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This gives an improvement of 2.5% (sync), 1.82% (async) in the number of requests/s. The average latency decreased 1.6% (sync) and 1.5% (async).\r\n\r\nNote that we had to use a cast in the helper function, as the typeguard does not work for the negative case. In the main branch the code is working without a cast, because the typeguard return type is in practice `AwaitableCAllable[Any]`, which end up swallowing the other types in the union.\r\n\r\nBenchmarking\r\nWe use a simple json app, with both a sync and async endpoint, and the wrk tool to get the measurements.\r\n\r\nThe measuerements were done on a Macbook Pro with M1 chip, 16GB of memory and macOS 12.3. The Python version used for the tests is Python 3.12.2, and the uvicorn version is 0.27.1\r\n\r\nBefore\r\n```\r\n$ wrk http://localhost:8000/sync\r\nRunning 10s test @ http://localhost:8000/sync\r\n  2 threads and 10 connections\r\n  Thread Stats   Avg      Stdev     Max   +/- Stdev\r\n    Latency   733.77us   55.57us   3.21ms   78.35%\r\n    Req/Sec     6.84k   147.06     7.15k    87.13%\r\n  137474 requests in 10.10s, 18.35MB read\r\nRequests/sec:  13610.69\r\nTransfer/sec:      1.82MB\r\n\r\n$ wrk http://localhost:8000/async\r\nRunning 10s test @ http://localhost:8000/async\r\n  2 threads and 10 connections\r\n  Thread Stats   Avg      Stdev     Max   +/- Stdev\r\n    Latency   717.14us   49.05us   1.83ms   71.11%\r\n    Req/Sec     7.00k   112.14     7.36k    76.24%\r\n  140613 requests in 10.10s, 18.77MB read\r\nRequests/sec:  13922.97\r\nTransfer/sec:      1.86MB\r\n````\r\n\r\nAfter\r\n```\r\n$ wrk http://localhost:8000/sync\r\nRunning 10s test @ http://localhost:8000/sync\r\n  2 threads and 10 connections\r\n  Thread Stats   Avg      Stdev     Max   +/- Stdev\r\n    Latency   721.34us  202.40us  11.13ms   99.32%\r\n    Req/Sec     7.01k   230.04     7.62k    94.00%\r\n  139558 requests in 10.00s, 18.63MB read\r\nRequests/sec:  13956.14\r\nTransfer/sec:      1.86MB\r\n\r\n$ wrk http://localhost:8000/async\r\nRunning 10s test @ http://localhost:8000/async\r\n  2 threads and 10 connections\r\n  Thread Stats   Avg      Stdev     Max   +/- Stdev\r\n    Latency   706.04us  109.90us   7.46ms   98.30%\r\n    Req/Sec     7.12k   136.09     7.39k    90.59%\r\n  143188 requests in 10.10s, 19.12MB read\r\nRequests/sec:  14176.95\r\nTransfer/sec:      1.89MB\r\n```\r\n\r\nThe app used for the test is as follows\r\n```python\r\nfrom starlette.applications import Starlette\r\nfrom starlette.responses import JSONResponse\r\nfrom starlette.routing import Route\r\nimport uvicorn\r\n\r\nasync def async_page(request):\r\n    return JSONResponse({'status': 'ok'})\r\n\r\nasync def sync_page(request):\r\n    return JSONResponse({'status': 'ok'})\r\n\r\napp = Starlette(routes=[\r\n    Route('/async', async_page),\r\n    Route('/sync', sync_page),\r\n])\r\n\r\nif __name__ == \"__main__\":\r\n    uvicorn.run(\"app:app\", port=8000, log_level=\"critical\")\r\n```\r\n\r\n* Apply PR suggestion\r\n\r\n---------\r\n\r\nCo-authored-by: Marcelo Trylesinski <marcelotryle@gmail.com>","shortMessageHtmlLink":"refactor: check endpoint handler is async only once (<a class=\"issue-link js-issue-link\" data-error-text=\"Failed to load title\" data-id=\"2174750192\" data-permission-text=\"Title is private\" data-url=\"https://github.com/encode/starlette/issues/2536\" data-hovercard-type=\"pull_request\" data-hovercard-url=\"/encode/starlette/pull/2536/hovercard\" href=\"https://github.com/encode/starlette/pull/2536\">#2536</a>)"}},{"before":"9bd1b817d49c02f10561e1f6028e83f2c8190850","after":"9cf26eebd190c54deadc2a2468ce300ba886ab18","ref":"refs/heads/master","pushedAt":"2024-04-20T07:54:26.000Z","pushType":"pr_merge","commitsCount":1,"pusher":{"login":"Kludex","name":"Marcelo Trylesinski","path":"/Kludex","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/7353520?s=80&v=4"},"commit":{"message":"Fail fast on invalid `Jinja2Template` instantiation parameters (#2568)\n\nCalling `Jinja2Template()` with both `directory` and `env` shouldn't be allowed. 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