引言
在现代的分布式系统中,使用消息队列是一种常见的方式来实现异步通信和任务处理。Redis 是一种流行的内存数据库,它的列表数据结构非常适合用作消息队列。本文将介绍如何使用 Python 和 aioredis 库来连接 Redis 数据库,并实现一个基于 Redis 的连接池和一个后进先出队列。
python
import aioredis
class RedisPool:
_instances = {}
def __new__(cls, redisURL):
if redisURL not in cls._instances:
cls._instances[redisURL] = super().__new__(cls)
cls._instances[redisURL]._pool = None
return cls._instances[redisURL]
else:
raise cls._instances[redisURL]
def __init__(self, redisURL):
self._pool = None
self.redisURL = redisURL
async def get_pool(self):
if self._pool is None:
self._pool = await aioredis.from_url(self.redisURL)
return self._pool
class RedisQueue:
def __init__(self, redisPool, queueName):
self._pool = redisPool
self._queueName = queueName
async def push(self, data):
pool = await self._pool.get_pool()
await pool.lpush(self._queueName, data)
async def pop(self):
pool = await self._pool.get_pool()
return await pool.lpop(self._queueName)
async def size(self):
pool = await self._pool.get_pool()
return await pool.llen(self._queueName)
async def main():
# 带密码的redis redis://:password@localhost:6379/0
redisPool = RedisPool('redis://:password@233.233.233.233:33333/0')
queue = RedisQueue(redisPool, 'testQueue')
for i in range(10):
print(f"push {i}")
await queue.push(str(i))
print(f"size {await queue.size()}")
for i in range(10):
print(await queue.pop())
print(f"size {await queue.size()}")
if __name__ == '__main__':
import asyncio
asyncio.run(main())