feat(data-pipeline): port dd-trace-rs trace buffer implementation by paullegranddc · Pull Request #1826 · DataDog/libdatadog

paullegranddc · 2026-03-31T09:20:42Z

Motivation

As we implement native spans in ruby in python, we have opportuinities to replace more components of the span pipeline with native code.

One of them i the span buffer which we is before the trace exporter.

Changes

Add a TraceBuffer implementation.
The TraceBuffer is split in two part, a Sender which allows putting trace chunks in the queue and a background task, spawned on the shared runtime which periodically pulls data from the chunk and submit them using the TraceExporter.

With the refactor the stop action is processed right away without processing all actions sent before it. This can cause some message to be lost if they were submitted right before shutdown.

github-actions · 2026-03-31T09:22:02Z

📚 Documentation Check Results

⚠️ 891 documentation warning(s) found

📦 `libdd-data-pipeline` - 891 warning(s)

Updated: 2026-03-31 17:35:02 UTC | Commit: a963d74 | missing-docs job results

# Motivation As we implement native spans in ruby in python, we have opportuinities to replace more components of the span pipeline with native code. One of them i the span buffer which we is before the trace exporter. # Changes Add a TraceBuffer implementation. The TraceBuffer is split in two part, a Sender which allows putting trace chunks in the queue and a background task, spawned on the shared runtime which periodically pulls data from the chunk and submit them using the TraceExporter.

github-actions · 2026-03-31T09:23:45Z

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

Base Branch: origin/vianney/implement-shared-runtime
PR Branch: origin/paullgdc/data-pipeline/trace_buffer

Summary by Rule

Rule	Base Branch	PR Branch	Change
unwrap_used	2	3	⚠️ +1 (+50.0%)
Total	2	3	⚠️ +1 (+50.0%)

Annotation Counts by File

File	Base Branch	PR Branch	Change
`libdd-data-pipeline/src/trace_buffer/mod.rs`	0	1	⚠️ +1 (N/A)
`libdd-data-pipeline/src/trace_exporter/mod.rs`	2	2	No change (0%)

Annotation Stats by Crate

Crate	Base Branch	PR Branch	Change
`clippy-annotation-reporter`	5	5	No change (0%)
`datadog-ffe-ffi`	1	1	No change (0%)
`datadog-ipc`	20	20	No change (0%)
`datadog-live-debugger`	6	6	No change (0%)
`datadog-live-debugger-ffi`	10	10	No change (0%)
`datadog-profiling-replayer`	4	4	No change (0%)
`datadog-remote-config`	3	3	No change (0%)
`datadog-sidecar`	55	55	No change (0%)
`libdd-common`	10	10	No change (0%)
`libdd-common-ffi`	12	12	No change (0%)
`libdd-data-pipeline`	5	6	⚠️ +1 (+20.0%)
`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	196	⚠️ +1 (+0.5%)

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.

github-actions · 2026-03-31T09:24:49Z

🔒 Cargo Deny Results

⚠️ 1 issue(s) found, showing only errors (advisories, bans, sources)

📦 `libdd-data-pipeline` - 1 error(s)

Show output

error[vulnerability]: Denial of Service via Stack Exhaustion
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:276:1
    │
276 │ 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

Updated: 2026-03-31 17:37:55 UTC | Commit: a963d74 | dependency-check job results

datadog-datadog-prod-us1 · 2026-03-31T09:36:40Z

⚠️ Tests

✨ Fix all issues with BitsAI or with Cursor

⚠️ Other Violations

🧪 1 Test failed

worker::tests::reset::test_reset_clears_buffered_data from libdd-telemetry (Fix with Cursor)
Test has failed

ℹ️ Info

No other issues found (see more)

❄️ No new flaky tests detected

_{This comment will be updated automatically if new data arrives.

🔗 Commit SHA: e6f17c2 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!}

pr-commenter · 2026-03-31T09:40:59Z

Benchmarks

Comparison

Benchmark execution time: 2026-03-31 09:40:19

Comparing candidate commit 5938b42 in PR branch paullgdc/data-pipeline/trace_buffer with baseline commit 41bff26 in branch vianney/implement-shared-runtime.

Found 0 performance improvements and 1 performance regressions! Performance is the same for 61 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:tags/replace_trace_tags

🟥 execution_time [+152.789ns; +159.307ns] or [+6.346%; +6.616%]

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	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

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	145.162µs	147.194µs ± 1.851µs	146.987µs ± 0.608µs	147.504µs	148.894µs	154.489µs	165.669µs	12.71%	6.214	53.332	1.25%	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	[146.937µs; 147.450µs] or [-0.174%; +0.174%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

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	244.115ns	254.188ns ± 13.661ns	247.446ns ± 1.207ns	256.824ns	284.718ns	299.800ns	301.808ns	21.97%	1.954	2.976	5.36%	0.966ns	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_trace/test_trace	execution_time	[252.294ns; 256.081ns] or [-0.745%; +0.745%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

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	755.490µs	757.180µs ± 0.605µs	757.134µs ± 0.376µs	757.532µs	758.231µs	758.721µs	758.947µs	0.24%	0.326	0.400	0.08%	0.043µs	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	[757.096µs; 757.264µs] or [-0.011%; +0.011%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

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	3.425ms	3.453ms ± 0.018ms	3.448ms ± 0.011ms	3.464ms	3.487ms	3.498ms	3.525ms	2.24%	0.984	0.832	0.51%	0.001ms	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	[3.450ms; 3.455ms] or [-0.071%; +0.071%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

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	4.372ms	4.377ms ± 0.002ms	4.377ms ± 0.002ms	4.378ms	4.381ms	4.383ms	4.390ms	0.30%	1.067	3.179	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	[4.377ms; 4.377ms] or [-0.008%; +0.008%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

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	2.536µs	2.564µs ± 0.017µs	2.560µs ± 0.011µs	2.573µs	2.596µs	2.608µs	2.616µs	2.18%	0.735	-0.111	0.65%	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	[2.561µs; 2.566µs] or [-0.091%; +0.091%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
credit_card/is_card_number/	execution_time	3.893µs	3.914µs ± 0.004µs	3.913µs ± 0.002µs	3.916µs	3.919µs	3.922µs	3.928µs	0.38%	-0.124	7.013	0.09%	0.000µs	1	200
credit_card/is_card_number/	throughput	254600717.643op/s	255512513.409op/s ± 228583.913op/s	255579476.992op/s ± 124824.793op/s	255664568.087op/s	255737052.045op/s	255777886.821op/s	256886255.168op/s	0.51%	0.148	7.108	0.09%	16163.323op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	79.549µs	80.012µs ± 0.253µs	79.965µs ± 0.155µs	80.140µs	80.549µs	80.616µs	80.707µs	0.93%	0.751	-0.044	0.32%	0.018µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12390503.878op/s	12498179.354op/s ± 39470.673op/s	12505514.939op/s ± 24184.513op/s	12527126.558op/s	12550250.639op/s	12562153.382op/s	12570921.367op/s	0.52%	-0.738	-0.064	0.32%	2790.998op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	73.143µs	73.591µs ± 0.229µs	73.555µs ± 0.142µs	73.725µs	74.000µs	74.257µs	74.528µs	1.32%	0.743	0.958	0.31%	0.016µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13417733.508op/s	13588742.076op/s ± 42218.429op/s	13595181.912op/s ± 26183.206op/s	13618234.480op/s	13650845.305op/s	13665220.412op/s	13671818.060op/s	0.56%	-0.721	0.894	0.31%	2985.294op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.894µs	3.917µs ± 0.005µs	3.916µs ± 0.003µs	3.919µs	3.925µs	3.942µs	3.947µs	0.79%	1.898	12.307	0.13%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	253347052.827op/s	255293143.117op/s ± 331215.054op/s	255342918.091op/s ± 170479.472op/s	255491747.091op/s	255620352.412op/s	255701130.017op/s	256832818.930op/s	0.58%	-1.856	12.169	0.13%	23420.441op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	69.605µs	69.979µs ± 0.230µs	69.940µs ± 0.142µs	70.124µs	70.418µs	70.558µs	70.840µs	1.29%	0.778	0.470	0.33%	0.016µs	1	200
credit_card/is_card_number/378282246310005	throughput	14116301.742op/s	14290119.381op/s ± 46778.607op/s	14297951.818op/s ± 29155.792op/s	14323720.442op/s	14354096.083op/s	14365366.281op/s	14366723.373op/s	0.48%	-0.759	0.423	0.33%	3307.747op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	51.561µs	52.017µs ± 0.192µs	52.039µs ± 0.140µs	52.163µs	52.296µs	52.358µs	52.389µs	0.67%	-0.308	-0.741	0.37%	0.014µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19087893.420op/s	19224691.039op/s ± 71022.559op/s	19216312.118op/s ± 51643.365op/s	19277026.130op/s	19345199.103op/s	19377081.744op/s	19394638.076op/s	0.93%	0.321	-0.731	0.37%	5022.053op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	5.746µs	5.884µs ± 0.054µs	5.882µs ± 0.035µs	5.915µs	5.977µs	6.011µs	6.015µs	2.27%	0.035	-0.230	0.91%	0.004µs	1	200
credit_card/is_card_number/x371413321323331	throughput	166238848.022op/s	169964129.026op/s ± 1548728.618op/s	170004704.233op/s ± 1015979.168op/s	171110156.247op/s	172437366.587op/s	173319885.316op/s	174046044.711op/s	2.38%	0.013	-0.229	0.91%	109511.651op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.894µs	3.918µs ± 0.004µs	3.917µs ± 0.003µs	3.920µs	3.925µs	3.927µs	3.931µs	0.35%	-0.469	4.445	0.11%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254401296.829op/s	255250206.334op/s ± 269425.943op/s	255286703.763op/s ± 171973.284op/s	255432114.207op/s	255586331.382op/s	255684132.656op/s	256796304.225op/s	0.59%	0.489	4.547	0.11%	19051.291op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.193µs	64.393µs ± 0.117µs	64.363µs ± 0.057µs	64.435µs	64.631µs	64.801µs	64.873µs	0.79%	1.493	2.753	0.18%	0.008µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15414672.476op/s	15529724.925op/s ± 28134.668op/s	15536833.450op/s ± 13794.405op/s	15547075.037op/s	15562010.099op/s	15568728.678op/s	15578011.637op/s	0.27%	-1.479	2.700	0.18%	1989.421op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	57.487µs	57.615µs ± 0.092µs	57.599µs ± 0.057µs	57.659µs	57.786µs	57.851µs	57.995µs	0.69%	1.149	1.872	0.16%	0.006µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	17242920.443op/s	17356621.217op/s ± 27547.458op/s	17361332.840op/s ± 17136.325op/s	17376897.436op/s	17391244.900op/s	17393536.631op/s	17395174.579op/s	0.19%	-1.136	1.824	0.16%	1947.899op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.901µs	3.917µs ± 0.004µs	3.916µs ± 0.003µs	3.919µs	3.924µs	3.928µs	3.931µs	0.39%	0.536	0.951	0.11%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254381684.678op/s	255329191.025op/s ± 274053.523op/s	255373173.071op/s ± 174269.807op/s	255522235.569op/s	255677287.135op/s	255792287.145op/s	256329373.409op/s	0.37%	-0.528	0.950	0.11%	19378.510op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	54.606µs	54.791µs ± 0.135µs	54.762µs ± 0.061µs	54.827µs	55.113µs	55.255µs	55.452µs	1.26%	2.060	5.210	0.25%	0.010µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	18033460.050op/s	18251216.346op/s ± 44717.898op/s	18260881.540op/s ± 20178.563op/s	18279949.638op/s	18298739.401op/s	18309197.391op/s	18313075.536op/s	0.29%	-2.038	5.102	0.24%	3162.033op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	51.404µs	52.145µs ± 0.239µs	52.158µs ± 0.186µs	52.359µs	52.443µs	52.482µs	52.532µs	0.72%	-0.713	0.140	0.46%	0.017µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19035976.714op/s	19177654.413op/s ± 88263.922op/s	19172533.331op/s ± 68386.954op/s	19231939.616op/s	19346709.831op/s	19437837.774op/s	19453846.857op/s	1.47%	0.736	0.199	0.46%	6241.202op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	5.706µs	5.887µs ± 0.055µs	5.898µs ± 0.035µs	5.922µs	5.969µs	6.001µs	6.050µs	2.57%	-0.367	0.332	0.94%	0.004µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	165296818.766op/s	169884924.669op/s ± 1606249.539op/s	169552986.733op/s ± 996677.214op/s	170742116.737op/s	172520793.526op/s	174112874.907op/s	175244568.347op/s	3.36%	0.429	0.392	0.94%	113578.994op/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	[3.913µs; 3.914µs] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/	throughput	[255480833.877op/s; 255544192.941op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[79.977µs; 80.048µs] or [-0.044%; +0.044%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12492709.099op/s; 12503649.610op/s] or [-0.044%; +0.044%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[73.559µs; 73.623µs] or [-0.043%; +0.043%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13582891.008op/s; 13594593.144op/s] or [-0.043%; +0.043%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.916µs; 3.918µs] or [-0.018%; +0.018%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255247239.896op/s; 255339046.338op/s] or [-0.018%; +0.018%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[69.947µs; 70.011µs] or [-0.045%; +0.045%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14283636.316op/s; 14296602.446op/s] or [-0.045%; +0.045%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[51.991µs; 52.044µs] or [-0.051%; +0.051%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19214847.995op/s; 19234534.082op/s] or [-0.051%; +0.051%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[5.877µs; 5.892µs] or [-0.126%; +0.126%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[169749490.134op/s; 170178767.917op/s] or [-0.126%; +0.126%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.917µs; 3.918µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255212866.489op/s; 255287546.178op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[64.377µs; 64.409µs] or [-0.025%; +0.025%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15525825.730op/s; 15533624.119op/s] or [-0.025%; +0.025%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[57.602µs; 57.628µs] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17352803.404op/s; 17360439.030op/s] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.916µs; 3.917µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255291209.843op/s; 255367172.208op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[54.772µs; 54.810µs] or [-0.034%; +0.034%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18245018.876op/s; 18257413.817op/s] or [-0.034%; +0.034%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.112µs; 52.178µs] or [-0.064%; +0.064%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19165421.883op/s; 19189886.944op/s] or [-0.064%; +0.064%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[5.879µs; 5.895µs] or [-0.131%; +0.131%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[169662313.931op/s; 170107535.407op/s] or [-0.131%; +0.131%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

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	534.633µs	535.331µs ± 0.508µs	535.168µs ± 0.278µs	535.624µs	536.259µs	536.822µs	537.367µs	0.41%	1.130	1.071	0.09%	0.036µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1860925.180op/s	1868003.766op/s ± 1770.247op/s	1868573.345op/s ± 970.945op/s	1869242.578op/s	1870152.146op/s	1870372.134op/s	1870441.555op/s	0.10%	-1.125	1.052	0.09%	125.175op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	381.913µs	382.847µs ± 0.462µs	382.768µs ± 0.306µs	383.111µs	383.632µs	384.109µs	384.633µs	0.49%	0.821	1.012	0.12%	0.033µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2599877.693op/s	2612015.951op/s ± 3149.675op/s	2612545.626op/s ± 2091.495op/s	2614298.777op/s	2615896.217op/s	2617295.626op/s	2618394.105op/s	0.22%	-0.812	0.987	0.12%	222.716op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	194.544µs	195.514µs ± 0.494µs	195.557µs ± 0.254µs	195.778µs	196.104µs	196.446µs	199.155µs	1.84%	1.821	13.424	0.25%	0.035µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5021211.978op/s	5114754.570op/s ± 12878.646op/s	5113610.637op/s ± 6643.531op/s	5121482.960op/s	5135117.765op/s	5138075.153op/s	5140234.387op/s	0.52%	-1.731	12.663	0.25%	910.658op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.963µs	38.315µs ± 0.130µs	38.306µs ± 0.082µs	38.406µs	38.534µs	38.604µs	38.736µs	1.12%	0.080	0.277	0.34%	0.009µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	25815922.272op/s	26099776.312op/s ± 88862.624op/s	26105454.639op/s ± 56048.329op/s	26153468.819op/s	26245179.056op/s	26322381.104op/s	26341483.420op/s	0.90%	-0.057	0.269	0.34%	6283.536op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.801µs	45.943µs ± 0.080µs	45.923µs ± 0.039µs	45.982µs	46.106µs	46.191µs	46.281µs	0.78%	1.323	2.228	0.17%	0.006µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21607035.251op/s	21766200.000op/s ± 37815.879op/s	21775786.351op/s ± 18332.460op/s	21790339.048op/s	21810108.906op/s	21827075.042op/s	21833399.036op/s	0.26%	-1.310	2.181	0.17%	2673.986op/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	[535.261µs; 535.402µs] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1867758.427op/s; 1868249.105op/s] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[382.783µs; 382.911µs] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2611579.437op/s; 2612452.466op/s] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[195.446µs; 195.583µs] or [-0.035%; +0.035%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5112969.714op/s; 5116539.427op/s] or [-0.035%; +0.035%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[38.297µs; 38.333µs] or [-0.047%; +0.047%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26087460.807op/s; 26112091.817op/s] or [-0.047%; +0.047%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.932µs; 45.954µs] or [-0.024%; +0.024%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21760959.083op/s; 21771440.917op/s] or [-0.024%; +0.024%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
two way interface	execution_time	14.987µs	15.554µs ± 0.201µs	15.537µs ± 0.120µs	15.665µs	15.953µs	16.031µs	16.179µs	4.13%	0.347	0.427	1.29%	0.014µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[15.526µs; 15.581µs] or [-0.179%; +0.179%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

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	14.724ms	14.797ms ± 0.030ms	14.793ms ± 0.017ms	14.813ms	14.846ms	14.863ms	14.944ms	1.01%	1.270	4.631	0.20%	0.002ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching serializing traces from their internal representation to msgpack	execution_time	[14.793ms; 14.801ms] or [-0.028%; +0.028%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

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	191.119ns	193.821ns ± 2.150ns	193.349ns ± 1.179ns	194.677ns	197.961ns	201.344ns	203.578ns	5.29%	1.519	3.216	1.11%	0.152ns	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	[193.523ns; 194.119ns] or [-0.154%; +0.154%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

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	5.222µs	5.418µs ± 0.037µs	5.416µs ± 0.026µs	5.445µs	5.477µs	5.492µs	5.500µs	1.54%	-0.476	2.764	0.68%	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	[5.413µs; 5.424µs] or [-0.095%; +0.095%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

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	14.862ms	14.910ms ± 0.017ms	14.909ms ± 0.010ms	14.919ms	14.936ms	14.960ms	14.985ms	0.51%	0.492	2.000	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	[14.907ms; 14.912ms] or [-0.016%; +0.016%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

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	288.634µs	289.526µs ± 0.576µs	289.438µs ± 0.190µs	289.612µs	290.412µs	291.836µs	293.627µs	1.45%	3.600	20.030	0.20%	0.041µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[289.446µs; 289.605µs] 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	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

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	185.650µs	186.487µs ± 0.660µs	186.242µs ± 0.295µs	186.951µs	187.750µs	188.363µs	188.613µs	1.27%	1.102	0.272	0.35%	0.047µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5301872.025op/s	5362364.084op/s ± 18900.401op/s	5369366.076op/s ± 8519.453op/s	5376292.601op/s	5381953.072op/s	5385146.412op/s	5386485.013op/s	0.32%	-1.091	0.237	0.35%	1336.460op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.850µs	17.979µs ± 0.065µs	17.977µs ± 0.035µs	18.007µs	18.102µs	18.168µs	18.229µs	1.40%	0.898	1.787	0.36%	0.005µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	54857142.857op/s	55620139.313op/s ± 200755.788op/s	55626646.928op/s ± 107684.306op/s	55755093.011op/s	55924799.103op/s	55994131.933op/s	56020865.905op/s	0.71%	-0.866	1.698	0.36%	14195.578op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	9.864µs	9.929µs ± 0.072µs	9.885µs ± 0.015µs	9.978µs	10.073µs	10.122µs	10.129µs	2.47%	1.090	-0.146	0.72%	0.005µs	1	200
normalization/normalize_name/normalize_name/good	throughput	98726648.921op/s	100717184.066op/s ± 725984.940op/s	101166649.247op/s ± 148775.520op/s	101249768.524op/s	101322506.300op/s	101361822.768op/s	101379910.161op/s	0.21%	-1.075	-0.189	0.72%	51334.887op/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	[186.396µs; 186.579µs] or [-0.049%; +0.049%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5359744.670op/s; 5364983.498op/s] or [-0.049%; +0.049%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.970µs; 17.988µs] or [-0.050%; +0.050%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55592316.492op/s; 55647962.135op/s] or [-0.050%; +0.050%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[9.919µs; 9.939µs] or [-0.101%; +0.101%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[100616569.535op/s; 100817798.596op/s] or [-0.100%; +0.100%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

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	4.374ms	4.381ms ± 0.009ms	4.379ms ± 0.002ms	4.382ms	4.385ms	4.393ms	4.501ms	2.78%	11.444	145.811	0.21%	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	[4.379ms; 4.382ms] or [-0.029%; +0.029%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

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	33.647µs	34.231µs ± 0.984µs	33.772µs ± 0.056µs	33.889µs	36.332µs	36.419µs	37.277µs	10.38%	1.703	1.004	2.87%	0.070µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[34.094µs; 34.367µs] or [-0.399%; +0.399%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

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	934.320µs	937.751µs ± 2.304µs	937.143µs ± 1.085µs	938.459µs	941.935µs	945.090µs	951.054µs	1.48%	1.823	5.759	0.25%	0.163µs	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	[937.431µs; 938.070µs] or [-0.034%; +0.034%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

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	4.929µs	5.007µs ± 0.052µs	5.013µs ± 0.055µs	5.046µs	5.091µs	5.093µs	5.097µs	1.68%	0.231	-1.377	1.03%	0.004µs	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	[5.000µs; 5.014µs] or [-0.143%; +0.143%]	None	None	None

Group 20

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching string interning on wordpress profile	execution_time	160.220µs	161.100µs ± 0.614µs	161.078µs ± 0.227µs	161.283µs	161.677µs	162.973µs	165.895µs	2.99%	4.142	27.671	0.38%	0.043µs	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	[161.015µs; 161.185µs] or [-0.053%; +0.053%]	None	None	None

Group 21

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`5938b42`	1774948956	paullgdc/data-pipeline/trace_buffer

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	47.873ms	48.280ms ± 0.975ms	48.127ms ± 0.095ms	48.260ms	48.438ms	53.542ms	58.876ms	22.33%	8.559	79.737	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	[48.145ms; 48.416ms] or [-0.280%; +0.280%]	None	None	None