从0到1如何单机搭建Redis集群(单机搭建redis集群)

2023-05-11 23:36:35 集群 搭建 单机

If you want to build a Redis cluster on one machine, you need to first understand the Redis technology. Redis is a commonly used open source, non-relational database, popular for its convenient high-speed operations and rich value data types. It is widely used in a variety of applications, from basic caching to social networking data analysis and other use scenarios.

To build a Redis cluster on a single machine, you need to first install the Redis software. Here we use Redis version 5.0.7 as an example. After downloading and decompressing the installation package, you can first use the Redis-server command to start a single node:

redis-server --protected-mode no

Once the single node is started, you can now configure another node to replicate the first node. To do this, you need to run a second redis-server command, but this time with additional replication parameters:

redis-server --protected-mode no --slaveof   

This ensures that the second node is now a replica of the first node, which is the basis for setting up a Redis cluster.

Once you have two nodes running, you can now connect them together as a Redis cluster. To do this, you need to use the redis-trib command. First, generate a list of all the nodes in the cluster:

redis-trib create --replicas 1    

This command will create a cluster with two nodes, each with its own master and single replica. At this point, you have a Redis cluster up and running on a single machine.

In this tutorial, we have walked you through how to build a Redis cluster on a single machine. Of course, in the real world, it’s more common to distribute several nodes across different machines and create a larger, more robust cluster. Regardless, whether you’re creating a single-node Redis cluster on one machine or a larger distributed cluster across multiple machines, the steps described here are the same. If you know how to build Redis clusters on a single machine, you’re on your way to building powerful, distributed systems that can be scaled with ease.

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