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$nearSphere

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  • Definition
  • Behavior
  • Examples
$nearSphere

Specifies a point for which a geospatial query returns the documents from nearest to farthest. MongoDB calculates distances for $nearSphere using spherical geometry.

$nearSphere requires a geospatial index:

  • 2dsphere index for location data defined as GeoJSON points.

  • 2d index for location data defined as legacy coordinate pairs. To use a 2d index on GeoJSON points, create the index on the coordinates field of the GeoJSON object.

The $nearSphere operator can specify either a GeoJSON point or legacy coordinate point.

To specify a GeoJSON Point, use the following syntax:

{
$nearSphere: {
$geometry: {
type : "Point",
coordinates : [ <longitude>, <latitude> ]
},
$minDistance: <distance in meters>,
$maxDistance: <distance in meters>
}
}
  • The optional $minDistance limits the results to those documents that are at least the specified distance from the center point.

  • The optional $maxDistance is available for either index.

To specify a point using legacy coordinates, use the following syntax:

{
$nearSphere: [ <x>, <y> ],
$minDistance: <distance in radians>,
$maxDistance: <distance in radians>
}
  • The optional $minDistance is available only if the query uses the 2dsphere index. $minDistance limits the results to those documents that are at least the specified distance from the center point.

  • The optional $maxDistance is available for either index.

If you use longitude and latitude for legacy coordinates, specify the longitude first, then latitude.

Tip

See also:

You cannot combine the $nearSphere operator, which requires a special geospatial index, with a query operator or command that requires another special index. For example you cannot combine $nearSphere with the $text query.

Prior to MongoDB 4.0, $nearSphere queries are not supported for sharded collections. Instead, you can use the $geoNear aggregation stage or the geoNear command.

The $nearSphere operator sorts documents by distance.

  • If you use the sort() method in your query, MongoDB performs a second sort operation, re-ordering the matching documents. When querying large collections, this can negatively affect query performance.

  • If the order of the documents is not important to you, consider using the $geoWithin operator instead, as it returns unsorted results.

  • $nearSphere is a Match Execution operator and is not permitted in aggregation pipelines.

Consider a collection places that contains documents with a location field and has a 2dsphere index.

Then, the following example returns whose location is at least 1000 meters from and at most 5000 meters from the specified point, ordered from nearest to farthest:

db.places.find(
{
location: {
$nearSphere: {
$geometry: {
type : "Point",
coordinates : [ -73.9667, 40.78 ]
},
$minDistance: 1000,
$maxDistance: 5000
}
}
}
)

Consider a collection legacyPlaces that contains documents with legacy coordinates pairs in the location field and has a 2d index.

Then, the following example returns those documents whose location is at most 0.10 radians from the specified point, ordered from nearest to farthest:

db.legacyPlaces.find(
{ location : { $nearSphere : [ -73.9667, 40.78 ], $maxDistance: 0.10 } }
)

If the collection has a 2dsphere index instead, you can also specify the optional $minDistance specification. For example, the following example returns the documents whose location is at least 0.0004 radians from the specified point, ordered from nearest to farthest:

db.legacyPlaces.find(
{ location : { $nearSphere : [ -73.9667, 40.78 ], $minDistance: 0.0004 } }
)

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