MongoDB $near query accuracy issue - mongodb

In my application I would like to query items that are close by (e.g. within 5km) to a coordinate and I tried to use $near to achieve that. With a quick look I thought it worked but after I tested it further it seems the query is somewhat inaccurate. Here is my setup:
I selected 2 coordinates that are a bit less than 5km apart from each other:
61.4644750214197, 23.8426943813556
61.497133399999996, 23.778528100000003
(At least according to tools like this, this or this the distance between those coordinates should be about ~4,99km)
I added one of the coordinates into empty "items" collection:
db.items.insert({
"geo" : {
"type" : "Point",
"coordinates" : [
61.4644750214197,
23.8426943813556
]
}
});
I added "2dsphere" index to the collection make geospatial queries possible:
db.items.createIndex( { geo : "2dsphere" } )
Finally, I used the other coordinate with $near query:
db.items.find({geo: {
$near: {
$geometry: {
type: "Point" ,
coordinates: [ 61.497133399999996, 23.778528100000003 ]
},
$maxDistance: 5000 // according to docs with '2dsphere' index and GeoJSON this is is meters
}
}}).count()
I expected the result to be 1 but instead it is 0. Even if I set $maxDistance to 7000 the result is still 0, but if I set it to 8000 the result will be 1.
Am I doing something wrong or are MongoDB geospatial queries (or just $near query?) that inaccurate? If so, is there a better way to get accurate results for this kind of query? This is my first time dealing with geospatial queries in MongoDB so there is probably a trivial explanation for my problem.
EDIT:
Basically I was dreaming of a functionality to show all items in map within X kilometres from users current location and X could be determined by user. It would be awkward if an item within 5km would not be visible even when the user wants to filter items within 7km.
I have tried most of the options for doing this query, like $centerSphere, $nearSphere and geoNear with similar results. They all seem to claim that the distance between my earlier mentioned coordinates is somewhere between 7-8km. I'm starting to think either 1. I'm missing some key peace of information about how distances work in general or 2. it simply is not possible to solve my problem with mongodb. Below are my queries for the other options:
$centerSphere (0 results with 5, 6 and 7km but 1 result with 8km):
db.items.find( { geo: {
$geoWithin: { $centerSphere: [ [ 61.497133399999996, 23.778528100000003 ], 5/6378.1 ]
}
}}).count()
geoNear (0 results with maxDistance 5000, 6000 and 7000 but 1 result with 8000):
db.runCommand(
{
geoNear: "items",
near: { type: "Point", coordinates: [ 61.497133399999996, 23.778528100000003 ] },
spherical: true,
maxDistance: 5000
}
)

I understand I am late to the party, but for all those who are facing similar issue
The problem here is that when you store that data into "coordinates", it must be in the [longitude, latitude] order because this is how mongodb works. https://docs.mongodb.com/manual/geospatial-queries/#spherical I just ran your example with reversed order of coordinates and it worked as expected.
db.items.insert({
"geo" : {
"type" : "Point",
"coordinates" : [
23.8426943813556,
61.4644750214197
]
}
});
And then i ran
db.items.find({geo: {
$near: {
$geometry: {
type: "Point" ,
coordinates: [ 23.778528100000003 , 61.497133399999996]
},
$maxDistance: 5000
}
}}).count()
The count here is 1:
Hope it helps

Related

Search MongoDB by closest region based on coordinates

I'm using MongoDB to store about 1 million documents representing regions.
Each document contains a coordinates record in the following format
"coordinates" : {
"longitude" : -77.02687,
"latitude" : 38.888565
}
Given a set of coordinates { x, y }, what query should I run to find the region ( document ) that is closest to it?
Based on the MongoDB geospatial-queries documentation the answer is quite simple.
In order to query for locations near a region you should follow these steps
Step 1
Create an index on the location field
db.places.createIndex( { location: "2dsphere" } )
Step 2
Find regions close to { -73.9667, 40.78 } ordered by closest locations
db.places.aggregate( [
{
$geoNear: {
near: { type: "Point", coordinates: [ -73.9667, 40.78 ] },
spherical: true,
query: { category: "Parks" },
distanceField: "calcDistance"
}
}
] )

MongoDB $near and $geoNear gives location with huge difference from real one

i noticed that mongoDB $near and $geoNear returns around 1km bigger distance than should be.
Point1 (current location):
lat: 54.8985,
long: 23.9036,
Point2 (location in DB):
"location" : {
"type" : "Point",
"coordinates" : [
54.91689,
23.97423
]
}
based on multiple libraries distance should be around 4.7KM
however mongodb returns: "calcDistance" : 8082 = 8km
DIFFERENCE is 4 KM!
You can check it here:
I have tried both spherical and non-spehrical and tried both $geowNear and $near
my code:
db.getCollection('collection').aggregate([
{
$geoNear: {
near: { type: 'Point', coordinates: [ 54.8985, 23.9036 ] },
distanceField: 'calcDistance',
maxDistance: 5 * 1000,
}
}
])
Any ideas why?
Look slike $near and $geoNear need lat and long swapped. That was a problem.
Refer to this: geoNear returns incorrect distance

MongoDB $geoNear operation "near" field usage

I have a collection "machine" with document
{
"_id" : "ac9d1db9-6a0d-47c6-97d3-a613c8dd0031",
"pin" : {
"machine":"test1",
"position" : [
-1.5716,
54.7732
]
}
}
Note: -1.5716 is lng and 54.7732 is lat
I have created a 2dsphere index on the document
db.machine.createIndex( { 'pin.position' : "2dsphere" } )
I try with 2 different versions of query (only difference in query is the near field in geoNear pipeline stage)
Query 1:
db.machine.aggregate(
[
{
"$geoNear":{
"near": [-0.2129092,51.5031594],
"limit":100,
"maxDistance":500*1000,
"distanceField": "dist.calculated",
"includeLocs": "dist.location",
"distanceMultiplier":1/1000,
"spherical": true
}
}
]
)
Note: -0.2129092 is lng and 51.5031594 is lat
Query 2
db.machine.aggregate(
[
{
"$geoNear":{
"near": { type: "Point", coordinates: [-0.2129092,51.5031594] },
"limit":100,
"maxDistance":500*1000,
"distanceField": "dist.calculated",
"includeLocs": "dist.location",
"distanceMultiplier":1/1000,
"spherical": true
}
}
]
)
Note: -0.2129092 is lng and 51.5031594 is lat
Query 1 returns me the document and provides that this document is 5.88161133560063e-05 Kms away from the search co-ordinates
Query 2 returns me the document and provides that this document is 375.135052595944 Kms away from the search co-ordinates
I cross-verify the distance between these lng/lat on a site http://andrew.hedges.name/experiments/haversine/ and see that the distance between the document and the search co-ordinates is around 374.835 Kms
It seems Query 2 is providing the correct result but am not sure as to what is the difference between Query 1 and Query 2 and if I am using it incorrectly.
Please advise
Query 1 provides the distance in legacy co-ordinate pairs and Query 2 provices the distance in meters (GeoJSON) and hence both queries are using different units
Please check the following link https://jira.mongodb.org/browse/SERVER-16652?jql=text%20~%20%22geoNear%22

MongoDB: Select all polygons within the radius of a point

I have two collections in my database: Post and Gallery. A Post has a single GeoJSON Point location, and a gallery is a collection of posts. The gallery's location is a GeoJSON Polygon bounding the gallery's posts (using quickhull algorithm). I now need to query for all galleries within x miles of a certain point, however I'm not getting any results even if I query from right next to my polygon.
I would like the behavior to be exactly the same as the following:
db.posts.find({
'location': {
$geoWithin: {
$centerSphere: [[-70, 30], 1000/3959]
}
}
});
Here, all posts within a the radius are returned. However, when I run the same type of function in this way, I am returned nothing, which is not correct:
db.galleries.find({
'location': {
$geoWithin: {
$centerSphere: [[-70, 30], 1000/3959]
}
}
});
One of my galleries has the following location (is 2dsphere index with 2dsphereIndexVersion = 2):
"location": {
"type": "Polygon",
"coordinates": [
[
[
-73.986882,
40.682829
],
[
-73.971089,
40.6672045
],
[
-73.955296,
40.65158
],
[
-73.986882,
40.682829
]
]
]
}
How do I query for location polygons that at least intersect with my radius?
I had the same problem and tried the exact same query that you initially tried. I'm not sure why it didn't work, but I was eventually able to get $near to do the job. Keep in mind that $near uses meters when calculating $maxDistance, so I had to convert my 10 mile desired distance to meters by multiplying by 1609.34. Here's the query that I ended up using:
db.maTowns.find(
{
'geometry': {
$near: {
$geometry: {
'type': "Point",
'coordinates': [ -71, 42 ]
},
$maxDistance: 10 * 1609.34
}
}
}
)
Select all polygons within the radius of a point
With the recent release of MongoDB version 3.6.0-rc0, you can now query GeoJSON LineStrings and Polygons with $geoWithin geospatial operator $centerSphere.
See also SERVER-27968 for more information about the change. Note that this change is pending to be backported.
Also maybe related for $geoIntersects and $centerSphere is ticket SERVER-30390

How to get unique mongodb?

If I have documents like this:
{firstname:"Jordan", lastname:"Snyder", age:6, homelocation:[<longitude, latitude>]}
In the mongo shell, how do I all the "distinct" firstname's across matching documents of people who live near a specific point (say 1 mile)? I see mongo has a distinct db.collection.distinct(field, query), but all the samples I see for finding anything "near" or "geowithin" (using homelocation field in my case) is using db.collection.find. I don't want all documents, I just want the distinct list of firstnames.
The query parameter of distinct uses the same format as the query selector parameter of find. So assuming a 2dsphere index on homelocation you can do something like:
db.test.distinct('firstname', {
homelocation: {
$near: {
$geometry: { type: "Point", coordinates: [ -73.9667, 40.78 ] },
$maxDistance: 1600 // In meters
}
}
})