ES为用户提供了基于地理位置的搜索功能。它主要支持两种类型的地理查询:一种是地理点(geo_point),即经纬度查询,另一种是地理形状查询(geo_shape),即支持点,线,圆形和多边形等查询。
从实用性来说,地理点(即geo_point)数据类型的使用更多一些,对于geo_point字段类型的查询方式有三种,分别为geo_distance查询(圆形区域查询),geo_bounding_box查询(矩形区域查询)和geo_polygon查询(多边形区域查询)。
1.geo_distance圆形区域查询
geo_distance需要指定一个坐标点,在指定该点距离的范围后,ES可查询到以该点为中心,距离为半径的圆形区域的数据。
1.1 查询的DSL
GET index_school/_search
{
"_source": [ // 只返回部分字段
"name",
"latitude",
"longitude",
"devideNo",
"time"
],
"query": {
"geo_distance":{
"distance": "5km", // 距离范围(半径)为5km
"location":{ //中心点经纬度
"lat": "18.231472",
"lon": "109.502083"
}
}
}
}
1.2 java实现
SearchRequest request = new SearchRequest(tableName);
BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
boolQuery.filter(QueryBuilders.geoDistanceQuery("location") //指定索引字段
.distance(inputDTO.getDistance()) //距离中心点范围(半径)
.point(18.231472,109.502083)); //中心点
request.source().query(boolQuery).size(10000).trackTotalHits(true);
SearchResponse response = restHighLevelClient.search(request, RequestOptions.DEFAULT);
2.geo_bounding_box矩形区域查询
geo_bounding_box查询提供的是矩形内的搜索,需要提供左上角和右下角的顶点坐标。文章来源:https://www.toymoban.com/news/detail-528685.html
2.1 查询的DSL
GET index_school/_search
{
"_source": [
"name",
"latitude",
"longitude",
"devideNo",
"time"
],
"query": {
"geo_bounding_box":{
"location":{
"top_left":{ //设置左上角顶点坐标
"lat": "18.431472",
"lon": "109.502083"
},
"bottom_right":{ //设置右下角顶点坐标
"lat": "18.231472",
"lon": "109.202083"
}
}
}
}
}
2.2 java实现
SearchRequest request = new SearchRequest(tableName);
BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
boolQuery.filter(QueryBuilders.geoBoundingBoxQuery("location") //指定索引字段
.setCorners(inputDTO.getYMax(), inputDTO.getXMin(), //构造矩形
inputDTO.getYMin(), inputDTO.getXMax()));
request.source().query(boolQuery).size(10000).trackTotalHits(true);
SearchResponse response = restHighLevelClient.search(request, RequestOptions.DEFAULT);
3.geo_polygon多边形区域查询
geo_polygon比geo_bounding_box提供的地理范围功能更加灵活,它支持灵活多变的多边形内数据查询,使用该查询需要提供多边形所有顶点的坐标。文章来源地址https://www.toymoban.com/news/detail-528685.html
3.1 查询的DSL
GET index_school/_search
{
"query": {
"geo_polygon":{
"location":{
"points":[
{
"lat": "20.219935",
"lon": "109.700590"
},
{
"lat": "20.118963",
"lon": "109.865898"
},
{
"lat": "20.148887",
"lon": "110.1842848"
},
{
"lat": "20.355594",
"lon": "111.097193"
},
{
"lat": "20.295775",
"lon": "111.791273"
}
]
}
}
}
}
3.2 java实现
String AREA_POINTS =
"109.70059057645672,20.219935185668575," +
"109.86589885747735,20.11896383759739," +
"110.18428481460053,20.148887724639927," +
"111.09719394252089,20.355594505110506," +
"111.79127352756524,20.295775199436054," +
"111.44955008175484,19.864326194135216," +
"110.65937420024187,18.52295323361459," +
"109.76478316052932,17.989118493905913," +
"109.57997296428381,17.95228226006386";
SearchRequest request = new SearchRequest(tableName);
BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
List<GeoPoint> points = new ArrayList<>();
String[] strings = AREA_POINTS.split(",");
for (int i = 0; i < strings.length; i = i + 2) {
points.add(new GeoPoint(Double.valueOf(strings[i + 1]), Double.valueOf(strings[i])));
}
boolQuery.filter(QueryBuilders.geoPolygonQuery("location",points));
request.source().query(boolQuery).size(10000).trackTotalHits(true);
SearchResponse response = restHighLevelClient.search(request, RequestOptions.DEFAULT);
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