I'm new to MongoDB, and I'm trying to do a very simple task, but however I can't get it right.
What I want is to change the process status but I tried "FindAndUpdate", "UpdateOne" and "FindByIdAndUpdate" but it won't work.
Maybe it has to do with my Schema. Should I create a new Schema for the Process?
My Database entry inside a MongoDB Collection:
_id: 622c98cfc872bcb2578b97a5
username:"foo"
__v:0
process:Array
0: Object
processname:"bar"
process_status:"stopped"
_id: 6230c1a401c66fc025d3cb88
My current Schema:
const User = new mongoose.Schema(
{
username: { type: String, required: true },
process: [
{
processname: {
type: String,
},
process_status: {
type: String,
},
},
],
},
{ collection: "user-data" }
);
My current code:
const startstopprocess = await User.findByIdAndUpdate(
{ _id: "6230c1a401c66fc025d3cb88" },
{ process_status: "started" }
).then(function (error, result) {
console.log(error);
console.log(result);
});
You can use positional operator $ in this way:
db.collection.update({
"process._id": "6230c1a401c66fc025d3cb88"
},
{
"$set": {
"process.$.process_status": "started"
}
})
Note how using positional operator you can say mongo "from the object you have found in find stage, update the process_status variable to started"
Example here
I am new to working on a MongoDB and Docker, I am working on an application and couldn't find a more subtle way to seed my database using an npm run command. First I created a file called seed.js and then associated it to npm run seed command on the package.json file.
On the seed.js file I import Mongoose and the models but two things I will need to do is:
Create roles, if they don’t exist yet
Create capabilities, if they don’t exist yet and associate it to the
roles
The Roles that i want to create are:
admin (description: Administrator)
viewer (description: Viewer)
Capabilities
I need to check each endpoint of the Users service that should require authentication and create an adequate capability. Example: updateUser updates the user data. This could be done by the own user (so there must be an updateUserOwn capability) and by an administrator (that will have an updateUsers capability). I will have to analyse each endpoint and judge what is adequate but I cannot still find a way around getting the initial role and capabilities to the database.
UPDATE:
On the seeding itself, the updated solution works, but it requires lot of code and repetition that could probably be fixed by loops. I’d like to start creating the roles first which means creating an array with objects, with the data from the roles to be created. Each role has the fields role and description
const userRole = [{
role: admin
description: Administrator
},
{
role: viewer
description: Viewer
}]
The idea is that if the role exist it doesn't need to update but I don't know how do I loop through the array and create a role only if it doesn’t exist. Something like using updateOne, with the upsert: true option, but with the data on $setOnInsert as this will add the data only if a document is inserted.
I only need create and not update because in the future I’ll edit roles directly through the API. So, if a change was made on the admin role, for example, the seed will not overwrite it
During the loop, I'll need to create an associative array called rolesIds that will store the ObjectId of the created roles. It should result in something like this:
[
"admin": "iaufh984whrfj203jref",
"viewer": "r9i23jfeow9iefd0ew0",
]
Also each capability must have an array of roles it must be associated to. Example:
{
capability: "updateUsers",
description: "Update the data of all users",
roles: ["admin"]
}
How do I loop through the array on each element, prepare it to be inserted using the array with object IDs. Instead of roles: ["admin"]? something like roles: ["iaufh984whrfj203jref"], otherwise there’ll be a cast error. Remember each capability may be associated to more than one role, so I'll probably need to loop through them but I cannot find a way to create that logic.
Users Model
const userSchema = new mongoose.Schema(
{
.......
role: {
ref: "roles",
type: mongoose.Schema.Types.ObjectId,
},
);
module.exports = mongoose.model("User", userSchema);
Role Model:
const roles = new mongoose.Schema({
role: {
type: String,
required: true,
},
capabilities: [
{
type: mongoose.Schema.Types.ObjectId,
ref: "capabilities",
},
],
});
module.exports = mongoose.model("roles", roles);
Capabilities Model:
const capabilities = new mongoose.Schema({
capability: {
type: String,
required: true,
},
name: {
type: String,
},
});
module.exports = mongoose.model("capabilities", capabilities);
UPDATED: seed file:
const seedDB = async () => {
if (!process.env.DB_URI) {
throw new Error("Error connecting to MongoDB: DB_URI is not defined.");
}
try {
await mongoose.connect(process.env.DB_URI, {
useNewUrlParser: true,
useUnifiedTopology: true,
useCreateIndex: true,
});
console.log("Connected to MongoDB");
const tasks = [
Capability.findOneAndUpdate(
{ name: "updateUserOwn" },
{ capability: "updateUser" },
{ upsert: true }
).exec(),
Capability.findOneAndUpdate(
{ name: "updateUsers" },
{ capability: "updateUser" },
{ upsert: true }
).exec(),
// Seed more...
];
const [updateUserOwn, updateUsers] = await Promise.all(tasks);
Role.bulkWrite([
{
updateOne: {
filter: { role: "Admin" },
update: { capabilities: [updateUsers] },
upsert: true,
},
},
{
updateOne: {
filter: { role: "Viewer" },
update: { capabilities: [updateUserOwn] },
upsert: true,
},
},
]);
console.log("seeded data", tasks);
} catch (error) {
console.log(`Error connecting to MongoDB: ${error}`);
}
};
seedDB();
You are on the right path overall.
Because capabilities are used as a reference you'd have to fetch or create them (get a ref) before assigning them to a role.
This could be your seed logic:
const tasks = [
Capability.findOneAndUpdate(
{ name: 'updateUserOwn' }, // matches or creates this capability
{ capability: 'updateUser' }, // adds this to the object
{ upsert: true, new: true } // `new` guarantees an object is always returned
}).exec(),
Capability.findOneAndUpdate(
{ name: 'updateUsers' },
{ capability: 'updateUser' },
{ upsert: true, new: true }
}).exec(),
// Seed more...
];
const [
updateUserOwn,
updateUsers,
] = await Promise.all(tasks);
// We can use bulk write for the second transaction so it runs in one go
await Role.bulkWrite([
{
updateOne: {
filter: { role: 'Admin' },
update: { capabilities: [updateUsers] },
upsert: true,
}
},
{
updateOne: {
filter: { role: 'Viewer' },
update: { capabilities: [updateUserOwn] },
upsert: true,
}
}
]);
We seed capabilities one by one using findOneAndUpdate so we can get a reference to each capability we intend to use on the roles
Then we use bulkWrite to seed the roles
I might have swapped the capabilities and their names but I hope you get the general idea
The seed would have been simpler if there weren't references involved - you could just use bulkWrite everything in one go, but in order to create object with inner references or add references to such object you first need to have the actual reference
You can create static mapping and loop through which would reduce the code a bit, and make things easier. This would also allow you to skip seeding items that already exist
Since capabilities are reused through roles I want to create them first, but it's no problem to alter the logic to first create roles and then capabilities, though it might not be as straight forward
Also each capability must have an array of roles it must be associated to.
This is called a "many to many" relationship (as roles also have an array of references to capabilities) which would only complicate logic. Are you sure you really need it - mongoose/monogo won't manage it automatically for you:
when you add a capability to a role you'd also need to sync and add the role inside capability.roles - manually
and the reverse - adding a role inside capability.roles you'd need to sync this and also manually add the capability to role.capabilities
the same thing for deleting capabilities or roles - manual cleanup
it can fail and would need to recover - e.g. a capability is added to role.capabilities but for some reason execution stopped and the role was not added to capability.roles - so the whole handling might need to be wrapped in a transaction
there are ways to cross reference roles and capabilities without have to have a "many to many" relationship
Here's a simple approach using save middleware to sync many to many relationships for create/update
Role.js
const mongoose = require('mongoose');
const roles = new mongoose.Schema({
role: {
type: String,
required: true,
},
description: String,
capabilities: [
{
type: mongoose.Schema.Types.ObjectId,
ref: 'capabilities',
},
],
});
roles.pre('save', async function save() {
// Doesn't need to run if there are no capabilities
if (!this.capabilities || this.capabilities.length === 0) return;
const Capability = mongoose.model('capabilities');
await Capability.updateMany(
{ _id: {$in: this.capabilities} },
// Adds only if it's missing
{ $addToSet: { roles: this._id }},
);
});
// Todo: similar logic to remove from capabilities if role is deleted
module.exports = mongoose.model("roles", roles);
Capability.js
const mongoose = require('mongoose');
const capabilities = new mongoose.Schema({
capability: {
type: String,
required: true,
},
description: {
type: String,
},
roles: [
{
type: mongoose.Schema.Types.ObjectId,
ref: 'roles',
}
]
});
capabilities.pre('save', async function save() {
if (!this.roles || this.roles.length === 0) return;
const Role = mongoose.model('roles');
await Role.updateMany(
{_id: {$in: this.roles}},
{$addToSet: {capabilities: this._id}},
);
})
// Todo: similar logic to remove from roles if capability is deleted
module.exports = mongoose.model("capabilities", capabilities);
Here's an update seed routine:
Seed.js
const mongoose = require('mongoose');
const Capability = require('./models/Capability');
const Role = require('./models/Role');
const CAPABILITIES = {
UPDATE_USERS: {
capability: 'updateUsers',
description: 'Update the data of all users',
},
VIEW_USERS: {
capability: 'viewUsers',
description: 'View public data of users',
},
UPDATE_OWN_RECORD: {
capability: 'updateUserOwn',
description: 'Update user own data',
}
}
const ROLES_TO_SEED = [
{
role: 'admin',
description: 'Administrator',
capabilities: [CAPABILITIES.UPDATE_USERS, CAPABILITIES.VIEW_USERS],
},
{
role: 'viewer',
description: 'Viewer',
capabilities: [CAPABILITIES.VIEW_USERS, CAPABILITIES.UPDATE_OWN_RECORD],
}
]
const seedDB = async () => {
await connectToDb();
await seedRoles();
};
const connectToDb = async () => {
if (!process.env.DB_URI) throw new Error('DB_URI is not defined.');
console.info('Connecting to database...');
await mongoose.connect(process.env.DB_URI, {
useNewUrlParser: true,
useUnifiedTopology: true,
useCreateIndex: true,
useFindAndModify: false,
});
console.info('Connected \n');
}
const seedRoles = async () => {
console.log('Seeding Roles...');
// runs sequentially to skip creating duplicate capabilities
for (const role of ROLES_TO_SEED) {
await findOrCreateRole(role);
}
console.log('Complete \n');
}
const findOrCreateRole = async ({capabilities, role, ...defaults}) => {
console.info('Looking for role: ', role);
const fromDb = await Role.findOne({role}).exec();
if (fromDb) {
console.info('Role already exists skipping... \n');
return fromDb;
}
console.info('Role does not exist - creating new \n');
const doc = new Role({role, ...defaults});
// All capabilities (per role) can be created/found in parallel
const roleCapabilities = await Promise.all(capabilities.map(findOrCreateCapability));
doc.capabilities = roleCapabilities.map(c => c._id);
await doc.save();
console.info('Role created: ', role);
console.info('');
return doc;
}
const findOrCreateCapability = async ({capability, ...defaults}) => {
console.info('Looking for capability: ', capability);
let doc = await Capability.findOne({capability}).exec();
if (doc) {
console.info(`Capability ${capability} found - using existing...`);
}
else {
console.info(`Capability ${capability} does not exist - creating new`);
doc = new Capability({capability, ...defaults});
await doc.save();
}
return doc;
}
seedDB()
.then(() => {
console.info('Exiting...: ');
process.exit(0);
})
.catch(error => {
console.error('Seed failed');
console.error(error);
process.exit(1);
})
We have a dictionary of capabilities and a list of roles that we can map to db operations.
The idea is that each role should contain the full definition of a capability, it can be used to either find the existing capability or create it if it doesn't exist
For each role in the list we make a query to see if it exists.
When it exists we do nothing and move to the next role
When it doesn't exist we have all the data needed to create it and create/find any capabilities that it might need
When you figure out all the roles and capabilities of the application you just put them in the ROLES_TO_SEED and CAPABILITIES static mappings
The script relies on the above mentioned middleware modifications in models
And a small bonus
You don't need many to many relationship to match capabilities to the roles they are used in. Here's how you can aggregate that information if only the Role model have an array of capabilities (refs). Run this after the database is seeded:
const showCapabilitiesUsages = async () => {
const result = await Capability.aggregate([
{
$lookup: {
from: 'roles',
let: {searched: '$_id'},
pipeline: [
{
$match: {
$expr: {
$in: ['$$searched', '$capabilities']
}
}
}
],
as: 'roles'
}
}, {
$project: {
_id: 0,
capability: 1,
description: 1,
usedInRoles: {
$map: {
input: '$roles',
as: 'role',
in: '$$role.role',
}
}
}
}
]).exec();
console.log('Aggregate result: ', result);
}
You should get a result like:
Aggregate result: [
{
capability: 'updateUsers',
description: 'Update the data of all users',
usedInRoles: [ 'admin' ]
},
{
capability: 'viewUsers',
description: 'View public data of users',
usedInRoles: [ 'admin', 'viewer' ]
},
{
capability: 'updateUserOwn',
description: 'Update user own data',
usedInRoles: [ 'viewer' ]
}
]
Try something like this, it should would work:
const roles = [
{
name: 'admin',
description: 'Administrator',
},
{
name: 'viewer',
description: 'Viewer',
},
];
const capabilities = [
// Capabilities
{
name: 'createCapability',
description: 'Create a new capability',
roles: ['admin'],
},
{
name: 'deleteCapability',
description: 'Delete a capability',
roles: ['admin'],
}
// Roles
{
name: 'createRole',
description: 'Create a new role',
roles: ['admin'],
},
{
name: 'deleteRole',
description: 'Delete a role',
roles: ['admin'],
},
// Users
{
name: 'updateUser',
description: 'Update current user data',
roles: ['viewer'],
},
{
name: 'updateUsers',
description: 'Update the data from any user',
roles: ['admin'],
},
];
const seedRoles = async (roles) => {
if (0 == roles.length || !Array.isArray(roles)) {
return;
}
console.log('');
for (const role of roles) {
const savedRole = await Role.findOneAndUpdate(
{name: role.name},
{$setOnInsert: role},
{upsert: true, new: true, rawResult: true},
);
if (!savedRole) {
console.log(`Role “${savedRole.value.name}” already on database.`);
} else {
console.log(`Role “${savedRole.value.name}” added to database.`);
}
}
};
const seedCapabilities = async (capabilities) => {
if (0 == capabilities.length || !Array.isArray(capabilities)) {
return;
}
console.log('');
for (const capability of capabilities) {
const rolesToPush = capability.roles;
delete capability.roles;
const addedCapability = await Capability.findOneAndUpdate(
{name: capability.name},
{$setOnInsert: capability},
{upsert: true, new: true, rawResult: true},
);
if (!addedCapability) {
console.log(
`Capability “${addedCapability.value.name}” ` +
`already on database.`,
);
} else {
console.log(
`Capability “${addedCapability.value.name}” ` +
`added to database.`,
);
if (rolesToPush && Array.isArray(rolesToPush)) {
rolesToPush.forEach(async (role) => {
const roleToPush = await Role.findOne({name: role});
if (roleToPush) {
roleToPush.capabilities.push(addedCapability.value);
await roleToPush.save();
}
});
}
}
}
};
const seedDb = async (roles, capabilities, users) => {
try {
await seedRoles(roles);
await seedCapabilities(capabilities);
console.log('roles', roles);
} catch (error) {
console.error(error);
}
};
module.exports = seedDb;
I've got a Mongoose schema set up as follows:
const mongoose = require('mongoose');
const TodoSchema = mongoose.Schema({
id: {
type: String,
required: true,
},
todos: {
type: Array,
required: true,
},
date: {
type: Date,
default: Date.now(),
},
});
module.exports = mongoose.model('todo', TodoSchema, 'todos');
Each of the elements in the todos Array is an Object and has the following format (example):
{
id: 1,
todo: "Do the dishes."
category: "Kitchen"
}
There are multiple documents in my Todo collection and they all contain the same list of Todos. If I wanted to update a specific Todo across ALL documents, I figure I need to use updateMany. I'm using the following in my Todo Update route to update all instances of a Todo:
const { todo } = req.body; // todo.todo contains "Clean the dishes." as an update
Todo.updateMany(
{
todos: { $elemMatch: { id: todo.id } },
},
{ $set: { todo: todo } }
);
I'm assigning the result of the above route code to a variable and console logging the result which comes back with:
{ ok: 0, n: 0, nModified: 0 }
What am I doing wrong? The passed todo id matches the id of a Todo in each of the Todos arrays.
First of all, for your object array, is recommendable create a schema too:
const subSchema = new mongoose.Schema({
id: Number,
todo: String,
category: String
})
const MongooseModel = new mongoose.Schema({
id: String,
todos: [subSchema],
date: Date
})
So now, your array object is defined.
And, the query question is something like that:
db.collection.update({
"todos.id": todo.id
},
{
"$set": {
"todos.$": {newTodo}
}
},
{
"multi": true
})
First, you look for all elements that match your criteria; that is: todos.id = todo.id, then you use $ operator to set all element that match the criteria with your object.
The last line multi is to updated all element that match.
Example playground here
Using moongoose, multi attribute is not neccessary because is set true by default using updateMany().
So moongose query should be something like that.
var update = await model.updateMany(
{
"todos.id": 1
},
{
"$set": {
"todos.$": {
"id": 20,
"todo": "newTodo",
"category": "newCategory"
}
}
})
And for this example data the result is
{ n: 3, nModified: 3, ok: 1 }
const userSchema = new Schema({
username: {
type: String,
required: true
},
email: {
type: String,
required: true
},
password: {
type: String,
required: true
},
posts: [{
type: Schema.Types.ObjectId,
ref: 'Post'
}],
friends: [{
type: Schema.Types.ObjectId,
ref: 'User'
}],
});
// Exporting the schema so it can be accessed by requiring it.
module.exports = mongoose.model('User', userSchema);
As you can see I got this user schema that has a friends array and a posts array.
User.findById(userId).then(result => {
Post.find(query).then(posts => {
res.status(200).json(posts)
}).catch(err => {
if (!err.statusCode) {
err.statusCode = 500;
}
next(err);
})
});
Is there any query that can fit in the find() above in order to get all the posts of the user's friends?
If in the post model you have a link to the user model, that is, some field that identifies who wrote the post, you could use a for loop to search for posts made by the user's friends.
I don't know if this is the best solution but I hope it helps.
As a tip, you should use asynchronous syntax instead of promises, this helps when correcting errors.
async function getFriendsPosts(req,res){
/*in this array we will store the
posts of the user's friends */
let posts = [];
try{
//we check if the user exists
let user = User.findById(req.params.id);
//if it doesn't exist we will send a message
if(!user) res.status(404).send("User not Found");
else{
/* here we compare the id of the friends with the id of
the friends with the "creator" field in the post model*/
for await(let friend of user.friends){
for await(let creator of Post.find()){
/* if there is a match we send
it to the post array*/
if(friend._id.equals(creator._id)){
posts.push(creator);
}
}
}
/*finally we send the array with the posts*/
res.send(posts);
}
}catch(err){
res.status(500).send("Internal Server Error");
}
}
If I suppose that the Post Schema is something like that
{
title: String,
content: String,
owner: { type: Schema.Types.ObjectId, ref: 'User'}
}
then we can use aggregate pipeline to get the friends posts of some user
something like that
db.users.aggregate([
{
$match: {
_id: "userId1" // this should be of type ObjectId, you need to convert req.params.id to ObjectId (something like: mongoose.Types.ObjectId(req.params.id) instead of 'userId1')
}
},
{
$lookup: {
from: "posts",
let: {
friendsIDs: "$friends"
},
pipeline: [
{
$match: {
$expr: {
$in: ["$owner", "$$friendsIDs"]
}
}
}
],
as: "friendsPosts"
}
}
])
you can test it here Mongo Playground
feel free to replace these 'userId1', 'userId2', ..., 'postId1, 'postId2', .. in this link with your real users and posts Ids
by this way, you got the friends posts of some user in one query rather than two queries
then the function will be something like that
User.aggregate([
{
$match: {
_id: mongoose.Types.ObjectId(req.params.id)
}
},
{
$lookup: {
from: "posts", // this should be the posts collection name, It may be 'Post' not 'posts', check it
let: {
friendsIDs: "$friends"
},
pipeline: [
{
$match: {
$expr: {
$in: ["$owner", "$$friendsIDs"]
}
}
}
],
as: "friendsPosts"
}
}
]).then(result => {
// the aggregate pipeline is returning an array
// but we are sure it will be an array of only one element as we are searching for only one user, so we can use result[0]
result = result || []; // double check the result array
result[0] = result[0] || {}; // double check the user object
var posts = result[0].friendsPosts; // here is the friends posts array
// return the posts array
res.json(posts);
})
hope it helps
Update
If we need to sort the firendsPosts, and then limit them
we can use the following
db.users.aggregate([
{
$match: {
_id: "userId1"
}
},
{
$lookup: {
from: "posts",
let: {
friendsIDs: "$friends"
},
pipeline: [
{
$match: {
$expr: {
$in: [
"$owner",
"$$friendsIDs"
]
}
}
}
],
as: "friendsPosts"
}
},
{
$unwind: "$friendsPosts" // unwind the array to get a stream of documents
},
{
$sort: {
"friendsPosts.createdAt": 1 // then sort the posts by the createdAt Date in ascending order
}
},
{
$group: { // then group the posts again after sorting
_id: "$_id",
friendsPosts: {
$push: "$friendsPosts"
}
}
},
{
$project: {
friendsPosts: {
$slice: ["$friendsPosts", 2] // this is to limit the posts
}
}
}
])
you can test it here Mongo Playground 2
I have a Mongoose document (Mongoose 5.4.13, mongoDB 4.0.12):
var SkillSchema = new mongoose.Schema({
skill: { type: String },
count: { type: Number, default: 0 },
associatedUsers: [{ type : mongoose.Schema.Types.ObjectId, ref: 'User' }]
});
That I update as follows:
var query = { skill: req.body.skill };
var update = { $addToSet: { associatedUsers: req.params.id } };
var options = { upsert: true, new: true, setDefaultsOnInsert: true };
await skillSchema.findOneAndUpdate(query, update, options);
During this update, I would like to also update count to be equal to the length of associatedUsers.
Ideally I want this to happen at the same time as updating the other fields (i.e not in a subsequent update), either via a pre-hook or within findOneAndUpdate.
I've tried using a pre hook after schema definition:
SkillSchema.pre('findOneAndUpdate', async function(){
console.log("counting associated users");
this.count = this.associatedUsers.length;
next();
});
As well as using aggregate in my UPDATE route:
await skillSchema.aggregate([{ $project: { count: { $size: "$associatedUsers" } } } ])
But I can't get either to work.
Does anyone have any suggestions for how I could achieve this?
You could use $set like this in 4.2 which supports aggregation pipeline in update.
The first $set stage calculates a associatedUsers based on the previous and new value. $setUnion to keep the distinct associatedUsers values.
The second $set stage calculates tally based on the associatedUsers calculated in the previous stage.$size to calculate the length of associatedUsers values.
var query = {skill: req.body.skill};
var update = [{ $set: { "associatedUsers":{"$setUnion":[{"$ifNull":["$associatedUsers",[]]}, [req.params.id]] }}}, {$set:{tally:{ $size: "$associatedUsers" }}}];
var options = { upsert: true, new: true, setDefaultsOnInsert: true };
await skillSchema.findOneAndUpdate(query, update, options)
If any argument resolves to a value of null or refers to a field that is missing, $setUnion returns null. So just needed to safeguard our operation with $ifNull
About tally and associatedUsers.length
// define your schema object
var schemaObj = {
skill: { type: String },
associatedUsers: { type: Array }
};
// get the length of users
var lengthOfAsUsers = schemaObj.associatedUsers.length;
// add tally to schema object and set default to the length of users
schemaObj.tally = { type: Number, default: lengthOfAsUsers };
// and pass your schema object to mongoose.Schema
var SkillSchema = new mongoose.Schema(schemaObj);
module.exports = SkillSchema;
EDIT
you can update tally subsequently, but recommended solution would be to use this method
https://mongoosejs.com/docs/populate.html
const id = "nameSomeId";
SkillSchema.find({ _id: id }).then(resp => {
const tallyToUpdate = resp.associatedUsers.length;
SkillSchema.findOneAndUpdate({ _id: id }, { tally: tallyToUpdate }).then(
resp => {
console.log(resp);
}
);
});
The solution I have will only work on mongodb v 4.2 as it has option to use aggregate in the update and will only need one query as:
skillSchemafindOneAndUpdate(
{skill:"art"},
[
{ $set: {
associatedUsers:{
$cond:{
if: {$gte: [{$indexOfArray: ["$associatedUsers", mongoose.Types.ObjectId(req.params.id)]}, 0]},
then: "$associatedUsers",
else: { $cond:{
if: { $isArray: "$associatedUsers" },
then: {$concatArrays:["$associatedUsers",[mongoose.Types.ObjectId(req.params.id)]]},
else: [mongoose.Types.ObjectId(req.params.id)]
}}
}
}}},
{$set:{
associatedUsers:"$associatedUsers",
tally:{$size:"$associatedUsers"},
}}
],
{upsert:true,new:true}
)
ref: https://docs.mongodb.com/manual/reference/method/db.collection.update/#update-with-aggregation-pipeline
The "Group" field does not appear in the schema. On MongoDB Shell, these codes will work.
However, Mongoose will also give an error because the schema is validated.
Is the "Group" field a dynamic field? I think the problem with the schema will be solved.
var mongoose = require("mongoose");
var SkillSchema = new mongoose.Schema({
skill: { type: String },
tally: { type: Number, default: 0 },
associatedUsers: { type: Array },
group: { type: Array }
});