冲破瓶颈增大Redis连接池容量(redis 连接数太小)
If you’re familiar developing applications with a Java platform like Spring that makes use of the Redis database, you know that the connection pool size can be the bottleneck for performance. The default number of connections that can be made to the Redis server is usually too small for larger and more complex applications, resulting in degraded performance. If your application is experiencing performance issues, like slow page loads or connection timeouts from the database, a simple solution might be increasing the size of your Redis connection pool.
The connection pool is actually managed by Spring, so to increase the pool size we need to edit the configuration file in Spring. First, open the Spring configuration file and locate the ‘redisConnectionFactory’ authoirity. This will look something like this:
p:host-name="${redis.host.name}" p:port="${redis.port}"
p:password="${redis.password}" p:timeout="${redis.timeout}" />
The connection factory should be modified to include a new namespace, ‘maxActive’, which defines the maximum number of connections to be opened at once. This can be done by adding the following line to the connection factory:
`p:maxActive=”20″`
Generally speaking, setting the maxActive parameter between 20-30 should suffice. Of course, your settings may vary depending on the size and complexity of your application, as well as the resources that your Redis server has avlable.
Once the parameter has been added, the connection pool must be refresed. Usually this is done by restarting the application. This will ensure that the parameter is taken into account and that your application recognizes the increase in pool size.
It is usually a good idea to log the number of connections made to the Redis server over some period of time. This is done with the Redis MONITOR command. To enable monitoring, just open the Redis CLI and execute the following command:
`MONITOR`
This will start outputting all requests made to the Redis server. Logging these requests will give you visibility into how your application is using the Redis database and allow you to diagnose possible causes of connection timeouts and slowdowns.
Increase the size of your Redis connection pool to help resolve connection timeout and performance issues caused by a lack of database resources. Use the ‘maxActive’ parameter to define the maximum number of connections that can be made to the server, and use the Redis MONITOR command to keep an eye on how the database is being used. Taking the steps outlined in this article should ensure that your application runs smoothly and efficiently.
相关文章