为适应多个redis实例共享同一个连接池的场景,可以类似于以下单例方式实现:
import redis
class RedisDBConfig:
HOST = '127.0.0.1'
PORT = 6379
DBID = 0
def operator_status(func):
'''get operatoration status
'''
def gen_status(*args, **kwargs):
error, result = None, None
try:
result = func(*args, **kwargs)
except Exception as e:
error = str(e)
return {'result': result, 'error': error}
return gen_status
class RedisCache(object):
def __init__(self):
if not hasattr(RedisCache, 'pool'):
RedisCache.create_pool()
self._connection = redis.Redis(connection_pool = RedisCache.pool)
@staticmethod
def create_pool():
RedisCache.pool = redis.ConnectionPool(
host = RedisDBConfig.HOST,
port = RedisDBConfig.PORT,
db = RedisDBConfig.DBID)
@operator_status
def set_data(self, key, value):
'''set data with (key, value)
'''
return self._connection.set(key, value)
@operator_status
def get_data(self, key):
'''get data by key
'''
return self._connection.get(key)
@operator_status
def del_data(self, key):
'''delete cache by key
'''
return self._connection.delete(key)
if __name__ == '__main__':
print RedisCache().set_data('Testkey', "Simple Test")
print RedisCache().get_data('Testkey')
print RedisCache().del_data('Testkey')
print RedisCache().get_data('Testkey')

本文介绍了一种使用Python实现的Redis连接池单例模式,该模式允许多个Redis实例共享同一连接池,从而提高资源利用效率。通过定义静态配置类`RedisDBConfig`设置Redis的基本参数,并创建`RedisCache`类来管理连接池,实现了如设置、获取和删除缓存等基本操作。
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