centos7基于Docker搭建Elasticsearch-7.6.0集群

待我称王封你为后i 2023-07-25 09:00 56阅读 0赞

### 文章目录 ###

[https://blog.csdn.net/gfk3009/article/details/104560431?depth\_1-utm\_source=distribute.pc\_relevant.none-task-blog-BlogCommendFromBaidu-3&utm\_source=distribute.pc\_relevant.none-task-blog-BlogCommendFromBaidu-3][https_blog.csdn.net_gfk3009_article_details_104560431_depth_1-utm_source_distribute.pc_relevant.none-task-blog-BlogCommendFromBaidu-3_utm_source_distribute.pc_relevant.none-task-blog-BlogCommendFromBaidu-3]

经测试，完美，感谢博主。

#下载Elasticsearch镜像
    docker pull elasticsearch:7.6.0
    
    #下载Kibana镜像
    docker pull kibana:7.6.0
    
    #存放配置文件的文件夹
    mkdir -p /home/elasticsearch/node-1/config
    mkdir -p /home/elasticsearch/node-2/config
    mkdir -p /home/elasticsearch/node-3/config
    #存放数据的文件夹
    mkdir -p /home/elasticsearch/node-1/data
    mkdir -p /home/elasticsearch/node-2/data
    mkdir -p /home/elasticsearch/node-3/data
    #存放运行日志的文件夹
    mkdir -p /home/elasticsearch/node-1/log
    mkdir -p /home/elasticsearch/node-2/log
    mkdir -p /home/elasticsearch/node-3/log
    #存放IK分词插件的文件夹
    mkdir -p /home/elasticsearch/node-1/plugins
    mkdir -p /home/elasticsearch/node-2/plugins
    mkdir -p /home/elasticsearch/node-3/plugins
    
    
    [root@cdh11 ~]# cd chmod 777 /home/elasticsearch/node-1
    [root@cdh11 ~]# ls
    -  anaconda-ks.cfg  conf  data  hfl  logs  p  rabbitmq.conf  zookeeper.out
    [root@cdh11 ~]# cd /home/elasticsearch/
    [root@cdh11 elasticsearch]# ls
    node-1  node-2  node-3
    
    [root@cdh11 elasticsearch]# cd node-1
    [root@cdh11 node-1]# ls
    config  data  log  plugins
    [root@cdh11 node-1]# cd config/
    [root@cdh11 config]# ls
    [root@cdh11 config]# vim elasticsearch.yml
    [root@cdh11 config]# vim elasticsearch.yml
    [root@cdh11 config]# vim elasticsearch.yml
    [root@cdh11 config]# ls
    elasticsearch.yml
    [root@cdh11 config]# cp elasticsearch.yml /home/elasticsearch/node-2/config
    [root@cdh11 config]# cp elasticsearch.yml /home/elasticsearch/node-3/config
    [root@cdh11 config]# cd /home/elasticsearch/node-2/config
    [root@cdh11 config]# ls
    elasticsearch.yml
    [root@cdh11 config]# vim elasticsearch.yml 
    [root@cdh11 config]# cd /home/elasticsearch/
    [root@cdh11 elasticsearch]# ls
    node-1  node-2  node-3
    
    [root@cdh11 elasticsearch]# cd node-3
    [root@cdh11 node-3]# ls
    config  data  log  plugins
    [root@cdh11 node-3]# cd config/
    [root@cdh11 config]# ls
    elasticsearch.yml
    [root@cdh11 config]# vim elasticsearch.yml 
    [root@cdh11 config]# docker network create es-net
    7ddab9e7b8dbd98ea2944954b4316e330539227485fcf8c2fc1d64d56657add6
    
    [root@cdh11 config]# docker run -e ES_JAVA_OPTS="-Xms512m -Xmx512m" --network es-net -d -p 9200:9200 -p 9300:9300 -v /home/elasticsearch/node-1/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml -v /home/elasticsearch/node-1/plugins:/usr/share/elasticsearch/plugins -v /home/elasticsearch/node-1/data:/usr/share/elasticsearch/data -v /home/elasticsearch/node-1/log:/usr/share/elasticsearch/log --name es-node-1 elasticsearch:7.6.0
    
    [root@cdh11 config]# docker run -e ES_JAVA_OPTS="-Xms512m -Xmx512m" --network es-net -d  -p 9201:9201 -p 9301:9301  -v /home/elasticsearch/node-2/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml  -v /home/elasticsearch/node-2/plugins:/usr/share/elasticsearch/plugins   -v /home/elasticsearch/node-2/data:/usr/share/elasticsearch/data -v /home/elasticsearch/node-2/log:/usr/share/elasticsearch/log --name es-node-2 elasticsearch:7.6.0
    
    [root@cdh11 config]# docker run -e ES_JAVA_OPTS="-Xms512m -Xmx512m" --network es-net -d -p 9202:9202 -p 9302:9302  -v /home/elasticsearch/node-3/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml -v /home/elasticsearch/node-3/plugins:/usr/share/elasticsearch/plugins -v /home/elasticsearch/node-3/data:/usr/share/elasticsearch/data/ -v /home/elasticsearch/node-3/log:/usr/share/elasticsearch/log --name es-node-3 elasticsearch:7.6.0
    
    [root@cdh11 config]# docker ps
    CONTAINER ID        IMAGE                 COMMAND                  CREATED              STATUS              PORTS                                                                NAMES
    5384329e6694        elasticsearch:7.6.0   "/usr/local/bin/dock…"   41 seconds ago       Up 35 seconds       9200/tcp, 0.0.0.0:9202->9202/tcp, 9300/tcp, 0.0.0.0:9302->9302/tcp   es-node-3
    daed6203a95e        elasticsearch:7.6.0   "/usr/local/bin/dock…"   52 seconds ago       Up 48 seconds       9200/tcp, 0.0.0.0:9201->9201/tcp, 9300/tcp, 0.0.0.0:9301->9301/tcp   es-node-2
    6f7cb224b1a0        elasticsearch:7.6.0   "/usr/local/bin/dock…"   About a minute ago   Up About a minute   0.0.0.0:9200->9200/tcp, 0.0.0.0:9300->9300/tcp                       es-node-1
    
    
    [root@cdh11 config]# mkdir -p /home/kibana/config
    
    [root@cdh11 config]# vim /home/kibana/config/kibana.yml
    
    [root@cdh11 config]# docker run -d -p 5601:5601 -v /home/kibana/config/kibana.yml:/usr/share/kibana/config/kibana.yml --network es-net  --name kibana kibana:7.6.0

elasticsearch.yml

#集群名称
    cluster.name: my-es
    #当前该节点的名称
    node.name: node-1
    #是不是有资格竞选主节点
    node.master: true
    #是否存储数据
    node.data: true
    #最大集群节点数
    node.max_local_storage_nodes: 3
    #给当前节点自定义属性（可以省略）
    #node.attr.rack: r1
    #数据存档位置
    path.data: /usr/share/elasticsearch/data
    #日志存放位置
    path.logs: /usr/share/elasticsearch/log
    #是否开启时锁定内存（默认为是）
    #bootstrap.memory_lock: true
    #设置网关地址，我是被这个坑死了，这个地址我原先填写了自己的实际物理IP地址，
    #然后启动一直报无效的IP地址，无法注入9300端口，这里只需要填写0.0.0.0
    network.host: 0.0.0.0
    #设置其它结点和该结点交互的ip地址，如果不设置它会自动判断，值必须是个真实的ip地址，设置当前物理机地址,
    #如果是docker安装节点的IP将会是配置的IP而不是docker网管ip
    network.publish_host: 192.168.114.136
    #设置映射端口
    http.port: 9200
    #内部节点之间沟通端口
    transport.tcp.port: 9300
    #集群发现默认值为127.0.0.1:9300,如果要在其他主机上形成包含节点的群集,如果搭建集群则需要填写
    #es7.x 之后新增的配置，写入候选主节点的设备地址，在开启服务后可以被选为主节点，也就是说把所有的节点都写上
    discovery.seed_hosts: ["192.168.114.136:9300","192.168.114.136:9301","192.168.114.136:9302"]
    #当你在搭建集群的时候，选出合格的节点集群，有些人说的太官方了，
    #其实就是，让你选择比较好的几个节点，在你节点启动时，在这些节点中选一个做领导者，
    #如果你不设置呢，elasticsearch就会自己选举，这里我们把三个节点都写上
    cluster.initial_master_nodes: ["node-1","node-2","node-3"]
    #在群集完全重新启动后阻止初始恢复，直到启动N个节点
    #简单点说在集群启动后，至少复活多少个节点以上，那么这个服务才可以被使用，否则不可以被使用，
    gateway.recover_after_nodes: 2
    #删除索引是是否需要显示其名称，默认为显示
    #action.destructive_requires_name: true

kibana

#Kibana的映射端口
    server.port: 5601
    
    #网关地址
    server.host: "0.0.0.0"
    
    #Kibana实例对外展示的名称
    server.name: "kibana-192.168.157.11"
    
    #Elasticsearch的集群地址，也就是说所有的集群IP
    elasticsearch.hosts: ["http://192.168.157.11:9200","http://192.168.157.11:9201","http://192.168.157.11:9202"]
    
    #设置页面语言，中文使用zh-CN，英文使用en
    i18n.locale: "zh-CN"
    
    #这个配置还没理解清楚………………
    xpack.monitoring.ui.container.elasticsearch.enabled: true
    
    
    docker run -d -p 5601:5601 -v /home/kibana/config/kibana.yml:/usr/share/kibana/config/kibana.yml --network es-net  --name kibana kibana:7.6.0

[https_blog.csdn.net_gfk3009_article_details_104560431_depth_1-utm_source_distribute.pc_relevant.none-task-blog-BlogCommendFromBaidu-3_utm_source_distribute.pc_relevant.none-task-blog-BlogCommendFromBaidu-3]: https://blog.csdn.net/gfk3009/article/details/104560431?depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromBaidu-3&utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromBaidu-3