docker|使用docker搭建redis集群集群|redis

如何使用docker搭建redis集群

最近跟着狂神学习了Docker技术，这里对如何使用docker搭建redis集群做个总结

一、创建redis的docker网卡

# 后面的网络地址可以自定义，只要格式对就OK sudo docker network create redis --subnet 192.161.0.0/16

二、通过脚本创建六个redis配置

# 这里如果提示权限不够的话使用 sudo su 进入root模式即可 for port in $(seq 1 6); \ do \ mkdir -p /mydata/redis/node-${port}/conf touch /mydata/redis/node-${port}/conf/redis.conf cat << EOF >/mydata/redis/node-${port}/conf/redis.conf port 6379 bind 0.0.0.0 cluster-enabled yes cluster-config-file nodes.conf cluster-node-timeout 5000 cluster-announce-ip 192.161.0.1${port} cluster-announce-port 6379 cluster-announce-bus-port 16379 appendonly yes EOF done

三、创建redis容器并启动

# 使用脚本直接开启六个redis服务 for port in $(seq 1 6); \ do \ docker run -p 637${port}:6379 -p 1637${port}:16379 --name redis-${port} \ -v /mydata/reids/node-${port}/data:/data \ -v /mydata/redis/node-${port}/conf/redis.conf:/etc/redis/redis.conf \ -d --net redisnet --ip 192.161.0.1${port} redis redis-server /etc/redis/redis.conf EOF done

四、创建集群

进入到刚刚创建的容器中

docker exec -it redis-1 /bin/sh

创建集群

redis-cli --cluster create 192.161.0.11:6379 192.161.0.12:6379 192.161.0.13:6379 192.161.0.14:6379 192.161.0.15:6379 192.161.0.16:6379 --cluster-replicas 1

出现如下所示代码即表示创建成功

>>> Performing hash slots allocation on 6 nodes... Master[0] -> Slots 0 - 5460 Master[1] -> Slots 5461 - 10922 Master[2] -> Slots 10923 - 16383 Adding replica 192.161.0.15:6379 to 192.161.0.11:6379 Adding replica 192.161.0.16:6379 to 192.161.0.12:6379 Adding replica 192.161.0.14:6379 to 192.161.0.13:6379 M: 114e98251e35456e08665965e09d76ee685c9312 192.161.0.11:6379 slots:[0-5460] (5461 slots) master M: e052bc2a9dcdf59356e37e6dcfedaacdf32df158 192.161.0.12:6379 slots:[5461-10922] (5462 slots) master M: 79ea1d72060fd0ed4b238b7b04eba6a7a9985880 192.161.0.13:6379 slots:[10923-16383] (5461 slots) master S: b5e91d65bf50c19172e7e36881e627cff1123f19 192.161.0.14:6379 replicates 79ea1d72060fd0ed4b238b7b04eba6a7a9985880 S: c53a787a2d8d9bea0d1de6eb8b2978d5e54eb608 192.161.0.15:6379 replicates 114e98251e35456e08665965e09d76ee685c9312 S: 0aecc3e25024a60db1871271166a1d5798f962f6 192.161.0.16:6379 replicates e052bc2a9dcdf59356e37e6dcfedaacdf32df158 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 192.161.0.11:6379) M: 114e98251e35456e08665965e09d76ee685c9312 192.161.0.11:6379 slots:[0-5460] (5461 slots) master 1 additional replica(s) M: 79ea1d72060fd0ed4b238b7b04eba6a7a9985880 192.161.0.13:6379 slots:[10923-16383] (5461 slots) master 1 additional replica(s) S: c53a787a2d8d9bea0d1de6eb8b2978d5e54eb608 192.161.0.15:6379 slots: (0 slots) slave replicates 114e98251e35456e08665965e09d76ee685c9312 S: 0aecc3e25024a60db1871271166a1d5798f962f6 192.161.0.16:6379 slots: (0 slots) slave replicates e052bc2a9dcdf59356e37e6dcfedaacdf32df158 M: e052bc2a9dcdf59356e37e6dcfedaacdf32df158 192.161.0.12:6379 slots:[5461-10922] (5462 slots) master 1 additional replica(s) S: b5e91d65bf50c19172e7e36881e627cff1123f19 192.161.0.14:6379 slots: (0 slots) slave replicates 79ea1d72060fd0ed4b238b7b04eba6a7a9985880 [OK] All nodes agree about slots configuration. >>> Check for open slots... >>> Check slots coverage... [OK] All 16384 slots covered.

五、进入集群

redis-cli -c # 查看集群信息 cluster info

显示的集群信息

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:145 cluster_stats_messages_pong_sent:153 cluster_stats_messages_sent:298 cluster_stats_messages_ping_received:148 cluster_stats_messages_pong_received:145 cluster_stats_messages_meet_received:5 cluster_stats_messages_received:298

# 查看集群节点 cluster nodes

【docker|使用docker搭建redis集群】集群节点信息

79ea1d72060fd0ed4b238b7b04eba6a7a9985880 192.161.0.13:6379@16379 master - 0 1646645048000 3 connected 10923-16383 114e98251e35456e08665965e09d76ee685c9312 192.161.0.11:6379@16379 myself,master - 0 1646645047000 1 connected 0-5460 c53a787a2d8d9bea0d1de6eb8b2978d5e54eb608 192.161.0.15:6379@16379 slave 114e98251e35456e08665965e09d76ee685c9312 0 1646645049528 1 connected 0aecc3e25024a60db1871271166a1d5798f962f6 192.161.0.16:6379@16379 slave e052bc2a9dcdf59356e37e6dcfedaacdf32df158 0 1646645048324 2 connected e052bc2a9dcdf59356e37e6dcfedaacdf32df158 192.161.0.12:6379@16379 master - 0 1646645048000 2 connected 5461-10922 b5e91d65bf50c19172e7e36881e627cff1123f19 192.161.0.14:6379@16379 slave 79ea1d72060fd0ed4b238b7b04eba6a7a9985880 0 1646645048825 3 connected

六、测试

# 存储值到redis中 127.0.0.1:6379> set a b # 存储成功显示 -> Redirected to slot [15495] located at 192.161.0.13:6379 OK# 退出容器，并停止redis-3 docker stop redis-3# 重新启动集群 redis-cli -c # 获取刚刚存储的值 127.0.0.1:6379> get a # 可以看到由于将redis-3关闭，其中的值也转存到了redis-4中 -> Redirected to slot [15495] located at 192.161.0.14:6379 "b"# 查看节点，由于redis-3停止了，现在redis-4变成了主节点 cluster nodes # 节点信息 0aecc3e25024a60db1871271166a1d5798f962f6 192.161.0.16:6379@16379 slave e052bc2a9dcdf59356e37e6dcfedaacdf32df158 0 1646651913232 2 connected e052bc2a9dcdf59356e37e6dcfedaacdf32df158 192.161.0.12:6379@16379 master - 0 1646651913733 2 connected 5461-10922 b5e91d65bf50c19172e7e36881e627cff1123f19 192.161.0.14:6379@16379 myself,master - 0 1646651913000 9 connected 10923-16383 114e98251e35456e08665965e09d76ee685c9312 192.161.0.11:6379@16379 master - 0 1646651913000 1 connected 0-5460 79ea1d72060fd0ed4b238b7b04eba6a7a9985880 192.161.0.13:6379@16379 master,fail - 1646651680915 1646651678405 8 connected c53a787a2d8d9bea0d1de6eb8b2978d5e54eb608 192.161.0.15:6379@16379 slave 114e98251e35456e08665965e09d76ee685c9312 0 1646651914234 1 connected