Technical Note
1. Setting max_map_count cannot start es and it will not start
View the value of max_map_count 默认是65530
cat /proc/sys/vm/max_map_count
Reset the value of max_map_count
sysctl -w vm.max_map_count=262144
2. Download the image and run it
#Pull image
docker pull elasticsearch:7.7.0
# start mirroring
#拉取镜像
docker pull elasticsearch:7.7.0
#启动镜像
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
Parameter Description
--name indicates the name of the container after the image is started
-d: Run the container in the background and return the container ID;
-e: Specifies the environment variable in the container
-p: Specify port mapping in the format: host (host) port: container port
3. Browser access ip:9200 If the following interface appears, the installation is successful
4. Install elasticsearch-head
#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 ）
5. Open the browser: http://IP:9100
尝试连接easticsearch会发现无法连接上，由于是前后端分离开发，所以会存在跨域问题，需要在服务端做CORS的配置。
解决办法
6. Modify the elasticsearch.yml file of elasticsearch in docker
docker exec -it elasticsearch /bin/bash (can't get in, use the container id to get in)
vi config/elasticsearch.yml
Add 2 lines at the bottom
http.cors.enabled: true
http.cors.allow-origin: "*"
Exit and restart the service
exit docker
restart container id
7. Do not modify the configuration during ElasticSearch-head operation, and the 406 error code will be reported by default
#复制vendor.js到外部
docker cp fa85a4c478bf:/usr/src/app/_site/vendor.js /usr/local/
#修改vendor.js
vim vendor.js
The modification is completed and copied back to the container
docker cp /usr/local/vendor.js fa85a4c478bf:/usr/src/app/_site
restart elasticsearch-head
docker restart container id
It is best to query the es data
8. Install ik tokenizer
Use offline installation here
Download the tokenizer compressed package
Download address:
https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.7.0/elasticsearch-analysis-ik-7.7.0.zip
Upload the IK tokenizer to the /tmp directory (xftp)
Install the tokenizer into the container
#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
#创建目录
mkdir /usr/share/elasticsearch/plugins/ik
#将文件压缩包移动到ik中
mv /usr/share/elasticsearch/plugins/elasticsearch-analysis-ik-7.7.0.zip /usr/share/elasticsearch/plugins/ik
#进入目录
cd /usr/share/elasticsearch/plugins/ik
#解压
unzip elasticsearch-analysis-ik-7.7.0.zip
#删除压缩包
rm -rf elasticsearch-analysis-ik-7.7.0.zip
Exit and restart the mirror
Original link: https://blog.csdn.net/qq_40942490/article/details/111594267