引入依赖
| <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>
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添加types
| POST /car_shop/_mapping/shops { "properties": { "pin": { "properties": { "location": { "type": "geo_point" } } } } }
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插入测试数据
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
| PUT /car_shop/shops/1 { "name": "上海至全宝马4S店", "pin" : { "location" : { "lat" : 40.12, "lon" : -71.34 } } }
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第一个需求：搜索两个坐标点组成的一个区域
| QueryBuilder qb = geoBoundingBoxQuery("pin.location").setCorners(40.73, -74.1, 40.01, -71.12);
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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));
QueryBuilder qb = geoPolygonQuery("pin.location", points);
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第三个需求：搜索距离当前位置在200公里内的4s店
| QueryBuilder qb = geoDistanceQuery("pin.location").point(40, -70).distance(200, DistanceUnit.KILOMETERS);
SearchResponse response = client.prepareSearch("car_shop") .setTypes("shops") .setQuery(qb) .get();
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| package com.es.core.senior;
import java.net.InetAddress; import java.util.ArrayList; import java.util.List;
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;
public class GeoLocationShopSearchApp {
@SuppressWarnings({ "unchecked", "resource" }) 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)); // 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("====================================================");
List<GeoPoint> points = new ArrayList<GeoPoint>(); 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("====================================================");
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(); }
} |
结果：
| { "name": "上海至全宝马4S店", "pin" : { "location" : { "lat" : 40.12, "lon" : -71.34 } } }
==================================================== { "name": "上海至全宝马4S店", "pin" : { "location" : { "lat" : 40.12, "lon" : -71.34 } } }
==================================================== { "name": "上海至全宝马4S店", "pin" : { "location" : { "lat" : 40.12, "lon" : -71.34 } } }
Process finished with exit code 0 |