我为“评论”,“产品”和“用户”分别设置了集合。 “评论”集合包含文本,product_id和user_id。提取产品后,我需要产品的详细信息以及结果中的用户详细信息。
我已经使用猫鼬odm创建了架构。我正在使用聚合函数使用$ lookup在产品中填充评论。
Product.aggregate([
{
$match:{
_id:mongoose.Types.ObjectId(id)
}
},
{
$lookup: {
from: "comments",
localField: "_id",
foreignField: "product",
as: "comments"
}
},
{
$match:{
"comments.product":mongoose.Types.ObjectId(id)
}
},
{
$lookup: {
from: "users",
localField: "comments.user._id",
foreignField: "user",
as: "comments.user"
}
}
])
预期结果是
[
{
"_id": "5cc9441feed4c258881c99cd",
"title": "Batman",
"imageUrl": "images\\1556694047310_Batman.jpg",
"price": 555,
"description": "The dark knight",
"user": "5cbca36d4acc5d538c209014",
"__v": 2,
"comments": [
{
"_id": "5cc947125c69600d58c1be05",
"date": "2019-05-01T07:12:42.229Z",
"text": "This product is very nice",
"user":{
"_id": "5cbca36d4acc5d538c209014",
"name": "Clark Kent"
}
},
{
"_id": "5cc96eb4b2834d43f8a24470",
"date": "2019-05-01T09:46:34.774Z",
"text": "Anyone can be Batman",
"user":{
"_id": "5cbca5504acc5d538c209015",
"name": "Bruce Wayne"
},
}
}
]
实际结果是
[
{
"_id": "5cc9441feed4c258881c99cd",
"title": "Batman",
"imageUrl": "images\\1556694047310_Batman.jpg",
"price": 555,
"description": "The dark knight",
"user": "5cbca36d4acc5d538c209014",
"__v": 2,
"comments": {
"user": [
{
"_id": "5cbca5504acc5d538c209015",
"name": "Bruce Wayne",
"email": "batman@gotham.com",
"password": "$2a$12$L.t/nBXq/xlic25Y0a884uGxjlimuNH/tcmWLg.sNkcjJ/C40Q14m",
"contactNumber": 9999999999,
"address": "Somewhere in Gotham",
"__v": 0
},
{
"_id": "5cbca7334acc5d538c209016",
"name": "Superman",
"email": "superman@metro.com",
"password": "$2a$12$mrogzC1Am86b0DnvTzosm.qfu38Ue7RqSNcnVSoCR55PtmLddeZv.",
"contactNumber": 9999999999,
"address": "Somewhere in metropolis",
"__v": 0
},
{
"_id": "5cbca7e54acc5d538c209017",
"name": "Wonder Woman",
"email": "ww@amazon.com",
"password": "$2a$12$Vt9XZUyOTULvel5zNAsMLeoMi3HlaGJJZN7OH2XkWuoAiZtDIGaMq",
"contactNumber": 9999999999,
"address": "Somewhere in Amazon",
"__v": 0
},
{
"_id": "5cbe192934ae2944c8704a5a",
"name": "Barry Allen",
"email": "barry@flash.com",
"password": "$2a$12$k73Wp1HTMv/MhUV3BOok3OSh.nnLq3vWG1Qz9ZTO7iB7saFlxhLjW",
"contactNumber": 9999999999,
"address": "Somewhere in Central City",
"__v": 0
}
]
}
}
]
答案 0 :(得分:2)
您对$lookup
的{{1}}查询正在覆盖users
数组。它不起作用,就像您认为的那样。
您需要展开评论数组,然后运行comments
个用户,然后按产品分组。
编辑:我也用$ group by code更新了查询。您也可以在此处查询以下内容: https://mongoplayground.net/p/2EA-Glz8Hrm
$lookup
答案 1 :(得分:0)
根据Hamza的建议,我对查询进行了以下更改
Product.aggregate([
{
$match: {
_id: mongoose.Types.ObjectId(id)
}
},
{
$lookup: {
from: "comments",
localField: "_id", //field from input document
foreignField: "product", // field from documents of the 'from' collection
as: "comments"
}
},
{
$unwind: "$comments"
},
{
$lookup: {
from: "users",
localField: "comments.user", //field from input document
foreignField: "_id", // field from documents of the 'from' collection
as: "comments.user"
}
},
{
$unwind: "$comments.user"
},
{
$group: {
_id: "$_id",
title: { $first: "$title" }, // $first returns the first expression of the document it encounters, ex. first title
price: { $first: "$price" },
imageUrl: { $first: "$imageUrl" },
description: { $first: "$description" },
rating: { $first: "$rating" },
comments: {
$addToSet: "$comments" // group comments and create an array
}
}
},
{
$project: {
_id: 1,
title: 1,
price: 1,
imageUrl: 1,
description: 1,
rating: 1,
comments: {
_id: 1,
text: 1,
date: 1,
user: {
_id: 1,
name: 1
}
}
}
}
])
有了这个,我得到了想要的结果。