MongoDB - 在一个时间范围之间加入

Question

我想在一个时间间隔内组合数据。现在我看到下一个vaviant：

插入数据：

use mydb

db.items.insert( { name : "fakename1", created_at : 100, updated_at: 110 } )
db.items.insert( { name : "fakename1", created_at : 120, updated_at: 130 } )
db.items.insert( { name : "fakename1", created_at : 130, updated_at: 140 } )

db.items.insert( { name : "fakename2", created_at : 101, updated_at: 103 } )
db.items.insert( { name : "fakename2", created_at : 102, updated_at: 105 } )
db.items.insert( { name : "fakename2", created_at : 122, updated_at: 126 } )

我的查询：

db.items.find(
  { $and: [ 
    { created_at: { $gte: 100 } },
    { updated_at: { $lte: 130 }},
    { name: { $eq : "fakename1" }} 
    ] 
  }
).map(function(myDoc) {   
    myDoc.includes_items = db.items.find(
    { $and: [ 
      { created_at: { $gte: myDoc.created_at } }, 
      { updated_at: { $lte: myDoc.updated_at } },
      { name: { $ne : "fakename1" }}  
      ] 
    }).toArray(); 
    return myDoc; 
  }
)

结果：

[
    {
        "_id" : ObjectId("58ab2f2eafc914fa3475f42f"),
        "name" : "fakename1",
        "created_at" : 100,
        "updated_at" : 110,
        "includes_items" : [
            {
                "_id" : ObjectId("58ab2f32afc914fa3475f432"),
                "name" : "fakename2",
                "created_at" : 101,
                "updated_at" : 103
            },
            {
                "_id" : ObjectId("58ab2f32afc914fa3475f433"),
                "name" : "fakename2",
                "created_at" : 102,
                "updated_at" : 105
            }
        ]
    },
    {
        "_id" : ObjectId("58ab2f2eafc914fa3475f430"),
        "name" : "fakename1",
        "created_at" : 120,
        "updated_at" : 130,
        "includes_items" : [
            {
                "_id" : ObjectId("58ab2f32afc914fa3475f434"),
                "name" : "fakename2",
                "created_at" : 122,
                "updated_at" : 126
            }
        ]
    }
]

但是调用 myDoc.events 需要很长时间。我想替换它，使用函数abbreviated syntax，但我不知道该怎么做。也许我应该使用$lookup (aggregation)？