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| endTo 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| endRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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