如何使用另一个集合猫鼬查找子查询文档
How to lookup subquery documents with another collection moongoose
我需要两次加入用户集合,因为同一用户会将 post 产品和购买的用户详细信息作为子文档。
产品架构:
{
product_title: String,
product_desc: String,
Product_purchased:[
{
userid: mongoose.Schema.ObjectId,
purchased_date: Date
}]
posteduserId: mongoose.Schema.ObjectId
}
用户架构:
{
_id: userId,
name: String,
Pic: String
}
示例文档:
[
{
"product_title":"title",
"product_desc":"desc",
"Product_purchased":[
{
"userid":"5d4hvh7duc7c7c8d9scbe",
"name":"name",
"Pic":"url",
"purchased_date":"Date"
},
{
"userid":"5d4hvh7duc7c7c8d9scbe",
"name":"name",
"Pic":"url",
"puchased_date":"Date"
}
],
"posteduserId": "5d4hvh7duc7c7c8d9scbe",
"userid": "5d4hvh7duc7c7c8d9scbe",
"name": "name",
"pic": "url",
}
]
使用 posted userid 和购买的 userIds 的子数组加入同一用户 table。
请帮我破解这个,先谢谢了。
首先,您需要像这样修复您的产品架构以包含 ref 字段:
const mongoose = require("mongoose");
const ProductSchema = new mongoose.Schema({
product_title: String,
product_desc: String,
Product_purchased: [
{
userid: {
type: mongoose.Schema.ObjectId,
ref: "User"
},
purchased_date: Date
}
],
posteduserId: {
type: mongoose.Schema.ObjectId,
ref: "User"
}
});
module.exports = mongoose.model("Product", ProductSchema);
我这样设置用户模型:
const mongoose = require("mongoose");
const UserSchema = new mongoose.Schema({
name: String,
Pic: String
});
module.exports = mongoose.model("User", UserSchema);
ref User
值必须与用户模型中的模型名称 User
匹配。
然后你需要像这样填充两次:
router.get("/products", async (req, res) => {
const result = await Product.find({})
.populate("Product_purchased.userid")
.populate("posteduserId");
res.send(result);
});
假设您有这 3 个用户:
{
"_id": "5e133deb71e32b6a68478ab4",
"name": "user1 name",
"Pic": "user1 pic",
"__v": 0
},
{
"_id": "5e133df871e32b6a68478ab5",
"name": "user2 name",
"Pic": "user2 pic",
"__v": 0
},
{
"_id": "5e133e0271e32b6a68478ab6",
"name": "user3 name",
"Pic": "user3 pic",
"__v": 0
}
而这个产品:
{
"_id": "5e133e9271e32b6a68478ab8",
"product_title": "product1 title",
"product_desc": "product1 description",
"Product_purchased": [
{
"purchased_date": "2020-01-06T14:02:14.029Z",
"_id": "5e133e9271e32b6a68478aba",
"userid": "5e133df871e32b6a68478ab5"
},
{
"purchased_date": "2020-01-06T14:02:14.029Z",
"_id": "5e133e9271e32b6a68478ab9",
"userid": "5e133e0271e32b6a68478ab6"
}
],
"posteduserId": "5e133deb71e32b6a68478ab4",
"__v": 0
}
结果将是:
[
{
"_id": "5e133e9271e32b6a68478ab8",
"product_title": "product1 title",
"product_desc": "product1 description",
"Product_purchased": [
{
"purchased_date": "2020-01-06T14:02:14.029Z",
"_id": "5e133e9271e32b6a68478aba",
"userid": {
"_id": "5e133df871e32b6a68478ab5",
"name": "user2 name",
"Pic": "user2 pic",
"__v": 0
}
},
{
"purchased_date": "2020-01-06T14:02:14.029Z",
"_id": "5e133e9271e32b6a68478ab9",
"userid": {
"_id": "5e133e0271e32b6a68478ab6",
"name": "user3 name",
"Pic": "user3 pic",
"__v": 0
}
}
],
"posteduserId": {
"_id": "5e133deb71e32b6a68478ab4",
"name": "user1 name",
"Pic": "user1 pic",
"__v": 0
},
"__v": 0
}
]
我需要两次加入用户集合,因为同一用户会将 post 产品和购买的用户详细信息作为子文档。
产品架构:
{
product_title: String,
product_desc: String,
Product_purchased:[
{
userid: mongoose.Schema.ObjectId,
purchased_date: Date
}]
posteduserId: mongoose.Schema.ObjectId
}
用户架构:
{
_id: userId,
name: String,
Pic: String
}
示例文档:
[
{
"product_title":"title",
"product_desc":"desc",
"Product_purchased":[
{
"userid":"5d4hvh7duc7c7c8d9scbe",
"name":"name",
"Pic":"url",
"purchased_date":"Date"
},
{
"userid":"5d4hvh7duc7c7c8d9scbe",
"name":"name",
"Pic":"url",
"puchased_date":"Date"
}
],
"posteduserId": "5d4hvh7duc7c7c8d9scbe",
"userid": "5d4hvh7duc7c7c8d9scbe",
"name": "name",
"pic": "url",
}
]
使用 posted userid 和购买的 userIds 的子数组加入同一用户 table。
请帮我破解这个,先谢谢了。
首先,您需要像这样修复您的产品架构以包含 ref 字段:
const mongoose = require("mongoose");
const ProductSchema = new mongoose.Schema({
product_title: String,
product_desc: String,
Product_purchased: [
{
userid: {
type: mongoose.Schema.ObjectId,
ref: "User"
},
purchased_date: Date
}
],
posteduserId: {
type: mongoose.Schema.ObjectId,
ref: "User"
}
});
module.exports = mongoose.model("Product", ProductSchema);
我这样设置用户模型:
const mongoose = require("mongoose");
const UserSchema = new mongoose.Schema({
name: String,
Pic: String
});
module.exports = mongoose.model("User", UserSchema);
ref User
值必须与用户模型中的模型名称 User
匹配。
然后你需要像这样填充两次:
router.get("/products", async (req, res) => {
const result = await Product.find({})
.populate("Product_purchased.userid")
.populate("posteduserId");
res.send(result);
});
假设您有这 3 个用户:
{
"_id": "5e133deb71e32b6a68478ab4",
"name": "user1 name",
"Pic": "user1 pic",
"__v": 0
},
{
"_id": "5e133df871e32b6a68478ab5",
"name": "user2 name",
"Pic": "user2 pic",
"__v": 0
},
{
"_id": "5e133e0271e32b6a68478ab6",
"name": "user3 name",
"Pic": "user3 pic",
"__v": 0
}
而这个产品:
{
"_id": "5e133e9271e32b6a68478ab8",
"product_title": "product1 title",
"product_desc": "product1 description",
"Product_purchased": [
{
"purchased_date": "2020-01-06T14:02:14.029Z",
"_id": "5e133e9271e32b6a68478aba",
"userid": "5e133df871e32b6a68478ab5"
},
{
"purchased_date": "2020-01-06T14:02:14.029Z",
"_id": "5e133e9271e32b6a68478ab9",
"userid": "5e133e0271e32b6a68478ab6"
}
],
"posteduserId": "5e133deb71e32b6a68478ab4",
"__v": 0
}
结果将是:
[
{
"_id": "5e133e9271e32b6a68478ab8",
"product_title": "product1 title",
"product_desc": "product1 description",
"Product_purchased": [
{
"purchased_date": "2020-01-06T14:02:14.029Z",
"_id": "5e133e9271e32b6a68478aba",
"userid": {
"_id": "5e133df871e32b6a68478ab5",
"name": "user2 name",
"Pic": "user2 pic",
"__v": 0
}
},
{
"purchased_date": "2020-01-06T14:02:14.029Z",
"_id": "5e133e9271e32b6a68478ab9",
"userid": {
"_id": "5e133e0271e32b6a68478ab6",
"name": "user3 name",
"Pic": "user3 pic",
"__v": 0
}
}
],
"posteduserId": {
"_id": "5e133deb71e32b6a68478ab4",
"name": "user1 name",
"Pic": "user1 pic",
"__v": 0
},
"__v": 0
}
]