同一集合中的$aggregation和$look-up-mongodb

同一集合中的$aggregation和$look-up-mongodb,mongodb,aggregation-framework,lookup,Mongodb,Aggregation Framework,Lookup,结构或多或少是相似的 [ {id: 1, name: "alex" , children: [2, 4, 5]}, {id: 2, name: "felix", children: []}, {id: 3, name: "kelly", children: []}, {id: 4, name: "hannah", children: []}, {id: 5, name: "sonny", children: [6]}, {id: 6, nam

结构或多或少是相似的

[   
    {id: 1, name: "alex" , children: [2, 4, 5]},
    {id: 2, name: "felix", children: []},
    {id: 3, name: "kelly", children: []},
    {id: 4, name: "hannah", children: []},
    {id: 5, name: "sonny", children: [6]},
    {id: 6, name: "vincenzo", children: []}
]
children
数组不为空时,我想用名称替换
children
id

因此,查询结果预期为:

[   {id: 1, name: "alex" , children: ["felix", "hannah" , "sonny"]}
    {id: 5, name: "sonny", children: ["vincenzo"]}
]
我为实现这一目标做了什么

db.list.aggregate([
  {$lookup: { from: "list", localField: "id", foreignField: "children", as: "children" }},
  {$project: {"_id" : 0, "name" : 1, "children.name" : 1}},
])
用其父对象填充子对象,这不是我想要的:)


我误解了什么?

在使用
$lookup
阶段之前,您应该对子数组使用
$unwind
,然后对子数组使用
$lookup
。在
$lookup
阶段之后,您需要使用
$group
获取具有名称的子数组,而不是id

你可以试试:

db.list.aggregate([
    {$unwind:"$children"},
    {$lookup: { 
        from: "list",
        localField: "children",
        foreignField: "id",
        as: "childrenInfo" 
      }
    },
    {$group:{
       _id:"$_id",
       children:{$addToSet:{$arrayElemAt:["$childrenInfo.name",0]}},
       name:{$first:"$name"}
      }
    }
]);

// can use $push instead of $addToSet if name can be duplicate
为什么使用
$group

例如: 你的第一份文件

{id: 1, name: "alex" , children: [2, 4, 5]}
$unwind
之后,您的文档将如下所示

{id: 1, name: "alex" , children: 2},
{id: 1, name: "alex" , children: 4},
{id: 1, name: "alex" , children: 5}
$lookup之后

{id: 1, name: "alex" , children: 2,
  "childrenInfo" : [ 
        {
            "id" : 2,
            "name" : "felix",
            "children" : []
        }
    ]},
//....
然后在
$group

 {id: 1, name: "alex" , children: ["felix", "hannah" , "sonny"]}

在当前的Mongo 3.4版本中,您可以使用
$graphLookup

$maxDepth
设置为
0
进行非递归查找。您可能希望在查找之前添加一个
$match
阶段,以筛选没有子项的记录

db.list.aggregate([{
    $graphLookup: {
        from: "list",
        startWith: "$children",
        connectFromField: "children",
        connectToField: "id",
        as: "childrens",
        maxDepth: 0,
    }
}, {
    $project: {
        "_id": 0,
        "name": 1,
        "childrenNames": "$childrens.name"
    }
}]);

谢谢你的回答。我理解我关于
localField
foreignField
的错误。但是你能解释一下查询中的
$group
吗?因为
$unwind
子数组需要使用
$group
来为每个子数组创建单独的文档,然后再次使用子数组来创建子数组。可以看到,在每个聚合方法之后都显示了当前状态,这使得后续操作更加容易+1.
db.list.aggregate([{
    $graphLookup: {
        from: "list",
        startWith: "$children",
        connectFromField: "children",
        connectToField: "id",
        as: "childrens",
        maxDepth: 0,
    }
}, {
    $project: {
        "_id": 0,
        "name": 1,
        "childrenNames": "$childrens.name"
    }
}]);