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chore(release): proposal for libdd-data-pipeline#1603

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dd-octo-sts[bot] wants to merge 9 commits intoreleasefrom
release-proposal/libdd-data-pipeline/20260218-150738
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chore(release): proposal for libdd-data-pipeline#1603
dd-octo-sts[bot] wants to merge 9 commits intoreleasefrom
release-proposal/libdd-data-pipeline/20260218-150738

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@dd-octo-sts dd-octo-sts Bot commented Feb 18, 2026

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: 1.2.0

Semver bump: minor
Tag: libdd-common-v1.2.0

Commits

libdd-ddsketch

Next version: 1.0.1

Semver bump: patch
Tag: libdd-ddsketch-v1.0.1

Commits

libdd-tinybytes

Semver bump: skipped because there were no changes to the public API

libdd-trace-protobuf

Next version: 1.1.0

Semver bump: minor
Tag: libdd-trace-protobuf-v1.1.0

Commits

libdd-dogstatsd-client

Next version: 1.0.1

Semver bump: patch
Tag: libdd-dogstatsd-client-v1.0.1

Commits

libdd-telemetry

Next version: 3.0.0

Semver bump: major
Tag: libdd-telemetry-v3.0.0

Commits

libdd-trace-normalization

Next version: 1.0.1

Semver bump: patch
Tag: libdd-trace-normalization-v1.0.1

Commits

libdd-trace-utils

Next version: 2.0.0

Semver bump: major
Tag: libdd-trace-utils-v2.0.0

Commits

libdd-trace-stats

Next version: 1.0.1

Semver bump: patch
Tag: libdd-trace-stats-v1.0.1

Commits

libdd-data-pipeline

Next version: 2.0.0

Semver bump: major
Tag: libdd-data-pipeline-v2.0.0

Commits

@dd-octo-sts dd-octo-sts Bot requested review from a team as code owners February 18, 2026 15:21
@dd-octo-sts dd-octo-sts Bot added the release-proposal This is a release proposal PR label Feb 18, 2026
@dd-octo-sts dd-octo-sts Bot requested a review from a team as a code owner February 18, 2026 15:21
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pr-commenter Bot commented Feb 18, 2026 •
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Benchmarks

Comparison

Benchmark execution time: 2026-02-18 15:37:46

Comparing candidate commit b088ada in PR branch release-proposal/libdd-data-pipeline/20260218-150738 with baseline commit 27bdc6e in branch release.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 57 metrics, 2 unstable metrics.

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 b088ada 1771428069 release-proposal/libdd-data-pipeline/20260218-150738
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 10.750ms 10.777ms ± 0.017ms 10.774ms ± 0.008ms 10.782ms 10.799ms 10.844ms 10.911ms 1.27% 3.698 23.390 0.16% 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 [10.774ms; 10.779ms] or [-0.022%; +0.022%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b088ada 1771428069 release-proposal/libdd-data-pipeline/20260218-150738
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 17.710µs 25.610µs ± 9.355µs 18.084µs ± 0.247µs 33.710µs 42.064µs 54.941µs 58.467µs 223.31% 0.826 -0.126 36.44% 0.661µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [24.314µs; 26.907µs] or [-5.062%; +5.062%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b088ada 1771428069 release-proposal/libdd-data-pipeline/20260218-150738
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 4.117ms 4.123ms ± 0.006ms 4.123ms ± 0.002ms 4.124ms 4.127ms 4.131ms 4.204ms 1.99% 10.294 127.804 0.15% 0.000ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample_frames_x1000 execution_time [4.122ms; 4.124ms] or [-0.022%; +0.022%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b088ada 1771428069 release-proposal/libdd-data-pipeline/20260218-150738
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 14.728ms 14.774ms ± 0.028ms 14.771ms ± 0.011ms 14.782ms 14.801ms 14.890ms 14.971ms 1.36% 3.330 16.948 0.19% 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 [14.770ms; 14.778ms] or [-0.026%; +0.026%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b088ada 1771428069 release-proposal/libdd-data-pipeline/20260218-150738
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 2.318µs 2.384µs ± 0.021µs 2.386µs ± 0.009µs 2.394µs 2.413µs 2.424µs 2.428µs 1.75% -1.115 2.431 0.86% 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 [2.381µs; 2.387µs] or [-0.120%; +0.120%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b088ada 1771428069 release-proposal/libdd-data-pipeline/20260218-150738
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
benching string interning on wordpress profile execution_time 161.691µs 162.417µs ± 0.325µs 162.372µs ± 0.125µs 162.517µs 162.836µs 163.366µs 165.231µs 1.76% 3.783 28.094 0.20% 0.023µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching string interning on wordpress profile execution_time [162.372µs; 162.462µs] or [-0.028%; +0.028%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b088ada 1771428069 release-proposal/libdd-data-pipeline/20260218-150738
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 494.537µs 495.320µs ± 0.559µs 495.277µs ± 0.256µs 495.543µs 495.901µs 496.190µs 501.239µs 1.20% 5.999 61.114 0.11% 0.040µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1995056.251op/s 2018901.309op/s ± 2262.623op/s 2019070.684op/s ± 1044.327op/s 2020084.805op/s 2021464.698op/s 2021978.445op/s 2022094.528op/s 0.15% -5.908 59.844 0.11% 159.992op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 368.957µs 369.725µs ± 0.300µs 369.704µs ± 0.198µs 369.922µs 370.216µs 370.583µs 370.651µs 0.26% 0.331 0.292 0.08% 0.021µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2697957.974op/s 2704717.640op/s ± 2192.348op/s 2704866.119op/s ± 1448.130op/s 2706214.819op/s 2708110.044op/s 2709212.469op/s 2710342.301op/s 0.20% -0.325 0.285 0.08% 155.022op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 167.124µs 167.481µs ± 0.177µs 167.461µs ± 0.110µs 167.592µs 167.816µs 168.010µs 168.111µs 0.39% 0.755 0.973 0.11% 0.013µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5948444.966op/s 5970842.957op/s ± 6317.766op/s 5971525.960op/s ± 3935.251op/s 5975164.161op/s 5979501.979op/s 5981647.002op/s 5983569.397op/s 0.20% -0.747 0.954 0.11% 446.734op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 38.666µs 38.883µs ± 0.091µs 38.880µs ± 0.062µs 38.941µs 39.040µs 39.137µs 39.235µs 0.91% 0.521 0.680 0.23% 0.006µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 25487708.057op/s 25718372.562op/s ± 60403.862op/s 25719982.393op/s ± 41260.403op/s 25762243.285op/s 25805673.412op/s 25837284.806op/s 25862302.597op/s 0.55% -0.504 0.643 0.23% 4271.198op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 45.526µs 45.738µs ± 0.077µs 45.745µs ± 0.044µs 45.786µs 45.848µs 45.940µs 45.987µs 0.53% -0.209 0.595 0.17% 0.005µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21745128.729op/s 21863802.626op/s ± 36621.252op/s 21860219.703op/s ± 20825.251op/s 21882743.872op/s 21935492.327op/s 21948304.273op/s 21965293.372op/s 0.48% 0.222 0.589 0.17% 2589.514op/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 [495.242µs; 495.397µs] or [-0.016%; +0.016%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [2018587.731op/s; 2019214.887op/s] or [-0.016%; +0.016%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [369.683µs; 369.766µs] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2704413.801op/s; 2705021.478op/s] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [167.456µs; 167.505µs] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5969967.375op/s; 5971718.538op/s] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [38.870µs; 38.896µs] or [-0.033%; +0.033%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [25710001.168op/s; 25726743.956op/s] or [-0.033%; +0.033%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [45.727µs; 45.748µs] or [-0.023%; +0.023%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21858727.273op/s; 21868877.979op/s] or [-0.023%; +0.023%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b088ada 1771428069 release-proposal/libdd-data-pipeline/20260218-150738
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 144.172µs 146.210µs ± 1.872µs 145.990µs ± 0.559µs 146.482µs 147.983µs 152.650µs 164.626µs 12.77% 6.083 50.971 1.28% 0.132µs 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 [145.950µs; 146.469µs] or [-0.177%; +0.177%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b088ada 1771428069 release-proposal/libdd-data-pipeline/20260218-150738
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 188.134ns 190.805ns ± 2.171ns 190.554ns ± 1.418ns 191.775ns 194.628ns 197.265ns 200.848ns 5.40% 1.244 2.262 1.13% 0.154ns 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 [190.504ns; 191.106ns] or [-0.158%; +0.158%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b088ada 1771428069 release-proposal/libdd-data-pipeline/20260218-150738
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... execution_time 185.387µs 186.168µs ± 0.555µs 186.053µs ± 0.354µs 186.459µs 187.222µs 187.815µs 188.449µs 1.29% 1.165 1.380 0.30% 0.039µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 5306476.900op/s 5371552.868op/s ± 15948.539op/s 5374817.972op/s ± 10259.858op/s 5383901.811op/s 5389763.293op/s 5391826.070op/s 5394118.577op/s 0.36% -1.148 1.310 0.30% 1127.732op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 17.807µs 17.928µs ± 0.055µs 17.921µs ± 0.036µs 17.961µs 18.030µs 18.055µs 18.087µs 0.93% 0.373 -0.209 0.30% 0.004µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 55288020.387op/s 55779431.972op/s ± 170259.799op/s 55800405.233op/s ± 112134.406op/s 55905506.540op/s 56044941.469op/s 56109132.151op/s 56159174.923op/s 0.64% -0.358 -0.222 0.30% 12039.186op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 9.981µs 10.099µs ± 0.038µs 10.101µs ± 0.028µs 10.126µs 10.159µs 10.175µs 10.203µs 1.02% 0.052 -0.305 0.37% 0.003µs 1 200
normalization/normalize_name/normalize_name/good throughput 98007405.499op/s 99017818.935op/s ± 369453.856op/s 99004851.238op/s ± 277570.019op/s 99313364.774op/s 99569437.615op/s 99656570.990op/s 100195000.725op/s 1.20% -0.033 -0.303 0.37% 26124.333op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... execution_time [186.091µs; 186.244µs] or [-0.041%; +0.041%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [5369342.553op/s; 5373763.182op/s] or [-0.041%; +0.041%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [17.920µs; 17.936µs] or [-0.042%; +0.042%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [55755835.602op/s; 55803028.343op/s] or [-0.042%; +0.042%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.094µs; 10.105µs] or [-0.052%; +0.052%] None None None
normalization/normalize_name/normalize_name/good throughput [98966616.184op/s; 99069021.686op/s] or [-0.052%; +0.052%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b088ada 1771428069 release-proposal/libdd-data-pipeline/20260218-150738
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 242.763ns 252.812ns ± 13.401ns 246.151ns ± 2.512ns 251.902ns 283.465ns 288.434ns 289.690ns 17.69% 1.627 1.142 5.29% 0.948ns 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
normalization/normalize_trace/test_trace execution_time [250.955ns; 254.669ns] or [-0.735%; +0.735%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b088ada 1771428069 release-proposal/libdd-data-pipeline/20260218-150738
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 1.219µs 3.237µs ± 1.435µs 3.008µs ± 0.026µs 3.038µs 3.702µs 14.154µs 14.768µs 390.98% 7.282 54.439 44.23% 0.101µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [3.038µs; 3.436µs] or [-6.145%; +6.145%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b088ada 1771428069 release-proposal/libdd-data-pipeline/20260218-150738
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 89.694µs 89.882µs ± 0.177µs 89.843µs ± 0.049µs 89.898µs 90.043µs 90.434µs 91.713µs 2.08% 6.360 57.540 0.20% 0.013µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [89.857µs; 89.906µs] or [-0.027%; +0.027%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b088ada 1771428069 release-proposal/libdd-data-pipeline/20260218-150738
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 33.951µs 34.707µs ± 1.239µs 34.144µs ± 0.073µs 34.242µs 37.353µs 37.437µs 38.437µs 12.57% 1.698 0.977 3.56% 0.088µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [34.535µs; 34.878µs] or [-0.495%; +0.495%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b088ada 1771428069 release-proposal/libdd-data-pipeline/20260218-150738
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 9.571ms 9.919ms ± 0.090ms 9.937ms ± 0.031ms 9.968ms 10.027ms 10.081ms 10.086ms 1.50% -1.636 3.032 0.91% 0.006ms 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 [9.907ms; 9.932ms] or [-0.126%; +0.126%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b088ada 1771428069 release-proposal/libdd-data-pipeline/20260218-150738
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 4.982µs 5.064µs ± 0.043µs 5.070µs ± 0.042µs 5.092µs 5.132µs 5.136µs 5.137µs 1.32% -0.050 -1.191 0.84% 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 [5.058µs; 5.070µs] or [-0.117%; +0.117%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b088ada 1771428069 release-proposal/libdd-data-pipeline/20260218-150738
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 725.492µs 726.372µs ± 0.485µs 726.295µs ± 0.296µs 726.619µs 727.257µs 727.563µs 728.361µs 0.28% 0.903 1.324 0.07% 0.034µs 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 [726.305µs; 726.439µs] or [-0.009%; +0.009%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b088ada 1771428069 release-proposal/libdd-data-pipeline/20260218-150738
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 48.464ms 48.773ms ± 1.336ms 48.608ms ± 0.043ms 48.646ms 48.731ms 55.988ms 63.111ms 29.83% 8.826 81.155 2.73% 0.094ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching deserializing traces from msgpack to their internal representation execution_time [48.588ms; 48.958ms] or [-0.380%; +0.380%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b088ada 1771428069 release-proposal/libdd-data-pipeline/20260218-150738
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 3.891µs 3.912µs ± 0.003µs 3.911µs ± 0.002µs 3.913µs 3.916µs 3.918µs 3.921µs 0.23% -1.515 13.160 0.07% 0.000µs 1 200
credit_card/is_card_number/ throughput 255064226.908op/s 255655282.910op/s ± 182277.793op/s 255657254.109op/s ± 101711.121op/s 255758946.043op/s 255876734.142op/s 255947642.928op/s 256987068.334op/s 0.52% 1.543 13.373 0.07% 12888.986op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 78.192µs 79.962µs ± 0.816µs 79.920µs ± 0.560µs 80.476µs 81.381µs 82.032µs 82.096µs 2.72% 0.335 -0.046 1.02% 0.058µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12180854.251op/s 12507192.485op/s ± 127239.332op/s 12512501.781op/s ± 87614.856op/s 12600462.712op/s 12702455.400op/s 12774889.936op/s 12789073.016op/s 2.21% -0.279 -0.101 1.01% 8997.179op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 71.537µs 71.846µs ± 0.219µs 71.776µs ± 0.101µs 71.963µs 72.265µs 72.576µs 73.037µs 1.76% 1.722 4.502 0.30% 0.015µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 13691754.786op/s 13918742.920op/s ± 42133.798op/s 13932164.316op/s ± 19697.577op/s 13948111.978op/s 13962766.190op/s 13972096.688op/s 13978859.770op/s 0.34% -1.691 4.300 0.30% 2979.309op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.896µs 3.913µs ± 0.003µs 3.912µs ± 0.001µs 3.914µs 3.918µs 3.919µs 3.920µs 0.21% -0.493 7.503 0.07% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 255076649.285op/s 255583277.840op/s ± 175430.265op/s 255619924.088op/s ± 83001.759op/s 255691800.812op/s 255766696.888op/s 255813186.974op/s 256702110.312op/s 0.42% 0.512 7.621 0.07% 12404.793op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 68.337µs 68.813µs ± 0.303µs 68.774µs ± 0.180µs 68.965µs 69.399µs 69.814µs 69.974µs 1.75% 1.134 1.661 0.44% 0.021µs 1 200
credit_card/is_card_number/378282246310005 throughput 14290945.443op/s 14532361.083op/s ± 63668.683op/s 14540382.254op/s ± 38133.393op/s 14577222.000op/s 14613037.317op/s 14623811.380op/s 14633433.004op/s 0.64% -1.103 1.558 0.44% 4502.056op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 45.442µs 45.702µs ± 0.105µs 45.693µs ± 0.067µs 45.761µs 45.888µs 45.926µs 45.947µs 0.56% 0.126 -0.390 0.23% 0.007µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 21764206.586op/s 21881163.567op/s ± 50257.067op/s 21885001.115op/s ± 32059.240op/s 21915473.424op/s 21963700.708op/s 21986092.247op/s 22006117.902op/s 0.55% -0.115 -0.390 0.23% 3553.711op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.426µs 6.435µs ± 0.004µs 6.435µs ± 0.002µs 6.437µs 6.442µs 6.446µs 6.448µs 0.21% 0.592 1.057 0.05% 0.000µs 1 200
credit_card/is_card_number/x371413321323331 throughput 155075157.822op/s 155393614.314op/s ± 85145.218op/s 155395886.088op/s ± 51502.048op/s 155451257.063op/s 155515464.784op/s 155552122.185op/s 155619023.706op/s 0.14% -0.588 1.048 0.05% 6020.676op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.897µs 3.913µs ± 0.003µs 3.913µs ± 0.002µs 3.915µs 3.918µs 3.921µs 3.930µs 0.44% 0.433 5.420 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 254450267.511op/s 255549268.805op/s ± 212826.861op/s 255569314.631op/s ± 126235.727op/s 255690897.406op/s 255812073.828op/s 255869750.392op/s 256620059.901op/s 0.41% -0.415 5.418 0.08% 15049.132op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 59.965µs 61.900µs ± 1.004µs 61.849µs ± 0.794µs 62.668µs 63.574µs 64.056µs 64.161µs 3.74% 0.156 -0.744 1.62% 0.071µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15585758.381op/s 16159354.736op/s ± 261645.893op/s 16168432.427op/s ± 210353.895op/s 16377172.714op/s 16594846.737op/s 16655946.638op/s 16676424.298op/s 3.14% -0.096 -0.762 1.62% 18501.159op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 53.962µs 54.173µs ± 0.091µs 54.193µs ± 0.058µs 54.242µs 54.292µs 54.331µs 54.337µs 0.27% -0.532 -0.603 0.17% 0.006µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 18403596.441op/s 18459508.943op/s ± 30994.650op/s 18452473.811op/s ± 19608.959op/s 18483019.194op/s 18516742.196op/s 18528982.479op/s 18531479.424op/s 0.43% 0.538 -0.597 0.17% 2191.653op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.897µs 3.912µs ± 0.003µs 3.912µs ± 0.001µs 3.913µs 3.916µs 3.920µs 3.923µs 0.29% -0.091 7.212 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 254903071.039op/s 255625281.782op/s ± 170761.859op/s 255642480.442op/s ± 87383.814op/s 255726013.729op/s 255838591.605op/s 255893642.073op/s 256634431.629op/s 0.39% 0.109 7.273 0.07% 12074.687op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 50.163µs 50.265µs ± 0.074µs 50.249µs ± 0.035µs 50.291µs 50.373µs 50.470µs 50.833µs 1.16% 3.526 21.399 0.15% 0.005µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 19672125.962op/s 19894759.279op/s ± 29188.269op/s 19900954.251op/s ± 13984.942op/s 19910867.358op/s 19924388.953op/s 19931951.199op/s 19935147.659op/s 0.17% -3.478 20.928 0.15% 2063.922op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 45.482µs 45.724µs ± 0.086µs 45.733µs ± 0.060µs 45.788µs 45.859µs 45.891µs 45.947µs 0.47% -0.259 -0.297 0.19% 0.006µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 21764156.839op/s 21870356.088op/s ± 41015.262op/s 21865809.530op/s ± 28495.719op/s 21900078.293op/s 21937006.884op/s 21962858.528op/s 21986616.275op/s 0.55% 0.268 -0.292 0.19% 2900.217op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.428µs 6.436µs ± 0.004µs 6.436µs ± 0.003µs 6.440µs 6.444µs 6.447µs 6.448µs 0.19% 0.422 -0.723 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 155091909.921op/s 155364669.083op/s ± 107162.836op/s 155387530.161op/s ± 83319.867op/s 155448025.676op/s 155513397.261op/s 155543872.640op/s 155559868.877op/s 0.11% -0.420 -0.726 0.07% 7577.557op/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 [255630020.961op/s; 255680544.859op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [79.849µs; 80.075µs] or [-0.141%; +0.141%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12489558.337op/s; 12524826.633op/s] or [-0.141%; +0.141%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [71.816µs; 71.877µs] or [-0.042%; +0.042%] None None None
credit_card/is_card_number/ 378282246310005 throughput [13912903.580op/s; 13924582.259op/s] or [-0.042%; +0.042%] None None None
credit_card/is_card_number/37828224631 execution_time [3.912µs; 3.913µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/37828224631 throughput [255558964.893op/s; 255607590.788op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/378282246310005 execution_time [68.771µs; 68.855µs] or [-0.061%; +0.061%] None None None
credit_card/is_card_number/378282246310005 throughput [14523537.216op/s; 14541184.950op/s] or [-0.061%; +0.061%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [45.687µs; 45.716µs] or [-0.032%; +0.032%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [21874198.421op/s; 21888128.713op/s] or [-0.032%; +0.032%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.435µs; 6.436µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number/x371413321323331 throughput [155381814.006op/s; 155405414.622op/s] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.913µs; 3.914µs] or [-0.012%; +0.012%] None None None
credit_card/is_card_number_no_luhn/ throughput [255519773.049op/s; 255578764.561op/s] or [-0.012%; +0.012%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [61.761µs; 62.039µs] or [-0.225%; +0.225%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [16123093.131op/s; 16195616.340op/s] or [-0.224%; +0.224%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [54.160µs; 54.185µs] or [-0.023%; +0.023%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [18455213.383op/s; 18463804.504op/s] or [-0.023%; +0.023%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.912µs; 3.912µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255601615.830op/s; 255648947.733op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [50.254µs; 50.275µs] or [-0.020%; +0.020%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [19890714.065op/s; 19898804.492op/s] or [-0.020%; +0.020%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [45.712µs; 45.736µs] or [-0.026%; +0.026%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [21864671.767op/s; 21876040.409op/s] or [-0.026%; +0.026%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.436µs; 6.437µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [155349817.345op/s; 155379520.822op/s] or [-0.010%; +0.010%] None None None

Baseline

Omitted due to size.

@dd-octo-sts dd-octo-sts Bot added the release-proposal This is a release proposal PR label Feb 18, 2026
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dd-octo-sts Bot commented Feb 18, 2026 •
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Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 91.61 MB 91.61 MB +0% (+2.10 KB) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 8.38 MB 8.38 MB 0% (0 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 106.31 MB 106.31 MB +0% (+4.16 KB) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 10.76 MB 10.76 MB +0% (+440 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 25.01 MB 25.01 MB +.01% (+3.00 KB) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 75.94 KB 75.94 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 166.58 MB 166.58 MB -0% (-8.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 838.66 MB 838.13 MB --.06% (-545.24 KB) 💪
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 9.57 MB 9.57 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 75.94 KB 75.94 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 23.02 MB 23.02 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 48.42 MB 48.42 MB +0% (+794 B) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 21.09 MB 21.07 MB --.08% (-18.00 KB) 💪
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 77.12 KB 77.12 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 170.36 MB 170.29 MB --.04% (-72.00 KB) 💪
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 824.63 MB 824.66 MB +0% (+32.11 KB) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 7.24 MB 7.24 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 77.12 KB 77.12 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 24.62 MB 24.61 MB --.03% (-8.00 KB) 💪
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 44.15 MB 44.15 MB -0% (-1.89 KB) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 80.15 MB 80.15 MB +0% (+3.87 KB) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 9.87 MB 9.87 MB 0% (0 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 100.25 MB 100.25 MB +0% (+4.77 KB) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.44 MB 11.44 MB -0% (-160 B) 👌

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codecov-commenter commented Feb 18, 2026

Codecov Report

✅ All modified and coverable lines are covered by tests.
⚠️ Please upload report for BASE (release@27bdc6e). Learn more about missing BASE report.

Additional details and impacted files 
@@            Coverage Diff             @@
##             release    #1603   +/-   ##
==========================================
  Coverage           ?   71.05%           
==========================================
  Files              ?      424           
  Lines              ?    62153           
  Branches           ?        0           
==========================================
  Hits               ?    44165           
  Misses             ?    17988           
  Partials           ?        0
Components Coverage Δ
libdd-crashtracker 62.46% <0.00%> (?)
libdd-crashtracker-ffi 16.27% <0.00%> (?)
libdd-alloc 98.77% <0.00%> (?)
libdd-data-pipeline 85.27% <0.00%> (?)
libdd-data-pipeline-ffi 72.26% <0.00%> (?)
libdd-common 80.58% <0.00%> (?)
libdd-common-ffi 73.75% <0.00%> (?)
libdd-telemetry 62.52% <0.00%> (?)
libdd-telemetry-ffi 16.75% <0.00%> (?)
libdd-dogstatsd-client 82.64% <0.00%> (?)
datadog-ipc 80.71% <0.00%> (?)
libdd-profiling 81.37% <0.00%> (?)
libdd-profiling-ffi 63.66% <0.00%> (?)
datadog-sidecar 33.13% <0.00%> (?)
datdog-sidecar-ffi 11.03% <0.00%> (?)
spawn-worker 54.69% <0.00%> (?)
libdd-tinybytes 93.16% <0.00%> (?)
libdd-trace-normalization 81.71% <0.00%> (?)
libdd-trace-obfuscation 94.18% <0.00%> (?)
libdd-trace-protobuf 68.00% <0.00%> (?)
libdd-trace-utils 88.96% <0.00%> (?)
datadog-tracer-flare 88.95% <0.00%> (?)
libdd-log 74.69% <0.00%> (?)
🚀 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.

@hoolioh hoolioh closed this Feb 19, 2026
@hoolioh hoolioh deleted the release-proposal/libdd-data-pipeline/20260218-150738 branch February 19, 2026 13:49
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