Oxpecker updates - #1276
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/benchmark -f oxpecker |
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👋 Benchmark request received. A collaborator will review and approve the run. |
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/benchmark -f aspnet-minimal |
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👋 Benchmark request received. A collaborator will review and approve the run. |
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btw aspnet values on site are not updated as it is being modified (nerfing static files tests) |
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/benchmark -f oxpecker --save |
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👋 Benchmark request received. A collaborator will review and approve the run. |
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@MDA2AV Yeah, I've noticed the changes with static files and trying to be compliant with them |
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Description
Updates for static files, for fortunes, several code simplifications.
PR Commands — comment on this PR to trigger (requires collaborator approval):
/benchmark -f <framework>/benchmark -f <framework> -t <test>/benchmark -f <framework> --save/benchmark -f <framework> -t <test> --save/benchmark -f <framework> --compare <other>/benchmark-multiple -f <fw1>,<fw2>,...-tand--savetoo; saved results land in a single commit/benchmark-multiple --save-fneeded: benchmark and save every framework the PR touches/benchmark-test -t <test><test>and save the resultsFor
/benchmark, always specify-f <framework>; the flags combine in any order. Results come back as a comment with a per-profile table of RPS, p99, CPU and memory — one table per framework on multi runs. A new benchmark comment while a run is in flight queues behind it (one deep) instead of cancelling it. For multi-framework PRs (dependency bumps, same-language refactors) prefer/benchmark-multiple, which runs everything in a single job and commits all saved results together, so no run overwrites another.--compareworks on single-framework runs only.What the deltas are measured against. By default, this framework's own results published on
main- answering "did this change help?". When you are tuning a variant or a successor entry,--comparere-bases them on another entry instead:The reply states which baseline it used, and profiles the other framework does not run show
n/arather than a delta.Run benchmarks locally
You can validate and benchmark your framework locally with the lite script — no CPU pinning, fixed connection counts, all load generators run in Docker.
Requirements: Docker Engine on Linux. Load generators (gcannon, h2load, h2load-h3, wrk, ghz) are built as self-contained Docker images on first run.