Question

我有一个下面的猫鼬模型。我想订购一些子文档，并按日期进行过滤（例如，仅最后10个子文档）

TotalPlafond有一个数字（tot_plafond），以及每个债务人的子Plafonds列表。 tot_plafond已更新，计算出debtor_plafond的列表，该列表是对所有传输进行求和而得出的。当我询问TotalPlafond时，我只希望有最近的10次转账，所以我应该按日期订购转账，只取最后的10次。我可能还需要在2个日期之间进行一些转移。

我怎么能用猫鼬做到这一点？

这显然行不通。

// this just orders resulting docs, not subdocs
TotalPlafond.findById(id)
            .sort('debtor_plafonds.debtor_taks.transfers.date')

这是你的模特：

/* ====  TotalPlafond Mongoose Model ==== */
{
 tot_plafond     : {type : Number},
 debtor_plafonds : [
    {
       debtor_id      : {type: ObjectID},
       debtor_plafond : {type : Number},
       debtor_taks: [
          {
            task_id   : {type : ObjectID},
            transfers : [ 
                         {
                          amount : {type : Number},
                          date   : {type : Date}
                         }
                        ]
          }
       ]
    }
 ]
}

我想带一个TotalPlafond（例如TotalPlafond.findById(id)），所有的债务人已清盘，但每个债务人的每个债务人任务的最后10次转移

Answer 1

您可以在下面尝试：

db.collection.aggregate([
    {
        $match: {
            _id: ObjectId("5ce66416ff87476e5eef0398")
        }        
    },
    {
        $unwind: "$debtor_plafonds"
    },
    {
        $unwind: "$debtor_plafonds.debtor_taks"
    },
    {
        $unwind: "$debtor_plafonds.debtor_taks.transfers"
    },
    {
        $sort: { 
            "debtor_plafonds.debtor_taks.transfers.date": -1
        }
    },
    {
        $group: {
            _id: {
                "_id": "$_id",  
                "tot_plafond": "$tot_plafond",  
                "debtor_plafonds": "$debtor_plafonds.debtor_id",
                "debtor_taks": "$debtor_plafonds.debtor_taks.task_id",
            },
            // data : { $push: "$$ROOT" },
            transfers : { 
                $push: { 
                    "amount": "$debtor_plafonds.debtor_taks.transfers.amount",
                    "date": "$debtor_plafonds.debtor_taks.transfers.date"    
                } 
            }
        }
    },
    {
        $project: {
            _id: "$_id._id",
            tot_plafond: "$_id.tot_plafond",
            debtor_plafonds: "$_id.debtor_plafonds",
            debtor_taks: "$_id.debtor_taks",
            transfers: { $slice : [ "$transfers",2 ] }
        }
    }
])

我尝试过将虚拟数据。您将得到如下结果：

/* 1 createdAt:23/05/2019, 14:42:54*/
{
    "_id" : ObjectId("5ce66416ff87476e5eef0398"),
    "tot_plafond" : 20,
    "debtor_plafonds" : ObjectId("5c8d5cd4d8d2ab15b37c780a"),
    "debtor_taks" : ObjectId("5cad84b93d124a151f633af1"),
    "transfers" : [
        {
            "amount" : 10,
            "date" : ISODate("2019-02-18T10:32:00.313+05:30")
        },
        {
            "amount" : 10,
            "date" : ISODate("2019-02-18T10:32:00.313+05:30")
        }
    ]
},

/* 2 createdAt:23/05/2019, 14:42:54*/
{
    "_id" : ObjectId("5ce66416ff87476e5eef0398"),
    "tot_plafond" : 20,
    "debtor_plafonds" : ObjectId("5c8d5cd4d8d2ab15b37c780a"),
    "debtor_taks" : ObjectId("5c91c0f121a78f19d9eb3531"),
    "transfers" : [
        {
            "amount" : 10,
            "date" : ISODate("2019-02-18T10:32:00.313+05:30")
        },
        {
            "amount" : 10,
            "date" : ISODate("2019-02-18T10:32:00.313+05:30")
        }
    ]
},

/* 3 createdAt:23/05/2019, 14:42:54*/
{
    "_id" : ObjectId("5ce66416ff87476e5eef0398"),
    "tot_plafond" : 20,
    "debtor_plafonds" : ObjectId("5ca449f6b3171315a29a90dc"),
    "debtor_taks" : ObjectId("5ca449f6b3171315a29a90db"),
    "transfers" : [
        {
            "amount" : 10,
            "date" : ISODate("2019-02-20T10:32:00.313+05:30")
        },
        {
            "amount" : 10,
            "date" : ISODate("2019-02-19T10:32:00.313+05:30")
        }
    ]
},

/* 4 createdAt:23/05/2019, 14:42:54*/
{
    "_id" : ObjectId("5ce66416ff87476e5eef0398"),
    "tot_plafond" : 20,
    "debtor_plafonds" : ObjectId("5cad84b93d124a151f633af0"),
    "debtor_taks" : ObjectId("5cad84b93d124a151f633af2"),
    "transfers" : [
        {
            "amount" : 10,
            "date" : ISODate("2019-02-18T10:32:00.313+05:30")
        },
        {
            "amount" : 10,
            "date" : ISODate("2019-02-18T10:32:00.313+05:30")
        }
    ]
},

/* 5 createdAt:23/05/2019, 14:42:54*/
{
    "_id" : ObjectId("5ce66416ff87476e5eef0398"),
    "tot_plafond" : 20,
    "debtor_plafonds" : ObjectId("5ca449f6b3171315a29a90dc"),
    "debtor_taks" : ObjectId("5cad84b93d124a151f633af3"),
    "transfers" : [
        {
            "amount" : 10,
            "date" : ISODate("2019-02-18T10:32:00.313+05:30")
        },
        {
            "amount" : 10,
            "date" : ISODate("2019-02-18T10:32:00.313+05:30")
        }
    ]
},

/* 6 createdAt:23/05/2019, 14:42:54*/
{
    "_id" : ObjectId("5ce66416ff87476e5eef0398"),
    "tot_plafond" : 20,
    "debtor_plafonds" : ObjectId("5cad84b93d124a151f633af0"),
    "debtor_taks" : ObjectId("5c91c0f121a78f19d9eb3532"),
    "transfers" : [
        {
            "amount" : 10,
            "date" : ISODate("2019-02-18T10:32:00.313+05:30")
        },
        {
            "amount" : 10,
            "date" : ISODate("2019-02-18T10:32:00.313+05:30")
        }
    ]
}

让我知道您想要的结果，我将为此修改查询。

使用Mongo / Mongoose按日期过滤和排序子文档

1 个答案: