Need, query the nearby position of a coordinate point
Data Format
Can be in the form of an array or geojson
<field>: [ <x>, <y> ]
<field>: [<longitude>, <latitude> ]
GeoJSON
location: {
type: "Point",
coordinates: [-73.856077, 40.848447]
}
List the longitude first, then the latitude
For example, the loc field
{
"city": "北京市",
"geo_id": 565932,
"geo_name": "万柳园(长春堂药店)",
"lat": 39.850201868495773283,
"lng": 116.33426020654366084,
"loc": "[116.33426020654366084,39.850201868495773283]",
"status": 0
}
index
Create 2dsphere index
2dsphere index supports querying spherical geometric entity objects
db.collection.createIndex( { <location field> : "2dsphere" } )
pymongo query example
lng = geo['lng']
lat = geo['lat']
result = geos_collection.aggregate([
{"$geoNear": {
"near": {
"type": "Point",
"coordinates": [lng, lat] },
"distanceField": "distance",
"maxDistance": 2000,
"query": {"status": -1},
"spherical": True }
},
{"$limit": 10}
])
mongodb shell
db.o2o_geos.aggregate([
{
$geoNear: {
near: { type: "Point", coordinates: [120.13606048541625171, 30.29447292933346958 ] },
distanceField: "distance",
maxDistance: 2000,
query: { status: -1 },
spherical: true
}
}
])
- coordinates Query coordinate point
- maxDistance maximum distance
- query filter condition
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