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How is geospatial data stored in MongoDB?
In MongoDB, you can store geospatial data as GeoJSON objects or as legacy coordinate pairs. To calculate geometry over an Earth-like sphere, store your location data as GeoJSON objects.
How does the geointersects operator work in MongoDB?
Selects documents whose geospatial data intersects with a specified GeoJSON object; i.e. where the intersection of the data and the specified object is non-empty. The $geoIntersects operator uses the $geometry operator to specify the GeoJSON object.
When to use the explain field in MongoDB?
For example, starting in MongodB 4.2, the following aggregation operation can be fulfilled by the tree of query plan execution rather than using the aggregation pipeline. The field is only present if the value is true and only applies to explain on aggregation pipeline operations.
How to do spherical surface calculations in MongoDB?
MongoDB supports spherical surface calculations on legacy coordinate pairs via a 2dsphere index by converting the data to the GeoJSON Point type. To specify data as legacy coordinate pairs, you can use either an array ( preferred) or an embedded document.
How to specify the location of an object in MongoDB?
To specify GeoJSON data, use an embedded document with: a field named coordinates that specifies the object’s coordinates. If specifying latitude and longitude coordinates, list the longitude first and then latitude: Valid longitude values are between -180 and 180, both inclusive.
How does MongoDB calculate distances on a Euclidean plane?
To calculate distances on a Euclidean plane, store your location data as legacy coordinate pairs and use a 2d index. MongoDB supports spherical surface calculations on legacy coordinate pairs via a 2dsphere index by converting the data to the GeoJSON Point type.
What is a valid latitude value in MongoDB?
Valid latitude values are between -90 and 90, both inclusive. To specify legacy coordinate pairs, arrays are preferred over an embedded document as some languages do not guarantee associative map ordering. MongoDB provides the following geospatial index types to support the geospatial queries.