Skip to content

Latest commit

 

History

History
127 lines (113 loc) · 3.39 KB

es_in_docker.md

File metadata and controls

127 lines (113 loc) · 3.39 KB
Raw

Using ElasticSearch In Dockers

Just like everything else, ElasticSearch can also be dockerized.

Content

  • Create the docker-compose
  • Get the containers for ElasticSearch and Kibana up and running
  • Health check with
    • Kibana Console UI
    • curl Command
  • Create a simple document
  • Perform insertion, updatation, retreival and deletion.

Docker-compose File

To begin with, we will be creating a docker-compose file which will bring up ElasticSearch running in single node configuration.

docker-compose.yml

version: "3"

services:
    elasticsearch:
        image: docker.elastic.co/elasticsearch/elasticsearch:7.14.2
        container_name: elasticsearch
        environment:
            - discovery.type=single-node
        volumes:
            - esdata:/usr/share/elasticsearch/data
        ports:
            - 9200:9200
        networks:
            - elastic
        labels:
            - co.elastic.logs/module=elasticsearch
            - co.elastic.metrics/module=elasticsearch
    kibana:
        image: docker.elastic.co/kibana/kibana:7.14.2
        container_name: kibana
        ports:
            - 5601:5601
        depends_on:
            - elasticsearch
        environment:
            ELASTICSEARCH_URL: http://elasticsearch:9200
            ELASTICSEARCH_HOSTS: http://elasticsearch:9200
        networks:
            - elastic
networks:
    elastic:
      driver: bridge
volumes:
    esdata:
      driver: local

ElasticSearch

  1. The line pulls the ElasticSearch image of version 7.14.2 
    image: docker.elastic.co/elasticsearch/elasticsearch:7.14.2
  2. Custom name for the container. 
    container_name: elasticsearch
  3. To run in single node, we set the container environment. 
            environment:
        - discovery.type=single-node
  4. To maintain persistancy of data on restarting the container and to not loose the data, we create a host volume esdata and a container volume /usr/share/elasticsearch/data. Host Volume will maintain the data for multiple restarts of the container. 
        volumes:
        - esdata:/usr/share/elasticsearch/data
  5. Elasticsearch will use port 9200 for requests. 
        ports:
        - 9200:9200
  6. To maintain the security from the other networks in docker we have created a common network for both kibana and elasticsearch 
        networks:
        - elastic

Kibana

  1. We have to use the same version of kibana as elasticsearch 
    image: docker.elastic.co/kibana/kibana:7.14.2
  2. Custom name for the container. 
    container_name: kibana
  3. Kibana will connect to the container of elasticsearch with this service name and port. yaml environment: ELASTICSEARCH_URL: http://elasticsearch:9200 ELASTICSEARCH_HOSTS: http://elasticsearch:9200
  4. This property tells Kibana service to run after the ElasticSearch container is up. 
        depends_on:
        - elasticsearch
  5. Kibana will use port 9200 for visualising the elasticsearch 
        ports:
        - 5601:5601

Getting The Container Up And Running

Lets execute the docker-compose.yml to bring up ElasticSearch and Kibana containers.

docker-compose --compatibility up