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本文是笔者使用ES的过程对指令和操作的笔记，后续有时间继续补充。
对于ES的一些集群、索引、文档、搜索的操作指令我用postman分享到网盘，密码:x0tb。下载导入即可用。

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Docker部署

单点

// 
docker run -d --name es -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" -v es:/usr/share/elasticsearch/data  elasticsearch:7.2.0

集群

用docker-compose部署集群
docker-compose.yml：

version: '2.2'
services:
  es01:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.2.0
    container_name: es01
    environment:
      - node.name=es01
      - discovery.seed_hosts=es02
      - cluster.initial_master_nodes=es01,es02
      - cluster.name=docker-cluster
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    ulimits:
      memlock:
        soft: -1
        hard: -1
    volumes:
      - esdata01:/usr/share/elasticsearch/data
    ports:
      - 9200:9200
    networks:
      - esnet
  es02:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.2.0
    container_name: es02
    environment:
      - node.name=es02
      - discovery.seed_hosts=es01
      - cluster.initial_master_nodes=es01,es02
      - cluster.name=docker-cluster
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    ulimits:
      memlock:
        soft: -1
        hard: -1
    volumes:
      - esdata02:/usr/share/elasticsearch/data
    networks:
      - esnet

volumes:
  esdata01:
    driver: local
  esdata02:
    driver: local

networks:
  esnet:

终端运行

docker-compose up

安装ik分词插件：

集群

// 集群
docker-compose exec es01 elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.2.0/elasticsearch-analysis-ik-7.2.0.zip
docker-compose exec es02 elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.2.0/elasticsearch-analysis-ik-7.2.0.zip
//然后要重启es容器
docker-compose restart es01
docker-compose restart es02

单点

// 进入容器es
docker exec -it es /bin/bash
// 使用bin目录下的elasticsearch-plugin install安装ik插件
bin/elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.1.1/elasticsearch-analysis-ik-7.1.1.zip
// 再重启下容器
docker restart es

验证分词插件是否安装成功

// 增加一个叫test001的索引
curl -X PUT http://localhost:9200/test001
// 成功返回 {"acknowledged":true,"shards_acknowledged":true,"index":"test001"}

// ik_smart分词
curl -X POST \
'http://127.0.0.1:9200/test001/_analyze?pretty=true' \
-H 'Content-Type: application/json' \
-d '{"text":"我们是软件工程师","tokenizer":"ik_smart"}'

// ik_max_word分词
curl -X POST \
'http://127.0.0.1:9200/test001/_analyze?pretty=true' \
-H 'Content-Type: application/json' \
-d '{"text":"我们是软件工程师","tokenizer":"ik_max_word"}'

返回结果

ik_smart分词 ik_max_word分词

可以看到ik_max_word分词更精细。