How to install kibana tokenizer inside docker container

step:

1. Create a new docker-compose.yml file in the virtual machine directory, and then enter the yml file editor

vi docker-compose.yml

2. Add the following code to the yml file:

version: "3.1"
services:
 elasticsearch:
  image: daocloud.io/library/elasticsearch:6.5.4
  restart: always
  container_name: elasticsearch
  ports:
   - 9200:9200 
    #Map the tokenizer to volumes inside the container:
	 - ./ik:/usr/share/elasticsearch/plugins/ik
  kibana:
   image: daocloud.io/library/kibana:6.5.4
   restart: always
   container_name: kibana
   ports:
    -5601:5601
   environment:
     #Fill in the IP address of the virtual machine here - elasticsearch_url=http://192.168.199.109:9200
   depends_on:
    - elasticsearch

3. Press Esc : wq to save and exit the yml file 4. Create a new ik folder in the current directory (at the same level as docker-compose.yml) 5. Install the unzip software:

yum install zip

6. Copy elasticsearch-analysis-ik-6.5.4.zip to the virtual machine (it is recommended to use MobaXterm_Personal software, directly pull the compressed package from the local computer to the virtual machine), and execute the decompression command in the directory where the copied elasticsearch-analysis-ik-6.5.4.zip is located

unzip elasticsearch-analysis-ik-6.5.4.zip -d /usr/local/elasticsearch/ik

7. Return to the directory where the newly created docker-compose.yml file is located and execute the command:

docker-compose up -d

In this way, elasticsearch and kibana tokenizers are installed! ! ! Moreover, kibana is installed inside the docker container and will not disappear due to the execution of the docker down command.

This is the end of this article on how to install the kibana tokenizer inside a docker container. For more information about installing the kibana tokenizer on docker, please search for previous articles on 123WORDPRESS.COM or continue to browse the following related articles. I hope you will support 123WORDPRESS.COM in the future!