安裝ES
構建容器&運行
docker run --name es -d -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:7.13.2
docker exec -it es bash
進入容器& 編輯文件
cd config
vi elasticsearch.yml
http.cors.enabled: true http.cors.allow-origin: "*" http.cors.allow-headers: Authorization xpack.security.enabled: true xpack.security.transport.ssl.enabled: true
設置密碼
cd bin elasticsearch-setup-passwords interactive
退出&重啓
exit
docker restart es
安裝kibana
構建容器&運行
YOUR_ELASTICSEARCH_CONTAINER_NAME_OR_ID:Elasticsearch容器的名字或容器ID
docker run --name kibana -d --link YOUR_ELASTICSEARCH_CONTAINER_NAME_OR_ID:elasticsearch -p 5601:5601 docker.elastic.co/kibana/kibana:7.13.2
進入容器& 編輯文件
docker exec -it kibana bash
cd config
vi kibana.yml
server.name: kibana server.host: "0.0.0.0" elasticsearch.hosts: [ "http://{IpAddress}:9200" ] monitoring.ui.container.elasticsearch.enabled: true elasticsearch.username: "elastic" elasticsearch.password: "password" i18n.locale: "zh-CN"
退出&重啓
exit
docker restart kibana
安裝分析器
mkdir -p /data/elk/es/ik
分詞器下載地址:https://github.com/medcl/elasticsearch-analysis-ik/tags
docker cp /data/elk/es/ik es:/usr/share/elasticsearch/plugins/ik/
- docker cp 複製文件到docker內部
- /data/elk/es/ik ik分詞器路徑
- es es容器名稱
- /usr/share/elasticsearch/plugins/ik/ docker內es插件路徑
docker restart es