build: update `prost` crates by GeorgeHahn · Pull Request #1426 · DataDog/libdatadog

GeorgeHahn · 2025-12-24T06:13:28Z

What does this PR do?

Update the prost and prost-build crates to 0.14.1. Update console-subscriber to 0.5 to update its transitive prost dependencies.

Motivation

I was going through crate updates for single-machine-performance and noticed that we're pulling in prost 0.13 via libdd-ddsketch. I had some time, so I thought I'd send an update.

Notes

I worked my way through some CI failures, but I'm not sure if I should have. See 1d229c6, in response to https://github.com/DataDog/libdatadog/actions/runs/20479792813/job/58851067888. Generated with cargo check -p libdd-trace-protobuf --features generate-protobuf.

dd-octo-sts · 2025-12-24T06:37:28Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	7.57 MB	7.57 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	87.80 MB	87.80 MB	+0% (+3.84 KB) 👌

aarch64-apple-darwin

Artifact	Baseline	Commit	Change
/aarch64-apple-darwin/lib/libdatadog_profiling.a	59.44 MB	59.44 MB	-0% (-3.17 KB) 👌
/aarch64-apple-darwin/lib/libdatadog_profiling.dylib	8.58 MB	8.58 MB	-0% (-80 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	101.55 MB	101.54 MB	--.01% (-13.07 KB) 💪
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	9.71 MB	9.71 MB	-0% (-696 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	20.45 MB	20.43 MB	--.05% (-12.50 KB) 💪
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	73.49 KB	73.49 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	151.35 MB	151.30 MB	--.03% (-48.00 KB) 💪
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	816.95 MB	816.97 MB	+0% (+20.82 KB) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	6.51 MB	6.51 MB	+0% (+512 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	73.49 KB	73.49 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	20.13 MB	20.14 MB	+.03% (+8.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	39.50 MB	39.51 MB	+.04% (+17.04 KB) 🔍

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	17.43 MB	17.43 MB	+.03% (+5.50 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	74.62 KB	74.62 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	153.97 MB	154.17 MB	+.13% (+208.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	806.64 MB	806.15 MB	--.06% (-498.56 KB) 💪
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	5.01 MB	5.01 MB	--.03% (-2.00 KB) 💪
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	74.62 KB	74.62 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	21.47 MB	21.47 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	37.30 MB	37.29 MB	--.03% (-11.57 KB) 💪

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	76.07 MB	76.06 MB	-0% (-4.62 KB) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	9.00 MB	9.00 MB	0% (0 B) 👌

x86_64-apple-darwin

Artifact	Baseline	Commit	Change
/x86_64-apple-darwin/lib/libdatadog_profiling.a	60.78 MB	60.77 MB	--.02% (-16.30 KB) 💪
/x86_64-apple-darwin/lib/libdatadog_profiling.dylib	9.63 MB	9.63 MB	--.01% (-1.40 KB) 💪

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	95.62 MB	95.63 MB	+.01% (+9.85 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	10.45 MB	10.45 MB	+0% (+448 B) 👌

codecov-commenter · 2025-12-24T06:40:53Z

Codecov Report

❌ Patch coverage is 16.66667% with 5 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.29%. Comparing base (e99f32f) to head (f63272d).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1426      +/-   ##
==========================================
- Coverage   71.35%   71.29%   -0.06%     
==========================================
  Files         413      413              
  Lines       66152    66142      -10     
==========================================
- Hits        47203    47157      -46     
- Misses      18949    18985      +36

Components	Coverage Δ
libdd-crashtracker	`58.64% <ø> (-0.29%)`	⬇️
libdd-crashtracker-ffi	`14.37% <ø> (-2.02%)`	⬇️
libdd-alloc	`98.73% <ø> (ø)`
libdd-data-pipeline	`86.17% <ø> (-0.19%)`	⬇️
libdd-data-pipeline-ffi	`77.01% <ø> (-1.05%)`	⬇️
libdd-common	`81.11% <ø> (ø)`
libdd-common-ffi	`74.19% <ø> (ø)`
libdd-telemetry	`59.92% <ø> (-0.04%)`	⬇️
libdd-telemetry-ffi	`21.17% <ø> (ø)`
libdd-dogstatsd-client	`83.75% <ø> (ø)`
datadog-ipc	`82.61% <ø> (ø)`
libdd-profiling	`81.04% <ø> (ø)`
libdd-profiling-ffi	`62.43% <ø> (ø)`
datadog-sidecar	`35.99% <ø> (-0.30%)`	⬇️
datdog-sidecar-ffi	`11.46% <ø> (-1.50%)`	⬇️
spawn-worker	`55.18% <ø> (ø)`
libdd-tinybytes	`92.44% <ø> (ø)`
libdd-trace-normalization	`82.33% <ø> (ø)`
libdd-trace-obfuscation	`94.17% <ø> (ø)`
libdd-trace-protobuf	`61.18% <16.66%> (ø)`
libdd-trace-utils	`89.74% <ø> (ø)`
datadog-tracer-flare	`61.06% <ø> (+1.32%)`	⬆️
libdd-log	`75.57% <ø> (ø)`

🚀 New features to boost your workflow:

❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

pr-commenter · 2025-12-24T06:42:50Z

Benchmarks

Comparison

Benchmark execution time: 2026-01-09 18:04:12

Comparing candidate commit f63272d in PR branch hahn/update-prost-crates with baseline commit e99f32f in branch main.

Found 13 performance improvements and 2 performance regressions! Performance is the same for 42 metrics, 2 unstable metrics.

scenario:credit_card/is_card_number/x371413321323331

🟩 execution_time [-540.238ns; -526.306ns] or [-8.390%; -8.173%]
🟩 throughput [+13834895.689op/s; +14233549.823op/s] or [+8.909%; +9.165%]

scenario:credit_card/is_card_number_no_luhn/x371413321323331

🟩 execution_time [-546.839ns; -532.172ns] or [-8.490%; -8.262%]
🟩 throughput [+13994933.934op/s; +14416174.953op/s] or [+9.014%; +9.286%]

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

🟩 execution_time [-17.855µs; -17.578µs] or [-8.701%; -8.566%]
🟩 throughput [+456845.880op/s; +464330.879op/s] or [+9.374%; +9.528%]

scenario:normalization/normalize_name/normalize_name/good

🟩 execution_time [-706.142ns; -678.602ns] or [-6.627%; -6.369%]
🟩 throughput [+6394237.687op/s; +6657042.916op/s] or [+6.813%; +7.093%]

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

🟩 execution_time [-39.650µs; -39.334µs] or [-7.398%; -7.339%]
🟩 throughput [+147850.074op/s; +149026.072op/s] or [+7.924%; +7.987%]

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

🟩 execution_time [-25.228µs; -25.158µs] or [-12.924%; -12.888%]
🟩 throughput [+758078.817op/s; +760161.669op/s] or [+14.798%; +14.839%]

scenario:normalization/normalize_service/normalize_service/[empty string]

🟩 throughput [+1046423.935op/s; +1061235.668op/s] or [+4.078%; +4.136%]

scenario:profile_add_sample2_frames_x1000

🟥 execution_time [+34.244µs; +34.410µs] or [+6.526%; +6.557%]

scenario:sql/obfuscate_sql_string

🟥 execution_time [+4.760µs; +4.823µs] or [+5.572%; +5.646%]

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	`f63272d`	1767980881	hahn/update-prost-crates

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	558.280µs	559.092µs ± 0.435µs	559.070µs ± 0.279µs	559.360µs	559.881µs	560.206µs	560.482µs	0.25%	0.504	0.127	0.08%	0.031µs	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	[559.032µs; 559.153µs] or [-0.011%; +0.011%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`f63272d`	1767980881	hahn/update-prost-crates

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
sdk_test_data/rules-based	execution_time	144.781µs	146.649µs ± 1.846µs	146.404µs ± 0.630µs	147.027µs	148.254µs	153.293µs	165.137µs	12.80%	6.263	54.196	1.26%	0.131µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sdk_test_data/rules-based	execution_time	[146.393µs; 146.905µs] or [-0.174%; +0.174%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`f63272d`	1767980881	hahn/update-prost-crates

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	495.369µs	496.431µs ± 0.784µs	496.390µs ± 0.355µs	496.735µs	497.112µs	497.547µs	505.366µs	1.81%	7.437	82.596	0.16%	0.055µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1978765.646op/s	2014383.919op/s ± 3143.973op/s	2014546.932op/s ± 1441.053op/s	2016099.902op/s	2017460.821op/s	2018399.546op/s	2018698.305op/s	0.21%	-7.299	80.534	0.16%	222.312op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	371.504µs	372.232µs ± 0.268µs	372.205µs ± 0.168µs	372.409µs	372.729µs	372.955µs	373.085µs	0.24%	0.278	0.431	0.07%	0.019µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2680352.781op/s	2686494.373op/s ± 1934.671op/s	2686694.298op/s ± 1214.954op/s	2687805.046op/s	2689297.079op/s	2691478.387op/s	2691763.578op/s	0.19%	-0.273	0.429	0.07%	136.802op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	169.561µs	170.013µs ± 0.157µs	170.005µs ± 0.106µs	170.117µs	170.280µs	170.402µs	170.422µs	0.25%	0.231	-0.033	0.09%	0.011µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5867771.809op/s	5881925.032op/s ± 5442.469op/s	5882178.327op/s ± 3676.336op/s	5885779.737op/s	5889868.769op/s	5893726.099op/s	5897594.714op/s	0.26%	-0.226	-0.034	0.09%	384.841op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.337µs	37.437µs ± 0.055µs	37.428µs ± 0.035µs	37.466µs	37.541µs	37.602µs	37.607µs	0.48%	0.991	1.006	0.15%	0.004µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26591008.532op/s	26711251.552op/s ± 39182.252op/s	26718097.117op/s ± 25318.290op/s	26739863.672op/s	26758884.383op/s	26769844.385op/s	26783157.712op/s	0.24%	-0.982	0.982	0.15%	2770.604op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	46.158µs	46.290µs ± 0.062µs	46.281µs ± 0.047µs	46.332µs	46.412µs	46.464µs	46.471µs	0.41%	0.562	-0.105	0.13%	0.004µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21519005.794op/s	21603181.780op/s ± 28971.208op/s	21607086.288op/s ± 22173.775op/s	21626590.532op/s	21640110.239op/s	21652671.036op/s	21664928.813op/s	0.27%	-0.556	-0.116	0.13%	2048.574op/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	[496.322µs; 496.540µs] or [-0.022%; +0.022%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2013948.194op/s; 2014819.643op/s] or [-0.022%; +0.022%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[372.195µs; 372.270µs] or [-0.010%; +0.010%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2686226.246op/s; 2686762.500op/s] or [-0.010%; +0.010%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[169.991µs; 170.034µs] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5881170.758op/s; 5882679.306op/s] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.430µs; 37.445µs] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26705821.269op/s; 26716681.836op/s] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.281µs; 46.298µs] or [-0.019%; +0.019%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21599166.649op/s; 21607196.910op/s] or [-0.019%; +0.019%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`f63272d`	1767980881	hahn/update-prost-crates

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	17.668µs	25.711µs ± 9.537µs	18.186µs ± 0.226µs	33.696µs	43.627µs	44.524µs	63.218µs	247.62%	0.968	0.406	37.00%	0.674µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.389µs; 27.032µs] or [-5.141%; +5.141%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`f63272d`	1767980881	hahn/update-prost-crates

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	4.953µs	5.035µs ± 0.046µs	5.043µs ± 0.039µs	5.069µs	5.110µs	5.114µs	5.119µs	1.52%	-0.018	-1.075	0.91%	0.003µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
ip_address/quantize_peer_ip_address_benchmark	execution_time	[5.029µs; 5.042µs] or [-0.126%; +0.126%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`f63272d`	1767980881	hahn/update-prost-crates

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	2.437µs	2.464µs ± 0.018µs	2.460µs ± 0.006µs	2.466µs	2.504µs	2.512µs	2.629µs	6.88%	4.483	31.922	0.75%	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	[2.461µs; 2.466µs] or [-0.104%; +0.104%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`f63272d`	1767980881	hahn/update-prost-crates

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	186.690µs	187.482µs ± 0.850µs	187.054µs ± 0.190µs	188.039µs	189.398µs	189.781µs	190.959µs	2.09%	1.501	1.561	0.45%	0.060µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5236712.497op/s	5333961.233op/s ± 24034.404op/s	5346041.587op/s ± 5427.876op/s	5350274.622op/s	5353648.861op/s	5356065.332op/s	5356481.188op/s	0.20%	-1.483	1.480	0.45%	1699.489op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.543µs	17.648µs ± 0.047µs	17.647µs ± 0.028µs	17.675µs	17.726µs	17.752µs	17.928µs	1.59%	1.087	5.263	0.27%	0.003µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	55777477.612op/s	56662514.679op/s ± 150456.590op/s	56666534.445op/s ± 88812.275op/s	56755614.953op/s	56894660.961op/s	56949166.097op/s	57004174.131op/s	0.60%	-1.040	4.971	0.26%	10638.887op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	9.894µs	9.963µs ± 0.079µs	9.918µs ± 0.014µs	10.018µs	10.123µs	10.186µs	10.234µs	3.19%	1.313	0.648	0.79%	0.006µs	1	200
normalization/normalize_name/normalize_name/good	throughput	97712129.702op/s	100380301.729op/s ± 789630.052op/s	100830553.491op/s ± 140373.766op/s	100919919.480op/s	101007932.938op/s	101053660.499op/s	101067100.132op/s	0.23%	-1.292	0.560	0.78%	55835.276op/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	[187.364µs; 187.600µs] or [-0.063%; +0.063%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5330630.295op/s; 5337292.170op/s] or [-0.062%; +0.062%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.642µs; 17.655µs] or [-0.037%; +0.037%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[56641662.843op/s; 56683366.516op/s] or [-0.037%; +0.037%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[9.952µs; 9.974µs] or [-0.110%; +0.110%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[100270866.598op/s; 100489736.860op/s] or [-0.109%; +0.109%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`f63272d`	1767980881	hahn/update-prost-crates

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	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.913µs	3.916µs	3.919µs	3.919µs	0.20%	-0.984	9.098	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	255136811.003op/s	255643187.899op/s ± 185739.340op/s	255650467.723op/s ± 104928.896op/s	255755901.848op/s	255873169.876op/s	255943727.899op/s	256886791.287op/s	0.48%	1.006	9.246	0.07%	13133.755op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	78.895µs	79.996µs ± 0.595µs	79.912µs ± 0.398µs	80.369µs	81.085µs	81.575µs	81.916µs	2.51%	0.596	0.160	0.74%	0.042µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12207571.737op/s	12501383.398op/s ± 92536.320op/s	12513708.609op/s ± 62714.999op/s	12566360.196op/s	12632780.302op/s	12668622.331op/s	12675154.795op/s	1.29%	-0.556	0.088	0.74%	6543.306op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	74.364µs	74.888µs ± 0.145µs	74.875µs ± 0.066µs	74.949µs	75.141µs	75.420µs	75.651µs	1.04%	0.949	5.803	0.19%	0.010µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13218520.291op/s	13353285.732op/s ± 25839.217op/s	13355506.131op/s ± 11757.113op/s	13366419.878op/s	13382594.397op/s	13422241.737op/s	13447338.666op/s	0.69%	-0.909	5.699	0.19%	1827.109op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.892µs	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.913µs	3.917µs	3.919µs	3.921µs	0.23%	-0.965	9.272	0.08%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	255055016.873op/s	255635738.149op/s ± 195384.130op/s	255642288.753op/s ± 112647.759op/s	255754840.248op/s	255875942.861op/s	255940678.182op/s	256946524.675op/s	0.51%	0.989	9.428	0.08%	13815.744op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	71.651µs	72.071µs ± 0.167µs	72.064µs ± 0.098µs	72.168µs	72.330µs	72.570µs	72.705µs	0.89%	0.367	1.363	0.23%	0.012µs	1	200
credit_card/is_card_number/378282246310005	throughput	13754244.891op/s	13875250.788op/s ± 32215.503op/s	13876500.157op/s ± 18905.947op/s	13894529.726op/s	13929163.291op/s	13946967.120op/s	13956523.922op/s	0.58%	-0.344	1.319	0.23%	2277.980op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.143µs	52.198µs ± 0.031µs	52.197µs ± 0.023µs	52.217µs	52.257µs	52.271µs	52.290µs	0.18%	0.458	-0.291	0.06%	0.002µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19124231.706op/s	19157803.378op/s ± 11333.407op/s	19158263.725op/s ± 8398.741op/s	19166984.391op/s	19174290.345op/s	19176754.169op/s	19178188.646op/s	0.10%	-0.455	-0.295	0.06%	801.393op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	5.781µs	5.906µs ± 0.050µs	5.901µs ± 0.034µs	5.934µs	5.993µs	6.022µs	6.044µs	2.43%	0.045	-0.217	0.84%	0.004µs	1	200
credit_card/is_card_number/x371413321323331	throughput	165440222.728op/s	169331372.631op/s ± 1431993.396op/s	169457637.798op/s ± 970227.046op/s	170436464.203op/s	171558977.268op/s	172616724.728op/s	172983038.245op/s	2.08%	0.000	-0.220	0.84%	101257.224op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.893µs	3.912µs ± 0.003µs	3.913µs ± 0.002µs	3.915µs	3.917µs	3.919µs	3.920µs	0.18%	-1.201	7.333	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255126297.495op/s	255593857.676op/s ± 195984.218op/s	255589674.722op/s ± 138124.645op/s	255727733.673op/s	255874441.121op/s	255915743.408op/s	256864675.813op/s	0.50%	1.219	7.463	0.08%	13858.177op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.124µs	64.279µs ± 0.097µs	64.256µs ± 0.043µs	64.310µs	64.465µs	64.610µs	64.739µs	0.75%	1.922	4.911	0.15%	0.007µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15446537.109op/s	15557234.323op/s ± 23507.292op/s	15562714.073op/s ± 10527.758op/s	15572000.001op/s	15581801.626op/s	15589765.475op/s	15594872.406op/s	0.21%	-1.908	4.836	0.15%	1662.217op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	57.368µs	57.526µs ± 0.096µs	57.500µs ± 0.052µs	57.569µs	57.723µs	57.787µs	57.999µs	0.87%	1.404	2.742	0.17%	0.007µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	17241821.803op/s	17383356.778op/s ± 29030.888op/s	17391412.124op/s ± 15744.127op/s	17402835.357op/s	17417477.742op/s	17422725.157op/s	17431212.329op/s	0.23%	-1.391	2.673	0.17%	2052.794op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.897µs	3.912µs ± 0.003µs	3.911µs ± 0.001µs	3.913µs	3.916µs	3.918µs	3.918µs	0.18%	-0.480	5.330	0.06%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255199884.786op/s	255643004.389op/s ± 165104.784op/s	255666609.941op/s ± 94802.078op/s	255747677.761op/s	255836658.993op/s	255908229.747op/s	256622738.380op/s	0.37%	0.494	5.405	0.06%	11674.671op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	54.568µs	54.791µs ± 0.156µs	54.746µs ± 0.075µs	54.863µs	55.067µs	55.380µs	55.534µs	1.44%	1.717	4.046	0.28%	0.011µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	18006953.045op/s	18251237.659op/s ± 51810.662op/s	18266277.712op/s ± 24914.573op/s	18286262.446op/s	18308436.528op/s	18318620.276op/s	18325890.819op/s	0.33%	-1.691	3.913	0.28%	3663.567op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	52.139µs	52.209µs ± 0.041µs	52.206µs ± 0.031µs	52.237µs	52.276µs	52.318µs	52.395µs	0.36%	0.841	1.354	0.08%	0.003µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19085739.404op/s	19153747.429op/s ± 14970.579op/s	19154870.168op/s ± 11482.146op/s	19166458.219op/s	19172489.875op/s	19177190.401op/s	19179464.547op/s	0.13%	-0.835	1.328	0.08%	1058.580op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	5.736µs	5.902µs ± 0.053µs	5.899µs ± 0.033µs	5.932µs	5.988µs	6.025µs	6.029µs	2.20%	-0.232	0.358	0.89%	0.004µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	165865229.940op/s	169456419.445op/s ± 1512083.373op/s	169521795.658op/s ± 936570.624op/s	170415162.713op/s	171993296.626op/s	173405465.545op/s	174326248.636op/s	2.83%	0.294	0.426	0.89%	106920.441op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
credit_card/is_card_number/	execution_time	[3.911µs; 3.912µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/	throughput	[255617446.213op/s; 255668929.585op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[79.913µs; 80.078µs] or [-0.103%; +0.103%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12488558.754op/s; 12514208.042op/s] or [-0.103%; +0.103%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[74.868µs; 74.908µs] or [-0.027%; +0.027%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13349704.665op/s; 13356866.799op/s] or [-0.027%; +0.027%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.911µs; 3.912µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255608659.788op/s; 255662816.510op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[72.048µs; 72.094µs] or [-0.032%; +0.032%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[13870786.029op/s; 13879715.547op/s] or [-0.032%; +0.032%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.194µs; 52.202µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19156232.677op/s; 19159374.079op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[5.899µs; 5.913µs] or [-0.117%; +0.117%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[169132912.119op/s; 169529833.144op/s] or [-0.117%; +0.117%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.912µs; 3.913µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255566696.148op/s; 255621019.204op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[64.265µs; 64.292µs] or [-0.021%; +0.021%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15553976.439op/s; 15560492.208op/s] or [-0.021%; +0.021%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[57.513µs; 57.540µs] or [-0.023%; +0.023%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17379333.376op/s; 17387380.180op/s] or [-0.023%; +0.023%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.911µs; 3.912µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255620122.454op/s; 255665886.324op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[54.770µs; 54.813µs] or [-0.040%; +0.040%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18244057.199op/s; 18258418.118op/s] or [-0.039%; +0.039%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.203µs; 52.215µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19151672.651op/s; 19155822.208op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[5.894µs; 5.909µs] or [-0.123%; +0.123%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[169246859.232op/s; 169665979.658op/s] or [-0.124%; +0.124%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`f63272d`	1767980881	hahn/update-prost-crates

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/2597	execution_time	9.615ms	9.868ms ± 0.054ms	9.866ms ± 0.028ms	9.897ms	9.946ms	10.007ms	10.083ms	2.20%	-0.484	4.690	0.55%	0.004ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
receiver_entry_point/report/2597	execution_time	[9.860ms; 9.875ms] or [-0.076%; +0.076%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`f63272d`	1767980881	hahn/update-prost-crates

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	90.051µs	90.220µs ± 0.159µs	90.199µs ± 0.042µs	90.248µs	90.348µs	90.859µs	91.851µs	1.83%	6.634	59.400	0.18%	0.011µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[90.198µs; 90.242µs] or [-0.024%; +0.024%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`f63272d`	1767980881	hahn/update-prost-crates

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	187.279ns	190.391ns ± 2.326ns	189.947ns ± 1.553ns	191.619ns	194.773ns	196.633ns	199.027ns	4.78%	1.117	1.059	1.22%	0.165ns	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	[190.068ns; 190.713ns] or [-0.169%; +0.169%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`f63272d`	1767980881	hahn/update-prost-crates

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	33.725µs	34.211µs ± 0.846µs	33.828µs ± 0.048µs	33.937µs	35.984µs	36.031µs	37.628µs	11.23%	1.797	1.624	2.47%	0.060µs	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; 34.328µs] or [-0.343%; +0.343%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`f63272d`	1767980881	hahn/update-prost-crates

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	60.892ms	61.492ms ± 2.253ms	61.233ms ± 0.112ms	61.335ms	61.553ms	73.334ms	83.434ms	36.26%	8.491	72.898	3.65%	0.159ms	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	[61.180ms; 61.804ms] or [-0.508%; +0.508%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`f63272d`	1767980881	hahn/update-prost-crates

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	1.230µs	3.279µs ± 1.469µs	3.035µs ± 0.034µs	3.067µs	3.686µs	14.478µs	15.033µs	395.31%	7.267	54.204	44.69%	0.104µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.075µs; 3.482µs] or [-6.209%; +6.209%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`f63272d`	1767980881	hahn/update-prost-crates

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	10.586ms	10.620ms ± 0.028ms	10.612ms ± 0.012ms	10.630ms	10.669ms	10.706ms	10.818ms	1.94%	2.531	11.410	0.27%	0.002ms	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	[10.617ms; 10.624ms] or [-0.037%; +0.037%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`f63272d`	1767980881	hahn/update-prost-crates

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	4.010ms	4.018ms ± 0.008ms	4.017ms ± 0.002ms	4.019ms	4.024ms	4.039ms	4.103ms	2.15%	7.819	81.526	0.19%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample_frames_x1000	execution_time	[4.017ms; 4.019ms] or [-0.026%; +0.026%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`f63272d`	1767980881	hahn/update-prost-crates

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	242.450ns	254.242ns ± 15.164ns	246.698ns ± 2.467ns	257.276ns	281.863ns	294.832ns	314.659ns	27.55%	1.497	1.159	5.95%	1.072ns	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	[252.140ns; 256.344ns] or [-0.827%; +0.827%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`f63272d`	1767980881	hahn/update-prost-crates

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	162.596µs	163.373µs ± 0.349µs	163.315µs ± 0.188µs	163.517µs	164.014µs	164.460µs	164.937µs	0.99%	1.220	2.507	0.21%	0.025µs	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	[163.324µs; 163.421µs] or [-0.030%; +0.030%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`f63272d`	1767980881	hahn/update-prost-crates

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	14.776ms	14.852ms ± 0.035ms	14.849ms ± 0.018ms	14.866ms	14.925ms	14.981ms	15.018ms	1.14%	1.549	4.054	0.24%	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	[14.848ms; 14.857ms] or [-0.033%; +0.033%]	None	None	None

Baseline

Omitted due to size.

morrisonlevi · 2026-01-05T15:57:57Z

CI failure was due to an interrupted syscall, which I adjusted to be handled here: #1430.

morrisonlevi

I'm not 100% sure on the changelog process as it's new but as far as I can tell, it looks good.

morrisonlevi · 2026-01-05T17:13:13Z

After merging in tests, there was a SIGSEGV in rustc on macOS x86_64. That's unexpected but it's not a priority platform and I don't think it should block the PR at all.

GeorgeHahn · 2026-01-08T23:28:54Z

@morrisonlevi I'm frightfully unfamiliar with development in this repo, would you mind helping me understand what I should do to move this forward? Should I ping the other teams listed to request reviews?

morrisonlevi · 2026-01-09T17:48:44Z

I've been trying to get it to pass but CI keeps failing for "odd" reasons. Latest failure was a recent policy change though but I've fixed the title and 🤞🏻 it will work this time!

morrisonlevi · 2026-01-09T18:18:15Z

/merge

dd-devflow-routing-codex · 2026-01-09T18:18:19Z

View all feedbacks in Devflow UI.

2026-01-09 18:18:18 UTC ℹ️ Start processing command /merge

2026-01-09 18:18:22 UTC ℹ️ MergeQueue: pull request added to the queue

The expected merge time in main is approximately 26m (p90).

2026-01-09 18:43:59 UTC ℹ️ MergeQueue: This merge request was merged

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

GeorgeHahn added 2 commits December 24, 2025 00:06

Update prost & prost-build

6736d22

Update console-subscriber

b4f6ffb

GeorgeHahn requested a review from a team as a code owner December 24, 2025 06:13

GeorgeHahn added the dependencies Pull requests that update a dependency file label Dec 24, 2025

GeorgeHahn requested review from a team as code owners December 24, 2025 06:13

github-actions bot added mini-agent sidecar labels Dec 24, 2025

GeorgeHahn added 3 commits December 24, 2025 00:15

Update LICENSE-3rdparty.yml

2eaaeba

fixup! Update LICENSE-3rdparty.yml

6f4c76f

Regenerate protobufs for libdd-trace-protobuf

1d229c6

Merge branch 'main' into hahn/update-prost-crates

7658e7e

morrisonlevi approved these changes Jan 5, 2026

View reviewed changes

morrisonlevi added 2 commits January 5, 2026 10:42

Merge branch 'main' into hahn/update-prost-crates

2c28442

Merge branch 'main' into hahn/update-prost-crates

c6e4cc8

GeorgeHahn changed the title ~~Update prost crates~~ build: Update prost crates Jan 8, 2026

morrisonlevi changed the title ~~build: Update prost crates~~ build: update prost crates Jan 9, 2026

Merge branch 'main' into hahn/update-prost-crates

f63272d

atlassian bot mentioned this pull request Feb 18, 2026

chore(release): proposal for libdd-data-pipeline #1601

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Artifact Size Benchmark Report

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Benchmarks

Comparison

scenario:credit_card/is_card_number/x371413321323331

scenario:credit_card/is_card_number_no_luhn/x371413321323331

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

scenario:normalization/normalize_name/normalize_name/good

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

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

scenario:normalization/normalize_service/normalize_service/[empty string]

scenario:profile_add_sample2_frames_x1000

scenario:sql/obfuscate_sql_string

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Baseline

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