Elasticsearch 之（52） Java API 基于geo point地理位置对周围汽车4S店进行搜索

比如我们有很多的4s店，然后呢给了用户一个app，在某个地方的时候，可以根据当前的地理位置搜索一下，自己附近的4s店

pom 文件引入

<dependency>
    <groupId>org.locationtech.spatial4j</groupId>
    <artifactId>spatial4j</artifactId>
    <version>0.6</version>                        
</dependency>

<dependency>
    <groupId>com.vividsolutions</groupId>
    <artifactId>jts</artifactId>
    <version>1.13</version>                         
    <exclusions>
        <exclusion>
            <groupId>xerces</groupId>
            <artifactId>xercesImpl</artifactId>
        </exclusion>
    </exclusions>
</dependency>

mapping

POST /car_shop/_mapping/shops
{
  "properties": {
      "pin": {
          "properties": {
              "location": {
                  "type": "geo_point"
              }
          }
      }
  }
}

初始化数据

PUT /car_shop/shops/1
{
    "name": "上海至全宝马4S店",
    "pin" : {
        "location" : {
            "lat" : 40.12,
            "lon" : -71.34
        }
    }
}


PUT /car_shop/shops/2
{
    "name": "上海顺风宝马4S店",
    "pin" : {
        "location" : {
            "lat" : 40.12,
            "lon" : -71.34
        }
    }
}

查询一定数量坐标点组成的范围内的4S店，以及一定距离内的4S店

package com.es.app;

import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.geo.GeoPoint;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.transport.InetSocketTransportAddress;
import org.elasticsearch.common.unit.DistanceUnit;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.transport.client.PreBuiltTransportClient;

import java.net.InetAddress;
import java.util.ArrayList;
import java.util.List;

public class GeoLocationShopSearchApp {

    @SuppressWarnings({ "resource", "unchecked" })
    public static void main(String[] args) throws Exception {
        Settings settings = Settings.builder()
                .put("cluster.name", "elasticsearch")
                .build();

        TransportClient client = new PreBuiltTransportClient(settings)
                .addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("localhost"), 9300));

        //第一个需求：搜索两个坐标点组成的一个区域
        SearchResponse searchResponse = client.prepareSearch("car_shop")
                .setTypes("shops")
                .setQuery(QueryBuilders.geoBoundingBoxQuery("pin.location")
                        .setCorners(40.73, -74.1, 40.01, -71.12))
                .get();

        for(SearchHit searchHit : searchResponse.getHits().getHits()) {
            System.out.println(searchHit.getSourceAsString());
        }

        System.out.println("====================================================");

        //第二个需求：指定一个区域，由三个坐标点，组成，比如上海大厦，东方明珠塔，上海火车站
        List<GeoPoint> points = new ArrayList<>();
        points.add(new GeoPoint(40.73, -74.1));
        points.add(new GeoPoint(40.01, -71.12));
        points.add(new GeoPoint(50.56, -90.58));

        searchResponse = client.prepareSearch("car_shop")
                .setTypes("shops")
                .setQuery(QueryBuilders.geoPolygonQuery("pin.location", points))
                .get();

        for(SearchHit searchHit : searchResponse.getHits().getHits()) {
            System.out.println(searchHit.getSourceAsString());
        }

        System.out.println("====================================================");

        //第三个需求：搜索距离当前位置在200公里内的4s店
        searchResponse = client.prepareSearch("car_shop")
                .setTypes("shops")
                .setQuery(QueryBuilders.geoDistanceQuery("pin.location")
                        .point(40, -70)
                        .distance(200, DistanceUnit.KILOMETERS))
                .get();

        for(SearchHit searchHit : searchResponse.getHits().getHits()) {
            System.out.println(searchHit.getSourceAsString());
        }

        client.close();
    }

}

相关es restful api 可以参考：
《Elasticsearch 之（39）引入geo point地理位置数据类型_矩形范围查询》

《Elasticsearch 之（40）酒店o2o搜索案例以及搜索指定区域内的酒店》
《Elasticsearch 之（41）搜索距离当前位置一定范围内的酒店》
《Elasticsearch 之（41）搜索距离当前位置一定范围内的酒店》