为什么要用ElasticSearch？我们的应用经常需要添加检索功能，开源的Elastic Search是目前全文检索引擎的首选。它可以快速的存储、搜索和分析海量数据。ElasticSearch是一个分布式搜索框架，提供RestfulAPI，底层基于Lucene，采用多shard（分片）的方式保证数据安全，并且提供自动resharding的功能。
Elasticsearch: 权威指南(中文)：https://www.elastic.co/guide/cn/elasticsearch/guide/current/index.html
在centos窗口中，执行如下命令：
docker pull elasticsearch:5.6.8当前ES镜像版本信息：
{ "name" : "WlwFyqU", "cluster_name" : "elasticsearch", "cluster_uuid" : "78UDZtviQqiWmzmenGpSrQ", "version" : { "number" : "5.6.8", "build_hash" : "cfe3d9f", "build_date" : "2018-09-10T20:12:43.732Z", "build_snapshot" : false, "lucene_version" : "6.6.1" }, "tagline" : "You Know, for Search" } 3.创建数据挂在目录，以及配置ElasticSearch集群配置文件 3.1.创建数据文件挂载目录,并开放通信端口在centos窗口中，执行如下操作：
[root@localhost soft]# pwd /root/soft [root@localhost soft]# mkdir -p ES/config [root@localhost soft]# cd ES [root@localhost ES]# mkdir data1 [root@localhost ES]# mkdir data2 [root@localhost ES]# mkdir data3 [root@localhost ES]# cd ES/config/ [root@localhost ES]# firewall-cmd --add-port=9300/tcp success [root@localhost ES]# firewall-cmd --add-port=9301/tcp success [root@localhost ES]# firewall-cmd --add-port=9302/tcp success注：如果ELK选的6.X版本的,且非管理员，那么读者需将data1 data2 data3 开启777权限=> chmod 777 data1 data2 data3
3.2.创建ElasticSearch配置文件在centos窗口中，使用vim命令分别创建如下文件：es1.yml,es2.yml,es3.yml
es1.yml
cluster.name: my-elasticsearch node.name: es-node1 network.bind_host: 0.0.0.0 network.publish_host: 192.168.70.129 http.port: 9200 transport.tcp.port: 9300 http.cors.enabled: true http.cors.allow-origin: "*" node.master: true node.data: true discovery.zen.ping.unicast.hosts: ["192.168.70.129:9300","192.168.70.129:9301","192.168.70.129:9302"] discovery.zen.minimum_master_nodes: 2es2.yml
cluster.name: my-elasticsearch node.name: es-node2 network.bind_host: 0.0.0.0 network.publish_host: 192.168.70.129 http.port: 9201 transport.tcp.port: 9301 http.cors.enabled: true http.cors.allow-origin: "*" node.master: true node.data: true discovery.zen.ping.unicast.hosts: ["192.168.70.129:9300","192.168.70.129:9301","192.168.70.129:9302"] discovery.zen.minimum_master_nodes: 2es3.yml
cluster.name: my-elasticsearch node.name: es-node3 network.bind_host: 0.0.0.0 network.publish_host: 192.168.70.129 http.port: 9202 transport.tcp.port: 9302 http.cors.enabled: true http.cors.allow-origin: "*" node.master: true node.data: true discovery.zen.ping.unicast.hosts: ["192.168.70.129:9300","192.168.70.129:9301","192.168.70.129:9302"] discovery.zen.minimum_master_nodes: 2注：本机虚拟机ip：192.168.70.129 读者请自行更改
3.3.调高JVM线程数限制数量在centos窗口中，修改配置sysctl.conf
vim /etc/sysctl.conf加入如下内容：
vm.max_map_count=262144启用配置：
sysctl -p注：这一步是为了防止启动容器时，报出如下错误：
bootstrap checks failed max virtual memory areas vm.max_map_count [65530] likely too low, increase to at least [262144]
启动ElasticSearch集群容器
在centos窗口中，执行如下命令：
注：设置-e ES_JAVA_OPTS="-Xms256m -Xmx256m" 是因为/etc/elasticsearch/jvm.options 默认jvm最大最小内存是2G，读者启动容器后 可用docker stats命令查看
5.验证是否搭建成功在浏览器地址栏访问:9200/_cat/nodes?pretty 查看节点状态
注：节点名称带表示为主节点*
6.ElasticSearch配置文件说明 cluster.name: my-elasticsearch node.name: es-node1 network.bind_host: 0.0.0.0 network.publish_host: 192.168.70.129 http.port: 9200 transport.tcp.port: 9300 http.cors.enabled: true http.cors.allow-origin: "*" node.master: true node.data: true discovery.zen.ping.unicast.hosts: ["192.168.70.129:9300","192.168.70.129:9301","192.168.70.129:9302"] discovery.zen.minimum_master_nodes: 2