这篇文章主要讲解了“k8s如何部署redis集群”，文中的讲解内容简单清晰，易于学习与理解，下面请大家跟着小编的思路慢慢深入，一起来研究和学习“k8s如何部署redis集群”吧！
redis集群搭建
1.1使用redis-cli创建集群
# 查看redis的pod对应的ip
kubectl get pod -n jxbp -o wide
>NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
redis-0 1/1 Running 0 18h 10.168.235.196 k8s-master <none> <none>
redis-1 1/1 Running 0 18h 10.168.235.225 k8s-master <none> <none>
redis-2 1/1 Running 0 18h 10.168.235.239 k8s-master <none> <none>
redis-3 1/1 Running 0 18h 10.168.235.198 k8s-master <none> <none>
redis-4 1/1 Running 0 18h 10.168.235.222 k8s-master <none> <none>
redis-5 1/1 Running 0 18h 10.168.235.238 k8s-master <none> <none>
# 进入到redis-0容器
kubectl exec -it redis-0 /bin/bash -n jxbp
# 创建master节点（redis-0、redis-2、redis-4）
redis-cli --cluster create 10.168.235.196:6379 10.168.235.239:6379 10.168.235.222:6379 -a jxbd
> Warning: Using a password with '-a' or '-u' option on the command line interface may not be safe.
>>> Performing hash slots allocation on 3 nodes...
Master[0] -> Slots 0 - 5460
Master[1] -> Slots 5461 - 10922
Master[2] -> Slots 10923 - 16383
M: bcae187137a9b30d7dab8fe0d8ed4a46c6e39638 10.168.235.196:6379
slots:[0-5460] (5461 slots) master
M: 4367e4a45e557406a3112e7b79f82a44d4ce485e 10.168.235.239:6379
slots:[5461-10922] (5462 slots) master
M: a2cec159bbe2efa11a8f60287b90927bcb214729 10.168.235.222:6379
slots:[10923-16383] (5461 slots) master
Can I set the above configuration? (type 'yes' to accept): yes
>>> Nodes configuration updated
>>> 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 10.168.235.196:6379)
M: bcae187137a9b30d7dab8fe0d8ed4a46c6e39638 10.168.235.196:6379
slots:[0-5460] (5461 slots) master
M: a2cec159bbe2efa11a8f60287b90927bcb214729 10.168.235.222:6379
slots:[10923-16383] (5461 slots) master
M: 4367e4a45e557406a3112e7b79f82a44d4ce485e 10.168.235.239:6379
slots:[5461-10922] (5462 slots) master
[OK] All nodes agree about slots configuration.
>>> Check for open slots...
>>> Check slots coverage...
[OK] All 16384 slots covered.注意上面的master节点，会生成对应节点id：
bcae187137a9b30d7dab8fe0d8ed4a46c6e39638、
a2cec159bbe2efa11a8f60287b90927bcb214729、
4367e4a45e557406a3112e7b79f82a44d4ce485e，用于创建slave节点。
# 为每个master节点添加slave节点
# 10.168.235.196:6379的位置可以是任意一个master节点,一般我们用第一个master节点即redis-0的ip地址
# --cluster-master-id参数指定该salve节点对应的master节点的id
# -a参数指定redis的密码
# redis-0的master节点，添加redis-1为slave节点
redis-cli --cluster add-node 10.168.235.225:6379 10.168.235.196:6379 --cluster-slave --cluster-master-id bcae187137a9b30d7dab8fe0d8ed4a46c6e39638 -a jxbd
# redis-2的master节点，添加redis-3为slave节点
redis-cli --cluster add-node 10.168.235.198:6379 10.168.235.239:6379 --cluster-slave --cluster-master-id a2cec159bbe2efa11a8f60287b90927bcb214729 -a jxbd
# redis-4的master节点，添加redis-5为slave节点
redis-cli --cluster add-node 10.168.233.238:6379 10.168.235.222:6379 --cluster-slave --cluster-master-id 4367e4a45e557406a3112e7b79f82a44d4ce485e -a jxbd显示以下信息，即为添加成功：
[OK] All nodes agree about slots configuration.
[OK] All 16384 slots covered.
[OK] New node added correctly.
坑：
一开始是想用headless的域名创建redis集群的，这样节点重启后就不需要更新ip，但是redis不支持使用域名，所以只能绕了一圈又回到固定ip的方法，和容器环境很不协调。
1.2redis集群状态验证（可选）
-
cluster info
# 进入到redis客户端，集群需要带上-c，有密码需要带上-a
redis-cli -c -a jxbd
# 查看redis集群信息
127.0.0.1:6379> cluster info
cluster_state:ok
cluster_slots_assigned:16384
cluster_slots_ok:16384
cluster_slots_pfail:0
cluster_slots_fail:0
cluster_known_nodes:6
cluster_size:3
cluster_current_epoch:3
cluster_my_epoch:1
cluster_stats_messages_ping_sent:7996
cluster_stats_messages_pong_sent:7713
cluster_stats_messages_sent:15709
cluster_stats_messages_ping_received:7710
cluster_stats_messages_pong_received:7996
cluster_stats_messages_meet_received:3
cluster_stats_messages_received:15709注意：
现在进入集群中的任意一个Pod中都可以访问Redis服务，前面我们创建了一个headless类型的Service，kubernetes集群会为该服务分配一个DNS记录，格式为:
$(pod.name).
$(headless server.name).
${namespace}.
svc.cluster.local，每次访问该服务名时，将会直接进入到redis的节点上。
svc.cluster.local可省略。 例如：
redis-cli -c -a jxbd -h redis-0.redis-hs.jxbp -p 6379
-
cluster nodes
# 查看redis集群状态
127.0.0.1:6379> cluster nodes
70220b45e978d0cb3df19b07e55d883b49f4127d 10.168.235.238:6379@16379 slave 4367e4a45e557406a3112e7b79f82a44d4ce485e 0 1670306292673 2 connected
122b89a51a9bf005e3d47b6d721c65621d2e9a75 10.168.235.225:6379@16379 slave bcae187137a9b30d7dab8fe0d8ed4a46c6e39638 0 1670306290558 1 connected
c2afcb9e83038a47d04bf328ead8033788548234 10.168.235.198:6379@16379 slave a2cec159bbe2efa11a8f60287b90927bcb214729 0 1670306291162 3 connected
4367e4a45e557406a3112e7b79f82a44d4ce485e 10.168.235.239:6379@16379 master - 0 1670306291561 2 connected 5461-10922
bcae187137a9b30d7dab8fe0d8ed4a46c6e39638 10.168.235.196:6379@16379 myself,master - 0 1670306291000 1 connected 0-5460
a2cec159bbe2efa11a8f60287b90927bcb214729 10.168.235.222:6379@16379 master - 0 1670306292166 3 connected 10923-16383可以看到3个master，3个slave节点，都是
connected状态。
-
get，set验证
# 会找到对应的槽进行set操作，去到10.168.235.222节点
set name1 llsydn
-> Redirected to slot [12933] located at 10.168.235.222:6379
OK
# set name1成功
10.168.235.222:6379> set name1 llsydn
OK
# get name1成功
10.168.235.222:6379> get name1
"llsydn"master节点进行set操作，slave节点复制。主从复制
1.3重启pod,验证集群（可选）
# redis-1未重启之前
10.168.235.239:6379> cluster nodes
4367e4a45e557406a3112e7b79f82a44d4ce485e 10.168.235.239:6379@16379 myself,master - 0 1670307319000 2 connected 5461-10922
bcae187137a9b30d7dab8fe0d8ed4a46c6e39638 10.168.235.196:6379@16379 master - 0 1670307319575 1 connected 0-5460
70220b45e978d0cb3df19b07e55d883b49f4127d 10.168.235.238:6379@16379 slave 4367e4a45e557406a3112e7b79f82a44d4ce485e 0 1670307318000 2 connected
122b89a51a9bf005e3d47b6d721c65621d2e9a75 10.168.235.225:6379@16379 slave bcae187137a9b30d7dab8fe0d8ed4a46c6e39638 0 1670307319781 1 connected
c2afcb9e83038a47d04bf328ead8033788548234 10.168.235.198:6379@16379 slave a2cec159bbe2efa11a8f60287b90927bcb214729 0 1670307319071 3 connected
a2cec159bbe2efa11a8f60287b90927bcb214729 10.168.235.222:6379@16379 master - 0 1670307318000 3 connected 10923-16383
# 重启redis-1
kubectl delete pod redis-1 -n jxbp
pod "redis-1" deleted
# redis-1重启之后
10.168.235.239:6379> cluster nodes
4367e4a45e557406a3112e7b79f82a44d4ce485e 10.168.235.239:6379@16379 myself,master - 0 1670307349000 2 connected 5461-10922
bcae187137a9b30d7dab8fe0d8ed4a46c6e39638 10.168.235.196:6379@16379 master - 0 1670307349988 1 connected 0-5460
70220b45e978d0cb3df19b07e55d883b49f4127d 10.168.235.238:6379@16379 slave 4367e4a45e557406a3112e7b79f82a44d4ce485e 0 1670307349000 2 connected
122b89a51a9bf005e3d47b6d721c65621d2e9a75 10.168.235.232:6379@16379 slave bcae187137a9b30d7dab8fe0d8ed4a46c6e39638 0 1670307350089 1 connected
c2afcb9e83038a47d04bf328ead8033788548234 10.168.235.198:6379@16379 slave a2cec159bbe2efa11a8f60287b90927bcb214729 0 1670307350000 3 connected
a2cec159bbe2efa11a8f60287b90927bcb214729 10.168.235.222:6379@16379 master - 0 1670307348000 3 connected 10923-16383可以看到重启后的，redis-1节点，虽然ip变了，但是redis集群，还是可以识别到新的ip，集群还是正常的。
10.168.235.225 ---> 10.168.235.232
1.4创建Service服务
前面我们创建了用于实现StatefulSet的Headless Service，但该Service没有Cluster Ip，因此不能用于外界访问。所以，我们还需要创建一个Service，专用于为Redis集群提供访问和负载均衡。
这里可以使用
ClusterIP，
NodePort。这里，我使用的是
NodePort。
vi redis-ss.yaml
---
apiVersion: v1
kind: Service
metadata:
labels:
k8s.kuboard.cn/layer: db
k8s.kuboard.cn/name: redis
name: redis-ss
namespace: jxbp
spec:
ports:
- name: imdgss
port: 6379
protocol: TCP
targetPort: 6379
nodePort: 6379
selector:
k8s.kuboard.cn/layer: db
k8s.kuboard.cn/name: redis
type: NodePort创建名称为：
redis-ss的服务。
在K8S集群中暴露6379端口，并且会对
labels name为
k8s.kuboard.cn/name: redis的pod进行负载均衡。
然后在K8S集群中，就可以通过
redis-ss:6379，对redis集群进行访问。
kubectl get service -n jxbp
>NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
redis-hs ClusterIP None <none> 6379/TCP 76m
redis-ss NodePort 10.96.54.201 <none> 6379:6379/TCP 2s1.5 Springboot项目配置
spring.redis.cluster.nodes=redis-ss:63791.6相关疑问分析
至此，大家可能会疑惑，那为什么没有使用稳定的标志，Redis Pod也能正常进行故障转移呢？这涉及了Redis本身的机制。因为，Redis集群中每个节点都有自己的NodeId（保存在自动生成的nodes.conf中），并且该NodeId不会随着IP的变化和变化，这其实也是一种固定的网络标志。也就是说，就算某个Redis Pod重启了，该Pod依然会加载保存的NodeId来维持自己的身份。我们可以在NFS上查看redis-0的nodes.conf文件：
vi /opt/nfs/pv1/nodes.conf
> f6d4993467a4ab1f3fa806f1122edd39f6466394 10.168.235.228:6379@16379 slave ebed24c8fca9ebc16ceaaee0c2bc2e3e09f7b2c0 0 1670316449064 2 connected
ebed24c8fca9ebc16ceaaee0c2bc2e3e09f7b2c0 10.168.235.240:6379@16379 myself,master - 0 1670316450000 2 connected 5461-10922
955e1236652c2fcb11f47c20a43149dcd1f1f92b 10.168.235.255:6379@16379 master - 0 1670316449565 1 connected 0-5460
574c40485bb8f6cfaf8618d482efb06f3e323f88 10.168.235.224:6379@16379 slave 955e1236652c2fcb11f47c20a43149dcd1f1f92b 0 1670316449000 1 connected
91bd3dc859ce51f1ed0e7cbd07b13786297bd05b 10.168.235.237:6379@16379 slave fe0b74c5e461aa22d4d782f891b78ddc4306eed4 0 1670316450672 3 connected
fe0b74c5e461aa22d4d782f891b78ddc4306eed4 10.168.235.253:6379@16379 master - 0 1670316450068 3 connected 10923-16383
vars currentEpoch 3 lastVoteEpoch 0如上，第一列为NodeId，稳定不变；第二列为IP和端口信息，可能会改变。
这里，我们介绍NodeId的两种使用场景：
当某个Slave Pod断线重连后IP改变，但是Master发现其NodeId依旧， 就认为该Slave还是之前的Slave。
当某个Master Pod下线后，集群在其Slave中选举重新的Master。待旧Master上线后，集群发现其NodeId依旧，会让旧Master变成新Master的slave。