Reputation: 5880
Question: Write a MongoDB query to find the restaurants which locates in latitude value less than -95.754168.
Structure of '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": 1378857600000 }, "grade": "A", "score": 6 },
{ "date": { "$date": 1358985600000 }, "grade": "A", "score": 10 },
{ "date": { "$date": 1322006400000 }, "grade": "A", "score": 9 },
{ "date": { "$date": 1299715200000 }, "grade": "B", "score": 14 }
],
"name": "Morris Park Bake Shop",
"restaurant_id": "30075445"
}
Author's Answer is : db.restaurants.find({"address.coord" : {$lt : -95.754168}});
Is this the correct answer? If no then what is the correct answer?
Resource: http://www.w3resource.com/mongodb-exercises/#PracticeOnline
Upvotes: 1
Views: 157
Reputation: 1587
You can go into your coord
index like this
db.restaurants.find({"address.coord.0" : {$lt: -95.754168}});
According to the documentation here,
MongoDB uses the dot notation to access the elements of an array and to access the fields of an embedded document.
E.g.
<array>.<index>
Note that the index is 0-based.
Upvotes: 1