i'm trying to design mongoose shema for users cleaner and customer, they have some common fields e.g. name, but also have extra (different fields) client(rating) and customer number. I'm not sure that my design is good.
I've created separate userSchema for customer and cleaner, and created separate address schema.
// User Schema
const UserSchema = new mongoose.Schema({
name: {
type: String,
required: true
}
});
// AddressSchema
const AddressSchema = new mongoose.Schema({
city: {
type: String,
required: true
},
street: {
type: String,
required: true
}
});
// CustomerSchema
const CustomerSchema= new mongoose.Schema({
name: UserSchema,
address: AddressSchema
});
// CleanerSchema
const CleanerSchema= new mongoose.Schema({
name: UserSchema,
rating: {
type: Number,
required: true
}
});
My schema doesn't work. Could you give best practice example for my schema?
This is how I would define your Customer and Cleaner schemas. I don't think it's necessary to create the separate name and address schemas.
const CustomerSchema = new mongoose.Schema({
name: {
type: String,
required: true
},
address: {
city: {
type: String,
required: true
},
street: {
type: String,
required: true
}
}
});
const CleanerSchema = new mongoose.Schema({
name: {
type: String,
required: true
},
rating: {
type: Number,
required: true
}
});
Related
I am trying to post something to mongodb, my models file looks like this and i have input all of the required fields in insomnia but for some reason it's still not working.
const mongoose = require('mongoose');
const Schema = mongoose.Schema;
const contactSchema = new Schema({
name: { type: String, required: true },
email: { type: String, required: true },
phoneNumber: { type: Number, required: true },
message: { type: String, required: true },
date: { type: Date, required: false },
});
const Contact = mongoose.model('Contact', contactSchema);
module.exports = Contact;
I have a project with the following document flow.
Users -> Accounts -> Projects
Users
Users have specific roles
Accounts
CRUD conditioned by User role
Specific users will have access to individual accounts. I was thinking to add an array userGroup with user id's?
Projects
Nested under Accounts related to a single accountToken ID
CRUD conditioned by User role
Specific users will have access to individual projects.
Here are example Schema models simplified for demo purposes.
UserSchema.js:
const UserSchema = new mongoose.Schema({
email: {
type: String,
required: [true, 'Please add an email'],
unique: true,
},
role: {
type: String,
enum: ['admin', 'user'],
default: 'user'
}
});
module.exports = mongoose.model('User', UserSchema);
AccountSchema.js:
const AccountSchema = new mongoose.Schema({
accountName: {
type: String,
},
accountToken: {
type: String
}
});
module.exports = mongoose.model('Account', AccountSchema);
ProjectSchema.js:
const ProjectSchema = new mongoose.Schema({
projectName: {
type: String,
},
projectType: String,
projectToken: String
})
module.exports = mongoose.model('Project', ProjectSchema);
I am stuck on the best way to setup nested or sub-document Schema Relations and the best way to relate the data between each other. Any guidance and suggestions would be a huge help! Thanks!!!
Try this;
const UserSchema = new mongoose.Schema({
email: {
type: String,
required: [true, 'Please add an email'],
unique: true,
},
role: {
type: String,
enum: ['admin', 'user'],
default: 'user'
}
});
module.exports = mongoose.model('User', UserSchema);
const AccountSchema = new mongoose.Schema({
userId: {
type: mongoose.Schema.Types.ObjectId,
required: true,
ref: 'User'
},
accountName: {
type: String,
},
accountToken: {
type: String
}
});
module.exports = mongoose.model('Account', AccountSchema);
const ProjectSchema = new mongoose.Schema({
accountTokenId:{
type: String
},
projectName: {
type: String,
},
projectType: String,
projectToken: String
})
module.exports = mongoose.model('Project', ProjectSchema);
Problem:
I want to achieve an inner join in mongoose for a model which has dynamic ref and direct ref to another model(s). Pls refer to the sample schema and models below.
const schema1 = mongoose.schema({
on: {
type: Schema.Types.ObjectId,
required: true,
refPath: 'onModel'
},
onModel: {
type: String,
required: true,
enum: ['Model2', 'Model3']
},
company: {
type: Schema.Types.ObjectId,
ref: 'Company'
}
});
const Model1 = mongoose.model('Model1', schema1);
const schema2 = mongoose.schema({
name: {
type: String,
maxlength: 100
},
email: {
type: String,
maxlength: 100
}
});
const Model2 = mongoose.model('Model2', schema2);
const schema3 = mongoose.schema({
name: {
type: String,
maxlength: 100
},
email: {
type: String,
maxlength: 100
}
});
const Model3 = mongoose.model('Model3', schema3);
const companySchema = mongoose.schema({
companyName: {
type: String,
maxlength: 100
}
});
const company = mongoose.model('Company', companySchema);
const res = await models.Model1
.find()
.populate({
path: 'on',
match: {
'name': keyword
}
})
.populate({
path: 'company',
match: {
'companyName': keyword
}
});
The above find returns documents even if on and company returns null value (as mongoose populate implements left join by default).
Expected Result: I want to fetch documents from model1 only if it matches the keyword with name field in model2 or model3 or with company name field in company model.
How to achieve this? Your help is much appreciated.
1.Let's update the schema for "Model 1" like below:-
const schema1=mongoose.schema( {
ref: {
kind: String, // <-- This will store the Model Name (Model2 or Model3) when you execute the insert query.
item: {
type: mongoose.Schema.Types.ObjectId, // <-- This will store the Reference ID of another table (Model2 OR Model3)
refPath: 'ref.kind', fields: String,
}
,
}
, company: {
type: Schema.Types.ObjectId, ref: 'Company'
}
});
Keep the schema for Model2 , Model3 & Company as it is. No need to make any change here.
When you want to find :-
await models.Model1.find().populate({ path: 'ref.item' });
That's it. This should work.
I have the following schema in mongoose that I would like to have as a nested array in another schema:
var NestedSchema = new Schema({
name: { type: String, required: true }
});
Some other schema that needs and array of the nested schema.
var EventSchema = new Schema({
name: { type: String, required: true, unique: true },
fields: [NestedSchema]
});
Which works just fine. However now I want to run some validation against that array.
var validators = // some validators
var EventSchema = new Schema({
name: { type: String, required: true, unique: true },
fields: [{ type: 'NestedSchema', required: true, validate: validators }]
});
Of course type: 'NestedSchema' does not work, it was a shoot in the dark. Does mongoose allow you to have an array of object based on schema
Using:
MongoDB shell version: 3.2.12,
Mongoose : 4.4.7
I managed to have an array based on schema that way:
var NestedSchema = new Schema({
name: { type: String, required: true }
});
var EventSchema = new Schema({
name: { type: String, required: true, unique: true },
fields: [{ type: [NestedSchema], required: true }]
});
Did not try validation, but I believe it will work as required works well. :)
I have two schemas:
Clinic:
var mongoose = require('mongoose'),
Schema = mongoose.Schema;
var ProcedureSchema = mongoose.Schema({
name: {
type: String,
trim: true,
required: true
},
alias: {
type: String,
trim: true,
required: true
}
});
var ClinicSchema = mongoose.Schema({
name: {
type: String,
trim: true,
required: true
},
procedures: [ProcedureSchema]
});
module.exports = mongoose.model('Clinic', ClinicSchema);
and Record:
var mongoose = require('mongoose'),
Patient = require('./patient'),
User = require('./user'),
Clinic = require('./clinic'),
Schema = mongoose.Schema;
var RecordSchema = Schema({
doctor: {
type: Schema.Types.ObjectId,
ref: 'User'
},
clinic: {
type: Schema.Types.ObjectId
},
date: {
type: Date
},
patient: {
type: Schema.Types.ObjectId,
ref: 'Patient'
},
procedure: {
type: [Schema.Types.ObjectId],
ref: 'Clinic'
}
});
module.exports = mongoose.model('Record', RecordSchema);
In record schema i store all ids of procedure, which sub-scheme for Clinic
I want to get full object of procedures in record.
I try this query:
Record.find({}).
populate('procedures.procedure').
populate('doctor').
populate('patient').
exec(function(err, records) {
...
});
But get only array of ids, instead array of objects.
Where is problem?
You totally mix all schemes:
populate('procedures.procedure')
But you have not procedures in RecordSchema. Even if it is type mistake, an you mean procedure.procedures - you don't have procedures in ProcedureSchema.
read more about references in MongoDB especially http://docs.mongodb.org/manual/applications/data-models-tree-structures/
Try to make nesting path less than 2. Something like this:
var User,
Procedure,
Clinic,
Patient,
Record;
function defineModels(mongoose, fn) {
var Schema = mongoose.Schema,
ObjectId = Schema.ObjectId;
User = new Schema({
...
});
Procedure = new Schema({
name: { type: String, trim: true, required: true },
alias: { type: String, trim: true, required: true }
});
Clinic = new Schema({
name: { type: String, trim: true, required: true },
procedures: [ProcedureSchema]
});
Patient = new Schema({
...
});
Record = new Schema({
'date': {type: Date, default: Date.now},
'doctor': {type: ObjectId, ref: 'User'},
'clinic': {type: ObjectId, ref: 'Clinic'},
'patient': {type: ObjectId, ref: 'Patient'},
'procedure': {type: ObjectId, ref: 'Procedure'},
});
mongoose.model('User', User);
mongoose.model('Procedure', Procedure);
mongoose.model('Clinic', Clinic);
mongoose.model('Patient', Patient);
mongoose.model('Record', Record);
fn();
}
exports.defineModels = defineModels;
Hope this help.