【Django】 gunicorn部署纪要
使用Gunicorn 来部署Django应用, 没有一步一步写怎么操作,简单记录下重要的点,方面以后查阅。 基本的方式还是Nginx反向代理到Gunicorn, Gunicorn wsgi来启动Django。
特点
Gunicorn是基于prefork模式的Python wsgi应用服务器,支持 Unix like的系统
採用epoll (Linux下) 非堵塞网络I/O 模型
多种Worker类型能够选择 同步的,基于事件的(gevent tornado等),基于多线程的
高性能,比之uwsgi不相上下
配置使用非常easy
支持 Python 2.x >= 2.6 or Python 3.x >= 3.2
操作
Gunicron 安装非常easy pip install gunicorn
或者用easy_install ,源代码方式都能够,基本是纯Python代码,安装一般比較顺利。最好配合 virtualenv
一起使用。
django最简单部署(wsgi仅仅的是django项目中的wsgi.py文件)
gunicorn wsgi:application
#8个worker
gunicorn -w 8 wsgi:application
#指定端口号
gunicorn -w 8 -b 0.0.0.0:8888 wsgi:application
#unix socket
gunicorn -w 8 --bind unix:/xx/mysock.sock wsgi:application
#使用gevent做异步(默认worker是同步的)
gunicorn -w 8 --bind 0.0.0.0:8000 -k 'gevent' wsgi:application
#选项挺多,看文档或者使用 --help都能够查看
--log-level=DEBUG
--timeout=100
參考脚本
下面仅仅是些參考例子,并非实际部署配置等。
部署脚本 參考一
#!/bin/bash
NAME="djangotut" # Name of the application
DJANGODIR=/xxx/django_project # Django project directory
SOCKFILE=/xxx/gunicorn.sock # we will communicte using this unix socket
USER=osboxes # the user to run as
GROUP=osboxes # the group to run as
NUM_WORKERS=8 # how many worker processes should Gunicorn spawn
MAX_REQUESTS=100000 # reload the application server for each request
DJANGO_SETTINGS_MODULE=django_project.settings # which settings file should Django use
DJANGO_WSGI_MODULE=django_project.wsgi # WSGI module name
echo “Starting $NAME as `whoami`”
# Activate the virtual environment
cd $DJANGODIR
source ~/.virtualenvs/django-tutorial-env/bin/activate
export DJANGO_SETTINGS_MODULE=$DJANGO_SETTINGS_MODULE
export PYTHONPATH=$DJANGODIR:$PYTHONPATH
# Create the run directory if it doesn’t exist
RUNDIR=$(dirname $SOCKFILE)
test -d $RUNDIR || mkdir -p $RUNDIR
# Start your Django Unicorn
# Programs meant to be run under supervisor should not daemonize themselves (do not use –daemon)
exec ~/.virtualenvs/django-tutorial-env/bin/gunicorn ${DJANGO_WSGI_MODULE}:application \
–name $NAME \
–workers $NUM_WORKERS \
–max-requests $MAX_REQUESTS \
–user=$USER –group=$GROUP \
–bind=0.0.0.0:3000 \
–log-level=error \
–log-file=-
自己用的一个简单的shell脚本。參考二
#!/bin/sh
#file: gun.sh
#start and stop gunicorn+django app
P=8000
worker=1
host="0.0.0.0"
case "$@" in
start)
gunicorn -b $host:$P -w $worker -k 'gevent' wsgi:application -D
;;
stop)
kill -9 `ps aux|grep gunicorn|grep $P|awk '{print $2}'|xargs`
;;
restart)
kill -9 `ps aux|grep gunicorn|grep $P|awk '{print $2}'|xargs`
sleep 1
gunicorn -b $host:$P -w $worker -k 'gevent' wsgi:application -D
;;
reload)
ps aux |grep gunicorn |grep $P | awk '{print $2}'|xargs kill -HUP
;;
status)
pids=$(ps aux|grep gunicorn|grep $P)
echo "$pids"
;;
*)
echo 'unknown arguments args(start|stop|restart|status|reload)'
exit 1
;;
esac
nginx 配置例子
server {
listen 80;
server_name 0.0.0.0;
client_max_body_size 4G;
location /static/ {
alias /xxx/static/;
}
location /media/ {
alias /xxx/media/;
}
location / {
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header Host $http_host;
proxy_redirect off;
# Try to serve static files from nginx, no point in making an
# *application* server like Unicorn/Rainbows! serve static files.
if (!-f $request_filename) {
proxy_pass http://app_server;
break;
}
}
}
优化
- 採用 meinheld 来取代默认的那些worker,这也是一个基于事件的async worker。可是比gevent等更快。
pip install -U meinheld
gunicorn --workers=2 --worker-class="egg:meinheld#gunicorn_worker" wsgi