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mipyre: replace the pyronova entry (mipyre 3.0.0 from PyPI) - #1668

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MDA2AV merged 5 commits into
MDA2AV:mainfrom
leocaolab:mipyre-3.0.0
Oct 31, 2026
Merged

MDA2AV merged 5 commits into
MDA2AV:mainfrom
leocaolab:mipyre-3.0.0

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@ddxd

@ddxd ddxd commented Oct 27, 2026

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Hi! Pyronova is now mipyre (same engine and authors, new name: https://github.com/leocaolab/mipyre,
pip install mipyre). This PR adds frameworks/mipyre/ and removes frameworks/pyronova/.

What the entry runs.

  • Dockerfile: the released wheel from PyPI (mipyre==3.0.0, cp314 manylinux x86_64) on
    python:3.14-slim. No Rust toolchain, no clone, no -C target-cpu=native: the build is the wheel
    anyone gets from pip install mipyre.
  • launcher.py: one process serves every port: 8080 plain, 8082 plain (h2c prior knowledge),
    and with the certs mounted 8081 and 8443 over TLS. It sizes the server to one thread per physical
    core of the container's cpuset (32 on 0-31,64-95, 4 on 0-3,64-67) and gives every setting as a
    MIPYRE_* variable; mipyre refuses a MIPYRE_* name it does not read, so a renamed setting stops
    the start instead of silently running on defaults.
  • app.py: one sub-interpreter per thread runs every route; async def routes (/delay/{ms}) run
    on their worker's asyncio loop.

Changes against the current pyronova entry, profile by profile.

  • 8gbit: /echo is a plain route returning Response(req.body). The current line
    (@app.post("/echo", gil=True, stream=True)) is our fault: in pyronova stream=True required
    gil=True, so every echo queued for the main interpreter's single GIL (3.7 cores, 28.6k rps,
    1.03 s mean latency on the Arena).
  • json-comp / json-tls: /json/{count} builds the items and returns the dict on every request;
    the per-worker cache of serialized responses keyed by (count, m) is gone (the tuned rules forbid
    response caching keyed by URL or parameters).
  • baseline: the handlers return the sum as a str (text/plain; charset=utf-8), read a and
    b with req.query_param(), and parse the POST body with int(req.body).
  • unary-grpc / unary-grpc-tls: the GetSum service is opt-in, so the app calls
    app.enable_grpc_benchmark().
  • New subscriptions: baseline-h2c, json-h2c (port 8082), async (/delay/{ms}), static-tls
    (app.static(..., precompressed=True) on every port), fortunes (PgPool query, runtime row,
    sort, html.escape) and latency-500k-8cpu (no new code: the cpuset gives 4 threads).
  • The CRUD routes and /json-comp/{count} are gone: no profile drives them since profiles: remove static and crud #1374.
  • echo-ws is not subscribed in this PR; /ws stays in app.py.

Tier. meta.json lists the entry as production: mipyre 3.0.0 is a stable release on PyPI
(Development Status :: 5 - Production/Stable), not the experimental pyronova line. Happy to change
anything in the entry if you see it differently.

Validated with scripts/validate.sh mipyre at d92ece0b2 (no changes to scripts/validate.sh or the
profiles since) on an image built from this Dockerfile, installing mipyre==3.0.0 from PyPI:
113 passed, 0 failed, every subscribed profile.

Thanks for running the Arena!

@MDA2AV

MDA2AV commented Oct 27, 2026

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/benchmark --save

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👋 Benchmark request received. A collaborator will review and approve the run.

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Benchmark Results

Framework: mipyre | Test: all tests

Test Conn RPS Rate CPU/req p99 p99.9 CPU Mem Δ RPS Δ Mem
baseline 4096 1,646,527 — — — — 3401.1% 993MiB ~0% ~0%
pipelined 4096 13,081,145 — — — — 3225.9% 1009MiB ~0% ~0%
limited-conn 4096 1,248,838 — — — — 3216.9% 1013MiB ~0% ~0%
json-comp 4096 372,947 — — — — 3157.7% 1.1GiB ~0% ~0%
json-comp 16384 363,369 — — — — 3127.9% 1.9GiB ~0% ~0%
json-tls 4096 696,589 — — — — 3350.6% 1020MiB ~0% ~0%
8gbit 512 49,417 0.9883 45.15us 116.0us 5714.0us 229.0% 780MiB ~0% ~0%
static-tls 1024 1,057,187 — — — — 3300.4% 958MiB ~0% ~0%
async-db 1024 79,202 — — — — 2082.0% 868MiB ~0% ~0%
fortunes 1024 37,918 — — — — 2808.9% 885MiB ~0% ~0%
baseline-h2 256 3,691,888 — — — — 3210.1% 956MiB ~0% ~0%
baseline-h2 1024 3,091,442 — — — — 3208.1% 1.5GiB ~0% ~0%
static-h2 256 939,225 — — — — 3166.5% 933MiB ~0% ~0%
static-h2 1024 854,528 — — — — 3113.7% 1.1GiB ~0% ~0%
baseline-h2c 256 3,859,085 — — — — 3211.8% 937MiB ~0% ~0%
baseline-h2c 1024 3,133,826 — — — — 3181.6% 1.5GiB ~0% ~0%
baseline-h2c 4096 3,004,891 — — — — 3103.0% 3.5GiB ~0% ~0%
json-h2c 1024 826,041 — — — — 3213.1% 1.0GiB ~0% ~0%
json-h2c 4096 798,540 — — — — 3214.4% 2.0GiB ~0% ~0%
unary-grpc 256 3,760,178 — — — — 3186.7% 1.0GiB ~0% ~0%
unary-grpc 1024 2,967,747 — — — — 3209.0% 1.6GiB ~0% ~0%
unary-grpc-tls 256 3,633,928 — — — — 3165.7% 1.0GiB ~0% ~0%
unary-grpc-tls 1024 2,878,774 — — — — 3121.9% 1.5GiB ~0% ~0%
latency-1m 1024 997,502 0.9975 21.31us 196.0us 3775.0us 2261.9% 802MiB ~0% ~0%
latency-10k 1024 9,983 0.9983 39.05us 132.0us 4566.0us 37.2% 795MiB ~0% ~0%
latency-500k-8cpu 1024 241,070 0.4821 ⚠️ 16.55us 10784768.0us 11194368.0us 387.3% 208MiB ~0% ~0%
async 32000 108,485 — — — — 1637.5% 2.3GiB ~0% ~0%
Full log
  "bytes_per_sec": 1386948.30,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 0,
  "latency_us": {
    "min": 38, "mean": 94.0, "stdev": 727.6, "max": 52223,
    "p50": 64, "p75": 102, "p90": 110, "p99": 132, "p99_9": 815, "p99_99": 42384
  },
  "status_codes": { "1xx": 0, "2xx": 199583, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": "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"
}
[info] CPU 37.8% | Mem 801MiB
[info] run 1 wins on score

=== Best: 9983 req/s (CPU: 37.2%, Mem: 795MiB) ===
[info] exact CPU: 7.80 core-seconds | 39.050 us/req
=== Fixed-rate: cpu/req 39.05us | p99 132.0us | p99.9 4566.0us | rate_ratio 0.9983 ===
[info] saved results/latency-10k/1024/mipyre.json
httparena-bench-mipyre
httparena-bench-mipyre

==============================================
=== mipyre / latency-500k-8cpu / 1024c (tool=zrk) ===
==============================================
[info] waiting for server...
[info] server ready

[run 1/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.006,
  "requests": 4803820,
  "bytes": 667730980,
  "achieved_rate": 240120.84,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.4802,
  "bytes_per_sec": 33376797.11,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 11453643,
  "latency_us": {
    "min": 54, "mean": 5168668.1, "stdev": 2989731.4, "max": 11460607,
    "p50": 5142528, "p75": 7702528, "p90": 9244672, "p99": 10973184, "p99_9": 11382784, "p99_99": 11431936
  },
  "status_codes": { "1xx": 0, "2xx": 4803820, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": "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"
}
[info] CPU 386.6% | Mem 192MiB

[run 2/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.007,
  "requests": 4803975,
  "bytes": 667752525,
  "achieved_rate": 240110.65,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.4802,
  "bytes_per_sec": 33375380.31,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 11234554,
  "latency_us": {
    "min": 43, "mean": 5149690.3, "stdev": 3001529.1, "max": 11239423,
    "p50": 5117952, "p75": 7690240, "p90": 9220096, "p99": 10752000, "p99_9": 11161600, "p99_99": 11202560
  },
  "status_codes": { "1xx": 0, "2xx": 4803975, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": 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boNavzWtpLcnzzWuE+7Q/MtrHflR4ac9pHaLTq3VOaK8701rHAJbak2x0DGq/dQyj9XGA2/tfk1rnpDahvfuQ0t4Potvdq70b0N73DOO0T/uYwgdYfh/QOpJAefMxi0xnSuuZ1rp/y2htA3hJah+B1Ktlte6O9g+tg9oYmq1ZnPVqgjaldXb+9uvbnNY2hLWePm1W6+rFeXef9ra79feO9tYcCHJad2cSDsY0JN+8a+/+2Nnd/T6jjIG9D1VA4/pja2tnlq2c1vphUB1+6J7Q3mO+HQMfMspjSnvzXinw1y1Q3sluTuvpbG3v6NXetk9rncSV0ySe9l7h711bZ3tG6xnQej4Oa50fk3KQxnrHH5KErBDQ04Zk54d2rI6Dp6OnJ4fptNaa0n7rbG/Lap29Wpt4k8SBRShrh+j3LzvedvYLtxlNIuoQ7tvedrW3vX3d3j1FEB1C35iQ8qGz+93r9je9bI5i6U3PJHdy2q+1Yv3NH/IiWe94l+EgJciTWtuY1vXbS8nfoNbVmtHed38QioaQ+IW66dO64S0p0t0ZstGewvof3W2dOYTejfDyoasLUO0df7QiOYCd3/o0Mdcp1n9N4bvr7Ygm5IuVno8jWtfbPq2LCNtyEldb+0fuv+fkcEj7o71LEt/a09bd9e6tpA651o85IqJiuv6Qykhr3R//aH9DSn7v6ZA8kMSU9qEN1jPaL7/8Do/9WrvkrGsC8beD3Nre//7buy4pcWmUEWENxj52dbS3dXaltQ/tXd1kvbuzIytl9msaq++T2rvOro6O1h589/z6R5bMCYFt7973C22tnS97erp/66LAhoSlHNx1dXV3v3rd2j2mSRxtkgY4Jc1E+Ob3j6MsqcN31FVHd3vXW6okpb1VHdqWpkSpse7uzvbW12lthoifd73v6e6R0mp92/ZrDwnq6aJuPqalPVF71/Pi9460VKqUC1F0CMXdv7/9o0vy3PbxTfIxFa3dnRTau1/7tWEE3rd3tL9vI3ntbR87hNDuAe1dVjr2wxt2RrTfu34nqAmNlqTTcNfd0dr2/k1bv1QpM0ElvKur833rG1VK3Z2Zx+Lt7m7vfNf2qovYh7W3Pd2dPTD/saet9T1N1pPUWrulcTraPnZ3s9fZIy30/kN3O+x14Iaubn/7TpL+UQ2ONz00PS32vq3jozTmh068ZLH4sbPr94z2qq1zlPMs8gi1f3jf/vEtPPfIrFBxETlj6X3rHx1vuruksVp7OgcA0d4qDHa/ewm1Mhl6JcYOiqyr82Pru24K/d1Hqgmw3cpt+4e3tGLb++63o/RIVnvLy5us9lsbo29E62zDbBqf75kDb1oZkSPaG8bYuXapXWvH2pl2pT1oR9qAZVc71TKW79qtNsz9gtOk5Vrb1m74nXF+wXMXyVMtbTnWJixX2ol2p61on7V5Sy+nGcs9O1vagdZrOdFyljs8XCJ9wsmxdoi9B6xeYWPI8qBtaOfaPXbPORmx7LBOWs4UojVWD9i411KWA21f2wPDpPKewe4e52lL2nKKxCZYxcsaFnot+0gc4KEX9BnLpTq5Y2+N3RS2H3i7xc8piAXhA1JnyF+A+Ya3G5DeKrx7RHtPpBnLEb532e3H3pWK507b4XxHm1I715pE/p2dC86ylozlFr0b7Rs6x8Rxr3zsE62wc4V2L+9icxD+9tjNWPbY31HRXYB0F1/3aJwojNdYvcDSFSz1KbRJy7nicJPVLUxcE9EB9vdg9YI4b1XmvuFDbF+B45yzB2yccz9B6xR9YV0YX1dZSWN5B41RsNxpErlweMTqnjyekaVTOPrGecoiEV9q65qwnQThDdqXaJ+DIkPezrHwHa0LbVXFfIfPLHI7qsoOkB/AYtpyqC2BQypMMinYJNc5GJcMHikGrrAgvCzzJuxsEd/DD/kTVYkp7JzznuN5iMcUWM61cSrjnueGqttjMEh1n8DZJasHYj5D+kATfoXFJFr7muTjjErb5ewMS73Y3P1RKfu8S72L733F0Qn2b/FwSV768HGjTjc4k6hvVVa+Kyak4nIWqU3xcKxJp0iOrjXJ9yWSW6oyJbPfsZoiQzfsnCLdZ/mK91vF8RWS32B+DFvH7F2pqthSdXFHPe2pnrpWGbkC8TGWLlTMExbxI7V9wCX87sBDyiKID5GQ3u7j7QLNDTwMqHj6VMTfVb+K3XNVB6eKm1NyKnV8rEn+JNp9VZsZKuo753tU8R5+UrC1g48bZMTiIdLfsNCravNUzYMtdKWPpecFz7bqpG01H65VjW1z3kdN7Cq5FGfC8I7qPplBm4qhc3zuYKuX8wN2ZUrcYGWL36WaMY/1f6ZJLUjfDsDLlqrYA+zfsiss7SmdFLri5bH7dpCQGLOWIXDIRDrRpJ/vVdVfEfO14lu6dZ8YJD+jCueJsr6i5kvaIpV9xalEd8HJkeqGBxhZZudGRX6motxF6xzJUZXLKzX1cuC9Vbs5ywqyGYtMkxv8SSYfVEVdoyn7kqnHarhTWUsS/+OsSVtkyh+oPMv6WrF1qC3yfqdJJTzmYROObnk+4EkmxDk4zvmJpX60DtU829Wk+gSZVL90zZ3q9Esw7XNP4kNQX+JlldrN0F85mDlVs+0IjTvsXPB+rLh6nCD7xH0EaweqNrPIHKtvxbqa1PfsCuo95O4VW4JTJtsR6KXHhvFwoXrymo7eUV+RSWpxW9Wu6MtUPFWs7auYhZt7Yt7HTr+atPdISx2kVX+lLdIL23gYscgUP1VZeSBv0ptS2cLWOhgH6dk7/OYsko8VnjucZS0SocR5oyrhRNWgTIgJ5MT+Ad4Fg3g84S7Z22bnRhM890Q4iOQaCPqZiDMWYflU1adUWT/er9W3UDKWssiMuVDfslM8bKmpc6XJdD1RE+O79cJ6bD21nlm3rVPWWduddc361XpiHbadWrPWIds9J2PWO2vatmU94LdvzdimrSnbPjrb1kuue+tn67n1mtU39o+s68hkbbvcN6w3SHxjdYKPlG3dOm/tw8OWdRNLDzyP2D/kdNs6aPvE6pq9XtuhddV6hc999tesY7Zt6xfue+gs4v2WvSMsPIB8BQ9r1gHbIigfkN+07ln7bWvo52znrGeIQzDMsB4C2yr+rqyjtjF8DRHDV/RuuJaxu43HXX53yK6Dc5u9Gd4ztpRtlp1bJHeU7wdsLCCVBOlXUJ1ha5r9UdsGlgTXIeejcCB83fCbY6fPJoytEKOcZKxTtgesL3GStZ3xFKb3kBD8h/yu1G+M9ytY2WYnjd5n7Fzga9A6YbsElfB8qbJ3wv2EtyMwDdi+8+yzfQbBBVxsWT/B4A6xTRJHlkwcoLWLxU2rVMCtyl4GhvZgSLg94vSCt2X8H1sl99vEm7YNIHtIjrZBMgDHR9YRrA7ZviB/hZRg3cX2EfK74HmgCo6tgnidM2FwxjpDBF+QuwfZhnWI3N+AaRipJPW2wu+S6lq0Ska20O+H/15ynLVdq4hXVUa/gO4TbCZB/sBqnLMt9j7zO4SHVTS/oPPNKlk6QfKrYvCx4s+Jckt5XEDuGmzb6B/j8cjaj70UEY4Q6wO+phRTVzzvVba/I7WocnuP1hlyk+TsmNg20NsD/w6RXoDxAn3pmiXiSWJxW3XHKHkRLDtYukT2BKy9cC9VvQmrS1RZDukbvJyjeWOdAN81KL4ieY/NJZ7n7H/Dwj1XP5UqMUqdLHE/Z72G923s5cj2JhV4icScqrjP1mnVcwNIfGLnE4j3wL7O3imygnEPL6usT/G7j/9equAa3UWyJbWwgxfp7WuV302sXGNtnusenVVVvyfojdhEagnZJDW5DHPfFVNninWp1lU8feH9nJPv6O7D+hyx7WHjVHG9pHryO3ubqsMv8TKBxhHn4/i7Yr2oJorEIfPoltWB0t+Ch3skD1WHSXWLjxPVp19YHYA5Y1tWtj9jN2WbZ9ULZ2uK2wuwXBFBztbP7gWrW3rojPulep4qFtbROyaiI1X7M/TarppyO+xvEmEazpaxl+G5BdZb2NiwzoJqlsqZQ0/m1zzPHfakPpdg50DNWMnJBawcqh6X+hBNsXiI3wdikul0gO4yETxgec86zNs8zPeCSRifBsME2GaxyiRAcxkfs8R4AFP3MCE1+zhnTlXFbqlZLF0sVb5F7Qhr94rnHDyMoH+D7RW0jlUvSd73sJhkFsgk3VQnR7DzOFclr1Lhh+prM4N9mbOTthEyL96OwZSzSTXuUDUnZPYBuTt2T63Sw1equtZVh87C5BrrDD10wAQZYYIcYvNKfXFkFskEe5w5F6rqZKJK9i9V7Ldq4p0iJ4hO1JckZZNZc6qm6SQddUsOviInX74l7OypSjxWnbGJ3gk6ZzB+pfgdsEll7vGWsq3A8AAzfZ/nPj4k2k/YuldT6wCOZDJtID2isr3Bmdj7rrppD41znlItu8ycDF+ZI2rkHmYla1vMtEPspW2ryvc5kRwhf4/nz3x36AmbdGyKCOTbfYuFr6pXJP4vXMdqFhw/Vr9jzbHpmHbsOyYdXx07jllWGceFY8hx5cg5TnkesZdz3Dk2HCf2Yeep/cpxb792LPC+4phxLKO94fji+OxY50309h1jjkOsrTl6nVnHHqstxxynG8isqJMVtNbYXXTMI73KlUZzCZlt9vaQ23BMOXYd35E7dgw4rh1JR9Y5zI5YmUd/HaQT7KcdaecoGknQDjhO0N50DPI+g8SsI4n/XfYPHJ+UtTHHLbjl952f+PmE1CHoFrG3oaRmuD4T8xzPFeVxFaxfQfYFnCcwcYnnU8cIGtuOLH4/s1rmvs11o3amkZtxfMPHItaXFEebvM047sGwxc4mJ3eOceyPIz/PmXAy5zgj7pTzwd7nvLefYu9McTGj2DrC540j5chxnnT2EdUKPpbx+wl7o6D7AuP9Cu0+NpeI8CtIBpFYArFkcwE7X/Aq2TkCp+TgOxH1czYI1ml01sAgdtc5HQJxBskxZAbwPoPFLZV7yekNNjPOtGL1AP1d9o+RHwL9PZEdYH0JdHush5wpbEyq6I9BLnVxp3I7j98pZOcd50Qr+L4S9xDIv4JnmfctLPer2hIEOypPa2RuFc1xsK4Qwyyxj8DDDGi/cEk9fuJ8EO09JCQ/s3jMguTKfqdkpFpWwH6k8i4VtMveAX6lC+ZAsMR6Cv0RbM1zNsl6Cp00eeh1XNkHQXhknyLmL5wt4HMSDgTNEm8r2NjjuUZ2PjuGQbNBPGOq0gTZGVb6nWP4WEPviucCCM/t8859e9r5SfWD1MoxPKedkqM5xwNYzrB3SSRJ5zJoxxX6E3xuI3uAJamMS8edfcCZJH+SsWl8LrG/BLYReE7Bu/ifA9eqqgjpgBViTJKne+yfE+cqHidVVhaVplThZ+7zqieW0LuGhUNyswnyKbwMo5HCzpj0lX3MsW+fQGLWcW3/jLxMiyOV8zEyeUkWJlSnfVb1egwrn/F/b39AZ9gp9TOmMim4pOvOwH6M1xvWwsktls/xvA+aA9W1CyBZZU9k+uAqC29jvG+jsUMUR9iaVTNnHnbHVTalOk9VTc9xLhW6TE0N4XEanayqk3XVE9JNwkeas0+sV1WGT7CdcZ5T8WJ5A9lNlft5Vf/rPBdUxi+wNw+3wv8g2KQ2PmHjDAYfp+k2efiC92u838HBY67HiUW6e0FlMalYHFPT4NKxbp92nMLxmX2cfI+DdgzZNbzOYU3m3CSSWXpjCX4W8LZKJId4zoBE5vgYsU+Rmx2HfAl2YVXm/Rkx7bGzrFBNw7QgmEJigTqdVN8I6eYzxemoQnmK9IaKXbI8Dvq0mo4y3yfw+VnNmOsfOJZUN0g/TcCMTHTJ3wyy+7x9UXi2yPIa1paROqW2ctTGOXzP/5ivR1x7oD1WiKdV7S+pSb7NdWeXzA6CegDdScc3e865br9RXXYAP3NqIvc6b+1Z5+O3Q1AdqV6aUZPmG6gusdHrvISpYfUNusfeDlFuI/1YETPks9/Rh42smnGrCrPUgXwl5Cs6QC0foXcBml4nE4PI1hUvm2qaSi9OOuUbl8bOCHEuqNm+zemh+qoMsndun3JO4U+uDTIidTQpNYC/NWzNoDurnpcwtK1qfVfNwUVysaLm8CI6a8QtuzdYenDc6nf6akGuIFMwWtBbsFgwVTBUkC6404cKBgvGCj4VjHM2WXCm9xasFUwXzKvTOX7jaPQjvcJ9sqBP7ed430Cvn9WlPleQxWYOnWnOF5DP8Rzk+b3gM9KX+rE+wPucPqSP6Wv6tn6hZ5AQfznlpR+ZgYILPVtwy8mtPg6+B+6nej/+x/E5i2yS3wDYx5Gf5zyF9QzYr/S+gomCb6C40SeVzB2xLhZ8LRjGQgpEC+AbBsEMcY4ikcPiHJ4neR9hfak/6Eugn+YkiZ09PNzCzHDBF3Ru9Cne+pC8RGqI57U+hd1h2BrX7/IH9RV9WT/TL0E7iO9+YsuA6FS/0ZdBewOae+KaLBCLY+C7RLsXb0Pc+3/weaMLrl5+aX592LmCj3NdcpFW+70FKbAlwZwGwS3ng/jIYuGB9SUIcthfZXcP+30F62DeIJ8TBZ+IZQf7d1zH+ihWT5E+0dPEJYyP4/+Up/AwDKosnlKK4T7sXepj2JrlN64v6Pv6gT7C6RW2HvCVwkYaVq85OcO2xD1aINj7iHUMWxneelVWB5AeI88z7P2Hdo547kB+j/adLuf3oHvQz3WJ9wEO+wr28TWMh0Nd+JBrB2998HBPZBdKb506vERC3gXRJStZf0Zmjwxe6Lv6vN6HlyvqcYIsnhHXDRkdAOk0GKXiUlgXu0PgemCVRW5MVVZ/gXiWmrpjX1jtw4JEIHU7iL6cbOvCaJ9+nz+kT+r9+oD+BXRZsO9hfxffW4qlM/pgn70LxfE5WG+wlVO2h/B8DbZpbA/AlPRkjlWyQDJ3RS3Nqwof52SA7J+wI71xRFSD6H7TpScyIL+F19mCb+iPEtMavEl1L9Alg2gd6VLlozCXUXrH5HWOyLZ0Yf0WPJKBDPdDJB6QnFU7SVUh/dgUdmQ2XKCRVbOhjzfpAanPIbUewEeS66sutXulT8BNTt/R14Un9qew08d+GsuDanJMIZfG5hV4svgdU7FLhfTjrZc+GlZdMq9q8EqhHkLiWlVkRnX0BOwJi9I9x/os7I6znyyQzKWxJzLjBZK3HD3Sz/uoykM/mjITT/UFlXXxLHuXdEsGv/2guIXPLBPqluyNYSWtLA2oar9AA4YVE0lmh5wOyrzgrJ98jeC/r0AmpsyjtEIk8RxRG6PYntKHqdIFctGPxStVp71qKg2qHk2qqh2jw7NqYmTonktq4UKXuK7xvsfqHrQpJD+pGb2vC5sybW6JSjI4yiWVJlNaKk8YPlWTYg4suQLJ/piaQ4NqNks19RdIPwnzt7pI3dOLJ+R9oGBY7yWrw9TdmvKSJaID1e0S7zjYb8jEMVeG0wX0+6nFS+Lt52SYDkly3YNSaqwXf1MFYncQH1mQy2w8VLOqr0CyKHUgnX9D1LNgvlIRS1XKV2VA1Uh/gWRL2B1RU3MEqZyayLOcXKsKv0bviPkwiMc+alwqWbA/6FKFI8qC1PCU6rxBVcsybz4j1fujjmbVV2xUVYl8RzNqpg+yL+jvsTvK+UqBfC2SMonV6rP6isrZANZlPmwozyl4my+QWjlWsyJdMK2nYWcOrGdgTv/AINNBJlRKcXWpvjzSgaMFMi1lPkyrCZvmPo+/S+qoz7wPDplT5pCZM0+Dvf80wnPVnOOaNKfNTe4j5nlw0UyZV8Es62lWM+YXpObRnOE8Z6bR3MbCffALZ4Nmxhw1+5AdNrPmkjnO3ij2skh8MidYjZiz5o7Zi4U5czm4bB4Y+8a1sYitlLnI/pjZj8VhVg/BneBgcMpYNu6CveZZMGkeB/vNo+BVcDc4rZDluGeQ7sP6iJkE3wDn8+Zn8yY4Z54E183vwSNOk+aaeRlMg2bC3AzeBUUrBfIkXidB+BDcAvNi8D44GUwax8GHYMpcIaJhsFwFL4h9ntWUuQCqaazkWA/jY8kUxsaQHQbFINGLlyS/XuxdgPQueA7aEeJfD54Gr4PHxoSRCt5gcwDpfTytB2+DgkV8TIL/Bm9ZdB+I+QjdC07F9iW2Zon5KjhGBo6Dn8A9TBQT5jWxSuQj5jYxzxFNBsvfsDSA5AOWpon3DF7EmuTsPCh5P+N8H0xZIr3AXh8+vimZDWPcmAC55GEPiXu4v4H7JEgmiWbBuDAyPPvwK5aGzW189OElCTuX2D0Obiie+4g7y+4Rth6CE/jLENs479voSdSnwT04uCPXt0GJvxcLo9jLwuslnuexfoBWFgRDxPugPH0HUQrfknmJc5Q8ZWDkjjikKo6pxm3jxlhgd8G8JY4Z7kdK5iz4GdxXeLuCrUV0VsnajjFEZq6Cx8EtIh7C5w27Q+DLkJmH4AJ4Rvilqd+vWLkhL5fEJNmaUnW7GzwQ7oJSl1vgWyOqPc738bRHvNtBqeEjVctpc4b1HZ5OsSOZ3gxuGsPGijGHjTQxz4J5FSzDeBnB2wNcDJrSFzfYvUXvCkxJdqQiBfEA9wmilB7Mws4Z3SW57jOH8bxfdGbkYOA2eAKSVaLb57mholiDwbR5yMkUnN7T8edEIR02jNUs6BZNqSmJLE2cWezKRJghzgdi2IG1CxBtBi/xsMP9Go/H5O4b/kZU/kVaZsWS6qTPrC9Z32Azg8+DoHCxA/4+ZGc5vw+OUttwEfwUnDb6i/aK1oJS76dUzw6IBf8OtXCBhX6F56sp82wQVjfZEckx8jZCbQya8j5BhFfYOAFTH7LHRLMYXAwuGxdFk3gX1HtB6YUNmF3C3jBYRs2vQanRBzjaweJ6UHr0Av/beLlUWoM/+uh78JGPU9X5wuQd0htwcSfVr/pc4u4jS1vYGFFTdByUs9RPivytwdJp8Duez6mCVHDduDXScD9HFHdUa45YFpmk58w26UuqHISfOJVo01TtBjZz1Oi46q7PnIzCd1LN25RMOfSkgrLgmMJyjhrPYCWlauuObKTVfJiGs4OgdNUy1zlx7IJSKlXq9pAYV3lfNgThblDQ9WHrkl5OM8duqPlZLGRVz9wxX6Xqc9gaMmZhYjJ4wozZNrbg4Y79JPmbUVn8ZEo3Z0zJk+T1mn75bEqv3lAdMgGn6eh+zlfQ+oT1SWyPEvUOWUvB41VQ5vEZ9yn8DysmpJevQHiCL5khd8R+pyxKjS3CahIbYzzP+ZrJHBk1ZS7e0EMT6psl+iKXMndZ34FCcjqL1oApE3DS/Ma3RTp21TgyZkzpnyQnV0QxSmV8Vd+FGRi6gV3Jdq+5jI800yQDrkWi6jPl2zVhrrMaRXaD8wWimDfl25Ih4gzeZNpLNfaBd0l11bbK7azK9Yw5FpynpkeNZao2qaahoJZJtMn3Z8jYMw7BfQyGTHQgOh1diOaiX58NR3tZDUX7o3fPZqLXzxafff5H5tnds9FoH+ffoqfRyehZdC26/2wlOoHWUXQquo3Gp+hIdCx6HF2KziA1EJ2NzkUPsTAfXUdmJLqJ3WR0FZ3x6Gj0+NmX6Eo0E/0evXk2y+nws/Q/svi4fbaJzu2zKa4V3g+fJfE6F92NfuV58UxOPkWPnq0+W/nHxj8m//FQd/VsCG93z7LRxej9s2tOZ7A/Ht1+Nl578l8yFb3/slW+WXZYtlB2Vbpf+qUsW7ZS1l82VpYq2yjLlX0t+8QzXTZReljSz958WbJsnfsZUidlm2VzSK6WTZQNli3ytsF9qexL2UjZctk4b9Nl37HwRdmZ51op+8bJRtlW2Wd8rHA+Wfa59EvJJKuVskzZGuen3NOsJ/E8jc44q8WyxdKBv+/9/RPoclxpPByXzv392z8nzYFgKrhvHBXd8rspOi+6Khokpw9FGabVuHFTNGJkjF7jhN2scV50UtTLW5K9+6LLot2iCXbHjZSxgMZZUX/g8K/r7O8UrRXdFT0UbRYtoXFXlDIOi66RTqF7VTRkXHLdF93j77Qoa4ygnzL2ivqwP1708JeLwh3+C3RBP81fzt/LX8/fyF/KX+G5zvsSb9v5i6xX8g/yj3h+ReYwf4frgLOV/P383fzN/NX8b/nf80dZr3K2nr+AzgaSJ9jYRW+H9Q7Pr8ieobmav8XOJvdF95pjmv9nZVVr+/8J3SA4"
}
[info] CPU 387.4% | Mem 195MiB

[run 3/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.007,
  "requests": 4823161,
  "bytes": 670419379,
  "achieved_rate": 241070.45,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.4821,
  "bytes_per_sec": 33508792.13,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 11268478,
  "latency_us": {
    "min": 43, "mean": 5105344.0, "stdev": 3003260.3, "max": 11280383,
    "p50": 5044224, "p75": 7571456, "p90": 9326592, "p99": 10784768, "p99_9": 11194368, "p99_99": 11235328
  },
  "status_codes": { "1xx": 0, "2xx": 4823161, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": 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"
}
[info] CPU 387.3% | Mem 208MiB
[info] run 3 wins on score

=== Best: 241070 req/s (CPU: 387.3%, Mem: 208MiB) ===
[info] exact CPU: 79.81 core-seconds | 16.548 us/req
=== Fixed-rate: cpu/req 16.55us | p99 10784768.0us | p99.9 11194368.0us | rate_ratio 0.4821 ===
[warn] offered rate fell short: rate_ratio=0.4821 (target 500000/s)
[warn]   the CPU number is not comparable with runs that held the rate
[info] saved results/latency-500k-8cpu/1024/mipyre.json
httparena-bench-mipyre
httparena-bench-mipyre

==============================================
=== mipyre / async / 32000c (tool=gcannon) ===
==============================================
[info] waiting for server...
[info] server ready

[run 1/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   83.66ms   3.96ms   281.70ms   305.30ms   537.60ms

  3779482 requests in 10.00s, 3747482 responses
  Throughput: 374.67K req/s
  Bandwidth:  75.86MB/s
  Status codes: 2xx=1065081, 3xx=0, 4xx=0, 5xx=2682401
  Latency samples: 3747482 / 3747482 responses (100.0%)

  WARNING: 2682401/3747482 responses (71.6%) had unexpected status (expected 2xx)
[info] CPU 1569.4% | Mem 2.3GiB

[run 2/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   82.02ms   3.98ms   283.10ms   303.80ms   342.80ms

  3852052 requests in 10.00s, 3820052 responses
  Throughput: 381.94K req/s
  Bandwidth:  77.35MB/s
  Status codes: 2xx=1083568, 3xx=0, 4xx=0, 5xx=2736484
  Latency samples: 3820052 / 3820052 responses (100.0%)

  WARNING: 2736484/3820052 responses (71.6%) had unexpected status (expected 2xx)
[info] CPU 1632.3% | Mem 2.3GiB

[run 3/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   81.92ms   3.97ms   282.80ms   303.70ms   341.60ms

  3860239 requests in 10.00s, 3828239 responses
  Throughput: 382.75K req/s
  Bandwidth:  77.52MB/s
  Status codes: 2xx=1084850, 3xx=0, 4xx=0, 5xx=2743389
  Latency samples: 3828239 / 3828239 responses (100.0%)

  WARNING: 2743389/3828239 responses (71.7%) had unexpected status (expected 2xx)
[info] CPU 1637.5% | Mem 2.3GiB

=== Best: 108485 req/s (CPU: 1637.5%, Mem: 2.3GiB) ===
[info] input BW: 4.97MB/s (avg template: 48 bytes)
[info] saved results/async/32000/mipyre.json
httparena-bench-mipyre
httparena-bench-mipyre
[info] rebuilding site/data/*.json
[purged stale] pyronova.json (pyronova)
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/frameworks.json
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/results/mipyre.json - 27 new, 27 total
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/current.json
[info] done
httparena-postgres
[info] restoring loopback MTU to 65536

ddxd added 3 commits October 27, 2026 18:41
3.0.1 lets the thread-per-core server take MIPYRE_ASYNC_QUEUE_CAPACITY; the
default (128 per async worker) answered most of the async profile's 32000
concurrent requests with 503.
@ddxd

ddxd commented Oct 28, 2026

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Updated to mipyre 3.0.1. The async run showed 71.7% 5xx: past 2048 queued async def requests the server answered 503, because the thread-per-core mode refused MIPYRE_ASYNC_QUEUE_CAPACITY. 3.0.1 takes it, and the launcher now sets it to 40000 for the async profile's 32000 concurrent requests. Validation is green on aec92c2.

Could you re-run /benchmark when you have a moment? Thanks!

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👋 Benchmark request received. A collaborator will review and approve the run.

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Benchmark Results

Framework: mipyre | Test: all tests

Test Conn RPS Rate CPU/req p99 p99.9 CPU Mem Δ RPS Δ Mem
baseline 4096 1,646,591 — — — — 3302.0% 1022MiB ~0% ~0%
pipelined 4096 13,505,158 — — — — 3246.2% 1.0GiB ~0% ~0%
limited-conn 4096 1,254,911 — — — — 3351.1% 996MiB ~0% ~0%
json-comp 4096 378,126 — — — — 3159.3% 1.1GiB ~0% ~0%
json-comp 16384 367,261 — — — — 3294.2% 1.8GiB ~0% ~0%
json-tls 4096 701,540 — — — — 3355.2% 1.0GiB ~0% ~0%
8gbit 512 49,195 0.9839 45.74us 129.0us 2049.0us 200.8% 781MiB ~0% ~0%
static-tls 1024 1,057,761 — — — — 3304.3% 954MiB ~0% ~0%
async-db 1024 79,134 — — — — 2089.7% 862MiB ~0% ~0%
fortunes 1024 38,982 — — — — 2806.8% 892MiB ~0% ~0%
baseline-h2 256 3,816,123 — — — — 3189.1% 954MiB ~0% ~0%
baseline-h2 1024 3,138,695 — — — — 3208.9% 1.5GiB ~0% ~0%
static-h2 256 939,706 — — — — 3211.9% 1.0GiB ~0% ~0%
static-h2 1024 856,357 — — — — 3216.5% 1.1GiB ~0% ~0%
baseline-h2c 256 3,883,061 — — — — 3210.1% 950MiB ~0% ~0%
baseline-h2c 1024 3,194,358 — — — — 3210.1% 1.5GiB ~0% ~0%
baseline-h2c 4096 3,087,524 — — — — 3205.8% 3.5GiB ~0% ~0%
json-h2c 1024 815,861 — — — — 3215.7% 1.0GiB ~0% ~0%
json-h2c 4096 810,669 — — — — 3216.9% 2.1GiB ~0% ~0%
unary-grpc 256 3,738,469 — — — — 3172.2% 984MiB ~0% ~0%
unary-grpc 1024 2,962,667 — — — — 3176.0% 1.6GiB ~0% ~0%
unary-grpc-tls 256 3,655,178 — — — — 3163.1% 1.0GiB ~0% ~0%
unary-grpc-tls 1024 2,878,693 — — — — 3119.3% 1.5GiB ~0% ~0%
latency-1m 1024 997,678 0.9977 21.22us 193.0us 9132.0us 2257.2% 804MiB ~0% ~0%
latency-10k 1024 9,981 0.9981 35.95us 126.0us 442.0us 34.2% 800MiB ~0% ~0%
latency-500k-8cpu 1024 241,309 0.4826 ⚠️ 16.54us 10407936.0us 10801152.0us 387.5% 201MiB ~0% ~0%
async 32000 242,084 — — — — 1830.2% 2.7GiB ~0% ~0%

Composite score, main against this run, in the board's default view:

Family main this run Δ
HTTP/1.1 - 4785.1 (#21 of 103) -
HTTP/2 - 1965.9 (#8 of 36) -
gRPC - 1068.7 (#6 of 13) -

The results on main were measured in another session, so a few points up or down can be the machine and not the change.

Full log
  "requests": 199631,
  "bytes": 27748709,
  "achieved_rate": 9980.46,
  "target_rate": 10000,
  "target_rate_end": 10000,
  "rate_ratio": 0.9980,
  "bytes_per_sec": 1387283.77,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 0,
  "latency_us": {
    "min": 39, "mean": 87.0, "stdev": 599.5, "max": 40383,
    "p50": 62, "p75": 88, "p90": 108, "p99": 128, "p99_9": 432, "p99_99": 34416
  },
  "status_codes": { "1xx": 0, "2xx": 199631, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": "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"
}
[info] CPU 35.3% | Mem 801MiB
[info] run 2 wins on score

=== Best: 9981 req/s (CPU: 34.2%, Mem: 800MiB) ===
[info] exact CPU: 7.18 core-seconds | 35.952 us/req
=== Fixed-rate: cpu/req 35.95us | p99 126.0us | p99.9 442.0us | rate_ratio 0.9981 ===
[info] saved results/latency-10k/1024/mipyre.json
httparena-bench-mipyre
httparena-bench-mipyre

==============================================
=== mipyre / latency-500k-8cpu / 1024c (tool=zrk) ===
==============================================
[info] waiting for server...
[info] server ready

[run 1/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.006,
  "requests": 4798360,
  "bytes": 666972040,
  "achieved_rate": 239842.94,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.4797,
  "bytes_per_sec": 33338169.20,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 10882328,
  "latency_us": {
    "min": 61, "mean": 5195466.2, "stdev": 2981872.6, "max": 10887167,
    "p50": 5187584, "p75": 7755776, "p90": 9293824, "p99": 10424320, "p99_9": 10801152, "p99_99": 10858496
  },
  "status_codes": { "1xx": 0, "2xx": 4798360, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": "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"
}
[info] CPU 386.2% | Mem 193MiB

[run 2/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.007,
  "requests": 4798839,
  "bytes": 667038621,
  "achieved_rate": 239854.10,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.4797,
  "bytes_per_sec": 33339719.62,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 10888308,
  "latency_us": {
    "min": 46, "mean": 5186986.6, "stdev": 2990106.6, "max": 10895359,
    "p50": 5179392, "p75": 7759872, "p90": 9302016, "p99": 10498048, "p99_9": 10809344, "p99_99": 10850304
  },
  "status_codes": { "1xx": 0, "2xx": 4798839, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": 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"
}
[info] CPU 390.0% | Mem 197MiB

[run 3/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.007,
  "requests": 4827889,
  "bytes": 671076571,
  "achieved_rate": 241308.68,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.4826,
  "bytes_per_sec": 33541906.36,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 10872619,
  "latency_us": {
    "min": 43, "mean": 5153788.4, "stdev": 2974418.9, "max": 10878975,
    "p50": 5150720, "p75": 7714816, "p90": 9252864, "p99": 10407936, "p99_9": 10801152, "p99_99": 10842112
  },
  "status_codes": { "1xx": 0, "2xx": 4827889, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": 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"
}
[info] CPU 387.5% | Mem 201MiB
[info] run 3 wins on score

=== Best: 241309 req/s (CPU: 387.5%, Mem: 201MiB) ===
[info] exact CPU: 79.86 core-seconds | 16.542 us/req
=== Fixed-rate: cpu/req 16.54us | p99 10407936.0us | p99.9 10801152.0us | rate_ratio 0.4826 ===
[warn] offered rate fell short: rate_ratio=0.4826 (target 500000/s)
[warn]   the CPU number is not comparable with runs that held the rate
[info] saved results/latency-500k-8cpu/1024/mipyre.json
httparena-bench-mipyre
httparena-bench-mipyre

==============================================
=== mipyre / async / 32000c (tool=gcannon) ===
==============================================
[info] waiting for server...
[info] server ready

[run 1/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   133.01ms   131.60ms   170.70ms   334.90ms   412.90ms

  2403924 requests in 10.00s, 2371924 responses
  Throughput: 237.15K req/s
  Bandwidth:  31.66MB/s
  Status codes: 2xx=2371924, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 2371924 / 2371924 responses (100.0%)
[info] CPU 1771.1% | Mem 2.6GiB

[run 2/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   130.50ms   131.20ms   170.30ms   213.80ms   250.00ms

  2452849 requests in 10.00s, 2420849 responses
  Throughput: 242.04K req/s
  Bandwidth:  32.32MB/s
  Status codes: 2xx=2420849, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 2420849 / 2420849 responses (100.0%)
[info] CPU 1830.2% | Mem 2.7GiB

[run 3/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   130.75ms   132.20ms   168.60ms   210.70ms   273.50ms

  2445008 requests in 10.00s, 2413008 responses
  Throughput: 241.25K req/s
  Bandwidth:  32.21MB/s
  Status codes: 2xx=2413008, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 2413008 / 2413008 responses (100.0%)
[info] CPU 1831.2% | Mem 2.7GiB

=== Best: 242084 req/s (CPU: 1830.2%, Mem: 2.7GiB) ===
[info] input BW: 11.08MB/s (avg template: 48 bytes)
[info] saved results/async/32000/mipyre.json
httparena-bench-mipyre
httparena-bench-mipyre
[info] rebuilding site/data/*.json
[purged stale] pyronova.json (pyronova)
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/frameworks.json
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/results/mipyre.json - 27 new, 27 total
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/current.json
[info] done
httparena-postgres
[info] restoring loopback MTU to 65536

@MDA2AV

MDA2AV commented Oct 28, 2026

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Hi, please set type to experimental in meta.json

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
@ddxd

ddxd commented Oct 28, 2026

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Done, type is now experimental (b49b773). Thanks!

@MDA2AV

MDA2AV commented Oct 28, 2026

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/benchmark --save

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👋 Benchmark request received. A collaborator will review and approve the run.

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Benchmark Results

Framework: mipyre | Test: all tests

Test Conn RPS Rate CPU/req p99 p99.9 CPU Mem Δ RPS Δ Mem
baseline 4096 1,669,163 — — — — 3336.5% 1.0GiB ~0% ~0%
pipelined 4096 13,490,305 — — — — 3355.3% 990MiB ~0% ~0%
limited-conn 4096 1,256,570 — — — — 3373.4% 1008MiB ~0% ~0%
json-comp 4096 378,440 — — — — 3248.2% 1.1GiB ~0% ~0%
json-comp 16384 365,398 — — — — 3114.1% 1.8GiB ~0% ~0%
json-tls 4096 704,349 — — — — 3347.9% 1.0GiB ~0% ~0%
8gbit 512 49,225 0.9845 45.37us 122.0us 1986.0us 200.7% 781MiB ~0% ~0%
static-tls 1024 1,053,621 — — — — 3267.6% 933MiB ~0% ~0%
async-db 1024 78,994 — — — — 2073.9% 862MiB ~0% ~0%
fortunes 1024 38,880 — — — — 2811.8% 885MiB ~0% ~0%
baseline-h2 256 3,804,067 — — — — 3174.7% 961MiB ~0% ~0%
baseline-h2 1024 3,112,470 — — — — 3209.2% 1.4GiB ~0% ~0%
static-h2 256 940,862 — — — — 3216.0% 949MiB ~0% ~0%
static-h2 1024 855,188 — — — — 3114.7% 1.0GiB ~0% ~0%
baseline-h2c 256 3,882,191 — — — — 3184.3% 951MiB ~0% ~0%
baseline-h2c 1024 3,193,280 — — — — 3208.5% 1.4GiB ~0% ~0%
baseline-h2c 4096 3,080,805 — — — — 3208.7% 3.4GiB ~0% ~0%
json-h2c 1024 832,369 — — — — 3214.1% 1.0GiB ~0% ~0%
json-h2c 4096 810,532 — — — — 3141.3% 2.1GiB ~0% ~0%
unary-grpc 256 3,738,210 — — — — 3184.4% 1.0GiB ~0% ~0%
unary-grpc 1024 2,980,571 — — — — 3206.9% 1.6GiB ~0% ~0%
unary-grpc-tls 256 3,655,685 — — — — 3165.8% 1.0GiB ~0% ~0%
unary-grpc-tls 1024 2,906,561 — — — — 3208.2% 1.6GiB ~0% ~0%
latency-1m 1024 997,703 0.9977 21.04us 199.0us 4934.0us 2248.0% 806MiB ~0% ~0%
latency-10k 1024 9,980 0.9980 40.21us 131.0us 461.0us 38.4% 798MiB ~0% ~0%
latency-500k-8cpu 1024 239,139 0.4783 ⚠️ 16.69us 10309632.0us 10481664.0us 389.1% 204MiB ~0% ~0%
async 32000 239,427 — — — — 1825.5% 2.7GiB ~0% ~0%

Composite score, main against this run, in the board's default view:

Family main this run Δ
HTTP/1.1 - 4178.4 (#15 of 23) -
HTTP/2 - 1458.0 (#9 of 14) -
gRPC - 949.6 (#7 of 8) -

The results on main were measured in another session, so a few points up or down can be the machine and not the change.

Full log
  "requests": 199634,
  "bytes": 27749126,
  "achieved_rate": 9980.56,
  "target_rate": 10000,
  "target_rate_end": 10000,
  "rate_ratio": 0.9981,
  "bytes_per_sec": 1387297.98,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 0,
  "latency_us": {
    "min": 39, "mean": 94.2, "stdev": 598.6, "max": 44319,
    "p50": 67, "p75": 105, "p90": 112, "p99": 134, "p99_9": 616, "p99_99": 34352
  },
  "status_codes": { "1xx": 0, "2xx": 199634, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": "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"
}
[info] CPU 41.0% | Mem 802MiB
[info] run 2 wins on score

=== Best: 9980 req/s (CPU: 38.4%, Mem: 798MiB) ===
[info] exact CPU: 8.03 core-seconds | 40.206 us/req
=== Fixed-rate: cpu/req 40.21us | p99 131.0us | p99.9 461.0us | rate_ratio 0.9980 ===
[info] saved results/latency-10k/1024/mipyre.json
httparena-bench-mipyre
httparena-bench-mipyre

==============================================
=== mipyre / latency-500k-8cpu / 1024c (tool=zrk) ===
==============================================
[info] waiting for server...
[info] server ready

[run 1/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.006,
  "requests": 4767845,
  "bytes": 662730455,
  "achieved_rate": 238321.84,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.4766,
  "bytes_per_sec": 33126735.57,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 11547003,
  "latency_us": {
    "min": 42, "mean": 5208599.9, "stdev": 3005955.2, "max": 11558911,
    "p50": 5187584, "p75": 7751680, "p90": 9293824, "p99": 11055104, "p99_9": 11464704, "p99_99": 11513856
  },
  "status_codes": { "1xx": 0, "2xx": 4767845, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": 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"
}
[info] CPU 385.2% | Mem 191MiB

[run 2/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.008,
  "requests": 4773819,
  "bytes": 663560841,
  "achieved_rate": 238599.27,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.4772,
  "bytes_per_sec": 33165298.19,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 10944024,
  "latency_us": {
    "min": 36, "mean": 5186105.9, "stdev": 3019609.9, "max": 10952703,
    "p50": 5163008, "p75": 7739392, "p90": 9326592, "p99": 10694656, "p99_9": 10883072, "p99_99": 10915840
  },
  "status_codes": { "1xx": 0, "2xx": 4773819, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": 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"
}
[info] CPU 387.3% | Mem 194MiB

[run 3/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.007,
  "requests": 4784500,
  "bytes": 665045500,
  "achieved_rate": 239138.81,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.4783,
  "bytes_per_sec": 33240294.70,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 10556913,
  "latency_us": {
    "min": 43, "mean": 5201646.4, "stdev": 2999515.5, "max": 10567679,
    "p50": 5199872, "p75": 7796736, "p90": 9359360, "p99": 10309632, "p99_9": 10481664, "p99_99": 10530816
  },
  "status_codes": { "1xx": 0, "2xx": 4784500, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": 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"
}
[info] CPU 389.1% | Mem 204MiB
[info] run 3 wins on score

=== Best: 239139 req/s (CPU: 389.1%, Mem: 204MiB) ===
[info] exact CPU: 79.83 core-seconds | 16.685 us/req
=== Fixed-rate: cpu/req 16.69us | p99 10309632.0us | p99.9 10481664.0us | rate_ratio 0.4783 ===
[warn] offered rate fell short: rate_ratio=0.4783 (target 500000/s)
[warn]   the CPU number is not comparable with runs that held the rate
[info] saved results/latency-500k-8cpu/1024/mipyre.json
httparena-bench-mipyre
httparena-bench-mipyre

==============================================
=== mipyre / async / 32000c (tool=gcannon) ===
==============================================
[info] waiting for server...
[info] server ready

[run 1/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   134.27ms   134.90ms   172.70ms   273.20ms   338.00ms

  2381896 requests in 10.00s, 2349896 responses
  Throughput: 234.95K req/s
  Bandwidth:  31.37MB/s
  Status codes: 2xx=2349896, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 2349896 / 2349896 responses (100.0%)
[info] CPU 1762.6% | Mem 2.6GiB

[run 2/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   131.72ms   132.10ms   171.60ms   211.50ms   248.80ms

  2426274 requests in 10.00s, 2394274 responses
  Throughput: 239.38K req/s
  Bandwidth:  31.96MB/s
  Status codes: 2xx=2394274, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 2394274 / 2394274 responses (100.0%)
[info] CPU 1825.5% | Mem 2.7GiB

[run 3/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   132.21ms   134.50ms   170.10ms   212.20ms   234.70ms

  2419822 requests in 10.00s, 2387822 responses
  Throughput: 238.74K req/s
  Bandwidth:  31.87MB/s
  Status codes: 2xx=2387822, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 2387822 / 2387822 responses (100.0%)
[info] CPU 1834.4% | Mem 2.7GiB

=== Best: 239427 req/s (CPU: 1825.5%, Mem: 2.7GiB) ===
[info] input BW: 10.96MB/s (avg template: 48 bytes)
[info] saved results/async/32000/mipyre.json
httparena-bench-mipyre
httparena-bench-mipyre
[info] rebuilding site/data/*.json
[purged stale] pyronova.json (pyronova)
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/frameworks.json
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/results/mipyre.json - 27 new, 27 total
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/current.json
[info] done
httparena-postgres
[info] restoring loopback MTU to 65536

@MDA2AV
MDA2AV merged commit 6f6dfa1 into MDA2AV:main Oct 31, 2026
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@ddxd

ddxd commented Nov 3, 2026 •

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Hi, thanks for merging! The results from the saved benchmark runs on this PR never reached main: the PR comes from an organization fork (leocaolab/HttpArena), where GitHub does not offer "Allow edits by maintainers", so the bot's push of the results commit was refused. From run 40687985062:

[detached HEAD a28d9e6a7] Benchmark results: mipyre  [skip ci]
remote: Permission to leocaolab/HttpArena.git denied to github-actions[bot].
fatal: unable to access 'https://github.com/leocaolab/HttpArena.git/': The requested URL returned error: 403
Warning: could not push to fork (permissions)

So main has frameworks/mipyre/ but no site/data/results/mipyre.json, and the old site/data/results/pyronova.json is still there.

Could you run the Benchmark workflow with framework=mipyre and save=true when you have a moment? It opens the results PR from this repo, so the fork permissions don't matter. The pyronova.json results file can go in the same PR. Future mipyre updates will come from a personal fork with maintainer edits enabled. Thanks!

@github-actions

github-actions Bot commented Nov 3, 2026

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👋 Benchmark request received. A collaborator will review and approve the run.

@github-actions

github-actions Bot commented Nov 3, 2026

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⚠️ /benchmark --save cannot start: main has diverged and cannot be auto-merged into this branch. Please merge or rebase main manually, push, and re-run /benchmark --save.

@ddxd

ddxd commented Nov 3, 2026

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Sorry for the noise: the bot warning above was triggered by the command name quoted in my previous comment, not a request for a run (I have edited it out). No run is needed on this PR; only the Benchmark workflow with framework=mipyre and save=true, when you have time.

@ddxd

ddxd commented Nov 5, 2026

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Moved to #1711: it comes from a personal fork, so the saved run can push its results there. Nothing to do on this PR.

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2 participants