I\'m just trying to get a simple near
query working. Here\'s a sample of my document.
{\"point\":
{\"type\": \"Point\",
\"coordinates\"
In addition to the answers above, if you've already tried to create an Index and got some syntax or field wrong, you can run
db.<yourcollection>.dropIndexes();
To clean up all indexes and re-create them properly.
Also, the index should be created on the parent of "coordinates", not on coordinates itself:
{
"_id": 59ac03d168eaaa14c2a57a00",
"location":{
"type":"Point",
"coordinates":[
131.6667,
57.8368
]
},
"age":53,
"username":"Brandi_Greenfelder"
}
db.<yourcollection>.createIndex({ location: '2dsphere' });
Attention, there is "2d" and "2dsphere", use the second as it's the new thing.
So there seems to be a couple of things wrong here:
db.foo.createIndex({geo: "2d"})
Does not "fail" because there presently isn't a field called "geo" and the field with the data should have been in that place. If you had used "point" instead, which is the correct field, then you would have received an error telling you that this type of index is invalid for the GeoJSON data. You need a "2dsphere" index:
db.points.createIndex({ "point": "2dsphere" })
db.points.find({point: { $near: { $geometry:{ type: "Point", coordinates: [-84.26060492426588, 30.45023887165371] } } }})
See the documentation for $near
Few problems, you created your indexes on the foo collection of the foo database, but are querying the bar collection. You need to be on the correct collection.
Reading the document you have inserted you need to add a "2dsphere" index to support the geoJson objects. This index needs to be on the "point" element of your documents, so try
db.bar.createIndex({point:"2dsphere"});
You can then query as follows by providing a geoJson obj for the query:
db.bar.find(
{ point :
{ $near :
{
$geometry : {
type : "Point" ,
coordinates : [-84.27326978424058, 30.443902444762696] },
$maxDistance : 1
}
}
}
)
db.prod.createIndex({ "location": "2d" })
This solved for the same issue for me.
Where prod is my collection name and location is name of column which stores geo location (GeoPoint)
Some discussion about the same can be found here