所以我有一个引用博客的用户模型
用户模型
const mongoose = require("mongoose");
const Schema = mongoose.Schema;
const bcrypt = require("bcryptjs");
const userSchema = new Schema(
{
email: {
type: String,
required: true,
index: {
unique: true
}
},
password: {
type: String,
required: true
},
name: {
type: String,
required: true
},
website: {
type: String
},
bio: {
type: String
},
blogs: [
{
type: Schema.Types.ObjectId,
ref: "Blog"
}
]
},
{
timestamps: {
createdAt: "created_at",
updatedAt: "updated_at"
}
}
);
userSchema.pre("save", function(next) {
const user = this;
if (!user.isModified("password")) return next();
bcrypt.genSalt(10, function(err, salt) {
if (err) return next(err);
bcrypt.hash(user.password, salt, function(err, hash) {
if (err) return next(err);
user.password = hash;
next();
});
});
});
userSchema.methods.comparePassword = function(password, next) {
bcrypt.compare(password, this.password, function(err, isMatch) {
if (err) return next(err);
next(null, isMatch);
});
};
const User = mongoose.model("User", userSchema);
module.exports = User;
这是我的博客收藏,其中包含对评论模型的引用
const mongoose = require("mongoose");
const Schema = mongoose.Schema;
const blogSchema = new Schema(
{
title: {
type: String,
required: true
},
body: {
type: String,
required: true
},
author: {
type: Schema.Types.ObjectId,
ref: "User"
},
likesCount: {
type: Number
},
comments: [
{
type: Schema.Types.ObjectId,
ref: "Comment"
}
]
},
{
timestamps: {
createdAt: "created_at",
updatedAt: "updated_at"
}
}
);
const Blog = mongoose.model("Blog", blogSchema);
module.exports = Blog;
这是我的评论模型,其中引用了用户模型
const mongoose = require("mongoose");
const Schema = mongoose.Schema;
const CommentSchema = new Schema(
{
body: {
type: String,
required: true
},
likesCount: {
type: Number
},
user: {
type: Schema.Types.ObjectId,
ref: "User"
}
},
{
timestamps: {
createdAt: "created_at",
updatedAt: "updated_at"
}
}
);
const Comment = mongoose.model("Comment", CommentSchema);
module.exports = Comment;
如果我要获取用户数据,我想获取博客以及评论数据, 我有此代码
exports.getCurrentUser = async (req, res) => {
const ObjectId = mongoose.Types.ObjectId;
const users = await User.findById({ _id: new ObjectId(req.user._id) })
.populate({
path: "blogs",
model: "Blog"
})
.exec();
console.log(users);
return res.status(200).json(users);
};
但博客不多
如何实现这种嵌套引用获取?
答案 0 :(得分:1)
我认为问题在于模型必须是模型引用,而不是模型名称。因此它必须是model: Blog
而不是model: "Blog"
。
我还建议您重新设计架构,因为模型之间有很多引用。添加,插入或删除博客或评论时,您将必须进行2次数据库调用。
我将从用户架构中删除博客字段,并从博客架构中删除评论字段,并按如下所示设置虚拟填充:
用户架构:
const userSchema = new Schema(
{
email: {
type: String,
required: true,
index: {
unique: true
}
},
password: {
type: String,
required: true
},
name: {
type: String,
required: true
},
website: {
type: String
},
bio: {
type: String
}
},
{
timestamps: {
createdAt: "created_at",
updatedAt: "updated_at"
},
toJSON: {
virtuals: true
}
}
);
userSchema.virtual("blogs", {
ref: "Blog",
foreignField: "author",
localField: "_id"
});
博客架构:
const blogSchema = new Schema(
{
title: {
type: String,
required: true
},
body: {
type: String,
required: true
},
author: {
type: Schema.Types.ObjectId,
ref: "User"
},
likesCount: {
type: Number
}
},
{
timestamps: {
createdAt: "created_at",
updatedAt: "updated_at"
},
toJSON: { virtuals: true }
}
);
blogSchema.virtual("comments", {
ref: "Comment",
foreignField: "blog",
localField: "_id"
});
请注意,我在两个模式中都添加了toJSON: { virtuals: true }
选项。
现在,您可以通过以下查询获得带有评论的用户博客:
const user = await User.findById(req.user._id)
.populate({
path: "blogs",
populate: "comments"
})
.select("-password")
.exec();
测试:
假设您是这些样本文档。
db={
"users": [
{
"_id": "5e53b1726f41c765fc4def9c",
"email": "user1@gmail.com",
"password": "$2a$10$.heEhkN2BhxZiw8upgjGQe.r3Gt78JVfuAqLqf6lHwireaKJSrrTO",
"name": "User1"
},
{
"_id": "5e53b1906f41c765fc4def9d",
"email": "user2@gmail.com",
"password": "$2a$10$tEaXpoeH5iXVzqmzozAFOOu.Nxb32Ssy1XS5CAqad7qqanHQkrqjK",
"name": "User2"
},
{
"_id": "5e53b1996f41c765fc4def9e",
"email": "user3@gmail.com",
"password": "$2a$10$4s34RLnSd75WeG8K.gzxxeixkruplzW0vpb7PJR/aL1d3Ia31wj.W",
"name": "User3"
}
],
"blogs": [
{
"_id": "5e53b26c6f41c765fc4def9f",
"title": "Blog1 Title",
"body": "Blog1 Body",
"author": "5e53b1726f41c765fc4def9c"
},
{
"_id": "5e53b2896f41c765fc4defa1",
"title": "Blog2 Title",
"body": "Blog2 Body",
"author": "5e53b1726f41c765fc4def9c"
}
],
"comments": [
{
"_id": "5e53b2f86f41c765fc4defa3",
"body": "Comment1 (user2 on user1's blog1)",
"user": "5e53b1906f41c765fc4def9d",
"blog": "5e53b26c6f41c765fc4def9f"
},
{
"_id": "5e53b3246f41c765fc4defa4",
"body": "Comment2 (user3 on user1's blog1)",
"user": "5e53b1996f41c765fc4def9e",
"blog": "5e53b26c6f41c765fc4def9f"
},
{
"_id": "5e53b34c6f41c765fc4defa5",
"body": "Comment3 (user2 on user1's blog2)",
"user": "5e53b1906f41c765fc4def9d",
"blog": "5e53b2896f41c765fc4defa1"
}
]
}
对于使用_id: "5e53b1726f41c765fc4def9c"
的用户,结果将是这样:
{
"_id": "5e53b1726f41c765fc4def9c",
"email": "user1@gmail.com",
"name": "User1",
"created_at": "2020-02-24T11:20:18.343Z",
"updated_at": "2020-02-24T11:20:18.343Z",
"__v": 0,
"blogs": [
{
"_id": "5e53b26c6f41c765fc4def9f",
"title": "Blog1 Title",
"body": "Blog1 Body",
"author": "5e53b1726f41c765fc4def9c",
"created_at": "2020-02-24T11:24:28.895Z",
"updated_at": "2020-02-24T11:24:28.895Z",
"__v": 0,
"comments": [
{
"_id": "5e53b2f86f41c765fc4defa3",
"body": "Comment1 (user2 on user1's blog1)",
"user": "5e53b1906f41c765fc4def9d",
"blog": "5e53b26c6f41c765fc4def9f",
"created_at": "2020-02-24T11:26:48.506Z",
"updated_at": "2020-02-24T11:26:48.506Z",
"__v": 0
},
{
"_id": "5e53b3246f41c765fc4defa4",
"body": "Comment2 (user3 on user1's blog1)",
"user": "5e53b1996f41c765fc4def9e",
"blog": "5e53b26c6f41c765fc4def9f",
"created_at": "2020-02-24T11:27:32.305Z",
"updated_at": "2020-02-24T11:27:32.305Z",
"__v": 0
}
],
"id": "5e53b26c6f41c765fc4def9f"
},
{
"_id": "5e53b2896f41c765fc4defa1",
"title": "Blog2 Title",
"body": "Blog2 Body",
"author": "5e53b1726f41c765fc4def9c",
"created_at": "2020-02-24T11:24:57.078Z",
"updated_at": "2020-02-24T11:24:57.078Z",
"__v": 0,
"comments": [
{
"_id": "5e53b34c6f41c765fc4defa5",
"body": "Comment3 (user2 on user1's blog2)",
"user": "5e53b1906f41c765fc4def9d",
"blog": "5e53b2896f41c765fc4defa1",
"created_at": "2020-02-24T11:28:12.551Z",
"updated_at": "2020-02-24T11:28:12.551Z",
"__v": 0
}
],
"id": "5e53b2896f41c765fc4defa1"
}
],
"id": "5e53b1726f41c765fc4def9c"
}
另一个选项正在使用MongoDB聚合框架。 使用此选项,您可以删除我为虚拟填充添加的选项。
const users = await User.aggregate([
{
$match: {
_id: req.user._id
}
},
{
$project: {
password: 0
}
},
{
$lookup: {
from: "blogs",
let: {
userId: "$_id"
},
pipeline: [
{
$match: {
$expr: {
$eq: ["$$userId", "$author"]
}
}
},
{
$lookup: {
from: "comments",
let: {
blogId: "$_id"
},
pipeline: [
{
$match: {
$expr: {
$eq: ["$blog", "$$blogId"]
}
}
}
],
as: "comments"
}
}
],
as: "blogs"
}
}
]);
users[0]
将为您提供与选项1相同的结果。