在C/S架构中，可以充分地利用Redis订阅服务，实现服务器端和客户端的信息收发，下面说说在Python中如何使用Redistribute的订阅服务。
这里要举的例子是，Server端进行服务的订阅，而Client端进行消息的广播发送。
1.方法一：Server端使用Redis操作+Client端使用Python交互器
（1）Server端
进入Redis操作界面：
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xpleaf@xpleaf-machine:/mnt/hgfs/Python/day7/redis-
2.8
.
9
/src$ redis-cli
127.0
.
0.1
:
6379
>
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开始监听频道chan_107：
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127.0
.
0.1
:
6379
> SUBSCRIBE chan_107
Reading messages... (press Ctrl-C to quit)
1
)
"subscribe"
2
)
"chan_107"
3
) (integer)
1
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（2）Client端
创建redis_connector.py文件，用以连接Server端Redis：
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#!/usr/bin/env python
import
redis
r = redis.Redis(host=
'192.168.1.112'
,port=
6379
,db=
0
)
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在Python交互器中导入redis_connector，并发布消息：
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>>> redis.r.publish(
'chan_107'
,
'hello my name is xpleaf'
)
1L
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此时在Server端中就能看到Client端发布的消息了：
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127.0
.
0.1
:
6379
> SUBSCRIBE chan_107
Reading messages... (press Ctrl-C to quit)
1
)
"subscribe"
2
)
"chan_107"
3
) (integer)
1
1
)
"message"
2
)
"chan_107"
3
)
"hello my name is xpleaf"
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2.方法二：Server端使用Python程序+Client端使用Python交互器
（1）Server端
程序代码如下：
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import
redis_connector
as
redis
channel =
'chan_107'
#频道应该要和发布者的一样，否则将无法订阅到发布者发布的消息
msg_queue = redis.r.pubsub() #bind listen instance
msg_queue.subscribe(channel)
while
True:
data = msg_queue.parse_response() #waiting
for
the publisher
print data
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可以看到这里也导入了redis_connector模块用来连接本地的Redis数据库，跟Client端的类似，只是IP地址改为'localhost'，如下：
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#!/usr/bin/env python
import
redis
r = redis.Redis(host=
'localhost'
,port=
6379
,db=
0
)
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msg_queue.parse_response()即是用来响应Client端发布的消息，执行该程序，开始监听消息：
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xpleaf@xpleaf-machine:/mnt/hgfs/Python/day7/monitor/m_server/core$ python redis_sub.py
===>光标停在此处，开始监听Client端发布的消息
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（2）Client端
创建redis_connector.py文件，用以连接Server端Redis：
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#!/usr/bin/env python
import
redis
r = redis.Redis(host=
'192.168.1.112'
,port=
6379
,db=
0
)
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在Python交互器中导入redis_connector，并发布消息：
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>>> redis.r.publish(
'chan_107'
,
'hello my name is yonghaoye'
)
2L
>>> redis.r.publish(
'chan_107'
,
'second msg'
)
2L
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上面两步其实和方法一是一样的。
此时在Server端中也可以订阅到Client端发布的消息了：
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xpleaf@xpleaf-machine:/mnt/hgfs/Python/day7/monitor/m_server/core$ python redis_sub.py
[
'message'
,
'chan_107'
,
'hello my name is yonghaoye'
]
[
'message'
,
'chan_107'
,
'second msg'
]
===>光标停在此处，继续监听Client端发布的消息
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3.方法三：Server端使用Python程序+Client端使用Python程序
直接给出Client端的程序代码：
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import
redis_connector
as
redis
for
i
in
range(
10
):
redis.r.publish(
'chan_107'
,
'This is the NO.%s msg I send to you'
% i)
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Server端开始监听：
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xpleaf@xpleaf-machine:/mnt/hgfs/Python/day7/monitor/m_server/core$ python redis_sub.py
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Client端发布消息：
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[root@moban ~]# python publish.py
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在Server端中很快就可以监听到Client端发布的消息：
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xpleaf@xpleaf-machine:/mnt/hgfs/Python/day7/monitor/m_server/core$ python redis_sub.py
[
'message'
,
'chan_107'
,
'This is the NO.0 msg I send to you'
]
[
'message'
,
'chan_107'
,
'This is the NO.1 msg I send to you'
]
[
'message'
,
'chan_107'
,
'This is the NO.2 msg I send to you'
]
[
'message'
,
'chan_107'
,
'This is the NO.3 msg I send to you'
]
[
'message'
,
'chan_107'
,
'This is the NO.4 msg I send to you'
]
[
'message'
,
'chan_107'
,
'This is the NO.5 msg I send to you'
]
[
'message'
,
'chan_107'
,
'This is the NO.6 msg I send to you'
]
[
'message'
,
'chan_107'
,
'This is the NO.7 msg I send to you'
]
[
'message'
,
'chan_107'
,
'This is the NO.8 msg I send to you'
]
[
'message'
,
'chan_107'
,
'This is the NO.9 msg I send to you'
]
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