •
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🔒 Cargo Deny Results

⚠️ 2 issue(s) found, showing only errors (advisories, bans, sources)

📦 libdd-common - ✅ No issues

📦 libdd-crashtracker - 1 error(s)

Show output 
error[unmaintained]: paste - no longer maintained
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:131:1
    │
131 │ paste 1.0.15 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ unmaintained advisory detected
    │
    ├ ID: RUSTSEC-2024-0436
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2024-0436
    ├ The creator of the crate `paste` has stated in the [`README.md`](https://github.com/dtolnay/paste/blob/master/README.md) 
      that this project is not longer maintained as well as archived the repository
      
      ## Possible Alternative(s)
      
      - [`pastey`]: a fork of paste and is aimed to be a drop-in replacement with additional features for paste crate
      - [`with_builtin_macros`]: crate providing a [superset of `paste`'s functionality including general `macro_rules!` eager expansions](https://docs.rs/with_builtin_macros/0.1.0/with_builtin_macros/macro.with_eager_expansions.html)  and `concat!`/`concat_idents!` macros
      
      [`pastey`]: https://crates.io/crates/pastey
      [`with_builtin_macros`]: https://crates.io/crates/with_builtin_macros
    ├ Announcement: https://github.com/dtolnay/paste
    ├ Solution: No safe upgrade is available!
    ├ paste v1.0.15
      └── libdd-libunwind-sys v0.1.0
          └── libdd-crashtracker v1.0.0

advisories FAILED, bans ok, sources ok

📦 libdd-data-pipeline - 1 error(s)

Show output 
error[vulnerability]: Denial of Service via Stack Exhaustion
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:275:1
    │
275 │ time 0.3.41 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
    │
    ├ ID: RUSTSEC-2026-0009
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0009
    ├ ## Impact
      
      When user-provided input is provided to any type that parses with the RFC 2822 format, a denial of
      service attack via stack exhaustion is possible. The attack relies on formally deprecated and
      rarely-used features that are part of the RFC 2822 format used in a malicious manner. Ordinary,
      non-malicious input will never encounter this scenario.
      
      ## Patches
      
      A limit to the depth of recursion was added in v0.3.47. From this version, an error will be returned
      rather than exhausting the stack.
      
      ## Workarounds
      
      Limiting the length of user input is the simplest way to avoid stack exhaustion, as the amount of
      the stack consumed would be at most a factor of the length of the input.
    ├ Announcement: https://github.com/time-rs/time/blob/main/CHANGELOG.md#0347-2026-02-05
    ├ Solution: Upgrade to >=0.3.47 (try `cargo update -p time`)
    ├ time v0.3.41
      └── tracing-appender v0.2.3
          └── libdd-log v1.0.0
              └── (dev) libdd-data-pipeline v3.0.1

advisories FAILED, bans ok, sources ok

📦 libdd-dogstatsd-client - ✅ No issues

📦 libdd-library-config - ✅ No issues

📦 libdd-profiling - ✅ No issues

📦 libdd-telemetry - ✅ No issues

📦 libdd-trace-normalization - ✅ No issues

📦 libdd-trace-obfuscation - ✅ No issues

📦 libdd-trace-protobuf - ✅ No issues

📦 libdd-trace-stats - ✅ No issues

📦 libdd-trace-utils - ✅ No issues

Updated: 2026-03-30 08:07:40 UTC | Commit: eabfde8 | dependency-check job results

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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.21%. Comparing base (d75fe5e) to head (f233e40).

Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #1802      +/-   ##
==========================================
- Coverage   71.26%   71.21%   -0.06%     
==========================================
  Files         414      414              
  Lines       65963    65963              
==========================================
- Hits        47009    46975      -34     
- Misses      18954    18988      +34
Components Coverage Δ
libdd-crashtracker 65.24% <ø> (+0.01%) ⬆️
libdd-crashtracker-ffi 34.47% <ø> (ø)
libdd-alloc 98.77% <ø> (ø)
libdd-data-pipeline 87.01% <ø> (+0.48%) ⬆️
libdd-data-pipeline-ffi 72.68% <ø> (+2.74%) ⬆️
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> (+0.01%) ⬆️
libdd-profiling-ffi 64.94% <ø> (ø)
datadog-sidecar 30.79% <ø> (-0.84%) ⬇️
datdog-sidecar-ffi 9.37% <ø> (-3.90%) ⬇️
spawn-worker 54.69% <ø> (ø)
libdd-tinybytes 93.16% <ø> (ø)
libdd-trace-normalization 81.71% <ø> (ø)
libdd-trace-obfuscation 87.24% <ø> (ø)
libdd-trace-protobuf 68.25% <ø> (ø)
libdd-trace-utils 88.72% <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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datadog-official bot commented Mar 26, 2026 •
edited by datadog-datadog-prod-us1-2 bot
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✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 100.00%
• Overall Coverage: 71.21% (-0.05%)

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: f233e40 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!

@hoolioh hoolioh marked this pull request as ready for review March 26, 2026 15:07
@hoolioh hoolioh requested review from a team as code owners March 26, 2026 15:07
@hoolioh hoolioh requested review from mabdinur and removed request for a team March 26, 2026 15:07
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pr-commenter bot commented Mar 30, 2026 •
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Benchmarks

Comparison

Benchmark execution time: 2026-03-30 08:20:06

Comparing candidate commit f233e40 in PR branch release/libdd-data-pipeline/20260324-152000 with baseline commit d75fe5e in branch main.

Found 2 performance improvements and 4 performance regressions! Performance is the same for 56 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:normalization/normalize_name/normalize_name/good

  • 🟩 execution_time [-695.434ns; -677.198ns] or [-6.578%; -6.406%]
  • 🟩 throughput [+6479352.498op/s; +6661787.772op/s] or [+6.850%; +7.043%]

scenario:normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...

  • 🟥 execution_time [+38.951µs; +39.181µs] or [+7.851%; +7.898%]
  • 🟥 throughput [-147574.631op/s; -146696.529op/s] or [-7.321%; -7.278%]

scenario:normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters

  • 🟥 execution_time [+26.170µs; +26.246µs] or [+15.529%; +15.574%]
  • 🟥 throughput [-799741.543op/s; -797418.054op/s] or [-13.478%; -13.439%]

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 f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 243.124ns 253.248ns ± 12.655ns 247.690ns ± 1.824ns 254.540ns 285.343ns 291.841ns 298.057ns 20.33% 1.849 2.284 4.98% 0.895ns 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 [251.495ns; 255.002ns] or [-0.693%; +0.693%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 2.352µs 2.394µs ± 0.020µs 2.393µs ± 0.013µs 2.403µs 2.444µs 2.456µs 2.460µs 2.82% 1.109 1.739 0.85% 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 [2.391µs; 2.397µs] or [-0.118%; +0.118%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 144.319µs 146.427µs ± 1.852µs 146.056µs ± 0.509µs 146.757µs 147.944µs 152.861µs 165.280µs 13.16% 6.563 57.614 1.26% 0.131µs 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 [146.171µs; 146.684µs] or [-0.175%; +0.175%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 190.846ns 192.905ns ± 1.722ns 192.812ns ± 1.426ns 193.968ns 195.806ns 197.884ns 199.863ns 3.66% 0.983 1.218 0.89% 0.122ns 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 [192.666ns; 193.143ns] or [-0.124%; +0.124%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 13.728µs 14.177µs ± 0.259µs 14.212µs ± 0.078µs 14.280µs 14.417µs 14.945µs 15.925µs 12.05% 2.603 17.018 1.82% 0.018µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [14.141µs; 14.213µs] or [-0.253%; +0.253%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 14.714ms 14.781ms ± 0.039ms 14.776ms ± 0.018ms 14.793ms 14.858ms 14.924ms 15.017ms 1.63% 2.318 8.801 0.26% 0.003ms 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 [14.775ms; 14.786ms] or [-0.037%; +0.037%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 5.356µs 5.429µs ± 0.030µs 5.426µs ± 0.020µs 5.447µs 5.475µs 5.524µs 5.548µs 2.24% 0.758 1.537 0.55% 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 [5.424µs; 5.433µs] or [-0.077%; +0.077%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 161.167µs 162.018µs ± 0.366µs 161.948µs ± 0.132µs 162.100µs 162.466µs 163.567µs 164.388µs 1.51% 3.338 17.401 0.23% 0.026µs 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 [161.967µs; 162.068µs] or [-0.031%; +0.031%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 735.514µs 737.065µs ± 0.639µs 736.965µs ± 0.335µs 737.355µs 738.351µs 738.931µs 739.412µs 0.33% 0.899 1.147 0.09% 0.045µs 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 [736.976µs; 737.153µs] or [-0.012%; +0.012%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 47.933ms 48.167ms ± 0.969ms 48.029ms ± 0.040ms 48.074ms 48.185ms 53.232ms 58.365ms 21.52% 8.505 76.341 2.01% 0.069ms 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 [48.033ms; 48.301ms] or [-0.279%; +0.279%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 185.318µs 185.790µs ± 0.268µs 185.776µs ± 0.197µs 185.978µs 186.205µs 186.396µs 187.070µs 0.70% 0.788 1.685 0.14% 0.019µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 5345584.701op/s 5382433.310op/s ± 7760.495op/s 5382836.772op/s ± 5695.146op/s 5388337.664op/s 5392856.920op/s 5395499.014op/s 5396129.168op/s 0.25% -0.775 1.625 0.14% 548.750op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 17.930µs 18.093µs ± 0.085µs 18.100µs ± 0.042µs 18.136µs 18.173µs 18.233µs 18.905µs 4.45% 4.158 39.633 0.47% 0.006µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 52896548.897op/s 55272442.814op/s ± 255369.638op/s 55249877.963op/s ± 129038.772op/s 55427738.293op/s 55612023.674op/s 55728018.588op/s 55772215.119op/s 0.95% -3.827 35.744 0.46% 18057.360op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 9.817µs 9.886µs ± 0.062µs 9.855µs ± 0.012µs 9.919µs 10.012µs 10.093µs 10.143µs 2.92% 1.682 2.698 0.63% 0.004µs 1 200
normalization/normalize_name/normalize_name/good throughput 98590306.868op/s 101161356.947op/s ± 629096.895op/s 101473579.486op/s ± 122898.570op/s 101548810.237op/s 101727711.325op/s 101784176.121op/s 101860914.665op/s 0.38% -1.647 2.525 0.62% 44483.868op/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 [185.753µs; 185.827µs] or [-0.020%; +0.020%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [5381357.780op/s; 5383508.840op/s] or [-0.020%; +0.020%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [18.081µs; 18.104µs] or [-0.065%; +0.065%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [55237051.038op/s; 55307834.590op/s] or [-0.064%; +0.064%] None None None
normalization/normalize_name/normalize_name/good execution_time [9.877µs; 9.894µs] or [-0.087%; +0.087%] None None None
normalization/normalize_name/normalize_name/good throughput [101074170.168op/s; 101248543.726op/s] or [-0.086%; +0.086%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 534.205µs 535.182µs ± 0.522µs 535.148µs ± 0.238µs 535.388µs 535.727µs 536.429µs 540.348µs 0.97% 4.945 46.282 0.10% 0.037µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1850660.615op/s 1868525.393op/s ± 1815.037op/s 1868641.432op/s ± 830.741op/s 1869457.437op/s 1870638.678op/s 1871388.180op/s 1871941.784op/s 0.18% -4.876 45.391 0.10% 128.343op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 379.808µs 380.622µs ± 0.336µs 380.606µs ± 0.225µs 380.833µs 381.182µs 381.469µs 381.722µs 0.29% 0.226 0.237 0.09% 0.024µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2619704.254op/s 2627283.148op/s ± 2321.701op/s 2627389.404op/s ± 1552.297op/s 2628858.350op/s 2630937.498op/s 2632249.668op/s 2632910.766op/s 0.21% -0.220 0.231 0.09% 164.169op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 194.192µs 194.735µs ± 0.200µs 194.718µs ± 0.127µs 194.848µs 195.072µs 195.216µs 195.533µs 0.42% 0.489 0.758 0.10% 0.014µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5114217.984op/s 5135183.165op/s ± 5283.287op/s 5135632.737op/s ± 3358.940op/s 5138875.577op/s 5142872.448op/s 5146225.853op/s 5149541.325op/s 0.27% -0.481 0.742 0.10% 373.585op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 37.728µs 38.013µs ± 0.135µs 38.005µs ± 0.097µs 38.104µs 38.245µs 38.322µs 38.416µs 1.08% 0.387 -0.323 0.35% 0.010µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 26031006.027op/s 26307457.176op/s ± 93042.037op/s 26312071.843op/s ± 67316.073op/s 26377350.073op/s 26442109.447op/s 26480613.625op/s 26505462.965op/s 0.73% -0.371 -0.342 0.35% 6579.066op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 45.753µs 45.866µs ± 0.047µs 45.871µs ± 0.035µs 45.902µs 45.937µs 45.958µs 45.964µs 0.20% -0.193 -0.722 0.10% 0.003µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21756383.142op/s 21802630.340op/s ± 22301.335op/s 21800168.273op/s ± 16578.795op/s 21820447.177op/s 21843234.817op/s 21847968.589op/s 21856633.598op/s 0.26% 0.197 -0.720 0.10% 1576.943op/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 [535.109µs; 535.254µs] or [-0.014%; +0.014%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [1868273.847op/s; 1868776.940op/s] or [-0.013%; +0.013%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [380.575µs; 380.668µs] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2626961.383op/s; 2627604.913op/s] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [194.707µs; 194.763µs] or [-0.014%; +0.014%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5134450.952op/s; 5135915.378op/s] or [-0.014%; +0.014%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [37.994µs; 38.031µs] or [-0.049%; +0.049%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [26294562.444op/s; 26320351.907op/s] or [-0.049%; +0.049%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [45.860µs; 45.873µs] or [-0.014%; +0.014%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21799539.590op/s; 21805721.091op/s] or [-0.014%; +0.014%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 34.561µs 35.183µs ± 1.086µs 34.689µs ± 0.074µs 34.793µs 37.497µs 37.554µs 38.609µs 11.30% 1.707 1.023 3.08% 0.077µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [35.032µs; 35.333µs] or [-0.428%; +0.428%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 932.389µs 935.304µs ± 1.890µs 935.061µs ± 0.647µs 935.814µs 937.115µs 938.405µs 957.059µs 2.35% 7.710 86.108 0.20% 0.134µs 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 [935.042µs; 935.566µs] or [-0.028%; +0.028%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 4.167ms 4.171ms ± 0.003ms 4.171ms ± 0.001ms 4.173ms 4.176ms 4.180ms 4.185ms 0.33% 1.473 3.959 0.06% 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 [4.171ms; 4.172ms] or [-0.008%; +0.008%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 3.404ms 3.439ms ± 0.028ms 3.431ms ± 0.012ms 3.444ms 3.496ms 3.543ms 3.563ms 3.86% 1.715 3.295 0.80% 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 [3.435ms; 3.443ms] or [-0.112%; +0.112%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 4.271ms 4.277ms ± 0.008ms 4.277ms ± 0.001ms 4.278ms 4.281ms 4.285ms 4.380ms 2.42% 11.942 154.948 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 [4.276ms; 4.278ms] or [-0.025%; +0.025%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 14.847ms 14.873ms ± 0.018ms 14.870ms ± 0.010ms 14.881ms 14.903ms 14.941ms 14.990ms 0.81% 2.200 9.517 0.12% 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 [14.871ms; 14.876ms] or [-0.017%; +0.017%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 3.898µs 3.912µs ± 0.003µs 3.911µs ± 0.001µs 3.913µs 3.918µs 3.919µs 3.919µs 0.21% 0.308 3.386 0.07% 0.000µs 1 200
credit_card/is_card_number/ throughput 255145848.731op/s 255647605.796op/s ± 179002.881op/s 255685221.394op/s ± 87132.306op/s 255755863.475op/s 255855907.088op/s 255912421.129op/s 256558290.104op/s 0.34% -0.297 3.423 0.07% 12657.415op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 79.674µs 79.968µs ± 0.208µs 79.916µs ± 0.116µs 80.077µs 80.301µs 80.421µs 81.374µs 1.82% 2.041 9.427 0.26% 0.015µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12288931.506op/s 12505061.973op/s ± 32371.381op/s 12513184.775op/s ± 18094.774op/s 12528295.865op/s 12540769.828op/s 12549204.710op/s 12551082.157op/s 0.30% -1.985 8.949 0.26% 2289.002op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 72.992µs 73.354µs ± 0.198µs 73.334µs ± 0.118µs 73.456µs 73.695µs 73.900µs 74.232µs 1.22% 0.852 1.640 0.27% 0.014µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 13471264.662op/s 13632567.271op/s ± 36659.645op/s 13636156.883op/s ± 21912.319op/s 13657115.975op/s 13684063.066op/s 13698019.365op/s 13700109.601op/s 0.47% -0.828 1.561 0.27% 2592.228op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.893µs 3.912µs ± 0.003µs 3.911µs ± 0.001µs 3.913µs 3.916µs 3.918µs 3.923µs 0.30% -1.105 14.347 0.07% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 254899132.416op/s 255642154.362op/s ± 169497.771op/s 255657509.772op/s ± 78537.638op/s 255728449.790op/s 255831647.136op/s 255919222.207op/s 256875075.031op/s 0.48% 1.136 14.535 0.07% 11985.302op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 69.401µs 69.847µs ± 0.245µs 69.800µs ± 0.175µs 70.015µs 70.290µs 70.427µs 70.840µs 1.49% 0.749 0.543 0.35% 0.017µs 1 200
credit_card/is_card_number/378282246310005 throughput 14116317.080op/s 14317246.244op/s ± 50079.902op/s 14326747.344op/s ± 35958.043op/s 14355883.666op/s 14383066.260op/s 14396474.255op/s 14408947.957op/s 0.57% -0.729 0.480 0.35% 3541.184op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 52.226µs 52.310µs ± 0.037µs 52.307µs ± 0.025µs 52.338µs 52.376µs 52.387µs 52.418µs 0.21% 0.209 -0.424 0.07% 0.003µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 19077486.291op/s 19116633.640op/s ± 13681.337op/s 19117905.804op/s ± 9275.479op/s 19126003.884op/s 19137570.375op/s 19145754.392op/s 19147539.571op/s 0.16% -0.206 -0.426 0.07% 967.417op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 5.729µs 5.855µs ± 0.053µs 5.859µs ± 0.034µs 5.891µs 5.950µs 5.970µs 5.994µs 2.30% 0.164 -0.282 0.89% 0.004µs 1 200
credit_card/is_card_number/x371413321323331 throughput 166827699.024op/s 170803860.896op/s ± 1530463.426op/s 170670708.591op/s ± 981182.596op/s 171703905.466op/s 173475125.859op/s 173645364.591op/s 174553671.984op/s 2.28% -0.119 -0.301 0.89% 108220.107op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.896µs 3.911µs ± 0.002µs 3.911µs ± 0.001µs 3.913µs 3.915µs 3.918µs 3.920µs 0.22% -0.637 8.282 0.06% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 255115733.946op/s 255657060.933op/s ± 154387.704op/s 255669166.301op/s ± 89256.573op/s 255753938.509op/s 255830263.703op/s 255945761.170op/s 256649062.568op/s 0.38% 0.655 8.381 0.06% 10916.859op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 64.134µs 64.266µs ± 0.065µs 64.250µs ± 0.035µs 64.298µs 64.384µs 64.480µs 64.532µs 0.44% 1.177 1.879 0.10% 0.005µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15496146.377op/s 15560401.557op/s ± 15687.604op/s 15564230.286op/s ± 8591.247op/s 15570964.822op/s 15579265.089op/s 15583098.012op/s 15592386.238op/s 0.18% -1.169 1.852 0.10% 1109.281op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 57.388µs 57.497µs ± 0.075µs 57.483µs ± 0.044µs 57.532µs 57.643µs 57.717µs 57.848µs 0.64% 1.272 2.294 0.13% 0.005µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 17286658.296op/s 17392110.603op/s ± 22701.057op/s 17396431.992op/s ± 13307.887op/s 17408458.335op/s 17419194.124op/s 17422618.673op/s 17425381.811op/s 0.17% -1.261 2.248 0.13% 1605.207op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.892µs 3.912µs ± 0.003µs 3.912µs ± 0.002µs 3.914µs 3.916µs 3.918µs 3.919µs 0.16% -1.744 11.822 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 255187990.815op/s 255609999.228op/s ± 186918.038op/s 255604685.015op/s ± 116448.052op/s 255719652.057op/s 255872003.580op/s 255977287.537op/s 256954916.421op/s 0.53% 1.767 12.021 0.07% 13217.101op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 54.556µs 54.728µs ± 0.123µs 54.688µs ± 0.050µs 54.763µs 54.995µs 55.155µs 55.191µs 0.92% 1.508 2.132 0.22% 0.009µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 18118996.659op/s 18272386.725op/s ± 41032.524op/s 18285418.305op/s ± 16604.516op/s 18297387.598op/s 18316311.958op/s 18325718.240op/s 18329765.707op/s 0.24% -1.496 2.085 0.22% 2901.438op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 51.155µs 51.939µs ± 0.247µs 51.907µs ± 0.146µs 52.128µs 52.336µs 52.353µs 52.433µs 1.01% 0.009 -0.441 0.48% 0.017µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 19071822.098op/s 19253769.230op/s ± 91691.272op/s 19265377.127op/s ± 54036.169op/s 19314163.616op/s 19389502.531op/s 19445039.407op/s 19548323.762op/s 1.47% 0.014 -0.411 0.48% 6483.552op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 5.746µs 5.868µs ± 0.050µs 5.864µs ± 0.035µs 5.897µs 5.959µs 5.971µs 5.986µs 2.09% 0.115 -0.603 0.85% 0.004µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 167046610.035op/s 170440484.264op/s ± 1458739.316op/s 170534293.992op/s ± 1030987.265op/s 171605384.309op/s 172616530.209op/s 173544766.225op/s 174039334.119op/s 2.06% -0.080 -0.609 0.85% 103148.446op/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 [-0.010%; +0.010%] None None None
credit_card/is_card_number/ throughput [255622797.718op/s; 255672413.874op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [79.939µs; 79.997µs] or [-0.036%; +0.036%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12500575.611op/s; 12509548.335op/s] or [-0.036%; +0.036%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [73.327µs; 73.382µs] or [-0.037%; +0.037%] None None None
credit_card/is_card_number/ 378282246310005 throughput [13627486.597op/s; 13637647.945op/s] or [-0.037%; +0.037%] None None None
credit_card/is_card_number/37828224631 execution_time [3.911µs; 3.912µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/37828224631 throughput [255618663.601op/s; 255665645.123op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/378282246310005 execution_time [69.813µs; 69.881µs] or [-0.049%; +0.049%] None None None
credit_card/is_card_number/378282246310005 throughput [14310305.652op/s; 14324186.837op/s] or [-0.048%; +0.048%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [52.305µs; 52.316µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [19114737.538op/s; 19118529.742op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/x371413321323331 execution_time [5.848µs; 5.862µs] or [-0.124%; +0.124%] None None None
credit_card/is_card_number/x371413321323331 throughput [170591753.384op/s; 171015968.408op/s] or [-0.124%; +0.124%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.911µs; 3.912µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/ throughput [255635664.282op/s; 255678457.584op/s] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [64.257µs; 64.275µs] or [-0.014%; +0.014%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15558227.406op/s; 15562575.708op/s] or [-0.014%; +0.014%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [57.487µs; 57.508µs] or [-0.018%; +0.018%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [17388964.455op/s; 17395256.752op/s] or [-0.018%; +0.018%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.912µs; 3.913µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255584094.185op/s; 255635904.270op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [54.711µs; 54.745µs] or [-0.031%; +0.031%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [18266700.012op/s; 18278073.438op/s] or [-0.031%; +0.031%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [51.905µs; 51.973µs] or [-0.066%; +0.066%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [19241061.702op/s; 19266476.759op/s] or [-0.066%; +0.066%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [5.861µs; 5.875µs] or [-0.119%; +0.119%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [170238317.024op/s; 170642651.503op/s] or [-0.119%; +0.119%] None None None

Group 20

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 4.904µs 4.984µs ± 0.041µs 4.982µs ± 0.031µs 5.008µs 5.055µs 5.058µs 5.065µs 1.65% 0.105 -0.961 0.83% 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 [4.979µs; 4.990µs] or [-0.115%; +0.115%] None None None

Group 21

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f233e40 1774857763 release/libdd-data-pipeline/20260324-152000
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 288.850µs 289.485µs ± 0.653µs 289.381µs ± 0.153µs 289.557µs 289.995µs 292.280µs 295.031µs 1.95% 5.577 38.477 0.23% 0.046µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [289.395µs; 289.576µs] or [-0.031%; +0.031%] None None None

Baseline

Omitted due to size.

@iunanua iunanua merged commit bfdbeae into main Mar 30, 2026
56 checks passed
@iunanua iunanua deleted the release/libdd-data-pipeline/20260324-152000 branch March 30, 2026 08:31
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@mabdinur mabdinur mabdinur approved these changes

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