【发布时间】:2021-03-04 19:34:32
【问题描述】:
我有这个查询应该合并两个表并返回结果
db.purchasefromobjectmodel.aggregate([
{
"$lookup":{
"from":"amazonmodels",
"localField":"receiptId",
"foreignField":"receiptId",
"as" :"results"
}])
我如何编辑它,以便它返回我的对象,其中第一个表中的 purchaseDate 等于第二个表的数据(或附近有微小差异>24hrs),对象通过receiptId 链接
编辑:
const purchaseFromAppObjectModelSchema = new mongoose.Schema({
receiptId: String,
sku: String,
itemType: String,
purchaseDate: { type: Date, default: Date.now },
UserData: { type: [userDataModel] },
idfa: String,
status: String,
appName: String,
trafficSource: String,
trafficName: String,
appVersion: String,
deviceName: String,
deviceBrand: String,
});
const amazonSchema = new mongoose.Schema(
{
autoRenewing: Boolean,
betaProduct: Boolean,
cancelDate: Number,
cancelReason: Number,
deferredDate: String,
deferredSku: String,
freeTrialEndDate: Number,
gracePeriodEndDate: Number,
parentProductId: String,
productId: String,
productType: String,
purchaseDate: Number,
quantity: Number,
receiptId: String,
renewalDate: Number,
term: String,
termSku: String,
testTransaction: Boolean,
},
{ timestamps: true, toObject: { virtuals: true }, toJSON: { virtuals: true } }
);
我尝试过的查询:
let result = await purchaseFromAppObjectModel.aggregate([
{
$lookup: {
from: "amazonmodels",
localField: "purchaseDate",
foreignField: "purchaseDate",
as: "purchaseDateInfo",
},
},
// {
// $replaceRoot: {
// newRoot: {
// $mergeObjects: [{ $arrayElemAt: ["$purchaseDateInfo", 0] }, "$$ROOT"],
// },
// },
// },
// { $project: { purchaseDateInfo: 0 } },
]);
This one merges the collections with same receipt id
{
$lookup: {
from: "amazonmodels",
localField: "receiptId",
foreignField: "receiptId",
as: "purchaseDateInfo",
},
},
{
$replaceRoot: {
newRoot: {
$mergeObjects: [{ $arrayElemAt: ["$purchaseDateInfo", 0] }, "$$ROOT"],
},
},
},
{ $project: { purchaseDateInfo: 0 } },
]);
let result = await purchaseFromAppObjectModel.aggregate([
{$match : { purchaseDate : createdAt } } ,
{
$lookup: {
from: "amazonmodels",
localField: "purchaseDate",
foreignField: "purchaseDate",
as: "purchaseDateInfo",
},
},
// {
// $replaceRoot: {
// newRoot: {
// $mergeObjects: [{ $arrayElemAt: ["$purchaseDateInfo", 0] }, "$$ROOT"],
// },
// },
// },
// { $project: { purchaseDateInfo: 0 } },
]);
我认为这是我应该尝试模拟的一个:
db.orders.aggregate([
{
$lookup:
{
from: "warehouses",
let: { order_item: "$item", order_qty: "$ordered" },
pipeline: [
{ $match:
{ $expr:
{ $and:
[
{ $eq: [ "$stock_item", "$$order_item" ] },
{ $gte: [ "$instock", "$$order_qty" ] }
]
}
}
},
{ $project: { stock_item: 0, _id: 0 } }
],
as: "stockdata"
}
}
])
还有更多
【问题讨论】:
-
我已经阅读过它,但我尝试过但没有成功,我想我错过了一些东西,这就是我问的原因
-
然后发布您尝试过的集合和查询的一些文档。
-
为什么
purchaseDate在amazonSchema中是一个数字?是时间戳吗? -
是的,它是亚马逊生成的时间戳
标签: node.js mongodb mongodb-query aggregation-framework