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A
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
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脚本之家。
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