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Elasticsearch地理位置查询

2023-02-18 16:33:36 时间

Elasticsearch支持两种类型的地理数据:支持lat/lon对的geo_point字段和支持点、线、圆圈、多边形、多多边形等的geo_shape字段。

下面只介绍geo_point

创建名称为geo的索引

curl --location --request PUT 'localhost:9200/geo' \
--header 'Content-Type: application/json' \
--data-raw '{
  "settings": {
    "number_of_replicas": 3,
    "number_of_shards": 5
  },
   "mappings": {
    "properties": {
      "name":{
        "type": "text"
      },
      "location":{
        "type": "geo_point"
      }
    }
  }
}'

添加测试数据

curl --location --request PUT 'localhost:9200/geo/_doc/2' \
--header 'Content-Type: application/json' \
--data-raw '{
  "name":"海淀公园",
  "location":
  {
    "lon":116.302509,
    "lat":39.991152
  }
}'

curl --location --request PUT 'localhost:9200/geo/_doc/1' \
--header 'Content-Type: application/json' \
--data-raw '{
  "name":"天安门",
  "location":
  {
    "lon":116.403981,
    "lat":39.914492
  }
}'

curl --location --request PUT 'localhost:9200/geo/_doc/3' \
--header 'Content-Type: application/json' \
--data-raw '{
  "name":"北京动物园",
  "location":
  {
    "lon":116.343184,
    "lat":39.947468
  }
}'

geo_point支持三种类型的查询

  • geo_distance
  • geo_bounding_box
  • geo_polygon

geo_distance:直线距离检索,如给定点A,要求返回地图上距离点A三千米的商家

查找索引内距离北京站(116.433733,39.908404)3000米内的点

涉及的参数如下

  • location:确定一个点;
  • distance:确定一个半径,单位米
  • distance_type:确定一个图形的类型,一般是圆形,arc
curl --location --request GET 'localhost:9200/geo/_search' \
--header 'Content-Type: application/json' \
--data-raw '{
  "query": {
    "geo_distance": {
      "location": {
        "lon":116.433733
        ,"lat":39.908404
      },
      "distance":3000,
      "distance_type":"arc"
    }
  }
}'

geo_bounding_box:以两个点确定一个矩形,获取在矩形内的全部数据

查找索引内位于中央民族大学(116.326943,39.95499)以及京站(116.433733,39.908404)矩形的点

涉及的参数如下

  • top_left: 左上角的矩形起始点经纬度;
  • bottom_right: 右下角的矩形结束点经纬度
curl --location --request GET 'localhost:9200/geo/_search' \
--header 'Content-Type: application/json' \
--data-raw '{
  "query": {
    "geo_bounding_box": {
      "location": {
        "top_left": {
          "lon": 116.326943,
          "lat": 39.95499
        },
        "bottom_right": {
          "lon": 116.433446,
          "lat": 39.908737
        }
      }
    }
  }
}'

geo_polygon:以多个点,确定多边形,获取多边形内的全部数据

查找索引内位于西苑桥(116.300209,40.003423),巴沟山水园(116.29561,39.976004)以及北京科技大学(116.364528,39.996348)三角形内的点

涉及的参数如下

  • points:是个数组,存储多变形定点的经纬度,每个点用大括号包起来
curl --location --request GET 'localhost:9200/geo/_search' \
--header 'Content-Type: application/json' \
--data-raw '{
  "query": {
    "geo_polygon": {
      "location": {
        "points": [
          {
            "lon": 116.29561,
            "lat": 39.976004
          },
          {
            "lon": 116.364528,
            "lat": 39.996348
          },
          {
            "lon": 116.300209,
            "lat": 40.003423
          }
        ]
      }
    }
  }
}'

参考

https://www.elastic.co/guide/en/elasticsearch/reference/7.17/geo-queries.html

https://blog.csdn.net/wuxintdrh/article/details/115367301