mongodb可支持空间地理搜索:
查询器
$geoWithin Selects geometries within a bounding GeoJSON geometry. The 2dsphere and 2d indexes support $geoWithin. replaces $within which is deprecated.$geoIntersects Selects geometries that intersect with a GeoJSON geometry. The 2dsphere index supports $geoIntersects.$near Returns geospatial objects in proximity to a point. Requires a geospatial index. The 2dsphere and 2d indexes support $near.$nearSphere Returns geospatial objects in proximity to a point on a sphere. Requires a geospatial index. The 2dsphere and 2d indexes support $nearSphere.
查询参数:
| Specifies a geometry in format to geospatial query operators. | |
Specifies a minimum distance to limit the results of and queries. For use with 2dsphere index only. | |
| Specifies a maximum distance to limit the results of and queries. The and indexes support . | |
| Specifies a circle using legacy coordinate pairs to queries when using planar geometry. The index supports . | |
| Specifies a circle using either legacy coordinate pairs or format for queries when using spherical geometry. The and indexes support . | |
| Specifies a rectangular box using legacy coordinate pairs for queries. The index supports . | |
| Specifies a polygon to using legacy coordinate pairs for queries. The index supports. | |
| Deprecated. Modifies a and queries to ensure that even if a document matches the query multiple times, the query returns the document once. |
1, geoWithIn查询, 替代以前的wihin查询, 查询多边形范围内的点
db.places.find( { loc: { $geoWithin: { $geometry: { type : "Polygon" , coordinates: [ [ [ 0, 0 ], [ 3, 6 ], [ 6, 1 ], [ 0, 0 ] ] ] } } } }) 对于大于单个半球的查询, 需要加入crs
db.places.find( { loc: { $geoWithin: { $geometry: { type : "Polygon" , coordinates: [ [ [ -100, 60 ], [ -100, 0 ], [ -100, -60 ], [ 100, -60 ], [ 100, 60 ], [ -100, 60 ] ] ], crs: { type: "name", properties: { name: "urn:x-mongodb:crs:strictwinding:EPSG:4326" } } } } } }) 2, geoIntersects, 图形查询, 交集
db.places.find( { loc: { $geoIntersects: { $geometry: { type: "Polygon" , coordinates: [ [ [ 0, 0 ], [ 3, 6 ], [ 6, 1 ], [ 0, 0 ] ] ] } } } }) 查询大于半个半球的
db.places.find( { loc: { $geoIntersects: { $geometry: { type : "Polygon", coordinates: [ [ [ -100, 60 ], [ -100, 0 ], [ -100, -60 ], [ 100, -60 ], [ 100, 60 ], [ -100, 60 ] ] ], crs: { type: "name", properties: { name: "urn:x-mongodb:crs:strictwinding:EPSG:4326" } } } } } }) 3, $near, 由近道原返回文档的点, 经纬度罗列方式为 [ lng, lat ]
需要创建空间索引
2dsphere index if specifying a GeoJSON point,2d index if specifying a point using legacy coordinates.
db.places.ensureIndex( { loc : "2d" } ) //应该是固定格式
db.places.find( { location: { $near : { $geometry: { type: "Point", coordinates: [ -73.9667, 40.78 ] }, $minDistance: 1000, $maxDistance: 5000 } } }) 使用传统坐标查询:
db.legacy2d.find( { location : { $near : [ -73.9667, 40.78 ], $maxDistance: 0.10 } }) 4, $nearSphere, 空间距离查询
同样需要建立空间索引
2dsphere index for location data defined as GeoJSON points2d index for location data defined as legacy coordinate pairs. To use a 2d index on GeoJSON points, create the index on the coordinates field of the GeoJSON object.
db.places.find( { location: { $nearSphere: { $geometry: { type : "Point", coordinates : [ -73.9667, 40.78 ] }, $minDistance: 1000, $maxDistance: 5000 } } })
最大距离内查询:
db.places.find( { loc: { $near: [ -74 , 40 ], $maxDistance: 10 }} ) 5, $center查询, 圆形查询
db.places.find( { loc: { $geoWithin: { $center: [ [-74, 40.74], 10 ] } } }) 6, $centerSphere 查询, 球星查询
db.places.find( { loc: { $geoWithin: { $centerSphere: [ [ -88, 30 ], 10/3963.2 ] } }} ) 7, $box查询, 先精度后纬度, first lower then upper
db.places.find( { loc: { $geoWithin: { $box: [ [ 0, 0 ], [ 100, 100 ] ] } }} ) 8, $polygon, 多边形查询
db.places.find( { loc: { $geoWithin: { $polygon: [ [ 0 , 0 ], [ 3 , 6 ], [ 6 , 0 ] ] } } })
mongodb的空间位置查询
我是勤劳的搬运工: -> https://docs.mongodb.com/manual/reference/operator/query-geospatial/