使用docker快速部署Elasticsearch集群的方法

锁定进程的物理内存地址避免交换（swapped）来提高性能

- http.cors.enabled=true

- http.cors.allow-origin=*

开启cors以便使用Head插件

- "ES_JAVA_OPTS=-Xms512m -Xmx512m"

JVM内存大小配置

- "discovery.zen.ping.unicast.hosts=elasticsearch_n0,elasticsearch_n1,elasticsearch_n2"

- "discovery.zen.minimum_master_nodes=2"

由于

5.2.1

后的版本是不支持多播的，所以需要手动指定集群各节点的

tcp

数据交互地址，用于集群的

节点发现

和

failover

，默认缺省

9300

端口，如设定了其它端口需另行指定，这里我们直接借助容器通信，也可以将各节点的

9300

映射至宿主机，通过网络端口通信。

设定

failover

选取的

quorum = nodes/2 + 1

当然，也可以挂载自己的配置文件，

ES

镜像的配置文件是

/usr/share/elasticsearch/config/elasticsearch.yml

，挂载如下:

volumes:
 - path/to/local/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml:ro

docker-compose.yml

version: '3'
services:
 elasticsearch_n0:
  image: elasticsearch:6.6.2
  container_name: elasticsearch_n0
  privileged: true
  environment:
   - cluster.name=elasticsearch-cluster
   - node.name=node0
   - node.master=true
   - node.data=true
   - bootstrap.memory_lock=true
   - http.cors.enabled=true
   - http.cors.allow-origin=*
   - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
   - "discovery.zen.ping.unicast.hosts=elasticsearch_n0,elasticsearch_n1,elasticsearch_n2"
   - "discovery.zen.minimum_master_nodes=2"
  ulimits:
   memlock:
    soft: -1
    hard: -1
  volumes:
   - ./data/node0:/usr/share/elasticsearch/data
   - ./logs/node0:/usr/share/elasticsearch/logs
  ports:
   - 9200:9200
 elasticsearch_n1:
  image: elasticsearch:6.6.2
  container_name: elasticsearch_n1
  privileged: true
  environment:
   - cluster.name=elasticsearch-cluster
   - node.name=node1
   - node.master=true
   - node.data=true
   - bootstrap.memory_lock=true
   - http.cors.enabled=true
   - http.cors.allow-origin=*
   - "ES_JAVA_OPTS=-Xms512m -Xmx512m"								 
 2/5   首页 上一页 1 2 3 4 5 下一页 尾页