k8s部署redis集群搭建过程示例详解（k8sdocker集群搭建）学会了吗

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目录写在前面一、redis集群搭建1.1使用redis-cli创建集群1.2redis集群状态验证（可选）1.3重启pod,验证集群（可选）1.4创建Service服务1.5 Springboot项目配置1.6相关疑问分析

在上一篇文章中，我们已经做到了已经创建好6个redis副本了。

具体的详情，可以查看这里：k8s部署redis集群(一)

那么接下来，我们就继续实现redis集群的搭建过程。

# 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：、、，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:…，每次访问该服务名时，将会直接进入到redis的节点上。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，。这里，我使用的是。

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：的服务。

在K8S集群中暴露6379端口，并且会对为的pod进行负载均衡。

然后在K8S集群中，就可以通过，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。

对于这两种场景，大家有兴趣的话还可以自行测试，注意要观察Redis的日志。

redis这种有状态的应用到底应不应该使用k8s部署，还是使用外部服务器部署redis集群？

以上就是k8s部署redis集群搭建过程示例详解的详细内容，更多关于k8s部署redis集群的资料请关注脚本之家其它相关文章！

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