基于Docker搭建Elasticsearch集群

集群规划，采用三个节点

# 准备3个es节点 es 9200 9300
- web 9201 tcp:9301 node-1 elasticsearch.yml
- web 9202 tcp:9302 node-2 elasticsearch.yml
- web 9203 tcp:9303 node-3 elasticsearch.yml
  • 注意
    • 所有节点集群名称必须保持一致cluster.name
    • 每个节点必须有唯一的名字 node.name
    • 开启每个节点的远程连接network.host:0.0.0.0
    • 指定IP地址进行集群节点通信network_publish_host:
    • 修改web端口tcp端口http.port:transport.tcp.port
    • 指定集群中所有系节点通信列表discovery.seed_hosts:node-1 node-2 node-3相同
    • 允许集群初始化master节点节点数：cluster.initial_master_nodes:[“node-1”, “node-2”, “node-3”]
    • 集群最少几个节点可用gateway.recover_after_nodes:2
    • 开启每个节点的跨域访问http.cors.enabled:true http.cors.allow.-origin:"*"

配置文件

cluster
	node-1
		config/elasticsearch.yml
			# 集群名称
			cluster.name: es-cluster 
			
			#节点名称
			node.name: node-1 
			
			# 发布地址，一个单一地址，用于通知集群中的其他节点，以便其他的节点能够和它通信。当前，一个 elasticsearch 节点可能被绑定到多个地址，但是仅仅有一个发布地址
			# docker宿主机ip
			network.publish_host: 172.30.38.46
			
			# 开放远程连接，bind_host和publish_host一起设置
			network.host: 0.0.0.0 
			
			# 对外暴露的http请求端口
			http.port: 9201 
			
			# 集群节点之间通信用的TCP端口
			transport.tcp.port: 9301
			
			# 一个集群中最小主节点个数（防止脑裂，一般为n/2 + 1，n为集群节点个数）（7.10.1版本已取消？）
			discovery.zen.minimum_master_nodes: 2 
			
			# 新节点启动时能被发现的节点列表（新增节点需要添加自身）
			discovery.zen.ping.unicast.hosts: ["172.30.38.46:9301","172.30.38.46:9302","172.30.38.46:9303"]
			
			# 集群初始话指定主节点（节点名）,7版本必须设置
			cluster.initial_master_nodes: ["node-1","node-2","node-3"]
			
			# 跨域问题解决
			http.cors.enabled: true
			http.cors.allow-origin: "*"
	node-2
		config/elasticsearch.yml
			# 集群名称
			cluster.name: es-cluster 
			
			#节点名称
			node.name: node-1 
			
			# 发布地址，一个单一地址，用于通知集群中的其他节点，以便其他的节点能够和它通信。当前，一个 elasticsearch 节点可能被绑定到多个地址，但是仅仅有一个发布地址
			network.publish_host: 172.30.38.46
			
			# 开放远程连接，bind_host和publish_host一起设置
			network.host: 0.0.0.0 
			
			# 对外暴露的http请求端口
			http.port: 9202 
			
			# 集群节点之间通信用的TCP端口
			transport.tcp.port: 9302
			
			# 一个集群中最小主节点个数（防止脑裂，一般为n/2 + 1，n为集群节点个数）（7.10.1版本已取消？）
			discovery.zen.minimum_master_nodes: 2 
			
			# 新节点启动时能被发现的节点列表（新增节点需要添加自身）
			discovery.zen.ping.unicast.hosts: ["172.30.38.46:9301","172.30.38.46:9302","172.30.38.46:9303"]
			
			# 集群初始话指定主节点（节点名）,7版本必须设置
			cluster.initial_master_nodes: ["node-1","node-2","node-3"]
			
			# 跨域问题解决
			http.cors.enabled: true
			http.cors.allow-origin: "*"	
	node-3
		config/elasticsearch.yml
			# 集群名称
			cluster.name: es-cluster 
			
			#节点名称
			node.name: node-1 
			
			# 发布地址，一个单一地址，用于通知集群中的其他节点，以便其他的节点能够和它通信。当前，一个 elasticsearch 节点可能被绑定到多个地址，但是仅仅有一个发布地址
			network.publish_host: 172.30.38.46
			
			# 开放远程连接，bind_host和publish_host一起设置
			network.host: 0.0.0.0 
			
			# 对外暴露的http请求端口
			http.port: 9203 
			
			# 集群节点之间通信用的TCP端口
			transport.tcp.port: 9303
			
			# 一个集群中最小主节点个数（防止脑裂，一般为n/2 + 1，n为集群节点个数）（7.10.1版本已取消？）
			discovery.zen.minimum_master_nodes: 2 
			
			# 新节点启动时能被发现的节点列表（新增节点需要添加自身）
			discovery.zen.ping.unicast.hosts: ["172.30.38.46:9301","172.30.38.46:9302","172.30.38.46:9303"]
			
			# 集群初始话指定主节点（节点名）,7版本必须设置
			cluster.initial_master_nodes: ["node-1","node-2","node-3"]
			
			# 跨域问题解决
			http.cors.enabled: true
			http.cors.allow-origin: "*"

创建/elk/escluster-kibana-compose/node-1，/elk/escluster-kibana-compose/node-2，/elk/escluster-kibana-compose/node-3文件夹。分别在三个文件夹下创建config文件夹并在config文件夹下创建elasticsearch.yml文件，

cluster
	node-1
		config/elasticsearch.yml
			cluster.name: es-cluster 
			node.name: node-1 
			network.publish_host: 172.30.38.46
			network.host: 0.0.0.0 
			http.port: 9201 
			transport.tcp.port: 9301
			discovery.zen.minimum_master_nodes: 2 
			discovery.zen.ping.unicast.hosts: ["172.30.38.46:9301","172.30.38.46:9302","172.30.38.46:9303"]
			cluster.initial_master_nodes: ["node-1","node-2","node-3"]
			http.cors.enabled: true
			http.cors.allow-origin: "*"
	node-2
		config/elasticsearch.yml
			cluster.name: es-cluster 
			node.name: node-2 
			network.publish_host: 172.30.38.46
			network.host: 0.0.0.0 
			http.port: 9202 
			transport.tcp.port: 9302
			discovery.zen.minimum_master_nodes: 2 
			discovery.zen.ping.unicast.hosts: ["172.30.38.46:9301","172.30.38.46:9302","172.30.38.46:9303"]
			cluster.initial_master_nodes: ["node-1","node-2","node-3"]
			http.cors.enabled: true
			http.cors.allow-origin: "*"	
	node-3
		config/elasticsearch.yml
			cluster.name: es-cluster 
			node.name: node-3
			network.publish_host: 172.30.38.46
			network.host: 0.0.0.0 
			http.port: 9203 
			transport.tcp.port: 9303
			discovery.zen.minimum_master_nodes: 2 
			discovery.zen.ping.unicast.hosts: ["172.30.38.46:9301","172.30.38.46:9302","172.30.38.46:9303"]
			cluster.initial_master_nodes: ["node-1","node-2","node-3"]
			http.cors.enabled: true
			http.cors.allow-origin: "*"

/elk/escluster-kibana-compose/kibana.yml

server.name: kibana
server.port: 5606
server.host: "0"
elasticsearch.hosts: [ "http://es01:9201","http://es02:9202","http://es03:9203" ]
xpack.monitoring.ui.container.elasticsearch.enabled: true

docker-compose.yml文件

version: "2"
networks:
  escluster:
services:
  es01:
    image: elasticsearch:7.6.0
    ports:
      - "9201:9201"
      - "9301:9301"
    networks:
      - "escluster"
    environment:
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    volumes:
      - /elk/escluster-kibana-compose/node-1/data:/usr/share/elasticsearch/data
      - /elk/escluster-kibana-compose/node-1/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml
      - /elk/escluster-kibana-compose/node-1/plugins/ik-7.6.0:/usr/share/elasticsearch/plugins/ik-7.6.0
  es02:
    image: elasticsearch:7.6.0
    ports:
      - "9202:9202"
      - "9302:9302"
    networks:
      - "escluster"
    environment:
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    volumes:
      - /elk/escluster-kibana-compose/node-2/data:/usr/share/elasticsearch/data
      - /elk/escluster-kibana-compose/node-2/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml
      - /elk/escluster-kibana-compose/node-2/plugins/ik-7.6.0:/usr/share/elasticsearch/plugins/ik-7.6.0
  es03:
    image: elasticsearch:7.6.0
    ports:
      - "9203:9203"
      - "9303:9303"
    networks:
      - "escluster"
    environment:
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    volumes:
      - /elk/escluster-kibana-compose/node-3/data:/usr/share/elasticsearch/data
      - /elk/escluster-kibana-compose/node-3/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml
      - /elk/escluster-kibana-compose/node-3/plugins/ik-7.6.0:/usr/share/elasticsearch/plugins/ik-7.6.0
  kibana:
    image: kibana:7.6.0
    ports:
      - "5606:5606"
    networks:
      - "escluster"
    volumes:
      - /elk/escluster-kibana-compose/kibana.yml:/usr/share/kibana/config/kibana.yml

执行docker-compose

# 启动
docker-compose up -d
# 查看日志
docker-compose logs -f

启动完成之后分别访问

http://172.30.38.46:9201/

http://172.30.38.46:9202/

http://172.30.38.46:9203/

{
"name": "node-1",
"cluster_name": "es-cluster",
"cluster_uuid": "gC1ZHP8uSOqnqof0-Rdlcg",
"version": {
"number": "7.6.0",
"build_flavor": "default",
"build_type": "docker",
"build_hash": "7f634e9f44834fbc12724506cc1da681b0c3b1e3",
"build_date": "2020-02-06T00:09:00.449973Z",
"build_snapshot": false,
"lucene_version": "8.4.0",
"minimum_wire_compatibility_version": "6.8.0",
"minimum_index_compatibility_version": "6.0.0-beta1"
},
"tagline": "You Know, for Search"
}


{
"name": "node-2",
"cluster_name": "es-cluster",
"cluster_uuid": "gC1ZHP8uSOqnqof0-Rdlcg",
"version": {
"number": "7.6.0",
"build_flavor": "default",
"build_type": "docker",
"build_hash": "7f634e9f44834fbc12724506cc1da681b0c3b1e3",
"build_date": "2020-02-06T00:09:00.449973Z",
"build_snapshot": false,
"lucene_version": "8.4.0",
"minimum_wire_compatibility_version": "6.8.0",
"minimum_index_compatibility_version": "6.0.0-beta1"
},
"tagline": "You Know, for Search"
}

{
"name": "node-3",
"cluster_name": "es-cluster",
"cluster_uuid": "gC1ZHP8uSOqnqof0-Rdlcg",
"version": {
"number": "7.6.0",
"build_flavor": "default",
"build_type": "docker",
"build_hash": "7f634e9f44834fbc12724506cc1da681b0c3b1e3",
"build_date": "2020-02-06T00:09:00.449973Z",
"build_snapshot": false,
"lucene_version": "8.4.0",
"minimum_wire_compatibility_version": "6.8.0",
"minimum_index_compatibility_version": "6.0.0-beta1"
},
"tagline": "You Know, for Search"
}

访问kibana

http://172.30.38.46:5606/

# elasticsearch # docker # big data
Logo
向您推荐>>Eolink开发者社区

权威｜前沿｜技术｜干货｜国内首个API全生命周期开发者社区

更多推荐

沃云统一开发平台介绍

沃云集成平台研发平台介绍1.平台优势2.平台原理3.研发平台使用方法4.遇到的问题5.现阶段实现的功能6.后续需要补充的功能和优化内容研发平台介绍1.平台优势解决孤岛式应用，实现能力共享；现有系统框架过于复杂，跨系统业务处理成本居高不下，协同服务共享，降低运维成本；提高项目应用资源监控能力，改善资源利用率；业务微服务化，快速发布、快速部署，快速响应业务需求变化；沃云平台不仅提供了自动化的、可快速部

avatar 云原生

(20200916 Solved)docker-compose up创建容器自动退出

问题描述如题，创建容器后自动退出了。并且docker start container无效解决方案原因是缺失了控制终端的配置，需要在docker-compose.yml中增加tty:true ，有时候这样也不行，需要再增加一个command:/bin/bash，命令不一定是这个，需要是一个不会退出的命令，然后用-d后台启动容器。Referencesdocker-compose启动容器后自动退出...

avatar 云原生

基于docker的test-containers环境百宝箱

笔者语录： 我开了个公众号【Java你我他】，欢迎大家关注。  在很多时候，程序猿们更关注代码本身，而不愿意把时间花费在环境搭建上，这也是Docker变得越来越受欢迎的原因之一。test-containe是Docker生态圈中的一颗新星，其 主要针对测试领域、背靠Docker实现环境百宝箱功能。  test-containers： 你要的环境，我都有~  假设我们现在需要一个redis-clust

avatar 云原生