Reputation: 542
My schema design:
var LocationSchema = new Schema({
area: String,
loc: [
type: [Number], // [<longitude>, <latitude>]
index: '2d' // create the geospatial index
]
});
module.exports = mongoose.model('Location', LocationSchema);
Data has stored like this mongodb
{
"_id": {
"$oid": "58c2796d734d1d46588666c6"
},
"area": "madiwla",
"loc": [
12.9226,
77.6174
]
}
{
"_id": {
"$oid": "58c27989734d1d4658866705"
},
"area": "majestic",
"loc": [
12.9767,
77.5713
]
}
{
"_id": {
"$oid": "58ca1e21734d1d2ca8566f3c"
},
"area": "shanthi nagar",
"loc": [
12.8486,
77.6837
]
}
after that i have done
db.locations.ensureIndex({loc:"2d"})
now i want to filter data within 2km or 5m i tired this query but every evry times query returns all the documents
i have run 1km max distance query
db.locations.find({ loc : { $near : [12.9592,77.6974] , $maxDistance : 100/111.12 } } )
i given marathahalli latitude and longitude
marathahalli to madiwala distance :- 13.4 km
marathahalli to majestic distance :- 20.4 km
marathahalli to shanthi nagar distance :- 23.4 km
but why my query returns all the documnents .IS there any mistake in my code please help me out?
i tried this also but got error
db.locations.find({ loc : {
$near: {
$geometry: {
loc: [12.9592,77.6974]
},
$maxDistance:0,
$minDistance:250
}
} } )
Error: error: {
"waitedMS" : NumberLong(0),
"ok" : 0,
"errmsg" : "invalid point in geo near query $geometry argument: { loc: [
12.9592, 77.6974 ] } Point must be an array or object",
"code" : 2
}
i have tried in mongoshell but i am not getting anything
db.locations.createIndex({loc:"2dsphere"})
{
"createdCollectionAutomatically" : false,
"numIndexesBefore" : 3,
"numIndexesAfter" : 3,
"note" : "all indexes already exist",
"ok" : 1
}
rs-ds161028:PRIMARY> db.locations.aggregate([ {$geoNear: { near :{type
"Point", coordinates:[77.6974,12.9591]}, distanceField: "distance", spherical:
true } } ])
{ "_id" : ObjectId("58c27989734d1d4658866705"), "area" : "majestic", "loc" : [
2.9767, 77.5713 ], "distance" : 8017976.609884486 }
{ "_id" : ObjectId("58c2796d734d1d46588666c6"), "area" : "madiwla", "loc" : [ 1
.9226, 77.6174 ], "distance" : 8021105.860532911 }
{ "_id" : ObjectId("58ca1e21734d1d2ca8566f3c"), "area" : "shanthi nagar", "loc"
: [ 12.8486, 77.6837 ], "distance" : 8025509.538529409 }
rs-ds161028:PRIMARY> db.locations.find({ loc:{ $near:{ $geometry: {ty
e: "Point" , coordinates:[77.6974,12.9591] }, $maxDistance:10000 }}})
rs-ds161028:PRIMARY>
Upvotes: 0
Views: 4240
Reputation: 529
Before starting i would add two points-
Coming to your query, I added three points as your question and my data looks like below-
> db.test.find()
{ "_id" : "madiwala", "type" : "Point", "loc" : [ 77.6174, 12.9226 ] }
{ "_id" : "Majestic", "type" : "Point", "loc" : [ 77.5712, 12.9766 ] }
{ "_id" : "ShanthiNgr", "type" : "Point", "loc" : [ 77.6836, 12.8486 ] }
I have given type: "Point" because this is a reserved key for using spherical type locations in mongo. Moreover I have added [long, lat] for location. Later I added a 2dSphere index on loc field.
db.test.createIndex({loc:"2dsphere"})
Then I executed below query to know the distance from Marathahalli [77.6974,12 .9591]-
> db.test.aggregate([ {$geoNear: { near :{type: "Point", coordinates:[77.6974,12
.9591]}, distanceField: "distance", spherical: true } } ])
{ "_id" : "madiwala", "type" : "Point", "loc" : [ 77.6174, 12.9226 ], "distance": 9583.305405402776 }
{ "_id" : "ShanthiNgr", "type" : "Point", "loc" : [ 77.6836, 12.8486 ], "distance" : 12391.53898270671 }
{ "_id" : "Majestic", "type" : "Point", "loc" : [ 77.5712, 12.9766 ], "distance": 13828.057829128267 }
Above query is just for testing purpose to know the distance. It tells distance in meters so i can easily convert it into kms.
Now I did run below query to find locations from Marathahalli within 10 kms. distance and i got my desired result-
> db.test.find({ loc:{ $near:{ $geometry: {type: "Point" , coordinates:[77.6974,12.9591] }, $maxDistance:10000 }}})
{ "_id" : "madiwala", "type" : "Point", "loc" : [ 77.6174, 12.9226 ] }
I found few issues with approach you were trying-
Hope it helps you...have a good day...:)
Upvotes: 2