使用Redis代理构建高效中间件架构（中间件架构redis代理）

As the most popular key-value store, Redis can not only store data in large quantities, but also provide high-performance data acquisition, which is widely used in the construction of middleware.

To build a high-performance middleware architecture with Redis, you can combine related technology components such as RedLock and RedRpc. RedLock is a distributed lock mechanism based on Redis. It mnly uses a single master-slave relationship in the same way. By defining a specific timeout period, it implements distributed locks and shares resources. At the same time, RedRpc is a technology used to manage RPC services based on Redis. It can quickly register services, providers and load balance policies, and quickly build RPC services.

For the specific implementation, you can use the following code:

First, define the related avlable resources:

resources = { 
  Resource_A:{ 
  ... 
  }, 
  Resource_B:{ 
  ... 
  }, 
  Resource_C:{ 
  ... 
  }  
}

Second, use Redis distributed locks to protect resources:

clients = [ 
  redis.Redis(host='127.0.0.1', port=6379, db=0), 
  redis.Redis(host='127.0.0.1', port=6380, db=0), 
  redis.Redis(host='127.0.0.1', port=6381, db=0) 
] 
rlock = redlock.RedLock(clients, ** resources)

Third, use RedRpc to build RPC framework:

redRPC = RedRpc(rlock, [ 
  redis.Redis(host='127.0.0.1', port=6379, db=0), 
 ]) 
 
# Register service 
redRPC.register_service('test_service') 
 
# Register one or more providers 
redRPC.register_provider('test_provider', count=3) 
 
# Register load balance policy 
redRPC.register_lb_policy('RoundRobin')

Finally, use the RPC framework to get resources:

# Get instance of test service 
service = redRPC.get_instance('test_service') 

# Call api on service 
r = service.call_api(args) 

Through the combination of Redis distributed locks and RedRpc, a high-performance middleware framework can be established. Not only can resources of the system be protected, but also other related services based on RPC can be managed, which greatly improves the overall efficiency of the middleware.