It is possible to retrieve an array of objects as if it were a separate table. Take the following JSON structure from the restaurants collection for example:

{
  "restaurantid" : "30075445",
  "address" : {
    "building" : "1007",
    "coord" : [-73.856077, 40.848447],
    "street" : "Morris Park Ave",
    "zipcode" : "10462"
  },
  "borough" : "Bronx",
  "cuisine" : "Bakery",
  "grades" : [{
      "date" : 1393804800000,
      "grade" : "A",
      "score" : 2
    }, {
      "date" : 1378857600000,
      "grade" : "A",
      "score" : 6
    }, {
      "date" : 1358985600000,
      "grade" : "A",
      "score" : 10
    }, {
      "date" : 1322006400000,
      "grade" : "A",
      "score" : 9
    }, {
      "date" : 1299715200000,
      "grade" : "B",
      "score" : 14
    }],
  "name" : "Morris Park Bake Shop",
}

Vertical flattening will allow you to retrieve the grades array as a separate table:

SELECT * FROM [restaurants.grades]

This query returns the following data set:

date	grade	score	restaurantid	_index
1393804800000	A	2	30075445	1
1378857600000	A	6	30075445	2
1358985600000	A	10	30075445	3

You may also want to include information from the base restaurants table. You can do this with a join.

SELECT restaurants.name, [restaurants.grades].* FROM [restaurants] JOIN [restaurants.grades] ON restaurants.restaurantid = [restaurants.grades].restaurantid WHERE restaurants.restaurantid = 30075445 AND [restaurants.grades].restaurantid = 30075445

This query returns the following data set:

name	restaurantid	date	grade	score	_index
Morris Park Bake Shop	30075445	1393804800000	A	2	1
Morris Park Bake Shop	30075445	1378857600000	A	6	2
Morris Park Bake Shop	30075445	1358985600000	A	10	3
Morris Park Bake Shop	30075445	1322006400000	A	9	4
Morris Park Bake Shop	30075445	1299715200000	B	14	5