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64 lines
1.6 KiB
Python
64 lines
1.6 KiB
Python
# -*- coding: utf-8 -*-
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# Gunicorn是否为守护进程（后端进程）
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daemon = True
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# 监听内网端口8000, 绑定的IP地址和端口
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bind = "0.0.0.0:8000"
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# 工作目录
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chdir = '.'
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# 工作模式，采用uvicorn库
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worker_class = "uvicorn.workers.UvicornWorker"
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# 服务器中排队等待的最大连接数
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backlog = 2048
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# 定义同时开启的处理请求的进程数量
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workers = 4
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# 数据库连接数
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threads = 2
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# 最大客户端并发数量
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worker_connections = 1000
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# 访问超时时间，默认30s
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timeout = 600
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# 接收到restart信号后，worker可以在graceful_timeout时间内，继续处理完当前requests
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graceful_timeout = 60
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# server端保持连接时间
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keepalive = 2
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# # HTTP请求行的最大大小
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limit_request_line = 4094
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# # 限制HTTP请求中请求头字段的数量
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limit_request_fields = 100
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# # 限制HTTP请求中请求头的大小
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limit_request_field_size = 8190
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reload = False
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# 设置进程pid记录文件目录
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pidfile = 'logs/gunicorn.pid'
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# 日志级别
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loglevel = 'debug'
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# 访问日志文件路径
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accesslog = "logs/gunicorn_access.log"
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# 错误日志文件的路径
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errorlog = "logs/gunicorn_error.log"
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# 访问日志文件格式
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access_log_format = '%(t)s %(h)s "%(r)s" %(s)s %(b)s "%(f)s" "%(L)s"'
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# 启动命令 : gunicorn -c gunicorn.py main:create_app
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# 启动查看 : ps -ef | grep gunicorn
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# 停止命令 : kill -9 $(ps -ef | grep gunicorn | awk '{print $2}')
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# 在Linux中查看Gunicorn相关的进程树结构命令：pstree -ap | grep gunicorn
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# Dockerfile中启动命令：ENTRYPOINT ["gunicorn", "-c", "gunicorn.py", "main:create_app"]
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