The example of this article describes a singleton implementation method of using redis pool in Python. Share it with everyone for your reference, the details are as follows:
In order to adapt to the scenario where multiple redis instances share the same connection pool, it can be implemented similar to the following singleton method:
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')
For more related articles introducing the singleton implementation of Python using redis pool, please pay attention to the PHP Chinese website!