0
点赞
收藏
分享

微信扫一扫

2022-03-17 使用k8s的operator-hub中的redis-operator组建cluster集群-操作手册

静鸡鸡的JC 2022-03-17 阅读 24

目录

摘要:

redis-operator的代码仓库:

使用redis-operator部署redis-cluster集群:

一. 安装crd资源

执行安装crd命令:

执行结果:

查看crd:

二. 编译controller

执行编译controller命令

命令执行结果:

三. 启动controller进程

三. 查看redis-cluster集群是否已组建:

查看pod

查看redis的cluster集群信息:


摘要:

记录使用operator-hub中的redis-operator组建cluster集群的操作手册

redis-operator的代码仓库:

https://github.com/ot-container-kit/redis-operator

使用redis-operator部署redis-cluster集群:

一. 安装crd资源

执行安装crd命令:

make install

执行结果:

[root@node-201 redis-operator]# make install
/root/work/redis-operator/bin/controller-gen "crd:trivialVersions=true,preserveUnknownFields=false" rbac:roleName=manager-role webhook paths="./..." output:crd:artifacts:config=config/crd/bases
/root/work/redis-operator/bin/kustomize build config/crd | kubectl apply -f -
customresourcedefinition.apiextensions.k8s.io/redis.redis.redis.opstreelabs.in configured
customresourcedefinition.apiextensions.k8s.io/redisclusters.redis.redis.opstreelabs.in configured

查看crd:

[root@node-201 redis-operator]# kubectl  get crd
NAME                                       CREATED AT
applications.apps.hello.org                2022-03-15T09:25:40Z
guestbooks.webapp.com.bolingcavalry        2022-03-14T10:51:25Z
redis.redis.redis.opstreelabs.in           2022-03-14T11:01:10Z
redisclusters.redis.redis.opstreelabs.in   2022-03-14T11:01:10Z

二. 编译controller

执行编译controller命令

make

命令执行结果:

[root@node-201 redis-operator]# make
'/root/work/redis-operator/bin/controller-gen object:headerFile="hack/boilerplate.go.txt" paths="./..."
go fmt ./...
go vet ./...
kubebuilder edit
go build -gcflags=all="-N -l" -o bin/manager main.go

三. 启动controller进程

启动 ./bin/manager可执行文件即可

./bin/manager

启动后日志:

[root@node-201 redis-operator]# ./bin/manager 
1.647499103461668e+09	INFO	controller-runtime.metrics	Metrics server is starting to listen	{"addr": ":8040"}
1.647499103462062e+09	INFO	setup	starting manager
1.6474991034624867e+09	INFO	Starting server	{"kind": "health probe", "addr": "[::]:8041"}
1.6474991034624867e+09	INFO	Starting server	{"path": "/metrics", "kind": "metrics", "addr": "[::]:8040"}
1.6474991034627392e+09	INFO	controller.redis	Starting EventSource	{"reconciler group": "redis.redis.opstreelabs.in", "reconciler kind": "Redis", "source": "kind source: *v1beta1.Redis"}
1.6474991034627922e+09	INFO	controller.rediscluster	Starting EventSource	{"reconciler group": "redis.redis.opstreelabs.in", "reconciler kind": "RedisCluster", "source": "kind source: *v1beta1.RedisCluster"}

四. 部署redis-cluster的cr

执行命令


kubectl apply -f example/redis-cluster.yaml

查看cr:

[root@node-201 redis-operator]# kubectl  get RedisCluster
NAME            CLUSTERSIZE   LEADERREPLICAS   FOLLOWERREPLICAS   AGE
redis-cluster   6             3     

五. 查看redis的cluster集群的组建情况:

查看pod

[root@node-201 redis-operator]# kubectl  get pods -o wide  | grep redis
redis-cluster-follower-0   1/1     Running   0          26m   10.168.1.11    node-202   <none>           <none>
redis-cluster-follower-1   1/1     Running   0          26m   10.168.0.34    node-201   <none>           <none>
redis-cluster-follower-2   1/1     Running   0          25m   10.168.2.101   node-203   <none>           <none>
redis-cluster-leader-0     1/1     Running   0          26m   10.168.1.10    node-202   <none>           <none>
redis-cluster-leader-1     1/1     Running   0          26m   10.168.0.33    node-201   <none>           <none>
redis-cluster-leader-2     1/1     Running   0          25m   10.168.2.100   node-203   <none>           <none>

查看redis的cluster集群信息:

[root@node-201 redis-operator]# kubectl  exec redis-cluster-leader-0 -- redis-cli cluster nodes
84a5a1fabef77ed9d2136ce87c59fdc49ed9cdb8 10.168.0.34:6379@16379 slave ef08e674515a726c8be271235abea2fd300e7d69 0 1647499250529 2 connected
ef08e674515a726c8be271235abea2fd300e7d69 10.168.0.33:6379@16379 master - 0 1647499250000 2 connected 5461-10922
1643d026495ae20e765a1fc673ba960333e1a1dd 10.168.2.101:6379@16379 slave ac44cc072210ae7d87eb50a61d67f0b4bb69651a 0 1647499250630 3 connected
78c7403f708a6953234e3f00699db3feb53cd0d7 10.168.1.11:6379@16379 slave c2b626621a888d587fe58f3ccaf78cef3ff65303 0 1647499250529 1 connected
c2b626621a888d587fe58f3ccaf78cef3ff65303 10.168.1.10:6379@16379 myself,master - 0 1647499250000 1 connected 0-5460
ac44cc072210ae7d87eb50a61d67f0b4bb69651a 10.168.2.100:6379@16379 master - 0 1647499250000 3 connected 10923-16383

举报

相关推荐

0 条评论