import redis

class Database:  
    def __init__(self):  
        self.host = 'localhost'  
        self.port = 6379  

    def write(self,website,city,year,month,day,deal_number):  
        try:  
            key = '_'.join([website,city,str(year),str(month),str(day)])  
            val = deal_number  
            r = redis.StrictRedis(host=self.host,port=self.port)  
            r.set(key,val)  
        except Exception, exception:  
            print exception  

    def read(self,website,city,year,month,day):  
        try:  
            key = '_'.join([website,city,str(year),str(month),str(day)])  
            r = redis.StrictRedis(host=self.host,port=self.port)  
            value = r.get(key)  
            print value  
            return value  
        except Exception, exception:  
            print exception  

if __name__ == '__main__':  
    db = Database()  
    db.write('meituan','beijing',2013,9,1,8000)  
    db.read('meituan','beijing',2013,9,1)  

上面操作是先写入一条数据,然后再读取,如果写入或者读取数据太多,那么我们最好用批处理,这样效率会更高。

import redis 
import datetime 

class Database: 
    def __init__(self): 
        self.host = 'localhost' 
        self.port = 6379 
        self.write_pool = {} 

    def add_write(self,website,city,year,month,day,deal_number): 
        key = '_'.join([website,city,str(year),str(month),str(day)]) 
        val = deal_number 
        self.write_pool[key] = val 

    def batch_write(self): 
        try: 
            r = redis.StrictRedis(host=self.host,port=self.port) 
            r.mset(self.write_pool) 
        except Exception, exception: 
            print exception 

 
def add_data(): 
    beg = datetime.datetime.now() 
    db = Database() 
    for i in range(1,10000): 
        db.add_write('meituan','beijing',2013,i,1,i) 
    db.batch_write() 
    end = datetime.datetime.now() 
    print end-beg 

if __name__ == '__main__': 
    add_data()  

参考文章:  http://www.jb51.net/article/48212.htm