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[crashtracker] Improve crashtracker receiver performance #1212

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@gleocadie gleocadie commented Sep 11, 2025 •
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What does this PR do?

A brief description of the change being made with this pull request.

Motivation

What inspired you to submit this pull request?

receiver_entry_point/report/2598
                        time:   [1.1760 ms 1.1926 ms 1.2122 ms]
                        change: [-6.6611% -5.1212% -3.4009%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 12 outliers among 200 measurements (6.00%)
  6 (3.00%) high mild
  6 (3.00%) high severe

Additional Notes

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How to test the change?

Describe here in detail how the change can be validated.

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Benchmarks

Comparison

Benchmark execution time: 2025-09-17 07:29:49

Comparing candidate commit 75dbfe7 in PR branch gleocadie/optimize-receiver-in-crashtracker with baseline commit 6e9fc38 in branch main.

Found 0 performance improvements and 1 performance regressions! Performance is the same for 52 metrics, 2 unstable metrics.

scenario:ip_address/quantize_peer_ip_address_benchmark

  • 🟥 execution_time [+484.970ns; +499.870ns] or [+9.554%; +9.847%]

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 75dbfe7 1758093397 gleocadie/optimize-receiver-in-crashtracker
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 2.390µs 2.431µs ± 0.022µs 2.425µs ± 0.007µs 2.434µs 2.486µs 2.513µs 2.519µs 3.88% 2.046 4.601 0.89% 0.002µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
tags/replace_trace_tags execution_time [2.428µs; 2.434µs] or [-0.123%; +0.123%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 75dbfe7 1758093397 gleocadie/optimize-receiver-in-crashtracker
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 5.497µs 5.569µs ± 0.043µs 5.568µs ± 0.034µs 5.601µs 5.641µs 5.666µs 5.679µs 1.99% 0.373 -0.685 0.78% 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 [5.563µs; 5.575µs] or [-0.108%; +0.108%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 75dbfe7 1758093397 gleocadie/optimize-receiver-in-crashtracker
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 33.077µs 33.830µs ± 1.018µs 33.217µs ± 0.083µs 34.665µs 35.575µs 35.615µs 36.618µs 10.24% 1.020 -0.781 3.00% 0.072µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [33.689µs; 33.971µs] or [-0.417%; +0.417%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 75dbfe7 1758093397 gleocadie/optimize-receiver-in-crashtracker
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
concentrator/add_spans_to_concentrator execution_time 8.139ms 8.159ms ± 0.012ms 8.157ms ± 0.007ms 8.165ms 8.182ms 8.202ms 8.215ms 0.72% 1.749 5.065 0.15% 0.001ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
concentrator/add_spans_to_concentrator execution_time [8.157ms; 8.161ms] or [-0.020%; +0.020%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 75dbfe7 1758093397 gleocadie/optimize-receiver-in-crashtracker
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 185.329µs 185.924µs ± 0.290µs 185.901µs ± 0.202µs 186.128µs 186.324µs 186.508µs 187.712µs 0.97% 1.185 5.697 0.16% 0.021µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 5327304.955op/s 5378550.622op/s ± 8385.814op/s 5379199.617op/s ± 5836.657op/s 5384401.873op/s 5390247.961op/s 5392825.882op/s 5395805.247op/s 0.31% -1.156 5.492 0.16% 592.967op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 17.989µs 18.089µs ± 0.051µs 18.089µs ± 0.038µs 18.125µs 18.173µs 18.197µs 18.277µs 1.04% 0.375 0.129 0.28% 0.004µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 54712492.747op/s 55282444.955op/s ± 155489.878op/s 55283345.864op/s ± 117300.702op/s 55406053.641op/s 55525239.611op/s 55549453.156op/s 55590409.860op/s 0.56% -0.358 0.090 0.28% 10994.795op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.333µs 10.453µs ± 0.042µs 10.449µs ± 0.029µs 10.483µs 10.523µs 10.542µs 10.558µs 1.04% 0.080 -0.380 0.40% 0.003µs 1 200
normalization/normalize_name/normalize_name/good throughput 94715179.973op/s 95663959.420op/s ± 381379.654op/s 95700856.574op/s ± 268363.483op/s 95940063.631op/s 96245997.810op/s 96496877.680op/s 96781430.869op/s 1.13% -0.061 -0.371 0.40% 26967.614op/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 [185.884µs; 185.964µs] or [-0.022%; +0.022%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [5377388.429op/s; 5379712.815op/s] or [-0.022%; +0.022%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [18.082µs; 18.096µs] or [-0.039%; +0.039%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [55260895.553op/s; 55303994.357op/s] or [-0.039%; +0.039%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.448µs; 10.459µs] or [-0.055%; +0.055%] None None None
normalization/normalize_name/normalize_name/good throughput [95611103.868op/s; 95716814.973op/s] or [-0.055%; +0.055%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 75dbfe7 1758093397 gleocadie/optimize-receiver-in-crashtracker
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 60.552ms 61.005ms ± 1.882ms 60.685ms ± 0.069ms 60.820ms 61.239ms 72.816ms 77.628ms 27.92% 8.067 64.986 3.08% 0.133ms 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 [60.744ms; 61.266ms] or [-0.427%; +0.427%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 75dbfe7 1758093397 gleocadie/optimize-receiver-in-crashtracker
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 86.314µs 86.612µs ± 0.278µs 86.580µs ± 0.065µs 86.656µs 86.786µs 87.076µs 90.212µs 4.20% 10.989 139.349 0.32% 0.020µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [86.574µs; 86.651µs] or [-0.044%; +0.044%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 75dbfe7 1758093397 gleocadie/optimize-receiver-in-crashtracker
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 239.568ns 250.986ns ± 12.580ns 246.306ns ± 4.384ns 252.894ns 283.672ns 287.598ns 290.193ns 17.82% 1.687 1.857 5.00% 0.890ns 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 [249.242ns; 252.730ns] or [-0.695%; +0.695%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 75dbfe7 1758093397 gleocadie/optimize-receiver-in-crashtracker
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 158.971µs 159.771µs ± 0.269µs 159.742µs ± 0.136µs 159.889µs 160.301µs 160.573µs 160.674µs 0.58% 0.417 1.607 0.17% 0.019µs 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 [159.734µs; 159.809µs] or [-0.023%; +0.023%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 75dbfe7 1758093397 gleocadie/optimize-receiver-in-crashtracker
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 1.218µs 3.213µs ± 1.419µs 3.001µs ± 0.029µs 3.027µs 3.689µs 13.812µs 14.895µs 396.27% 7.297 54.662 44.04% 0.100µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [3.017µs; 3.410µs] or [-6.119%; +6.119%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 75dbfe7 1758093397 gleocadie/optimize-receiver-in-crashtracker
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 3.896µs 3.911µs ± 0.003µs 3.911µs ± 0.002µs 3.913µs 3.916µs 3.917µs 3.921µs 0.25% -0.526 6.695 0.07% 0.000µs 1 200
credit_card/is_card_number/ throughput 255023295.685op/s 255659027.656op/s ± 171148.957op/s 255673128.755op/s ± 99765.220op/s 255756196.030op/s 255876161.782op/s 255944424.943op/s 256705824.763op/s 0.40% 0.542 6.779 0.07% 12102.059op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 76.631µs 78.198µs ± 0.698µs 78.167µs ± 0.476µs 78.631µs 79.362µs 79.706µs 80.468µs 2.94% 0.272 -0.250 0.89% 0.049µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12427287.021op/s 12788982.762op/s ± 113853.219op/s 12793103.895op/s ± 78414.782op/s 12874025.353op/s 12962993.308op/s 13016854.105op/s 13049603.685op/s 2.00% -0.227 -0.294 0.89% 8050.638op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 69.834µs 71.189µs ± 0.660µs 71.151µs ± 0.429µs 71.577µs 72.295µs 72.935µs 73.404µs 3.17% 0.464 0.281 0.92% 0.047µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 13623146.286op/s 14048377.095op/s ± 129712.885op/s 14054569.308op/s ± 84583.756op/s 14142037.576op/s 14245948.994op/s 14297674.485op/s 14319730.537op/s 1.89% -0.408 0.189 0.92% 9172.086op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.891µs 3.913µs ± 0.003µs 3.912µs ± 0.002µs 3.915µs 3.918µs 3.919µs 3.920µs 0.20% -1.232 9.449 0.08% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 255077152.609op/s 255581155.151op/s ± 205435.705op/s 255593021.547op/s ± 140325.287op/s 255727298.891op/s 255815133.445op/s 255881749.249op/s 256990555.170op/s 0.55% 1.256 9.633 0.08% 14526.498op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 66.957µs 68.397µs ± 0.644µs 68.362µs ± 0.486µs 68.822µs 69.462µs 69.832µs 70.167µs 2.64% 0.204 -0.445 0.94% 0.046µs 1 200
credit_card/is_card_number/378282246310005 throughput 14251632.248op/s 14621826.306op/s ± 137481.596op/s 14628034.011op/s ± 104566.871op/s 14732537.936op/s 14842953.375op/s 14901932.245op/s 14934899.080op/s 2.10% -0.162 -0.468 0.94% 9721.417op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 52.151µs 52.207µs ± 0.030µs 52.206µs ± 0.022µs 52.226µs 52.256µs 52.285µs 52.297µs 0.17% 0.399 -0.152 0.06% 0.002µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 19121563.347op/s 19154630.859op/s ± 10874.395op/s 19154776.530op/s ± 8148.322op/s 19163304.667op/s 19171373.401op/s 19174124.021op/s 19174988.145op/s 0.11% -0.396 -0.156 0.06% 768.936op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.028µs 6.036µs ± 0.005µs 6.036µs ± 0.003µs 6.039µs 6.043µs 6.049µs 6.069µs 0.55% 2.401 12.826 0.08% 0.000µs 1 200
credit_card/is_card_number/x371413321323331 throughput 164770726.702op/s 165666275.764op/s ± 139652.610op/s 165672142.524op/s ± 85702.564op/s 165764360.670op/s 165830147.104op/s 165862283.620op/s 165893563.970op/s 0.13% -2.378 12.649 0.08% 9874.931op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.896µs 3.912µs ± 0.003µs 3.912µs ± 0.002µs 3.914µs 3.917µs 3.918µs 3.920µs 0.20% -0.769 5.847 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 255099444.887op/s 255596355.771op/s ± 178620.195op/s 255598578.484op/s ± 121278.170op/s 255716749.451op/s 255837560.020op/s 255879711.518op/s 256691651.187op/s 0.43% 0.784 5.941 0.07% 12630.355op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 64.155µs 64.448µs ± 0.152µs 64.419µs ± 0.101µs 64.546µs 64.705µs 64.855µs 64.938µs 0.81% 0.693 0.293 0.24% 0.011µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15399249.227op/s 15516356.142op/s ± 36501.618op/s 15523379.734op/s ± 24289.923op/s 15542566.719op/s 15566930.873op/s 15577672.757op/s 15587220.038op/s 0.41% -0.680 0.267 0.23% 2581.054op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 58.124µs 58.381µs ± 0.154µs 58.355µs ± 0.090µs 58.458µs 58.641µs 58.925µs 59.148µs 1.36% 1.455 3.845 0.26% 0.011µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 16906641.623op/s 17128982.675op/s ± 44934.538op/s 17136585.534op/s ± 26512.159op/s 17161008.275op/s 17187522.109op/s 17193046.169op/s 17204668.929op/s 0.40% -1.425 3.697 0.26% 3177.352op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.896µs 3.912µs ± 0.002µs 3.911µs ± 0.001µs 3.913µs 3.916µs 3.917µs 3.919µs 0.20% -0.789 7.360 0.06% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 255151418.292op/s 255654180.952op/s ± 160652.574op/s 255667560.153op/s ± 93543.794op/s 255746958.620op/s 255855410.225op/s 255928276.131op/s 256678563.323op/s 0.40% 0.806 7.461 0.06% 11359.852op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 54.574µs 54.766µs ± 0.165µs 54.724µs ± 0.061µs 54.801µs 55.066µs 55.538µs 55.769µs 1.91% 3.068 13.677 0.30% 0.012µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 17931243.968op/s 18259523.620op/s ± 54486.885op/s 18273524.405op/s ± 20247.481op/s 18291764.134op/s 18309767.438op/s 18318159.547op/s 18323881.515op/s 0.28% -3.012 13.228 0.30% 3852.805op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 52.140µs 52.211µs ± 0.034µs 52.208µs ± 0.018µs 52.231µs 52.270µs 52.288µs 52.410µs 0.39% 1.261 4.960 0.06% 0.002µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 19080352.831op/s 19152888.095op/s ± 12464.522op/s 19154331.286op/s ± 6723.926op/s 19160578.547op/s 19170498.999op/s 19175656.332op/s 19179129.272op/s 0.13% -1.251 4.896 0.06% 881.375op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.028µs 6.036µs ± 0.006µs 6.035µs ± 0.003µs 6.039µs 6.043µs 6.061µs 6.077µs 0.70% 3.085 16.855 0.09% 0.000µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 164554421.760op/s 165677620.000op/s ± 157113.657op/s 165709456.353op/s ± 83239.660op/s 165778838.353op/s 165846590.453op/s 165882528.881op/s 165888850.068op/s 0.11% -3.059 16.622 0.09% 11109.613op/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 [-0.009%; +0.009%] None None None
credit_card/is_card_number/ throughput [255635308.056op/s; 255682747.255op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [78.102µs; 78.295µs] or [-0.124%; +0.124%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12773203.801op/s; 12804761.724op/s] or [-0.123%; +0.123%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [71.097µs; 71.280µs] or [-0.128%; +0.128%] None None None
credit_card/is_card_number/ 378282246310005 throughput [14030400.136op/s; 14066354.053op/s] or [-0.128%; +0.128%] None None None
credit_card/is_card_number/37828224631 execution_time [3.912µs; 3.913µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/37828224631 throughput [255552683.738op/s; 255609626.564op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/378282246310005 execution_time [68.308µs; 68.486µs] or [-0.131%; +0.131%] None None None
credit_card/is_card_number/378282246310005 throughput [14602772.679op/s; 14640879.933op/s] or [-0.130%; +0.130%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [52.203µs; 52.211µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [19153123.772op/s; 19156137.946op/s] or [-0.008%; +0.008%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.036µs; 6.037µs] or [-0.012%; +0.012%] None None None
credit_card/is_card_number/x371413321323331 throughput [165646921.255op/s; 165685630.273op/s] or [-0.012%; +0.012%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.912µs; 3.913µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/ throughput [255571600.730op/s; 255621110.812op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [64.427µs; 64.470µs] or [-0.033%; +0.033%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15511297.369op/s; 15521414.915op/s] or [-0.033%; +0.033%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [58.360µs; 58.402µs] or [-0.036%; +0.036%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [17122755.180op/s; 17135210.170op/s] or [-0.036%; +0.036%] 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 [255631916.050op/s; 255676445.853op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [54.744µs; 54.789µs] or [-0.042%; +0.042%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [18251972.262op/s; 18267074.978op/s] or [-0.041%; +0.041%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [52.207µs; 52.216µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [19151160.633op/s; 19154615.558op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.035µs; 6.037µs] or [-0.013%; +0.013%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [165655845.558op/s; 165699394.441op/s] or [-0.013%; +0.013%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 75dbfe7 1758093397 gleocadie/optimize-receiver-in-crashtracker
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 17.918µs 26.649µs ± 10.885µs 18.069µs ± 0.092µs 36.229µs 46.313µs 50.145µs 78.970µs 337.04% 1.095 1.549 40.75% 0.770µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [25.140µs; 28.157µs] or [-5.661%; +5.661%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 75dbfe7 1758093397 gleocadie/optimize-receiver-in-crashtracker
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 5.997ms 6.038ms ± 0.022ms 6.034ms ± 0.012ms 6.049ms 6.074ms 6.103ms 6.170ms 2.26% 1.634 6.568 0.36% 0.002ms 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 [6.035ms; 6.041ms] or [-0.050%; +0.050%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 75dbfe7 1758093397 gleocadie/optimize-receiver-in-crashtracker
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 533.771µs 534.969µs ± 1.002µs 534.665µs ± 0.375µs 535.125µs 537.188µs 538.640µs 539.840µs 0.97% 2.029 4.566 0.19% 0.071µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1852399.500op/s 1869273.010op/s ± 3488.277op/s 1870331.666op/s ± 1311.378op/s 1871522.821op/s 1872383.413op/s 1872982.574op/s 1873464.241op/s 0.17% -2.015 4.487 0.19% 246.658op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 380.212µs 380.857µs ± 0.308µs 380.836µs ± 0.204µs 381.051µs 381.405µs 381.488µs 381.753µs 0.24% 0.261 -0.341 0.08% 0.022µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2619494.208op/s 2625658.431op/s ± 2121.195op/s 2625804.881op/s ± 1407.446op/s 2627157.042op/s 2629045.904op/s 2629817.331op/s 2630112.524op/s 0.16% -0.258 -0.344 0.08% 149.991op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 189.999µs 190.280µs ± 0.166µs 190.259µs ± 0.100µs 190.374µs 190.594µs 190.762µs 190.849µs 0.31% 0.819 0.678 0.09% 0.012µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5239745.214op/s 5255413.631op/s ± 4576.854op/s 5255984.292op/s ± 2769.308op/s 5258580.234op/s 5261617.824op/s 5263058.294op/s 5263192.699op/s 0.14% -0.814 0.665 0.09% 323.632op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 36.818µs 37.053µs ± 0.126µs 37.082µs ± 0.087µs 37.138µs 37.213µs 37.318µs 37.539µs 1.23% 0.133 0.286 0.34% 0.009µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 26639095.725op/s 26988442.213op/s ± 91526.755op/s 26967238.504op/s ± 62961.702op/s 27065927.394op/s 27136295.706op/s 27157345.979op/s 27160879.642op/s 0.72% -0.110 0.223 0.34% 6471.919op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 45.967µs 46.101µs ± 0.110µs 46.088µs ± 0.038µs 46.131µs 46.187µs 46.284µs 47.427µs 2.90% 8.780 102.276 0.24% 0.008µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21085116.353op/s 21691560.596op/s ± 50901.401op/s 21697516.766op/s ± 17797.227op/s 21712209.855op/s 21736197.517op/s 21745571.501op/s 21754525.636op/s 0.26% -8.586 99.153 0.23% 3599.273op/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 [534.830µs; 535.108µs] or [-0.026%; +0.026%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [1868789.569op/s; 1869756.452op/s] or [-0.026%; +0.026%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [380.814µs; 380.900µs] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2625364.454op/s; 2625952.409op/s] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [190.257µs; 190.303µs] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5254779.323op/s; 5256047.939op/s] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [37.036µs; 37.071µs] or [-0.047%; +0.047%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [26975757.485op/s; 27001126.941op/s] or [-0.047%; +0.047%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [46.086µs; 46.116µs] or [-0.033%; +0.033%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21684506.152op/s; 21698615.041op/s] or [-0.033%; +0.033%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 75dbfe7 1758093397 gleocadie/optimize-receiver-in-crashtracker
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 13.987ms 14.034ms ± 0.034ms 14.028ms ± 0.013ms 14.042ms 14.112ms 14.159ms 14.222ms 1.38% 2.511 8.090 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 [14.030ms; 14.039ms] or [-0.033%; +0.033%] None None None

Baseline

Omitted due to size.

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codecov-commenter commented Sep 11, 2025 •
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Codecov Report

❌ Patch coverage is 29.59184% with 69 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.56%. Comparing base (6e9fc38) to head (75dbfe7).

Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #1212      +/-   ##
==========================================
- Coverage   71.62%   71.56%   -0.07%     
==========================================
  Files         354      354              
  Lines       55939    56007      +68     
==========================================
+ Hits        40068    40080      +12     
- Misses      15871    15927      +56
Components Coverage Δ
datadog-crashtracker 48.95% <29.59%> (-0.36%) ⬇️
datadog-crashtracker-ffi 5.86% <0.00%> (-0.07%) ⬇️
datadog-alloc 98.73% <ø> (ø)
data-pipeline 90.21% <ø> (-0.02%) ⬇️
data-pipeline-ffi 88.19% <ø> (ø)
ddcommon 84.29% <ø> (ø)
ddcommon-ffi 73.84% <ø> (ø)
ddtelemetry 59.98% <ø> (ø)
ddtelemetry-ffi 21.24% <ø> (ø)
dogstatsd-client 83.26% <ø> (ø)
datadog-ipc 82.39% <ø> (-0.11%) ⬇️
datadog-profiling 76.90% <ø> (ø)
datadog-profiling-ffi 62.12% <ø> (ø)
datadog-sidecar 37.05% <ø> (ø)
datdog-sidecar-ffi 11.26% <ø> (ø)
spawn-worker 55.35% <ø> (ø)
tinybytes 92.22% <ø> (ø)
datadog-trace-normalization 98.24% <ø> (ø)
datadog-trace-obfuscation 94.17% <ø> (ø)
datadog-trace-protobuf 77.10% <ø> (ø)
datadog-trace-utils 89.78% <ø> (ø)
datadog-tracer-flare 56.08% <ø> (ø)
datadog-log 76.31% <ø> (ø)
🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

@gleocadie gleocadie force-pushed the gleocadie/optimize-receiver-in-crashtracker branch from d554c22 to c1624b0 Compare September 11, 2025 13:42
@gleocadie gleocadie force-pushed the gleocadie/optimize-receiver-in-crashtracker branch from c1624b0 to 75dbfe7 Compare September 17, 2025 07:16
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Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 6.75 MB 6.75 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 70.47 MB 70.48 MB +.02% (+16.51 KB) 🔍
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 8.80 MB 8.80 MB +0% (+104 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 82.75 MB 82.76 MB +.01% (+10.16 KB) 🔍
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 17.89 MB 17.89 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 65.01 KB 65.01 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 124.62 MB 124.63 MB +.01% (+16.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 647.28 MB 647.28 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 5.55 MB 5.55 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 65.01 KB 65.01 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 17.23 MB 17.23 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 31.57 MB 31.57 MB 0% (0 B) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 15.23 MB 15.23 MB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 66.01 KB 66.01 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 126.80 MB 126.82 MB +.01% (+16.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 637.65 MB 637.65 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 4.23 MB 4.23 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 66.01 KB 66.01 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 18.35 MB 18.35 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 29.68 MB 29.68 MB 0% (0 B) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 63.02 MB 63.03 MB +.02% (+15.36 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 8.06 MB 8.06 MB +.04% (+4.00 KB) 🔍
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 77.38 MB 77.40 MB +.02% (+19.02 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 9.40 MB 9.40 MB +.04% (+4.04 KB) 🔍

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