Docker-swarm快速搭建redis集群的方法步骤
目录
- 环境配置
- 修改hostname
- 创建目录
- 创建网络
- 编写compose.yxzYVLml模版文件
- 启动服务
- 验证测试
- 集群
- 集群测试验证
环境配置
1.三台虚拟机,VMxzYVL16
操作系统 | IP | 备注 |
---|---|---|
centos7 | 192.168.2.131 | |
centos7 | 192.168.2.132 | |
centos7 | 192.168.2.133 |
2.redis配置
hostname | IP | 端口 | 备注 | |
---|---|---|---|---|
manager | 192.168.2.131 | 7001 | 17001 | |
manager | 192.168.2.131 | 7002 | 17002 | |
worker01 | 192.168.2.132 | 7003 | 17003 | |
worker01 | 192.168.2.132 | 7004 | 17004 | |
worker02 | 192.168.2.133 | 7005 | 17005 | |
worker02 | 192.168.2.133 | 7006 | 17006 |
修改hostname
192.168.2.131
sudo hhttp://www.devze.comostnamectl set-hostname manager
重启后永久生效,或者执行 exec bash 使立即生效
192.168.2.132
sudo hostnamectl set-hostname worker01
重启后永久生效,或者执行 exec bash 使立即生效
192.168.2.133
sudo hostnamectl set-hostname worker02
重启后永久生效,或者执行 exec bash 使立即生效
创建目录
分别在集群的各服务器(131/132/133)上创建目录:
sudo rm -rf /home/data/redis/ && sudo mkdir -p /home/data/redis/{7001,7002,7003,7004,7005,7006}/{data,conf} && chmod 777 -R /home/data/
创建网络
docker network create --driver overlay mynetwork
这里创建网络类型为overlay,网络类型主要使用比较多的是bridge、overlay ,由于这里使用的是swarm集群部署,要让所有服务在同一个网络中,则需要使用overlay 。
[root@worker2 ~]# docker network ls NETWORK ID NAME DRIVER SCOPE 147f2ede7454 bridge bridge local e29b8451a401 docker_gwbridge bridge local 4b767db33495 host host local splhg7ef8xyc ingress overlay swarm b037f0b632fa mynet bridge local 6zxw8ah74hor mynetwork overlay swarm b6f757b6cadd none null local 063d396e139c somenetwork bridge local
编写compose.yml模版文件
version: "3.8" services: redis7001: image: redis:alpine container_name: redis7001 #设置主机名 hostname: redis7001 restart: always #privileged: true #挂载目录,相当于 docker run -v 主机目录:容器目录 volumes: - /home/data/redis/7001/data:/data - /home/data/redis/7001/conf:/conf #启动容器执行命令,相当于docker run [镜像:tag] [命令], 登录redis: redis-cli -h 192.168.0.80 -p 6379 -a Dszn@2020 command: redis-server --appendonly yes --cluster-enabled yes --cluster-config-file /conf/nodes.conf --cluster-announce-ip 192.168.2.131 --cluster-announce-port 7001 --cluster-announce-bus-port 17001 ports: - "7001:6379" - "17001:16379" #指定环境变量,相当于docker run -e 参数, 登录mysql: mysql -h192.168.3.80 -P3306 -uroot -pDs20Pwd@ environment: - TZ=Asia/Shanghai networks: - mynetwork deploy: placement: constraints: - node.hostname == manager - node.role == manager redis7002: image: redis:alpine container_name: redis7002 #设置主机名 hostname: redis7002 restart: always #privileged: true #挂载目录,相当于 docker run -v 主机目录:容器目录 volumes: - /home/data/redis/7002/data:/data - /home/data/redis/7002/conf:/conf #启动容器执行命令,相当于docker run [镜像:tag] [命令], 登录redis: rediswww.devze.com-cli -h 192.168.0.80 -p 6379 -a Dszn@2020 command: redis-server --appendonly yes --cluster-enabled yes --cluster-config-file /conf/nodes.conf --cluster-announce-ip 192.168.2.131 --cluster-announce-port 7002 --cluster-announce-bus-port 17002 ports: - "7002:6379" - "17002:16379" #指定环境变量,相当于docker run -e 参数, 登录mysql: mysql -h192.168.3.80 -P3306 -uroot -pDs20Pwd@ environment: - TZ=Asia/Shanghai networks: - mynetwork deploy: placement: constraints: - node.hostname == manager http://www.devze.com - node.role == manager redis7003: image: redis:alpine container_name: redis7003 #设置主机名 hostname: redis7003 restart: always volumes: - /home/data/redis/7003/data:/data - /home/data/redis/7003/conf:/conf command: redis-server --appendonly yes --cluster-enabled yes --cluster-config-file /conf/nodes.conf --cluster-announce-ip 192.168.2.132 --cluster-announce-port 7003 --cluster-announce-bus-port 17003 ports: - "7003:6379" - "17003:16379" environment: - TZ=Asia/Shanghai networks: - mynetwork deploy: placement: constraints: - node.hostname == worker1 redis7004: image: redis:alpine container_name: redis7004 #设置主机名 hostname: redis7004 restart: always volumes: - /home/data/redis/7004/data:/data - /home/data/redis/7004/conf:/conf command: redis-server --appendonly yes --cluster-enabled yes --cluster-config-file /conf/nodes.conf --cluster-announce-ip 192.168.2.132 --cluster-announce-port 7004 --cluster-announce-bus-port 17004 ports: - "7004:6379" - "17004:16379" environment: - TZ=Asia/Shanghai networks: - mynetwork deploy: placement: constraints: - node.hostname == worker1 redis7005: image: redis:alpine container_name: redis7005 #设置主机名 hostname: redis7005 restart: always volumes: - /home/data/redis/7005/data:/data - /home/data/redis/7005/conf:/conf command: redis-server --appendonly yes --cluster-enabled yes --cluster-config-file /conf/nodes.conf --cluster-announce-ip 192.168.2.132 --cluster-announce-port 7005 --cluster-announce-bus-port 17005 ports: - "7005:6379" - "17005:16379" environment: - TZ=Asia/Shanghai networks: - mynetwork deploy: placement: constraints: - node.hostname == worker2 redis7006: image: redis:alpine container_name: redis7006 #设置主机名 hostname: redis7006 restart: always volumes: - /home/data/redis/7006/data:/data - /home/data/redis/7006/conf:/conf command: redis-server --appendonly yes --cluster-enabled yes --cluster-config-file /conf/nodes.conf --cluster-announce-ip 192.168.2.133 --cluster-announce-port 7006 --cluster-announce-bus-port 17006 ports: - "7006:6379" - "17006:16379" environment: - TZ=Asia/Shanghai networks: - mynetwork deploy: placement: constraints: - node.hostname == worker2 #声明网桥 networks: #定义服务网桥名称 mynetwork: #指定网桥驱动,有bridge/overlay,默认是bridge driver: overlay #false-统自动创建网桥名,格式为: 目录名_网桥名,默认为false; true-使用外部创建的网桥,需要自己手动创建 external: true #挂载目录,声明服务使用的创建卷名 volumes: mysqldata: #false-系统自动创建的卷名,格式为: 目录名_卷名,默认为false; true-使用外部创建的卷面,需要自己手动创建 external: false
配置说明:
这里使用了6个节点,3主3从,分别在manager/worker1/worker2上创建2个副本。
注意:挂载目录,如果不使用宿主机挂载目录,可以使用卷的方式挂载,卷挂载会自动创建,可以不用提前手动创建。启动服务
sudo docker stack deploy -c redis-stack.yml redis
1.启动服务
[root@manager redis]# sudo docker stack deploy -c redis-stack.yml redis Ignoring unsupported options: restart Ignoring deprecated options: container_name: Setting the container name is not supported. Creating service redis_redis7001 Creating service redis_redis7002 Creating service redis_redis7003 Creating service redis_redis7004 Creating service redis_redis7005 Creating service redis_redis7006
2.查看启动节点
[root@manager redis]# sudo docker stack ls NAME SERVICES ORCHESTRATOR redis 6 Swarm
3.查看启动的堆栈
[root@worker2 redis_cluster]# docker stack ps redis ID NAME IMAGE NODE DESIRED STATE CURRENT STATE ERROR PORTS bdofotp2fx91 redis_redis7001.1 redis:alpine manager Running Running 2 minutes ago 81kmx5o61zn0 redis_redis7002.1 redis:alpine manager Running Running about a minute ago wku68rakslzj redis_redis7003.1 redis:alpine worker1 Running Running 49 seconds ago oo7obcm33guk redis_redis7004.1 redis:alpine worker1 Running Running about a minute ago xrt14qitd7ar redis_redis7005.1 redis:alpine worker2 Running Running about a minute ago jc1xxv66fskg redis_redis7006.1 redis:alpine worker2 Running Running 2 minutes ago [root@worker2 redis_cluster]#
验证测试
本地连接成功
集群
进入manager(192.168.2.131)服务设置集群
1.登录manager节点,执行如下命令集群:
[root@manager ~]# docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 71092cdaaf55 redis:alpine "docker-entrypoint.s…" 2 minutes ago Up About a minute 6379/tcp redis_redis7001.1.j84ta2mmwttpl2lp6eoyksz71 695c0fc4545b redis:alpine "docker-entrypoint.s…" 2 minutes ago Up About a minute 6379/tcp redis_redis7002.1.8jt2yodv9ju8k4saumd7n5rif [root@manager ~]# docker exec -it 710 /bin/sh /data # redis-cli -h 192.168.2.131 -p 7001 --cluster create 192.168.2.131:7001 192.168.2.131:7002 192.168.2.132:7003 192.168.2.132:7004 192.168.2.133:开发者_SQLite7005 192.168.2 .133:7006 --cluster-replicas 1 --cluster-yes
2.查看集群
可以看到集群后,redis有3主3从,分别在manager、worker1、worker2节点上创建了2个服务。
[root@manager ~]# docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 71092cdaaf55 redis:alpine "docker-entrypoint.s…" 28 minutes ago Up 28 minutes 6379/tcp redis_redis7001.1.j84ta2mmwttpl2lp6eoyksz71 695c0fc4545b redis:alpine "docker-entrypoint.s…" 28 minutes ago Up 28 minutes 6379/tcp redis_redis7002.1.8jt2yodv9ju8k4saumd7n5rif [root@manager ~]# docker exec -it 710 /bin/sh /data # redis-cli -c 127.0.0.1:6379> cluster nodes 01011fe3d1e19db0bfab5d736f7fcb85f84e5a2b 192.168.2.131:7002@17002 slave 9fece13f2f1ff237b0e450cb5485c27cd4cc1522 0 1648894677000 5 connected 9a68f8ad7688f3c7f3a5474d64ffc5adc7448288 192.168.2.132:7004@17004 slave c1a9795720eb270d6bc77632236d30bfb1fe9728 0 1648894678000 1 connected c1a9795720eb270d6bc77632236d30bfb1fe9728 192.168.2.131:7001@17001 myself,master - 0 1648894677000 1 connected 0-5460 9fece13f2f1ff237b0e450cb5485c27cd4cc1522 192.168.2.132:7005@17005 master - 0 1648894679923 5 connected 10923-16383 4b6cafd544d4353249eb7f7d58bed7bf0b1caeb1 192.168.2.132:7003@17003 slave 65c23a5ae11b985b270a5e34d7526648a3c826b8 0 1648894679000 7 connected 65c23a5ae11b985b270a5e34d7526648a3c826b8 192.168.2.133:7006@17006 master - 0 1648894678000 7 connected 5461-10922 127.0.0.1:6379>
集群测试验证
1.Manager节点192.168.2.131:7001@17001 myself,master 登录redis:
redis-cli -c set username ‘zxq’ get username
[root@manager ~]# docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 71092cdaaf55 redis:alpine "docker-entrypoint.s…" 4 minutes ago Up 4 minutes 6379/tcp redis_redis7001.1.j84ta2mmwttpl2lp6eoyksz71 695c0fc4545b redis:alpine "docker-entrypoint.s…" 4 minutes ago Up 4 minutes 6379/tcp redis_redis7002.1.8jt2yodv9ju8k4saumd7n5rif [root@manager ~]# docker exec -it 710 /bin/sh /data # redis-cli -c 127.0.0.1:6379> set username "zxq" -> Redirected to slot [14315] located at 192.168.2.132:7005 OK
2.Worker1节点192.168.2.132:7003@17003 master 登录redis:
[root@worker1 ~]# docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 73da00eeb366 redis:alpine "docker-entrypoint.s…" 24 minutes ago Up 23 minutes 6379/tcp redis_redis7004.1.mofccxkrtzb0erc36fwaj9l3b 8e4fed3c8855 redis:alpine "docker-entrypoint.s…" 24 minutes ago Up 23 minutes 6379/tcp redis_redis7003.1.5qmpefwnglv6jvd62206owq3h [root@worker1 ~]# docker exec -it 73d /bin/sh /data # redis-cli -c 127.0.0.1:6379> get username -> Redirected to slot [14315] located at 192.168.2.132:7005 "zxq" 192.168.2.132:7005> set nodes5 "7005" OK
3.Worker1节点192.168.2.132:7004@17004 slave登录redis:
[root@worker1 ~]# docker exec -it 8e4 /bin/sh /data # redis-cli -c 127.0.0.1:6379> get nodes5 -> Redirected to slot [15322] located at 192.168.2.132:7005 "7005" 192.168.2.132:7005>
4.Worker2节点192.168.2.133:7006@17006 slave 登录redis:
[root@worker2 ~]# docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 7505c9fde687 redis:alpine "docker-entrypoint.s…" 47 minutes ago Up 47 minutes 6379/tcp redis_redis7006.1.o6yly8n6h352g034jhx7nbvaf 2da9dc998c69 redis:alpine "docker-entrypoint.s…" 47 minutes ago Up 47 minutes 6379/tcp redis_redis7005.1.s6lfflko40afutyz9a5b77tib [root@worker2 ~]# docker exec -it 750 /bin/sh /data # redis-cli -c 127.0.0.1:6379> get username -> Redirected to slot [14315] located at 192.168.2.132:7005 "zxq" 192.168.2.132:7005> get name -> Redirected to slot [5798] located at 192.168.2.133:7006 "zxq" 192.168.2.133:7006> get nodes5 -> Redirected to slot [15322] located at 192.168.2.132:7005 "7005" 192.168.2.132:7005>
redis集群完成
参考原文章地址:
docker swarm redis集群_starsky20的博客-CSDN博客_docker swarm搭建redis集群
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