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[PROF-11306] Package libdatadog v16.0.1 for Ruby #864

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[PROF-11306] Package libdatadog v16.0.1 for Ruby #864

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@ivoanjo ivoanjo commented Feb 7, 2025

What does this PR do?

This PR includes the changes documented in the "Releasing a new version to rubygems.org" part of the README:
https://github.com/datadog/libdatadog/tree/main/ruby#releasing-a-new-version-to-rubygemsorg

Motivation

Enable Ruby to use libdatadog v16.0.1. Of particular interest, this includes improvements to crashtracking and the managed string table needed by DataDog/dd-trace-rb#4331 .

Additional Notes

N/A

How to test the change?

I've tested this release locally using the changes in DataDog/dd-trace-rb#4353 .

As a reminder, new libdatadog releases don't get automatically picked up by dd-trace-rb, so the PR that bumps the Ruby profiler will also test this release against all supported Ruby versions.

@ivoanjo
[PROF-11306] Package libdatadog v16.0.1 for Ruby
385a98d 
**What does this PR do?**

This PR includes the changes documented in the "Releasing a new version
to rubygems.org" part of the README:
https://github.com/datadog/libdatadog/tree/main/ruby#releasing-a-new-version-to-rubygemsorg

**Motivation:**

Enable Ruby to use libdatadog v16.0.1. Of particular interest, this
includes improvements to crashtracking and the managed string table
needed by DataDog/dd-trace-rb#4331 .

**Additional Notes:**

N/A

**How to test the change?**

I've tested this release locally using the changes in
DataDog/dd-trace-rb#4353 .

As a reminder, new libdatadog releases don't get automatically picked up
by dd-trace-rb, so the PR that bumps the Ruby profiler will also test
this release against all supported Ruby versions.
@ivoanjo ivoanjo requested review from a team as code owners February 7, 2025 11:02
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pr-commenter bot commented Feb 7, 2025 •
edited
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Benchmarks

Comparison

Benchmark execution time: 2025-02-07 16:49:23

Comparing candidate commit b969586 in PR branch ivoanjo/prof-11306-libdatadog16_0-ruby with baseline commit 0a4a5a6 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 52 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 b969586 1738946376 ivoanjo/prof-11306-libdatadog16_0-ruby
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 39.122µs 39.602µs ± 0.786µs 39.239µs ± 0.061µs 39.380µs 41.251µs 41.278µs 42.870µs 9.25% 1.783 1.688 1.98% 0.056µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [39.493µs; 39.711µs] or [-0.275%; +0.275%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b969586 1738946376 ivoanjo/prof-11306-libdatadog16_0-ruby
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 76.160µs 76.333µs ± 0.158µs 76.309µs ± 0.052µs 76.367µs 76.519µs 76.627µs 78.138µs 2.40% 7.695 84.008 0.21% 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 [76.311µs; 76.355µs] or [-0.029%; +0.029%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b969586 1738946376 ivoanjo/prof-11306-libdatadog16_0-ruby
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 1.463µs 3.369µs ± 1.472µs 3.157µs ± 0.030µs 3.186µs 3.817µs 14.491µs 15.524µs 391.77% 7.382 55.513 43.57% 0.104µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [3.165µs; 3.573µs] or [-6.054%; +6.054%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b969586 1738946376 ivoanjo/prof-11306-libdatadog16_0-ruby
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 6.232ms 6.246ms ± 0.007ms 6.246ms ± 0.004ms 6.250ms 6.256ms 6.262ms 6.304ms 0.93% 2.927 19.041 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 [6.245ms; 6.247ms] or [-0.016%; +0.016%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b969586 1738946376 ivoanjo/prof-11306-libdatadog16_0-ruby
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 5.420µs 5.523µs ± 0.053µs 5.541µs ± 0.049µs 5.560µs 5.605µs 5.611µs 5.612µs 1.28% -0.189 -1.223 0.96% 0.004µs 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 [5.516µs; 5.531µs] or [-0.134%; +0.134%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b969586 1738946376 ivoanjo/prof-11306-libdatadog16_0-ruby
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 57.592ms 57.780ms ± 0.113ms 57.758ms ± 0.068ms 57.837ms 57.959ms 58.069ms 58.487ms 1.26% 1.715 7.272 0.20% 0.008ms 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 [57.765ms; 57.796ms] or [-0.027%; +0.027%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b969586 1738946376 ivoanjo/prof-11306-libdatadog16_0-ruby
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 18.370µs 27.599µs ± 13.786µs 18.639µs ± 0.204µs 35.435µs 46.037µs 53.882µs 146.251µs 684.67% 4.018 28.711 49.82% 0.975µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [25.689µs; 29.510µs] or [-6.923%; +6.923%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b969586 1738946376 ivoanjo/prof-11306-libdatadog16_0-ruby
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 258.733ns 274.012ns ± 17.085ns 265.292ns ± 3.242ns 286.011ns 312.345ns 321.795ns 326.128ns 22.93% 1.383 0.764 6.22% 1.208ns 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 [271.644ns; 276.379ns] or [-0.864%; +0.864%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b969586 1738946376 ivoanjo/prof-11306-libdatadog16_0-ruby
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 427.826µs 429.704µs ± 1.126µs 429.632µs ± 0.349µs 429.903µs 430.715µs 434.685µs 436.079µs 1.50% 3.005 11.594 0.26% 0.080µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 2293162.215op/s 2327197.256op/s ± 6048.776op/s 2327570.792op/s ± 1893.187op/s 2330142.514op/s 2333425.998op/s 2335626.177op/s 2337398.303op/s 0.42% -2.970 11.391 0.26% 427.713op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 470.128µs 470.927µs ± 0.324µs 470.927µs ± 0.220µs 471.134µs 471.471µs 471.565µs 471.712µs 0.17% -0.046 -0.328 0.07% 0.023µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2119935.933op/s 2123473.950op/s ± 1458.798op/s 2123472.553op/s ± 991.286op/s 2124482.723op/s 2125822.797op/s 2126777.783op/s 2127081.475op/s 0.17% 0.050 -0.327 0.07% 103.153op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 161.795µs 162.733µs ± 0.222µs 162.757µs ± 0.140µs 162.872µs 163.067µs 163.214µs 163.260µs 0.31% -0.480 1.018 0.14% 0.016µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 6125183.721op/s 6145040.001op/s ± 8370.013op/s 6144146.138op/s ± 5288.143op/s 6150309.082op/s 6158676.753op/s 6165167.804op/s 6180642.481op/s 0.59% 0.492 1.047 0.14% 591.849op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 45.580µs 45.750µs ± 0.066µs 45.749µs ± 0.040µs 45.790µs 45.847µs 45.912µs 45.971µs 0.49% 0.250 0.522 0.14% 0.005µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 21752669.172op/s 21857897.657op/s ± 31415.073op/s 21858170.567op/s ± 19300.295op/s 21877377.151op/s 21909599.643op/s 21926701.358op/s 21939417.454op/s 0.37% -0.239 0.512 0.14% 2221.381op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 42.979µs 43.286µs ± 0.091µs 43.278µs ± 0.056µs 43.343µs 43.444µs 43.515µs 43.570µs 0.67% 0.236 0.469 0.21% 0.006µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 22951474.844op/s 23102439.746op/s ± 48388.150op/s 23106196.079op/s ± 30046.701op/s 23131536.034op/s 23176324.609op/s 23190390.975op/s 23267294.681op/s 0.70% -0.221 0.469 0.21% 3421.559op/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 [429.548µs; 429.860µs] or [-0.036%; +0.036%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [2326358.954op/s; 2328035.558op/s] or [-0.036%; +0.036%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [470.882µs; 470.971µs] or [-0.010%; +0.010%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2123271.774op/s; 2123676.125op/s] or [-0.010%; +0.010%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [162.702µs; 162.764µs] or [-0.019%; +0.019%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [6143879.998op/s; 6146200.004op/s] or [-0.019%; +0.019%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [45.741µs; 45.759µs] or [-0.020%; +0.020%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [21853543.830op/s; 21862251.484op/s] or [-0.020%; +0.020%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [43.273µs; 43.298µs] or [-0.029%; +0.029%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [23095733.614op/s; 23109145.878op/s] or [-0.029%; +0.029%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b969586 1738946376 ivoanjo/prof-11306-libdatadog16_0-ruby
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 210.769µs 217.493µs ± 2.573µs 217.387µs ± 1.813µs 219.344µs 221.495µs 223.570µs 224.984µs 3.49% 0.161 -0.237 1.18% 0.182µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 4444755.029op/s 4598483.611op/s ± 54322.617op/s 4600087.886op/s ± 38430.637op/s 4633374.174op/s 4688137.534op/s 4707335.343op/s 4744529.492op/s 3.14% -0.100 -0.267 1.18% 3841.189op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 20.219µs 20.654µs ± 0.194µs 20.638µs ± 0.139µs 20.785µs 21.019µs 21.112µs 21.127µs 2.37% 0.301 -0.264 0.94% 0.014µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 47331939.716op/s 48421524.233op/s ± 452897.481op/s 48453532.426op/s ± 326971.783op/s 48749032.673op/s 49154260.495op/s 49305832.002op/s 49459557.565op/s 2.08% -0.255 -0.295 0.93% 32024.688op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 13.156µs 13.382µs ± 0.074µs 13.386µs ± 0.046µs 13.433µs 13.494µs 13.538µs 13.551µs 1.23% -0.311 0.130 0.55% 0.005µs 1 200
normalization/normalize_name/normalize_name/good throughput 73794773.222op/s 74729149.158op/s ± 413251.643op/s 74702324.759op/s ± 255777.138op/s 74946121.583op/s 75435968.561op/s 75696109.129op/s 76013330.084op/s 1.75% 0.345 0.167 0.55% 29221.304op/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 [217.137µs; 217.850µs] or [-0.164%; +0.164%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [4590955.019op/s; 4606012.203op/s] or [-0.164%; +0.164%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [20.627µs; 20.681µs] or [-0.130%; +0.130%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [48358756.998op/s; 48484291.468op/s] or [-0.130%; +0.130%] None None None
normalization/normalize_name/normalize_name/good execution_time [13.372µs; 13.392µs] or [-0.077%; +0.077%] None None None
normalization/normalize_name/normalize_name/good throughput [74671876.454op/s; 74786421.861op/s] or [-0.077%; +0.077%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b969586 1738946376 ivoanjo/prof-11306-libdatadog16_0-ruby
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 144.099µs 144.721µs ± 0.655µs 144.605µs ± 0.205µs 144.847µs 145.370µs 146.505µs 152.041µs 5.14% 7.359 76.684 0.45% 0.046µs 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 [144.630µs; 144.811µs] or [-0.063%; +0.063%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b969586 1738946376 ivoanjo/prof-11306-libdatadog16_0-ruby
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 4.269µs 4.285µs ± 0.003µs 4.285µs ± 0.001µs 4.287µs 4.289µs 4.291µs 4.311µs 0.62% 1.733 19.886 0.08% 0.000µs 1 200
credit_card/is_card_number/ throughput 231939005.112op/s 233369609.953op/s ± 182779.326op/s 233373629.381op/s ± 78038.667op/s 233436823.210op/s 233649146.668op/s 233738605.820op/s 234232126.748op/s 0.37% -1.689 19.582 0.08% 12924.450op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 96.763µs 98.083µs ± 0.724µs 98.016µs ± 0.406µs 98.422µs 99.131µs 99.935µs 102.997µs 5.08% 1.942 9.887 0.74% 0.051µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 9709012.414op/s 10195945.061op/s ± 74197.953op/s 10202422.502op/s ± 42092.995op/s 10242238.689op/s 10292946.004op/s 10321020.793op/s 10334552.543op/s 1.30% -1.772 8.545 0.73% 5246.588op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 90.267µs 92.765µs ± 0.747µs 92.854µs ± 0.433µs 93.251µs 93.503µs 93.701µs 98.304µs 5.87% 1.396 14.363 0.80% 0.053µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 10172509.753op/s 10780660.784op/s ± 85924.433op/s 10769537.824op/s ± 50038.279op/s 10827106.744op/s 10924163.985op/s 10991904.350op/s 11078185.422op/s 2.87% -1.071 11.952 0.80% 6075.775op/s 1 200
credit_card/is_card_number/37828224631 execution_time 4.270µs 4.286µs ± 0.005µs 4.286µs ± 0.001µs 4.287µs 4.290µs 4.292µs 4.348µs 1.46% 9.464 117.309 0.12% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 229977180.628op/s 233300999.810op/s ± 268835.072op/s 233329569.470op/s ± 70994.145op/s 233393459.149op/s 233467383.369op/s 233524030.453op/s 234201225.814op/s 0.37% -9.360 115.743 0.11% 19009.510op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 82.722µs 83.834µs ± 0.322µs 83.825µs ± 0.192µs 84.018µs 84.383µs 84.532µs 85.006µs 1.41% -0.106 1.398 0.38% 0.023µs 1 200
credit_card/is_card_number/378282246310005 throughput 11763824.749op/s 11928542.652op/s ± 45819.029op/s 11929549.449op/s ± 27256.001op/s 11956278.885op/s 11999533.164op/s 12050634.771op/s 12088703.278op/s 1.33% 0.145 1.414 0.38% 3239.895op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 58.974µs 59.083µs ± 0.034µs 59.079µs ± 0.019µs 59.101µs 59.145µs 59.169µs 59.242µs 0.28% 0.617 2.709 0.06% 0.002µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 16879788.895op/s 16925319.620op/s ± 9616.212op/s 16926592.753op/s ± 5482.408op/s 16931044.933op/s 16936725.496op/s 16951906.070op/s 16956719.669op/s 0.18% -0.610 2.693 0.06% 679.969op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.831µs 6.844µs ± 0.004µs 6.843µs ± 0.002µs 6.845µs 6.852µs 6.854µs 6.858µs 0.23% 0.348 0.793 0.07% 0.000µs 1 200
credit_card/is_card_number/x371413321323331 throughput 145808664.126op/s 146123976.392op/s ± 95536.839op/s 146137241.362op/s ± 46298.358op/s 146172654.751op/s 146257180.068op/s 146343539.330op/s 146394792.911op/s 0.18% -0.343 0.791 0.07% 6755.475op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 4.267µs 4.287µs ± 0.003µs 4.286µs ± 0.001µs 4.288µs 4.291µs 4.294µs 4.294µs 0.19% -1.157 9.649 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 232856931.065op/s 233288830.540op/s ± 157011.187op/s 233303167.520op/s ± 77496.892op/s 233368086.916op/s 233479003.458op/s 233667239.704op/s 234346666.795op/s 0.45% 1.178 9.788 0.07% 11102.368op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 75.705µs 76.267µs ± 0.217µs 76.267µs ± 0.138µs 76.405µs 76.584µs 76.658µs 77.609µs 1.76% 0.960 6.164 0.28% 0.015µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 12885069.572op/s 13111947.235op/s ± 37282.870op/s 13111843.178op/s ± 23640.641op/s 13135079.637op/s 13167660.032op/s 13192392.282op/s 13209188.311op/s 0.74% -0.900 5.787 0.28% 2636.297op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 66.119µs 66.634µs ± 0.200µs 66.635µs ± 0.149µs 66.781µs 66.955µs 67.084µs 67.178µs 0.82% 0.057 -0.248 0.30% 0.014µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 14885728.864op/s 15007569.038op/s ± 45053.107op/s 15007126.155op/s ± 33407.757op/s 15042404.908op/s 15080383.528op/s 15106795.137op/s 15124180.540op/s 0.78% -0.041 -0.251 0.30% 3185.736op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 4.269µs 4.286µs ± 0.003µs 4.285µs ± 0.001µs 4.287µs 4.289µs 4.292µs 4.295µs 0.22% -0.862 7.426 0.06% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 232830008.855op/s 233339665.932op/s ± 144589.120op/s 233346132.047op/s ± 63682.836op/s 233400373.441op/s 233558084.965op/s 233721840.350op/s 234226256.543op/s 0.38% 0.878 7.500 0.06% 10223.995op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 62.606µs 63.081µs ± 0.255µs 63.046µs ± 0.113µs 63.204µs 63.405µs 63.599µs 64.797µs 2.78% 2.986 17.929 0.40% 0.018µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 15432717.380op/s 15852849.303op/s ± 63394.581op/s 15861478.813op/s ± 28357.255op/s 15887418.372op/s 15931874.746op/s 15954367.427op/s 15972844.156op/s 0.70% -2.855 16.845 0.40% 4482.674op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 58.978µs 59.067µs ± 0.036µs 59.072µs ± 0.018µs 59.086µs 59.119µs 59.142µs 59.243µs 0.29% 0.119 2.608 0.06% 0.003µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 16879557.605op/s 16929808.727op/s ± 10261.542op/s 16928618.786op/s ± 5212.350op/s 16935179.331op/s 16949825.720op/s 16954985.024op/s 16955598.375op/s 0.16% -0.111 2.582 0.06% 725.601op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.831µs 6.842µs ± 0.004µs 6.843µs ± 0.002µs 6.845µs 6.848µs 6.854µs 6.856µs 0.20% -0.006 0.981 0.06% 0.000µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 145848286.856op/s 146147287.464op/s ± 91198.832op/s 146144611.193op/s ± 50821.377op/s 146197521.952op/s 146320345.562op/s 146364723.001op/s 146396566.670op/s 0.17% 0.012 0.978 0.06% 6448.731op/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 [4.285µs; 4.286µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/ throughput [233344278.496op/s; 233394941.410op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [97.983µs; 98.184µs] or [-0.102%; +0.102%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [10185661.939op/s; 10206228.184op/s] or [-0.101%; +0.101%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [92.661µs; 92.868µs] or [-0.112%; +0.112%] None None None
credit_card/is_card_number/ 378282246310005 throughput [10768752.484op/s; 10792569.084op/s] or [-0.110%; +0.110%] None None None
credit_card/is_card_number/37828224631 execution_time [4.286µs; 4.287µs] or [-0.016%; +0.016%] None None None
credit_card/is_card_number/37828224631 throughput [233263741.855op/s; 233338257.766op/s] or [-0.016%; +0.016%] None None None
credit_card/is_card_number/378282246310005 execution_time [83.789µs; 83.878µs] or [-0.053%; +0.053%] None None None
credit_card/is_card_number/378282246310005 throughput [11922192.575op/s; 11934892.729op/s] or [-0.053%; +0.053%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [59.078µs; 59.088µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [16923986.906op/s; 16926652.335op/s] or [-0.008%; +0.008%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.843µs; 6.844µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/x371413321323331 throughput [146110735.905op/s; 146137216.879op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ execution_time [4.286µs; 4.287µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ throughput [233267070.300op/s; 233310590.780op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [76.237µs; 76.297µs] or [-0.040%; +0.040%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [13106780.188op/s; 13117114.283op/s] or [-0.039%; +0.039%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [66.606µs; 66.661µs] or [-0.042%; +0.042%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [15001325.110op/s; 15013812.965op/s] or [-0.042%; +0.042%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [4.285µs; 4.286µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [233319627.270op/s; 233359704.593op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [63.046µs; 63.117µs] or [-0.056%; +0.056%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [15844063.424op/s; 15861635.183op/s] or [-0.055%; +0.055%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [59.062µs; 59.072µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [16928386.576op/s; 16931230.878op/s] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.842µs; 6.843µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [146134648.183op/s; 146159926.745op/s] or [-0.009%; +0.009%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b969586 1738946376 ivoanjo/prof-11306-libdatadog16_0-ruby
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 2.745µs 2.781µs ± 0.020µs 2.778µs ± 0.008µs 2.787µs 2.834µs 2.839µs 2.840µs 2.23% 1.359 2.321 0.70% 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 [2.779µs; 2.784µs] or [-0.097%; +0.097%] None None None

Baseline

Omitted due to size.

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codecov-commenter commented Feb 7, 2025 •
edited
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Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 72.06%. Comparing base (0a4a5a6) to head (b969586).

Additional details and impacted files 
@@            Coverage Diff             @@
##             main     #864      +/-   ##
==========================================
+ Coverage   72.04%   72.06%   +0.02%     
==========================================
  Files         322      322              
  Lines       48168    48168              
==========================================
+ Hits        34703    34713      +10     
+ Misses      13465    13455      -10
Components Coverage Δ
crashtracker 43.16% <ø> (-0.12%) ⬇️
crashtracker-ffi 6.30% <ø> (ø)
datadog-alloc 98.73% <ø> (ø)
data-pipeline 92.66% <ø> (ø)
data-pipeline-ffi 91.53% <ø> (ø)
ddcommon 80.08% <ø> (ø)
ddcommon-ffi 61.05% <ø> (ø)
ddtelemetry 61.74% <ø> (ø)
ddtelemetry-ffi 22.46% <ø> (ø)
dogstatsd 90.01% <ø> (ø)
dogstatsd-client 79.77% <ø> (ø)
ipc 82.68% <ø> (ø)
profiling 80.04% <ø> (ø)
profiling-ffi 70.68% <ø> (ø)
serverless 0.00% <ø> (ø)
sidecar 41.50% <ø> (ø)
sidecar-ffi 9.26% <ø> (ø)
spawn-worker 54.37% <ø> (ø)
tinybytes 92.79% <ø> (ø)
trace-mini-agent 72.48% <ø> (ø)
trace-normalization 98.23% <ø> (ø)
trace-obfuscation 95.96% <ø> (ø)
trace-protobuf 77.67% <ø> (ø)
trace-utils 94.21% <ø> (ø)

@ivoanjo ivoanjo enabled auto-merge (squash) February 7, 2025 16:39
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@sanchda sanchda sanchda approved these changes

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@ivoanjo @codecov-commenter @sanchda