mongodb - 基于数组 Mongoose/Mongodb 中嵌套子文档的 desc 值对查询结果进行排序

Question

我的文档是这样的:

{
 { 
    mlsId: 'RTC749',
    firstName: 'Tommy',
    lastName: 'Davidson',
    officeMlsId: 'RTC2421',
    officeName: 'John Jones Real Estate LLC',
    slug: 'tommy-davidson',
    serviceAreas: [
    {
      name: 'Nashville',
      slug: 'nashville',
      type: 'city',
      totalClosedSales: 3
    },
    {
      name: 'Franklin',
      slug: 'franklin',
      type: 'city',
      totalClosedSales: 7
    }
  },
 {
    id: 'RTC7280',
    firstName: 'Jack',
    lastName: 'Miller',
    slug: 'jack-miller',
    serviceAreas: [
    {
      name: 'Nashville',
      slug: 'nashville',
      type: 'city',
      totalClosedSales: 4
    },
    {
      name: 'Franklin',
      slug: 'franklin',
      type: 'city',
      totalClosedSales: 10
    }
  ]
 },
}

根据子文档中的 slug 查找文档的查询如下所示:

    const localAgents = await Agent.find(
      {
        'serviceAreas.slug': locationSlug,
      },
      '-_id -__v'
    )
      .sort({ 'serviceAreas.totalClosedSales': -1 })

请注意，我想通过位置标签查找代理并使用 totalClosedSales 对结果进行排序，但我无法让它工作。所以期望的结果看起来像这样:

{
  {
    id: 'RTC7280',
    firstName: 'Jack',
    lastName: 'Miller',
    slug: 'jack-miller',
    serviceAreas: [

    {
      name: 'Franklin',
      slug: 'franklin',
      type: 'city',
      totalClosedSales: 10
    },
    {
      name: 'Nashville',
      slug: 'nashville',
      type: 'city',
      totalClosedSales: 4
    }

]
  },

 { 
    mlsId: 'RTC749',
    firstName: 'Tommy',
    lastName: 'Davidson',
    officeMlsId: 'RTC2421',
    officeName: 'John Jones Real Estate LLC',
    slug: 'tommy-davidson',
    serviceAreas: [
    {
      name: 'Nashville',
      slug: 'nashville',
      type: 'city',
      totalClosedSales: 3
    },
    {
      name: 'Franklin',
      slug: 'franklin',
      type: 'city',
      totalClosedSales: 7
    }
    ]
  },
}

Answer 1

我们不能直接对数组进行排序，但是聚合可以帮助它

• $unwind 帮助解构数组
• $sort 帮助按您的意愿排序
• $group 帮助重新分组解构数组

下面给出了Mongo脚本

db.collection.aggregate([
  {
    "$match": {
      "serviceAreas.slug": "nashville"
    }
  },
  {
    $unwind: "$serviceAreas"
  },
  {
    $sort: {
      "serviceAreas.totalClosedSales": -1
    }
  },
  {
    $addFields: {
      total: "$serviceAreas.totalClosedSales"
    }
  },
  {
    $sort: {
      total: -1
    }
  },
  {
    $group: {
      _id: "$_id",
      mlsId: {
        $first: "$mlsId"
      },
      firstName: {
        $first: "$firstName"
      },
      lastName: {
        $first: "$lastName"
      },
      slug: {
        $first: "$slug"
      },
      serviceAreas: {
        $push: "$serviceAreas"
      }
    }
  }
])

工作 Mongo playground