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
Improve this sample solution and post your code through Disqus.
Previous: Find the lowest score for each borough.
Next: Names and addresses of restaurants with a grade of 'B' or 'C'.
What is the difficulty level of this exercise?
It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.
https://www.w3resource.com/mongodb-exercises/mongodb-exercise-67.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics