Python利用AOP思想实现Redis缓存装饰器
本文介绍在Python中利用面向切面编程(AOP)思想,通过自定义装饰器实现Redis缓存功能。示例代码展示了如何封装读写逻辑,利用装饰器自动处理缓存的获取与存储,提升数据访问效率。
缓存技术堪称计算机科学中最卓越的发明之一。本文将详细解析如何在Python中运用面向切面编程(AOP)的理念,通过装饰器模式实现Redis缓存功能,帮助读者深入理解这一技术实践。
import redis
enable=True
#enable=False
def readRedis(key):
if enable:
r = redis.Redis(host='10.224.38.31', port=8690,db=0, password='xxxx')
val = r.get(key)
if val is None:
print "can not find data for KEY:%s \n" % (key)
return None
else:
print "====Get VALUE from Redis by KEY:%s \n" % ( key)
return pickle.loads(val)
else:
print "disable cache"
def writeRedis(key, val):
r = redis.Redis(host='10.224.38.31', port=8690,db=0, password='xxxx')
if val is None:
print "Val is None, don't save it to redis \n"
else:
r.set(key, pickle.dumps(val) )
r.expire(key, 60*60*24*7) #1week
print "====Write value of KEY:%s to redis \n" % (key)
import pickle, functools
def cache(f):
def wrapper(*args, **kwargs):
key = pickle.dumps((f.__name__, args, kwargs)).replace("\n","")
val = readRedis(key)
if val is None:
val = f(*args, **kwargs) # call the wrapped function, save in cache
writeRedis(key, val)
return val # read value from cache
functools.update_wrapper(wrapper, f) # update wrapper's metadata
return wrapper
@cache
def foo(n):
return n*2
foo(10) # first call with parameter 10, sleeps
foo(10) # returns immediately
foo(15) # returns immediately
foo(19) # returns immediately
以上内容为本文的全部分享,期望能为读者的学习带来启发与帮助,同时也欢迎持续关注本站以获取更多技术资讯。
本站声明
本文内容仅供参考,不代表本站观点。转载或引用请注明出处。如发现内容问题,请通过联系我们页面反馈。













