如果让你为开发、测试环境别离搭一套哨兵和集群模式的redis,你最快须要多久,或者你须要一天?2小时?事实是能够更短。 是的,你曾经猜到了,用docker部署,真的只须要十几分钟。
一.筹备工作
拉取redis镜像
运行如下命令:
docker pull redis
该命令拉取的镜像是官网镜像,当然你能够搜寻其余的镜像,这里不做深刻
查看镜像状况:
二.部署redis哨兵主从模式
什么是哨兵模式?–请自行百度
1、什么是docker compose?
Docker Compose 能够了解为将多个容器运行的形式和配置固化下来!
就拿最简略的例子来说吧,如果咱们要为咱们的利用容器筹备一个 MySQL 容器和一个 Redis 容器,那么在每次启动时,咱们先要将 MySQL 容器和 Redis 容器启动起来,再将利用容器运行起来。这其中还不要忘了在创立利用容器时将容器网络连接到 MySQL 容器和 Redis 容器上,以便利用连贯上它们并进行数据交换。
这还不够,如果咱们还对容器进行了各种配置,咱们最好还得将容器创立和配置的命令保留下来,以便下次能够间接应用。
针对这种状况,咱们就不得不引出在咱们开发中最常应用的多容器定义和运行软件,也就是 Docker Compose 了。
2、编写reids主从docker-compose.yml
version: '3.7'
services:
master:
image: redis
container_name: redis-master
restart: always
command: redis-server --requirepass redispwd --appendonly yes
ports:
- 6379:6379
volumes:
- ./data1:/data
slave1:
image: redis
container_name: redis-slave-1
restart: always
command: redis-server --slaveof redis-master 6379 --requirepass redispwd --masterauth redispwd --appendonly yes
ports:
- 6380:6379
volumes:
- ./data2:/data
slave2:
image: redis
container_name: redis-slave-2
restart: always
command: redis-server --slaveof redis-master 6379 --requirepass redispwd --masterauth redispwd --appendonly yes
ports:
- 6381:6379
volumes:
- ./data3:/data
名词解释:
3、启动主从redis
进入redis对应的docker-compose.yml的目录,执行命令:
docker-compose up -d
-d示意后盾运行
应用命令docker ps命令查看启动后果:
呈现截图所示,示意运行胜利
4.编写哨兵docker-compose.yml
version: '3.7'
services:
sentinel1:
image: redis
container_name: redis-sentinel-1
restart: always
ports:
- 26379:26379
command: redis-sentinel /usr/local/etc/redis/sentinel.conf
volumes:
- ./sentinel1.conf:/usr/local/etc/redis/sentinel.conf
sentinel2:
image: redis
container_name: redis-sentinel-2
restart: always
ports:
- 26380:26379
command: redis-sentinel /usr/local/etc/redis/sentinel.conf
volumes:
- ./sentinel2.conf:/usr/local/etc/redis/sentinel.conf
sentinel3:
image: redis
container_name: redis-sentinel-3
ports:
- 26381:26379
command: redis-sentinel /usr/local/etc/redis/sentinel.conf
volumes:
- ./sentinel3.conf:/usr/local/etc/redis/sentinel.conf
networks:
default:
external:
name: redis_default
5.编写哨兵sentinel.conf
# 自定义集群名,其中172.19.0.3 为 redis-master 的 ip,6379 为 redis-master 的端口,2 为最小投票数(因为有 3 台 Sentinel 所以能够设置成 2)
port 26379
dir /tmp
sentinel monitor mymaster 172.19.0.3 6379 2
sentinel down-after-milliseconds mymaster 30000
sentinel parallel-syncs mymaster 1
sentinel auth-pass mymaster redispwd
sentinel failover-timeout mymaster 180000
sentinel deny-scripts-reconfig yes
将上述文件别离拷贝3份别离命名为sentinel1.conf、sentinel2.conf、sentinel3.conf与docker-compose.yml中的配置文件对应,而后搁置和哨兵的docker-compose.yml在同一目录
6.启动哨兵
进入哨兵docker-compose.yml所在目录,执行命令:
docker-compose up -d
查看容器,能够看到哨兵和主从redis都起来了
6.1哨兵启动日志
上述日志中能够看出,哨兵监听master和slave节点
6.2关掉master节点
通过命令进行redis的master节点
docker stop redis-master
通过上述日志,咱们能够看到sdown,odown,他们是什么意思呢?
sdown是主观宕机,就一个哨兵如果本人感觉一个master宕机了,那么就是主观宕机
odown是主观宕机,如果quorum数量的哨兵都感觉一个master宕机了,那么就是主观宕机
而后就是开始选举,从日志能够看出两个哨兵抉择了同一个slave节点,这时候满足了咱们配置最小投票数,那么这台slave就被选为新的master。
6.3重开master节点
上述日志表明哨兵检测到原master重新启动,将原master节点变成新master的从节点
三.部署redis集群模式
1、创立目录和文件
├── docker-compose.yml
├── redis-6371
│ ├── conf
│ │ └── redis.conf
│ └── data
├── redis-6372
│ ├── conf
│ │ └── redis.conf
│ └── data
├── redis-6373
│ ├── conf
│ │ └── redis.conf
│ └── data
├── redis-6374
│ ├── conf
│ │ └── redis.conf
│ └── data
├── redis-6375
│ ├── conf
│ │ └── redis.conf
│ └── data
└── redis-6376
├── conf
│ └── redis.conf
└── data
2、redis.conf 配置文件
port 6371
cluster-enabled yes
cluster-config-file nodes-6371.conf
cluster-node-timeout 5000
appendonly yes
protected-mode no
requirepass 1234
masterauth 1234
cluster-announce-ip 10.12.12.10 # 这里是宿主机IP
cluster-announce-port 6371
cluster-announce-bus-port 16371
每个节点的配置只需扭转端口。
3、docker-compose 配置文件
version: "3"
# 定义服务,能够多个
services:
redis-6371: # 服务名称
image: redis # 创立容器时所需的镜像
container_name: redis-6371 # 容器名称
restart: always # 容器总是重新启动
volumes: # 数据卷,目录挂载
- ./redis-6371/conf/redis.conf:/usr/local/etc/redis/redis.conf
- ./redis-6371/data:/data
ports:
- 6371:6371
- 16371:16371
command:
redis-server /usr/local/etc/redis/redis.conf
redis-6372:
image: redis
container_name: redis-6372
volumes:
- ./redis-6372/conf/redis.conf:/usr/local/etc/redis/redis.conf
- ./redis-6372/data:/data
ports:
- 6372:6372
- 16372:16372
command:
redis-server /usr/local/etc/redis/redis.conf
redis-6373:
image: redis
container_name: redis-6373
volumes:
- ./redis-6373/conf/redis.conf:/usr/local/etc/redis/redis.conf
- ./redis-6373/data:/data
ports:
- 6373:6373
- 16373:16373
command:
redis-server /usr/local/etc/redis/redis.conf
redis-6374:
image: redis
container_name: redis-6374
restart: always
volumes:
- ./redis-6374/conf/redis.conf:/usr/local/etc/redis/redis.conf
- ./redis-6374/data:/data
ports:
- 6374:6374
- 16374:16374
command:
redis-server /usr/local/etc/redis/redis.conf
redis-6375:
image: redis
container_name: redis-6375
volumes:
- ./redis-6375/conf/redis.conf:/usr/local/etc/redis/redis.conf
- ./redis-6375/data:/data
ports:
- 6375:6375
- 16375:16375
command:
redis-server /usr/local/etc/redis/redis.conf
redis-6376:
image: redis
container_name: redis-6376
volumes:
- ./redis-6376/conf/redis.conf:/usr/local/etc/redis/redis.conf
- ./redis-6376/data:/data
ports:
- 6376:6376
- 16376:16376
command:
redis-server /usr/local/etc/redis/redis.conf
编写实现后应用docker-compose up -d启动容器 ,这里没有应用主机模式(host),而是应用 NAT 模式,因为主机模式可能导致内部客户端无奈连贯。
4、进入容器,创立集群
下面只是启动了 6 个 Redis 实例,并没有构建成 Cluster 集群。
执行docker exec -it redis-6371 bash进入一个 Redis 节点容器,轻易哪个都行。
继续执行以下命令创立集群:
# 集群创立命令
redis-cli -a 1234 --cluster create 10.35.30.39:6371 10.35.30.39:6372 10.35.30.39:6373 10.35.30.39:6374 10.35.30.39:6375 10.35.30.39:6376 --cluster-replicas 1
# 执行过后会有以下输入
Warning: Using a password with '-a' or '-u' option on the command line interface may not be safe.
>>> Performing hash slots allocation on 6 nodes...
Master[0] -> Slots 0 - 5460
Master[1] -> Slots 5461 - 10922
Master[2] -> Slots 10923 - 16383
Adding replica 10.35.30.39:6375 to 10.35.30.39:6371
Adding replica 10.35.30.39:6376 to 10.35.30.39:6372
Adding replica 10.35.30.39:6374 to 10.35.30.39:6373
>>> Trying to optimize slaves allocation for anti-affinity
[WARNING] Some slaves are in the same host as their master
M: e9a35d6a9d203830556de89f06a3be2e2ab4eee1 10.35.30.39:6371
slots:[0-5460] (5461 slots) master
M: 0c8755144fe6a200a46716371495b04f8ab9d4c8 10.35.30.39:6372
slots:[5461-10922] (5462 slots) master
M: fcb83b0097d2a0a87a76c0d782de12147bc86291 10.35.30.39:6373
slots:[10923-16383] (5461 slots) master
S: b9819797e98fcd49f263cec1f77563537709bcb8 10.35.30.39:6374
replicates fcb83b0097d2a0a87a76c0d782de12147bc86291
S: f4660f264f12786d81bcf0b18bc7287947ec8a1b 10.35.30.39:6375
replicates e9a35d6a9d203830556de89f06a3be2e2ab4eee1
S: d2b9f265ef7dbb4a612275def57a9cc24eb2fd5d 10.35.30.39:6376
replicates 0c8755144fe6a200a46716371495b04f8ab9d4c8
Can I set the above configuration? (type 'yes' to accept): yes # 这里输出 yes 并回车 确认节点 主从身份 以及 哈希槽的调配
>>> 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 10.35.30.39:6371)
M: e9a35d6a9d203830556de89f06a3be2e2ab4eee1 10.35.30.39:6371
slots:[0-5460] (5461 slots) master
1 additional replica(s)
M: 0c8755144fe6a200a46716371495b04f8ab9d4c8 10.35.30.39:6372
slots:[5461-10922] (5462 slots) master
1 additional replica(s)
S: b9819797e98fcd49f263cec1f77563537709bcb8 10.35.30.39:6374
slots: (0 slots) slave
replicates fcb83b0097d2a0a87a76c0d782de12147bc86291
M: fcb83b0097d2a0a87a76c0d782de12147bc86291 10.35.30.39:6373
slots:[10923-16383] (5461 slots) master
1 additional replica(s)
S: f4660f264f12786d81bcf0b18bc7287947ec8a1b 10.35.30.39:6375
slots: (0 slots) slave
replicates e9a35d6a9d203830556de89f06a3be2e2ab4eee1
S: d2b9f265ef7dbb4a612275def57a9cc24eb2fd5d 10.35.30.39:6376
slots: (0 slots) slave
replicates 0c8755144fe6a200a46716371495b04f8ab9d4c8
[OK] All nodes agree about slots configuration.
>>> Check for open slots...
>>> Check slots coverage...
[OK] All 16384 slots covered.
看到下面的输入即为 Cluster 集群配置实现。且为 3 主 3 从。
总结:
以上就是通过docker compose形式部署哨兵模式和集群模式的全过程,redis部署在docker中,实用于本地、开发、测试等环境,生产环境请慎用,除非你对docker有很强的掌控力。
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