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[crashtracking] Document errors intake payload in libdatadog #1384

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@gyuheon0h gyuheon0h commented Dec 5, 2025

What does this PR do?

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

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gyuheon0h commented Dec 5, 2025

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@gyuheon0h gyuheon0h changed the title First pass [crashtracking] RFC for errors intake payloads Dec 5, 2025
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Benchmarks

Comparison

Benchmark execution time: 2025-12-05 19:41:20

Comparing candidate commit 169e443 in PR branch gyuheon0h/errors-intake-payload with baseline commit 6b26318 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 55 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 169e443 1764962724 gyuheon0h/errors-intake-payload
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 245.240ns 257.452ns ± 14.555ns 250.571ns ± 3.011ns 259.843ns 288.343ns 299.403ns 300.549ns 19.95% 1.631 1.426 5.64% 1.029ns 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 [255.435ns; 259.469ns] or [-0.784%; +0.784%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 169e443 1764962724 gyuheon0h/errors-intake-payload
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 2.411µs 2.433µs ± 0.017µs 2.429µs ± 0.009µs 2.441µs 2.478µs 2.485µs 2.487µs 2.38% 1.479 2.201 0.68% 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 [2.431µs; 2.435µs] or [-0.094%; +0.094%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 169e443 1764962724 gyuheon0h/errors-intake-payload
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 61.226ms 61.778ms ± 2.469ms 61.461ms ± 0.069ms 61.540ms 61.671ms 80.701ms 83.037ms 35.11% 7.985 62.067 3.99% 0.175ms 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 [61.436ms; 62.121ms] or [-0.554%; +0.554%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 169e443 1764962724 gyuheon0h/errors-intake-payload
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 34.794µs 35.350µs ± 0.894µs 34.948µs ± 0.065µs 35.052µs 37.246µs 37.299µs 38.615µs 10.49% 1.735 1.260 2.52% 0.063µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [35.226µs; 35.474µs] or [-0.351%; +0.351%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 169e443 1764962724 gyuheon0h/errors-intake-payload
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 1.177µs 3.236µs ± 1.442µs 3.029µs ± 0.023µs 3.053µs 3.696µs 14.049µs 15.014µs 395.63% 7.382 55.477 44.46% 0.102µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [3.036µs; 3.436µs] or [-6.178%; +6.178%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 169e443 1764962724 gyuheon0h/errors-intake-payload
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 205.857µs 208.199µs ± 2.557µs 207.228µs ± 0.698µs 207.916µs 213.135µs 216.134µs 216.387µs 4.42% 1.607 1.327 1.23% 0.181µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 4621360.101op/s 4803805.439op/s ± 57867.173op/s 4825596.110op/s ± 16315.160op/s 4841892.103op/s 4850339.784op/s 4853806.917op/s 4857741.691op/s 0.67% -1.580 1.222 1.20% 4091.827op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 18.583µs 18.653µs ± 0.045µs 18.647µs ± 0.022µs 18.669µs 18.731µs 18.796µs 18.908µs 1.40% 1.763 6.056 0.24% 0.003µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 52887714.005op/s 53612261.308op/s ± 128336.699op/s 53626540.229op/s ± 63550.110op/s 53692490.594op/s 53767215.936op/s 53808683.990op/s 53813777.878op/s 0.35% -1.728 5.842 0.24% 9074.775op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.783µs 10.879µs ± 0.048µs 10.871µs ± 0.028µs 10.910µs 10.956µs 11.010µs 11.085µs 1.97% 0.892 1.511 0.44% 0.003µs 1 200
normalization/normalize_name/normalize_name/good throughput 90210445.130op/s 91922063.323op/s ± 407305.914op/s 91988826.520op/s ± 233059.579op/s 92196174.458op/s 92490384.448op/s 92686875.584op/s 92734959.239op/s 0.81% -0.856 1.387 0.44% 28800.877op/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 [207.845µs; 208.553µs] or [-0.170%; +0.170%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [4795785.606op/s; 4811825.273op/s] or [-0.167%; +0.167%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [18.646µs; 18.659µs] or [-0.033%; +0.033%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [53594475.076op/s; 53630047.540op/s] or [-0.033%; +0.033%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.872µs; 10.886µs] or [-0.062%; +0.062%] None None None
normalization/normalize_name/normalize_name/good throughput [91865614.641op/s; 91978512.005op/s] or [-0.061%; +0.061%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 169e443 1764962724 gyuheon0h/errors-intake-payload
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 14.152ms 14.224ms ± 0.035ms 14.218ms ± 0.015ms 14.234ms 14.288ms 14.363ms 14.400ms 1.28% 1.864 5.970 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 [14.219ms; 14.229ms] or [-0.034%; +0.034%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 169e443 1764962724 gyuheon0h/errors-intake-payload
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 532.951µs 533.877µs ± 0.951µs 533.754µs ± 0.220µs 534.007µs 534.521µs 535.247µs 545.979µs 2.29% 10.416 129.572 0.18% 0.067µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1831573.263op/s 1873097.128op/s ± 3276.433op/s 1873522.053op/s ± 773.242op/s 1874192.564op/s 1875433.322op/s 1876164.926op/s 1876343.862op/s 0.15% -10.293 127.457 0.17% 231.679op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 381.288µs 382.045µs ± 0.343µs 382.003µs ± 0.203µs 382.217µs 382.774µs 382.996µs 383.149µs 0.30% 0.803 0.775 0.09% 0.024µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2609949.513op/s 2617492.719op/s ± 2345.584op/s 2617782.127op/s ± 1393.043op/s 2619078.094op/s 2620861.722op/s 2621398.427op/s 2622686.719op/s 0.19% -0.797 0.764 0.09% 165.858op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 189.012µs 189.563µs ± 0.328µs 189.476µs ± 0.230µs 189.882µs 190.087µs 190.275µs 190.476µs 0.53% 0.402 -0.887 0.17% 0.023µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5250018.678op/s 5275312.357op/s ± 9126.073op/s 5277721.129op/s ± 6405.335op/s 5282283.897op/s 5288194.643op/s 5289681.679op/s 5290673.682op/s 0.25% -0.397 -0.893 0.17% 645.311op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 36.878µs 36.971µs ± 0.053µs 36.963µs ± 0.039µs 37.007µs 37.074µs 37.102µs 37.118µs 0.42% 0.583 -0.213 0.14% 0.004µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 26941005.463op/s 27048360.152op/s ± 38675.103op/s 27053830.045op/s ± 28388.616op/s 27078533.257op/s 27098229.073op/s 27114101.767op/s 27116467.910op/s 0.23% -0.577 -0.223 0.14% 2734.743op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 44.900µs 45.137µs ± 0.104µs 45.145µs ± 0.072µs 45.212µs 45.307µs 45.383µs 45.420µs 0.61% -0.018 -0.281 0.23% 0.007µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 22016641.156op/s 22154724.985op/s ± 51252.525op/s 22150738.280op/s ± 35349.761op/s 22188445.108op/s 22236496.409op/s 22270853.463op/s 22271604.694op/s 0.55% 0.030 -0.286 0.23% 3624.101op/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 [533.745µs; 534.009µs] or [-0.025%; +0.025%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [1872643.046op/s; 1873551.210op/s] or [-0.024%; +0.024%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [381.998µs; 382.093µs] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2617167.644op/s; 2617817.794op/s] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [189.517µs; 189.608µs] or [-0.024%; +0.024%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5274047.571op/s; 5276577.143op/s] or [-0.024%; +0.024%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [36.964µs; 36.978µs] or [-0.020%; +0.020%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [27043000.155op/s; 27053720.150op/s] or [-0.020%; +0.020%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [45.123µs; 45.152µs] or [-0.032%; +0.032%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [22147621.878op/s; 22161828.092op/s] or [-0.032%; +0.032%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 169e443 1764962724 gyuheon0h/errors-intake-payload
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 86.119µs 86.356µs ± 0.153µs 86.333µs ± 0.040µs 86.376µs 86.521µs 86.810µs 87.877µs 1.79% 5.901 50.322 0.18% 0.011µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [86.335µs; 86.378µs] or [-0.025%; +0.025%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 169e443 1764962724 gyuheon0h/errors-intake-payload
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 3.889µs 3.912µs ± 0.003µs 3.912µs ± 0.002µs 3.913µs 3.916µs 3.917µs 3.919µs 0.17% -2.328 18.359 0.07% 0.000µs 1 200
credit_card/is_card_number/ throughput 255195300.255op/s 255642105.810op/s ± 186224.524op/s 255634123.087op/s ± 119447.873op/s 255769000.087op/s 255877095.106op/s 255927903.295op/s 257128528.968op/s 0.58% 2.361 18.675 0.07% 13168.062op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 79.124µs 81.738µs ± 1.189µs 81.649µs ± 0.723µs 82.411µs 83.990µs 84.449µs 84.836µs 3.90% 0.404 -0.371 1.45% 0.084µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 11787379.818op/s 12236709.883op/s ± 177105.774op/s 12247616.956op/s ± 108267.721op/s 12349404.258op/s 12492904.473op/s 12575672.978op/s 12638408.555op/s 3.19% -0.341 -0.407 1.44% 12523.269op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 71.417µs 72.165µs ± 0.692µs 71.919µs ± 0.368µs 72.523µs 73.563µs 74.112µs 74.386µs 3.43% 1.107 0.419 0.96% 0.049µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 13443396.386op/s 13858344.185op/s ± 131506.690op/s 13904466.854op/s ± 71484.757op/s 13968742.980op/s 13984262.102op/s 13993511.068op/s 14002337.484op/s 0.70% -1.074 0.317 0.95% 9298.927op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.896µs 3.912µs ± 0.003µs 3.912µs ± 0.002µs 3.914µs 3.917µs 3.919µs 3.923µs 0.29% -0.379 5.353 0.07% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 254898773.474op/s 255604760.292op/s ± 183407.705op/s 255625882.123op/s ± 111006.903op/s 255718551.123op/s 255844940.830op/s 255885793.781op/s 256668485.237op/s 0.41% 0.394 5.420 0.07% 12968.883op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 68.291µs 69.099µs ± 0.539µs 68.975µs ± 0.348µs 69.418µs 70.162µs 70.665µs 70.943µs 2.85% 0.893 0.453 0.78% 0.038µs 1 200
credit_card/is_card_number/378282246310005 throughput 14095728.858op/s 14472879.666op/s ± 112198.075op/s 14497928.291op/s ± 73095.389op/s 14556763.009op/s 14611055.950op/s 14623275.219op/s 14643302.285op/s 1.00% -0.855 0.347 0.77% 7933.602op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 45.396µs 45.682µs ± 0.135µs 45.669µs ± 0.080µs 45.752µs 45.870µs 45.911µs 46.585µs 2.01% 1.980 11.569 0.30% 0.010µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 21466111.920op/s 21890558.095op/s ± 64454.086op/s 21896814.014op/s ± 38661.133op/s 21929137.794op/s 21983485.143op/s 22018797.445op/s 22028587.474op/s 0.60% -1.896 10.960 0.29% 4557.592op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.427µs 6.436µs ± 0.005µs 6.436µs ± 0.003µs 6.439µs 6.446µs 6.452µs 6.455µs 0.30% 1.067 1.632 0.08% 0.000µs 1 200
credit_card/is_card_number/x371413321323331 throughput 154923390.632op/s 155375784.680op/s ± 121212.537op/s 155384060.184op/s ± 77641.826op/s 155465929.642op/s 155539062.080op/s 155570229.693op/s 155585525.363op/s 0.13% -1.061 1.613 0.08% 8571.021op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.893µs 3.912µs ± 0.003µs 3.912µs ± 0.002µs 3.914µs 3.918µs 3.920µs 3.924µs 0.30% -0.628 10.052 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 254835851.627op/s 255593204.487op/s ± 190305.578op/s 255600328.652op/s ± 110657.317op/s 255711078.683op/s 255819466.435op/s 255857518.683op/s 256859050.781op/s 0.49% 0.654 10.192 0.07% 13456.636op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 61.582µs 62.724µs ± 0.489µs 62.753µs ± 0.353µs 63.077µs 63.503µs 63.848µs 64.093µs 2.13% 0.066 -0.320 0.78% 0.035µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15602333.991op/s 15943747.507op/s ± 124372.833op/s 15935433.678op/s ± 89808.586op/s 16033614.940op/s 16132503.840op/s 16224151.771op/s 16238531.154op/s 1.90% -0.027 -0.333 0.78% 8794.487op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 54.048µs 54.201µs ± 0.072µs 54.198µs ± 0.046µs 54.248µs 54.319µs 54.359µs 54.444µs 0.45% 0.233 -0.051 0.13% 0.005µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 18367453.111op/s 18449722.284op/s ± 24604.897op/s 18450719.976op/s ± 15620.470op/s 18465012.034op/s 18490810.346op/s 18499794.486op/s 18502133.296op/s 0.28% -0.225 -0.060 0.13% 1739.829op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.895µs 3.913µs ± 0.003µs 3.913µs ± 0.001µs 3.914µs 3.918µs 3.921µs 3.922µs 0.24% -0.524 6.375 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 254962953.095op/s 255567152.705op/s ± 196343.768op/s 255569365.733op/s ± 93954.161op/s 255683239.980op/s 255828493.741op/s 255920972.737op/s 256753433.663op/s 0.46% 0.543 6.468 0.08% 13883.601op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 50.251µs 50.465µs ± 0.107µs 50.461µs ± 0.067µs 50.528µs 50.611µs 50.796µs 51.045µs 1.16% 1.042 4.137 0.21% 0.008µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 19590508.893op/s 19815848.359op/s ± 41758.073op/s 19817447.298op/s ± 26159.057op/s 19843041.546op/s 19878650.278op/s 19897934.770op/s 19900051.489op/s 0.42% -1.011 3.973 0.21% 2952.742op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 45.351µs 45.701µs ± 0.149µs 45.696µs ± 0.104µs 45.803µs 45.906µs 45.950µs 46.316µs 1.36% 0.288 1.090 0.32% 0.011µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 21590972.726op/s 21881585.355op/s ± 71210.334op/s 21883993.016op/s ± 49831.698op/s 21932295.306op/s 21994529.744op/s 22037185.925op/s 22050345.873op/s 0.76% -0.259 1.012 0.32% 5035.331op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.428µs 6.439µs ± 0.005µs 6.438µs ± 0.004µs 6.443µs 6.447µs 6.449µs 6.451µs 0.20% 0.006 -0.642 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 155014030.565op/s 155313733.345op/s ± 127097.623op/s 155317425.491op/s ± 95348.796op/s 155404440.699op/s 155530326.637op/s 155574898.081op/s 155581407.922op/s 0.17% -0.002 -0.642 0.08% 8987.159op/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 [255616296.882op/s; 255667914.738op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [81.574µs; 81.903µs] or [-0.202%; +0.202%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12212164.726op/s; 12261255.040op/s] or [-0.201%; +0.201%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [72.069µs; 72.261µs] or [-0.133%; +0.133%] None None None
credit_card/is_card_number/ 378282246310005 throughput [13840118.623op/s; 13876569.748op/s] or [-0.132%; +0.132%] 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 [255579341.748op/s; 255630178.836op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/378282246310005 execution_time [69.024µs; 69.174µs] or [-0.108%; +0.108%] None None None
credit_card/is_card_number/378282246310005 throughput [14457330.092op/s; 14488429.240op/s] or [-0.107%; +0.107%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [45.663µs; 45.701µs] or [-0.041%; +0.041%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [21881625.379op/s; 21899490.812op/s] or [-0.041%; +0.041%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.435µs; 6.437µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/x371413321323331 throughput [155358985.788op/s; 155392583.571op/s] or [-0.011%; +0.011%] 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 [255566829.964op/s; 255619579.010op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [62.656µs; 62.792µs] or [-0.108%; +0.108%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15926510.629op/s; 15960984.386op/s] or [-0.108%; +0.108%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [54.191µs; 54.211µs] or [-0.018%; +0.018%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [18446312.282op/s; 18453132.286op/s] or [-0.018%; +0.018%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.912µs; 3.913µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255539941.347op/s; 255594364.063op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [50.450µs; 50.480µs] or [-0.029%; +0.029%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [19810061.092op/s; 19821635.627op/s] or [-0.029%; +0.029%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [45.680µs; 45.722µs] or [-0.045%; +0.045%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [21871716.288op/s; 21891454.423op/s] or [-0.045%; +0.045%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.438µs; 6.439µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [155296118.837op/s; 155331347.853op/s] or [-0.011%; +0.011%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 169e443 1764962724 gyuheon0h/errors-intake-payload
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 18.055µs 26.507µs ± 9.509µs 19.157µs ± 0.452µs 33.714µs 42.814µs 44.446µs 78.033µs 307.33% 1.409 3.646 35.78% 0.672µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [25.189µs; 27.825µs] or [-4.972%; +4.972%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 169e443 1764962724 gyuheon0h/errors-intake-payload
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 10.592ms 10.624ms ± 0.013ms 10.621ms ± 0.009ms 10.632ms 10.646ms 10.662ms 10.673ms 0.49% 0.817 1.018 0.12% 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 [10.622ms; 10.625ms] or [-0.017%; +0.017%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 169e443 1764962724 gyuheon0h/errors-intake-payload
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 5.026µs 5.116µs ± 0.042µs 5.140µs ± 0.012µs 5.146µs 5.158µs 5.164µs 5.167µs 0.52% -0.738 -1.154 0.82% 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 [5.110µs; 5.122µs] or [-0.114%; +0.114%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 169e443 1764962724 gyuheon0h/errors-intake-payload
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 144.350µs 146.534µs ± 1.864µs 146.256µs ± 0.556µs 146.828µs 148.175µs 152.846µs 165.973µs 13.48% 6.664 61.251 1.27% 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 [146.275µs; 146.792µs] or [-0.176%; +0.176%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 169e443 1764962724 gyuheon0h/errors-intake-payload
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 159.984µs 160.592µs ± 0.306µs 160.560µs ± 0.188µs 160.762µs 161.124µs 161.553µs 161.660µs 0.69% 0.846 1.078 0.19% 0.022µs 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 [160.549µs; 160.634µs] or [-0.026%; +0.026%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 169e443 1764962724 gyuheon0h/errors-intake-payload
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 6.133ms 6.427ms ± 0.062ms 6.440ms ± 0.014ms 6.453ms 6.480ms 6.551ms 6.587ms 2.29% -2.299 7.428 0.97% 0.004ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
receiver_entry_point/report/2597 execution_time [6.418ms; 6.436ms] or [-0.135%; +0.135%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 169e443 1764962724 gyuheon0h/errors-intake-payload
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 187.873ns 190.587ns ± 2.042ns 190.394ns ± 1.497ns 191.602ns 194.015ns 196.762ns 197.597ns 3.78% 0.949 0.631 1.07% 0.144ns 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 [190.304ns; 190.870ns] or [-0.148%; +0.148%] None None None

Baseline

Omitted due to size.

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codecov-commenter commented Dec 5, 2025 •
edited
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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 70.97%. Comparing base (6b26318) to head (169e443).

Additional details and impacted files 
@@           Coverage Diff           @@
##             main    #1384   +/-   ##
=======================================
  Coverage   70.96%   70.97%           
=======================================
  Files         400      400           
  Lines       63691    63691           
=======================================
+ Hits        45199    45204    +5     
+ Misses      18492    18487    -5
Components Coverage Δ
libdd-crashtracker 58.68% <ø> (-0.02%) ⬇️
libdd-crashtracker-ffi 16.74% <ø> (ø)
libdd-alloc 98.73% <ø> (ø)
libdd-data-pipeline 85.81% <ø> (ø)
libdd-data-pipeline-ffi 76.59% <ø> (ø)
libdd-common 81.15% <ø> (ø)
libdd-common-ffi 74.96% <ø> (ø)
libdd-telemetry 60.02% <ø> (+0.03%) ⬆️
libdd-telemetry-ffi 21.24% <ø> (ø)
libdd-dogstatsd-client 83.75% <ø> (ø)
datadog-ipc 82.61% <ø> (ø)
libdd-profiling 79.66% <ø> (+0.02%) ⬆️
libdd-profiling-ffi 62.13% <ø> (ø)
datadog-sidecar 35.88% <ø> (ø)
datdog-sidecar-ffi 10.82% <ø> (ø)
spawn-worker 55.18% <ø> (ø)
libdd-tinybytes 92.44% <ø> (ø)
libdd-trace-normalization 98.24% <ø> (ø)
datadog-trace-obfuscation 94.17% <ø> (ø)
libdd-trace-protobuf 59.65% <ø> (ø)
libdd-trace-utils 89.88% <ø> (ø)
datadog-tracer-flare 63.49% <ø> (ø)
libdd-log 75.57% <ø> (ø)
🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

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dd-octo-sts bot commented Dec 5, 2025 •
edited
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Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 7.44 MB 7.44 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 86.25 MB 86.25 MB 0% (0 B) 👌
aarch64-apple-darwin
Artifact Baseline Commit Change
/aarch64-apple-darwin/lib/libdatadog_profiling.a 58.31 MB 58.31 MB 0% (0 B) 👌
/aarch64-apple-darwin/lib/libdatadog_profiling.dylib 8.43 MB 8.43 MB 0% (0 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 9.54 MB 9.54 MB 0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 100.04 MB 100.04 MB 0% (0 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 19.69 MB 19.69 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 69.82 KB 69.82 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 139.73 MB 139.73 MB -0% (-8.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 742.46 MB 742.46 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 6.37 MB 6.37 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 69.82 KB 69.82 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 19.73 MB 19.73 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 38.75 MB 38.75 MB 0% (0 B) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 16.80 MB 16.80 MB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 70.90 KB 70.90 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 142.34 MB 142.33 MB -0% (-8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 730.71 MB 730.71 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 4.88 MB 4.88 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 70.90 KB 70.90 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 20.97 MB 20.97 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 36.51 MB 36.51 MB 0% (0 B) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 74.59 MB 74.59 MB 0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 8.86 MB 8.86 MB 0% (0 B) 👌
x86_64-apple-darwin
Artifact Baseline Commit Change
/x86_64-apple-darwin/lib/libdatadog_profiling.a 59.67 MB 59.67 MB 0% (0 B) 👌
/x86_64-apple-darwin/lib/libdatadog_profiling.dylib 9.49 MB 9.49 MB 0% (0 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 94.25 MB 94.25 MB 0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 10.29 MB 10.29 MB 0% (0 B) 👌

@gyuheon0h gyuheon0h force-pushed the gyuheon0h/errors-intake-payload branch 2 times, most recently from 09bf049 to 1767bd3 Compare December 5, 2025 19:22
@gyuheon0h gyuheon0h force-pushed the gyuheon0h/errors-intake-payload branch from 1767bd3 to 169e443 Compare December 5, 2025 19:25
@gyuheon0h gyuheon0h changed the title [crashtracking] RFC for errors intake payloads [crashtracking] Document errors intake payload in libdatadog Dec 5, 2025
@gyuheon0h gyuheon0h marked this pull request as ready for review December 5, 2025 19:27
@gyuheon0h gyuheon0h requested a review from a team as a code owner December 5, 2025 19:27
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@gyuheon0h @codecov-commenter