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Geospatial Search

MongoDB offers a number of indexes and query mechanisms to handle geospatial information. This section demonstrates how to create and use geospatial indexes with the Ruby driver.

The examples on this page use a sample collection called restaurants in the test database. A sample dataset is available for download.

The following is a sample document in the restaurants collection:

{
"address": {
"building": "1007",
"coord": [ -73.856077, 40.848447 ],
"street": "Morris Park Ave",
"zipcode": "10462"
},
"borough": "Bronx",
"cuisine": "Bakery",
"grades": [
{ "date": { "$date": 1393804800000 }, "grade": "A", "score": 2 },
{ "date": { "$date": 1299715200000 }, "grade": "B", "score": 14 }
],
"name": "Morris Park Bake Shop",
"restaurant_id": "30075445"
}

The following example creates a 2dsphere index on the address.coord field:

client = Mongo::Client.new([ '127.0.0.1:27017' ], :database => 'test' )
client[:restaurants].indexes.create_one( { 'address.coord' => '2dsphere' })

Once the index is created, you can use several operators to query against it, including the $near, $geoWithin, and $geoIntersects operators. The following example uses the $near operator to find all restaurants within 500 meters of the given coordinates.

client = Mongo::Client.new('mongodb://127.0.0.1:27017/test')
collection = client[:restaurants]
collection.find(
{ 'address.coord' =>
{ "$near" =>
{ "$geometry" =>
{ "type" => "Point", "coordinates" => [ -73.96, 40.78 ] },
"$maxDistance" => 500
}
}
}
).each do |doc|
#=> Yields a BSON::Document.
end

To find all documents with a location within the perimeter of a given polygon, use the $geoWithin operator:

client = Mongo::Client.new('mongodb://127.0.0.1:27017/test')
collection = client[:restaurants]
collection.find(
{ "address.coord" =>
{ "$geoWithin" =>
{ "$geometry" =>
{ "type" => "Polygon" ,
"coordinates" => [ [ [ -73, 40 ], [ -74, 41 ], [ -72, 39 ], [ -73, 40 ] ] ]
}
}
}
}
).each do |doc|
#=> Yields a BSON::Document.
end

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