Detailed explanation of deploying Elasticsearch kibana and ik word segmenter in docker

docker pull elasticsearch:7.4.0

# -d : Run in the background# -p : Specify the port mapping between the host and the docker container# --name : Give the elasticsearch container an alias# -e : Specify single-node cluster mode# docker run -d --name elasticsearch -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" elasticsearch:7.4.0

docker run -id --name es -d -p 9200:9200 -p 9300:9300 -v /usr/share/elasticsearch/plugins:/usr/share/elasticsearch/plugins -e "discovery.type=single-node" elasticsearch:7.4.0
-v /usr/share/elasticsearch/plugins:/usr/share/elasticsearch/plugins #To configure this, you don't need to enter the container to operate. Just unzip the ik word segmenter to this directory and ojbk it.

find / -name jvm.options
vim /var/lib/docker/overlay2/1df979ae710529bc978409973092d28608f927ab6c4b26f5e2c0ffee06e3ac1e/diff /usr/share/elasticsearch/config/jvm.options

docker pull kibana:7.4.0
# -e : Specify environment variable configuration, provide Chinese translation# --like : Establish an association between two containers, kibana is associated with es
# If you are not used to Chinese, you can remove the condition docker run -d --name kibana --link es:es-p 5601:5601 kibana:7.4.0

docker exec -it kibana /bin/bash #Enter the container and change the host
cd config
vi kibana.yml
Change host to 0.0.0.0
Change the address to public network ip+9200

docker logs kibana