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docs/ko/docs/deployment/server-workers.md
## 구니콘을 유비콘 워커와 함께 실행하기 설치 후 구니콘 실행하기: <div class="termy"> ```console $ gunicorn main:app --workers 4 --worker-class uvicorn.workers.UvicornWorker --bind 0.0.0.0:80 [19499] [INFO] Starting gunicorn 20.1.0 [19499] [INFO] Listening at: http://0.0.0.0:80 (19499) [19499] [INFO] Using worker: uvicorn.workers.UvicornWorker [19511] [INFO] Booting worker with pid: 19511 [19513] [INFO] Booting worker with pid: 19513
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docs/ru/docs/deployment/concepts.md
Но часто Вам может понадобиться несколько одновременно работающих одинаковых процессов. ### Множество процессов - Воркеры (Workers)
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docs/ru/docs/deployment/docker.md
Я подготовил для вас Docker-образ, в который включён Gunicorn управляющий процессами (воркерами) Uvicorn, в соответствии с концепциями рассмотренными в предыдущей главе: [Рабочие процессы сервера (воркеры) - Gunicorn совместно с Uvicorn](server-workers.md){.internal-link target=_blank}. Этот образ может быть полезен для ситуаций описанных тут: [Множество процессов внутри контейнера для особых случаев](#_11).
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docs/en/docs/deployment/concepts.md
Here are some possible combinations and strategies: * **Gunicorn** managing **Uvicorn workers** * Gunicorn would be the **process manager** listening on the **IP** and **port**, the replication would be by having **multiple Uvicorn worker processes**. * **Uvicorn** managing **Uvicorn workers**
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docs/hu/docs/index.md
<img src="https://github.com/tiangolo/fastapi/workflows/Test/badge.svg?event=push&branch=master" alt="Test"> </a> <a href="https://coverage-badge.samuelcolvin.workers.dev/redirect/tiangolo/fastapi" target="_blank"> <img src="https://coverage-badge.samuelcolvin.workers.dev/tiangolo/fastapi.svg" alt="Coverage"> </a> <a href="https://pypi.org/project/fastapi" target="_blank">
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docs/en/docs/release-notes.md
* 🌐 Add French translation for FastAPI People. PR [#2232](https://github.com/tiangolo/fastapi/pull/2232) by [@JulianMaurin](https://github.com/JulianMaurin). * 🌐 Add Korean translation for Tutorial - Path Parameters. PR [#2355](https://github.com/tiangolo/fastapi/pull/2355) by [@hard-coders](https://github.com/hard-coders).
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docs/en/docs/python-types.md
By declaring types for your variables, editors and tools can give you better support. This is just a **quick tutorial / refresher** about Python type hints. It covers only the minimum necessary to use them with **FastAPI**... which is actually very little. **FastAPI** is all based on these type hints, they give it many advantages and benefits.
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docs/ko/docs/deployment/docker.md
## Gunicorn과 함께하는 공식 도커 이미지 - Uvicorn 앞 챕터에서 자세하게 설명된 것 처럼, Uvicorn 워커와 같이 실행되는 Gunicorn을 포함하는 공식 도커 이미지가 있습니다: [서버 워커 - Uvicorn과 함께하는 Gunicorn](server-workers.md){.internal-link target=_blank}. 이 이미지는 주로 위에서 설명된 상황에서 유용할 것입니다: [다중 프로세스를 가지는 컨테이너와 특수한 경우들](#containers-with-multiple-processes-and-special-cases).
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docs/em/docs/deployment/server-workers.md
## 🏃 🐁 ⏮️ Uvicorn 👨🏭 ⤴️ 👆 💪 🏃 🐁 ⏮️: <div class="termy"> ```console $ gunicorn main:app --workers 4 --worker-class uvicorn.workers.UvicornWorker --bind 0.0.0.0:80 [19499] [INFO] Starting gunicorn 20.1.0 [19499] [INFO] Listening at: http://0.0.0.0:80 (19499) [19499] [INFO] Using worker: uvicorn.workers.UvicornWorker [19511] [INFO] Booting worker with pid: 19511 [19513] [INFO] Booting worker with pid: 19513
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docs/zh/docs/deployment/server-workers.md
这将安装带有`standard`扩展包(以获得高性能)的 Uvicorn 和 Gunicorn。 ## Run Gunicorn with Uvicorn Workers 接下来你可以通过以下命令运行Gunicorn: <div class="termy"> ```console $ gunicorn main:app --workers 4 --worker-class uvicorn.workers.UvicornWorker --bind 0.0.0.0:80 [19499] [INFO] Starting gunicorn 20.1.0 [19499] [INFO] Listening at: http://0.0.0.0:80 (19499) [19499] [INFO] Using worker: uvicorn.workers.UvicornWorker [19511] [INFO] Booting worker with pid: 19511
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