Docker | redis集群部署实战

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前面已经简单熟悉过redis的下载安装使用,今天接着部署redis集群(cluster),简单体会一下redis集群的高可用特性。

环境准备

Redis是C语言开发,安装Redis需要先将Redis的源码进行编译,编译依赖gcc环境

安装gcc-c++

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yum install gcc-c++

查看版本

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[root@--- redis]# gcc -v
Using built-in specs.
COLLECT_GCC=gcc
COLLECT_LTO_WRAPPER=/usr/libexec/gcc/x86_64-redhat-linux/4.8.5/lto-wrapper
Target: x86_64-redhat-linux
Configured with: ../configure --prefix=/usr --mandir=/usr/share/man --infodir=/usr/share/info --with-bugurl=http://bugzilla.redhat.com/bugzilla --enable-bootstrap --enable-shared --enable-threads=posix --enable-checking=release --with-system-zlib --enable-__cxa_atexit --disable-libunwind-exceptions --enable-gnu-unique-object --enable-linker-build-id --with-linker-hash-style=gnu --enable-languages=c,c++,objc,obj-c++,java,fortran,ada,go,lto --enable-plugin --enable-initfini-array --disable-libgcj --with-isl=/builddir/build/BUILD/gcc-4.8.5-20150702/obj-x86_64-redhat-linux/isl-install --with-cloog=/builddir/build/BUILD/gcc-4.8.5-20150702/obj-x86_64-redhat-linux/cloog-install --enable-gnu-indirect-function --with-tune=generic --with-arch_32=x86-64 --build=x86_64-redhat-linux
Thread model: posix
gcc version 4.8.5 20150623 (Red Hat 4.8.5-44) (GCC)
[root@--- redis]#

Redis的四种模式

  1. 单机模式

  2. master+slave(主从)

  3. sentinel(哨兵)

  4. cluster(集群)

创建redis网卡

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[root@--- ~]# docker network create redis --subnet 172.38.0.0/16
0350d84612bef09bc32b39f15ac6b608dae17cbd75d04b282c0bd37c0283bb7c
[root@iZm5e23n3ueobwkjtfartxZ ~]# docker network ls
NETWORK ID NAME DRIVER SCOPE
feafa30d4051 bridge bridge local
e8bf4fced9e2 host host local
0096a971fd2c mynet bridge local
6263db0933b9 none null local
0350d84612be redis bridge local
799426d70aa2 test-network bridge local
[root@--- ~]#

创建6个redis服务

通过编写脚本创建6个redis服务

  • cluster-enabled:是否启动集群,选值:yes 、no
  • cluster-config-file 配置文件.conf :指定节点信息,自动生成
  • cluster-node-timeout 毫秒值: 配置节点连接超时时间
  • appendonly:是否开启持久化,选值:yes、no
  • daemonize: 守护进程启动(后台启动)

/var目录下创建脚本文件create_redis_script.sh

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touch create_redis_script.sh

编写脚本内容

vim create_redis_script.sh,写入下面的内容

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for port in $(seq	1 6); \
do \
mkdir -p /var/redisNode/node-${port}/conf
touch /var/redisNode/node-${port}/conf/redis.conf
cat << EOF >/var/redisNode/node-${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 172.38.0.1${port}
cluster-announce-port 6379
cluster-announce-bus-port 16379
appendonly yes
#daemonize yes
EOF
done

查看脚本文件

cat create_redis_script.sh

赋予create_redis_script.sh文件可执行权限

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[root@--- ~]# chmod o+x create_redis_script.sh

执行脚本,创建redis服务

./create_redis_script.sh

查看redis节点

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[root@--- redisNode]# pwd
/var/redisNode
[root@--- redisNode]# ls
node-1 node-2 node-3 node-4 node-5 node-6
[root@--- redisNode]#

查看redis.conf配置文件

启动redis服务

  • -v 挂载数据卷

  • redis:5.0.9-alpine3.11 redis镜像

  • 6379 是redis端口: 映射云服务器端口6371 - 6376

  • 16379 是redis集群TCP端口: 映射云服务器端口16371 - 16376

  • –net 使用自定义redis网络

  • –ip 是本容器绑定的ip: 172.38.0.11 - 16

  • –name 容器名字: redis-1 - 6

  • redis-server /etc/redis/redis.conf 追加命令,通过redis.conf启动

启动方式一(不推荐):

一个一个启动

启动第一个redis节点

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docker run -p 6371:6379 -p 16371:16379 --name redis-1 \
-v /var/redisNode/node-1/data:/data \
-v /var/redisNode/node-1/conf/redis.conf:/etc/redis/redis.conf \
-d --net redis --ip 172.38.0.11 redis:5.0.9-alpine3.11 redis-server /etc/redis/redis.conf

如上,类似的,递增ip、port和name,启动其它五个redis节点,太麻烦了,可以通过编写脚本来一次启动6个服务

启动方式二(推荐):

编写启动脚本,6个全部启动

创建start_redis_script.sh文件

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touch start_redis_script.sh

编写脚本内容

vim start_redis_script.sh,写入下面的内容

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for port in $(seq	1 6); \
do \
echo ${port}
docker run -p 637${port}:6379 -p 1637${port}:16379 --name redis-${port} \
-v /var/redisNode/node-${port}/data:/data \
-v /var/redisNode/node-${port}/conf/redis.conf:/etc/redis/redis.conf \
-d --net redis --ip 172.38.0.1${port} redis:5.0.9-alpine3.11 redis-server /etc/redis/redis.conf; \
done

赋予start_redis_script.sh文件可执行权限

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[root@--- ~]# chmod o+x start_redis_script.sh

执行脚本,启动redis容器服务

./start_redis_script.sh

查看redis容器

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[root@--- var]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
0d3c18b61098 redis:5.0.9-alpine3.11 "docker-entrypoint.s…" 2 seconds ago Up 1 second 0.0.0.0:6376->6379/tcp, 0.0.0.0:16376->16379/tcp redis-6
ee896fb093da redis:5.0.9-alpine3.11 "docker-entrypoint.s…" 13 seconds ago Up 12 seconds 0.0.0.0:6375->6379/tcp, 0.0.0.0:16375->16379/tcp redis-5
a83bb7b16dff redis:5.0.9-alpine3.11 "docker-entrypoint.s…" 48 seconds ago Up 47 seconds 0.0.0.0:6374->6379/tcp, 0.0.0.0:16374->16379/tcp redis-4
ffe4c9619bed redis:5.0.9-alpine3.11 "docker-entrypoint.s…" 58 seconds ago Up 57 seconds 0.0.0.0:6373->6379/tcp, 0.0.0.0:16373->16379/tcp redis-3
a316a31e273f redis:5.0.9-alpine3.11 "docker-entrypoint.s…" About a minute ago Up About a minute 0.0.0.0:6372->6379/tcp, 0.0.0.0:16372->16379/tcp redis-2
71c072f57c29 redis:5.0.9-alpine3.11 "docker-entrypoint.s…" 9 minutes ago Up 9 minutes 0.0.0.0:6371->6379/tcp, 0.0.0.0:16371->16379/tcp redis-1
[root@--- var]#

创建集群

进入任意一个 Redis 实例

进入redis-1容器

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docker exec -it redis-1 /bin/sh

创建集群主节点

  • Redis Cluster最低要求是3个主节点

  • –cluster-replicas 参数为数字,1表示每个主节点需要1个从节点。

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# redis-1 容器内
/data # redis-cli --cluster create 172.38.0.11:6379 172.38.0.12:6379 172.38.0.13:6379 172.38.0.14:6379 172.38.0.15:6379 172.38.0.16:6379 --cluster-replicas 1

测试连接集群

连接集群 -c

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# redis-1 容器内
/data # redis-cli -c
127.0.0.1:6379>

查看集群信息 cluster info

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127.0.0.1:6379> cluster info
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:292
cluster_stats_messages_pong_sent:307
cluster_stats_messages_sent:599
cluster_stats_messages_ping_received:302
cluster_stats_messages_pong_received:292
cluster_stats_messages_meet_received:5
cluster_stats_messages_received:599
127.0.0.1:6379>

查看节点信息 cluster nodes

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127.0.0.1:6379> cluster nodes
b3f737d0d77b823794087011f1501fd43a2ea316 172.38.0.12:6379@16379 master - 0 1633332452560 2 connected 5461-10922
506ff2bf1020d468e7d7a81ddbfb616a7e9b7d96 172.38.0.13:6379@16379 master - 0 1633332453000 3 connected 10923-16383
7f57f8a01493fa9e46e24ad8a9e46995634f7442 172.38.0.15:6379@16379 slave 70ebdca0264c079bb2c33452e6388d37706da282 0 1633332453000 5 connected
70ebdca0264c079bb2c33452e6388d37706da282 172.38.0.11:6379@16379 myself,master - 0 1633332452000 1 connected 0-5460
f839b6924977e99d3b74324f2ef70b3678e1a257 172.38.0.14:6379@16379 slave 506ff2bf1020d468e7d7a81ddbfb616a7e9b7d96 0 1633332453762 4 connected
bbc4dd0639b90e9ddfb5cef278be04a24276cbdb 172.38.0.16:6379@16379 slave b3f737d0d77b823794087011f1501fd43a2ea316 0 1633332453000 6 connected
127.0.0.1:6379>

测试主从节点替换

验证高可用

set一个值,然后停掉对应的服务,再次get,验证是否可以得到值

set值

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127.0.0.1:6379> set a b
-> Redirected to slot [15495] located at 172.38.0.13:6379
OK
172.38.0.13:6379>

发现a值设置在了172.38.0.13容器上,然后我们试着去停掉redis-3容器的服务,然后再次get,看一下结果

get值

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172.38.0.13:6379> get a
"b"
172.38.0.13:6379>

停止redis-3容器里的redis服务

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docker stop redis-3

再次取值

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172.38.0.13:6379> get a
Could not connect to Redis at 172.38.0.13:6379: Host is unreachable
(34.04s)
not connected> exit
# 重连集群
/data # redis-cli -c
127.0.0.1:6379> get a
-> Redirected to slot [15495] located at 172.38.0.14:6379
"b"
172.38.0.14:6379>

发现a值被存储到了172.38.0.14机器上,172.38.0.14172.38.0.13的从节点,当主节点172.38.0.13发生故障时,自动替换到172.38.0.13,这就是高可用

查看redis节点服务信息

发现172.38.0.13节点fail, 172.38.0.14变成master

docker搭建redis集群完成🎈🎈


我是 甜点cc

热爱前端,也喜欢专研各种跟本职工作关系不大的技术,技术、产品兴趣广泛且浓厚,等待着一个创业机会。本号主要致力于分享个人经验总结,希望可以给一小部分人一些微小帮助。

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