Mongodb $near returning error - mongodb

Question

I have a basic document, like so:
{
"_id" : ObjectId("5760fe623f6d3ad25e387ffc"),
"type": 5,
"product" : {
"location" : {
"geometry" : [ 153.39999999999998, -28.016667 ],
"name" : "Gold Coast QLD, Australia",
"id" : "ChIJt2BdK0cakWsRcK_e81qjAgM"
}
}
}
I am trying to query the location using the $near method provided by Mongodb.
This is my query:
db.posts.find({
'product.location.geometry': {
$near: [ 153.39999999999998, -28.016667 ]
}
})
Within the Mongodb documentation, it states that:
To specify a point using legacy coordinates, $near requires a 2d index
and has the following syntax:
{
$near: [ <x>, <y> ],
$maxDistance: <distance in radians>
}
It even gives this example on their site:
db.legacy2d.find({
location : { $near : [ -73.9667, 40.78 ], $maxDistance: 0.10 }
})
This is the error it is producing:
Error: error: {
"waitedMS" : NumberLong(0),
"ok" : 0,
"errmsg" : "error processing query: ns=mytestnodedb.postsTree: GEONEAR field=product.location.geometry maxdist=1.79769e+308 isNearSphere=0\nSort: {}\nProj: {}\n planner returned error: unable to find index for $geoNear query",
"code" : 2
}
I am unable to identify anything that is wrong with my query. Mongo states that the $near must be longitude followed by latitude, which I am definitely doing. I am purposefully leaving out $maxDistance since Mongo states that it will return results sorted from nearest to farthest.

Answer 1

Well error is pretty much self explainatory. Query requires 2d index which it can't find.
I'd create index as:
db.collection.createIndex({"product.location.geometry":"2d"})
Now if I run your query on sample data, I get
{
"_id" : ObjectId("5760fe623f6d3ad25e387ffc"),
"type" : 5.0,
"product" : {
"location" : {
"geometry" : [
153.39999999999998,
-28.016667
],
"name" : "Gold Coast QLD, Australia",
"id" : "ChIJt2BdK0cakWsRcK_e81qjAgM"
}
}
}