越来越觉得的缓存是计算机科学里最NB的发明(没有之一),本文就来介绍了一下在Python中使用AOP实现Redis缓存示例,小伙伴们一起来了解一下
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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
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以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持服务器之家。
原文链接:http://flyfoxs.iteye.com/blog/2383929?utm_source=tuicool&utm_medium=referral