# Elasticsearch

# 一、安装

# 1.1 Docker 安装

# 下载镜像

docker pull kibana:7.12.1
docker pull elasticsearch:7.12.1

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# 配置网络

【es 搜索数据库】和kibana 【可视化工具】容器互联！

docker network create es-net

# 单点运行kiba

docker run -d \
  --name es \
    -e "ES_JAVA_OPTS=-Xms512m -Xmx512m" \
    -e "discovery.type=single-node" \
    -v es-data:/usr/share/elasticsearch/data \
    -v es-plugins:/usr/share/elasticsearch/plugins \
    --privileged \
    --network es-net \
    -p 9200:9200 \
    -p 9300:9300 \
elasticsearch:7.12.1

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在浏览器中输入：http://ip地址:9200 即可看到elasticsearch的响应结果！

# 单点运行kibana! 提供数据可视化！

docker run -d \
--name kibana \
-e ELASTICSEARCH_HOSTS=http://es:9200 \
--network=es-net \
-p 5601:5601  \
kibana:7.12.1

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此时，在浏览器输入地址访问：http://ip地址:5601，即可看到结果！打开DevTools，进行es库操作！

# 配置ik中文分词器

GitHub地址：elasticsearch-analysis-ik (opens new window)

[root@docker ~]# docker volume inspect es-plugins
[
    {
        "CreatedAt": "2022-12-07T16:03:43+08:00",
        "Driver": "local",
        "Labels": null,
        "Mountpoint": "/var/lib/docker/volumes/es-plugins/_data",
        "Name": "es-plugins",
        "Options": null,
        "Scope": "local"
    }
]
# 将ik解压，导入到_data下
[root@docker ~]# cd /var/lib/docker/volumes/es-plugins/_data
[root@docker _data]# mkdir ik
[root@docker _data]# cd ik
[root@docker ik]# unzip ~/elasticsearch-analysis-ik-7.12.1.zip

docker restart es 即可！

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分词测试

POST /_analyze
{
  "analyzer": "standard",
  "text": "今天天气太好了！very good！"
}

//使用ik分词器，进行中文分词！

POST /_analyze
{
  "analyzer": "ik_smart",
  "text": "今天天气太好了！very good！"
}

POST /_analyze
{
  "analyzer": "ik_max_word",
  "text": "今天天气太好了！very good！"
}

//执行下下面这句话!创建下结构
# 创建商品索引!
# 根据多列搜索性能较差,组成成一列搜索提高性能
PUT /product
{
  "mappings": {
    "properties": {
      "productId":{
        "type": "integer"
      },
      "productName":{
        "type": "text",
        "analyzer": "ik_smart",
        "copy_to": "all"
      },
      "categoryId":{
        "type": "integer"
      },
      "productTitle":{
        "type": "text",
        "analyzer": "ik_smart",
        "copy_to": "all"
      },
      "productIntro":{
        "type":"text",
        "analyzer": "ik_smart",
        "copy_to": "all"
      },
      "productPicture":{
        "type": "keyword",
        "index": false
      },
      "productPrice":{
        "type": "double",
        "index": true
      },
      "productSellingPrice":{
        "type": "double"
      },
      "productNum":{
        "type": "integer"
      },
      "productSales":{
        "type": "integer"
      },
      "all":{
        "type": "text",
        "analyzer": "ik_max_word"
      }
    }
  }
}

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