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Move the hash slots served by A to B and C. Similarly if I want to remove node A from the cluster I can just I want to add a new node D, I need to move some hash slot from nodes A, B, C This allows to add and remove nodes in the cluster easily.
Node C contains hash slots from 11001 to 16383. Node B contains hash slots from 5501 to 11000. Node A contains hash slots from 0 to 5500. So for example you may have a cluster with 3 nodes, where: Slot of a given key, we simply take the CRC16 of the key moduloĮvery node in a Redis Cluster is responsible for a subset of the hash slots, There are 16384 hash slots in Redis Cluster, and to compute what is the hash Where every key is conceptually part of what we call a hash slot. Redis Cluster does not use consistent hashing, but a different form of sharding In the Docker documentation for more information. In order to make Docker compatible with Redis Cluster you need to use This is useful in order to run multipleĬontainers using the same ports, at the same time, in the same server. *Redis Cluster and DockerĬurrently Redis Cluster does not support NATted environments and in generalĮnvironments where IP addresses or TCP ports are remapped.ĭocker uses a technique called port mapping: programs running inside DockerĬontainers may be exposed with a different port compared to the one the The cluster bus uses a different, binary protocol, for node to node dataĮxchange, which is more suited to exchange information between nodes using If you don't open both TCP ports, your cluster will not work as expected. The cluster bus port must be reachable from all the other cluster nodes. The normal client communication port (usually 6379) used to communicate with clients to be open to all the clients that need to reach the cluster, plus all the other cluster nodes (that use the client port for keys migrations).Note that for a Redis Cluster to work properly you need, for each node: Open both ports in your firewall, otherwise Redis cluster nodes will be Port, but always with the normal Redis command port, however make sure you Clients should never try to communicate with the cluster bus Nodes for failure detection, configuration update, failover authorizationĪnd so forth. This second high port is used for the Cluster bus, that is a node-to-nodeĬommunication channel using a binary protocol. The cluster bus port will be derived by adding 10000 to the data port, 16379 in this example, or by overiding it with the cluster-port config.
TCP port used to serve clients, for example 6379, plus the second port namedĬluster bus port.
The ability to continue operations when a subset of the nodes are experiencing failures or are unable to communicate with the rest of the cluster.Įvery Redis Cluster node requires two TCP connections open. The ability to automatically split your dataset among multiple nodes. So in practical terms, what do you get with Redis Cluster? To operate in the event of larger failures (for example when the majority of Some nodes fail or are not able to communicate. That is in practical terms the ability to continue the operations when Redis Cluster also provides some degree of availability during partitions, Redis Cluster provides a way to run a Redis installation where data isĪutomatically sharded across multiple Redis nodes. Play with Redis Cluster some time, and only later read the specification. However it is a good idea to start from this document, More formal specification is a suggested reading, even if not 
If you plan to run a serious Redis Cluster deployment, the Note this tutorial requires Redis version 3.0 or higher. Of the final user, stated in a simple to understand way. However this tutorial tries to provide information about the availabilityĪnd consistency characteristics of Redis Cluster from the point of view How the system behaves from the point of view of the user. The Redis Cluster specification but just describing Going into the details that are covered in
Instructions about how to setup a cluster, test, and operate it, without This document is a gentle introduction to Redis Cluster, that does not useĭifficult to understand concepts of distributed systems.
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