python使用pipeline批量读写redis的方法

> import redis

> conn = redis.Redis(host='192.168.8.176',port=6379)

> pipe = conn.pipeline()

> pipe.hset("hash_key","leizhu900516",8)
Pipeline<ConnectionPool<Connection<host=192.168.8.176,port=6379,db=0>

> pipe.hset("hash_key","chenhuachao",9)
Pipeline<ConnectionPool<Connection<host=192.168.8.176,port=6379,db=0>

> pipe.hset("hash_key","wanger",10)
Pipeline<ConnectionPool<Connection<host=192.168.8.176,port=6379,db=0>

> pipe.execute()
[1L, 1L, 1L]
> 

> pipe.hget("hash_key","leizhu900516")
Pipeline<ConnectionPool<Connection<host=192.168.8.176,port=6379,db=0>

> pipe.hget("hash_key","chenhuachao")
Pipeline<ConnectionPool<Connection<host=192.168.8.176,port=6379,db=0>

> pipe.hget("hash_key","wanger")
Pipeline<ConnectionPool<Connection<host=192.168.8.176,port=6379,db=0>

> result = pipe.execute()

> print result
['8', '9', '10']  #有序的列表
>

redis_db = redis.Redis(host='127.0.0.1',port=6379)
data = ['zhangsan', 'lisi', 'wangwu']

with redis_db.pipeline(transaction=False) as pipe:
  for i in data:
    pipe.zscore(self.key, i)

  result = pipe.execute()

print result
# [100, 80, 78]

pipe =conn.pipeline(transaction=False)