docker 实现redis集群搭建

摘要：接触docker以来，似乎养成了一种习惯，安装什么应用软件都想往docker方向做，今天就想来尝试下使用docker搭建redis集群。

首先，我们需要理论知识：Redis Cluster是Redis的分布式解决方案，它解决了redis单机中心化的问题，分布式数据库——首要解决把整个数据集按照分区规则映射到多个节点的问题。

这边就需要知道分区规则——哈希分区规则。Redis Cluster 采用哈希分区规则中的虚拟槽分区。所有的键根据哈希函数映射到0 ～ 16383，计算公式：slot = CRC16(key)&16383。每一个节点负责维护一部分槽以及槽所映射的键值数据。

一、创建redis docker基础镜像

1. 下载redis安装包，使用版本为：4.0.1
   

   [root@etcd1 tmp]# mkdir docker_redis_cluster
   [root@etcd1 tmp]# cd docker_redis_cluster/
   [root@etcd2 docker_redis_cluster]# wget http://download.redis.io/releases/redis-4.0.1.tar.gz

2. 解压编译redis
   

   [root@etcd1 docker_redis_cluster]# tar zxvf redis-4.0.1.tar.gz
   [root@etcd1 docker_redis_cluster]# cd redis-4.0.1/
   [root@etcd1 redis-4.0.1]# make

3. 修改redis配置
   

   [root@etcd3 redis-4.0.1]# vi /tmp/docker_redis_cluster/redis-4.0.1/redis.conf
   

   　　
   修改bind ip地址

   # ~~~ WARNING ~~~ If the computer running Redis is directly exposed to the
   # internet, binding to all the interfaces is dangerous and will expose the
   # instance to everybody on the internet. So by default we uncomment the
   # following bind directive, that will force Redis to listen only into
   # the IPv4 lookback interface address (this means Redis will be able to
   # accept connections only from clients running into the same computer it
   # is running).
   #
   # IF YOU ARE SURE YOU WANT YOUR INSTANCE TO LISTEN TO ALL THE INTERFACES
   # JUST COMMENT THE FOLLOWING LINE.
   # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   #bind 127.0.0.1
   bind 0.0.0.0
   

   　　

   将守护进程yes改成no

   # By default Redis does not run as a daemon. Use 'yes' if you need it.
   # Note that Redis will write a pid file in /var/run/redis.pid when daemonized.
   daemonize no
   

   　　
   将密码项注释去掉，添加新密码

   # Warning: since Redis is pretty fast an outside user can try up to
   # 150k passwords per second against a good box. This means that you should
   # use a very strong password otherwise it will be very easy to break.
   #
   # requirepass foobared
   

   　　修改为

   # Warning: since Redis is pretty fast an outside user can try up to
   # 150k passwords per second against a good box. This means that you should
   # use a very strong password otherwise it will be very easy to break.
   #
   requirepass 123456
   

   
   因为配置了密码，所以，配置中另外一处主从连接也需要配置密码

   # If the master is password protected (using the "requirepass" configuration
   # directive below) it is possible to tell the slave to authenticate before
   # starting the replication synchronization process, otherwise the master will
   # refuse the slave request.
   #
   # masterauth 
   

   　　修改为

   # If the master is password protected (using the "requirepass" configuration
   # directive below) it is possible to tell the slave to authenticate before
   # starting the replication synchronization process, otherwise the master will
   # refuse the slave request.
   #
   # masterauth 
   masterauth 123456
   

   　　

   　　
   
   设置日志路径

   # Specify the log file name. Also the empty string can be used to force
   # Redis to log on the standard output. Note that if you use standard
   # output for logging but daemonize, logs will be sent to /dev/null
   logfile "/var/log/redis/redis-server.log"
   

   　　
   配置集群相关信息，去掉配置项前面的注释

   # Normal Redis instances can't be part of a Redis Cluster; only nodes that are
   # started as cluster nodes can. In order to start a Redis instance as a
   # cluster node enable the cluster support uncommenting the following:
   #
   cluster-enabled yes
   
   # Every cluster node has a cluster configuration file. This file is not
   # intended to be edited by hand. It is created and updated by Redis nodes.
   # Every Redis Cluster node requires a different cluster configuration file.
   # Make sure that instances running in the same system do not have
   # overlapping cluster configuration file names.
   #
   cluster-config-file nodes-6379.conf
   
   # Cluster node timeout is the amount of milliseconds a node must be unreachable
   # for it to be considered in failure state.
   # Most other internal time limits are multiple of the node timeout.
   #
   cluster-node-timeout 15000

4. 镜像制作
   

   [root@etcd3 docker_redis_cluster]# cd /tmp/docker_redis_cluster
   [root@etcd3 docker_redis_cluster]# vi Dockerfile 
   # Redis
   # Version 4.0.1
   
   FROM Centos:7
   
   ENV REDIS_HOME /usr/local
   
   ADD redis-4.0.1.tar.gz / # 本地的redis源码包复制到镜像的根路径下，ADD命令会在复制过后自动解包。被复制的对象必须处于Dockerfile同一路径，且ADD后面必须使用相对路径
   RUN mkdir -p $REDIS_HOME/redis # 创建安装目录
   ADD redis-4.0.1/redis.conf $REDIS_HOME/redis/  # 将一开始编译产生并修改后的配置复制到安装目录
   
   RUN yum -y update  # 更新yum源
   RUN yum install -y gcc make # 安装编译需要的工具
   
   WORKDIR /redis-4.0.1
   RUN make
   RUN mv /redis-4.0.1/src/redis-server  $REDIS_HOME/redis/   # 编译后，容器中只需要可执行文件redis-server
   
   WORKDIR /
   RUN rm -rf /redis-4.0.1          # 删除解压文件
   
   RUN yum remove -y gcc make   # 安装编译完成之后，可以删除多余的gcc跟make
   
   VOLUME ["/var/log/redis"]  # 添加数据卷
   
   EXPOSE 6379   # 暴露6379端口，也可以暴露多个端口，这里不需要如此
   

   　　
   PS.当前镜像非可执行镜像，所以没有包含ENTRYPOINT和CMD指令

5. 构建镜像
   

   # 切换中国源
   [root@etcd3 docker_redis_cluster]# vi /etc/docker/daemon.json
   {
     "registry-mirrors": ["https://registry.docker-cn.com"]
   }
   
   # 编译
   [root@etcd3 docker_redis_cluster]# docker build -t hakimdstx/cluster-redis .
   ...
   
   Complete!
    ---> 546cb1d34f35
   Removing intermediate container 6b6556c5f28d
   Step 14/15 : VOLUME /var/log/redis
    ---> Running in 05a6642e4046
    ---> e7e2fb8676b2
   Removing intermediate container 05a6642e4046
   Step 15/15 : EXPOSE 6379
    ---> Running in 5d7abe1709e2
    ---> 2d1322475f79
   Removing intermediate container 5d7abe1709e2
   Successfully built 2d1322475f79
   

   　　
   镜像制作完成，制作中间可能会报： Public key for glibc-headers-2.17-222.el7.x86_64.rpm is not installed 错误，这时候需要在镜像配置中添加一句命令：

   ...
   RUN rpm --import /etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-7
   RUN yum -y update  # 更新yum源
   RUN yum install -y gcc make # 安装编译需要的工具

   
   查看镜像：
   

   [root@etcd3 docker_redis_cluster]# docker images
   REPOSITORY                                  TAG                 IMAGE ID            CREATED             SIZE
   hakimdstx/cluster-redis                     4.0.1               1fca5a08a4c7        14 seconds ago      435 MB
   centos                                      7                   49f7960eb7e4        2 days ago          200 MB
   

   　

   以上，redis 基础镜像就制作完成了

二、制作redis节点镜像

1. 基于此前制作的redis基础镜像创建一个redis节点镜像
   

   [root@etcd3 tmp]# mkdir docker_redis_nodes
   [root@etcd3 tmp]# cd docker_redis_nodes
   [root@etcd3 docker_redis_nodes]# vi Dockerfile
   # Redis Node
   # Version 4.0.1
   
   FROM hakimdstx/cluster-redis:4.0.1
   
   # MAINTAINER_INFO
   MAINTAINER hakim [email protected]
   
   ENTRYPOINT ["/usr/local/redis/redis-server", "/usr/local/redis/redis.conf"]
   

   　　

2. 构建redis节点镜像
   

   [root@etcd3 docker_redis_nodes]# docker build -t hakimdstx/nodes-redis:4.0.1 .       
   Sending build context to Docker daemon 2.048 kB
   Step 1/3 : FROM hakimdstx/cluster-redis:4.0.1
    ---> 1fca5a08a4c7
   Step 2/3 : MAINTAINER hakim [email protected]
    ---> Running in cc6e07eb2c36
    ---> 55769d3bfacb
   Removing intermediate container cc6e07eb2c36
   Step 3/3 : ENTRYPOINT /usr/local/redis/redis-server /usr/local/redis/redis.conf
    ---> Running in f5dedf88f6f6
    ---> da64da483559
   Removing intermediate container f5dedf88f6f6
   Successfully built da64da483559
   

   　　

3. 查看镜像
   

   [root@etcd3 docker_redis_nodes]# docker images
   REPOSITORY                                  TAG                 IMAGE ID            CREATED             SIZE
   hakimdstx/nodes-redis                       4.0.1               da64da483559        51 seconds ago      435 MB
   hakimdstx/cluster-redis                     4.0.1               1fca5a08a4c7        9 minutes ago       435 MB
   centos                                      7                   49f7960eb7e4        2 days ago          200 MB
   

   　　

三、运行redis集群

1. 运行redis容器
   

   [root@etcd3 docker_redis_nodes]# docker run -d --name redis-6379 -p 6379:6379 hakimdstx/nodes-redis:4.0.1   
   1673a7d859ea83257d5bf14d82ebf717fb31405c185ce96a05f597d8f855aa7d
   [root@etcd3 docker_redis_nodes]# docker run -d --name redis-6380 -p 6380:6379 hakimdstx/nodes-redis:4.0.1    
   df6ebce6f12a6f3620d5a29adcfbfa7024e906c3af48f21fa7e1fa524a361362
   [root@etcd3 docker_redis_nodes]# docker run -d --name redis-6381 -p 6381:6379 hakimdstx/nodes-redis:4.0.1   
   396e174a1d9235228b3c5f0266785a12fb1ea49efc7ac755c9e7590e17aa1a79
   [root@etcd3 docker_redis_nodes]# docker run -d --name redis-6382 -p 6382:6379 hakimdstx/nodes-redis:4.0.1 
   d9a71dd3f969094205ffa7596c4a04255575cdd3acca2d47fe8ef7171a3be528
   [root@etcd3 docker_redis_nodes]# docker run -d --name redis-6383 -p 6383:6379 hakimdstx/nodes-redis:4.0.1 
   73e4f843d8cb28595456e21b04f97d18ce1cdf8dc56d1150844ba258a3781933
   [root@etcd3 docker_redis_nodes]# docker run -d --name redis-6384 -p 6384:6379 hakimdstx/nodes-redis:4.0.1 
   10c62aafa4dac47220daf5bf3cec84406f086d5261599b54ec6c56bb7da97d6d

2. 查看容器信息
   

   [root@etcd3 redis]# docker ps
   CONTAINER ID        IMAGE                         COMMAND                  CREATED             STATUS              PORTS                    NAMES
   10c62aafa4da        hakimdstx/nodes-redis:4.0.1   "/usr/local/redis/..."   3 seconds ago       Up 2 seconds        0.0.0.0:6384->6379/tcp   redis-6384
   73e4f843d8cb        hakimdstx/nodes-redis:4.0.1   "/usr/local/redis/..."   12 seconds ago      Up 10 seconds       0.0.0.0:6383->6379/tcp   redis-6383
   d9a71dd3f969        hakimdstx/nodes-redis:4.0.1   "/usr/local/redis/..."   20 seconds ago      Up 18 seconds       0.0.0.0:6382->6379/tcp   redis-6382
   396e174a1d92        hakimdstx/nodes-redis:4.0.1   "/usr/local/redis/..."   3 days ago          Up 3 days           0.0.0.0:6381->6379/tcp   redis-6381
   df6ebce6f12a        hakimdstx/nodes-redis:4.0.1   "/usr/local/redis/..."   3 days ago          Up 3 days           0.0.0.0:6380->6379/tcp   redis-6380
   1673a7d859ea        hakimdstx/nodes-redis:4.0.1   "/usr/local/redis/..."   3 days ago          Up 3 days           0.0.0.0:6379->6379/tcp   redis-6379
   

   　　

3. 运行 redis 集群容器
   
   1. 通过远程连接，查看redis  info replication 信息

      [root@etcd2 ~]#  redis-cli -h 192.168.10.52 -p 6379
      192.168.10.52:6379> info replication
      NOAUTH Authentication required.
      192.168.10.52:6379> auth 123456
      OK
      192.168.10.52:6379> info replication
      # Replication
      role:master
      connected_slaves:0
      master_replid:2f0a7b50aed699fa50a79f3f7f9751a070c50ee9
      master_replid2:0000000000000000000000000000000000000000
      master_repl_offset:0
      second_repl_offset:-1
      repl_backlog_active:0
      repl_backlog_size:1048576
      repl_backlog_first_byte_offset:0
      repl_backlog_histlen:0
      192.168.10.52:6379>
      # 其余基本信息同上 
      

      　　可以看到，客户连接之后，因为之前设置了密码，所以需要先输入密码认证，否则就无法通过。以上信息，我们知道所有的redis都是master角色 role:master ，这显然不是我们所希望的。

   2. 在配置之前我们需要查看所有容器当前的IP地址
      

      [root@etcd3 redis]# docker ps
      CONTAINER ID        IMAGE                         COMMAND                  CREATED             STATUS              PORTS                    NAMES
      10c62aafa4da        hakimdstx/nodes-redis:4.0.1   "/usr/local/redis/..."   3 seconds ago       Up 2 seconds        0.0.0.0:6384->6379/tcp   redis-6384
      73e4f843d8cb        hakimdstx/nodes-redis:4.0.1   "/usr/local/redis/..."   12 seconds ago      Up 10 seconds       0.0.0.0:6383->6379/tcp   redis-6383
      d9a71dd3f969        hakimdstx/nodes-redis:4.0.1   "/usr/local/redis/..."   20 seconds ago      Up 18 seconds       0.0.0.0:6382->6379/tcp   redis-6382
      396e174a1d92        hakimdstx/nodes-redis:4.0.1   "/usr/local/redis/..."   3 days ago          Up 3 days           0.0.0.0:6381->6379/tcp   redis-6381
      df6ebce6f12a        hakimdstx/nodes-redis:4.0.1   "/usr/local/redis/..."   3 days ago          Up 3 days           0.0.0.0:6380->6379/tcp   redis-6380
      1673a7d859ea        hakimdstx/nodes-redis:4.0.1   "/usr/local/redis/..."   3 days ago          Up 3 days           0.0.0.0:6379->6379/tcp   redis-6379
      [root@etcd3 redis]# 
      [root@etcd3 redis]# docker inspect 10c62aafa4da 73e4f843d8cb d9a71dd3f969 396e174a1d92 df6ebce6f12a 1673a7d859ea | grep IPA
                  "SecondaryIPAddresses": null,
                  "IPAddress": "172.17.0.7",
                          "IPAMConfig": null,
                          "IPAddress": "172.17.0.7",
                  "SecondaryIPAddresses": null,
                  "IPAddress": "172.17.0.6",
                          "IPAMConfig": null,
                          "IPAddress": "172.17.0.6",
                  "SecondaryIPAddresses": null,
                  "IPAddress": "172.17.0.5",
                          "IPAMConfig": null,
                          "IPAddress": "172.17.0.5",
                  "SecondaryIPAddresses": null,
                  "IPAddress": "172.17.0.4",
                          "IPAMConfig": null,
                          "IPAddress": "172.17.0.4",
                  "SecondaryIPAddresses": null,
                  "IPAddress": "172.17.0.3",
                          "IPAMConfig": null,
                          "IPAddress": "172.17.0.3",
                  "SecondaryIPAddresses": null,
                  "IPAddress": "172.17.0.2",
                          "IPAMConfig": null,
                          "IPAddress": "172.17.0.2",

      
      

      可以知道：  redis-6379：172.17.0.2，redis-6380：172.17.0.3，redis-6381：172.17.0.4，redis-6382：172.17.0.5，redis-6383：172.17.0.6，redis-6384：172.17.0.7  

   3. 配置redis
   4. ert
4. Redis Cluster 的集群感知操作
   

   //集群(cluster)  
   CLUSTER INFO 打印集群的信息  
   CLUSTER NODES 列出集群当前已知的所有节点（node），以及这些节点的相关信息。   
     
   //节点(node)  
   CLUSTER MEET   将 ip 和 port 所指定的节点添加到集群当中，让它成为集群的一份子。  
   CLUSTER FORGET  从集群中移除 node_id 指定的节点。  
   CLUSTER REPLICATE  将当前节点设置为 node_id 指定的节点的从节点。  
   CLUSTER SAVECONFIG 将节点的配置文件保存到硬盘里面。   
     
   //槽(slot)  
   CLUSTER ADDSLOTS  [slot ...] 将一个或多个槽（slot）指派（assign）给当前节点。  
   CLUSTER DELSLOTS  [slot ...] 移除一个或多个槽对当前节点的指派。  
   CLUSTER FLUSHSLOTS 移除指派给当前节点的所有槽，让当前节点变成一个没有指派任何槽的节点。  
   CLUSTER SETSLOT  NODE  将槽 slot 指派给 node_id 指定的节点，如果槽已经指派给另一个节点，那么先让另一个节点删除该槽>，然后再进行指派。  
   CLUSTER SETSLOT  MIGRATING  将本节点的槽 slot 迁移到 node_id 指定的节点中。  
   CLUSTER SETSLOT  IMPORTING  从 node_id 指定的节点中导入槽 slot 到本节点。  
   CLUSTER SETSLOT  STABLE 取消对槽 slot 的导入（import）或者迁移（migrate）。   
     
   //键 (key)  
   CLUSTER KEYSLOT  计算键 key 应该被放置在哪个槽上。  
   CLUSTER COUNTKEYSINSLOT  返回槽 slot 目前包含的键值对数量。  
   CLUSTER GETKEYSINSLOT   返回 count 个 slot 槽中的键。  
   

   　　
   redis 集群感知：节点握手——是指一批运行在集群模式的节点通过Gossip协议彼此通信，达到感知对方的过程。
    

   192.168.10.52:6379> CLUSTER MEET 172.17.0.3 6379
   OK
   192.168.10.52:6379> CLUSTER MEET 172.17.0.4 6379
   OK
   192.168.10.52:6379> CLUSTER MEET 172.17.0.5 6379
   OK
   192.168.10.52:6379> CLUSTER MEET 172.17.0.6 6379
   OK
   192.168.10.52:6379> CLUSTER MEET 172.17.0.7 6379
   OK
   192.168.10.52:6379>  CLUSTER NODES
   54cb5c2eb8e5f5aed2d2f7843f75a9284ef6785c 172.17.0.3:6379@16379 master - 0 1528697195600 1 connected
   f45f9109f2297a83b1ac36f9e1db5e70bbc174ab 172.17.0.4:6379@16379 master - 0 1528697195600 0 connected
   ae86224a3bc29c4854719c83979cb7506f37787a 172.17.0.7:6379@16379 master - 0 1528697195600 5 connected
   98aebcfe42d8aaa8a3375e4a16707107dc9da683 172.17.0.6:6379@16379 master - 0 1528697194000 4 connected
   0bbdc4176884ef0e3bb9b2e7d03d91b0e7e11f44 172.17.0.5:6379@16379 master - 0 1528697194995 3 connected
   760e4d0039c5ac13d04aa4791c9e6dc28544d7c7 172.17.0.2:6379@16379 myself,master - 0 1528697195000 2 connected
   

   　　
   当前已经使这六个节点组成集群，但是现在还无法工作，因为集群节点还没有分配槽（slot）。

   1. 分配槽信息
      查看172.17.0.2:6379 的槽个数
      

      192.168.10.52:6379> CLUSTER INFO
      cluster_state:fail
      cluster_slots_assigned:0    # 被分配槽的个数为0
      cluster_slots_ok:0
      cluster_slots_pfail:0
      cluster_slots_fail:0
      cluster_known_nodes:6
      cluster_size:0
      cluster_current_epoch:5
      cluster_my_epoch:2
      cluster_stats_messages_ping_sent:260418
      cluster_stats_messages_pong_sent:260087
      cluster_stats_messages_meet_sent:10
      cluster_stats_messages_sent:520515
      cluster_stats_messages_ping_received:260086
      cluster_stats_messages_pong_received:260328
      cluster_stats_messages_meet_received:1
      cluster_stats_messages_received:520415
      

      　　
      上面看到集群状态是失败的，原因是槽位没有分配，而且需要一次性把16384个槽位完全分配了，集群才可用。

   2. 分配槽位

      分配槽位： CLUSTER ADDSLOTS  槽位，一个槽位只能分配一个节点，16384个槽位必须分配完，不同节点不能冲突。
      所以通过脚本进行分配 addslots.sh：
      

      #!/bin/bash
      # node1 192.168.10.52   172.17.0.2
      n=0
      for ((i=n;i<=5461;i++))
      do
         /usr/local/bin/redis-cli -h 192.168.10.52 -p 6379 -a 123456  CLUSTER ADDSLOTS $i
      done
      
      
      # node2 192.168.10.52    172.17.0.3
      n=5462
      for ((i=n;i<=10922;i++))
      do
         /usr/local/bin/redis-cli -h 192.168.10.52 -p 6380 -a 123456 CLUSTER ADDSLOTS $i
      done
      
      
      # node3 192.168.10.52    172.17.0.4
      n=10923
      for ((i=n;i<=16383;i++))
      do
         /usr/local/bin/redis-cli -h 192.168.10.52 -p 6381 -a 123456 CLUSTER ADDSLOTS $i
      done
      

      　　
      其中， -a 123456  表示需要输入的密码。

      192.168.10.52:6379> CLUSTER INFO
      cluster_state:fail　　　　       # 集群状态为失败
      cluster_slots_assigned:16101    # 没有完全分配结束
      cluster_slots_ok:16101
      cluster_slots_pfail:0
      cluster_slots_fail:0
      cluster_known_nodes:6
      cluster_size:3
      cluster_current_epoch:5
      cluster_my_epoch:2
      cluster_stats_messages_ping_sent:266756
      cluster_stats_messages_pong_sent:266528
      cluster_stats_messages_meet_sent:10
      cluster_stats_messages_sent:533294
      cluster_stats_messages_ping_received:266527
      cluster_stats_messages_pong_received:266666
      cluster_stats_messages_meet_received:1
      cluster_stats_messages_received:533194
      
      192.168.10.52:6379> CLUSTER INFO
      cluster_state:ok                   # 集群状态为成功
      cluster_slots_assigned:16384       # 已经全部分配完成
      cluster_slots_ok:16384
      cluster_slots_pfail:0
      cluster_slots_fail:0
      cluster_known_nodes:6
      cluster_size:3
      cluster_current_epoch:5
      cluster_my_epoch:2
      cluster_stats_messages_ping_sent:266757
      cluster_stats_messages_pong_sent:266531
      cluster_stats_messages_meet_sent:10
      cluster_stats_messages_sent:533298
      cluster_stats_messages_ping_received:266530
      cluster_stats_messages_pong_received:266667
      cluster_stats_messages_meet_received:1
      cluster_stats_messages_received:533198
      

      　　

      综上可知，当全部槽位分配完成之后，集群还是可行的，如果我们手欠，移除一个槽位，那么集群就立马那不行了，自己去试试吧 ——CLUSTER DELSLOTS 0 。

5. 如何变成高可用性
   以上我们已经搭建了一套完整的可运行的redis cluster，但是每个节点都是单点，这样子可能出现，一个节点挂掉，整个集群因为槽位分配不完全而崩溃，因此，我们需要为每个节点配置副本备用节点。
   前面我们已经提前创建了6个备用节点，搭建集群花了三个，因此还有剩下三个直接可以用来做备用副本。
   

   192.168.10.52:6379> 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   # 总共6个节点
   cluster_size:3          # 集群为 3 个节点
   cluster_current_epoch:5
   cluster_my_epoch:2
   cluster_stats_messages_ping_sent:270127
   cluster_stats_messages_pong_sent:269893
   cluster_stats_messages_meet_sent:10
   cluster_stats_messages_sent:540030
   cluster_stats_messages_ping_received:269892
   cluster_stats_messages_pong_received:270037
   cluster_stats_messages_meet_received:1
   cluster_stats_messages_received:539930
   

   　　
   查看所有节点的id

   192.168.10.52:6379> CLUSTER NODES
   54cb5c2eb8e5f5aed2d2f7843f75a9284ef6785c 172.17.0.3:6379@16379 master - 0 1528704114535 1 connected 5462-10922
   f45f9109f2297a83b1ac36f9e1db5e70bbc174ab 172.17.0.4:6379@16379 master - 0 1528704114000 0 connected 10923-16383
   ae86224a3bc29c4854719c83979cb7506f37787a 172.17.0.7:6379@16379 master - 0 1528704114023 5 connected
   98aebcfe42d8aaa8a3375e4a16707107dc9da683 172.17.0.6:6379@16379 master - 0 1528704115544 4 connected
   0bbdc4176884ef0e3bb9b2e7d03d91b0e7e11f44 172.17.0.5:6379@16379 master - 0 1528704114836 3 connected
   760e4d0039c5ac13d04aa4791c9e6dc28544d7c7 172.17.0.2:6379@16379 myself,master - 0 1528704115000 2 connected 0-5461
   

   　　
   编写脚本，添加副本节点

   [root@etcd2 tmp]# vi addSlaveNodes.sh 
   #!/bin/bash
   
   /usr/local/bin/redis-cli -h 192.168.10.52 -p 6382 -a 123456 CLUSTER REPLICATE 760e4d0039c5ac13d04aa4791c9e6dc28544d7c7
   
   /usr/local/bin/redis-cli -h 192.168.10.52 -p 6383 -a 123456 CLUSTER REPLICATE 54cb5c2eb8e5f5aed2d2f7843f75a9284ef6785c
   
   /usr/local/bin/redis-cli -h 192.168.10.52 -p 6384 -a 123456 CLUSTER REPLICATE f45f9109f2297a83b1ac36f9e1db5e70bbc174ab
   

   　　
   注意：1、作为备用的节点，必须是未分配槽位的，否者会操作失败 (error) ERR To set a master the node must be empty and without assigned slots 。
              2、需要从需要添加的节点上面执行操作，CLUSTER REPLICATE [node_id]  ，使当前节点成为 node_id 的副本节点。
              3、添加从节点（集群复制）： 复制的原理和单机的Redis复制原理一样，区别是：集群下的从节点也需要运行在cluster模式下，要先添加到集群里面，再做复制。
   查看所有节点信息：

   192.168.10.52:6379> CLUSTER NODES
   54cb5c2eb8e5f5aed2d2f7843f75a9284ef6785c 172.17.0.3:6379@16379 master - 0 1528705604149 1 connected 5462-10922
   f45f9109f2297a83b1ac36f9e1db5e70bbc174ab 172.17.0.4:6379@16379 master - 0 1528705603545 0 connected 10923-16383
   ae86224a3bc29c4854719c83979cb7506f37787a 172.17.0.7:6379@16379 slave f45f9109f2297a83b1ac36f9e1db5e70bbc174ab 0 1528705603144 5 connected
   98aebcfe42d8aaa8a3375e4a16707107dc9da683 172.17.0.6:6379@16379 slave 54cb5c2eb8e5f5aed2d2f7843f75a9284ef6785c 0 1528705603000 4 connected
   0bbdc4176884ef0e3bb9b2e7d03d91b0e7e11f44 172.17.0.5:6379@16379 slave 760e4d0039c5ac13d04aa4791c9e6dc28544d7c7 0 1528705603000 3 connected
   760e4d0039c5ac13d04aa4791c9e6dc28544d7c7 172.17.0.2:6379@16379 myself,master - 0 1528705602000 2 connected 0-5461
   

   　　
   可以看到我们现在实现了三主三从的一个高可用集群。

6. 高可用测试——故障转移
   查看当前运行状态：
   

   192.168.10.52:6379> CLUSTER NODES
   54cb5c2eb8e5f5aed2d2f7843f75a9284ef6785c 172.17.0.3:6379@16379 master - 0 1528705604149 1 connected 5462-10922
   f45f9109f2297a83b1ac36f9e1db5e70bbc174ab 172.17.0.4:6379@16379 master - 0 1528705603545 0 connected 10923-16383
   ae86224a3bc29c4854719c83979cb7506f37787a 172.17.0.7:6379@16379 slave f45f9109f2297a83b1ac36f9e1db5e70bbc174ab 0 1528705603144 5 connected
   98aebcfe42d8aaa8a3375e4a16707107dc9da683 172.17.0.6:6379@16379 slave 54cb5c2eb8e5f5aed2d2f7843f75a9284ef6785c 0 1528705603000 4 connected
   0bbdc4176884ef0e3bb9b2e7d03d91b0e7e11f44 172.17.0.5:6379@16379 slave 760e4d0039c5ac13d04aa4791c9e6dc28544d7c7 0 1528705603000 3 connected
   760e4d0039c5ac13d04aa4791c9e6dc28544d7c7 172.17.0.2:6379@16379 myself,master - 0 1528705602000 2 connected 0-5461
   

   　　以上，运行正常
   
   尝试关闭一个master，选择端口为6380的容器，停掉之后：

   192.168.10.52:6379> CLUSTER NODES
   54cb5c2eb8e5f5aed2d2f7843f75a9284ef6785c 172.17.0.3:6379@16379 master,fail - 1528706408935 1528706408000 1 connected 5462-10922
   f45f9109f2297a83b1ac36f9e1db5e70bbc174ab 172.17.0.4:6379@16379 master - 0 1528706463000 0 connected 10923-16383
   ae86224a3bc29c4854719c83979cb7506f37787a 172.17.0.7:6379@16379 slave f45f9109f2297a83b1ac36f9e1db5e70bbc174ab 0 1528706462980 5 connected
   98aebcfe42d8aaa8a3375e4a16707107dc9da683 172.17.0.6:6379@16379 slave 54cb5c2eb8e5f5aed2d2f7843f75a9284ef6785c 0 1528706463000 4 connected
   0bbdc4176884ef0e3bb9b2e7d03d91b0e7e11f44 172.17.0.5:6379@16379 slave 760e4d0039c5ac13d04aa4791c9e6dc28544d7c7 0 1528706463985 3 connected
   760e4d0039c5ac13d04aa4791c9e6dc28544d7c7 172.17.0.2:6379@16379 myself,master - 0 1528706462000 2 connected 0-5461
   192.168.10.52:6379> 
   192.168.10.52:6379> CLUSTER INFO
   cluster_state:fail
   cluster_slots_assigned:16384
   cluster_slots_ok:10923
   cluster_slots_pfail:0
   cluster_slots_fail:5461
   cluster_known_nodes:6
   cluster_size:3
   cluster_current_epoch:5
   cluster_my_epoch:2
   cluster_stats_messages_ping_sent:275112
   cluster_stats_messages_pong_sent:274819
   cluster_stats_messages_meet_sent:10
   cluster_stats_messages_fail_sent:5
   cluster_stats_messages_sent:549946
   cluster_stats_messages_ping_received:274818
   cluster_stats_messages_pong_received:275004
   cluster_stats_messages_meet_received:1
   cluster_stats_messages_fail_received:1
   cluster_stats_messages_received:549824
   

   　　以上，发现整个集群都失败了，从节点没有自动升级为主节点，怎么回事？？
   重启停掉的容器，经排查日志信息 [root@df6ebce6f12a /]# tail -f /var/log/redis/redis-server.log  ：

   1:S 11 Jun 09:57:46.712 # Cluster state changed: ok
   1:S 11 Jun 09:57:46.718 * (Non critical) Master does not understand REPLCONF listening-port: -NOAUTH Authentication required.
   1:S 11 Jun 09:57:46.718 * (Non critical) Master does not understand REPLCONF capa: -NOAUTH Authentication required.
   1:S 11 Jun 09:57:46.719 * Partial resynchronization not possible (no cached master)
   1:S 11 Jun 09:57:46.719 # Unexpected reply to PSYNC from master: -NOAUTH Authentication required.
   1:S 11 Jun 09:57:46.719 * Retrying with SYNC...
   1:S 11 Jun 09:57:46.719 # MASTER aborted replication with an error: NOAUTH Authentication required.
   1:S 11 Jun 09:57:46.782 * Connecting to MASTER 172.17.0.6:6379
   1:S 11 Jun 09:57:46.782 * MASTER <-> SLAVE sync started
   1:S 11 Jun 09:57:46.782 * Non blocking connect for SYNC fired the event.

   
   可以看到，主从之间访问需要auth，之前忘记了配置 redis.conf  中的 # masterauth  ，所以导致主从之间无法通讯。修改配置之后，自动故障转移正常。

   
   有时候需要实施人工故障转移：
   
   登录6380端口的从节点：6383，执行 CLUSTER FAILOVER 命令：
   

   192.168.10.52:6383> CLUSTER  FAILOVER
   (error) ERR Master is down or failed, please use CLUSTER FAILOVER FORCE
   

   　　
   发现因为master已经down了，所以我们需要执行强制转移
   
   

   192.168.10.52:6383> CLUSTER FAILOVER FORCE
   OK
   

   　　
   查看当前 cluster node 情况：
   
   

   192.168.10.52:6383>  CLUSTER NODES
   0bbdc4176884ef0e3bb9b2e7d03d91b0e7e11f44 172.17.0.5:6379@16379 slave 760e4d0039c5ac13d04aa4791c9e6dc28544d7c7 0 1528707535332 3 connected
   ae86224a3bc29c4854719c83979cb7506f37787a 172.17.0.7:6379@16379 slave f45f9109f2297a83b1ac36f9e1db5e70bbc174ab 0 1528707534829 5 connected
   f45f9109f2297a83b1ac36f9e1db5e70bbc174ab 172.17.0.4:6379@16379 master - 0 1528707534527 0 connected 10923-16383
   98aebcfe42d8aaa8a3375e4a16707107dc9da683 172.17.0.6:6379@16379 myself,master - 0 1528707535000 6 connected 5462-10922
   760e4d0039c5ac13d04aa4791c9e6dc28544d7c7 172.17.0.2:6379@16379 master - 0 1528707535834 2 connected 0-5461
   54cb5c2eb8e5f5aed2d2f7843f75a9284ef6785c 172.17.0.3:6379@16379 master,fail - 1528707472833 1528707472000 1 connected
   

   　　
   从节点已经升级为master节点。这时候，我们尝试重启了，6380节点的redis（其实是重新启动停掉的容器）：
   
   

   192.168.10.52:6383>  CLUSTER NODES
   0bbdc4176884ef0e3bb9b2e7d03d91b0e7e11f44 172.17.0.5:6379@16379 slave 760e4d0039c5ac13d04aa4791c9e6dc28544d7c7 0 1528707556044 3 connected
   ae86224a3bc29c4854719c83979cb7506f37787a 172.17.0.7:6379@16379 slave f45f9109f2297a83b1ac36f9e1db5e70bbc174ab 0 1528707555000 5 connected
   f45f9109f2297a83b1ac36f9e1db5e70bbc174ab 172.17.0.4:6379@16379 master - 0 1528707556000 0 connected 10923-16383
   98aebcfe42d8aaa8a3375e4a16707107dc9da683 172.17.0.6:6379@16379 myself,master - 0 1528707556000 6 connected 5462-10922
   760e4d0039c5ac13d04aa4791c9e6dc28544d7c7 172.17.0.2:6379@16379 master - 0 1528707556000 2 connected 0-5461
   54cb5c2eb8e5f5aed2d2f7843f75a9284ef6785c 172.17.0.3:6379@16379 slave 98aebcfe42d8aaa8a3375e4a16707107dc9da683 0 1528707556547 6 connected
   

   　　

   我们发现，6380节点反而变成了 6383节点的从节点。
   
   现在集群应该是完整的了，所以，集群状态应该已经恢复了，我们查看下：
   

   192.168.10.52:6383> 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:6
   cluster_stats_messages_ping_sent:19419
   cluster_stats_messages_pong_sent:19443
   cluster_stats_messages_meet_sent:1
   cluster_stats_messages_auth-req_sent:5
   cluster_stats_messages_update_sent:1
   cluster_stats_messages_sent:38869
   cluster_stats_messages_ping_received:19433
   cluster_stats_messages_pong_received:19187
   cluster_stats_messages_meet_received:5
   cluster_stats_messages_fail_received:4
   cluster_stats_messages_auth-ack_received:2
   cluster_stats_messages_received:38631
   

   　　

   OK，没有问题。
   
   
7. 集群访问
   客户端在初始化的时候只需要知道一个节点的地址即可，客户端会先尝试向这个节点执行命令，比如  get key ，如果key所在的slot刚好在该节点上，则能够直接执行成功。如果slot不在该节点，则节点会返回MOVED错误，同时把该slot对应的节点告诉客户端，客户端可以去该节点执行命令
   

   192.168.10.52:6383> get hello
   (error) MOVED 866 172.17.0.2:6379
   
   192.168.10.52:6379> set number 20004
   (error) MOVED 7743 172.17.0.3:6379
   

   　　另外，redis集群版只使用db0，select命令虽然能够支持select 0。其他的db都会返回错误。

   192.168.10.52:6383> select 0
   OK
   192.168.10.52:6383> select 1
   (error) ERR SELECT is not allowed in cluster mode
   

    

 

1. 近期，有网友询问docker redis集群连接报错的问题，具体报错如下：
   
   　

    

   初步认为是，node节点没有全部添加进去，添加之后，依然有上述问题。想到是跨主机访问，应该是路由寻址不了导致的。当初写上述教程的时候，docker是以默认的网络模式bridge模式运行的，毕竟当初是以学习整理文档为主，主要是单机访问。但是，实际应用化场景中，多是公网跨主机访问，问题明朗了，想着集群这东西最好还是设置成共享主机公网ip比较好，于是解决如下：
   1. 在docker运行时，执行网络模式为：host。
   2. 端口冲突解决，毕竟host模式下，容器会占用宿主机的端口，于是，我们就从配置下手，在宿主机上生成配置redis-60001.conf,redis-60002.conf,redis-60003.conf...，有多少端口建多少个文件，最终运行一个容器，挂载一个配置到容器中用于覆盖主机中的配置。
      最终的运行方式如下：

       docker run -d --name redis-6380 --net host -v /tmp/redis.conf:/usr/local/redis/redis.conf  hakimdstx/nodes-redis:4.0.1
      

      
      至此，网络问题得到解决。
      PS.生产环境需要注意防火墙问题，不然也是会报错的。　　

以上

引用：

     1、Redis Cluster部署、管理和测试

     2、Docker下redis的主从、持久化配置

转载于:https://www.cnblogs.com/cxbhakim/p/9151720.html