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！
# 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。
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
# 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
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 2s
spring.redis.cluster.nodes=redis-ss:6379
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。
感谢各位的阅读，以上就是“k8s如何部署redis集群”的内容了，经过本文的学习后，相信大家对k8s如何部署redis集群这一问题有了更深刻的体会，具体使用情况还需要大家实践验证。这里是亿速云，小编将为大家推送更多相关知识点的文章，欢迎关注！
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