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这期内容当中小编将会给大家带来有关如何在Python配置Redis连接，文章内容丰富且以专业的角度为大家分析和叙述，阅读完这篇文章希望大家可以有所收获。
Python主要应用于：1、Web开发；2、数据科学研究；3、网络爬虫；4、嵌入式应用开发；5、游戏开发；6、桌面应用开发。
系统环境：
OS：Oracle Linux Enterprise 5.6
Redis：redis-2.6.8
Python：Python-2.7.3
redis的python包版本：redis-2.7.2.tar
前提条件：
1.确保Redis已成功安装并且正确配置，参考文档
主从配置文档：
//www.jb51.net/article/147397.htm
2.确保Python环境已成功配置，参考文档
https://www.jb51.net/article/109765.htm
配置python连接redis:
1.安装Redis的Python包：
使用easy-install安装，关于easy-install的配置，参考以上Python环境的搭建。
[root@njdyw bin]# easy_install2.7.3 redis Searching for redis Reading http://pypi.python.org/simple/redis/ Reading http://github.com/andymccurdy/redis-py Best match: redis 2.7.2 Downloading http://pypi.python.org/packages/source/r/redis/redis-2.7.2.tar.gz#md5=17ac60dcf13eb33f82cc25974ab17157 Processing redis-2.7.2.tar.gz Running redis-2.7.2/setup.py -q bdist_egg --dist-dir /tmp/easy_install-8FAlft/redis-2.7.2/egg-dist-tmp-JzQViJ zip_safe flag not set; analyzing archive contents... Adding redis 2.7.2 to easy-install.pth file Installed /usr/local/python2.7.3/lib/python2.7/site-packages/redis-2.7.2-py2.7.egg Processing dependencies for redis Finished processing dependencies for redis
安装Parser包（可选）
说明：Parser可以控制如何解析redis响应的内容。redis-py包含两个Parser类，PythonParser和HiredisParser。默认，如果已经安装了hiredis模块，redis-py会使用HiredisParser，否则会使用PythonParser。
HiredisParser是C编写的，由redis核心团队维护，性能要比PythonParser提高10倍以上，所以推荐使用。安装方法，使用easy_install：
[root@njdyw ~]# easy_install2.7.3 hiredis Searching for hiredis Reading http://pypi.python.org/simple/hiredis/ Reading https://github.com/pietern/hiredis-py Best match: hiredis 0.1.1 Downloading http://pypi.python.org/packages/source/h/hiredis/hiredis-0.1.1.tar.gz#md5=92128474f6fb027cfb8587fce724ea8e Processing hiredis-0.1.1.tar.gz Running hiredis-0.1.1/setup.py -q bdist_egg --dist-dir /tmp/easy_install-ZanSCB/hiredis-0.1.1/egg-dist-tmp-XCZBQ0 zip_safe flag not set; analyzing archive contents... Adding hiredis 0.1.1 to easy-install.pth file Installed /usr/local/python2.7.3/lib/python2.7/site-packages/hiredis-0.1.1-py2.7-linux-x86_64.egg Processing dependencies for hiredis Finished processing dependencies for hiredis
2.检查安装是否成功
--easy-install安装的扩展包默认在python的site-packages目录下
[root@njdyw ~]#whereis python2.7.3 python2.7: /bin/python2.7.3 /usr/local/python2.7.3 [root@njdyw ~]#cd /usr/local/python2.7.3/lib/python2.7/site-packages/ [root@njdyw site-packages]# ll
总计 408
-rw-r--r-- 1 root root 239 03-21 10:45 easy-install.pth -rw-r--r-- 1 root root 119 03-21 10:07 README -rw-r--r-- 1 root root 60401 03-21 10:45redis-2.7.2-py2.7.egg -rw-r--r-- 1 root root 332125 03-21 10:12 setuptools-0.6c11-py2.7.egg -rw-r--r-- 1 root root 30 03-21 10:12 setuptools.pth
可以看到redis-2.7.2-py2.7.egg包已经成功安装
3.测试连接
[root@njdyw site-packages]#python2.7.3
Python 2.7.3 (default, Mar 21 2013, 10:06:48)
[GCC 4.1.2 20080704 (Red Hat 4.1.2-50)] 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 Python')
True
>>> value=redisClient.get('test_redis')
>>> print value
Hello Python
>>> redisClient.delete('test_redis')
True
>>> value=redisClient.get('test_redis')
>>> print value
None
>>> dir(redis)
['AuthenticationError', 'Connection', 'ConnectionError', 'ConnectionPool', 'DataError', 'InvalidResponse', 'PubSubError', 'Redis', 'RedisError', 'ResponseError', 'StrictRedis', 'UnixDomainSocketConnection', 'VERSION', 'WatchError', '__all__', '__builtins__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__path__', '__version__', '_compat', 'client', 'connection', 'exceptions', 'from_url', 'utils']
>>> redisClient=redis.StrictRedis(host='127.0.0.1',port=6379,db=0)
>>> dir(redisClient)
['RESPONSE_CALLBACKS', '__class__', '__contains__', '__delattr__', '__delitem__', '__dict__', '__doc__', '__format__', '__getattribute__', '__getitem__', '__hash__', '__init__', '__module__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__setitem__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', '_zaggregate', 'append', 'bgrewriteaof', 'bgsave', 'bitcount', 'bitop', 'blpop', 'brpop', 'brpoplpush', 'client_kill', 'client_list', 'config_get', 'config_set', 'connection_pool', 'dbsize', 'debug_object', 'decr', 'delete', 'echo', 'eval', 'evalsha', 'execute_command', 'exists', 'expire', 'expireat', 'flushall', 'flushdb', 'from_url', 'get', 'getbit', 'getrange', 'getset', 'hdel', 'hexists', 'hget', 'hgetall', 'hincrby', 'hincrbyfloat', 'hkeys', 'hlen', 'hmget', 'hmset', 'hset', 'hsetnx', 'hvals', 'incr', 'incrbyfloat', 'info', 'keys', 'lastsave', 'lindex', 'linsert', 'llen', 'lock', 'lpop', 'lpush', 'lpushx', 'lrange', 'lrem', 'lset', 'ltrim', 'mget', 'move', 'mset', 'msetnx', 'object', 'parse_response', 'persist', 'pexpire', 'pexpireat', 'ping', 'pipeline', 'pttl', 'publish', 'pubsub', 'randomkey', 'register_script', 'rename', 'renamenx', 'response_callbacks', 'rpop', 'rpoplpush', 'rpush', 'rpushx', 'sadd', 'save', 'scard', 'script_exists', 'script_flush', 'script_kill', 'script_load', 'sdiff', 'sdiffstore', 'set', 'set_response_callback', 'setbit', 'setex', 'setnx', 'setrange', 'shutdown', 'sinter', 'sinterstore', 'sismember', 'slaveof', 'smembers', 'smove', 'sort', 'spop', 'srandmember', 'srem', 'strlen', 'substr', 'sunion', 'sunionstore', 'time', 'transaction', 'ttl', 'type', 'unwatch', 'watch', 'zadd', 'zcard', 'zcount', 'zincrby', 'zinterstore', 'zrange', 'zrangebyscore', 'zrank', 'zrem', 'zremrangebyrank', 'zremrangebyscore', 'zrevrange', 'zrevrangebyscore', 'zrevrank', 'zscore', 'zunionstore']
>>>4.测试实例：
(1).把文本数据导入到redis
--导入的数据格式
[root@njdyw ~]#more data.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
[root@njdyw ~]#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("data.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()注意：要严格控制python脚本中的空格
--执行脚本
[root@njdyw ~]# python2.7.3 imp_red.py
查看导入数据
[root@njdyw ~]#redis-cli redis 127.0.0.1:6379> keys * 1) "users_xiaochuan2018" 2) "users_coralshanshan" 3) "users_xiazai200901" 4) "users_daisypp" 5) "users_boiny" 6) "users_raininglxy" 7) "users_fennal" 8) "users_abc654468252" 9) "users_babylovebooks" 10) "users_xl200811" 11) "users_baby19881018" 12) "users_darksoul0929" 13) "users_pengcfwxh" 14) "users_alex126126" 15) "users_jiongjiongmao" 16) "users_sirenxing424" 17) "users_mengjie007" 18) "users_cxx0409" 19) "users_candly8509" 20) "users_licaijun007" 21) "users_ai3Min2" 22) "users_bokil" 23) "users_z370433835" 24) "users_yiling1007" 25) "users_simulategirl" 26) "users_fxh852" 27) "users_baoautumn" 28) "users_huangdaqiao" 29) "users_q1718334567" 30) "users_xldq_l" 31) "users_beibeilong012" 32) "users_hudaoyin" 33) "users_yoyomika" 34) "users_jacksbalu" 35) "users_wolys" 36) "users_kangte1" 37) "users_demonhaodh" 38) "users_ysdz8" 39) "users_leochenlei" 40) "users_llx6888" 41) "users_pengfeihuchao" redis 127.0.0.1:6379> redis 127.0.0.1:6379>hget users_pengfeihuchao email "294522652@qq.com" redis 127.0.0.1:6379> hget users_llx6888 email "linlixian200606@126.com"
上述就是小编为大家分享的如何在Python配置Redis连接了，如果刚好有类似的疑惑，不妨参照上述分析进行理解。如果想知道更多相关知识，欢迎关注创新互联行业资讯频道。
