Python uses a redispool Singleton Implementation Method

This article mainly introduces a single-instance implementation method for using redispool in Python, and analyzes the skills related to sharing the same connection pool using the Python operation redis module in combination with the instance form, for more information about how to use redis pool in Python, see the following example. We will share this with you for your reference. The details are as follows:

To adapt to the scenario where multiple apsaradb for redis instances share the same connection pool, you can achieve this by using the following Singleton method:

import redisclass RedisDBConfig:  HOST = '127.0.0.1'  PORT = 6379  DBID = 0def 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_statusclass 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')