我正在与 MongoDB 中新的(可爱的)lookup 运算符作斗争。我有 3 个集合:

艺术家

{ 
    "_id" : ObjectId("5b0d2b2c7ac4792df69a9942"), 
    "name" : "Dream Theater", 
    "started_in" : NumberInt(1985), 
    "active" : true, 
    "country" : "US", 
    "current_members" : [
        ObjectId("5b0d2a7c7ac4792df69a9941")
    ], 
    "previous_members" : [
        ObjectId("5b0d2bf57ac4792df69a9954")
    ], 
    "albums" : [
        ObjectId("5b0d16ee7ac4792df69a9924"), 
        ObjectId("5b0d47667ac4792df69a9994")
    ], 
    "genres" : [
        "prog metal", 
        "prog rock"
    ]
}

专辑

{ 
    "_id" : ObjectId("5b0d16ee7ac4792df69a9924"), 
    "title" : "Images and words", 
    "released" : ISODate("1992-07-07T00:00:00.000+0000"), 
    "songs" : [
        ObjectId("5b0d15ab7ac4792df69a9916"), 
        ObjectId("5b0d15ee7ac4792df69a991e"), 
        ObjectId("5b0d2db37ac4792df69a995d"), 
        ObjectId("5b0d2dbe7ac4792df69a995e"), 
        ObjectId("5b0d2dcb7ac4792df69a995f"), 
        ObjectId("5b0d2dd87ac4792df69a9960"), 
        ObjectId("5b0d2de27ac4792df69a9961"), 
        ObjectId("5b0d2dec7ac4792df69a9962")
    ], 
    "type" : "LP"
}
{ 
    "title" : "Awake", 
    "released" : ISODate("1994-10-04T00:00:00.000+0000"), 
    "songs" : [
        ObjectId("5b0d470d7ac4792df69a9991")
    ], 
    "type" : "LP", 
    "_id" : ObjectId("5b0d47667ac4792df69a9994")
}

歌曲

{ 
    "_id" : ObjectId("5b0d15ab7ac4792df69a9916"), 
    "title" : "Pull me under"
}
{ 
    "_id" : ObjectId("5b0d15ee7ac4792df69a991e"), 
    "title" : "Another day"
}
{ 
    "title" : "Take the time", 
    "_id" : ObjectId("5b0d2db37ac4792df69a995d")
}
{ 
    "title" : "Surrounded", 
    "_id" : ObjectId("5b0d2dbe7ac4792df69a995e")
}
{ 
    "title" : "Metropolis - part I", 
    "_id" : ObjectId("5b0d2dcb7ac4792df69a995f")
}
{ 
    "title" : "Under a glass moon", 
    "_id" : ObjectId("5b0d2dd87ac4792df69a9960")
}
{ 
    "title" : "Wait for sleep", 
    "_id" : ObjectId("5b0d2de27ac4792df69a9961")
}
{ 
    "title" : "Learning to live", 
    "_id" : ObjectId("5b0d2dec7ac4792df69a9962")
}
{ 
    "title" : "6:00", 
    "_id" : ObjectId("5b0d470d7ac4792df69a9991")
}

我可以轻松地使用 $lookup 进行聚合以获取详细的 albums 数组，但是如何在中获取详细的 songs对应的专辑？ 我想扩展以下查询:

db.artists.aggregate([ {
    $lookup: {
           from: "albums",
           localField: "albums",    
           foreignField: "_id",
           as: "albums"
    }
}]).pretty()

最佳答案

如果你有 mongodb 版本 3.6 那么你可以尝试嵌套 $lookup聚合...

db.collection.aggregate([
  { "$lookup": {
    "from": Albums.collection.name,
    "let": { "albums": "$albums" },
    "pipeline": [
       { "$match": { "$expr": { "$in": [ "$_id", "$$albums" ] } } },
       { "$lookup": {
         "from": Songs.collection.name,
         "let": { "songs": "$songs" },
         "pipeline": [
           { "$match": { "$expr": { "$in": [ "$_id", "$$songs" ] } } }
         ],
         "as": "songs"
       }}
     ],
     "as": "albums"
  }}
 ])

对于冗长的解释，您可以浏览 $lookup multiple levels without $unwind?

或者如果您的 mongodb 版本低于 3.6

db.collection.aggregate([
  { "$lookup": {
    "from": Albums.collection.name,
    "localField": "albums",
    "foreignField": "_id",
    "as": "albums"
  }},
  { "$unwind": "$albums" },
  { "$lookup": {
    "from": Songs.collection.name,
    "localField": "albums.songs",
    "foreignField": "_id",
    "as": "albums.songs",
  }},
  { "$group": {
    "_id": "$_id",
    "name": { "$first": "$name" },
    "started_in": { "$first": "$started_in" },
    "active": { "$first": "$active" },
    "country": { "$first": "$country" },
    "albums": {
      "$push": {
        "_id": "$albums._id",
        "title": "$albums.title",
        "released": "$albums.released",
        "type": "$albums.type",
        "songs": "$albums.songs"
      }
    }
  }}
])

关于mongodb - $在mongodb中查找嵌套数组，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/50584694/