helm安装redis+Sentinel集群搭建

一、redis集群特点

数据 在多个Redis节点之间自动分片

 sentinel特点:

它的主要功能有以下几点

不时地监控redis是否按照预期良好地运行;
如果发现某个redis节点运行出现状况,能够通知另外一个进程(例如它的客户端);
能够进行自动切换。当一个master节点不可用时,能够选举出master的多个slave(如果有超过一个slave的话)中的一个来作为新的master,其它的slave节点会将它所追随的master的地址改为被提升为master的slave的新地址。

 sentinel配置文件详解

参考:https://segmentfault.com/a/1190000002680804

 

主节点down了,从节点选举机制如下:

  https://blog.csdn.net/tr1912/article/details/81265007

 

二、redis端口

对于每个节点,要使Redis群集正常工作,您需要:

为客户端提供服务的普通Redis TCP端口,例如6379
集群总线例如:16379(客户端端口+ 10000

 

三、安装

  3.1  多台机器 创建pv且大于60g,pv.yaml(ps:不能在一台机器运行所有,因为每个pod都有podAntiAffinity:实现每台机器只能有一个redis)

apiVersion: v1
kind: PersistentVolume
metadata:
  name: data
  labels:
    app: redis-ha #pv和pvc测试过,不需要name和labels识别,调度器会为pvc自动选择合适容量的pv
spec:
  capacity:
    storage: 60Gi
  accessModes:
    - ReadWriteOnce
  hostPath:
    path: /opt/data

        kubectl create -f pv.yaml

  安装启动redis集群

#修改本机path路径,授权用户(1000)具备创建目录权限
helm install --set hostPath.path=/opt  --name=redis-ha stable/redis-ha  

       

      3.2  单机实现redis集群,需要取消affinity

    redis-ha-values-custom.yaml

## Node labels, affinity, and tolerations for pod assignment
## ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#nodeselector
## ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#taints-and-tolerations-beta-feature
## ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
# Just for local develop environment
affinity: {}

  启动

helm install --set hostPath.path=/opt  --name=redis-ha -f ./redis-ha-values-custom.yaml stable/redis-ha #通过取消affinity单机实现redis集群 

看看service文件,每个redis通过本svc识别其他redis

apiVersion: v1
kind: Service
metadata:
  labels:
    app: redis-ha
    chart: redis-ha-3.3.3
  name: redis-ha-announce-0
  namespace: default
spec:
  clusterIP: 10.102.130.11
  ports:
  - name: server
    port: 6379
    protocol: TCP
    targetPort: redis
  - name: sentinel
    port: 26379
   protocol: TCP
targetPort: sentinel
type: ClusterIP
selector:
app: redis-ha
release: redis-ha
statefulset.kubernetes.io/pod-name: redis-ha-server-0

 

 

 四、测试

 kubectl  get svc |grep redis,如下

redis-ha ClusterIP None <none> 6379/TCP,26379/TCP 37m
redis-ha-announce-0 ClusterIP 10.102.130.11 <none> 6379/TCP,26379/TCP 37m  #默认这个为redis主
redis-ha-announce-1 ClusterIP 10.105.223.197 <none> 6379/TCP,26379/TCP 37m
redis-ha-announce-2 ClusterIP 10.106.29.241 <none> 6379/TCP,26379/TCP 37m

 

kubectl  get pod -o wide|grep redis,如下

redis-ha-server-0 2/2 Running 0 41m 10.244.0.11 hostname-test 
redis-ha-server-1 2/2 Running 0 37m 10.244.0.12 hostname-test 
redis-ha-server-2 2/2 Running 0 35m 10.244.0.13 hostname-test

进入pod为redis-ha-server-1,容器为sentinel 
kubectl exec -it redis-ha-server-1 -c sentinel sh
容器里面$ redis-cli  -h  redis-ha-announce-0 -p 26379

 

容器里面$ redis-cli  -h  redis-ha-announce-0 -p 6379

 

 

 

故障转移实验

停止主redis:

#1、在主上故障转移测试,使主down掉
redis-cli -h redis-ha-announce-0 -p 6379 debug segfault

#2、然后进入redis容器或sentinel容器
kubectl exec -it redis-ha-server-2 -c redis sh
kubectl exec -it redis-ha-server-0 -c sentinel sh

#3、容器里面使用redis客户端连接redis服务端
redis-cli -h redis-ha-announce-1 -p 6379 
redis-cli -h redis-ha-announce-2 -p 6379
#容器里面使用redis客户端连接Sentinel服务端
redis-cli -h redis-ha-announce-0 -p 26379


#4、redis查看主从状态
info replication
#sentinel查看状态 
INFO Sentinel

#5、查看日志
kubectl logs -f  redis-ha-server-0 -c redis
kubectl logs -f  redis-ha-server-1 -c redis
kubectl logs -f  redis-ha-server-2 -c redis

#主前任主上查看redis主从状态如下,10.106.29.241是第三台redis的ip,说转换成功了 

 

 

 

 #测试添加一台redis实验,如下:

   1、修改文件redis-ha-values-upgrade.yaml

replicas: 4
affinity: {}
hostPath:
path:/opt

  2、创建pv4

apiVersion: v1
kind: PersistentVolume
metadata:
      name: data03
spec:
 capacity:
  storage: 10Gi
 accessModes:
  - ReadWriteOnce
 hostPath:
  path: /opt/data03

ps:如果单机部署集群,每个redis的pv的路径不能相同,否则会报错 

 

3、升级

helm upgrade -f redis-ha-values-upgrade.yaml redis-ha stable/redis-ha

  4、报错可以回滚

helm rollback redis-ha 1

 

 

五、删除

helm ls --all
helm del --purge redis-ha

 

posted @ 2019-03-25 16:43  凯文队长  阅读(3256)  评论(0编辑  收藏  举报