Django分析之使用redis缓存服务器

redis相信大家都很熟悉了，和memcached一样是一个高性能的key-value数据库，至于什么是缓存服务器，度娘都有很明白的介绍了，我在这里就不一一介绍了。

下面我就来介绍如何在Django中配置使用redis数据库，首先是先安装redis了，win中执行

#安装Redis服务器端
~ sudo apt-get install redis-server

在Ubuntu中执行下面这句命令：

#安装Redis服务器端
~ sudo apt-get install redis-server

pip install django-redis==4.8.0

pip install python-memcached==1.58 

settine.py

# redis setting
# CACHES = {
#     'default': {
#         'BACKEND': 'django_redis.cache.RedisCache',
#         'LOCATION': '127.0.0.1:6379',
#         "OPTIONS": {
#             "CLIENT_CLASS": "django_redis.client.DefaultClient",
#         },
#     },
# }

CACHES = {
'default': {
'BACKEND': 'django.core.cache.backends.memcached.MemcachedCache',
'LOCATION': '127.0.0.1:11211',
}
}

# timeout
# REDIS_TIMEOUT = 30*60
REDIS_TIMEOUT = 10

from django.conf import settings
from django.core.cache import cache
import json

# read cache user id
def read_from_cache(user_name='public'):
"""
读取缓存
:param user_name:
:return:
"""
key = 'test1_'+user_name
value = cache.get(key)
if value == None:
data = None
else:
data = json.loads(value)
return data

def write_to_cache(key, value):
"""
写入缓存
:param value:
:param user_name:
:return:
"""
cache.set(key, json.dumps(value), settings.REDIS_TIMEOUT)

from django.http import HttpResponse

def redis_caches():
def _deco(func):
def __deco(*args, **kwargs):
obj, request = args
if request.method == 'GET':  # 如果请求是已Get方式请求的，则调用get方式的方法
data = request.GET.dict()
elif request.method == 'POST':  # 如果是post则调用这个方式
data = request.POST.dict()

class_name = obj.__class__.__name__
cache = read_from_cache()
if cache:
print '%s to  cache'%class_name
result = cache
else:
print '%s to  view'%class_name
result = obj.process(data, request)
print 'func  return  ', result
write_to_cache('test1_public', result)
return HttpResponse(result)
return __deco
return _deco