To make MongoDB database manipulation easy, we can use the Mongoose NPM package to make working with MongoDB databases easier.
In this article, we’ll look at how to use Mongoose to manipulate our MongoDB database.
limit vs. perDocumentLimit
Populate has a limit
option, but it doesn’t support limit on a per-document basis.
For example, we can write:
async function run() {
const { createConnection, Types, Schema } = require('mongoose');
const connection = createConnection('mongodb://localhost:27017/test');
const personSchema = Schema({
_id: Schema.Types.ObjectId,
name: String,
age: Number,
stories: [{ type: Schema.Types.ObjectId, ref: 'Story' }]
});
const storySchema = Schema({
author: { type: Schema.Types.ObjectId, ref: 'Person' },
title: String,
fans: [{ type: Schema.Types.ObjectId, ref: 'Person' }]
});
const Story = connection.model('Story', storySchema);
const Person = connection.model('Person', personSchema);
const author = new Person({
_id: new Types.ObjectId(),
name: 'James Smith',
age: 50
});
await author.save();
const fan = new Person({
_id: new Types.ObjectId(),
name: 'Fan Smith',
age: 50
});
await fan.save();
const story1 = new Story({
title: 'Mongoose Story',
author: author._id,
fans: [fan._id]
});
await story1.save();
const story = await Story.findOne({ title: 'Mongoose Story' })
.populate({
path: 'fans',
options: { limit: 2 }
})
.exec();
console.log(story.fans)
}
run();
to query up to numDocuments * limit
.
Mongoose 5.9.0 or later supports the perDocumentLimit
property to add a per-document limit.
For example, we can write:
async function run() {
const { createConnection, Types, Schema } = require('mongoose');
const connection = createConnection('mongodb://localhost:27017/test');
const personSchema = Schema({
_id: Schema.Types.ObjectId,
name: String,
age: Number,
stories: [{ type: Schema.Types.ObjectId, ref: 'Story' }]
});
const storySchema = Schema({
author: { type: Schema.Types.ObjectId, ref: 'Person' },
title: String,
fans: [{ type: Schema.Types.ObjectId, ref: 'Person' }]
});
const Story = connection.model('Story', storySchema);
const Person = connection.model('Person', personSchema);
const author = new Person({
_id: new Types.ObjectId(),
name: 'James Smith',
age: 50
});
await author.save();
const fan = new Person({
_id: new Types.ObjectId(),
name: 'Fan Smith',
age: 50
});
await fan.save();
const story1 = new Story({
title: 'Mongoose Story',
author: author._id,
fans: [fan._id]
});
await story1.save();
const story = await Story.findOne({ title: 'Mongoose Story' })
.populate({
path: 'fans',
perDocumentLimit: 2
})
.exec();
console.log(story.fans)
}
run();
Refs to Children
If we call push
to items to children, then we can get the refs to the child items.
For example, we can write:
async function run() {
const { createConnection, Types, Schema } = require('mongoose');
const connection = createConnection('mongodb://localhost:27017/test');
const personSchema = Schema({
_id: Schema.Types.ObjectId,
name: String,
age: Number,
stories: [{ type: Schema.Types.ObjectId, ref: 'Story' }]
});
const storySchema = Schema({
author: { type: Schema.Types.ObjectId, ref: 'Person' },
title: String,
fans: [{ type: Schema.Types.ObjectId, ref: 'Person' }]
});
const Story = connection.model('Story', storySchema);
const Person = connection.model('Person', personSchema);
const author = new Person({
_id: new Types.ObjectId(),
name: 'James Smith',
age: 50
});
await author.save();
const fan = new Person({
_id: new Types.ObjectId(),
name: 'Fan Smith',
age: 50
});
await fan.save();
const story1 = new Story({
title: 'Mongoose Story',
author: author._id,
});
story1.fans.push(fan);
await story1.save();
const story = await Story.findOne({ title: 'Mongoose Story' })
.populate('fans')
.exec();
console.log(story.fans)
}
run();
We call push
on story.fans
to add an entry to the fans
array field.
Now when we query the story, we get the fans
array with the fan
in it.
Conclusion
We can limit how many documents are returned and add entries to array fields so that we can access the refs to child entries.