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ci: add auto-commit of rustfmt changes action to CI APMSP-2770#1548

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gh-worker-dd-mergequeue-cf854d[bot] merged 4 commits intomainfrom
ekump/auto-rustfmt-action
Mar 27, 2026
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ci: add auto-commit of rustfmt changes action to CI APMSP-2770#1548
gh-worker-dd-mergequeue-cf854d[bot] merged 4 commits intomainfrom
ekump/auto-rustfmt-action

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@ekump ekump commented Feb 10, 2026 •
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What does this PR do?

Introduces a new GH workflow that uses rustfmt-check and can automatically apply rustfmt changes via a commit on your PR.

This is currently opt-in via the commit-rustfmt-changes label.

The existing validation workflow still exists and is required to pass.

Motivation

What inspired you to submit this pull request?

Additional Notes

Anything else we should know when reviewing?

How to test the change?

Describe here in detail how the change can be validated.

@ekump ekump changed the title add auto-format action to CI [WIP] add auto-format action to CI Feb 10, 2026
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github-actions Bot commented Feb 10, 2026

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

  • Base Branch: origin/main
  • PR Branch: origin/ekump/auto-rustfmt-action

Summary by Rule

Rule Base Branch PR Branch Change

Annotation Counts by File

File Base Branch PR Branch Change

Annotation Stats by Crate

Crate Base Branch PR Branch Change
clippy-annotation-reporter 5 5 No change (0%)
datadog-ffe-ffi 1 1 No change (0%)
datadog-ipc 27 27 No change (0%)
datadog-live-debugger 6 6 No change (0%)
datadog-live-debugger-ffi 10 10 No change (0%)
datadog-profiling-replayer 4 4 No change (0%)
datadog-remote-config 3 3 No change (0%)
datadog-sidecar 59 59 No change (0%)
libdd-common 10 10 No change (0%)
libdd-common-ffi 12 12 No change (0%)
libdd-crashtracker 12 12 No change (0%)
libdd-data-pipeline 6 6 No change (0%)
libdd-ddsketch 2 2 No change (0%)
libdd-dogstatsd-client 1 1 No change (0%)
libdd-profiling 13 13 No change (0%)
libdd-telemetry 19 19 No change (0%)
libdd-tinybytes 4 4 No change (0%)
libdd-trace-normalization 2 2 No change (0%)
libdd-trace-obfuscation 9 9 No change (0%)
libdd-trace-utils 15 15 No change (0%)
Total 220 220 No change (0%)

About This Report

This report tracks Clippy allow annotations for specific rules, showing how they've changed in this PR. Decreasing the number of these annotations generally improves code quality.

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pr-commenter Bot commented Feb 10, 2026 •
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Benchmarks

Comparison

Benchmark execution time: 2026-02-10 18:12:52

Comparing candidate commit 2ae590b in PR branch ekump/auto-rustfmt-action with baseline commit 72e56a3 in branch main.

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

Candidate

Candidate benchmark details

Group 1

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2ae590b 1770746238 ekump/auto-rustfmt-action
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profile_add_sample2_frames_x1000 execution_time 526.585µs 527.471µs ± 0.483µs 527.421µs ± 0.186µs 527.601µs 528.000µs 528.618µs 532.647µs 0.99% 6.378 64.645 0.09% 0.034µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample2_frames_x1000 execution_time [527.404µs; 527.538µs] or [-0.013%; +0.013%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2ae590b 1770746238 ekump/auto-rustfmt-action
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 10.677ms 10.713ms ± 0.016ms 10.711ms ± 0.008ms 10.719ms 10.739ms 10.760ms 10.794ms 0.78% 1.444 5.027 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 [10.711ms; 10.716ms] or [-0.021%; +0.021%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2ae590b 1770746238 ekump/auto-rustfmt-action
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 160.565µs 161.375µs ± 0.367µs 161.303µs ± 0.154µs 161.484µs 161.905µs 162.189µs 164.717µs 2.12% 4.069 33.201 0.23% 0.026µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching string interning on wordpress profile execution_time [161.324µs; 161.426µs] or [-0.031%; +0.031%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2ae590b 1770746238 ekump/auto-rustfmt-action
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
sql/obfuscate_sql_string execution_time 89.024µs 89.366µs ± 0.165µs 89.360µs ± 0.073µs 89.431µs 89.551µs 90.088µs 90.595µs 1.38% 2.827 18.136 0.18% 0.012µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [89.343µs; 89.389µs] or [-0.026%; +0.026%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2ae590b 1770746238 ekump/auto-rustfmt-action
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 34.564µs 34.996µs ± 0.704µs 34.677µs ± 0.058µs 34.805µs 36.398µs 36.444µs 39.021µs 12.53% 2.166 5.026 2.01% 0.050µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [34.899µs; 35.094µs] or [-0.279%; +0.279%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2ae590b 1770746238 ekump/auto-rustfmt-action
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 206.037µs 206.710µs ± 0.320µs 206.685µs ± 0.227µs 206.929µs 207.229µs 207.671µs 207.720µs 0.50% 0.494 0.170 0.15% 0.023µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 4814177.936op/s 4837700.525op/s ± 7486.005op/s 4838282.057op/s ± 5309.217op/s 4842972.507op/s 4848697.159op/s 4851386.532op/s 4853494.641op/s 0.31% -0.485 0.154 0.15% 529.340op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 18.591µs 18.694µs ± 0.129µs 18.661µs ± 0.025µs 18.693µs 18.900µs 19.049µs 20.027µs 7.32% 6.184 55.952 0.69% 0.009µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 49933267.151op/s 53494885.285op/s ± 354970.688op/s 53588584.542op/s ± 70511.071op/s 53650202.952op/s 53727774.135op/s 53766923.903op/s 53790865.673op/s 0.38% -5.796 50.121 0.66% 25100.218op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.754µs 10.839µs ± 0.034µs 10.835µs ± 0.021µs 10.860µs 10.900µs 10.944µs 10.957µs 1.13% 0.573 0.623 0.32% 0.002µs 1 200
normalization/normalize_name/normalize_name/good throughput 91264013.554op/s 92263210.850op/s ± 291962.817op/s 92296842.589op/s ± 182595.159op/s 92446144.431op/s 92703255.971op/s 92853917.832op/s 92991295.731op/s 0.75% -0.551 0.584 0.32% 20644.889op/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 [206.666µs; 206.755µs] or [-0.021%; +0.021%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [4836663.037op/s; 4838738.014op/s] or [-0.021%; +0.021%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [18.676µs; 18.712µs] or [-0.096%; +0.096%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [53445689.761op/s; 53544080.808op/s] or [-0.092%; +0.092%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.834µs; 10.843µs] or [-0.044%; +0.044%] None None None
normalization/normalize_name/normalize_name/good throughput [92222747.611op/s; 92303674.088op/s] or [-0.044%; +0.044%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2ae590b 1770746238 ekump/auto-rustfmt-action
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 144.435µs 146.135µs ± 1.582µs 145.984µs ± 0.565µs 146.534µs 147.540µs 151.913µs 161.003µs 10.29% 5.418 42.635 1.08% 0.112µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sdk_test_data/rules-based execution_time [145.915µs; 146.354µs] or [-0.150%; +0.150%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2ae590b 1770746238 ekump/auto-rustfmt-action
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 2.356µs 2.430µs ± 0.020µs 2.432µs ± 0.005µs 2.442µs 2.454µs 2.456µs 2.456µs 1.00% -1.880 4.020 0.84% 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 [2.427µs; 2.433µs] or [-0.116%; +0.116%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2ae590b 1770746238 ekump/auto-rustfmt-action
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 5.029µs 5.119µs ± 0.059µs 5.123µs ± 0.057µs 5.148µs 5.217µs 5.221µs 5.226µs 2.02% 0.087 -1.089 1.15% 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 [5.111µs; 5.127µs] or [-0.160%; +0.160%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2ae590b 1770746238 ekump/auto-rustfmt-action
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 13.958ms 14.022ms ± 0.031ms 14.018ms ± 0.014ms 14.032ms 14.082ms 14.129ms 14.202ms 1.31% 1.857 6.780 0.22% 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 [14.017ms; 14.026ms] or [-0.031%; +0.031%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2ae590b 1770746238 ekump/auto-rustfmt-action
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 241.227ns 251.755ns ± 12.870ns 245.787ns ± 3.408ns 255.797ns 283.087ns 290.371ns 292.448ns 18.98% 1.687 1.961 5.10% 0.910ns 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 [249.972ns; 253.539ns] or [-0.709%; +0.709%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2ae590b 1770746238 ekump/auto-rustfmt-action
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 49.859ms 50.238ms ± 1.355ms 50.069ms ± 0.064ms 50.129ms 50.254ms 59.687ms 62.355ms 24.54% 7.969 62.792 2.69% 0.096ms 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 [50.050ms; 50.425ms] or [-0.374%; +0.374%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2ae590b 1770746238 ekump/auto-rustfmt-action
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 535.150µs 536.655µs ± 1.283µs 536.268µs ± 0.535µs 537.116µs 538.748µs 540.408µs 546.146µs 1.84% 2.803 14.354 0.24% 0.091µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1831010.642op/s 1863403.994op/s ± 4425.496op/s 1864738.761op/s ± 1861.777op/s 1866283.633op/s 1867513.024op/s 1868049.265op/s 1868636.195op/s 0.21% -2.744 13.744 0.24% 312.930op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 384.575µs 385.333µs ± 0.314µs 385.275µs ± 0.184µs 385.524µs 385.891µs 386.267µs 386.305µs 0.27% 0.736 0.463 0.08% 0.022µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2588626.634op/s 2595161.210op/s ± 2116.710op/s 2595548.481op/s ± 1238.059op/s 2596582.773op/s 2597887.531op/s 2599014.878op/s 2600275.180op/s 0.18% -0.732 0.456 0.08% 149.674op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 189.583µs 190.019µs ± 0.212µs 189.997µs ± 0.120µs 190.115µs 190.356µs 190.602µs 191.258µs 0.66% 1.370 5.299 0.11% 0.015µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5228537.357op/s 5262642.906op/s ± 5856.697op/s 5263250.588op/s ± 3320.700op/s 5266726.262op/s 5270963.260op/s 5273164.268op/s 5274730.269op/s 0.22% -1.352 5.189 0.11% 414.131op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 36.505µs 36.612µs ± 0.047µs 36.612µs ± 0.026µs 36.636µs 36.691µs 36.731µs 36.770µs 0.43% 0.438 0.412 0.13% 0.003µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 27195854.834op/s 27313451.860op/s ± 34785.326op/s 27313786.634op/s ± 19549.639op/s 27335314.494op/s 27368440.845op/s 27379389.017op/s 27393279.939op/s 0.29% -0.430 0.398 0.13% 2459.694op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 45.943µs 46.055µs ± 0.049µs 46.047µs ± 0.030µs 46.081µs 46.135µs 46.209µs 46.284µs 0.52% 1.161 2.617 0.11% 0.003µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21605588.069op/s 21713325.746op/s ± 23078.645op/s 21717143.145op/s ± 14093.895op/s 21728784.332op/s 21742293.309op/s 21752741.721op/s 21766096.210op/s 0.23% -1.151 2.576 0.11% 1631.907op/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 [536.478µs; 536.833µs] or [-0.033%; +0.033%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [1862790.663op/s; 1864017.325op/s] or [-0.033%; +0.033%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [385.289µs; 385.376µs] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2594867.854op/s; 2595454.566op/s] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [189.989µs; 190.048µs] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5261831.224op/s; 5263454.588op/s] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [36.606µs; 36.619µs] or [-0.018%; +0.018%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [27308630.948op/s; 27318272.771op/s] or [-0.018%; +0.018%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [46.048µs; 46.062µs] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21710127.268op/s; 21716524.224op/s] or [-0.015%; +0.015%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2ae590b 1770746238 ekump/auto-rustfmt-action
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 17.851µs 25.543µs ± 9.797µs 18.015µs ± 0.098µs 34.102µs 43.462µs 50.203µs 59.435µs 229.92% 0.939 -0.060 38.26% 0.693µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [24.185µs; 26.901µs] or [-5.316%; +5.316%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2ae590b 1770746238 ekump/auto-rustfmt-action
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
single_flag_killswitch/rules-based execution_time 188.135ns 191.015ns ± 2.426ns 190.798ns ± 1.642ns 192.140ns 195.278ns 198.926ns 201.918ns 5.83% 1.329 2.593 1.27% 0.172ns 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 [190.679ns; 191.352ns] or [-0.176%; +0.176%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2ae590b 1770746238 ekump/auto-rustfmt-action
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
receiver_entry_point/report/2597 execution_time 9.674ms 9.981ms ± 0.083ms 9.991ms ± 0.036ms 10.029ms 10.086ms 10.122ms 10.191ms 2.00% -1.338 2.563 0.83% 0.006ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
receiver_entry_point/report/2597 execution_time [9.969ms; 9.992ms] or [-0.115%; +0.115%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2ae590b 1770746238 ekump/auto-rustfmt-action
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profile_add_sample_frames_x1000 execution_time 3.877ms 3.882ms ± 0.007ms 3.881ms ± 0.001ms 3.882ms 3.885ms 3.889ms 3.973ms 2.36% 11.965 156.315 0.18% 0.000ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample_frames_x1000 execution_time [3.881ms; 3.883ms] or [-0.024%; +0.024%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2ae590b 1770746238 ekump/auto-rustfmt-action
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 1.239µs 3.183µs ± 1.389µs 2.983µs ± 0.031µs 3.008µs 3.656µs 13.643µs 14.695µs 392.61% 7.354 55.310 43.53% 0.098µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [2.990µs; 3.375µs] or [-6.048%; +6.048%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2ae590b 1770746238 ekump/auto-rustfmt-action
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
credit_card/is_card_number/ execution_time 3.891µs 3.912µs ± 0.003µs 3.912µs ± 0.001µs 3.913µs 3.916µs 3.919µs 3.922µs 0.26% -1.313 14.658 0.07% 0.000µs 1 200
credit_card/is_card_number/ throughput 254991226.387op/s 255639839.311op/s ± 181504.303op/s 255651311.209op/s ± 80130.972op/s 255728245.185op/s 255872642.404op/s 255922785.408op/s 256983659.075op/s 0.52% 1.345 14.885 0.07% 12834.292op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 79.745µs 82.463µs ± 0.576µs 82.466µs ± 0.416µs 82.929µs 83.280µs 83.488µs 83.629µs 1.41% -0.730 1.651 0.70% 0.041µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 11957610.858op/s 12127305.503op/s ± 85126.949op/s 12126146.915op/s ± 61224.553op/s 12180236.531op/s 12256347.215op/s 12358667.953op/s 12539956.980op/s 3.41% 0.798 1.945 0.70% 6019.384op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 74.498µs 75.027µs ± 0.176µs 75.012µs ± 0.093µs 75.106µs 75.334µs 75.456µs 75.719µs 0.94% 0.415 1.030 0.23% 0.012µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 13206801.661op/s 13328628.736op/s ± 31310.352op/s 13331120.103op/s ± 16482.905op/s 13346298.178op/s 13375417.188op/s 13395479.216op/s 13423134.773op/s 0.69% -0.395 1.007 0.23% 2213.976op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.889µs 3.912µs ± 0.003µs 3.912µs ± 0.001µs 3.913µs 3.916µs 3.919µs 3.926µs 0.36% -1.220 16.504 0.08% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 254731815.316op/s 255645036.512op/s ± 200367.461op/s 255650301.605op/s ± 89767.090op/s 255740963.309op/s 255876211.716op/s 255934918.824op/s 257146681.516op/s 0.59% 1.260 16.753 0.08% 14168.119op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 71.400µs 72.039µs ± 0.178µs 72.036µs ± 0.095µs 72.130µs 72.329µs 72.460µs 72.516µs 0.67% -0.080 0.629 0.25% 0.013µs 1 200
credit_card/is_card_number/378282246310005 throughput 13790124.426op/s 13881359.018op/s ± 34382.856op/s 13881981.883op/s ± 18425.415op/s 13900175.154op/s 13942656.455op/s 13958765.371op/s 14005644.577op/s 0.89% 0.100 0.646 0.25% 2431.235op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 52.155µs 52.211µs ± 0.034µs 52.205µs ± 0.019µs 52.227µs 52.272µs 52.315µs 52.444µs 0.46% 2.175 10.195 0.07% 0.002µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 19068102.124op/s 19153070.521op/s ± 12637.319op/s 19155158.732op/s ± 6996.969op/s 19160850.072op/s 19169350.030op/s 19171480.028op/s 19173619.018op/s 0.10% -2.160 10.075 0.07% 893.593op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 5.695µs 5.875µs ± 0.054µs 5.876µs ± 0.043µs 5.915µs 5.964µs 5.993µs 5.999µs 2.09% -0.084 -0.195 0.91% 0.004µs 1 200
credit_card/is_card_number/x371413321323331 throughput 166698677.645op/s 170217746.439op/s ± 1552122.776op/s 170182066.085op/s ± 1251486.554op/s 171486420.501op/s 172587462.337op/s 173374426.583op/s 175594708.430op/s 3.18% 0.134 -0.146 0.91% 109751.654op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.896µs 3.912µs ± 0.002µs 3.911µs ± 0.001µs 3.913µs 3.916µs 3.919µs 3.920µs 0.21% -0.558 7.761 0.06% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 255120621.070op/s 255655206.857op/s ± 161258.865op/s 255660449.334op/s ± 78194.114op/s 255737823.624op/s 255864376.234op/s 255919021.692op/s 256668203.798op/s 0.39% 0.575 7.852 0.06% 11402.724op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 64.097µs 64.331µs ± 0.121µs 64.311µs ± 0.060µs 64.369µs 64.505µs 64.833µs 64.875µs 0.88% 1.866 5.018 0.19% 0.009µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15414241.435op/s 15544560.669op/s ± 29254.928op/s 15549556.465op/s ± 14428.172op/s 15563991.927op/s 15575473.225op/s 15590775.842op/s 15601366.680op/s 0.33% -1.846 4.927 0.19% 2068.636op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 57.382µs 57.564µs ± 0.113µs 57.547µs ± 0.056µs 57.606µs 57.739µs 58.052µs 58.165µs 1.07% 1.978 6.802 0.20% 0.008µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 17192425.531op/s 17371887.659op/s ± 33939.808op/s 17377032.778op/s ± 16889.061op/s 17392298.691op/s 17411068.478op/s 17422747.978op/s 17427168.956op/s 0.29% -1.950 6.639 0.19% 2399.907op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.893µs 3.912µs ± 0.002µs 3.912µs ± 0.001µs 3.913µs 3.915µs 3.918µs 3.919µs 0.18% -1.881 16.722 0.06% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 255191999.032op/s 255651772.426op/s ± 159756.463op/s 255647793.355op/s ± 88757.176op/s 255744591.599op/s 255846167.518op/s 255909388.317op/s 256887830.070op/s 0.49% 1.909 16.963 0.06% 11296.488op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 54.570µs 54.817µs ± 0.187µs 54.755µs ± 0.070µs 54.868µs 55.179µs 55.496µs 55.676µs 1.68% 1.823 3.852 0.34% 0.013µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 17961088.626op/s 18242731.084op/s ± 61779.272op/s 18263057.487op/s ± 23256.818op/s 18281253.489op/s 18302994.019op/s 18320071.234op/s 18324925.564op/s 0.34% -1.797 3.716 0.34% 4368.454op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 52.148µs 52.216µs ± 0.031µs 52.213µs ± 0.018µs 52.233µs 52.276µs 52.291µs 52.340µs 0.24% 0.638 0.882 0.06% 0.002µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 19105941.450op/s 19151357.247op/s ± 11518.345op/s 19152310.746op/s ± 6619.795op/s 19158575.329op/s 19168134.223op/s 19173479.780op/s 19176353.638op/s 0.13% -0.634 0.872 0.06% 814.470op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 5.717µs 5.872µs ± 0.054µs 5.868µs ± 0.037µs 5.909µs 5.960µs 5.986µs 6.030µs 2.76% -0.126 0.148 0.92% 0.004µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 165841329.649op/s 170314728.378op/s ± 1568411.703op/s 170419094.839op/s ± 1088352.487op/s 171436328.095op/s 172617084.734op/s 174517683.879op/s 174901959.735op/s 2.63% 0.185 0.175 0.92% 110903.455op/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 [255614684.561op/s; 255664994.062op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [82.383µs; 82.542µs] or [-0.097%; +0.097%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12115507.727op/s; 12139103.280op/s] or [-0.097%; +0.097%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [75.002µs; 75.051µs] or [-0.033%; +0.033%] None None None
credit_card/is_card_number/ 378282246310005 throughput [13324289.423op/s; 13332968.050op/s] or [-0.033%; +0.033%] None None None
credit_card/is_card_number/37828224631 execution_time [3.911µs; 3.912µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/37828224631 throughput [255617267.509op/s; 255672805.515op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/378282246310005 execution_time [72.015µs; 72.064µs] or [-0.034%; +0.034%] None None None
credit_card/is_card_number/378282246310005 throughput [13876593.884op/s; 13886124.151op/s] or [-0.034%; +0.034%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [52.206µs; 52.216µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [19151319.110op/s; 19154821.932op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/x371413321323331 execution_time [5.868µs; 5.883µs] or [-0.126%; +0.126%] None None None
credit_card/is_card_number/x371413321323331 throughput [170002637.150op/s; 170432855.728op/s] or [-0.126%; +0.126%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.911µs; 3.912µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ throughput [255632857.929op/s; 255677555.785op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [64.315µs; 64.348µs] or [-0.026%; +0.026%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15540506.217op/s; 15548615.120op/s] or [-0.026%; +0.026%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [57.549µs; 57.580µs] or [-0.027%; +0.027%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [17367183.928op/s; 17376591.390op/s] or [-0.027%; +0.027%] 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 [255629631.717op/s; 255673913.135op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [54.791µs; 54.843µs] or [-0.047%; +0.047%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [18234169.071op/s; 18251293.097op/s] or [-0.047%; +0.047%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [52.211µs; 52.220µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [19149760.915op/s; 19152953.579op/s] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [5.864µs; 5.879µs] or [-0.127%; +0.127%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [170097361.601op/s; 170532095.156op/s] or [-0.128%; +0.128%] None None None

Baseline

Omitted due to size.

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dd-octo-sts Bot commented Feb 10, 2026 •
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Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 8.76 MB 8.76 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 101.90 MB 101.90 MB 0% (0 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.36 MB 11.36 MB 0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 118.84 MB 118.84 MB 0% (0 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 27.39 MB 27.39 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 80.69 KB 80.69 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 187.19 MB 187.19 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 924.91 MB 924.91 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 9.06 MB 9.06 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 80.69 KB 80.69 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 26.98 MB 26.98 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 61.28 MB 61.28 MB 0% (0 B) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 23.20 MB 23.20 MB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 81.94 KB 81.94 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 191.47 MB 191.46 MB -0% (-8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 908.20 MB 908.20 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 6.90 MB 6.90 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 81.94 KB 81.94 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 29.11 MB 29.11 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 57.68 MB 57.68 MB 0% (0 B) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 88.72 MB 88.72 MB 0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 10.32 MB 10.32 MB 0% (0 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 111.54 MB 111.54 MB 0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 12.07 MB 12.07 MB 0% (0 B) 👌

@github-actions github-actions Bot removed the common label Feb 10, 2026
@ekump ekump force-pushed the ekump/auto-rustfmt-action branch from 9f98074 to cf65565 Compare February 10, 2026 14:49
@ekump ekump added commit-rustfmt-changes allow the rustfmt action to commit changes to your PR and removed commit-rustfmt-changes allow the rustfmt action to commit changes to your PR labels Feb 10, 2026
@ekump ekump force-pushed the ekump/auto-rustfmt-action branch from 493e5dd to 5020044 Compare February 10, 2026 15:35
@ekump ekump added the commit-rustfmt-changes allow the rustfmt action to commit changes to your PR label Feb 10, 2026
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codecov-commenter commented Feb 10, 2026 •
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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.14%. Comparing base (a29b90b) to head (ad34bd4).

Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #1548      +/-   ##
==========================================
- Coverage   71.16%   71.14%   -0.02%     
==========================================
  Files         414      414              
  Lines       65739    65739              
==========================================
- Hits        46786    46773      -13     
- Misses      18953    18966      +13
Components Coverage Δ
libdd-crashtracker 65.33% <ø> (+0.06%) ⬆️
libdd-crashtracker-ffi 35.24% <ø> (ø)
libdd-alloc 98.77% <ø> (ø)
libdd-data-pipeline 87.55% <ø> (ø)
libdd-data-pipeline-ffi 75.77% <ø> (ø)
libdd-common 79.79% <ø> (ø)
libdd-common-ffi 73.87% <ø> (ø)
libdd-telemetry 62.48% <ø> (ø)
libdd-telemetry-ffi 16.75% <ø> (ø)
libdd-dogstatsd-client 82.64% <ø> (ø)
datadog-ipc 70.31% <ø> (-2.25%) ⬇️
libdd-profiling 81.61% <ø> (-0.02%) ⬇️
libdd-profiling-ffi 64.94% <ø> (ø)
datadog-sidecar 30.79% <ø> (ø)
datdog-sidecar-ffi 9.37% <ø> (ø)
spawn-worker 54.69% <ø> (ø)
libdd-tinybytes 93.16% <ø> (ø)
libdd-trace-normalization 81.71% <ø> (ø)
libdd-trace-obfuscation 87.37% <ø> (ø)
libdd-trace-protobuf 68.25% <ø> (ø)
libdd-trace-utils 88.64% <ø> (ø)
datadog-tracer-flare 86.88% <ø> (ø)
libdd-log 74.69% <ø> (ø)
🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
  • 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

@ekump ekump force-pushed the ekump/auto-rustfmt-action branch from 5020044 to 8a8ed91 Compare February 10, 2026 17:18
@ekump ekump added commit-rustfmt-changes allow the rustfmt action to commit changes to your PR and removed commit-rustfmt-changes allow the rustfmt action to commit changes to your PR labels Feb 10, 2026
@github-actions github-actions Bot removed the common label Feb 10, 2026
@ekump ekump removed the commit-rustfmt-changes allow the rustfmt action to commit changes to your PR label Feb 10, 2026
@ekump ekump force-pushed the ekump/auto-rustfmt-action branch from bc3d9ac to a3db3f7 Compare February 10, 2026 17:29
@ekump ekump added the commit-rustfmt-changes allow the rustfmt action to commit changes to your PR label Feb 10, 2026
@github-actions github-actions Bot removed the common label Feb 10, 2026
@ekump ekump changed the title [WIP] add auto-format action to CI ci: add auto-commit of rustfmt changes action to CI Feb 10, 2026
@ekump ekump force-pushed the ekump/auto-rustfmt-action branch from 74d5e76 to 2ae590b Compare February 10, 2026 17:57
@ekump ekump marked this pull request as ready for review February 10, 2026 17:57
@ekump ekump requested review from a team as code owners February 10, 2026 17:57
iunanua
iunanua reviewed Feb 11, 2026
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Comment thread .github/workflows/rustfmt-auto.yml
runs-on: ubuntu-latest
if: >-
contains(github.event.pull_request.labels.*.name, 'commit-rustfmt-changes') &&
!startsWith(github.head_ref, 'mq-working-branch')
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@iunanua iunanua Feb 11, 2026

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One option could be to run it only after the PR has been marked as ready with
if: ${{ !github.event.pull_request.draft }}

to reduce the friction caused by the commits due to fmt?

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@ekump ekump Feb 11, 2026

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That seems a bit redundant since you have to opt-in to the action with a label?

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iunanua commented Feb 11, 2026

BTW, the "Documentation Check Results" and "Cargo Deny Results" should be removed by the workflow when no crates are modified. I have made a note of it as an improvement.

@ekump ekump force-pushed the ekump/auto-rustfmt-action branch from 2ae590b to ad34bd4 Compare March 27, 2026 12:38
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datadog-official Bot commented Mar 27, 2026 •
edited by datadog-datadog-prod-us1-2 Bot
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✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 100.00%
• Overall Coverage: 71.15% (-0.02%)

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: ad34bd4 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!

@ekump ekump changed the title ci: add auto-commit of rustfmt changes action to CI ci: add auto-commit of rustfmt changes action to CI APMSP-2770 Mar 27, 2026
paullegranddc
paullegranddc approved these changes Mar 27, 2026
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Comment thread .github/workflows/all-checks.yml
retries: '45'
polling_interval: '1'
checks_exclude: 'devflow/merge,dd-gitlab/default-pipeline'
checks_exclude: 'devflow/merge,dd-gitlab/default-pipeline,Rustfmt Auto / rustfmt'
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@paullegranddc paullegranddc Mar 27, 2026

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It works, but the spaces make me uneasy 😄

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@ekump ekump Mar 27, 2026

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I agree, but I think that's what GH wants.

@gh-worker-dd-mergequeue-cf854d gh-worker-dd-mergequeue-cf854d Bot merged commit f20ea2e into main Mar 27, 2026
102 checks passed
@gh-worker-dd-mergequeue-cf854d gh-worker-dd-mergequeue-cf854d Bot deleted the ekump/auto-rustfmt-action branch March 27, 2026 20:28
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@iunanua iunanua iunanua left review comments

@paullegranddc paullegranddc paullegranddc approved these changes

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ci-build commit-rustfmt-changes allow the rustfmt action to commit changes to your PR mergequeue-status: done

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@ekump @codecov-commenter @iunanua @paullegranddc