MongoDB Exercise - A list of restaurants with an 'A' on a specific date
Write a MongoDB query to find the name and address of the restaurants that received a grade of 'A' on a specific date.
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": { "$date": 1299715200000 }, "grade": "B", "score": 14 } ], "name": "Morris Park Bake Shop", "restaurant_id": "30075445" }
Query:
db.restaurants.find(
{
"grades": {
"$elemMatch": {
"date": {
"$eq": ISODate("2013-07-22T00:00:00Z")
},
"grade": {
"$eq": "A"
}
}
}
},
{
"name": 1,
"address": 1,
"_id": 0
}
)
Output:
{ address: { building: '351', coord: [ -73.98513559999999, 40.7676919 ], street: 'West 57 Street', zipcode: '10019' }, name: 'Dj Reynolds Pub And Restaurant' }, { address: { building: '358', coord: [ -73.963506, 40.758273 ], street: 'East 57 Street', zipcode: '10022' }, name: "Neary'S Pub" }, { address: { building: '22210', coord: [ -73.759249, 40.761574 ], street: 'Northern Boulevard', zipcode: '11361' }, name: 'Burger King' }, .....
Explanation:
The said query in MongoDB retrieves the name and address fields of all documents from the 'restaurants' collection that have at least one "grades" sub-document containing a specific date and grade.
The "date": { "$eq": ISODate("2013-07-22T00:00:00Z") } condition checks within the $elemMatch operator if any of the grades have a date equal to 2013-07-22 and the "grade": { "$eq": "A" } condition checks if any of the grades have a grade equal to 'A'.
The date have used in the ISODate format which is similar to date in the restaurants collection.
Note: This output is generated using MongoDB server version 3.6
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https://w3resource.com/mongodb-exercises/mongodb-exercise-67.php
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