Python连接Redis连接配置

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 # [e-mail]

coralshanshan # 601601601 # [e-mail]

pengfeihuchao # woaidami # [e-mail]

simulategirl # @#$9608125 # [e-mail]

daisypp # 12345678 # [e-mail]

sirenxing424 # tfiloveyou # [e-mail]

raininglxy # 1901061139 # [e-mail]

leochenlei # leichenlei # [e-mail]

z370433835 # lkp145566 # [e-mail]

--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/