Field Paths

Nested Fields

The following examples use the planets collection from the Atlas Sample Databases. Each document in this collection has the following structure:

{
   _id: new ObjectId("6220f6b78a733c51b416c80e"),
   name: "Uranus",
   orderFromSun: 7,
   hasRings: true,
   mainAtmosphere: [ "H2", "He", "CH4" ],
   surfaceTemperatureC: { min: null, max: null, mean: -197.2 }
}

To specify the nested mean field within surfaceTemperatureC, use dot notation ("field.nestedField") with a dollar sign $. This aggregation pipeline projects only the mean nested field value for each document:

db.planets.aggregate( [
   {
      $project: {
         nested_field: "$surfaceTemperatureC.mean"
      }
   }
] )

An example returned document:

{ _id: ObjectId('6220f6b78a733c51b416c80e'), nested_field: -197.2 }

Array of Nested Fields

Use dot notation in a field path to access a field nested within an array. For example, consider a products collection whose instock field holds an array of nested warehouse fields:

db.products.insertMany( [
   { item: "journal", instock: [ { warehouse: "A"}, { warehouse: "C" } ] },
   { item: "notebook", instock: [ { warehouse: "C" } ] },
   { item: "paper", instock: [ { warehouse: "A" }, { warehouse: "B" } ] },
   { item: "planner", instock: [ { warehouse: "A" }, { warehouse: "B" } ] },
   { item: "postcard", instock: [ { warehouse: "B" }, { warehouse: "C" } ] }
] )

The following aggregation pipeline uses $instock.warehouse to access the nested warehouse fields.

db.products.aggregate( [
   {
      $project: {
         item: 1,
         warehouses: "$instock.warehouse"
      }
   }
] )

In this example, $instock.warehouse outputs an array of values that are in the nested warehouse field for each document. The pipeline returns the following documents:

[
   {
      _id: ObjectId('6740b55e33b29cf6b1d884f7'),
      item: "journal",
      warehouses: [ "A", "C" ]
   },
   {
      _id: ObjectId('6740b55e33b29cf6b1d884f8'),
      item: "notebook",
      warehouses: [ "C" ]
   },
   {
      _id: ObjectId('6740b55e33b29cf6b1d884f9'),
      item: "paper",
      warehouses: [ "A", "B" ]
   },
   {
      _id: ObjectId('6740b55e33b29cf6b1d884fa'),
      item: "planner",
      warehouses: [ "A", "B" ]
   },
   {
      _id: ObjectId('6740b55e33b29cf6b1d884fb'),
      item: "postcard",
      warehouses: [ "B", "C" ]
   }
]

Array of Nested Arrays

You can also use dot notation with a dollar sign $ in a field path to access an array within a nested array. The following example uses a fruits collection with this document:

db.fruits.insertOne(
   {
      _id: ObjectId("5ba53172ce6fa2fcfc58e0ac"),
      inventory: [
         {
            apples: [
               "macintosh",
               "golden delicious",
            ]
         },
         {
            oranges: [
               "mandarin",
            ]
         },
         {
            apples: [
               "braeburn",
               "honeycrisp",
            ]
         }
      ]
   }
)

The following aggregation pipeline accesses the nested apples arrays inside inventory:

db.fruits.aggregate( [
   { $project:
      { all_apples: "$inventory.apples" } }
] )

In this pipeline, $inventory.apples resolves to an array of nested arrays. The pipeline returns the following document:

{
   _id: ObjectId('5ba53172ce6fa2fcfc58e0ac'),
   all_apples: [
      [ "macintosh", "golden delicious" ],
      [ "braeburn", "honeycrisp" ]
   ]
}

Learn More

For more information on accessing and interacting with nested elements, see Dot Notation and Query an Array of Embedded Documents.