chore(release): merge release branch to main by dd-octo-sts[bot] · Pull Request #1727 · DataDog/libdatadog

dd-octo-sts · 2026-03-13T16:45:12Z

This PR merges the release branch to main

# Release proposal for libdd-tinybytes and its dependencies This PR contains version bumps based on public API changes and commits since last release. ## libdd-tinybytes **Next version:** `1.1.0` **Semver bump:** `minor` **Tag:** `libdd-tinybytes-v1.1.0` ### Commits - feat(sidecar)!: introduce TraceData to unify text and binary data (#1247) - chore: add changelog for every published crate (#1396) --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Julio <julio.gonzalez@datadoghq.com>

# 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-common **Next version:** `2.0.0` **Semver bump:** `major` **Tag:** `libdd-common-v2.0.0` ### Commits - refactor(ddcommon)!: remove direct dependency on hyper client everywhere in common (#1604) - feat!: enable non-blocking DNS for reqwest (#1558) - feat: unify Azure tags (#1553) - feat(common): add current thread id API (#1569) - refactor!: switch from multipart to multer to resolve deprecation warnings and dependabot alerts (#1540) - feat: single source of truth for headers (fixes issue in profiling with missing headers) (#1493) - refactor!: make reqwest available in common (#1504) ## libdd-ddsketch **Next version:** `1.0.1` **Semver bump:** `patch` **Tag:** `libdd-ddsketch-v1.0.1` ### Commits - chore: remove manual changelog modifications (#1472) - build: update `prost` crates (#1426) - chore: add changelog for every published crate (#1396) ## libdd-trace-protobuf **Next version:** `1.1.0` **Semver bump:** `minor` **Tag:** `libdd-trace-protobuf-v1.1.0` ### Commits - chore: remove manual changelog modifications (#1472) - build: update `prost` crates (#1426) - chore: add changelog for every published crate (#1396) - Handle null span tag values (#1394) ## libdd-dogstatsd-client **Next version:** `1.0.1` **Semver bump:** `patch` **Tag:** `libdd-dogstatsd-client-v1.0.1` ### Commits - refactor(ddcommon)!: remove direct dependency on hyper client everywhere in common (#1604) - chore: release libddcommon-v1.1.0 (#1456) - chore: add changelog for every published crate (#1396) - style: fix recent clippy warnings (#1346) ## libdd-telemetry **Next version:** `3.0.0` **Semver bump:** `major` **Tag:** `libdd-telemetry-v3.0.0` ### Commits - refactor(ddcommon)!: remove direct dependency on hyper client everywhere in common (#1604) - chore(deps): bump tracing-subscriber to remove regex dep duplicate (#1608) - feat(telemetry)!: add process_tags to Application in telemetry (#1459) - fix(telemetry)!: fix logs payload format [APMSP-2590] (#1498) - feat(appsec): add endpoints collection (#1182) ## libdd-trace-normalization **Next version:** `1.0.1` **Semver bump:** `patch` **Tag:** `libdd-trace-normalization-v1.0.1` ### Commits - Prevent span start overflow panic (#1373) - [CHAOSPLT-932] Add support for internal fuzzing infra (#1372) - chore: add changelog for every published crate (#1396) ## libdd-trace-utils **Next version:** `2.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-utils-v2.0.0` ### Commits - refactor(ddcommon)!: remove direct dependency on hyper client everywhere in common (#1604) - feat: unify Azure tags (#1553) - fix(serverless): set hostname on stats from tracer to empty string (#1530) - chore: remove manual changelog modifications (#1472) - feat(sidecar)!: introduce TraceData to unify text and binary data (#1247) - chore: release libddcommon-v1.1.0 (#1456) - fix(test-agent): undo commenting arg in docker cmd (#1439) - [SLES-2652] Log error details when trace request fails (2) (#1441) - build: update `prost` crates (#1426) - chore(trace-utils): bump the test agent version used for integration tests (#1417) - [Serverless] Skip AAS metadata tagging when span is from API Management (#1409) - chore: add changelog for every published crate (#1396) - Handle null span tag values (#1394) - [SVLS-7934] Log error details when trace request fails (#1392) - Fix trace utils clippy warning (#1397) - feat(trace_utils): Allow sending trace stats using custom HTTP client (#1345) ## libdd-trace-stats **Next version:** `1.0.1` **Semver bump:** `patch` **Tag:** `libdd-trace-stats-v1.0.1` ### Commits - feat(sidecar)!: introduce TraceData to unify text and binary data (#1247) - chore: add changelog for every published crate (#1396) ## libdd-data-pipeline **Next version:** `2.0.0` **Semver bump:** `major` **Tag:** `libdd-data-pipeline-v2.0.0` ### Commits - refactor(ddcommon)!: remove direct dependency on hyper client everywhere in common (#1604) - refactor(trace_exporter)!: remove Proxy TraceExporter input mode (#1583) - refactor(libdd-data-pipeline): health metrics (#1433) - feat(data-pipeline)!: include reason for chunks dropped telemetry (#1449) - feat(sidecar)!: introduce TraceData to unify text and binary data (#1247) - chore: release libddcommon-v1.1.0 (#1456) - chore: prepare libdd-telemetry-v2.0.0 (#1457) - Allow submitting Vec<Vec<Span>> asynchronously (#1302) - test(data-pipeline): handle EINTR in test_health_metrics_disabled (#1430) - chore: add changelog for every published crate (#1396) [APMSP-2590]: https://datadoghq.atlassian.net/browse/APMSP-2590?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ --------- Co-authored-by: dd-octo-sts[bot] <200755185+dd-octo-sts[bot]@users.noreply.github.com>

# Release proposal for libdd-library-config and its dependencies This PR contains version bumps based on public API changes and commits since last release. ## libdd-trace-protobuf **Next version:** `2.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-protobuf-v2.0.0` ### Commits - feat(trace-protobuf)!: Add two fields to ClientGroupedStats [SVLS-8627] (#1630) - feat: otel process ctxt protobuf encoding (#1651) ## libdd-library-config **Next version:** `1.1.0` **Semver bump:** `minor` **Tag:** `libdd-library-config-v1.1.0` ### Commits - chore: update otel process ctx protocol (#1713) - feat: publish tracer metadata as OTel process ctx (#1658) - feat: otel process ctxt protobuf encoding (#1651) - fix: handle fork in otel process ctx (#1650) - chore: implement otel process ctx update (#1640) - feat: process context publication (#1585) - ci: update nightly in CI to 2026-02-08 (#1539) - fix(stable_config): [APMAPI-1690] add >100mb check for stable config files (#1432) - chore: add changelog for every published crate (#1396) [SVLS-8627]: https://datadoghq.atlassian.net/browse/SVLS-8627?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ [APMAPI-1690]: https://datadoghq.atlassian.net/browse/APMAPI-1690?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ --------- Co-authored-by: dd-octo-sts[bot] <200755185+dd-octo-sts[bot]@users.noreply.github.com>

github-actions · 2026-03-13T16:47:40Z

📚 Documentation Check Results

⚠️ 3731 documentation warning(s) found

📦 `libdd-crashtracker` - 1053 warning(s)

📦 `libdd-data-pipeline` - 796 warning(s)

📦 `libdd-library-config` - 148 warning(s)

📦 `libdd-trace-normalization` - 125 warning(s)

📦 `libdd-trace-obfuscation` - 522 warning(s)

📦 `libdd-trace-protobuf` - 110 warning(s)

📦 `libdd-trace-stats` - 492 warning(s)

📦 `libdd-trace-utils` - 485 warning(s)

Updated: 2026-03-13 16:48:11 UTC | Commit: a59e179 | missing-docs job results

github-actions · 2026-03-13T16:49:38Z

🔒 Cargo Deny Results

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

📦 `libdd-crashtracker` - 1 error(s)

Show output

error[unmaintained]: paste - no longer maintained
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:141:1
    │
141 │ 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 v29.0.0
          └── 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:293:1
    │
293 │ 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 v2.0.0

advisories FAILED, bans ok, sources ok

📦 `libdd-library-config` - ✅ 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: 2026-03-13 16:50:01 UTC | Commit: a59e179 | dependency-check job results

codecov-commenter · 2026-03-13T16:58:40Z

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.41%. Comparing base (892b7bf) to head (c633db1).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1727      +/-   ##
==========================================
- Coverage   71.48%   71.41%   -0.08%     
==========================================
  Files         430      430              
  Lines       63954    63994      +40     
==========================================
- Hits        45720    45703      -17     
- Misses      18234    18291      +57

Components	Coverage Δ
libdd-crashtracker	`63.90% <ø> (+0.01%)`	⬆️
libdd-crashtracker-ffi	`17.72% <ø> (ø)`
libdd-alloc	`98.77% <ø> (ø)`
libdd-data-pipeline	`87.79% <ø> (-0.54%)`	⬇️
libdd-data-pipeline-ffi	`75.43% <ø> (-1.52%)`	⬇️
libdd-common	`79.73% <ø> (ø)`
libdd-common-ffi	`73.40% <ø> (ø)`
libdd-telemetry	`62.48% <ø> (ø)`
libdd-telemetry-ffi	`16.75% <ø> (ø)`
libdd-dogstatsd-client	`82.64% <ø> (ø)`
datadog-ipc	`80.35% <ø> (ø)`
libdd-profiling	`81.60% <ø> (ø)`
libdd-profiling-ffi	`63.65% <ø> (ø)`
datadog-sidecar	`32.73% <ø> (+0.13%)`	⬆️
datdog-sidecar-ffi	`9.11% <ø> (+0.61%)`	⬆️
spawn-worker	`54.69% <ø> (ø)`
libdd-tinybytes	`93.16% <ø> (ø)`
libdd-trace-normalization	`81.71% <ø> (ø)`
libdd-trace-obfuscation	`91.80% <ø> (ø)`
libdd-trace-protobuf	`68.25% <ø> (ø)`
libdd-trace-utils	`88.98% <ø> (-0.11%)`	⬇️
datadog-tracer-flare	`86.86% <ø> (-2.10%)`	⬇️
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.

pr-commenter · 2026-03-13T17:12:17Z

Benchmarks

Comparison

Benchmark execution time: 2026-03-13 17:11:43

Comparing candidate commit c633db1 in PR branch release with baseline commit 892b7bf in branch main.

Found 12 performance improvements and 4 performance regressions! Performance is the same for 42 metrics, 2 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:benching serializing traces from their internal representation to msgpack

🟩 execution_time [-614.116µs; -601.551µs] or [-4.175%; -4.089%]

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

🟩 execution_time [-5.003µs; -4.809µs] or [-6.250%; -6.008%]
🟩 throughput [+799707.220op/s; +833473.547op/s] or [+6.402%; +6.672%]

scenario:credit_card/is_card_number/x371413321323331

🟩 execution_time [-596.031ns; -592.676ns] or [-8.990%; -8.939%]
🟩 throughput [+14813428.395op/s; +14891562.200op/s] or [+9.821%; +9.873%]

scenario:credit_card/is_card_number_no_luhn/x371413321323331

🟩 execution_time [-594.799ns; -590.822ns] or [-8.974%; -8.914%]
🟩 throughput [+14773848.424op/s; +14866194.812op/s] or [+9.792%; +9.853%]

scenario:normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...

🟩 execution_time [-19.855µs; -19.672µs] or [-9.642%; -9.553%]
🟩 throughput [+513308.968op/s; +517808.427op/s] or [+10.570%; +10.663%]

scenario:normalization/normalize_name/normalize_name/good

🟩 execution_time [-924.063ns; -906.848ns] or [-8.538%; -8.379%]
🟩 throughput [+8458561.471op/s; +8616889.518op/s] or [+9.155%; +9.326%]

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

🟥 execution_time [+40.692µs; +40.983µs] or [+8.235%; +8.294%]
🟥 throughput [-155043.557op/s; -153939.306op/s] or [-7.661%; -7.606%]

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

🟥 execution_time [+27.099µs; +27.171µs] or [+16.171%; +16.214%]
🟥 throughput [-832652.068op/s; -830558.452op/s] or [-13.953%; -13.918%]

scenario:tags/replace_trace_tags

🟩 execution_time [-286.873ns; -279.236ns] or [-10.912%; -10.621%]

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	`c633db1`	1773418768	release

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	14.041ms	14.102ms ± 0.030ms	14.099ms ± 0.014ms	14.112ms	14.136ms	14.212ms	14.296ms	1.39%	2.392	10.642	0.21%	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	[14.098ms; 14.106ms] or [-0.029%; +0.029%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`c633db1`	1773418768	release

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	3.895µs	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.913µs	3.916µs	3.917µs	3.918µs	0.16%	-1.137	7.100	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	255236210.282op/s	255643266.898op/s ± 168604.018op/s	255635247.592op/s ± 111980.258op/s	255754194.317op/s	255874567.870op/s	255932502.842op/s	256726443.667op/s	0.43%	1.153	7.208	0.07%	11922.104op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	74.200µs	75.145µs ± 0.678µs	75.048µs ± 0.357µs	75.447µs	76.395µs	76.895µs	78.480µs	4.57%	1.124	2.644	0.90%	0.048µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12742091.353op/s	13308752.700op/s ± 118852.792op/s	13324779.256op/s ± 63104.820op/s	13377255.322op/s	13464393.991op/s	13470379.450op/s	13477168.157op/s	1.14%	-1.036	2.230	0.89%	8404.162op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	67.588µs	67.710µs ± 0.066µs	67.705µs ± 0.030µs	67.734µs	67.796µs	67.833µs	68.366µs	0.98%	5.018	47.643	0.10%	0.005µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	14627070.002op/s	14768789.477op/s ± 14281.289op/s	14769861.361op/s ± 6456.021op/s	14776634.816op/s	14784871.676op/s	14790203.784op/s	14795457.794op/s	0.17%	-4.947	46.722	0.10%	1009.840op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.895µs	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.914µs	3.917µs	3.919µs	3.920µs	0.20%	-0.624	5.121	0.07%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	255095497.634op/s	255601416.517op/s ± 186925.251op/s	255604613.665op/s ± 107567.269op/s	255720674.587op/s	255841807.610op/s	255926373.187op/s	256707410.096op/s	0.43%	0.639	5.203	0.07%	13217.611op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	64.386µs	64.494µs ± 0.054µs	64.488µs ± 0.033µs	64.525µs	64.581µs	64.655µs	64.677µs	0.29%	0.600	0.436	0.08%	0.004µs	1	200
credit_card/is_card_number/378282246310005	throughput	15461453.012op/s	15505411.937op/s ± 12983.865op/s	15506789.464op/s ± 7948.846op/s	15513946.466op/s	15523330.506op/s	15529630.724op/s	15531229.270op/s	0.16%	-0.595	0.424	0.08%	918.098op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	44.666µs	45.142µs ± 0.136µs	45.148µs ± 0.088µs	45.225µs	45.345µs	45.461µs	45.520µs	0.82%	-0.220	0.493	0.30%	0.010µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	21968393.815op/s	22152455.640op/s ± 66949.265op/s	22149454.944op/s ± 42980.804op/s	22196324.849op/s	22266862.395op/s	22305277.793op/s	22388527.070op/s	1.08%	0.242	0.511	0.30%	4734.028op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.028µs	6.036µs ± 0.004µs	6.035µs ± 0.002µs	6.038µs	6.042µs	6.044µs	6.049µs	0.23%	0.488	0.486	0.06%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	165311369.501op/s	165683055.940op/s ± 100753.063op/s	165686397.151op/s ± 60155.331op/s	165752663.772op/s	165836441.933op/s	165882299.339op/s	165887635.505op/s	0.12%	-0.484	0.479	0.06%	7124.317op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.896µs	3.913µs ± 0.003µs	3.913µs ± 0.002µs	3.915µs	3.918µs	3.919µs	3.921µs	0.20%	-0.602	3.820	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255057340.003op/s	255557817.530op/s ± 198914.759op/s	255563594.967op/s ± 138968.673op/s	255703508.786op/s	255834472.296op/s	255919193.679op/s	256680161.455op/s	0.44%	0.615	3.889	0.08%	14065.398op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.845µs	65.574µs ± 0.100µs	65.575µs ± 0.060µs	65.637µs	65.725µs	65.747µs	65.754µs	0.27%	-1.895	12.604	0.15%	0.007µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15208159.446op/s	15250092.945op/s ± 23318.597op/s	15249652.510op/s ± 13945.299op/s	15262920.262op/s	15284408.379op/s	15294119.331op/s	15421417.446op/s	1.13%	1.945	13.054	0.15%	1648.874op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	52.953µs	53.015µs ± 0.035µs	53.011µs ± 0.020µs	53.031µs	53.089µs	53.118µs	53.138µs	0.24%	0.862	1.093	0.07%	0.002µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18818913.067op/s	18862770.523op/s ± 12507.478op/s	18863917.100op/s ± 6994.795op/s	18870194.528op/s	18880287.470op/s	18883954.738op/s	18884550.549op/s	0.11%	-0.857	1.082	0.07%	884.412op/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	3.917µs	3.920µs	3.927µs	0.38%	-0.394	9.482	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254660531.832op/s	255618308.978op/s ± 205567.208op/s	255627173.169op/s ± 120075.549op/s	255734452.388op/s	255886253.556op/s	255920443.437op/s	256932012.633op/s	0.51%	0.421	9.590	0.08%	14535.797op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	49.738µs	49.821µs ± 0.038µs	49.822µs ± 0.028µs	49.844µs	49.883µs	49.916µs	49.951µs	0.26%	0.217	-0.116	0.08%	0.003µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	20019778.745op/s	20071817.686op/s ± 15439.485op/s	20071526.533op/s ± 11327.973op/s	20083740.204op/s	20096478.092op/s	20100489.414op/s	20105297.746op/s	0.17%	-0.213	-0.122	0.08%	1091.736op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	44.785µs	45.146µs ± 0.130µs	45.158µs ± 0.087µs	45.236µs	45.336µs	45.415µs	45.444µs	0.63%	-0.292	-0.223	0.29%	0.009µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	22005144.446op/s	22150726.657op/s ± 63867.932op/s	22144506.978op/s ± 42458.635op/s	22190016.157op/s	22261678.425op/s	22310212.553op/s	22328994.602op/s	0.83%	0.307	-0.211	0.29%	4516.145op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.028µs	6.035µs ± 0.004µs	6.035µs ± 0.003µs	6.038µs	6.042µs	6.044µs	6.050µs	0.25%	0.437	-0.056	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	165300155.454op/s	165699602.404op/s ± 111231.232op/s	165710497.760op/s ± 83034.306op/s	165789758.577op/s	165866842.142op/s	165881186.547op/s	165903397.565op/s	0.12%	-0.434	-0.064	0.07%	7865.236op/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 [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/	throughput	[255619900.002op/s; 255666633.793op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[75.051µs; 75.238µs] or [-0.125%; +0.125%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[13292280.846op/s; 13325224.554op/s] or [-0.124%; +0.124%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[67.701µs; 67.720µs] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14766810.228op/s; 14770768.726op/s] or [-0.013%; +0.013%]	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	[255575510.475op/s; 255627322.559op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[64.486µs; 64.501µs] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[15503612.498op/s; 15507211.376op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[45.123µs; 45.161µs] or [-0.042%; +0.042%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[22143177.116op/s; 22161734.164op/s] or [-0.042%; +0.042%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.035µs; 6.036µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[165669092.535op/s; 165697019.346op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.913µs; 3.913µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255530249.857op/s; 255585385.203op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[65.560µs; 65.587µs] or [-0.021%; +0.021%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15246861.212op/s; 15253324.678op/s] or [-0.021%; +0.021%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[53.010µs; 53.019µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18861037.107op/s; 18864503.939op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255589819.340op/s; 255646798.616op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[49.816µs; 49.826µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[20069677.922op/s; 20073957.450op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[45.128µs; 45.164µs] or [-0.040%; +0.040%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[22141875.176op/s; 22159578.138op/s] or [-0.040%; +0.040%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.034µs; 6.036µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[165684186.825op/s; 165715017.983op/s] or [-0.009%; +0.009%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`c633db1`	1773418768	release

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	161.731µs	162.569µs ± 0.270µs	162.547µs ± 0.137µs	162.686µs	162.879µs	163.446µs	164.602µs	1.26%	2.420	16.670	0.17%	0.019µs	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	[162.531µs; 162.606µs] or [-0.023%; +0.023%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`c633db1`	1773418768	release

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	4.179ms	4.184ms ± 0.008ms	4.183ms ± 0.001ms	4.184ms	4.187ms	4.191ms	4.288ms	2.52%	12.530	167.005	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_frames_x1000	execution_time	[4.183ms; 4.185ms] or [-0.026%; +0.026%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`c633db1`	1773418768	release

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	88.590µs	89.391µs ± 0.195µs	89.408µs ± 0.124µs	89.513µs	89.622µs	89.888µs	90.599µs	1.33%	1.120	7.980	0.22%	0.014µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[89.364µs; 89.418µs] or [-0.030%; +0.030%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`c633db1`	1773418768	release

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	18.299µs	25.643µs ± 9.195µs	18.529µs ± 0.189µs	34.404µs	43.273µs	43.975µs	52.886µs	185.43%	0.748	-0.861	35.77%	0.650µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.369µs; 26.918µs] or [-4.970%; +4.970%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`c633db1`	1773418768	release

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	49.831ms	50.076ms ± 0.936ms	49.932ms ± 0.035ms	49.973ms	50.076ms	55.313ms	59.128ms	18.42%	7.936	65.313	1.86%	0.066ms	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	[49.946ms; 50.206ms] or [-0.259%; +0.259%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`c633db1`	1773418768	release

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	3.575ms	3.621ms ± 0.027ms	3.612ms ± 0.013ms	3.633ms	3.677ms	3.708ms	3.727ms	3.19%	1.325	1.720	0.75%	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	[3.618ms; 3.625ms] or [-0.104%; +0.104%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`c633db1`	1773418768	release

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	241.476ns	252.065ns ± 11.996ns	247.224ns ± 3.249ns	255.750ns	283.326ns	287.133ns	291.912ns	18.08%	1.787	2.238	4.75%	0.848ns	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	[250.403ns; 253.728ns] or [-0.660%; +0.660%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`c633db1`	1773418768	release

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	144.794µs	146.629µs ± 1.688µs	146.375µs ± 0.424µs	146.832µs	148.368µs	152.347µs	163.120µs	11.44%	6.087	50.076	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	[146.395µs; 146.863µs] or [-0.160%; +0.160%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`c633db1`	1773418768	release

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	738.109µs	739.540µs ± 0.770µs	739.421µs ± 0.333µs	739.794µs	740.686µs	741.396µs	746.535µs	0.96%	4.119	32.689	0.10%	0.054µs	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	[739.433µs; 739.647µs] or [-0.014%; +0.014%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`c633db1`	1773418768	release

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	execution_time	533.886µs	534.960µs ± 0.713µs	534.831µs ± 0.341µs	535.174µs	536.248µs	537.716µs	538.404µs	0.67%	2.027	6.205	0.13%	0.050µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1857341.124op/s	1869301.801op/s ± 2484.425op/s	1869749.304op/s ± 1190.953op/s	1870868.579op/s	1872075.003op/s	1872816.119op/s	1873060.074op/s	0.18%	-2.011	6.119	0.13%	175.675op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	381.424µs	382.132µs ± 0.327µs	382.125µs ± 0.202µs	382.319µs	382.589µs	382.846µs	384.390µs	0.59%	1.597	9.970	0.09%	0.023µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2601526.259op/s	2616899.317op/s ± 2238.479op/s	2616943.228op/s ± 1386.789op/s	2618346.412op/s	2619997.853op/s	2621205.150op/s	2621753.073op/s	0.18%	-1.574	9.778	0.09%	158.284op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	194.181µs	194.713µs ± 0.220µs	194.710µs ± 0.124µs	194.830µs	195.057µs	195.184µs	196.101µs	0.71%	1.231	6.912	0.11%	0.016µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5099421.954op/s	5135774.255op/s ± 5796.548op/s	5135838.190op/s ± 3272.812op/s	5139107.179op/s	5144533.712op/s	5148519.093op/s	5149831.641op/s	0.27%	-1.206	6.748	0.11%	409.878op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.329µs	36.495µs ± 0.064µs	36.496µs ± 0.048µs	36.540µs	36.585µs	36.623µs	36.650µs	0.42%	-0.117	-0.414	0.17%	0.004µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	27285465.269op/s	27401439.756op/s ± 47743.151op/s	27400009.170op/s ± 35831.185op/s	27436843.727op/s	27476920.935op/s	27513535.691op/s	27526034.776op/s	0.46%	0.126	-0.410	0.17%	3375.951op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	44.883µs	45.071µs ± 0.160µs	45.036µs ± 0.144µs	45.220µs	45.322µs	45.383µs	45.465µs	0.95%	0.313	-1.293	0.35%	0.011µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21994828.283op/s	22187501.772op/s ± 78649.749op/s	22204571.093op/s ± 71049.367op/s	22271705.278op/s	22278824.740op/s	22279661.666op/s	22280189.223op/s	0.34%	-0.306	-1.302	0.35%	5561.377op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	execution_time	[534.861µs; 535.059µs] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1868957.483op/s; 1869646.118op/s] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[382.087µs; 382.177µs] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2616589.085op/s; 2617209.548op/s] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[194.682µs; 194.743µs] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5134970.909op/s; 5136577.601op/s] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[36.486µs; 36.503µs] or [-0.024%; +0.024%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[27394823.014op/s; 27408056.497op/s] or [-0.024%; +0.024%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.049µs; 45.093µs] or [-0.049%; +0.049%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[22176601.673op/s; 22198401.871op/s] or [-0.049%; +0.049%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`c633db1`	1773418768	release

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
write only interface	execution_time	1.231µs	3.197µs ± 1.423µs	2.996µs ± 0.024µs	3.018µs	3.623µs	13.846µs	14.879µs	396.67%	7.412	55.856	44.40%	0.101µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.000µs; 3.395µs] or [-6.169%; +6.169%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`c633db1`	1773418768	release

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	33.203µs	33.790µs ± 1.014µs	33.337µs ± 0.084µs	33.491µs	35.863µs	35.932µs	38.818µs	16.44%	1.957	3.001	2.99%	0.072µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.650µs; 33.931µs] or [-0.416%; +0.416%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`c633db1`	1773418768	release

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
ip_address/quantize_peer_ip_address_benchmark	execution_time	5.144µs	5.215µs ± 0.039µs	5.203µs ± 0.036µs	5.246µs	5.286µs	5.291µs	5.298µs	1.81%	0.251	-1.117	0.75%	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	[5.210µs; 5.220µs] or [-0.105%; +0.105%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`c633db1`	1773418768	release

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	2.281µs	2.346µs ± 0.019µs	2.347µs ± 0.008µs	2.359µs	2.369µs	2.377µs	2.413µs	2.82%	-0.886	2.145	0.80%	0.001µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
tags/replace_trace_tags	execution_time	[2.343µs; 2.349µs] 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	`c633db1`	1773418768	release

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	199.121ns	201.301ns ± 1.815ns	201.214ns ± 1.458ns	202.206ns	204.974ns	205.716ns	208.479ns	3.61%	1.072	1.243	0.90%	0.128ns	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	[201.050ns; 201.553ns] or [-0.125%; +0.125%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`c633db1`	1773418768	release

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	13.092ms	13.120ms ± 0.014ms	13.120ms ± 0.008ms	13.127ms	13.144ms	13.165ms	13.171ms	0.38%	0.784	1.354	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	[13.118ms; 13.122ms] or [-0.014%; +0.014%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`c633db1`	1773418768	release

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	185.708µs	186.155µs ± 0.287µs	186.106µs ± 0.137µs	186.250µs	186.640µs	187.242µs	187.556µs	0.78%	1.919	5.410	0.15%	0.020µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5331728.838op/s	5371890.439op/s ± 8268.594op/s	5373282.976op/s ± 3962.377op/s	5376845.817op/s	5381525.396op/s	5384473.374op/s	5384783.866op/s	0.21%	-1.902	5.327	0.15%	584.678op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.976µs	18.063µs ± 0.045µs	18.056µs ± 0.029µs	18.090µs	18.145µs	18.171µs	18.203µs	0.82%	0.567	-0.032	0.25%	0.003µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	54935086.578op/s	55363485.542op/s ± 136884.745op/s	55384631.511op/s ± 88785.553op/s	55465114.027op/s	55555914.778op/s	55617299.865op/s	55630742.764op/s	0.44%	-0.555	-0.051	0.25%	9679.213op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	9.853µs	9.908µs ± 0.044µs	9.903µs ± 0.017µs	9.924µs	9.941µs	9.951µs	10.433µs	5.35%	8.532	100.248	0.44%	0.003µs	1	200
normalization/normalize_name/normalize_name/good	throughput	95850821.267op/s	100934890.073op/s ± 431847.550op/s	100976179.639op/s ± 172522.146op/s	101105225.674op/s	101380071.183op/s	101467846.193op/s	101488029.794op/s	0.51%	-8.145	94.250	0.43%	30536.233op/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	[186.115µs; 186.194µs] or [-0.021%; +0.021%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5370744.491op/s; 5373036.386op/s] or [-0.021%; +0.021%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.056µs; 18.069µs] or [-0.034%; +0.034%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55344514.633op/s; 55382456.452op/s] or [-0.034%; +0.034%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[9.901µs; 9.914µs] or [-0.061%; +0.061%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[100875040.156op/s; 100994739.990op/s] or [-0.059%; +0.059%]	None	None	None

Baseline

Omitted due to size.

dd-octo-sts bot and others added 21 commits February 10, 2026 16:18

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dd-octo-sts bot added skip-changelog-check skip-metadata-check labels Mar 13, 2026

github-actions bot added mini-agent data-pipeline crashtracker labels Mar 13, 2026

iunanua marked this pull request as ready for review March 13, 2026 17:00

iunanua requested review from a team as code owners March 13, 2026 17:00

iunanua requested review from mabdinur and removed request for a team March 13, 2026 17:00

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iunanua marked this pull request as draft March 13, 2026 17:34

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📚 Documentation Check Results

📦 libdd-crashtracker - 1053 warning(s)

📦 libdd-data-pipeline - 796 warning(s)

📦 libdd-library-config - 148 warning(s)

📦 libdd-trace-normalization - 125 warning(s)

📦 libdd-trace-obfuscation - 522 warning(s)

📦 libdd-trace-protobuf - 110 warning(s)

📦 libdd-trace-stats - 492 warning(s)

📦 libdd-trace-utils - 485 warning(s)

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🔒 Cargo Deny Results

📦 libdd-crashtracker - 1 error(s)

📦 libdd-data-pipeline - 1 error(s)

📦 libdd-library-config - ✅ 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

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Codecov Report

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Benchmarks

Comparison

Explanation

More details about the CI and significant changes

scenario:benching serializing traces from their internal representation to msgpack

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

scenario:credit_card/is_card_number/x371413321323331

scenario:credit_card/is_card_number_no_luhn/x371413321323331

scenario:normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...

scenario:normalization/normalize_name/normalize_name/good

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

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

scenario:tags/replace_trace_tags

Candidate

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Group 19

Baseline

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📦 `libdd-crashtracker` - 1053 warning(s)

📦 `libdd-data-pipeline` - 796 warning(s)

📦 `libdd-library-config` - 148 warning(s)

📦 `libdd-trace-normalization` - 125 warning(s)

📦 `libdd-trace-obfuscation` - 522 warning(s)

📦 `libdd-trace-protobuf` - 110 warning(s)

📦 `libdd-trace-stats` - 492 warning(s)

📦 `libdd-trace-utils` - 485 warning(s)

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📦 `libdd-crashtracker` - 1 error(s)

📦 `libdd-data-pipeline` - 1 error(s)

📦 `libdd-library-config` - ✅ 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

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