安装
创建命名空间：
kubectl create ns my-space
创建：
kubectl create -f https://www.kubebiz.com/raw/KubeBiz/redis/Cluster/all
如果你需要修改namespace，可以到 https://www.kubebiz.com/KubeBiz/redis 直接修改，下载新的yaml安装。
查看pod状态：
$ kubectl get pods -n my-space
...
redis-cluster-0 1/1 Running 0 69m
redis-cluster-1 1/1 Running 0 69m
redis-cluster-2 1/1 Running 0 69m
redis-cluster-3 1/1 Running 0 69m
redis-cluster-4 1/1 Running 0 69m
redis-cluster-5 1/1 Running 0 69m
等待所有pod的状态为Running。
创建集群
现在我们已经有了六个正在运行中的 Redis 实例， 接下来我们需要使用这些实例来创建集群。
kubectl exec -it redis-cluster-0 -n my-space redis-cli --cluster create --cluster-replicas 1 \
$(kubectl get pods -n my-space -l app=redis-cluster -o jsonpath='{range.items[*]}{.status.podIP}:6379 ' | sed "s/ :6379//g")
注意：现在的命名空间是
my-space，如果不同，请自行修改（有2个地方需要修改）。
>>> Performing hash slots allocation on 6 nodes...
Master[0] -> Slots 0 - 5460
Master[1] -> Slots 5461 - 10922
Master[2] -> Slots 10923 - 16383
Adding replica 172.23.62.194:6379 to 172.23.115.119:6379
Adding replica 172.23.151.243:6379 to 172.23.209.33:6379
Adding replica 172.23.14.224:6379 to 172.23.64.167:6379
M: ed05d9200f5740bd2c7f27e61d3eae9c40a7c1c0 172.23.115.119:6379
slots:[0-5460] (5461 slots) master
M: e5d7826180374fb6ea77e0c73e782584203a66b8 172.23.209.33:6379
slots:[5461-10922] (5462 slots) master
M: e9bef3975724463b8b9f1bdbfa10f2dca579eab8 172.23.64.167:6379
slots:[10923-16383] (5461 slots) master
S: f9e4bbd6e637ff6e6231a66c2800273224d6ff17 172.23.62.194:6379
replicates ed05d9200f5740bd2c7f27e61d3eae9c40a7c1c0
S: 5281452241fff0f9289d59a7a875d87290950367 172.23.151.243:6379
replicates e5d7826180374fb6ea77e0c73e782584203a66b8
S: 717cfbc6f6715ab3e1eaa268821da985604b542e 172.23.14.224:6379
replicates e9bef3975724463b8b9f1bdbfa10f2dca579eab8
Can I set the above configuration? (type 'yes' to accept): yes
>>> Nodes configuration updated
输入：yes
>>> Assign a different config epoch to each node
>>> Sending CLUSTER MEET messages to join the cluster
Waiting for the cluster to join
.......
>>> Performing Cluster Check (using node 172.23.115.119:6379)
M: ed05d9200f5740bd2c7f27e61d3eae9c40a7c1c0 172.23.115.119:6379
slots:[0-5460] (5461 slots) master
1 additional replica(s)
M: e5d7826180374fb6ea77e0c73e782584203a66b8 172.23.209.33:6379
slots:[5461-10922] (5462 slots) master
1 additional replica(s)
S: f9e4bbd6e637ff6e6231a66c2800273224d6ff17 172.23.62.194:6379
slots: (0 slots) slave
replicates ed05d9200f5740bd2c7f27e61d3eae9c40a7c1c0
S: 5281452241fff0f9289d59a7a875d87290950367 172.23.151.243:6379
slots: (0 slots) slave
replicates e5d7826180374fb6ea77e0c73e782584203a66b8
M: e9bef3975724463b8b9f1bdbfa10f2dca579eab8 172.23.64.167:6379
slots:[10923-16383] (5461 slots) master
1 additional replica(s)
S: 717cfbc6f6715ab3e1eaa268821da985604b542e 172.23.14.224:6379
slots: (0 slots) slave
replicates e9bef3975724463b8b9f1bdbfa10f2dca579eab8
[OK] All nodes agree about slots configuration.
输出以下，就是成功啦：
>>> Check for open slots...
>>> Check slots coverage...
[OK] All 16384 slots covered.
验证
kubectl exec -it redis-cluster-0 -n my-space -- redis-cli cluster nodes
输出集群信息：
e5d7826180374fb6ea77e0c73e782584203a66b8 172.23.209.33:6379@16379 master - 0 1695117923385 2 connected 5461-10922
f9e4bbd6e637ff6e6231a66c2800273224d6ff17 172.23.62.194:6379@16379 slave ed05d9200f5740bd2c7f27e61d3eae9c40a7c1c0 0 1695117924388 4 connected
5281452241fff0f9289d59a7a875d87290950367 172.23.151.243:6379@16379 slave e5d7826180374fb6ea77e0c73e782584203a66b8 0 1695117923000 5 connected
e9bef3975724463b8b9f1bdbfa10f2dca579eab8 172.23.64.167:6379@16379 master - 0 1695117925392 3 connected 10923-16383
717cfbc6f6715ab3e1eaa268821da985604b542e 172.23.14.224:6379@16379 slave e9bef3975724463b8b9f1bdbfa10f2dca579eab8 0 1695117923000 6 connected
ed05d9200f5740bd2c7f27e61d3eae9c40a7c1c0 172.23.115.119:6379@16379 myself,master - 0 1695117922000 1 connected 0-5460
写入，注意集群模式要加-c
kubectl exec -it redis-cluster-0 -n my-space -- redis-cli -c set k v
返回：”OK“
获取刚set的信息：
kubectl exec -it redis-cluster-0 -n my-space -- redis-cli -c get k
返回："v"
安装完成，可以使用啦
Ref
https://www.kubebiz.com/KubeBiz/redis?version=Cluster
https://github.com/rustudorcalin/deploying-redis-cluster
