Docker快速搭建Redis集群的方法示例

Docker快速搭建Redis集群的方法示例

什么是Redis集群

Redis集群是Redis提供的分布式数据库方案，集群通过分片（sharding）来进行数据共享，并提供复制和故障转移功能。

节点

一个Redis集群通常由多个节点（node）组成，在刚开始的时候，每个节点都是相互独立的，它们都处于一个只包含自己的集群当中，要组建一个真正可工作的集群，我们必须将各个独立的节点连接起来，构成一个包含多个节点的集群。

集群配置

配置文件

下载配置文件：https://raw.githubusercontent.com/antirez/redis/5.0/redis.conf

调整 CLUSTER 节点配置

# 开启cluster集群
cluster-enabled yes

# 集群配置文件
cluster-config-file nodes-6379.conf

# 集群节点超时
cluster-node-timeout 15000

Docker快速搭建Redis集群

安装Redis

参考文章：https://www.jb51.net/article/150054.htm

准备工作

├── conf
│  ├── redis.conf
│  └── sentinel.conf
├── redis
│  ├── data_6379
│  ├── data_6380
│  ├── data_6381
│  ├── data_6382
│  ├── data_6383
│  └── data_6384
└── scripts
  ├── cluster.sh
  ├── run.sh
  └── sentinel.sh

run.sh 脚本文件

#!/usr/bin/env bash
set -e

# 脚本当前目录
cPath=$(cd $(dirname "cluster.sh 脚本文件") || exit; pwd)

# 根目录
dirPath=$(dirname "$cPath")

# 获取端口
port=""
if [[ ! "$port" ]]; then
 port=6379
fi

# 创建数据目录
mkdir -p "$dirPath"/redis/data_"$port"

# 删除已启动服务
containerId=$(docker ps -a | grep "redis_$port" | awk -F' ' '{print }')
if [[ "$containerId" ]]; then
  docker rm -f ${containerId} > /dev/null
fi

# 启动服务
containerName=redis_"$port"
docker run -itd --privileged=true -p "$port":6379 --name ${containerName} \
-v="$dirPath"/conf/redis.conf:/etc/redis/redis.conf \
-v="$dirPath"/redis/data_"$port":/data \
redis \
redis-server /etc/redis/redis.conf > /dev/null

# 获取容器IP地址
dockerIp=$(docker inspect -f "{{.NetworkSettings.IPAddress}}" "$containerName")

# 获取容器启动状态
isRunning=$(docker inspect -f "{{.State.Running}}" "$containerName")
if [[ "$isRunning" == "true" ]]; then
  echo "容器：$containerName - IP：$dockerIp - 启动成功"
fi

#!/usr/bin/env bash
set -e

# 脚本当前目录
cPath=$(cd $(dirname "启动服务") || exit; pwd)

# 启动集群数量
num=""
if [[ ! "$num" ]]; then
 num=6
fi

sPort=6378
for((i=1;i<=$num;i++)); do
  sh ${cPath}/run.sh $(($sPort+$i))
done

sh scripts/cluster.sh

脚本返回结果

执行脚本文件，默认创建6个节点

root@DESKTOP-Q13EI52:~/docker-config/redis# docker ps
CONTAINER ID    IMAGE        COMMAND         CREATED       STATUS       PORTS          NAMES
c0601df1a456    redis        "docker-entrypoint.s…"  27 seconds ago   Up 26 seconds    0.0.0.0:6384->6379/tcp  redis_6384
6fecf70465b8    redis        "docker-entrypoint.s…"  27 seconds ago   Up 26 seconds    0.0.0.0:6383->6379/tcp  redis_6383
1af15e90b7a0    redis        "docker-entrypoint.s…"  28 seconds ago   Up 27 seconds    0.0.0.0:6382->6379/tcp  redis_6382
6c495f31a5df    redis        "docker-entrypoint.s…"  28 seconds ago   Up 28 seconds    0.0.0.0:6381->6379/tcp  redis_6381
e54fd9fd0550    redis        "docker-entrypoint.s…"  29 seconds ago   Up 28 seconds    0.0.0.0:6380->6379/tcp  redis_6380
be92ad2f7046    redis        "docker-entrypoint.s…"  29 seconds ago   Up 29 seconds    0.0.0.0:6379->6379/tcp  redis_6379

创建集群

容器：redis_6379 - IP：172.17.0.2 - 启动成功
容器：redis_6380 - IP：172.17.0.3 - 启动成功
容器：redis_6381 - IP：172.17.0.4 - 启动成功
容器：redis_6382 - IP：172.17.0.5 - 启动成功
容器：redis_6383 - IP：172.17.0.6 - 启动成功
容器：redis_6384 - IP：172.17.0.7 - 启动成功

执行 docker ps 确实是否启动成功

docker inspect -f "{{.NetworkSettings.IPAddress}}:6379" `docker ps | grep redis_ | awk -F' ' '{print }'` | sort |xargs | sed 's/ /, /g'

# 返回结果
# 172.17.0.2:6379, 172.17.0.3:6379, 172.17.0.4:6379, 172.17.0.5:6379, 172.17.0.6:6379, 172.17.0.7:6379

到此为止，6个独立集群节点创建完毕，目前还无法正常工作。

./redis-cli --cluster create 172.17.0.2:6379, 172.17.0.3:6379, 172.17.0.4:6379, 172.17.0.5:6379, 172.17.0.6:6379, 172.17.0.7:6379 --cluster-replicas 1

此处可以跳过，本人是为了省事

获取容器为redis_开始所有的容器IP地址

licas 1
>>> Performing hash slots allocation on 6 nodes...
Master[0] -> Slots 0 - 5460
Master[1] -> Slots 5461 - 10922
Master[2] -> Slots 10923 - 16383
Adding replica 172.17.0.6:6379 to 172.17.0.2:6379
Adding replica 172.17.0.7:6379 to 172.17.0.3:6379
Adding replica 172.17.0.5:6379 to 172.17.0.4:6379
M: e8da1fef656984de3ec2a677edc8d9c48d01cd95 172.17.0.2:6379
  slots:[0-5460] (5461 slots) master
M: 68b925ab0fbbc1a632c1754587fb6dad3fa14c91 172.17.0.3:6379
  slots:[5461-10922] (5462 slots) master
M: 0a46ab2f6d176738b55fe699c2df1c34f8200d06 172.17.0.4:6379
  slots:[10923-16383] (5461 slots) master
S: bd3064ad5297dfc258e9236943455c589be8b2a3 172.17.0.5:6379
  replicates 0a46ab2f6d176738b55fe699c2df1c34f8200d06
S: f1d8c897882d29e6538b1158525493b3b782289a 172.17.0.6:6379
  replicates e8da1fef656984de3ec2a677edc8d9c48d01cd95
S: 619e1cb52f39e07b321719b77fc3631fa6293cef 172.17.0.7:6379
  replicates 68b925ab0fbbc1a632c1754587fb6dad3fa14c91
Can I set the above configuration? (type 'yes' to accept):

初次创建集群执行

>>> 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 172.17.0.2:6379)
M: e8da1fef656984de3ec2a677edc8d9c48d01cd95 172.17.0.2:6379
  slots:[0-5460] (5461 slots) master
  1 additional replica(s)
S: f1d8c897882d29e6538b1158525493b3b782289a 172.17.0.6:6379
  slots: (0 slots) slave
  replicates e8da1fef656984de3ec2a677edc8d9c48d01cd95
S: bd3064ad5297dfc258e9236943455c589be8b2a3 172.17.0.5:6379
  slots: (0 slots) slave
  replicates 0a46ab2f6d176738b55fe699c2df1c34f8200d06
M: 0a46ab2f6d176738b55fe699c2df1c34f8200d06 172.17.0.4:6379
  slots:[10923-16383] (5461 slots) master
  1 additional replica(s)
S: 619e1cb52f39e07b321719b77fc3631fa6293cef 172.17.0.7:6379
  slots: (0 slots) slave
  replicates 68b925ab0fbbc1a632c1754587fb6dad3fa14c91
M: 68b925ab0fbbc1a632c1754587fb6dad3fa14c91 172.17.0.3:6379
  slots:[5461-10922] (5462 slots) master
  1 additional replica(s)
[OK] All nodes agree about slots configuration.
>>> Check for open slots...
>>> Check slots coverage...
[OK] All 16384 slots covered.

输出结果

连接集群

输入：yes，将平均分配槽位

redis-cli -c <端口>

cluster info

通过客户端连接

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:104
cluster_stats_messages_pong_sent:120
cluster_stats_messages_sent:224
cluster_stats_messages_ping_received:115
cluster_stats_messages_pong_received:104
cluster_stats_messages_meet_received:5
cluster_stats_messages_received:224

执行命令：cluster_state:ok

cluster help

看到：

127.0.0.1:6379> cluster help
 1) CLUSTER <subcommand> arg arg ... arg. Subcommands are:
 2) ADDSLOTS <slot> [slot ...] -- Assign slots to current node.
 3) BUMPEPOCH -- Advance the cluster config epoch.
 4) COUNT-failure-reports <node-id> -- Return number of failure reports for <node-id>.
 5) COUNTKEYSINSLOT <slot> - Return the number of keys in <slot>.
 6) DELSLOTS <slot> [slot ...] -- Delete slots information from current node.
 7) FAILOVER [force|takeover] -- Promote current replica node to being a master.
 8) FORGET <node-id> -- Remove a node from the cluster.
 9) GETKEYSINSLOT <slot> <count> -- Return key names stored by current node in a slot.
10) FLUSHSLOTS -- Delete current node own slots information.
11) INFO - Return information about the cluster.
12) KEYSLOT <key> -- Return the hash slot for <key>.
13) MEET <ip> <port> [bus-port] -- Connect nodes into a working cluster.
14) MYID -- Return the node id.
15) NODES -- Return cluster configuration seen by node. Output format:
16)   <id> <ip:port> <flags> <master> <pings> <pongs> <epoch> <link> <slot> ... <slot>
17) REPLICATE <node-id> -- Configure current node as replica to <node-id>.
18) RESET [hard|soft] -- Reset current node (default: soft).
19) SET-config-epoch <epoch> - Set config epoch of current node.
20) SETSLOT <slot> (importing|migrating|stable|node <node-id>) -- Set slot state.
21) REPLICAS <node-id> -- Return <node-id> replicas.
22) SAVECONFIG - Force saving cluster configuration on disk.
23) SLOTS -- Return information about slots range mappings. Each range is made of:
24)   start, end, master and replicas IP addresses, ports and ids

说明集群已可以正常工作

客户端控制台：redis-cli --cluster help

Cluster Manager Commands:
 create     host1:port1 ... hostN:portN
         --cluster-replicas <arg>
 check     host:port
         --cluster-search-multiple-owners
 info      host:port
 fix      host:port
         --cluster-search-multiple-owners
 reshard    host:port
         --cluster-from <arg>
         --cluster-to <arg>
         --cluster-slots <arg>
         --cluster-yes
         --cluster-timeout <arg>
         --cluster-pipeline <arg>
         --cluster-replace
 rebalance   host:port
         --cluster-weight <node1=w1...nodeN=wN>
         --cluster-use-empty-masters
         --cluster-timeout <arg>
         --cluster-simulate
         --cluster-pipeline <arg>
         --cluster-threshold <arg>
         --cluster-replace
 add-node    new_host:new_port existing_host:existing_port
         --cluster-slave
         --cluster-master-id <arg>
 del-node    host:port node_id
 call      host:port command arg arg .. arg
 set-timeout  host:port milliseconds
 import     host:port
         --cluster-from <arg>
         --cluster-copy
         --cluster-replace

查看客户端提供的集群相关命令：

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