docker安装elasticsearch es

docker search elasticsearch
docker search kibana

docker pull elasticsearch:7.7.0
docker pull kibana:7.7.0

docker pull elasticsearch:7.7.0

docker run --name elasticsearch -d -e ES_JAVA_OPTS="-Xms512m -Xmx512m" -e "discovery.type=single-node" -p 9200:9200 -p 9300:9300 elasticsearch:7.7.0
 

 http://localhost:9200/

-name表示镜像启动后的容器名称  
-d: 后台运行容器，并返回容器ID；
 -e: 指定容器内的环境变量
 -p: 指定端口映射，格式为：主机(宿主)端口:容器端口

#拉取镜像
docker pull mobz/elasticsearch-head:5

#创建容器
docker create --name elasticsearch-head -p 9100:9100 mobz/elasticsearch-head:5

#启动容器
docker start elasticsearch-head
or
docker start 容器id （docker ps -a 查看容器id ）

vi config/elasticsearch.yml

http.cors.enabled: true 
http.cors.allow-origin: "*"

 docker cp ca:/usr/src/app/_site/vendor.js /
 docker cp /vendor.js ca:/usr/src/app/_site

6886行

contentType: "application/json;charset=UTF-8",

7573行

var inspectData = s.contentType === "application/json;charset=UTF-8" &&

https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.7.0/elasticsearch-analysis-ik-7.7.0.zip

#将压缩包移动到容器中
docker cp /tmp/elasticsearch-analysis-ik-7.7.0.zip elasticsearch:/usr/share/elasticsearch/plugins

#进入容器
docker exec -it elasticsearch /bin/bash  

#在容器中创建目录
mkdir /usr/share/elasticsearch/plugins/ik

mv /usr/share/elasticsearch/plugins/elasticsearch-analysis-ik-7.7.0.zip /usr/share/elasticsearch/plugins/ik

cd /usr/share/elasticsearch/plugins/ik

unzip elasticsearch-analysis-ik-7.7.0.zip

#删除压缩包
rm -rf elasticsearch-analysis-ik-7.7.0.zip

 docker pull kibana:7.7.0

elasticsearch命名为elasticsearch
docker run --link elasticsearch:elasticsearch -p 5601:5601 -d kibana:7.7.0

参考来源
https://blog.csdn.net/qq_40942490/article/details/111594267