MongoDB Exercise - Find the restaurant Id, name, address and geographical location of the restaurants where 2nd element contains a value between 42 and 52

Write a MongoDB query to find the restaurant Id, name, address and geographical location for those restaurants where 2nd element of coord array contains a value which is more than 42 and upto 52.

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( 
                      { 
                        "address.coord.1": {$gt : 42, $lte : 52}
                      },
                        {"restaurant_id" : 1,"name":1,"address":1,"coord":1}
                   );

Output:

{ "_id" : ObjectId("564c2d939eb21ad392f1786b"), "address" : { "building" : "47", "coord" : [ -78.877224, 42.89546199999999 ], "street" : "Broadway @ Trinity Pl", "zipcode" : "10006" }, "name" : "T.G.I. Friday'S", "restaurant_id" : "40387990" }
{ "_id" : ObjectId("564c2d939eb21ad392f178c7"), "address" : { "building" : "1", "coord" : [ -0.7119979, 51.6514664 ], "street" : "Pennplaza E, Penn Sta", "zipcode" : "10001" }, "name" : "T.G.I. Fridays", "restaurant_id" : "40388936" }
{ "_id" : ObjectId("564c2d949eb21ad392f17af2"), "address" : { "building" : "3000", "coord" : [ -87.86567699999999, 42.61150920000001 ], "street" : "47 Avenue", "zipcode" : "11101" }, "name" : "Di Luvio'S Deli", "restaurant_id" : "40402284" }
{ "_id" : ObjectId("564c2d949eb21ad392f17d28"), "address" : { "building" : "21972199", "coord" : [ -78.589606, 42.8912372 ], "street" : "Broadway", "zipcode" : "10024" }, "name" : "La Caridad 78", "restaurant_id" : "40568285" }
{ "_id" : ObjectId("564c2d949eb21ad392f183f6"), "address" : { "building" : "7981", "coord" : [ -84.9751215, 45.4713351 ], "street" : "Hoyt Street", "zipcode" : "11201" }, "name" : "Bijan'S", "restaurant_id" : "40876618" }
{ "_id" : ObjectId("564c2d949eb21ad392f1840c"), "address" : { "building" : "0", "coord" : [ -88.0778799, 42.4154769 ], "street" : "& Grand Central", "zipcode" : "10017" }, "name" : "Hyatt, Ny Central/Room Service", "restaurant_id" : "40879243" }
{ "_id" : ObjectId("564c2d949eb21ad392f18420"), "address" : { "building" : "60", "coord" : [ -111.9975205, 42.0970258 ], "street" : "West Side Highway", "zipcode" : "10006" }, "name" : "Sports Center At Chelsea Piers (Sushi Bar)", "restaurant_id" : "40882356" }
{ "_id" : ObjectId("564c2d949eb21ad392f1899d"), "address" : { "building" : "1", "coord" : [ -72.4751457, 43.2956803 ], "street" : "Wall Street Court", "zipcode" : "10005" }, "name" : "Fino Ristorante", "restaurant_id" : "41057286" }
{ "_id" : ObjectId("564c2d949eb21ad392f18a28"), "address" : { "building" : "350", "coord" : [ -93.2069217, 43.14769159999999 ], "street" : "5 Avenue", "zipcode" : "10018" }, "name" : "Heartland Brewery", "restaurant_id" : "41073985" }
{ "_id" : ObjectId("564c2d949eb21ad392f18caa"), "address" : { "building" : "0", "coord" : [ -73.66037349999999, 42.4476886 ], "street" : "Concourse B", "zipcode" : "11371" }, "name" : "Dunkin' Donuts", "restaurant_id" : "41142675" }
{ "_id" : ObjectId("564c2d949eb21ad392f18cbb"), "address" : { "building" : "1342", "coord" : [ -73.8162457, 42.7025194 ], "street" : "Central Avenue", "zipcode" : "11691" }, "name" : "New Beijing Restaurant", "restaurant_id" : "41144626" }
{ "_id" : ObjectId("564c2d949eb21ad392f19043"), "address" : { "building" : "350", "coord" : [ -93.2069217, 43.14769159999999 ], "street" : "5 Avenue", "zipcode" : "10018" }, "name" : "Chipotle Mexican Grill", "restaurant_id" : "41223834" }
{ "_id" : ObjectId("564c2d949eb21ad392f1909b"), "address" : { "building" : "350", "coord" : [ -93.2069217, 43.14769159999999 ], "street" : "5 Avenue", "zipcode" : "10018" }, "name" : "Europa Cafe", "restaurant_id" : "41229799" }
{ "_id" : ObjectId("564c2d949eb21ad392f192d9"), "address" : { "building" : "350", "coord" : [ -93.2069217, 43.14769159999999 ], "street" : "5 Avenue", "zipcode" : "10018" }, "name" : "Ny Skyride", "restaurant_id" : "41266025" }
{ "_id" : ObjectId("564c2d949eb21ad392f194a6"), "address" : { "building" : "1", "coord" : [ -72.4751457, 43.2956803 ], "street" : "Wall Street Court", "zipcode" : "10005" }, "name" : "Haru", "restaurant_id" : "41298810" }
{ "_id" : ObjectId("564c2d949eb21ad392f195a7"), "address" : { "building" : "1618", "coord" : [ -77.6873462, 43.2236789 ], "street" : "Maiden Lane", "zipcode" : "10038" }, "name" : "Oka Sushi", "restaurant_id" : "41312239" }
{ "_id" : ObjectId("564c2d949eb21ad392f19768"), "address" : { "building" : "7072", "coord" : [ -85.70723199999999, 42.3625186 ], "street" : "North    6 Street", "zipcode" : "11211" }, "name" : "Black Bear Bar", "restaurant_id" : "41343482" }
{ "_id" : ObjectId("564c2d949eb21ad392f197b1"), "address" : { "building" : "350", "coord" : [ -93.2069217, 43.14769159999999 ], "street" : "5 Avenue", "zipcode" : "10018" }, "name" : "Starbucks Coffee", "restaurant_id" : "41348358" }
{ "_id" : ObjectId("564c2d949eb21ad392f198d5"), "address" : { "building" : "0", "coord" : [ 0.5595998999999999, 51.3940452 ], "street" : "Pier 78 West 38 Street", "zipcode" : "10018" }, "name" : "Pier Side Cafe", "restaurant_id" : "41367417" }
{ "_id" : ObjectId("564c2d949eb21ad392f1a4e5"), "address" : { "building" : "371113", "coord" : [ -85.147576, 44.1418976 ], "street" : "30 Avenue", "zipcode" : "11103" }, "name" : "Mexi Q Kitchen", "restaurant_id" : "41515837" }
Type "it" for more

Note: This output is generated using MongoDB server version 3.6

Explanation:

The said query in MongoDB that searches for a list of restaurants that have a latitude value between 42 and 52 degrees, along with their respective restaurant_id, name, address, and coord field values.
The "address.coord.1" is performed on the coord field nested within the address field and the {$gt : 42, $lte : 52} that searches the latitude value in the coord field should be greater than 42 and less than or equal to 52.

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