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I have the following MongoDB structure:

Division Collection:

{
  "_id": ObjectId("5b28cab902f28e18b863bd36"),
  "name": "Premier League",
  ...
  "teams": [
    ObjectId("5b28cab902f28e18b863bd01"),
    ObjectId("5b28cab902f28e18b863bd02"),
    ObjectId("5b28cab902f28e18b863bd03"),
    ...
  ]
  ...
},
...

Teams Collection:

{
  "_id": ObjectId("5b28cab902f28e18b863bd01"),
  "name": "Liverpool",
  ...
  "players": [
    ObjectId('5b23tmb902f28e18b863bd01'),
    ObjectId('5b23tmb902f28e18b863bd02'),
    ObjectId('5b23tmb902f28e18b863bd03'),
    ...
  ]
  ...
},
...

Players Collection:

{
  "_id": ObjectId("5b2b9a8bbda339352cc39ec1"),
  "name": "Mohamed Salah",
  "nationality": [
    ObjectId("5b23cn1902f28e18b863bd01"),
    ObjectId("5b23cn2902f28e18b863bd02"),
  ],
  ...
},
...

Countries Collection:

{
  "_id": ObjectId("5b23cn1902f28e18b863bd01"),
  "name": "England",
  ...
},
{
  "_id": ObjectId("5b23cn2902f28e18b863bd02"),
  "name": "Egypt",
  ...
},
...

How to get a result, which is below, using MongoDB aggregation ($lookup, $pipeline, etc):

{
  "divisions": [
    {
      "_id": ObjectId("5b28cab902f28e18b863bd36"),
      "name": "Premier League",
      ...
      "teams": [
        {
          "_id": ObjectId("5b28cab902f28e18b863bd01"),
          "name": "Liverpool",
          ...
          "players": [
            {
              "_id": ObjectId("5b23tmb902f28e18b863bd01"),
              "name": "Mohamed Salah",
              "nationality": [
                {
                  "_id": ObjectId("5b23cn2902f28e18b863bd02"),
                  "name": "Egypt",
                  ...
                },
                {
                  "_id": ObjectId("5b23cn1902f28e18b863bd01"),
                  "name": "England",
                  ...
                }
              ]
              ...
            },
            ...
          ]
        },
        ...
      ]
    },
    {
      "_id": ObjectId("5b28cab902f28e18b863bd37"),
      "name": "Championship",
      ...
    },
    ...
  ]
}

I manage to make a first-level merge:

db.divisions.aggregate([
  {
    $lookup: {
      from: 'teams',
      localField: 'teams',
      foreignField: '_id',
      as: 'teams'
    }
  },
])

and then I ran into difficulties, so I would be very grateful if someone could help me with this issue.

2

Answers


  1. Chosen as BEST ANSWER

    Maybe someone will be useful. Data also can be merged using the populate method:

    db.divisions.find(_id: division_id).populate(
      {
        path: 'teams',
        populate: {
          path: 'players',
          populate: {
            path: 'nationality'
          }
        }
      }
    )
    

  2. You need multi-level nested $lookup with pipeline.

    db.division.aggregate([
      {
        $lookup: {
          from: "teams",
          let: {
            teams: "$teams"
          },
          pipeline: [
            {
              $match: {
                $expr: {
                  $in: [
                    "$_id",
                    "$$teams"
                  ]
                }
              }
            },
            {
              $lookup: {
                from: "players",
                let: {
                  players: "$players"
                },
                pipeline: [
                  {
                    $match: {
                      $expr: {
                        $in: [
                          "$_id",
                          "$$players"
                        ]
                      }
                    }
                  },
                  {
                    $lookup: {
                      from: "countries",
                      localField: "nationality",
                      foreignField: "_id",
                      as: "nationality"
                    }
                  }
                ],
                as: "players"
              }
            }
          ],
          as: "teams"
        }
      }
    ])
    

    Sample Mongo Playground

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