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小編這次要給大家分享的是Docker怎么快速搭建Redis集群，文章內容豐富，感興趣的小伙伴可以來了解一下，希望大家閱讀完這篇文章之后能夠有所收獲。
什么是Redis集群
Redis集群是Redis提供的分布式數據庫方案，集群通過分片（sharding）來進行數據共享，并提供復制和故障轉移功能。
節點
一個Redis集群通常由多個節點（node）組成，在剛開始的時候，每個節點都是相互獨立的，它們都處于一個只包含自己的集群當中，要組建一個真正可工作的集群，我們必須將各個獨立的節點連接起來，構成一個包含多個節點的集群。
集群配置
配置文件
調整 CLUSTER 節點配置
# 開啟cluster集群 cluster-enabled yes # 集群配置文件 cluster-config-file nodes-6379.conf # 集群節點超時 cluster-node-timeout 15000
Docker快速搭建Redis集群
安裝Redis
參考文章：https://www.jb51.net/article/150054.htm
準備工作
├── 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 腳本文件
#!/usr/bin/env bash
set -e
# 腳本當前目錄
cPath=$(cd $(dirname "$0") || exit; pwd)
# 根目錄
dirPath=$(dirname "$cPath")
# 獲取端口
port="$1"
if [[ ! "$port" ]]; then
port=6379
fi
# 創建數據目錄
mkdir -p "$dirPath"/redis/data_"$port"
# 刪除已啟動服務
containerId=$(docker ps -a | grep "redis_$port" | awk -F' ' '{print $1}')
if [[ "$containerId" ]]; then
docker rm -f ${containerId} > /dev/null
fi
# 啟動服務
containerName=redis_"$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
# 獲取容器IP地址
dockerIp=$(docker inspect -f "{{.NetworkSettings.IPAddress}}" "$containerName")
# 獲取容器啟動狀態
isRunning=$(docker inspect -f "{{.State.Running}}" "$containerName")
if [[ "$isRunning" == "true" ]]; then
echo "容器：$containerName - IP：$dockerIp - 啟動成功"
ficluster.sh 腳本文件
#!/usr/bin/env bash
set -e
# 腳本當前目錄
cPath=$(cd $(dirname "$0") || exit; pwd)
# 啟動集群數量
num="$1"
if [[ ! "$num" ]]; then
num=6
fi
sPort=6378
for((i=1;i<=$num;i++)); do
sh ${cPath}/run.sh $(($sPort+$i))
done啟動服務
執行腳本文件，默認創建6個節點
sh scripts/cluster.sh
腳本返回結果
容器：redis_6379 - IP：172.17.0.2 - 啟動成功
容器：redis_6380 - IP：172.17.0.3 - 啟動成功
容器：redis_6381 - IP：172.17.0.4 - 啟動成功
容器：redis_6382 - IP：172.17.0.5 - 啟動成功
容器：redis_6383 - IP：172.17.0.6 - 啟動成功
容器：redis_6384 - IP：172.17.0.7 - 啟動成功
執行 docker ps 確實是否啟動成功
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
到此為止，6個獨立集群節點創建完畢，目前還無法正常工作。
創建集群
此處可以跳過，本人是為了省事
獲取容器為redis_開始所有的容器IP地址
docker inspect -f "{{.NetworkSettings.IPAddress}}:6379" `docker ps | grep redis_ | awk -F' ' '{print $1}'` | sort |xargs | sed 's/ /, /g'
# 返回結果
# 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初次創建集群執行
./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
輸出結果
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):
輸入：yes，將平均分配槽位
>>> 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.
連接集群
通過客戶端連接
redis-cli -c <端口>
執行命令：cluster info
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
看到：cluster_state:ok 說明集群已可以正常工作
客戶端控制臺：cluster help
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
查看客戶端提供的集群相關命令：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看完這篇關于Docker怎么快速搭建Redis集群的文章，如果覺得文章內容寫得不錯的話，可以把它分享出去給更多人看到。
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