ElasticSearch環境搭建Docker版

1、獲取鏡像

docker pull elasticsearch:7.2.0

2、啟動es

docker run --name elasticsearch -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" -d elasticsearch:7.2.0

3、驗證是否安裝並啟動成功； 展示如下信息表示安裝成功

[root@localhost ~]# curl http://localhost:9200
{
  "name" : "ZSB9Dkf",
  "cluster_name" : "docker-cluster",
  "cluster_uuid" : "QtsepaY0SriSUUgLI_2IHQ",
  "version" : {
    "number" : "6.4.3",
    "build_flavor" : "default",
    "build_type" : "tar",
    "build_hash" : "fe40335",
    "build_date" : "2018-10-30T23:17:19.084789Z",
    "build_snapshot" : false,
    "lucene_version" : "7.4.0",
    "minimum_wire_compatibility_version" : "5.6.0",
    "minimum_index_compatibility_version" : "5.0.0"
  },
  "tagline" : "You Know, for Search"
}
[root@localhost ~]# 

4、修改配置，解決跨域問題

#進入容器
docker exec -it elasticsearch /bin/bash
#進入配置文件
cd /usr/share/elasticsearch/config/
#編輯文件
vi elasticsearch.yml
#加入信息
http.cors.enabled: true
http.cors.allow-origin: "*"

exit
退出容器

#重啟容器
docker restart elasticsearch

5、es自帶的分詞器對中文分詞不是很友好，所以我們下載開源的IK分詞器來解決這個問題

1、進入容器
docker exec -it elaseticsearch /bin/bash
2、進入插件目錄
cd /usr/share/elasticsearch/plugins/
3、下載安裝插件【對應版本與es保持一致】
elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.2.0/elasticsearch-analysis-ik-7.2.0.zip
4、通出容器
exit
5、重啟es
docker restart elasticsearch 

6、kibana安裝

1、拉取鏡像與es保持版本一致
docker pull kibana:7.2.0
2、運行容器
docker run --name kibana --link=elasticsearch:test -p 5601:5601 -d kibana:7.2.0
3、啟動
docker start kibana

7、IE上驗證