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Python连接Redis连接配置

时间:2015-06-30 12:54:51      阅读:488      评论:0      收藏:0      [点我收藏+]

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1. 测试连接:

 

Python 2.7.8 (default, Oct 20 2014, 15:05:19) 
[GCC 4.9.1] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import redis
>>> redisClient = redis.StrictRedis(host=127.0.0.1,port=6379,db=0)
>>> redisClient.set(test_redis,Hello wyl)
True>>> value = redisClient.get(test_redis)
>>> print value
Hello wyl>>> redisClient.delete(test_redis)
1
>>> value = redisClient.get(test_redis)
>>> print value
None
>>> 

 

在此之前必须确保python和redis正确安装和配置.

>>> dir(redis)
[AuthenticationError, BlockingConnectionPool, BusyLoadingError, Connection, ConnectionError, ConnectionPool, DataError, InvalidResponse, PubSubError, ReadOnlyError, Redis, RedisError, ResponseError, SSLConnection, StrictRedis, TimeoutError, UnixDomainSocketConnection, VERSION, WatchError, __all__, __builtins__, __doc__, __file__, __name__, __package__, __path__, __version__, _compat, client, connection, exceptions, from_url, lock, utils]

 

 

2. 测试实例:

(1).把文本数据导入到redis:

***:~/Redis$ more redis.txt
wolys # wolysopen111 # wolys@21cn.com

coralshanshan # 601601601 # zss1984@126.com

pengfeihuchao # woaidami # 294522652@qq.com

simulategirl # @#$9608125 # simulateboy@163.com

daisypp # 12345678 # zhoushigang_123@163.com

sirenxing424 # tfiloveyou # sirenxing424@126.com

raininglxy # 1901061139 # lixinyu23@qq.com

leochenlei # leichenlei # chenlei1201@gmail.com

z370433835 # lkp145566 # 370433835@qq.com

--创建命令脚本

 

***:~/Redis$ cat imp_red.py 

import redis

import re

pool = redis.ConnectionPool(host=127.0.0.1, port=6379)

r = redis.Redis(connection_pool=pool)

pipe = r.pipeline()

p=re.compile(r(.*)\s#\s(.*)\s#\s(.*));

pipe = r.pipeline()

f = open("redis.txt")

matchs=p.findall(f.read())

for user in matchs:

   key=users_%s %user[0].strip()

   pipe.hset(key,pwd,user[1].strip()).hset(key,email,user[2].strip())

pipe.execute()

f.close()

 

执行脚本:

***:~/Redis$ python imp_red.py 

查看redis数据:

***:~/Redis$ redis-cli 
127.0.0.1:6379> keys *
1) "users_pengfeihuchao"
2) "users_coralshanshan"
3) "users_leochenlei"
4) "users_sirenxing424"
5) "users_z370433835"
6) "users_raininglxy"
7) "users_daisypp"
8) "users_wolys"
9) "users_simulategirl"
127.0.0.1:6379> 

 

 

以上知识参考文章:http://blog.csdn.net/lichangzai/article/details/8701562

 

3. redis的简单操作:

redis连接实例是线程安全的,可以直接将redis连接实例设置为一个全局变量,直接使用。如果需要另一个Redis实例(or Redis数据库)时,就需要重新创建redis连接实例来获取一个新的连接。同理,python的redis没有实现select命令。

Python 2.7.8 (default, Oct 20 2014, 15:05:19) 
[GCC 4.9.1] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import redis
>>> r = redis.Redis(host=127.0.0.1, port = 6379, db=0)
>>> r.set(wu,yanlong)
True
>>> r.get()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: get() takes exactly 2 arguments (1 given)
>>> r.get(wu)
yanlong
>>> r[wu]
yanlong
>>> r.keys()
[users_pengfeihuchao, users_coralshanshan, users_leochenlei, users_sirenxing424, users_z370433835, users_raininglxy, wu, users_daisypp, users_wolys, users_simulategirl]
>>> r.keys(wu)
[wu]
>>> r.dbsize()
10L
>>> r.delete(wu)
1
>>> r.keys()
[users_pengfeihuchao, users_coralshanshan, users_leochenlei, users_sirenxing424, users_z370433835, users_raininglxy, users_daisypp, users_wolys, users_simulategirl]
>>> r.dbsize()
9L
>>> r.save()
True
>>> r.get(wu)
>>> r.flushdb()
True
>>> r.keys()
[]
>>> 

 

4. pipeline()操作:

管道(pipeline)是redis在提供单个请求中缓冲多条服务器命令的基类的子类。它通过减少服务器-客户端之间反复的TCP数据库包,从而大大提高了执行批量命令的功能。

>>> p = r.pipeline() #创建一个管道
>>> p.set(hello,redislearn)
Pipeline<ConnectionPool<Connection<host=127.0.0.1,port=6379,db=0>>>
>>> p.sadd(fff,sss)
Pipeline<ConnectionPool<Connection<host=127.0.0.1,port=6379,db=0>>>
>>> p.incr(num)
Pipeline<ConnectionPool<Connection<host=127.0.0.1,port=6379,db=0>>>
>>> p.excute()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
AttributeError: Pipeline object has no attribute excute
>>> p.execute()
[True, 1, 1]
>>> r.get(hello)
redislearn
>>> 

管道的命令可以写在一起,如:

     
>>> p.set(hello,redis).p.sadd(faz,baz).incr(num).execute()

默认的情况下,管道里执行的命令可以保证执行的原子性,执行pipe = r.pipeline(transaction=False)可以禁用这一特性。

 

以上部分参考:http://debugo.com/python-redis/

 

Python连接Redis连接配置

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原文地址:http://www.cnblogs.com/blogofwyl/p/4609877.html

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