feat(ffe): support arbitrary semver core parts by greghuels · Pull Request #2413 · DataDog/libdatadog

greghuels · 2026-08-25T15:17:45Z

Summary

pin canonical FFE fixtures to 2c0c8d55f665fe4a847fc0ded3abf59b7e2896fc
accept and compare SemVer core versions with any positive number of numeric dot-separated parts
preserve abbreviated version normalization and SemVer prerelease/build precedence

Testing

cargo test -p libdd-ffe semver --lib
cargo nextest run -p libdd-ffe-test-suite
cargo check -p libdd-ffe
cargo +stable clippy -p libdd-ffe --all-targets -- -D warnings
cargo +nightly-2026-07-26 fmt --all -- --check

datadog-official · 2026-08-25T15:28:28Z

🎉 All green!

🧪 All tests passed
❄️ No new flaky tests detected

🎯 Code Coverage (details)
• Patch Coverage: 97.26%
• Overall Coverage: 76.73% (+0.04%)

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

🔗 Commit SHA: 6e2f2b5 | Docs | View more details | Give us feedback!}

pr-commenter · 2026-08-25T15:29:56Z

Benchmarks

Comparison

Benchmark execution time: 2026-08-25 17:27:50

Comparing candidate commit 6e2f2b5 in PR branch greg.huels/FFL-3092/extended-semver-2 with baseline commit 1766e7e in branch main.

Found 0 performance improvements and 1 performance regressions! Performance is the same for 13 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:sdk_test_data/rules-based

🟥 execution_time [+116.893µs; +120.756µs] or [+80.007%; +82.651%]

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	`6e2f2b5`	1787677929	greg.huels/FFL-3092/extended-semver-2

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	execution_time	21.877ms	21.965ms ± 0.027ms	21.965ms ± 0.017ms	21.983ms	22.012ms	22.020ms	22.035ms	0.32%	-0.201	0.278	0.12%	0.002ms	1	200
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	113456.514op/s	113817.968op/s ± 141.665op/s	113818.531op/s ± 90.572op/s	113905.057op/s	114040.322op/s	114199.868op/s	114272.783op/s	0.40%	0.209	0.286	0.12%	10.017op/s	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	105.027ms	105.363ms ± 0.307ms	105.285ms ± 0.033ms	105.322ms	105.907ms	106.151ms	108.645ms	3.19%	6.803	64.258	0.29%	0.022ms	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	9204.289op/s	9491.055op/s ± 27.150op/s	9497.992op/s ± 2.935op/s	9500.618op/s	9503.392op/s	9506.640op/s	9521.323op/s	0.25%	-6.632	61.507	0.29%	1.920op/s	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	602.265µs	603.058µs ± 0.338µs	603.035µs ± 0.212µs	603.254µs	603.540µs	603.973µs	604.390µs	0.22%	0.502	1.237	0.06%	0.024µs	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	165456.066op/s	165821.593op/s ± 92.886op/s	165827.733op/s ± 58.294op/s	165881.571op/s	165954.259op/s	166035.261op/s	166039.846op/s	0.13%	-0.497	1.227	0.06%	6.568op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	execution_time	[21.961ms; 21.969ms] or [-0.017%; +0.017%]	None	None	None
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	[113798.334op/s; 113837.601op/s] or [-0.017%; +0.017%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	[105.321ms; 105.406ms] or [-0.040%; +0.040%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	[9487.292op/s; 9494.818op/s] or [-0.040%; +0.040%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	[603.011µs; 603.105µs] or [-0.008%; +0.008%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	[165808.720op/s; 165834.466op/s] or [-0.008%; +0.008%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`6e2f2b5`	1787677929	greg.huels/FFL-3092/extended-semver-2

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	259.202µs	264.929µs ± 12.707µs	262.001µs ± 1.163µs	263.824µs	276.346µs	310.946µs	403.373µs	53.96%	7.794	73.995	4.78%	0.898µs	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	[263.168µs; 266.690µs] or [-0.665%; +0.665%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`6e2f2b5`	1787677929	greg.huels/FFL-3092/extended-semver-2

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	156.077ns	159.255ns ± 2.555ns	158.927ns ± 1.438ns	160.283ns	163.267ns	168.708ns	172.058ns	8.26%	1.576	4.186	1.60%	0.181ns	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	[158.901ns; 159.610ns] or [-0.222%; +0.222%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`6e2f2b5`	1787677929	greg.huels/FFL-3092/extended-semver-2

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	execution_time	5.297ms	5.313ms ± 0.018ms	5.312ms ± 0.004ms	5.317ms	5.323ms	5.327ms	5.554ms	4.55%	11.404	147.318	0.34%	0.001ms	1	200
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	450166.116op/s	470531.649op/s ± 1559.832op/s	470666.421op/s ± 388.817op/s	470971.773op/s	471549.710op/s	471887.691op/s	471935.907op/s	0.27%	-11.203	143.830	0.33%	110.297op/s	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	7.922ms	7.935ms ± 0.007ms	7.934ms ± 0.003ms	7.938ms	7.946ms	7.964ms	7.971ms	0.46%	2.011	6.715	0.09%	0.001ms	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	125462.539op/s	126026.653op/s ± 114.859op/s	126041.129op/s ± 53.910op/s	126091.805op/s	126166.856op/s	126205.526op/s	126235.026op/s	0.15%	-1.999	6.649	0.09%	8.122op/s	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	178.044µs	180.622µs ± 0.641µs	180.508µs ± 0.315µs	180.923µs	181.738µs	182.215µs	182.571µs	1.14%	-0.227	3.131	0.35%	0.045µs	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	547732.115op/s	553649.415op/s ± 1967.045op/s	553993.255op/s ± 968.264op/s	554819.800op/s	555395.749op/s	561567.583op/s	561658.127op/s	1.38%	0.281	3.277	0.35%	139.091op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	execution_time	[5.311ms; 5.316ms] or [-0.048%; +0.048%]	None	None	None
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	[470315.471op/s; 470747.827op/s] or [-0.046%; +0.046%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	[7.934ms; 7.936ms] or [-0.013%; +0.013%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	[126010.734op/s; 126042.571op/s] or [-0.013%; +0.013%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	[180.533µs; 180.711µs] or [-0.049%; +0.049%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	[553376.802op/s; 553922.029op/s] or [-0.049%; +0.049%]	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	`1766e7e`	1787678449	main

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	execution_time	21.919ms	21.994ms ± 0.032ms	21.992ms ± 0.021ms	22.013ms	22.053ms	22.069ms	22.083ms	0.41%	0.367	-0.192	0.14%	0.002ms	1	200
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	113209.599op/s	113665.514op/s ± 164.763op/s	113677.542op/s ± 107.482op/s	113774.936op/s	113907.564op/s	113996.865op/s	114058.838op/s	0.34%	-0.360	-0.197	0.14%	11.650op/s	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	102.606ms	103.827ms ± 0.393ms	103.888ms ± 0.159ms	104.040ms	104.150ms	104.429ms	107.061ms	3.05%	2.210	21.824	0.38%	0.028ms	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	9340.501op/s	9631.516op/s ± 36.202op/s	9625.716op/s ± 14.730op/s	9642.889op/s	9689.442op/s	9713.261op/s	9746.029op/s	1.25%	-2.001	19.951	0.37%	2.560op/s	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	598.676µs	599.845µs ± 0.650µs	599.757µs ± 0.449µs	600.299µs	600.858µs	601.240µs	603.738µs	0.66%	1.419	5.360	0.11%	0.046µs	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	165634.775op/s	166709.797op/s ± 180.283op/s	166734.269op/s ± 124.683op/s	166837.443op/s	166940.185op/s	166969.452op/s	167035.387op/s	0.18%	-1.401	5.239	0.11%	12.748op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	execution_time	[21.990ms; 21.999ms] or [-0.020%; +0.020%]	None	None	None
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	[113642.680op/s; 113688.349op/s] or [-0.020%; +0.020%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	[103.773ms; 103.882ms] or [-0.053%; +0.053%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	[9626.499op/s; 9636.533op/s] or [-0.052%; +0.052%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	[599.755µs; 599.936µs] or [-0.015%; +0.015%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	[166684.812op/s; 166734.782op/s] or [-0.015%; +0.015%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1766e7e`	1787678449	main

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	142.557µs	146.104µs ± 5.724µs	144.931µs ± 0.770µs	145.772µs	151.245µs	167.059µs	206.507µs	42.49%	7.339	66.306	3.91%	0.405µs	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	[145.311µs; 146.897µs] or [-0.543%; +0.543%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1766e7e`	1787678449	main

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	156.497ns	160.182ns ± 2.825ns	159.433ns ± 1.288ns	161.052ns	165.496ns	168.803ns	174.042ns	9.16%	1.614	3.341	1.76%	0.200ns	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	[159.791ns; 160.574ns] or [-0.244%; +0.244%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1766e7e`	1787678449	main

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	execution_time	5.311ms	5.325ms ± 0.008ms	5.325ms ± 0.004ms	5.329ms	5.337ms	5.343ms	5.374ms	0.91%	1.465	7.362	0.14%	0.001ms	1	200
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	465229.817op/s	469466.023op/s ± 665.041op/s	469460.404op/s ± 386.518op/s	469896.901op/s	470388.581op/s	470599.828op/s	470683.657op/s	0.26%	-1.434	7.140	0.14%	47.025op/s	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	7.907ms	7.921ms ± 0.007ms	7.920ms ± 0.004ms	7.925ms	7.931ms	7.945ms	7.963ms	0.54%	2.026	9.181	0.09%	0.000ms	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	125580.091op/s	126241.150op/s ± 108.408op/s	126257.743op/s ± 56.632op/s	126310.176op/s	126380.029op/s	126446.129op/s	126470.499op/s	0.17%	-2.008	9.062	0.09%	7.666op/s	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	178.876µs	180.707µs ± 0.761µs	180.540µs ± 0.208µs	180.816µs	181.686µs	182.377µs	188.382µs	4.34%	5.449	50.513	0.42%	0.054µs	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	530837.688op/s	553391.428op/s ± 2279.835op/s	553894.053op/s ± 636.813op/s	554483.319op/s	555069.951op/s	555575.560op/s	559047.011op/s	0.93%	-5.170	46.769	0.41%	161.209op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	execution_time	[5.324ms; 5.326ms] or [-0.020%; +0.020%]	None	None	None
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	[469373.854op/s; 469558.191op/s] or [-0.020%; +0.020%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	[7.920ms; 7.922ms] or [-0.012%; +0.012%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	[126226.125op/s; 126256.174op/s] or [-0.012%; +0.012%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	[180.602µs; 180.813µs] or [-0.058%; +0.058%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	[553075.465op/s; 553707.391op/s] or [-0.057%; +0.057%]	None	None	None

dd-octo-sts · 2026-08-25T16:20:05Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.26 MB	8.26 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	89.59 MB	89.63 MB	+.04% (+37.71 KB) 🔍

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	100.77 MB	100.80 MB	+.03% (+36.79 KB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.07 MB	11.07 MB	+0% (+424 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	26.65 MB	26.68 MB	+.09% (+26.50 KB) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	94.96 KB	94.96 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	180.94 MB	181.12 MB	+.10% (+192.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	773.55 MB	773.75 MB	+.02% (+203.24 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	8.74 MB	8.75 MB	+.03% (+3.00 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	94.96 KB	94.96 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	25.68 MB	25.69 MB	+.06% (+16.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	51.15 MB	51.17 MB	+.03% (+17.03 KB) 🔍

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	23.23 MB	23.25 MB	+.08% (+20.00 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	96.45 KB	96.45 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	185.84 MB	186.05 MB	+.11% (+216.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	760.32 MB	760.72 MB	+.05% (+408.35 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	6.75 MB	6.76 MB	+.04% (+3.00 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	96.45 KB	96.45 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	27.62 MB	27.62 MB	+.02% (+8.00 KB) 🔍
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	48.67 MB	48.69 MB	+.03% (+16.09 KB) 🔍

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	79.87 MB	79.91 MB	+.04% (+34.56 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	9.17 MB	9.17 MB	+.04% (+4.00 KB) 🔍

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	95.51 MB	95.55 MB	+.03% (+38.04 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.19 MB	11.19 MB	+0% (+568 B) 👌

…xtended-semver-2

…ker, libdd-data-pipeline, li... (#2482) # Release proposal for libdd-capabilities-impl, libdd-crashtracker, libdd-data-pipeline, libdd-ddsketch, libdd-ffe, libdd-http-client, libdd-ipc, libdd-library-config, libdd-live-debugger, libdd-otel-thread-ctx, libdd-remote-config, libdd-shared-runtime, libdd-telemetry, libdd-trace-utils, libdd-tracer-flare and their dependencies This PR contains version bumps based on public API changes and commits since last release. ### ⚠️ Crates left out of this proposal affected by its major bumps These publishable workspace crates are not part of this release but their dependency requirement was rewritten on this branch while their published version still requires the old major. If they are a dependency on your deployment not including them in the release could result in duplicate packages or symbol incompatibility. - `libdd-common` `5.2.0` → `6.0.0` affects: `libdd-profiling`, `libdd-sampling` - `libdd-trace-utils` `11.0.0` → `12.0.0` affects: `libdd-sampling` ## libdd-capabilities **Next version:** `3.0.1` **Semver bump:** `patch` **Tag:** `libdd-capabilities-v3.0.1` ### Commits - refactor: migrate HTTP & networking deps to workspace level (phase 4bis) (#2350) - feat: do not entirely disable connection pooling for periodic connections (#2440) ## libdd-common **Next version:** `6.0.0` **Semver bump:** `major` **Tag:** `libdd-common-v6.0.0` ### Commits - refactor: migrate HTTP & networking deps to workspace level (phase 4bis) (#2350) - feat: do not entirely disable connection pooling for periodic connections (#2440) - feat(data-pipeline)!: add agentless stats export (#2309) - feat(data-pipeline): add runtime-independent agentless sending (#2389) - feat(common)!: add HTTPS_PROXY support for hyper_backend (#2421) ## libdd-ipc-macros **Next version:** `1.0.1` **Semver bump:** `patch` **Tag:** `libdd-ipc-macros-v1.0.1` ### Commits - feat(sidecar)!: support appsec helper-rust integration with sidecar (#2310) ## libdd-otel-thread-ctx **Next version:** `1.1.0` **Semver bump:** `minor` **Tag:** `libdd-otel-thread-ctx-v1.1.0` ### Commits - feat(otel-thread-ctx): add update-and-attach operation (#2443) ## libdd-tinybytes **Next version:** `1.1.3` **Semver bump:** `patch` **Tag:** `libdd-tinybytes-v1.1.3` ### Commits - refactor: migrate HTTP & networking deps to workspace level (phase 4bis) (#2350) ## libdd-capabilities-impl **Next version:** `5.0.0` **Semver bump:** `major` **Tag:** `libdd-capabilities-impl-v5.0.0` ### ⚠️ major bump forced due to: - `libdd-common`: ^5.1.1 → ^6.0.0 ### Commits - refactor: migrate HTTP & networking deps to workspace level (phase 4bis) (#2350) - feat: do not entirely disable connection pooling for periodic connections (#2440) - feat(data-pipeline): add runtime-independent agentless sending (#2389) ## libdd-http-client **Next version:** `2.0.0` **Semver bump:** `major` **Tag:** `libdd-http-client-v2.0.0` ### ⚠️ major bump forced due to: - `libdd-common`: ^5.1.1 → ^6.0.0 ### Commits - refactor: migrate HTTP & networking deps to workspace level (phase 4bis) (#2350) - feat(data-pipeline): add runtime-independent agentless sending (#2389) - feat(common)!: add HTTPS_PROXY support for hyper_backend (#2421) ## libdd-remote-config **Next version:** `5.0.0` **Semver bump:** `major` **Tag:** `libdd-remote-config-v5.0.0` ### ⚠️ major bump forced due to: - `libdd-common`: ^5.2.0 → ^6.0.0 ### Commits - fix(remote-config): refresh fetcher identity (#2469) - refactor: migrate HTTP & networking deps to workspace level (phase 4bis) (#2350) - fix(remote-config): reuse injected sleep capability (#2429) ## libdd-shared-runtime **Next version:** `4.0.0` **Semver bump:** `major` **Tag:** `libdd-shared-runtime-v4.0.0` ### ⚠️ major bump forced due to: - `libdd-common`: ^5.2.0 → ^6.0.0 ### Commits - fix(shared-runtime): allow disabling worker fork restart (#2464) ## libdd-trace-utils **Next version:** `12.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-utils-v12.0.0` ### ⚠️ major bump forced due to: - `libdd-common`: ^5.2.0 → ^6.0.0 ### Commits - feat(trace-utils): add v1-native JSON log encoder brick (#2371) - feat(trace-utils): add v1-native agentless JSON encoder brick (#2370) - refactor: migrate HTTP & networking deps to workspace level (phase 4bis) (#2350) - fix(trace-stats): read OTel HTTP names for the status and method dimensions (#2323) - feat(data-pipeline): emit native trace export telemetry (#2338) - feat(data-pipeline)!: add agentless stats export (#2309) - fix(trace-utils): use vec map dedup when serializing (#2422) - feat(data-pipeline): add runtime-independent agentless sending (#2389) - fix(compression): align zstd behavior across targets (#2400) - feat(trace-utils)!: add from owned to SpanText (#2403) ## libdd-ffe **Next version:** `2.0.0` **Semver bump:** `major` **Tag:** `libdd-ffe-v2.0.0` ### ⚠️ major bump forced due to: - `libdd-common`: ^5.1.1 → ^6.0.0 - `libdd-remote-config`: ^3.0.0 → ^4.1.0 - `libdd-trace-protobuf`: ^4.0.1 → ^5.0.0 ### Commits - refactor: migrate HTTP & networking deps to workspace level (phase 4bis) (#2350) - feat(ffe): support arbitrary semver core parts (#2413) - feat(ffe)!: send the split serial id on exposure events [EX-3425] (#2402) - feat(ffe): expose observeFullEvaluationData config-level FFI getter (#2373) - fix(ffe): report rejected flags as parse errors (#2339) - test: skip/shorten slow miri jobs (#2331) ## libdd-dogstatsd-client **Next version:** `6.0.0` **Semver bump:** `major` **Tag:** `libdd-dogstatsd-client-v6.0.0` ### ⚠️ major bump forced due to: - `libdd-common`: ^5.2.0 → ^6.0.0 ### Commits - refactor: migrate HTTP & networking deps to workspace level (phase 4bis) (#2350) ## libdd-telemetry **Next version:** `8.0.0` **Semver bump:** `major` **Tag:** `libdd-telemetry-v8.0.0` ### ⚠️ major bump forced due to: - `libdd-common`: ^5.2.0 → ^6.0.0 ### Commits - refactor: migrate HTTP & networking deps to workspace level (phase 4bis) (#2350) - refactor(telemetry): avoid doing two separate http requests in stop telemetry (#2435) ## libdd-trace-obfuscation **Next version:** `8.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-obfuscation-v8.0.0` ### ⚠️ major bump forced due to: - `libdd-common`: ^5.2.0 → ^6.0.0 - `libdd-trace-utils`: ^11.0.0 → ^12.0.0 ### Commits - fix(trace-obfuscation): scan all span meta for credit-card obfuscation (#2472) - refactor: migrate HTTP & networking deps to workspace level (phase 4bis) (#2350) - feat(data-pipeline)!: Obfuscate v04 spans in agentless context (#2418) ## libdd-tracer-flare **Next version:** `3.0.0` **Semver bump:** `major` **Tag:** `libdd-tracer-flare-v3.0.0` ### ⚠️ major bump forced due to: - `libdd-common`: ^5.2.0 → ^6.0.0 - `libdd-trace-utils`: ^11.0.0 → ^12.0.0 ### Commits - refactor: migrate HTTP & networking deps to workspace level (phase 4bis) (#2350) ## libdd-crashtracker **Next version:** `3.0.0` **Semver bump:** `major` **Tag:** `libdd-crashtracker-v3.0.0` ### ⚠️ major bump forced due to: - `libdd-common`: ^5.2.0 → ^6.0.0 ### Commits - refactor: migrate HTTP & networking deps to workspace level (phase 4bis) (#2350) - fix(crashtracking): filter out frames above faulting frame (#2428) - feat(sidecar)!: support appsec helper-rust integration with sidecar (#2310) - chore(crashtracking): use RAII remote ptrace API (#2416) - chore(crashtracking): bump libdd-libunwind-sys to v1.0.3 (#2414) ## libdd-data-pipeline-core **Next version:** `1.0.0` **Semver bump:** `major` **Tag:** `libdd-data-pipeline-core-v1.0.0` **Warning:** this is an initial release. Please verify that the version and commits included are correct. ## libdd-trace-stats **Next version:** `9.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-stats-v9.0.0` ### ⚠️ major bump forced due to: - `libdd-common`: ^5.2.0 → ^6.0.0 - `libdd-trace-obfuscation`: ^7.0.0 → ^8.0.0 - `libdd-trace-utils`: ^11.0.0 → ^12.0.0 ### Commits - refactor: migrate HTTP & networking deps to workspace level (phase 4bis) (#2350) - fix(trace-stats): read OTel HTTP names for the status and method dimensions (#2323) - feat(data-pipeline)!: add agentless stats export (#2309) - feat(trace-utils)!: add from owned to SpanText (#2403) ## libdd-data-pipeline **Next version:** `10.0.0` **Semver bump:** `major` **Tag:** `libdd-data-pipeline-v10.0.0` ### ⚠️ major bump forced due to: - `libdd-common`: ^5.2.0 → ^6.0.0 - `libdd-trace-obfuscation`: ^7.0.0 → ^8.0.0 - `libdd-trace-stats`: ^8.0.0 → ^9.0.0 - `libdd-trace-utils`: ^11.0.0 → ^12.0.0 ### Commits - feat(trace-utils): add v1-native JSON log encoder brick (#2371) - chore: prepare crate for publishing (#2466) - refactor: migrate HTTP & networking deps to workspace level (phase 4bis) (#2350) - fix(trace-stats): read OTel HTTP names for the status and method dimensions (#2323) - fix(data-pipeline): pass obfuscation config to OTLP stats (#2444) - feat(data-pipeline): emit native trace export telemetry (#2338) - feat(data-pipeline): add fork-safe OTLP gRPC trace transport (#2273) - feat(data-pipeline)!: add agentless stats export (#2309) - feat(data-pipeline)!: Obfuscate v04 spans in agentless context (#2418) - feat(data-pipeline): add runtime-independent agentless sending (#2389) - feat(trace-utils)!: add from owned to SpanText (#2403) ## libdd-ipc **Next version:** `2.0.0` **Semver bump:** `major` **Tag:** `libdd-ipc-v2.0.0` ### ⚠️ major bump forced due to: - `libdd-common`: ^5.2.0 → ^6.0.0 - `libdd-trace-stats`: ^8.0.0 → ^9.0.0 ### Commits - fix(ipc): drop the signal feature from libdd-ipc (#2431) ## libdd-live-debugger **Next version:** `1.0.0` **Semver bump:** `major` **Tag:** `libdd-live-debugger-v1.0.0` **Warning:** this is an initial release. Please verify that the version and commits included are correct. [EX-3425]: https://datadoghq.atlassian.net/browse/EX-3425?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>

feat(ffe): support arbitrary semver core parts

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chore(ffe): repin system test fixtures

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greghuels marked this pull request as ready for review August 25, 2026 16:06

greghuels requested a review from a team as a code owner August 25, 2026 16:06

greghuels requested review from pavlokhrebto and sameerank and removed request for a team August 25, 2026 16:06

Merge remote-tracking branch 'origin/main' into greg.huels/FFL-3092/e…

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…xtended-semver-2

sameerank approved these changes Aug 25, 2026

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Comment thread libdd-ffe-test-suite/ffe-system-test-data

gh-worker-dd-devflow-36fce6 Bot added mergequeue-status: queued mergequeue-status: in_progress and removed mergequeue-status: queued labels Aug 25, 2026

gh-worker-dd-mergequeue-cf854d Bot merged commit 5eb40d6 into main Aug 25, 2026
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gh-worker-dd-devflow-36fce6 Bot removed the mergequeue-status: in_progress label Aug 25, 2026

gh-worker-dd-mergequeue-cf854d Bot deleted the greg.huels/FFL-3092/extended-semver-2 branch August 25, 2026 20:24

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chore(release): proposal for libdd-capabilities-impl, libdd-crashtracker, libdd-data-pipeline, li... #2482

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feat(ffe): support arbitrary semver core parts - #2413

feat(ffe): support arbitrary semver core parts#2413
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