Node.js MongoDB$查找2级嵌套文档,不使用$unwind

Node.js MongoDB$查找2级嵌套文档,不使用$unwind,node.js,mongodb,mongoose,mongodb-query,aggregation-framework,Node.js,Mongodb,Mongoose,Mongodb Query,Aggregation Framework,我有以下文件 loanRequest(只写我想投射的密钥) 抵押珠宝 { "_id": "5f2bf26783f65d33026ea593", "netweight": 8.52, "purity": 19, } 我想要达到的是 { "_id": "5f2bf2b583f65d33026ea603", "lendingpartner"

我有以下文件

loanRequest(只写我想投射的密钥)

抵押珠宝

{
  "_id": "5f2bf26783f65d33026ea593",
  "netweight": 8.52,
  "purity": 19,
}

我想要达到的是

{
  "_id": "5f2bf2b583f65d33026ea603",
  "lendingpartner": { 
     /* some keys here */
  },
  "loans": [
    {
      "loanid": 40010,
      "loanamount": 100000,
      "jewels": [
        {
          "_id": "5f2bf26783f65d33026ea593",
          "netweight": 8.52,
          "purity": 19,
        },
        {
          "_id": "5f2bf26783f65d33026ea594",
          "netweight": 5.2,
          "purity": 40,
        },
        {
          "_id": "5f2bf26783f65d33026ea595",
          "netweight": 4.52,
          "purity": 39,
        }
      ]
    }
  ]
}
由于我希望在每笔贷款的jewels数组中填充jewel详细信息,
$unwind
对我没有帮助。(我试着用它做实验)

我以为我可以在loans数组上运行
$map
,然后对贷款的每个宝石运行
$lookup
(双重映射?),但无法找到可行的解决方案。 无论如何,这似乎不是正确的方法


这是我能想到的最好的结果(远不是我想要的结果)。我正在使用贴图从对象中选择性地拾取关键点

const loanrequests = await db.collection('loanrequest').aggregate([
  { $match: { requester: ObjectID(user.id) } },
  {
    $project: {
      lendingpartner: {
        name: 1,
        branchname: '$branch.branchname',
      },
      loans: {
        $map: {
          input: '$loans',
          as: 'loan',
          in: {
            loanid: '$$loan.loanid',
            loanamount: '$$loan.amount',
            jewels: '$$loan.jewels',
          },
        },
      },
    },
  },
  /*
  * I experimented with unwind here. Tried adding 
  * { $unwind: '$loans' },
  * { $unwind: '$loans.jewels' }
  * but it does not give me the result I need (as already said before)
  */
]).toArray();
我想,我需要在投影之前进行
$lookup
,但由于文档的两级嵌套结构(首先是
loans
数组,然后是
loans.jewels
),我很难编写一个可行的解决方案

我今天开始使用mongodb聚合器,在寻找答案的过程中,我偶然发现了一个类似的问题,但它似乎更复杂,因此我更难理解


谢谢

如果你不想通过聚合实现其他目标,你可以使用。在mongoose中填充

LoanReqests
  .find(
    {requester: user.id},
    {name: 1, branch: 1, loans: 1} // Projection
  )
  .populate('loans.jewels');
如果您必须使用aggregate来执行示例中没有的操作,那么$unwind确实是您的最佳选择,但是$lookup之后的$grouping可以获得您想要的输出。如果这对你不起作用,你能详细说明$unwind的问题是什么吗?我猜这与您的问题中未列出的字段有关

如前一个答案中所述,
$unwind
,然后是
$group
,应该是一种方法

当然,在分组之前(我认为这是“未读取”运行unwind的结果),我需要运行
$lookup
,以填充
loans.jewels

下面是在前面答案的基础上构建的整个解决方案

const loanRequests = await db.collection('loanRequest').aggregate([
  { $match: { requester: ObjectID(user.id) } },
  {
    $project: {
      lender: '$lendingpartner.name',
      branch: '$lendingpartner.branch.branchname',
      loans: 1,
    },
  },
  { $unwind: '$loans' },
  {
    $lookup: {
      localField: 'loans.jewels',
      from: 'pledgedJewel',
      foreignField: '_id',
      as: 'loans.jewels',
    },
  },
  {
    $group: {
      _id: '$_id',
      branch: { $first: '$branch' },
      lender: { $first: '$lender' },
      loans: { $push: '$loans' },
    },
  },
  {
    $project: {
      _id: 1,
      branch: 1,
      lender: 1,
      loans: 1,
    },
  },
]).toArray();

类型不匹配的问题 另一个问题是,由于类型不匹配,我的
$lookup
无法工作。在我正在运行聚合的loanRequest集合中,
loans.jewels
中的id属于
string
类型,而质押Jewel中的外部字段
\U id
ObjectId

这可以通过使用
$toObjectId
$toString
解决(仅在mongodb版本>=4.0中受支持)

但是,我运行的是更低版本的mongodb,因此这些聚合对我来说不起作用。唯一的解决办法是将
loans.jewels
的类型更改为
ObjectId
,而不是像我那样将其保留为
string

更多关于类型不匹配的信息


你说得对,
$unwind
后跟
$group
将获得所需的输出。之前我没有意识到
$group
,我对如何“unpread”(在运行$unwind之后)一无所知。我试着建立你的解决方案,并得到了预期的结果。
db.loanRequests.aggregate([
  {
    $project: {
      name: 1,
      loans: 1,
      branch: "$branch.name"
    }
  },
  {
    $unwind: "$loans"
  },
  {
    $lookup: {
      localField: "loans.jewels",
      foreignField: "_id",
      from: "jewels",
      as: "loans.jewels"
    }
  },
  {
    $group: {
      _id: "$_id",
      name: {
        $first: "$name"
      },
      branch: {
        $first: "$branch"
      },
      loans: {
        $push: "$loans"
      }
    }
  }
])
const loanRequests = await db.collection('loanRequest').aggregate([
  { $match: { requester: ObjectID(user.id) } },
  {
    $project: {
      lender: '$lendingpartner.name',
      branch: '$lendingpartner.branch.branchname',
      loans: 1,
    },
  },
  { $unwind: '$loans' },
  {
    $lookup: {
      localField: 'loans.jewels',
      from: 'pledgedJewel',
      foreignField: '_id',
      as: 'loans.jewels',
    },
  },
  {
    $group: {
      _id: '$_id',
      branch: { $first: '$branch' },
      lender: { $first: '$lender' },
      loans: { $push: '$loans' },
    },
  },
  {
    $project: {
      _id: 1,
      branch: 1,
      lender: 1,
      loans: 1,
    },
  },
]).toArray();
{ $project: { jewelObjId: { $toObjectId: '$loans.jewels' } } },   // for mongodb >= 4.0
{
  $lookup: {
    localField: 'jewelObjId',  // for mongodb >= 4.0
    from: 'pledgedjewel',
    foreignField: '_id',
    as: 'loans.jewels',
  },
},