server

Run multiple Elasticsearch instances on one server using Docker

· John Doe

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<Without docker-compose.yml>

1. Install Docker

2. Elasticsearch 7.16.2

2-1. Install Elasticsearch

# docker pull docker.elastic.co/elasticsearch/elasticsearch:7.16.2

2-2. Execute Elasticsearch

# docker run -d -p 9200:9200 -p 9300:9300 --name es_x -e "discovery.type=single-node" -e "xpack.security.enabled=false" -e ES_JAVA_OPTS="-Xms200m -Xmx200m" docker.elastic.co/elasticsearch/elasticsearch:7.16.2
8fd1161fed14b8e048e0f929a37cfacbab56371dc4c2b134602469c321cc0421

2-3. Check Execution

# docker ps
CONTAINER ID   IMAGE                                                  COMMAND                  CREATED          STATUS          PORTS                                            NAMES
8fd1161fed14   docker.elastic.co/elasticsearch/elasticsearch:7.16.2   "/bin/tini -- /usr/l…"   45 seconds ago   Up 43 seconds   0.0.0.0:9200->9200/tcp, 0.0.0.0:9300->9300/tcp   es_x

2-4. Check your Elasticsearch settings

# docker exec -i -t es_x cat /usr/share/elasticsearch/config/elasticsearch.yml
cluster.name: "docker-cluster"
network.host: 0.0.0.0

2-5. Stop

# docker stop es_x
es_x

 

<With docker-compose.yml>

1. See up to and including Item 2-1.

2. docker-compose.yml

version: '3.6'
services:
  elasticsearch:
    image: 'docker.elastic.co/elasticsearch/elasticsearch:7.16.2'
    container_name: es_a
    ports:
      - 9200:9200
    environment:
      - node.name="es_a"
      - cluster.name="es-docker-cluster"
      - bootstrap.memory_lock=true
      - discovery.type=single-node
      #- "ES_JAVA_OPTS=-Xms200m -Xmx200m"
    volumes:
      - ./esdata:/usr/share/elasticsearch/data
      - ./eslog:/usr/share/elasticsearch/log
    ulimits:
      memlock:
        soft: -1
        hard: -1
    networks:
      - elastic
    deploy:
      resources:
        limits:
          memory: 1GB  # Use at most 50 MB of RAM
  elasticsearch2:
    image: 'docker.elastic.co/elasticsearch/elasticsearch:7.16.2'
    container_name: es_b
    ports:
      - 9201:9200
    environment:
      - node.name="es_b"
      - cluster.name="es-docker-cluster2"
      - bootstrap.memory_lock=true
      - discovery.type=single-node
      #- "ES_JAVA_OPTS=-Xms200m -Xmx200m"
    volumes:
      - ./esdata2:/usr/share/elasticsearch/data
      - ./eslog2:/usr/share/elasticsearch/log
    ulimits:
      memlock:
        soft: -1
        hard: -1
    networks:
      - elastic2
    deploy:
      resources:
        limits:
          memory: 1GB  # Use at most 50 MB of RAM

volumes:
  esdata:
    driver: local
    driver_opts:
      o: bind
      type: none
      #device: /data
  esdata2:
    driver: local
    driver_opts:
      o: bind
      type: none
      #device: /data2
  eslog:
    driver: local
  eslog2:
    driver: local

networks:
  elastic:
    driver: bridge
  elastic2:
    driver: bridge
# docker-compose -f docker-compose.yml up -d
# docker-compose -f docker-compose.yml stop
# docker-compose -f docker-compose.yml rm

3. Result

# docker-compose -f docker-compose.yml up -d
[+] Running 2/2
 - Container es_a  Started                                                                                                                                                                       2.1s
 - Container es_b  Started
# docker-compose -f docker-compose.yml stop
[+] Running 2/2
 - Container es_a  Stopped                                                                                                                                                                       1.2s
 - Container es_b  Stopped

3-1. 9200

{
  "name" : "\"es_a\"",
  "cluster_name" : "\"es-docker-cluster\"",
  "cluster_uuid" : "KwFTIgGCT7e8ZDNJIau6Jw",
  "version" : {
    "number" : "7.16.2",
    "build_flavor" : "default",
    "build_type" : "docker",
    "build_hash" : "2b937c44140b6559905130a8650c64dbd0879cfb",
    "build_date" : "2021-12-18T19:42:46.604893745Z",
    "build_snapshot" : false,
    "lucene_version" : "8.10.1",
    "minimum_wire_compatibility_version" : "6.8.0",
    "minimum_index_compatibility_version" : "6.0.0-beta1"
  },
  "tagline" : "You Know, for Search"
}

3-2. 9201

{
  "name" : "\"es_b\"",
  "cluster_name" : "\"es-docker-cluster2\"",
  "cluster_uuid" : "MZhKEnPuTdu5iNoatWOnQA",
  "version" : {
    "number" : "7.16.2",
    "build_flavor" : "default",
    "build_type" : "docker",
    "build_hash" : "2b937c44140b6559905130a8650c64dbd0879cfb",
    "build_date" : "2021-12-18T19:42:46.604893745Z",
    "build_snapshot" : false,
    "lucene_version" : "8.10.1",
    "minimum_wire_compatibility_version" : "6.8.0",
    "minimum_index_compatibility_version" : "6.0.0-beta1"
  },
  "tagline" : "You Know, for Search"
}

 

* If error raised 'Custom Analyzer [nori_korean] failed to find tokenizer under name [nori_tokenizer]'

Install Korean (nori) Analysis Plugin

# sudo bin/elasticsearch-plugin install analysis-nori

The plugin must be installed on every node in the cluster, and each node must be restarted after installation.

 

* Cannot bind to some ports due to permission denied

Run as admin:

net stop winnat
net start winnat

 

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IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation. Elastic Docs› Elasticsearch Plugins and Integrations [6.4]› Analysis Plugins « kuromoji_numbe

 

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