第一个例子

建立映射

PUT /my_index { "mappings": { "my_type": { "properties": { "location" : { "type": "geo_point" //地理位置的分词器是geo_point } } } } }

填充数据

PUT my_index/my_type/1 { "text": "Geo-point as an object", "location": { "lat": 41.12, //latitude ：纬度的缩写 "lon": -71.34 //longitude : 经度的缩写 } }

根据地理位置进行查询

GET /my_index/my_type/_search { "query": { "geo_bounding_box": { "location": { "top_left" : { "lat" : 42, "lon" : -72 }, "bottom_right" : { "lat" : 40, "lon" : -74 } } } } } //有一点很奇怪，经纬度和坐标系有点不一样

第二个例子

酒店O2O

//建立索引 PUT /hotel_app { "mappings": { "hotels" : { "properties": { "bin" : { "properties": { "location" : { "type" : "geo_point" } } } } } } } //填充数据 PUT /hotel_app/hotels/1 { "name": "喜来登大酒店", "pin" : { "location" : { "lat" : 40.12, "lon" : -71.34 } } } //搜索(两点矩形) GET /hotel_app/hotels/_search { "query": { "bool": { "must": [ {"match_all": {}} ], "filter": { "geo_bounding_box": { "pin.location": { "top_left" : { "lat" : 40.73, "lon" : -74.1 }, "bottom_right" : { "lat" : 40.01, "lon" : -71.12 } } } } } } } //搜索(多点，多边形) GET /hotel_app/hotels/_search { "query": { "bool": { "must": [ {"match_all": {}} ], "filter": { "geo_polygon": { "pin.location": { "points": [ {"lat" : 40.73, "lon" : -74.1}, {"lat" : 40.01, "lon" : -71.12}, {"lat" : 50.56, "lon" : -90.58} ] } } } } } } //搜索(根据距当前位置的距离) GET /hotel_app/hotels/_search { "query": { "bool": { "must": [ {"match_all": {}} ], "filter": { "geo_distance": { "distance": "1000km", "pin.location": { "lat": 40, "lon": -74 } } } } } } //聚合分析，（距离当前位置一定范围内有多少个酒店） GET /hotel_app/hotels/_search { "size": 0, "aggs": { "count_by_distinct": { "geo_distance": { "field": "pin.location", //要分析的点 "origin": { //当前位置经纬度 "lat": 40, "lon": 70 }, "ranges": [ //范围控制 {"to" : 100}, { "from": 100, "to": 300 }, {"from": 300} ], "unit": "mi", //单位 "distance_type": "arc" //排序，这个比较消耗性能，请谨慎使用 } } } }