3.ElasticSearch系列之Docker本地部署

对于之前的部署方式一般用于生产环境，而对于学习而言Docker方式快速部署就好了，本示例在window10环境下进行。

1. Docker使用Elasticsearch 需要对vm.max_map_count进行如下配置

# Windows and macOS with Docker Desktop
docker-machine ssh
sudo sysctl -w vm.max_map_count=262144
# Windows with  Docker Desktop WSL 2 backend
wsl -d docker-desktop
sysctl -w vm.max_map_count=262144

2. docker-compose方式部署

version: '3'
services:
  kibana:
    image: docker.elastic.co/kibana/kibana:7.11.2
    container_name: kibana711
    environment:
      - I18N_LOCALE=zh-CN
      - XPACK_GRAPH_ENABLED=true
      - TIMELION_ENABLED=true
      - XPACK_MONITORING_COLLECTION_ENABLED="true"
    ports:
      - "5601:5601"
    networks:
      - es711net
  elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.11.2
    container_name: es711
    environment:
      - cluster.name=shenjian
      - node.name=es711
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms1024m -Xmx1024m"
      - discovery.seed_hosts=es711
      - cluster.initial_master_nodes=es711
    ulimits:
      memlock:
        soft: -1
        hard: -1
    volumes:
      - es73data1:/usr/share/elasticsearch/data
    ports:
      - 9200:9200
    networks:
      - es711net

volumes:
  es73data1:
    driver: local

networks:
  es711net:
    driver: bridge

验证ES节点 http://127.0.0.1:9200/

{
  "name" : "es711",
  "cluster_name" : "shenjian",
  "cluster_uuid" : "UCRt6zcbTEKVJHD8nRjkQA",
  "version" : {
    "number" : "7.11.2",
    "build_flavor" : "default",
    "build_type" : "docker",
    "build_hash" : "3e5a16cfec50876d20ea77b075070932c6464c7d",
    "build_date" : "2021-03-06T05:54:38.141101Z",
    "build_snapshot" : false,
    "lucene_version" : "8.7.0",
    "minimum_wire_compatibility_version" : "6.8.0",
    "minimum_index_compatibility_version" : "6.0.0-beta1"
  },
  "tagline" : "You Know, for Search"
}

访问Kibana http://127.0.0.1:5601/

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