MongoDB Exercise - Find restaurants in Manhattan or Brooklyn not in American or Chinese cuisine with grades of 2 and 6

Write a MongoDB query to find the restaurants that have a grade with a score of 2 and a grade with a score of 6 and are located in the borough of Manhattan or Brooklyn, and their cuisine is not American or Chinese.

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({
  $and: [
{ borough: { $in: ["Manhattan", "Brooklyn"] } }, 
{ cuisine: { $nin: ["American", "Chinese"] } }, 
{ grades: { $elemMatch: { score: 2 } } },
{ grades: { $elemMatch: { score: 6 } } }
  ]
})

Output:

{ "_id" : ObjectId("6422c7461238e3bec47ca63f"), "address" : { "building" : "261", "coord" : [ -73.94839189999999, 40.7224876 ], "street" : "Driggs Avenue", "zipcode" : "11222" }, "borough" : "Brooklyn", "cuisine" : "Polish", "grades" : [ { "date" : { "$date" : 1401494400000 }, "grade" : "A", "score" : 2 }, { "date" : { "$date" : 1368144000000 }, "grade" : "A", "score" : 3 }, { "date" : { "$date" : 1329436800000 }, "grade" : "A", "score" : 6 }, { "date" : { "$date" : 1318550400000 }, "grade" : "C", "score" : 54 } ], "name" : "Polish National Home", "restaurant_id" : "40364404" }
{ "_id" : ObjectId("6422c7dd1238e3bec47ca655"), "address" : { "building" : "567", "coord" : [ -74.00619499999999, 40.735663 ], "street" : "Hudson Street", "zipcode" : "10014" }, "borough" : "Manhattan", "cuisine" : "American ", "grades" : [ { "date" : { "$date" : 1406505600000 }, "grade" : "A", "score" : 2 }, { "date" : { "$date" : 1374710400000 }, "grade" : "A", "score" : 7 }, { "date" : { "$date" : 1360022400000 }, "grade" : "A", "score" : 2 }, { "date" : { "$date" : 1338249600000 }, "grade" : "A", "score" : 6 }, { "date" : { "$date" : 1324598400000 }, "grade" : "A", "score" : 5 } ], "name" : "White Horse Tavern", "restaurant_id" : "40364958" }
.....

Explanation:

The said query in MongoDB that searches for restaurants that have a grade with a score of 2 and a grade with a score of 6, and are located in the borough of Manhattan or Brooklyn, and their cuisine is not American or Chinese.

The $and operator is used to combine all the conditions inside the array must be met.

The $in operator checks if the value of the borough field is either "Manhattan" or "Brooklyn".

The $nin operator checks if the value of the cuisine field is not "American" or "Chinese".

The $elemMatch operator checks if there is at least one element in the grades array where the score is equal to 2 and also the other element in the grades array where the score is equal to 6.

Note: This output is generated using MongoDB server version 3.6

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