一、Redis 介绍
- Redis代表REmote DIctionary Server是一种开源的内存中数据存储,通常用作数据库,缓存或消息代理。它可以存储和操作高级数据类型,例如列表,地图,集合和排序集合。
- 由于Redis接受多种格式的密钥,因此可以在服务器上执行操作,从而减少了客户端的工作量。
- 它仅将磁盘用于持久性,而将数据完全保存在内存中。
- Redis是一种流行的数据存储解决方案,并被GitHub,Pinterest,Snapchat,Twitter,StackOverflow,Flickr等技术巨头所使用。
二、为什么要用Redis
- 它的速度非常快。它是用ANSI C编写的,并且可以在POSIX系统上运行,例如Linux,Mac OS X和Solaris。
- Redis通常被排名为最流行的键/值数据库和最流行的与容器一起使用的NoSQL数据库。
- 其缓存解决方案减少了对云数据库后端的调用次数。
- 应用程序可以通过其客户端API库对其进行访问。
- 所有流行的编程语言都支持Redis。
- 它是开源且稳定的。
三、什么是Redis Cluster集群
- Redis Cluster是一组Redis实例,旨在通过对数据库进行分区来扩展数据库,从而使其更具弹性。
- 群集中的每个成员(无论是主副本还是辅助副本)都管理哈希槽的子集。如果主机无法访问,则其从机将升级为主机。在由三个主节点组成的最小Redis群集中,每个主节点都有一个从节点(以实现最小的故障转移),每个主节点都分配有一个介于0到16,383之间的哈希槽范围。节点A包含从0到5000的哈希槽,节点B从5001到10000,节点C从10001到16383。
- 群集内部的通信是通过内部总线进行的,使用协议传播有关群集的信息或发现新节点。
四、在Kubernetes中部署Redis Cluster集群过程记录
在Kubernetes中部署Redis集群面临挑战,因为每个Redis实例都依赖于一个配置文件,该文件可以跟踪其他集群实例及其角色。为此,我们需要结合使用StatefulSets控制器和PersistentVolumes持久化存储。
StatefulSet的设计原理模型:
- 拓扑状态:
应用的多个实例之间不是完全对等的关系,这个应用实例的启动必须按照某些顺序启动,比如应用的主节点 A 要先于从节点 B 启动。而如果你把 A 和 B 两个Pod删除掉,他们再次被创建出来是也必须严格按照这个顺序才行,并且,新创建出来的Pod,必须和原来的Pod的网络标识一样,这样原先的访问者才能使用同样的方法,访问到这个新的Pod
- 存储状态:
应用的多个实例分别绑定了不同的存储数据.对于这些应用实例来说,Pod A第一次读取到的数据,和隔了十分钟之后再次读取到的数据,应该是同一份,哪怕在此期间Pod A被重新创建过.一个数据库应用的多个存储实例。
存储卷
了解statefulset状态后,应该知道要为数据准备一个存储卷了,创建方式有静态方式和动态方式,静态方式就是手动创建PV、PVC,然后POD进行进行调用即可。这里使用动态NFS作为挂载卷,需要部署NFS动态StorageClass
1、使用NFS配置StatefulSet的动态持久化存储
1)在NFS服务器端(172.16.60.238)通过nfs创建Redis Cluster集群的共享目录
[root@k8s-harbor01 ~]# mkdir -p /data/storage/k8s/redis
2)创建nfs的rbac
[root@k8s-master01 ~]# mkdir -p /opt/k8s/k8s_project/redis [root@k8s-master01 ~]# cd /opt/k8s/k8s_project/redis [root@k8s-master01 redis]# vim nfs-rbac.yaml --- apiVersion: v1 kind: ServiceAccount metadata: name: nfs-provisioner namespace: wiseco --- kind: ClusterRole apiVersion: rbac.authorization.k8s.io/v1 metadata: name: nfs-provisioner-runner namespace: wiseco rules: - apiGroups: [""] resources: ["persistentvolumes"] verbs: ["get", "list", "watch", "create", "delete"] - apiGroups: [""] resources: ["persistentvolumeclaims"] verbs: ["get", "list", "watch", "update"] - apiGroups: ["storage.k8s.io"] resources: ["storageclasses"] verbs: ["get", "list", "watch"] - apiGroups: [""] resources: ["events"] verbs: ["watch", "create", "update", "patch"] - apiGroups: [""] resources: ["services", "endpoints"] verbs: ["get","create","list", "watch","update"] - apiGroups: ["extensions"] resources: ["podsecuritypolicies"] resourceNames: ["nfs-provisioner"] verbs: ["use"] --- kind: ClusterRoleBinding apiVersion: rbac.authorization.k8s.io/v1 metadata: name: run-nfs-provisioner subjects: - kind: ServiceAccount name: nfs-provisioner namespace: wiseco roleRef: kind: ClusterRole name: nfs-provisioner-runner apiGroup: rbac.authorization.k8s.io
创建并查看
[root@k8s-master01 redis]# kubectl apply -f nfs-rbac.yaml serviceaccount/nfs-provisioner created clusterrole.rbac.authorization.k8s.io/nfs-provisioner-runner created clusterrolebinding.rbac.authorization.k8s.io/run-nfs-provisioner created [root@k8s-master01 redis]# kubectl get sa -n wiseco|grep nfs nfs-provisioner 1 24s [root@k8s-master01 redis]# kubectl get clusterrole -n wiseco|grep nfs nfs-provisioner-runner 2021-02-04T02:21:11Z [root@k8s-master01 redis]# kubectl get clusterrolebinding -n wiseco|grep nfs run-nfs-provisioner ClusterRole/nfs-provisioner-runner 34s
3)创建redis cluster集群的storageclass
[root@k8s-master01 redis]# ll total 4 -rw-r--r-- 1 root root 1216 Feb 4 10:20 nfs-rbac.yaml [root@k8s-master01 redis]# vim redis-nfs-class.yaml apiVersion: storage.k8s.io/v1beta1 kind: StorageClass metadata: name: redis-nfs-storage namespace: wiseco provisioner: redis/nfs reclaimPolicy: Retain
创建并查看
[root@k8s-master01 redis]# kubectl apply -f redis-nfs-class.yaml storageclass.storage.k8s.io/redis-nfs-storage created [root@k8s-master01 redis]# kubectl get sc -n wiseco NAME PROVISIONER RECLAIMPOLICY VOLUMEBINDINGMODE ALLOWVOLUMEEXPANSION AGE redis-nfs-storage redis/nfs Retain Immediate false
4)创建redis cluster集群的nfs-client-provisioner
[root@k8s-master01 redis]# ll total 8 -rw-r--r-- 1 root root 1216 Feb 4 10:20 nfs-rbac.yaml -rw-r--r-- 1 root root 155 Feb 4 10:24 redis-nfs-class.yaml [root@k8s-master01 redis]# vim redis-nfs.yml apiVersion: apps/v1 kind: Deployment metadata: name: redis-nfs-client-provisioner namespace: wiseco spec: replicas: 1 selector: matchLabels: app: redis-nfs-client-provisioner strategy: type: Recreate template: metadata: labels: app: redis-nfs-client-provisioner spec: serviceAccount: nfs-provisioner containers: - name: redis-nfs-client-provisioner image: registry.cn-hangzhou.aliyuncs.com/open-ali/nfs-client-provisioner imagePullPolicy: IfNotPresent volumeMounts: - name: nfs-client-root mountPath: /persistentvolumes env: - name: PROVISIONER_NAME value: redis/nfs - name: NFS_SERVER value: 172.16.60.238 - name: NFS_PATH value: /data/storage/k8s/redis volumes: - name: nfs-client-root nfs: server: 172.16.60.238 path: /data/storage/k8s/redis
创建并查看
[root@k8s-master01 redis]# kubectl apply -f redis-nfs.yml deployment.apps/redis-nfs-client-provisioner created [root@k8s-master01 redis]# kubectl get pods -n wiseco|grep nfs redis-nfs-client-provisioner-58b46549dd-h87gg 1/1 Running 0 40s
2、部署Redis Cluster集群
本案例部署采用的namespace命名空间是wiseco
1)准备image镜像
redis-trib.rb工具可以去redis源码中拷贝一个到当前目录,然后构建镜像。
[root@k8s-master01 redis]# pwd /opt/k8s/k8s_project/redis [root@k8s-master01 redis]# ll total 12 -rw-r--r-- 1 root root 1216 Feb 4 15:31 nfs-rbac.yaml -rw-r--r-- 1 root root 155 Feb 4 15:32 redis-nfs-class.yaml -rw-r--r-- 1 root root 1006 Feb 4 15:32 redis-nfs.yml [root@k8s-master01 redis]# mkdir image [root@k8s-master01 redis]# cd image [root@k8s-master01 image]# ll total 64 -rw-r--r-- 1 root root 191 Feb 4 18:14 Dockerfile -rwxr-xr-x 1 root root 60578 Feb 4 15:49 redis-trib.rb [root@k8s-master01 image]# cat Dockerfile FROM redis:4.0.11 RUN apt-get update -y RUN apt-get install -y ruby rubygems RUN apt-get clean all RUN gem install redis RUN apt-get install dnsutils -y COPY redis-trib.rb /usr/local/bin/
创建镜像并上传到Harbor仓库
[root@k8s-master01 image]# docker build -t 172.16.60.238/wiseco/redis:4.0.11 . [root@k8s-master01 image]# docker push 172.16.60.238/wiseco/redis:4.0.11
2)创建configmap
redis配置文件使用configmap方式进行挂载,如果将配置封装到docker image中的话,俺么每次修改配置就需要重新docker build。个人觉得比较麻烦,所以使用configmap方式挂载配置。
[root@k8s-master01 redis]# pwd /opt/k8s/k8s_project/redis [root@k8s-master01 redis]# ll total 12 drwxr-xr-x 2 root root 45 Feb 4 18:14 image -rw-r--r-- 1 root root 1216 Feb 4 15:31 nfs-rbac.yaml -rw-r--r-- 1 root root 155 Feb 4 15:32 redis-nfs-class.yaml -rw-r--r-- 1 root root 1006 Feb 4 15:32 redis-nfs.yml [root@k8s-master01 redis]# mkdir conf [root@k8s-master01 redis]# cd conf/ [root@k8s-master01 conf]# vim redis-configmap.yaml apiVersion: v1 kind: ConfigMap metadata: name: redis-cluster namespace: wiseco data: fix-ip.sh: | #!/bin/sh CLUSTER_CONFIG="/data/nodes.conf" if [ -f ${CLUSTER_CONFIG} ]; then if [ -z "${POD_IP}" ]; then echo "Unable to determine Pod IP address!" exit 1 fi echo "Updating my IP to ${POD_IP} in ${CLUSTER_CONFIG}" sed -i.bak -e '/myself/ s/[0-9]{1,3}.[0-9]{1,3}.[0-9]{1,3}.[0-9]{1,3}/'${POD_IP}'/' ${CLUSTER_CONFIG} fi exec "$@" redis.conf: | cluster-enabled yes cluster-config-file /data/nodes.conf cluster-node-timeout 10000 protected-mode no daemonize no pidfile /var/run/redis.pid port 6379 tcp-backlog 511 bind 0.0.0.0 timeout 3600 tcp-keepalive 1 loglevel verbose logfile /data/redis.log databases 16 save 900 1 save 300 10 save 60 10000 stop-writes-on-bgsave-error yes rdbcompression yes rdbchecksum yes dbfilename dump.rdb dir /data #requirepass yl123456 appendonly yes appendfilename "appendonly.aof" appendfsync everysec no-appendfsync-on-rewrite no auto-aof-rewrite-percentage 100 auto-aof-rewrite-min-size 64mb lua-time-limit 20000 slowlog-log-slower-than 10000 slowlog-max-len 128 #rename-command FLUSHALL "" latency-monitor-threshold 0 notify-keyspace-events "" hash-max-ziplist-entries 512 hash-max-ziplist-value 64 list-max-ziplist-entries 512 list-max-ziplist-value 64 set-max-intset-entries 512 zset-max-ziplist-entries 128 zset-max-ziplist-value 64 hll-sparse-max-bytes 3000 activerehashing yes client-output-buffer-limit normal 0 0 0 client-output-buffer-limit slave 256mb 64mb 60 client-output-buffer-limit pubsub 32mb 8mb 60 hz 10 aof-rewrite-incremental-fsync yes
需要注意:fix-ip.sh 脚本的作用用于当redis集群某pod重建后Pod IP发生变化,在/data/nodes.conf中将新的Pod IP替换原Pod IP。不然集群会出问题。
创建和查看
[root@k8s-master01 conf]# kubectl apply -f redis-configmap.yaml [root@k8s-master01 conf]# kubectl get cm -n wiseco|grep redis redis-cluster 2 8m55s
2)准备StatefulSet
volumeClaimTemplates 用于StatefulSet控制器场景:
[root@k8s-master01 redis]# pwd /opt/k8s/k8s_project/redis [root@k8s-master01 redis]# ll total 12 drwxr-xr-x 2 root root 34 Feb 4 18:52 conf drwxr-xr-x 2 root root 45 Feb 4 18:14 image -rw-r--r-- 1 root root 1216 Feb 4 15:31 nfs-rbac.yaml -rw-r--r-- 1 root root 155 Feb 4 15:32 redis-nfs-class.yaml -rw-r--r-- 1 root root 1006 Feb 4 15:32 redis-nfs.yml [root@k8s-master01 redis]# mkdir deploy [root@k8s-master01 redis]# cd deploy/ [root@k8s-master01 deploy]# cat redis-cluster.yml --- apiVersion: v1 kind: Service metadata: namespace: wiseco name: redis-cluster spec: clusterIP: None ports: - port: 6379 targetPort: 6379 name: client - port: 16379 targetPort: 16379 name: gossip selector: app: redis-cluster --- apiVersion: apps/v1 kind: StatefulSet metadata: namespace: wiseco name: redis-cluster spec: serviceName: redis-cluster replicas: 6 selector: matchLabels: app: redis-cluster template: metadata: labels: app: redis-cluster spec: containers: - name: redis image: 172.16.60.238/wiseco/redis:4.0.11 ports: - containerPort: 6379 name: client - containerPort: 16379 name: gossip command: ["/etc/redis/fix-ip.sh", "redis-server", "/etc/redis/redis.conf"] env: - name: POD_IP valueFrom: fieldRef: fieldPath: status.podIP volumeMounts: - name: conf mountPath: /etc/redis/ readOnly: false - name: data mountPath: /data readOnly: false volumes: - name: conf configMap: name: redis-cluster defaultMode: 0755 volumeClaimTemplates: - metadata: name: data annotations: volume.beta.kubernetes.io/storage-class: "redis-nfs-storage" spec: accessModes: - ReadWriteMany resources: requests: storage: 10Gi
创建并查看
[root@k8s-master01 deploy]# kubectl apply -f redis-cluster.yml [root@k8s-master01 deploy]# kubectl get pods -n wiseco|grep redis-cluster redis-cluster-0 1/1 Running 0 10m redis-cluster-1 1/1 Running 0 10m redis-cluster-2 1/1 Running 0 10m redis-cluster-3 1/1 Running 0 10m redis-cluster-4 1/1 Running 0 9m35s redis-cluster-5 1/1 Running 0 9m25s [root@k8s-master01 deploy]# kubectl get svc -n wiseco|grep redis-cluster redis-cluster ClusterIP None <none> 6379/TCP,16379/TCP 10m
查看PV、PVC
[root@k8s-master01 deploy]# kubectl get pv NAME CAPACITY ACCESS MODES RECLAIM POLICY STATUS CLAIM STORAGECLASS REASON AGE pvc-20bcb3be-90e1-4354-bd11-4f442a3bd562 10Gi RWX Delete Bound wiseco/data-redis-cluster-0 redis-nfs-storage 19m pvc-3b53a31b-9a53-4bd4-93ff-2cf9fed551de 10Gi RWX Delete Bound wiseco/data-redis-cluster-2 redis-nfs-storage 12m pvc-43c0cba2-54a9-4416-afb6-8b7730a199dc 10Gi RWX Delete Bound wiseco/data-redis-cluster-1 redis-nfs-storage 12m pvc-66daade5-1b97-41ce-a9e0-4cf88d63894d 10Gi RWX Delete Terminating wiseco/data-redis-cluster-5 redis-nfs-storage 11m pvc-dd62a086-1802-446a-9f9d-35620f7f0b4a 10Gi RWX Delete Bound wiseco/data-redis-cluster-4 redis-nfs-storage 11m pvc-e5aa9802-b983-471c-a7da-32eebc497610 10Gi RWX Delete Bound wiseco/data-redis-cluster-3 redis-nfs-storage 12m [root@k8s-master01 deploy]# kubectl get pvc -n wiseco NAME STATUS VOLUME CAPACITY ACCESS MODES STORAGECLASS AGE data-redis-cluster-0 Bound pvc-20bcb3be-90e1-4354-bd11-4f442a3bd562 10Gi RWX redis-nfs-storage 19m data-redis-cluster-1 Bound pvc-43c0cba2-54a9-4416-afb6-8b7730a199dc 10Gi RWX redis-nfs-storage 12m data-redis-cluster-2 Bound pvc-3b53a31b-9a53-4bd4-93ff-2cf9fed551de 10Gi RWX redis-nfs-storage 12m data-redis-cluster-3 Bound pvc-e5aa9802-b983-471c-a7da-32eebc497610 10Gi RWX redis-nfs-storage 12m data-redis-cluster-4 Bound pvc-dd62a086-1802-446a-9f9d-35620f7f0b4a 10Gi RWX redis-nfs-storage 11m data-redis-cluster-5 Bound pvc-66daade5-1b97-41ce-a9e0-4cf88d63894d 10Gi RWX redis-nfs-storage 11m
3)查看NFS共享存储
NFS服务器(172.16.60.238),查看共享目录/data/storage/k8s/redis
[root@k8s-harbor01 redis]# pwd /data/storage/k8s/redis [root@k8s-harbor01 redis]# ll total 0 drwxrwxrwx 2 root root 63 Feb 4 18:59 wiseco-data-redis-cluster-0-pvc-20bcb3be-90e1-4354-bd11-4f442a3bd562 drwxrwxrwx 2 root root 63 Feb 4 18:59 wiseco-data-redis-cluster-1-pvc-43c0cba2-54a9-4416-afb6-8b7730a199dc drwxrwxrwx 2 root root 63 Feb 4 18:59 wiseco-data-redis-cluster-2-pvc-3b53a31b-9a53-4bd4-93ff-2cf9fed551de drwxrwxrwx 2 root root 63 Feb 4 19:00 wiseco-data-redis-cluster-3-pvc-e5aa9802-b983-471c-a7da-32eebc497610 drwxrwxrwx 2 root root 63 Feb 4 19:00 wiseco-data-redis-cluster-4-pvc-dd62a086-1802-446a-9f9d-35620f7f0b4a drwxrwxrwx 2 root root 63 Feb 4 19:00 wiseco-data-redis-cluster-5-pvc-66daade5-1b97-41ce-a9e0-4cf88d63894d [root@k8s-harbor01 redis]# ls ./* ./wiseco-data-redis-cluster-0-pvc-20bcb3be-90e1-4354-bd11-4f442a3bd562: appendonly.aof nodes.conf redis.log ./wiseco-data-redis-cluster-1-pvc-43c0cba2-54a9-4416-afb6-8b7730a199dc: appendonly.aof nodes.conf redis.log ./wiseco-data-redis-cluster-2-pvc-3b53a31b-9a53-4bd4-93ff-2cf9fed551de: appendonly.aof nodes.conf redis.log ./wiseco-data-redis-cluster-3-pvc-e5aa9802-b983-471c-a7da-32eebc497610: appendonly.aof nodes.conf redis.log ./wiseco-data-redis-cluster-4-pvc-dd62a086-1802-446a-9f9d-35620f7f0b4a: appendonly.aof nodes.conf redis.log ./wiseco-data-redis-cluster-5-pvc-66daade5-1b97-41ce-a9e0-4cf88d63894d: appendonly.aof nodes.conf redis.log
3、初始化Redis Cluster集群
接下来是形成Redis Cluster集群,运行以下命令并键入yes以接受配置。
集群形式:前三个节点成为主节点,后三个节点成为从节点。
需要注意:
redis-trib.rb必须使用ip进行初始化redis集群,使用域名会报如下错误:*******/redis/client.rb:126:in `call’: ERR Invalid node address specified: redis-cluster-0.redis-headless.sts-app.svc.cluster.local:6379 (Redis::CommandError)
这里进行Redis Cluster集群初始化的命令:
以下命令并键入yes以接受配置。前三个节点成为主节点,后三个节点成为从节点。
kubectl exec -it redis-cluster-0 -n wiseco -- redis-trib.rb create --replicas 1 $(kubectl get pods -l app=redis-cluster -n wiseco -o jsonpath='{range.items[*]}{.status.podIP}:6379 ')
先获取Redis Cluster集群的6个节点Pod的ip地址 [root@k8s-master01 redis]# kubectl get pods -n wiseco -o wide|grep redis-cluster redis-cluster-0 1/1 Running 0 4h34m 172.30.217.83 k8s-node04 <none> <none> redis-cluster-1 1/1 Running 0 4h34m 172.30.85.217 k8s-node01 <none> <none> redis-cluster-2 1/1 Running 0 4h34m 172.30.135.181 k8s-node03 <none> <none> redis-cluster-3 1/1 Running 0 4h34m 172.30.58.251 k8s-node02 <none> <none> redis-cluster-4 1/1 Running 0 4h33m 172.30.85.216 k8s-node01 <none> <none> redis-cluster-5 1/1 Running 0 4h33m 172.30.217.82 k8s-node04 <none> <none> [root@k8s-master01 redis]# kubectl get pods -l app=redis-cluster -n wiseco -o jsonpath='{range.items[*]}{.status.podIP}:6379 ' 172.30.217.83:6379 172.30.85.217:6379 172.30.135.181:6379 172.30.58.251:6379 172.30.85.216:6379 172.30.217.82:6379 这里特别注意一下: 上面命令最后一个单引号前面一定要有空格!! 因为接下来进行Redis Cluster集群初始化的时候,集群节点间的ip+port之间要通过空格隔开。 [root@k8s-master01 redis]# kubectl exec -it redis-cluster-0 -n wiseco -- redis-trib.rb create --replicas 1 $(kubectl get pods -l app=redis-cluster -n wiseco -o jsonpath='{range.items[*]}{.status.podIP}:6379 ') >>> Creating cluster >>> Performing hash slots allocation on 6 nodes... Using 3 masters: 172.30.217.83:6379 172.30.85.217:6379 172.30.135.181:6379 Adding replica 172.30.58.251:6379 to 172.30.217.83:6379 Adding replica 172.30.85.216:6379 to 172.30.85.217:6379 Adding replica 172.30.217.82:6379 to 172.30.135.181:6379 M: e5a3154a17131075f35fb32953b8cf8d6cfc7df0 172.30.217.83:6379 slots:0-5460 (5461 slots) master M: 961398483262f505a115957e7e4eda7ff3e64900 172.30.85.217:6379 slots:5461-10922 (5462 slots) master M: 2d1440e37ea4f4e9f6d39d240367deaa609d324d 172.30.135.181:6379 slots:10923-16383 (5461 slots) master S: 0d7bf40bf18d474509116437959b65551cd68b03 172.30.58.251:6379 replicates e5a3154a17131075f35fb32953b8cf8d6cfc7df0 S: 8cbf699a850c0dafe51524127a594fdbf0a27784 172.30.85.216:6379 replicates 961398483262f505a115957e7e4eda7ff3e64900 S: 2987a33f4ce2e412dcc11c1c1daa2538591cd930 172.30.217.82:6379 replicates 2d1440e37ea4f4e9f6d39d240367deaa609d324d 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 172.30.217.83:6379) M: e5a3154a17131075f35fb32953b8cf8d6cfc7df0 172.30.217.83:6379 slots:0-5460 (5461 slots) master M: 961398483262f505a115957e7e4eda7ff3e64900 172.30.85.217:6379 slots:5461-10922 (5462 slots) master M: 2d1440e37ea4f4e9f6d39d240367deaa609d324d 172.30.135.181:6379 slots:10923-16383 (5461 slots) master M: 0d7bf40bf18d474509116437959b65551cd68b03 172.30.58.251:6379 slots: (0 slots) master replicates e5a3154a17131075f35fb32953b8cf8d6cfc7df0 M: 8cbf699a850c0dafe51524127a594fdbf0a27784 172.30.85.216:6379 slots: (0 slots) master replicates 961398483262f505a115957e7e4eda7ff3e64900 M: 2987a33f4ce2e412dcc11c1c1daa2538591cd930 172.30.217.82:6379 slots: (0 slots) master replicates 2d1440e37ea4f4e9f6d39d240367deaa609d324d [OK] All nodes agree about slots configuration. >>> Check for open slots... >>> Check slots coverage... [OK] All 16384 slots covered.
通过上面初始化信息,可以看出集群关系:
redis-cluster-0是master节点,redis-cluster-3是它的从节点。
redis-cluster-1是master节点,redis-cluster-4是它的从节点。
redis-cluster-2是master节点,redis-cluster-5是它的从节点。
4、验证Redis Cluster集群部署
[root@k8s-master01 redis]# kubectl exec -it redis-cluster-0 -n wiseco -- redis-cli 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:6 cluster_my_epoch:1 cluster_stats_messages_ping_sent:130 cluster_stats_messages_pong_sent:137 cluster_stats_messages_sent:267 cluster_stats_messages_ping_received:132 cluster_stats_messages_pong_received:130 cluster_stats_messages_meet_received:5 cluster_stats_messages_received:267 [root@k8s-master01 redis]# for x in $(seq 0 5); do echo "redis-cluster-$x"; kubectl exec redis-cluster-$x -n wiseco -- redis-cli role; echo; done redis-cluster-0 master 168 172.30.58.251 6379 168 redis-cluster-1 master 168 172.30.85.216 6379 168 redis-cluster-2 master 182 172.30.217.82 6379 168 redis-cluster-3 slave 172.30.217.83 6379 connected 182 redis-cluster-4 slave 172.30.85.217 6379 connected 168 redis-cluster-5 slave 172.30.135.181 6379 connected 182