feat(stats)!: string field length limit by Eldolfin · Pull Request #2267 · DataDog/libdatadog

Eldolfin · 2026-07-23T09:40:02Z

What does this PR do?

Implement the String length limits section of the cardinality limit RFC.

Motivation

CSS spec compliance.

Additional Notes

Anything else we should know when reviewing?

How to test the change?

Describe here in detail how the change can be validated.

Eldolfin · 2026-07-23T09:46:08Z

@codex review

chatgpt-codex-connector

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Reviewed commit: 73f237b8ac

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datadog-official · 2026-07-23T09:59:59Z

Tests

🎉 All green!

🧪 All tests passed
❄️ No new flaky tests detected

🎯 Code Coverage (details)
• Patch Coverage: 97.09%
• Overall Coverage: 74.76% (+0.10%)

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

🔗 Commit SHA: 6ade2ad | Docs | Datadog PR Page | Give us feedback!}

chatgpt-codex-connector

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Reviewed commit: d5467cd14d

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dd-octo-sts · 2026-07-23T10:29:15Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	88.18 MB	88.18 MB	+0% (+4.60 KB) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.13 MB	8.13 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	10.93 MB	10.93 MB	+0% (+56 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	99.46 MB	99.46 MB	+0% (+4.41 KB) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	26.59 MB	26.59 MB	+0% (+1.00 KB) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	89.18 KB	89.18 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	191.41 MB	191.37 MB	--.01% (-32.00 KB) 💪
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	1.04 GB	1.04 GB	+0% (+71.30 KB) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	8.66 MB	8.66 MB	+.01% (+1.00 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	89.18 KB	89.18 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	25.36 MB	25.36 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	50.55 MB	50.56 MB	+0% (+2.82 KB) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	23.16 MB	23.16 MB	+0% (+1.50 KB) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	90.58 KB	90.58 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	196.08 MB	196.07 MB	-0% (-8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	1.03 GB	1.03 GB	+0% (+85.69 KB) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	6.68 MB	6.68 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	90.58 KB	90.58 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	27.26 MB	27.26 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	48.13 MB	48.13 MB	+0% (+2.19 KB) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	78.64 MB	78.64 MB	+0% (+3.86 KB) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	9.05 MB	9.05 MB	0% (0 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	94.14 MB	94.14 MB	+0% (+3.75 KB) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.02 MB	11.02 MB	+.03% (+4.02 KB) 🔍

pr-commenter · 2026-07-23T10:42:57Z

Benchmarks

Comparison

Benchmark execution time: 2026-07-28 13:41:21

Comparing candidate commit 6ade2ad in PR branch oscarld/stats-string-length-limits with baseline commit 95610de in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 24 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 ----------------------------------'

Benchmark execution time: 2026-07-28 13:38:57

Comparing candidate commit 6ade2ad in PR branch oscarld/stats-string-length-limits with baseline commit 79eff2f in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 3 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 ----------------------------------'

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	`6ade2ad`	1785245439	oscarld/stats-string-length-limits

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
trace_buffer/1_senders/10us_delay	execution_time	56.326ms	56.577ms ± 0.131ms	56.556ms ± 0.080ms	56.645ms	56.807ms	56.927ms	57.253ms	1.23%	1.178	3.166	0.23%	0.009ms	1	200
trace_buffer/1_senders/10us_delay	throughput	15719.788op/s	15907.606op/s ± 36.664op/s	15913.434op/s ± 22.551op/s	15934.818op/s	15955.463op/s	15971.652op/s	15978.543op/s	0.41%	-1.152	3.039	0.23%	2.593op/s	1	200
trace_buffer/1_senders/1us_delay	execution_time	49.941ms	50.079ms ± 0.032ms	50.074ms ± 0.011ms	50.086ms	50.139ms	50.195ms	50.206ms	0.26%	1.103	4.864	0.06%	0.002ms	1	200
trace_buffer/1_senders/1us_delay	throughput	17926.255op/s	17971.620op/s ± 11.626op/s	17973.360op/s ± 4.044op/s	17976.840op/s	17988.035op/s	17991.344op/s	18021.234op/s	0.27%	-1.092	4.858	0.06%	0.822op/s	1	200
trace_buffer/1_senders/no_delay	execution_time	331.521µs	340.626µs ± 5.278µs	340.253µs ± 1.910µs	342.120µs	345.495µs	354.114µs	395.499µs	16.24%	5.869	57.227	1.55%	0.373µs	1	200
trace_buffer/1_senders/no_delay	throughput	2275607.471op/s	2642777.370op/s ± 37830.697op/s	2645091.938op/s ± 14835.245op/s	2660516.644op/s	2688105.614op/s	2699799.818op/s	2714757.780op/s	2.63%	-4.825	43.333	1.43%	2675.034op/s	1	200
trace_buffer/2_senders/10us_delay	execution_time	56.838ms	57.197ms ± 0.170ms	57.168ms ± 0.127ms	57.315ms	57.507ms	57.568ms	57.579ms	0.72%	0.280	-0.644	0.30%	0.012ms	1	200
trace_buffer/2_senders/10us_delay	throughput	31261.277op/s	31470.645op/s ± 93.574op/s	31485.961op/s ± 70.025op/s	31542.450op/s	31607.382op/s	31642.396op/s	31668.907op/s	0.58%	-0.269	-0.650	0.30%	6.617op/s	1	200
trace_buffer/2_senders/1us_delay	execution_time	50.000ms	50.111ms ± 0.034ms	50.107ms ± 0.020ms	50.125ms	50.184ms	50.202ms	50.221ms	0.23%	0.728	1.157	0.07%	0.002ms	1	200
trace_buffer/2_senders/1us_delay	throughput	35841.864op/s	35920.591op/s ± 24.508op/s	35922.995op/s ± 14.089op/s	35937.969op/s	35949.129op/s	35957.186op/s	36000.150op/s	0.21%	-0.722	1.154	0.07%	1.733op/s	1	200
trace_buffer/2_senders/no_delay	execution_time	852.643µs	898.026µs ± 20.002µs	900.165µs ± 11.153µs	908.673µs	923.925µs	946.385µs	990.537µs	10.04%	0.687	3.344	2.22%	1.414µs	1	200
trace_buffer/2_senders/no_delay	throughput	1817196.433op/s	2005372.845op/s ± 44142.341op/s	1999632.972op/s ± 24721.380op/s	2033830.326op/s	2082209.514op/s	2102387.174op/s	2111082.971op/s	5.57%	-0.392	2.245	2.20%	3121.335op/s	1	200
trace_buffer/4_senders/10us_delay	execution_time	57.154ms	57.449ms ± 0.121ms	57.441ms ± 0.079ms	57.528ms	57.632ms	57.807ms	57.909ms	0.82%	0.365	0.699	0.21%	0.009ms	1	200
trace_buffer/4_senders/10us_delay	throughput	62165.997op/s	62664.398op/s ± 131.863op/s	62673.067op/s ± 85.697op/s	62750.849op/s	62886.174op/s	62920.729op/s	62987.613op/s	0.50%	-0.349	0.665	0.21%	9.324op/s	1	200
trace_buffer/4_senders/1us_delay	execution_time	50.089ms	50.167ms ± 0.040ms	50.159ms ± 0.017ms	50.176ms	50.252ms	50.308ms	50.346ms	0.37%	1.777	4.321	0.08%	0.003ms	1	200
trace_buffer/4_senders/1us_delay	throughput	71505.632op/s	71760.133op/s ± 57.273op/s	71772.068op/s ± 24.223op/s	71795.994op/s	71824.143op/s	71833.254op/s	71871.900op/s	0.14%	-1.770	4.287	0.08%	4.050op/s	1	200
trace_buffer/4_senders/no_delay	execution_time	2.094ms	2.356ms ± 0.088ms	2.352ms ± 0.058ms	2.413ms	2.509ms	2.539ms	2.579ms	9.65%	0.019	-0.017	3.71%	0.006ms	1	200
trace_buffer/4_senders/no_delay	throughput	1395714.401op/s	1529863.463op/s ± 57167.052op/s	1530343.171op/s ± 37261.971op/s	1566085.140op/s	1612565.682op/s	1685633.033op/s	1719307.012op/s	12.35%	0.212	0.228	3.73%	4042.321op/s	1	200
trace_buffer/8_senders/10us_delay	execution_time	57.617ms	57.901ms ± 0.192ms	57.849ms ± 0.105ms	58.036ms	58.275ms	58.399ms	58.505ms	1.13%	0.932	0.006	0.33%	0.014ms	1	200
trace_buffer/8_senders/10us_delay	throughput	123066.716op/s	124351.338op/s ± 411.374op/s	124461.114op/s ± 226.776op/s	124656.586op/s	124831.733op/s	124924.996op/s	124963.171op/s	0.40%	-0.920	-0.020	0.33%	29.089op/s	1	200
trace_buffer/8_senders/1us_delay	execution_time	50.207ms	50.293ms ± 0.055ms	50.277ms ± 0.028ms	50.320ms	50.396ms	50.461ms	50.565ms	0.57%	1.531	3.200	0.11%	0.004ms	1	200
trace_buffer/8_senders/1us_delay	throughput	142390.869op/s	143160.239op/s ± 157.105op/s	143207.249op/s ± 79.669op/s	143272.714op/s	143328.641op/s	143358.708op/s	143406.664op/s	0.14%	-1.521	3.151	0.11%	11.109op/s	1	200
trace_buffer/8_senders/no_delay	execution_time	6.203ms	6.517ms ± 0.111ms	6.532ms ± 0.089ms	6.606ms	6.681ms	6.707ms	6.715ms	2.80%	-0.356	-0.650	1.70%	0.008ms	1	200
trace_buffer/8_senders/no_delay	throughput	1072276.021op/s	1105184.584op/s ± 18949.522op/s	1102249.007op/s ± 14959.020op/s	1118669.497op/s	1138237.143op/s	1149864.809op/s	1160761.365op/s	5.31%	0.419	-0.567	1.71%	1339.934op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
trace_buffer/1_senders/10us_delay	execution_time	[56.559ms; 56.595ms] or [-0.032%; +0.032%]	None	None	None
trace_buffer/1_senders/10us_delay	throughput	[15902.525op/s; 15912.688op/s] or [-0.032%; +0.032%]	None	None	None
trace_buffer/1_senders/1us_delay	execution_time	[50.074ms; 50.083ms] or [-0.009%; +0.009%]	None	None	None
trace_buffer/1_senders/1us_delay	throughput	[17970.009op/s; 17973.232op/s] or [-0.009%; +0.009%]	None	None	None
trace_buffer/1_senders/no_delay	execution_time	[339.894µs; 341.357µs] or [-0.215%; +0.215%]	None	None	None
trace_buffer/1_senders/no_delay	throughput	[2637534.399op/s; 2648020.341op/s] or [-0.198%; +0.198%]	None	None	None
trace_buffer/2_senders/10us_delay	execution_time	[57.173ms; 57.220ms] or [-0.041%; +0.041%]	None	None	None
trace_buffer/2_senders/10us_delay	throughput	[31457.677op/s; 31483.614op/s] or [-0.041%; +0.041%]	None	None	None
trace_buffer/2_senders/1us_delay	execution_time	[50.106ms; 50.115ms] or [-0.009%; +0.009%]	None	None	None
trace_buffer/2_senders/1us_delay	throughput	[35917.194op/s; 35923.988op/s] or [-0.009%; +0.009%]	None	None	None
trace_buffer/2_senders/no_delay	execution_time	[895.254µs; 900.798µs] or [-0.309%; +0.309%]	None	None	None
trace_buffer/2_senders/no_delay	throughput	[1999255.141op/s; 2011490.549op/s] or [-0.305%; +0.305%]	None	None	None
trace_buffer/4_senders/10us_delay	execution_time	[57.432ms; 57.466ms] or [-0.029%; +0.029%]	None	None	None
trace_buffer/4_senders/10us_delay	throughput	[62646.123op/s; 62682.673op/s] or [-0.029%; +0.029%]	None	None	None
trace_buffer/4_senders/1us_delay	execution_time	[50.162ms; 50.173ms] or [-0.011%; +0.011%]	None	None	None
trace_buffer/4_senders/1us_delay	throughput	[71752.195op/s; 71768.070op/s] or [-0.011%; +0.011%]	None	None	None
trace_buffer/4_senders/no_delay	execution_time	[2.344ms; 2.369ms] or [-0.516%; +0.516%]	None	None	None
trace_buffer/4_senders/no_delay	throughput	[1521940.659op/s; 1537786.267op/s] or [-0.518%; +0.518%]	None	None	None
trace_buffer/8_senders/10us_delay	execution_time	[57.874ms; 57.928ms] or [-0.046%; +0.046%]	None	None	None
trace_buffer/8_senders/10us_delay	throughput	[124294.325op/s; 124408.350op/s] or [-0.046%; +0.046%]	None	None	None
trace_buffer/8_senders/1us_delay	execution_time	[50.286ms; 50.301ms] or [-0.015%; +0.015%]	None	None	None
trace_buffer/8_senders/1us_delay	throughput	[143138.466op/s; 143182.013op/s] or [-0.015%; +0.015%]	None	None	None
trace_buffer/8_senders/no_delay	execution_time	[6.501ms; 6.532ms] or [-0.236%; +0.236%]	None	None	None
trace_buffer/8_senders/no_delay	throughput	[1102558.363op/s; 1107810.806op/s] or [-0.238%; +0.238%]	None	None	None

Group 1

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`6ade2ad`	1785245439	oscarld/stats-string-length-limits

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	1.062µs	1.080µs ± 0.007µs	1.080µs ± 0.004µs	1.084µs	1.087µs	1.088µs	1.130µs	4.66%	1.760	15.820	0.61%	0.000µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[1.079µs; 1.081µs] or [-0.084%; +0.084%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`6ade2ad`	1785245439	oscarld/stats-string-length-limits

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	8.610ms	8.645ms ± 0.018ms	8.641ms ± 0.010ms	8.656ms	8.679ms	8.690ms	8.699ms	0.67%	0.565	0.051	0.21%	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	[8.643ms; 8.648ms] or [-0.029%; +0.029%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`6ade2ad`	1785245439	oscarld/stats-string-length-limits

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	14.689µs	15.676µs ± 0.221µs	15.657µs ± 0.108µs	15.765µs	15.983µs	16.209µs	17.187µs	9.77%	1.502	11.835	1.41%	0.016µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[15.645µs; 15.706µs] or [-0.196%; +0.196%]	None	None	None

Baseline

Baseline benchmark details

Group 1

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`95610de`	1785233641	main

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
trace_buffer/1_senders/10us_delay	execution_time	56.317ms	56.514ms ± 0.126ms	56.487ms ± 0.074ms	56.586ms	56.712ms	56.934ms	57.084ms	1.06%	1.362	3.353	0.22%	0.009ms	1	200
trace_buffer/1_senders/10us_delay	throughput	15766.350op/s	15925.323op/s ± 35.487op/s	15932.899op/s ± 20.906op/s	15952.605op/s	15972.471op/s	15975.853op/s	15980.986op/s	0.30%	-1.339	3.243	0.22%	2.509op/s	1	200
trace_buffer/1_senders/1us_delay	execution_time	50.005ms	50.084ms ± 0.031ms	50.082ms ± 0.011ms	50.091ms	50.140ms	50.184ms	50.239ms	0.31%	1.310	4.240	0.06%	0.002ms	1	200
trace_buffer/1_senders/1us_delay	throughput	17914.280op/s	17969.803op/s ± 11.046op/s	17970.664op/s ± 3.802op/s	17974.626op/s	17986.263op/s	17991.461op/s	17998.050op/s	0.15%	-1.302	4.207	0.06%	0.781op/s	1	200
trace_buffer/1_senders/no_delay	execution_time	333.629µs	343.930µs ± 5.422µs	343.328µs ± 2.040µs	345.490µs	349.480µs	361.361µs	400.253µs	16.58%	5.996	57.358	1.57%	0.383µs	1	200
trace_buffer/1_senders/no_delay	throughput	2248575.758op/s	2617405.400op/s ± 37989.329op/s	2621399.945op/s ± 15603.563op/s	2635848.419op/s	2654102.153op/s	2668250.100op/s	2697604.113op/s	2.91%	-4.995	43.753	1.45%	2686.251op/s	1	200
trace_buffer/2_senders/10us_delay	execution_time	56.632ms	57.137ms ± 0.215ms	57.109ms ± 0.135ms	57.266ms	57.506ms	57.659ms	57.919ms	1.42%	0.501	0.291	0.38%	0.015ms	1	200
trace_buffer/2_senders/10us_delay	throughput	31077.861op/s	31503.426op/s ± 118.325op/s	31518.503op/s ± 74.484op/s	31571.512op/s	31676.904op/s	31726.860op/s	31784.296op/s	0.84%	-0.478	0.253	0.37%	8.367op/s	1	200
trace_buffer/2_senders/1us_delay	execution_time	50.052ms	50.115ms ± 0.035ms	50.110ms ± 0.017ms	50.125ms	50.194ms	50.213ms	50.243ms	0.27%	1.190	1.200	0.07%	0.002ms	1	200
trace_buffer/2_senders/1us_delay	throughput	35825.779op/s	35917.211op/s ± 25.111op/s	35920.882op/s ± 11.836op/s	35934.562op/s	35945.809op/s	35953.051op/s	35962.381op/s	0.12%	-1.186	1.190	0.07%	1.776op/s	1	200
trace_buffer/2_senders/no_delay	execution_time	874.050µs	927.107µs ± 14.403µs	927.050µs ± 8.478µs	936.027µs	947.626µs	963.978µs	967.232µs	4.33%	-0.387	1.433	1.55%	1.018µs	1	200
trace_buffer/2_senders/no_delay	throughput	1860979.864op/s	1941992.697op/s ± 30388.687op/s	1941642.454op/s ± 17919.742op/s	1959365.428op/s	1989669.985op/s	2031760.283op/s	2059377.969op/s	6.06%	0.544	1.731	1.56%	2148.805op/s	1	200
trace_buffer/4_senders/10us_delay	execution_time	57.076ms	57.458ms ± 0.113ms	57.455ms ± 0.081ms	57.539ms	57.639ms	57.695ms	57.797ms	0.60%	-0.097	0.189	0.20%	0.008ms	1	200
trace_buffer/4_senders/10us_delay	throughput	62286.970op/s	62655.195op/s ± 122.821op/s	62657.966op/s ± 87.810op/s	62743.527op/s	62829.530op/s	62941.234op/s	63073.875op/s	0.66%	0.110	0.196	0.20%	8.685op/s	1	200
trace_buffer/4_senders/1us_delay	execution_time	50.058ms	50.170ms ± 0.034ms	50.162ms ± 0.018ms	50.184ms	50.235ms	50.279ms	50.306ms	0.29%	1.004	1.847	0.07%	0.002ms	1	200
trace_buffer/4_senders/1us_delay	throughput	71562.655op/s	71756.444op/s ± 49.119op/s	71767.719op/s ± 25.245op/s	71787.569op/s	71813.958op/s	71830.132op/s	71916.776op/s	0.21%	-0.998	1.838	0.07%	3.473op/s	1	200
trace_buffer/4_senders/no_delay	execution_time	2.158ms	2.365ms ± 0.081ms	2.371ms ± 0.059ms	2.428ms	2.484ms	2.530ms	2.547ms	7.43%	-0.269	-0.436	3.42%	0.006ms	1	200
trace_buffer/4_senders/no_delay	throughput	1413330.801op/s	1523960.733op/s ± 52872.074op/s	1518379.366op/s ± 37320.077op/s	1557701.349op/s	1615921.765op/s	1657602.265op/s	1668367.861op/s	9.88%	0.424	-0.305	3.46%	3738.620op/s	1	200
trace_buffer/8_senders/10us_delay	execution_time	57.543ms	57.820ms ± 0.181ms	57.757ms ± 0.092ms	57.918ms	58.219ms	58.301ms	58.329ms	0.99%	1.006	0.177	0.31%	0.013ms	1	200
trace_buffer/8_senders/10us_delay	throughput	123438.583op/s	124525.964op/s ± 388.398op/s	124660.675op/s ± 198.493op/s	124802.389op/s	124951.334op/s	125087.028op/s	125124.788op/s	0.37%	-0.996	0.152	0.31%	27.464op/s	1	200
trace_buffer/8_senders/1us_delay	execution_time	50.207ms	50.306ms ± 0.075ms	50.283ms ± 0.031ms	50.334ms	50.444ms	50.520ms	50.841ms	1.11%	2.615	12.460	0.15%	0.005ms	1	200
trace_buffer/8_senders/1us_delay	throughput	141618.501op/s	143123.707op/s ± 213.061op/s	143188.199op/s ± 89.096op/s	143249.941op/s	143339.186op/s	143375.952op/s	143405.390op/s	0.15%	-2.581	12.138	0.15%	15.066op/s	1	200
trace_buffer/8_senders/no_delay	execution_time	6.026ms	6.387ms ± 0.095ms	6.408ms ± 0.050ms	6.450ms	6.503ms	6.552ms	6.627ms	3.42%	-1.148	1.962	1.48%	0.007ms	1	200
trace_buffer/8_senders/no_delay	throughput	1086469.054op/s	1127519.051op/s ± 17065.884op/s	1123620.488op/s ± 8655.808op/s	1135006.393op/s	1163429.567op/s	1185643.119op/s	1194918.278op/s	6.35%	1.268	2.310	1.51%	1206.740op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
trace_buffer/1_senders/10us_delay	execution_time	[56.497ms; 56.532ms] or [-0.031%; +0.031%]	None	None	None
trace_buffer/1_senders/10us_delay	throughput	[15920.404op/s; 15930.241op/s] or [-0.031%; +0.031%]	None	None	None
trace_buffer/1_senders/1us_delay	execution_time	[50.080ms; 50.088ms] or [-0.009%; +0.009%]	None	None	None
trace_buffer/1_senders/1us_delay	throughput	[17968.272op/s; 17971.334op/s] or [-0.009%; +0.009%]	None	None	None
trace_buffer/1_senders/no_delay	execution_time	[343.179µs; 344.682µs] or [-0.218%; +0.218%]	None	None	None
trace_buffer/1_senders/no_delay	throughput	[2612140.444op/s; 2622670.355op/s] or [-0.201%; +0.201%]	None	None	None
trace_buffer/2_senders/10us_delay	execution_time	[57.108ms; 57.167ms] or [-0.052%; +0.052%]	None	None	None
trace_buffer/2_senders/10us_delay	throughput	[31487.027op/s; 31519.825op/s] or [-0.052%; +0.052%]	None	None	None
trace_buffer/2_senders/1us_delay	execution_time	[50.110ms; 50.120ms] or [-0.010%; +0.010%]	None	None	None
trace_buffer/2_senders/1us_delay	throughput	[35913.730op/s; 35920.691op/s] or [-0.010%; +0.010%]	None	None	None
trace_buffer/2_senders/no_delay	execution_time	[925.111µs; 929.103µs] or [-0.215%; +0.215%]	None	None	None
trace_buffer/2_senders/no_delay	throughput	[1937781.117op/s; 1946204.276op/s] or [-0.217%; +0.217%]	None	None	None
trace_buffer/4_senders/10us_delay	execution_time	[57.442ms; 57.473ms] or [-0.027%; +0.027%]	None	None	None
trace_buffer/4_senders/10us_delay	throughput	[62638.173op/s; 62672.217op/s] or [-0.027%; +0.027%]	None	None	None
trace_buffer/4_senders/1us_delay	execution_time	[50.165ms; 50.174ms] or [-0.009%; +0.009%]	None	None	None
trace_buffer/4_senders/1us_delay	throughput	[71749.636op/s; 71763.251op/s] or [-0.009%; +0.009%]	None	None	None
trace_buffer/4_senders/no_delay	execution_time	[2.354ms; 2.376ms] or [-0.475%; +0.475%]	None	None	None
trace_buffer/4_senders/no_delay	throughput	[1516633.172op/s; 1531288.294op/s] or [-0.481%; +0.481%]	None	None	None
trace_buffer/8_senders/10us_delay	execution_time	[57.795ms; 57.845ms] or [-0.043%; +0.043%]	None	None	None
trace_buffer/8_senders/10us_delay	throughput	[124472.136op/s; 124579.792op/s] or [-0.043%; +0.043%]	None	None	None
trace_buffer/8_senders/1us_delay	execution_time	[50.296ms; 50.317ms] or [-0.021%; +0.021%]	None	None	None
trace_buffer/8_senders/1us_delay	throughput	[143094.179op/s; 143153.235op/s] or [-0.021%; +0.021%]	None	None	None
trace_buffer/8_senders/no_delay	execution_time	[6.374ms; 6.400ms] or [-0.206%; +0.206%]	None	None	None
trace_buffer/8_senders/no_delay	throughput	[1125153.883op/s; 1129884.218op/s] or [-0.210%; +0.210%]	None	None	None

Group 1

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`79eff2f`	1785245631	main

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	1.078µs	1.093µs ± 0.005µs	1.094µs ± 0.003µs	1.096µs	1.100µs	1.102µs	1.103µs	0.82%	-0.552	-0.289	0.47%	0.000µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[1.092µs; 1.093µs] or [-0.065%; +0.065%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`79eff2f`	1785245631	main

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	8.590ms	8.619ms ± 0.018ms	8.614ms ± 0.011ms	8.630ms	8.655ms	8.675ms	8.681ms	0.78%	1.006	0.671	0.21%	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	[8.617ms; 8.622ms] or [-0.029%; +0.029%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`79eff2f`	1785245631	main

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	15.675µs	16.062µs ± 0.471µs	16.003µs ± 0.106µs	16.118µs	16.381µs	16.734µs	21.956µs	37.20%	10.051	121.060	2.93%	0.033µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[15.997µs; 16.128µs] or [-0.407%; +0.407%]	None	None	None

yannham · 2026-07-24T09:13:33Z

    /// List of feature flags
-    pub feature_flags: Option<Vec<String>>,
+    #[serde(default)]
+    pub feature_flags: Vec<String>,


Is this related to the PR? Also, endpoints above is still an Option<Vec<String>>. Is that ok?

This is a pattern I used before previously for tags filter:
When we don't need to differentiate between a missing field or its default value, we might as well put

#[serde(default)]

to avoid an extra .is_some_and/.unwrap_or_default when reading it.

Here for example, if the agent doesn't send its feature_flags, it's the same as if there was no feature flags enabled.

As for endpoints, it could also be refactored to have it but it would be unrelated to this PR.

yannham · 2026-07-24T09:23:35Z

+        #[cfg(feature = "stats-obfuscation")]
+        let mut agg_key = agg_key;
+        #[cfg(feature = "stats-obfuscation")]
+        if target_bucket.obfuscated {
+            agg_key.truncate(self.big_resource);
+        }


Suggested change

#[cfg(feature = "stats-obfuscation")]

let mut agg_key = agg_key;

#[cfg(feature = "stats-obfuscation")]

if target_bucket.obfuscated {

agg_key.truncate(self.big_resource);

}

#[cfg(feature = "stats-obfuscation")]

{

let mut agg_key = agg_key;

if target_bucket.obfuscated {

agg_key.truncate(self.big_resource);

}

}

This doesn't works because agg_key then becomes shadowed in the block, so the outer one is not actually truncated when used just below in target_bucket.insert

Co-authored-by: Yann Hamdaoui <yann.hamdaoui@gmail.com>

) # Release proposal for libdd-data-pipeline, libdd-telemetry and their dependencies This PR contains version bumps based on public API changes and commits since last release. ## libdd-ddsketch **Next version:** `1.1.1` **Semver bump:** `patch` **Tag:** `libdd-ddsketch-v1.1.1` ### Commits - refactor: migrate to workspace dependencies, phase 4 (#2296) - chore: moving to workspace-level dependencies, phase 2 (#2270) ## libdd-shared-runtime **Next version:** `3.0.0` **Semver bump:** `major` **Tag:** `libdd-shared-runtime-v3.0.0` ### ⚠️ major bump forced due to: - `libdd-capabilities`: ^2.1.0 → ^3.0.0 - `libdd-capabilities-impl`: ^3.0.0 → ^4.0.0 ### Commits - feat(shared-runtime): add block_on_with_timeout to BlockingRuntime (#2333) - chore(runtime): restart all workers on invalid state (#2262) - refactor: migrate to workspace dependencies, phase 3 (#2283) - refactor: consolidate core dependencies at workspace level (phase 1) (#2253) ## libdd-dogstatsd-client **Next version:** `5.0.0` **Semver bump:** `major` **Tag:** `libdd-dogstatsd-client-v5.0.0` ### Commits - refactor: consolidate core dependencies at workspace level (phase 1) (#2253) - feat(dogstatsd)!: add shared_runtime buffered sink (#2224) - refactor(statsd)!: make client clonable (#2222) ## libdd-telemetry **Next version:** `7.0.0` **Semver bump:** `major` **Tag:** `libdd-telemetry-v7.0.0` ### Commits - refactor(rc)!: make conversion from RemoteConfigProduct back and forth generally available (#2325) - feat(telemetry)!: Add Installation signature and AppProduct changes payloads (#2213) - fix(telemetry)!: stop sending Connection: close to the Agent (#2286) - refactor: migrate to workspace dependencies, phase 3 (#2283) - chore: moving to workspace-level dependencies, phase 2 (#2270) - refactor: consolidate core dependencies at workspace level (phase 1) (#2253) - fix: drain the mailbox before stopping (#2258) - feat(telemetry)!: make telemetry worker wasm-compatible for the TraceExporter (#2172) - fix(sidecar): don't double-encode file:// telemetry endpoints (#2230) ## libdd-trace-obfuscation **Next version:** `6.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-obfuscation-v6.0.0` ### ⚠️ major bump forced due to: - `libdd-trace-utils`: ^9.0.0 → ^10.1.0 ### Commits - refactor: migrate to workspace dependencies, phase 4 (#2296) - chore(lint): update nightly (#2281) - chore: moving to workspace-level dependencies, phase 2 (#2270) - refactor: consolidate core dependencies at workspace level (phase 1) (#2253) - fix: new clippy lints (#2219) ## libdd-trace-stats **Next version:** `7.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-stats-v7.0.0` ### ⚠️ major bump forced due to: - `libdd-capabilities`: ^2.1.0 → ^3.0.0 - `libdd-capabilities-impl`: ^3.0.0 → ^4.0.0 - `libdd-dogstatsd-client`: ^4.0.0 → ^5.0.0 - `libdd-telemetry`: ^6.0.0 → ^7.0.0 - `libdd-trace-utils`: ^9.0.0 → ^10.1.0 ### Commits - feat: add v1 isolated bricks for trace exporter (#2280) - refactor: migrate to workspace dependencies, phase 4 (#2296) - feat(data-pipeline)!: add compression option for agentless export (#2205) - feat(stats)!: per-field cardinality limits (#2211) - refactor: migrate to workspace dependencies, phase 3 (#2283) - feat(stats)!: string field length limit (#2267) - feat(trace_exporter)!: add `restart_after_fork` configuration option [APMSP-3843] (#2263) - refactor: consolidate core dependencies at workspace level (phase 1) (#2253) - feat(stats)!: implement additional metric tags in libdd-trace-stats (#2170) - refactor(statsd)!: make client clonable (#2222) - fix(stats-exporter): disable retries for stats payload sends (#2249) - feat(telemetry)!: make telemetry worker wasm-compatible for the TraceExporter (#2172) - fix!: css obfuscation logic (#2203) ## libdd-data-pipeline **Next version:** `8.0.0` **Semver bump:** `major` **Tag:** `libdd-data-pipeline-v8.0.0` ### ⚠️ major bump forced due to: - `libdd-capabilities`: ^2.1.0 → ^3.0.0 - `libdd-capabilities-impl`: ^3.0.0 → ^4.0.0 - `libdd-dogstatsd-client`: ^4.0.0 → ^5.0.0 - `libdd-telemetry`: ^6.0.0 → ^7.0.0 - `libdd-trace-stats`: ^6.0.0 → ^7.0.0 - `libdd-trace-utils`: ^9.0.0 → ^10.1.0 ### Commits - fix(trace-exporter): mark OTLP client-computed stats (#2245) - feat(data-pipeline): adds new attributes to OTLP trace metrics export (#2316) - feat: add v1 isolated bricks for trace exporter (#2280) - feat(data-pipeline)!: add flush_and_close to the trace buffer (#2313) - feat(telemetry)!: Add Installation signature and AppProduct changes payloads (#2213) - refactor: migrate to workspace dependencies, phase 4 (#2296) - feat(data-pipeline)!: add compression option for agentless export (#2205) - fix(telemetry)!: stop sending Connection: close to the Agent (#2286) - feat(stats)!: per-field cardinality limits (#2211) - refactor: migrate to workspace dependencies, phase 3 (#2283) - feat(stats)!: string field length limit (#2267) - refactor(trace-utils)!: split generic TracerHeaderTags (#2279) - chore: moving to workspace-level dependencies, phase 2 (#2270) - feat(trace_exporter)!: add `restart_after_fork` configuration option [APMSP-3843] (#2263) - feat(data-pipeline): emit additional_metric_tags on OTLP span duration metric (#2264) - refactor: consolidate core dependencies at workspace level (phase 1) (#2253) - feat(dogstatsd)!: add shared_runtime buffered sink (#2224) - feat(stats)!: implement additional metric tags in libdd-trace-stats (#2170) - refactor(statsd)!: make client clonable (#2222) - feat(telemetry)!: make telemetry worker wasm-compatible for the TraceExporter (#2172) - feat(trace_exporter)!: remove deprecated methods (#2250) - feat(trace-utils)!: add v1 decoder (#2174) - feat(trace-utils)!: add encoder v1 to v04 + refactor (#2145) - feat(otlp): add instrumentation scope metadata (#2235) - fix(trace-utils)!: serialize v0.5 span links and events into meta (#980) - fix!: css obfuscation logic (#2203) - test(data-pipeline): gate telemetry-only tests behind the telemetry feature (#2204) [APMSP-3843]: https://datadoghq.atlassian.net/browse/APMSP-3843?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: hoolioh <107922352+hoolioh@users.noreply.github.com>

Eldolfin added 3 commits July 23, 2026 10:35

feat: pass big_resource from /info to span_concentrator

8483887

feat: truncate string fields

4ad7093

feat: add test for string truncation

916d4fc

github-actions Bot added the data-pipeline label Jul 23, 2026

test: add case without obfuscation

73f237b

lint: fix clippy without stats-obfuscation

70b148e

chatgpt-codex-connector Bot reviewed Jul 23, 2026

View reviewed changes

Comment thread libdd-trace-stats/src/span_concentrator/mod.rs

Comment thread libdd-data-pipeline/src/trace_exporter/stats.rs Outdated

Comment thread libdd-trace-stats/src/span_concentrator/mod.rs

fix: apply big_resource when stats are first enabled

d5467cd

Eldolfin marked this pull request as ready for review July 23, 2026 10:14

Eldolfin requested review from a team as code owners July 23, 2026 10:14

Eldolfin requested a review from VianneyRuhlmann July 23, 2026 10:14

doc: document truncate()

4a2eefe

chatgpt-codex-connector Bot reviewed Jul 23, 2026

View reviewed changes

Comment thread libdd-trace-stats/src/span_concentrator/mod.rs

yannham reviewed Jul 24, 2026

View reviewed changes

Eldolfin and others added 2 commits July 28, 2026 13:41

Update libdd-trace-stats/src/span_concentrator/aggregation.rs

fa00935

Co-authored-by: Yann Hamdaoui <yann.hamdaoui@gmail.com>

refacto: make is_big_resource_enabled a method of AgentInfo

b86fed5

VianneyRuhlmann approved these changes Jul 28, 2026

View reviewed changes

Comment thread libdd-trace-stats/src/span_concentrator/tests.rs Outdated

refacto(test): remove duplicate_item use

6ade2ad

gh-worker-dd-devflow-36fce6 Bot added mergequeue-status: queued mergequeue-status: in_progress mergequeue-status: rejected and removed mergequeue-status: queued mergequeue-status: in_progress mergequeue-status: rejected labels Jul 28, 2026

gh-worker-dd-devflow-36fce6 Bot added mergequeue-status: queued mergequeue-status: in_progress and removed mergequeue-status: queued labels Jul 29, 2026

gh-worker-dd-mergequeue-cf854d Bot merged commit 42045b9 into main Jul 29, 2026
154 checks passed

gh-worker-dd-devflow-36fce6 Bot removed the mergequeue-status: in_progress label Jul 29, 2026

gh-worker-dd-mergequeue-cf854d Bot deleted the oscarld/stats-string-length-limits branch July 29, 2026 12:38

gh-worker-dd-devflow-36fce6 Bot added the mergequeue-status: done label Jul 29, 2026

dd-octo-sts Bot mentioned this pull request Aug 17, 2026

chore(release): proposal for libdd-data-pipeline, libdd-telemetry #2358

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Eldolfin commented Jul 23, 2026

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datadog-official Bot commented Jul 23, 2026 •

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