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mipyre: results for the entry merged in #1668 - #1711

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@ddxd

@ddxd ddxd commented Nov 5, 2026 •

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#1668 replaced frameworks/pyronova/ with frameworks/mipyre/, but its saved benchmark results never reached main: that PR came from an organization fork, so the bot could not push the results commit back (#1702). main still carries pyronova's results and logs and has none for mipyre.

This PR removes site/data/results/pyronova.json and the 25 site/static/logs/*/pyronova.log files. It comes from a personal fork with maintainer edits enabled, so a saved benchmark run of mipyre here can push its results to this branch and land them with the merge.

frameworks/mipyre/meta.json now lists ddxd as the entry's maintainer; nothing else in the entry changes (mipyre 3.0.1, the latest on PyPI, as merged in #1668).

🤖 Generated with Claude Code

MDA2AV#1668 replaced frameworks/pyronova/ with frameworks/mipyre/ but its saved
results were never pushed back (organization fork, see MDA2AV#1702), so main kept
pyronova's results and logs and has none for mipyre.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
@MDA2AV

MDA2AV commented Nov 5, 2026

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/benchmark --save

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github-actions Bot commented Nov 5, 2026

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

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github-actions Bot commented Nov 5, 2026

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⚠️ Couldn't detect which framework to test. Either modify files under frameworks/<name>/ or specify explicitly: /benchmark -f <framework> -t <test> (or /benchmark-multiple -f <fw1>,<fw2> for several).

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

ddxd commented Nov 5, 2026

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Thanks! The bot could not pick the framework because this PR only touched site/. It now also changes frameworks/mipyre/meta.json (maintainer added), so a re-run should pick up mipyre.

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MDA2AV commented Nov 5, 2026

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/benchmark -f mipyre --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 1,633,016 — — — — 3281.1% 1.0GiB ~0% ~0%
pipelined 4096 13,166,198 — — — — 3219.9% 1.0GiB ~0% ~0%
limited-conn 4096 1,235,159 — — — — 3265.7% 1.0GiB ~0% ~0%
json-comp 4096 376,239 — — — — 3143.7% 1.1GiB ~0% ~0%
json-comp 16384 366,785 — — — — 3131.4% 1.9GiB ~0% ~0%
json-tls 4096 695,282 — — — — 3369.1% 1011MiB ~0% ~0%
8gbit 512 49,365 0.9873 44.94us 116.0us 4254.0us 207.0% 779MiB ~0% ~0%
static-tls 1024 1,054,130 — — — — 3301.9% 962MiB ~0% ~0%
async-db 1024 78,742 — — — — 2076.0% 862MiB ~0% ~0%
fortunes 1024 39,297 — — — — 2799.9% 891MiB ~0% ~0%
baseline-h2 256 3,780,516 — — — — 3161.6% 922MiB ~0% ~0%
baseline-h2 1024 3,147,140 — — — — 3210.7% 1.4GiB ~0% ~0%
static-h2 256 940,351 — — — — 3136.9% 1.0GiB ~0% ~0%
static-h2 1024 857,260 — — — — 3218.0% 1.3GiB ~0% ~0%
baseline-h2c 256 3,859,204 — — — — 3165.9% 950MiB ~0% ~0%
baseline-h2c 1024 3,190,394 — — — — 3211.1% 1.4GiB ~0% ~0%
baseline-h2c 4096 3,073,490 — — — — 3207.9% 3.5GiB ~0% ~0%
json-h2c 1024 835,982 — — — — 3213.8% 1.1GiB ~0% ~0%
json-h2c 4096 802,823 — — — — 3214.9% 2.0GiB ~0% ~0%
unary-grpc 256 3,762,683 — — — — 3207.6% 1.0GiB ~0% ~0%
unary-grpc 1024 2,975,838 — — — — 3208.9% 1.6GiB ~0% ~0%
unary-grpc-tls 256 3,638,369 — — — — 3210.2% 1022MiB ~0% ~0%
unary-grpc-tls 1024 2,885,069 — — — — 3208.5% 1.7GiB ~0% ~0%
latency-1m 1024 997,756 0.9978 21.18us 189.0us 2863.0us 2267.2% 803MiB ~0% ~0%
latency-10k 1024 9,983 0.9983 36.66us 136.0us 244.0us 34.8% 801MiB ~0% ~0%
latency-500k-8cpu 1024 237,554 0.4751 ⚠️ 16.80us 11014144.0us 11431936.0us 387.6% 204MiB ~0% ~0%
async 32000 238,348 — — — — 1809.1% 2.7GiB ~0% ~0%

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

Family main this run Δ
HTTP/1.1 - 4216.0 (18 of 26) -
HTTP/2 - 1456.8 (10 of 13) -
gRPC - 951.8 (7 of 7) -

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
  "duration_s": 20.002,
  "requests": 199682,
  "bytes": 27755798,
  "achieved_rate": 9983.02,
  "target_rate": 10000,
  "target_rate_end": 10000,
  "rate_ratio": 0.9983,
  "bytes_per_sec": 1387640.33,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 0,
  "latency_us": {
    "min": 39, "mean": 81.3, "stdev": 353.4, "max": 31359,
    "p50": 63, "p75": 86, "p90": 107, "p99": 136, "p99_9": 244, "p99_99": 20472
  },
  "status_codes": { "1xx": 0, "2xx": 199682, "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 34.8% | Mem 801MiB
[info] run 3 wins on score

=== Best: 9983 req/s (CPU: 34.8%, Mem: 801MiB) ===
[info] exact CPU: 7.32 core-seconds | 36.660 us/req
=== Fixed-rate: cpu/req 36.66us | p99 136.0us | p99.9 244.0us | 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": 4726490,
  "bytes": 656982110,
  "achieved_rate": 236253.42,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.4725,
  "bytes_per_sec": 32839225.48,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 10926635,
  "latency_us": {
    "min": 56, "mean": 5267005.1, "stdev": 3027068.5, "max": 10936319,
    "p50": 5257216, "p75": 7854080, "p90": 9416704, "p99": 10645504, "p99_9": 10850304, "p99_99": 10899456
  },
  "status_codes": { "1xx": 0, "2xx": 4726490, "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 385.6% | Mem 194MiB

[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": 4745750,
  "bytes": 659659250,
  "achieved_rate": 237202.67,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.4744,
  "bytes_per_sec": 32971170.95,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 10848699,
  "latency_us": {
    "min": 40, "mean": 5222202.1, "stdev": 3025682.9, "max": 10854399,
    "p50": 5212160, "p75": 7825408, "p90": 9400320, "p99": 10596352, "p99_9": 10784768, "p99_99": 10817536
  },
  "status_codes": { "1xx": 0, "2xx": 4745750, "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 387.7% | Mem 196MiB

[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": 4752790,
  "bytes": 660637810,
  "achieved_rate": 237553.64,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.4751,
  "bytes_per_sec": 33019956.24,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 11507122,
  "latency_us": {
    "min": 43, "mean": 5192181.3, "stdev": 3034427.4, "max": 11517951,
    "p50": 5158912, "p75": 7739392, "p90": 9293824, "p99": 11014144, "p99_9": 11431936, "p99_99": 11481088
  },
  "status_codes": { "1xx": 0, "2xx": 4752790, "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 387.6% | Mem 204MiB
[info] run 3 wins on score

=== Best: 237554 req/s (CPU: 387.6%, Mem: 204MiB) ===
[info] exact CPU: 79.84 core-seconds | 16.799 us/req
=== Fixed-rate: cpu/req 16.80us | p99 11014144.0us | p99.9 11431936.0us | rate_ratio 0.4751 ===
[warn] offered rate fell short: rate_ratio=0.4751 (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   135.19ms   133.90ms   173.90ms   333.40ms   406.60ms

  2366712 requests in 10.00s, 2334712 responses
  Throughput: 233.43K req/s
  Bandwidth:  31.17MB/s
  Status codes: 2xx=2334712, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 2334712 / 2334712 responses (100.0%)
[info] CPU 1748.7% | Mem 2.5GiB

[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   132.59ms   133.90ms   172.10ms   217.40ms   300.40ms

  2415488 requests in 10.00s, 2383488 responses
  Throughput: 238.30K req/s
  Bandwidth:  31.82MB/s
  Status codes: 2xx=2383488, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 2383488 / 2383488 responses (100.0%)
[info] CPU 1809.1% | 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   132.76ms   134.60ms   172.30ms   210.00ms   245.60ms

  2406687 requests in 10.00s, 2374687 responses
  Throughput: 237.41K req/s
  Bandwidth:  31.70MB/s
  Status codes: 2xx=2374687, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 2374687 / 2374687 responses (100.0%)
[info] CPU 1816.4% | Mem 2.7GiB

=== Best: 238348 req/s (CPU: 1809.1%, Mem: 2.7GiB) ===
[info] input BW: 10.91MB/s (avg template: 48 bytes)
[info] saved results/async/32000/mipyre.json
httparena-bench-mipyre
httparena-bench-mipyre
[info] rebuilding site/data/*.json
[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

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