How Redis implements the distributed cache function requires specific code examples
Abstract: Redis is a high-performance data caching and storage system that has distributed characteristics. Can support distributed cache function. This article will introduce how Redis implements distributed caching and provide specific code examples to help readers understand.
In the Redis cluster, data is automatically divided into multiple slots, and each slot is managed by a node. By computing the hash of a key, you can determine which slot it belongs to and thus find the node where it is stored. When a key needs to be accessed, the application sends the request to the corresponding node.
The specific code example is as follows:
// 引入Redis库 const Redis = require('ioredis'); // 创建Redis集群客户端 const cluster = new Redis.Cluster([{ host: 'node1.example.com', port: 6380 }, { host: 'node2.example.com', port: 6380 }, { host: 'node3.example.com', port: 6380 }]); // 设置缓存数据 cluster.set('key1', 'value1'); // 获取缓存数据 cluster.get('key1') .then(value => { console.log(value); }) .catch(error => { console.error(error); });
In the above code, we first introduced the ioredis library, which is the Node.js client of Redis. Then we created a Redis cluster client and specified the address and port number of the nodes in the cluster. We can then use this client to set and get cached data.
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