mongodb节点中的$unwind$聚合操作
请检查此查询mongodb节点中的$unwind$聚合操作,mongodb,mongoose,aggregation-framework,Mongodb,Mongoose,Aggregation Framework,请检查此查询 db.billsummaryofthedays.aggregate([ { '$match': { 'userId': ObjectId('5e43de778b57693cd46859eb'), 'adminId': ObjectId('5e43e5cdc11f750864f46820'), 'date': ISODate("2020-02-11T16:30:00Z"),
db.billsummaryofthedays.aggregate([
{
'$match': {
'userId': ObjectId('5e43de778b57693cd46859eb'),
'adminId': ObjectId('5e43e5cdc11f750864f46820'),
'date': ISODate("2020-02-11T16:30:00Z"),
}
},
{
$lookup:
{
from: "paymentreceivables",
let: { userId: '$userId', adminId: '$adminId' },
pipeline: [
{
$match:
{
paymentReceivedOnDate:ISODate("2020-02-11T16:30:00Z"),
$expr:
{
$and:
[
{ $eq: ["$userId", "$$userId"] },
{ $eq: ["$adminId", "$$adminId"] }
]
}
}
},
{ $project: { amount: 1, _id: 0 } }
],
as: "totalPayment"
}
}, {'$unwind':'$totalPayment'},
{ $group:
{ _id:
{ date: '$date',
userId: '$userId',
adminId: '$adminId' },
totalBill:
{
$sum: '$billOfTheDay'
},
totalPayment:
{
$sum: '$totalPayment.amount'
}
}
},
}
}])
这是我在壳中得到的结果
{
"_id" : {
"date" : ISODate("2020-02-11T18:30:00Z"),
"userId" : ObjectId("5e43de778b57693cd46859eb"),
"adminId" : ObjectId("5e43e5cdc11f750864f46820")
},
"totalBill" : 1595.6799999999998,
"totalPayments" : 100
}
现在这不是我所期望的,我假设由于{'$unwind':'$totalPayment'}
它从数组中取出所有值,因此每个文档都被计数2次。当我删除{'$unwind':'$totalPayment'}
时,totalBill
总和结果是正确的,但totalPayment
是0。
我尝试过其他几种方法,但没有达到预期的效果
以下是我的收藏:
// collection:billsummaryofthedays//
{
"_id" : ObjectId("5e54f784f4032c1694535c0e"),
"userId" : ObjectId("5e43de778b57693cd46859eb"),
"adminId" : ObjectId("5e43e5cdc11f750864f46820"),
"date" : ISODate("2020-02-11T16:30:00Z"),
"UID":"acex01"
"billOfTheDay" : 468,
}
{
"_id" : ObjectId("5e54f784f4032c1694535c0f"),
"UID":"bdex02"
"userId" : ObjectId("5e43de778b57693cd46859eb"),
"adminId" : ObjectId("5e43e5cdc11f750864f46820"),
"date" : ISODate("2020-02-11T16:30:00Z"),
"billOfTheDay" : 329.84,
}
// collection:paymentreceivables//
{
"_id" : ObjectId("5e43e73169fe1e3fc07eb7c5"),
"paymentReceivedOnDate" : ISODate("2020-02-11T16:30:00Z"),
"adminId" : ObjectId("5e43e5cdc11f750864f46820"),
"userId" : ObjectId("5e43de778b57693cd46859eb"),
"amount" : 20,
}
{
"_id" : ObjectId("5e43e73b69fe1e3fc07eb7c6"),
"paymentReceivedOnDate" : ISODate("2020-02-11T16:30:00Z"),
"adminId" : ObjectId("5e43e5cdc11f750864f46820"),
"userId" : ObjectId("5e43de778b57693cd46859eb"),
"amount" : 30,
}
期望的结果应该是
totalBill:797.83
即[468+329.84]和totalPayment:50
即[30+20,]但我得到的结果是期望结果的两倍,即使我能够正确计算其中一个值,另一个结果也是0。如何解决这个问题 由于您在每日账单汇总集合中有多个具有相同数据的文档,因此您可以先分组,然后执行$lookup
——这样两个集合之间的连接将是1----多个而不是多个--多个与当前编写的一样,您可以尝试以下查询以获得所需的o/p和性能增益:
db.billsummaryofthedays.aggregate([
{
"$match": {
"userId": ObjectId("5e43de778b57693cd46859eb"),
"adminId": ObjectId("5e43e5cdc11f750864f46820"),
"date": ISODate("2020-02-11T16:30:00Z"),
}
},
{
$group: {
_id: {
date: "$date",
userId: "$userId",
adminId: "$adminId"
},
totalBill: {
$sum: "$billOfTheDay"
}
}
},
{
$lookup: {
from: "paymentreceivables",
let: {
userId: "$_id.userId",
adminId: "$_id.adminId"
},
pipeline: [
{
$match: {
paymentReceivedOnDate: ISODate("2020-02-11T16:30:00Z"),
$expr: {
$and: [
{
$eq: [
"$userId",
"$$userId"
]
},
{
$eq: [
"$adminId",
"$$adminId"
]
}
]
}
}
},
{
$project: {
amount: 1,
_id: 0
}
}
],
as: "totalPayment"
}
},
{
$addFields: {
totalPayment: {
$reduce: {
input: "$totalPayment",
initialValue: 0,
in: {
$add: [
"$$value",
"$$this.amount"
]
}
}
}
}
}
])
测试:@-whoami是的,它解决了问题感谢您的帮助,很抱歉您知道的响应太晚工作和业务需求-:)