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feat(data-pipeline): allow submitting Vec<Vec<Span>> asynchronously#1302

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bengl/async-vec-vec-span
Jan 12, 2026
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feat(data-pipeline): allow submitting Vec<Vec<Span>> asynchronously#1302
dd-mergequeue[bot] merged 1 commit intomainfrom
bengl/async-vec-vec-span

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@bengl bengl commented Nov 3, 2025 •
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What does this PR do?

Title says it all

Motivation

I want to be able to use https://napi.rs's ability to work with tokio directly, rather than just blocking.

Additional notes

This is currently rebased on top of #1266, and should be re-re-based once that's merged.

@bengl bengl requested a review from a team as a code owner November 3, 2025 19:10
@bengl bengl force-pushed the bengl/async-vec-vec-span branch from 27f0ac3 to 6f00810 Compare November 3, 2025 19:11
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pr-commenter bot commented Nov 3, 2025 •
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Benchmarks

Comparison

Benchmark execution time: 2026-01-12 20:48:53

Comparing candidate commit fbf99b1 in PR branch bengl/async-vec-vec-span with baseline commit 50268d8 in branch main.

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 fbf99b1 1768249871 bengl/async-vec-vec-span
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 90.751µs 90.957µs ± 0.129µs 90.942µs ± 0.048µs 90.985µs 91.104µs 91.313µs 92.315µs 1.51% 6.191 60.149 0.14% 0.009µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [90.939µs; 90.975µs] or [-0.020%; +0.020%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz fbf99b1 1768249871 bengl/async-vec-vec-span
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 495.331µs 496.172µs ± 0.708µs 496.092µs ± 0.251µs 496.391µs 496.727µs 497.045µs 504.774µs 1.75% 9.038 107.313 0.14% 0.050µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1981083.732op/s 2015432.319op/s ± 2838.875op/s 2015755.820op/s ± 1018.929op/s 2016625.678op/s 2017748.214op/s 2018292.531op/s 2018850.908op/s 0.15% -8.920 105.410 0.14% 200.739op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 371.457µs 372.109µs ± 0.447µs 372.070µs ± 0.205µs 372.272µs 372.696µs 373.038µs 376.446µs 1.18% 4.735 42.802 0.12% 0.032µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2656426.566op/s 2687388.031op/s ± 3206.768op/s 2687664.101op/s ± 1484.786op/s 2689177.735op/s 2691228.172op/s 2691954.207op/s 2692099.437op/s 0.17% -4.655 41.778 0.12% 226.753op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 169.597µs 169.963µs ± 0.153µs 169.950µs ± 0.095µs 170.062µs 170.239µs 170.373µs 170.419µs 0.28% 0.460 0.164 0.09% 0.011µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5867896.723op/s 5883639.079op/s ± 5295.680op/s 5884072.282op/s ± 3287.735op/s 5887122.235op/s 5891632.746op/s 5893502.698op/s 5896325.862op/s 0.21% -0.454 0.157 0.09% 374.461op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 37.284µs 37.406µs ± 0.094µs 37.399µs ± 0.035µs 37.431µs 37.501µs 37.566µs 38.483µs 2.90% 7.530 83.120 0.25% 0.007µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 25985291.380op/s 26733785.188op/s ± 66211.081op/s 26738819.345op/s ± 25272.945op/s 26764441.770op/s 26793987.183op/s 26812986.750op/s 26821317.844op/s 0.31% -7.318 79.896 0.25% 4681.830op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 46.173µs 46.308µs ± 0.116µs 46.298µs ± 0.044µs 46.343µs 46.407µs 46.434µs 47.693µs 3.01% 8.540 99.673 0.25% 0.008µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 20967588.842op/s 21594448.862op/s ± 52965.259op/s 21599034.606op/s ± 20321.135op/s 21618930.093op/s 21644606.798op/s 21650997.116op/s 21657643.425op/s 0.27% -8.326 96.303 0.24% 3745.209op/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 [496.074µs; 496.271µs] or [-0.020%; +0.020%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [2015038.878op/s; 2015825.760op/s] or [-0.020%; +0.020%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [372.047µs; 372.171µs] or [-0.017%; +0.017%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2686943.604op/s; 2687832.458op/s] or [-0.017%; +0.017%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [169.942µs; 169.984µs] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5882905.148op/s; 5884373.009op/s] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [37.393µs; 37.419µs] or [-0.035%; +0.035%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [26724608.969op/s; 26742961.407op/s] or [-0.034%; +0.034%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [46.292µs; 46.325µs] or [-0.035%; +0.035%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21587108.387op/s; 21601789.338op/s] or [-0.034%; +0.034%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz fbf99b1 1768249871 bengl/async-vec-vec-span
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 17.792µs 26.260µs ± 9.553µs 18.443µs ± 0.191µs 34.282µs 43.778µs 45.119µs 58.809µs 218.87% 0.727 -0.524 36.29% 0.676µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [24.936µs; 27.584µs] or [-5.042%; +5.042%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz fbf99b1 1768249871 bengl/async-vec-vec-span
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 242.500ns 252.886ns ± 13.704ns 246.880ns ± 2.937ns 256.397ns 282.891ns 301.913ns 303.881ns 23.09% 2.033 3.568 5.41% 0.969ns 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 [250.987ns; 254.785ns] or [-0.751%; +0.751%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz fbf99b1 1768249871 bengl/async-vec-vec-span
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 4.918µs 5.006µs ± 0.047µs 4.991µs ± 0.042µs 5.062µs 5.068µs 5.071µs 5.076µs 1.70% 0.059 -1.343 0.93% 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 [5.000µs; 5.013µs] or [-0.130%; +0.130%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz fbf99b1 1768249871 bengl/async-vec-vec-span
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 61.252ms 61.748ms ± 2.329ms 61.461ms ± 0.080ms 61.527ms 61.723ms 75.055ms 83.761ms 36.28% 8.373 70.116 3.76% 0.165ms 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 [61.425ms; 62.071ms] or [-0.523%; +0.523%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz fbf99b1 1768249871 bengl/async-vec-vec-span
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 1.190µs 3.232µs ± 1.435µs 3.009µs ± 0.034µs 3.048µs 3.672µs 14.211µs 14.822µs 392.54% 7.308 54.715 44.30% 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 [3.033µs; 3.431µs] or [-6.155%; +6.155%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz fbf99b1 1768249871 bengl/async-vec-vec-span
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 187.225ns 190.669ns ± 2.403ns 190.268ns ± 1.597ns 191.853ns 195.147ns 198.868ns 199.818ns 5.02% 1.213 1.533 1.26% 0.170ns 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 [190.336ns; 191.002ns] or [-0.175%; +0.175%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz fbf99b1 1768249871 bengl/async-vec-vec-span
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 14.725ms 14.811ms ± 0.036ms 14.804ms ± 0.017ms 14.824ms 14.872ms 14.938ms 15.011ms 1.40% 1.882 6.398 0.24% 0.003ms 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 [14.806ms; 14.816ms] or [-0.034%; +0.034%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz fbf99b1 1768249871 bengl/async-vec-vec-span
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 186.420µs 187.207µs ± 0.700µs 186.940µs ± 0.276µs 187.568µs 188.353µs 189.451µs 190.612µs 1.96% 1.609 3.031 0.37% 0.049µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 5246266.298op/s 5341749.110op/s ± 19847.070op/s 5349319.597op/s ± 7907.684op/s 5356133.860op/s 5360615.148op/s 5362958.366op/s 5364234.903op/s 0.28% -1.582 2.876 0.37% 1403.400op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 17.630µs 18.036µs ± 0.217µs 18.175µs ± 0.050µs 18.203µs 18.247µs 18.263µs 18.333µs 0.87% -0.541 -1.562 1.20% 0.015µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 54546046.260op/s 55452497.113op/s ± 670950.241op/s 55020836.300op/s ± 151581.861op/s 56245860.583op/s 56469903.197op/s 56575533.246op/s 56720280.837op/s 3.09% 0.546 -1.555 1.21% 47443.347op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.161µs 10.200µs ± 0.022µs 10.196µs ± 0.012µs 10.211µs 10.243µs 10.260µs 10.273µs 0.76% 0.930 0.618 0.21% 0.002µs 1 200
normalization/normalize_name/normalize_name/good throughput 97342548.428op/s 98035269.122op/s ± 207757.353op/s 98081867.895op/s ± 117813.269op/s 98184954.425op/s 98289330.074op/s 98385496.286op/s 98418738.928op/s 0.34% -0.918 0.593 0.21% 14690.663op/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 [187.110µs; 187.304µs] or [-0.052%; +0.052%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [5338998.497op/s; 5344499.724op/s] or [-0.051%; +0.051%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [18.006µs; 18.066µs] or [-0.167%; +0.167%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [55359509.862op/s; 55545484.363op/s] or [-0.168%; +0.168%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.197µs; 10.203µs] or [-0.029%; +0.029%] None None None
normalization/normalize_name/normalize_name/good throughput [98006475.950op/s; 98064062.293op/s] or [-0.029%; +0.029%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz fbf99b1 1768249871 bengl/async-vec-vec-span
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 2.424µs 2.451µs ± 0.010µs 2.450µs ± 0.007µs 2.457µs 2.470µs 2.474µs 2.476µs 1.07% 0.269 0.017 0.41% 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 [2.450µs; 2.452µs] or [-0.057%; +0.057%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz fbf99b1 1768249871 bengl/async-vec-vec-span
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 9.620ms 9.916ms ± 0.074ms 9.924ms ± 0.033ms 9.957ms 9.998ms 10.038ms 10.151ms 2.29% -1.417 4.395 0.75% 0.005ms 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 [9.905ms; 9.926ms] or [-0.104%; +0.104%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz fbf99b1 1768249871 bengl/async-vec-vec-span
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 33.965µs 34.496µs ± 0.854µs 34.117µs ± 0.050µs 34.176µs 36.302µs 36.338µs 37.742µs 10.63% 1.771 1.411 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 [34.377µs; 34.614µs] or [-0.343%; +0.343%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz fbf99b1 1768249871 bengl/async-vec-vec-span
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 10.560ms 10.594ms ± 0.015ms 10.593ms ± 0.009ms 10.601ms 10.618ms 10.627ms 10.682ms 0.84% 1.530 6.659 0.14% 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 [10.592ms; 10.596ms] or [-0.020%; +0.020%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz fbf99b1 1768249871 bengl/async-vec-vec-span
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 529.556µs 530.440µs ± 0.508µs 530.361µs ± 0.214µs 530.597µs 531.077µs 531.530µs 535.403µs 0.95% 4.935 44.096 0.10% 0.036µs 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 [530.370µs; 530.511µs] or [-0.013%; +0.013%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz fbf99b1 1768249871 bengl/async-vec-vec-span
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 161.237µs 161.928µs ± 0.346µs 161.860µs ± 0.123µs 162.029µs 162.383µs 163.083µs 164.852µs 1.85% 4.074 27.692 0.21% 0.024µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching string interning on wordpress profile execution_time [161.880µs; 161.976µs] or [-0.030%; +0.030%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz fbf99b1 1768249871 bengl/async-vec-vec-span
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 144.659µs 146.775µs ± 1.885µs 146.534µs ± 0.580µs 147.115µs 148.362µs 153.912µs 165.709µs 13.09% 6.325 54.513 1.28% 0.133µs 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 [146.514µs; 147.036µs] or [-0.178%; +0.178%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz fbf99b1 1768249871 bengl/async-vec-vec-span
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 3.911µs ± 0.002µs 3.913µs 3.916µs 3.918µs 3.925µs 0.36% -0.655 10.226 0.07% 0.000µs 1 200
credit_card/is_card_number/ throughput 254747016.885op/s 255649921.348op/s ± 186854.801op/s 255662443.199op/s ± 104410.453op/s 255754859.421op/s 255885831.999op/s 255949323.563op/s 256876365.315op/s 0.47% 0.681 10.334 0.07% 13212.630op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 80.217µs 81.916µs ± 0.611µs 81.990µs ± 0.424µs 82.381µs 82.821µs 82.993µs 83.518µs 1.86% -0.316 -0.283 0.74% 0.043µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 11973480.899op/s 12208263.471op/s ± 91290.997op/s 12196567.341op/s ± 63106.181op/s 12265265.138op/s 12363545.204op/s 12445397.263op/s 12466219.865op/s 2.21% 0.352 -0.248 0.75% 6455.248op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 74.370µs 74.918µs ± 0.134µs 74.913µs ± 0.069µs 74.986µs 75.119µs 75.211µs 75.485µs 0.76% -0.083 2.750 0.18% 0.009µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 13247602.233op/s 13347998.216op/s ± 23822.555op/s 13348900.410op/s ± 12381.197op/s 13360799.415op/s 13384722.020op/s 13416297.160op/s 13446253.768op/s 0.73% 0.109 2.755 0.18% 1684.509op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.892µs 3.911µs ± 0.003µs 3.911µs ± 0.002µs 3.913µs 3.916µs 3.917µs 3.918µs 0.17% -1.603 10.937 0.07% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 255232592.813op/s 255658580.240op/s ± 184863.562op/s 255661462.999op/s ± 109295.927op/s 255758047.084op/s 255912149.081op/s 256009136.149op/s 256965293.191op/s 0.51% 1.626 11.121 0.07% 13071.828op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 71.413µs 72.091µs ± 0.222µs 72.097µs ± 0.103µs 72.167µs 72.382µs 72.592µs 73.562µs 2.03% 2.519 16.719 0.31% 0.016µs 1 200
credit_card/is_card_number/378282246310005 throughput 13593911.336op/s 13871391.130op/s ± 42343.589op/s 13870222.717op/s ± 19867.911op/s 13893013.903op/s 13924945.014op/s 13968933.517op/s 14003134.486op/s 0.96% -2.407 15.951 0.30% 2994.144op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 52.128µs 52.203µs ± 0.032µs 52.199µs ± 0.021µs 52.221µs 52.258µs 52.314µs 52.326µs 0.24% 0.787 1.191 0.06% 0.002µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 19110984.855op/s 19156014.897op/s ± 11845.209op/s 19157526.805op/s ± 7576.278op/s 19164602.500op/s 19172032.798op/s 19176582.957op/s 19183667.026op/s 0.14% -0.782 1.177 0.06% 837.583op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 5.762µs 5.910µs ± 0.050µs 5.913µs ± 0.041µs 5.954µs 5.982µs 6.004µs 6.006µs 1.57% -0.259 -0.571 0.84% 0.004µs 1 200
credit_card/is_card_number/x371413321323331 throughput 166505711.146op/s 169224974.715op/s ± 1436879.047op/s 169121336.489op/s ± 1163539.851op/s 170275799.950op/s 171720407.696op/s 172400847.640op/s 173537110.398op/s 2.61% 0.294 -0.536 0.85% 101602.692op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.894µs 3.912µs ± 0.003µs 3.912µs ± 0.002µs 3.914µs 3.917µs 3.919µs 3.921µs 0.24% -0.614 4.939 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 255034538.379op/s 255624742.402op/s ± 204223.705op/s 255643208.884op/s ± 115804.869op/s 255742088.755op/s 255910072.742op/s 255978330.368op/s 256819605.068op/s 0.46% 0.630 5.023 0.08% 14440.797op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 64.068µs 64.290µs ± 0.102µs 64.278µs ± 0.046µs 64.326µs 64.435µs 64.707µs 64.897µs 0.96% 2.325 10.604 0.16% 0.007µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15409089.091op/s 15554463.859op/s ± 24484.675op/s 15557510.882op/s ± 11219.002op/s 15567811.992op/s 15584228.608op/s 15595701.762op/s 15608422.305op/s 0.33% -2.291 10.387 0.16% 1731.328op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 57.355µs 57.507µs ± 0.101µs 57.484µs ± 0.061µs 57.550µs 57.698µs 57.836µs 57.869µs 0.67% 1.290 1.741 0.18% 0.007µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 17280349.135op/s 17389261.717op/s ± 30564.107op/s 17396051.966op/s ± 18360.698op/s 17410133.568op/s 17422690.558op/s 17431023.143op/s 17435123.055op/s 0.22% -1.279 1.704 0.18% 2161.209op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.892µs 3.912µs ± 0.003µs 3.911µs ± 0.002µs 3.913µs 3.916µs 3.918µs 3.921µs 0.24% -1.056 9.469 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 255048020.745op/s 255654700.483op/s ± 187128.459op/s 255667594.184op/s ± 118708.138op/s 255768027.948op/s 255883042.097op/s 255957098.040op/s 256918513.124op/s 0.49% 1.079 9.622 0.07% 13231.980op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 54.583µs 54.792µs ± 0.171µs 54.755µs ± 0.089µs 54.856µs 55.097µs 55.415µs 55.712µs 1.75% 1.870 5.115 0.31% 0.012µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 17949584.619op/s 18251172.960op/s ± 56742.167op/s 18263046.552op/s ± 29613.336op/s 18291110.520op/s 18310541.563op/s 18315100.641op/s 18320808.775op/s 0.32% -1.836 4.912 0.31% 4012.277op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 52.134µs 52.202µs ± 0.036µs 52.200µs ± 0.020µs 52.218µs 52.262µs 52.298µs 52.438µs 0.46% 1.747 8.338 0.07% 0.003µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 19070198.693op/s 19156527.294op/s ± 13252.174op/s 19157266.843op/s ± 7219.740op/s 19164961.660op/s 19174636.654op/s 19180537.719op/s 19181256.077op/s 0.13% -1.732 8.224 0.07% 937.070op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 5.769µs 5.909µs ± 0.052µs 5.903µs ± 0.037µs 5.950µs 5.998µs 6.032µs 6.033µs 2.20% 0.080 -0.450 0.88% 0.004µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 165759842.628op/s 169236689.824op/s ± 1499007.418op/s 169398944.385op/s ± 1064196.253op/s 170435183.677op/s 171608299.042op/s 172381164.769op/s 173333493.333op/s 2.32% -0.039 -0.452 0.88% 105995.831op/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 [255624025.069op/s; 255675817.626op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [81.832µs; 82.001µs] or [-0.103%; +0.103%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12195611.416op/s; 12220915.525op/s] or [-0.104%; +0.104%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [74.899µs; 74.936µs] or [-0.025%; +0.025%] None None None
credit_card/is_card_number/ 378282246310005 throughput [13344696.639op/s; 13351299.793op/s] or [-0.025%; +0.025%] None None None
credit_card/is_card_number/37828224631 execution_time [3.911µs; 3.912µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/37828224631 throughput [255632959.928op/s; 255684200.552op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/378282246310005 execution_time [72.061µs; 72.122µs] or [-0.043%; +0.043%] None None None
credit_card/is_card_number/378282246310005 throughput [13865522.716op/s; 13877259.544op/s] or [-0.042%; +0.042%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [52.198µs; 52.207µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [19154373.265op/s; 19157656.529op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/x371413321323331 execution_time [5.903µs; 5.917µs] or [-0.117%; +0.117%] None None None
credit_card/is_card_number/x371413321323331 throughput [169025837.098op/s; 169424112.332op/s] or [-0.118%; +0.118%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.912µs; 3.912µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/ throughput [255596438.961op/s; 255653045.844op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [64.276µs; 64.304µs] or [-0.022%; +0.022%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15551070.518op/s; 15557857.199op/s] or [-0.022%; +0.022%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [57.493µs; 57.521µs] or [-0.024%; +0.024%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [17385025.826op/s; 17393497.608op/s] or [-0.024%; +0.024%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.911µs; 3.912µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255628766.278op/s; 255680634.687op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [54.768µs; 54.815µs] or [-0.043%; +0.043%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [18243309.041op/s; 18259036.879op/s] or [-0.043%; +0.043%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [52.197µs; 52.207µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [19154690.670op/s; 19158363.918op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [5.902µs; 5.917µs] or [-0.123%; +0.123%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [169028941.813op/s; 169444437.836op/s] or [-0.123%; +0.123%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz fbf99b1 1768249871 bengl/async-vec-vec-span
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 3.963ms 3.972ms ± 0.007ms 3.971ms ± 0.003ms 3.974ms 3.977ms 3.979ms 4.053ms 2.06% 8.726 102.220 0.17% 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 [3.971ms; 3.973ms] or [-0.024%; +0.024%] None None None

Baseline

Omitted due to size.

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datadog-official bot commented Nov 3, 2025 •
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✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: fbf99b1 | Docs | Datadog PR Page | Was this helpful? Give us feedback!

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codecov-commenter commented Nov 3, 2025 •
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Codecov Report

❌ Patch coverage is 52.63158% with 9 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.30%. Comparing base (50268d8) to head (fbf99b1).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #1302      +/-   ##
==========================================
+ Coverage   71.29%   71.30%   +0.01%     
==========================================
  Files         413      413              
  Lines       66148    66155       +7     
==========================================
+ Hits        47159    47173      +14     
+ Misses      18989    18982       -7
Components Coverage Δ
libdd-crashtracker 58.67% <ø> (+0.01%) ⬆️
libdd-crashtracker-ffi 14.37% <ø> (ø)
libdd-alloc 98.73% <ø> (ø)
libdd-data-pipeline 86.04% <52.63%> (-0.14%) ⬇️
libdd-data-pipeline-ffi 77.01% <ø> (ø)
libdd-common 81.11% <ø> (ø)
libdd-common-ffi 74.19% <ø> (ø)
libdd-telemetry 59.95% <ø> (ø)
libdd-telemetry-ffi 21.17% <ø> (ø)
libdd-dogstatsd-client 83.75% <ø> (ø)
datadog-ipc 82.61% <ø> (ø)
libdd-profiling 81.06% <ø> (ø)
libdd-profiling-ffi 62.43% <ø> (ø)
datadog-sidecar 35.99% <ø> (ø)
datdog-sidecar-ffi 11.46% <ø> (ø)
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% <ø> (ø)
libdd-trace-utils 89.74% <ø> (ø)
datadog-tracer-flare 61.06% <ø> (ø)
libdd-log 75.57% <ø> (ø)
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Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 7.32 MB 7.32 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 84.53 MB 84.54 MB +.01% (+11.18 KB) 🔍
aarch64-apple-darwin
Artifact Baseline Commit Change
/aarch64-apple-darwin/lib/libdatadog_profiling.a 56.91 MB 56.91 MB +0% (+5.49 KB) 👌
/aarch64-apple-darwin/lib/libdatadog_profiling.dylib 8.30 MB 8.30 MB +0% (+208 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 98.09 MB 98.10 MB +0% (+8.09 KB) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 9.36 MB 9.36 MB +0% (+496 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 18.93 MB 18.93 MB +0% (+1.50 KB) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 65.49 KB 65.49 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 133.23 MB 133.23 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 712.21 MB 712.34 MB +.01% (+135.78 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 6.18 MB 6.19 MB +.03% (+2.50 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 65.49 KB 65.49 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 19.26 MB 19.26 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 37.83 MB 37.84 MB +.01% (+4.95 KB) 🔍
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 16.08 MB 16.08 MB +0% (+512 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 66.50 KB 66.50 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 135.48 MB 135.48 MB -0% (-8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 700.71 MB 700.84 MB +.01% (+134.58 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 4.74 MB 4.74 MB +.02% (+1.00 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 66.50 KB 66.50 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 20.44 MB 20.44 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 35.60 MB 35.61 MB +.01% (+4.48 KB) 🔍
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 72.98 MB 72.98 MB +0% (+1.42 KB) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 8.71 MB 8.71 MB 0% (0 B) 👌
x86_64-apple-darwin
Artifact Baseline Commit Change
/x86_64-apple-darwin/lib/libdatadog_profiling.a 58.38 MB 58.38 MB +0% (+1.57 KB) 👌
/x86_64-apple-darwin/lib/libdatadog_profiling.dylib 9.36 MB 9.37 MB +0% (+352 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 92.47 MB 92.47 MB +0% (+1.51 KB) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 10.10 MB 10.10 MB +0% (+384 B) 👌

@bengl bengl force-pushed the bengl/async-vec-vec-span branch from 6f00810 to 3e4c8ac Compare November 3, 2025 20:02
@bengl bengl requested review from a team as code owners November 3, 2025 20:02
ekump
ekump reviewed Nov 4, 2025
View reviewed changes
datadog-sidecar-ffi/src/span.rs
#[no_mangle]
pub extern "C" fn ddog_set_span_trace_id(span: &mut SpanBytes, value: u64) {
span.trace_id = value;
span.trace_id = value as u128;
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What is the benefit of making trace_id u128 internally if we can only accept u64 as input?

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protocol v1 will be u128, so it will happen sooner or later.

ekump
ekump reviewed Nov 4, 2025
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datadog-sidecar/src/unix.rs Outdated
#[cfg(target_os = "linux")]
if let Err(e) = init_crashtracker(trampoline_data.dependency_paths) {
warn!("Failed to initialize crashtracker: {e}");
tracing::warn!("Failed to initialize crashtracker: {e}");
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style nit: why not include warn in the import on line 23?

VianneyRuhlmann
VianneyRuhlmann approved these changes Nov 6, 2025
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LGTM

datadog-trace-utils/src/span/v05/dict.rs
(*index).try_into()
pub fn get_or_insert(&mut self, s: T) -> Result<u32, std::num::TryFromIntError> {
if let Some(index) = self.map.get_index_of(s.borrow()) {
(index).try_into()
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Suggested change
(index).try_into()
index.try_into()

libdd-data-pipeline/src/trace_exporter/mod.rs
.block_on(async { self.send_trace_chunks_inner(trace_chunks).await })
}

pub async fn send_trace_chunks_async<T: SpanText>(
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We try to keep all public functions documented with rustdoc

@bengl bengl force-pushed the bengl/async-vec-vec-span branch 2 times, most recently from 326e055 to 699b3a0 Compare November 17, 2025 21:44
@bengl bengl force-pushed the bengl/async-vec-vec-span branch from 699b3a0 to fbf99b1 Compare January 12, 2026 20:32
@bengl bengl changed the title Allow submitting Vec<Vec<Span>> asynchronously feat(data-pipeline): allow submitting Vec<Vec<Span>> asynchronously Jan 12, 2026
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bengl commented Jan 12, 2026

/merge

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dd-devflow-routing-codex bot commented Jan 12, 2026 •
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2026-01-12 20:42:03 UTC ℹ️ Start processing command /merge

2026-01-12 20:42:10 UTC ℹ️ MergeQueue: waiting for PR to be ready

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2026-01-12 20:52:54 UTC ℹ️ MergeQueue: merge request added to the queue

The expected merge time in main is approximately 28m (p90).

2026-01-12 21:18:29 UTC ℹ️ MergeQueue: This merge request was merged

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@dd-octo-sts
chore(release): proposal for libdd-data-pipeline (#1623)
47eb5f8 
# 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>
dd-octo-sts bot added a commit that referenced this pull request Feb 25, 2026
@dd-octo-sts
chore(release): proposal for libdd-data-pipeline (#1623)
144f58b 
# 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>
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