Guía de mejores prácticas para diseñar, consultar y optimizar bases de datos MongoDB.

Install

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Activation

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Work with MongoDB databases using best practices. Use when designing schemas, writing queries, building aggregation pipelines, or optimizing performance. Triggers on MongoDB, Mongoose, NoSQL, aggregation pipeline, document database, MongoDB Atlas.
247 chars✓ has a “when” trigger
Intermediate

Key capabilities

  • Connect to MongoDB using the native driver or Mongoose
  • Define Mongoose schemas with validation and indexes
  • Perform CRUD operations on MongoDB collections
  • Design schemas with embedded documents or references
  • Build aggregation pipelines for complex queries

How it works

It provides patterns for connecting to MongoDB, defining data schemas with Mongoose, and performing various query and data manipulation operations. It also covers indexing and performance tips.

Inputs & outputs

You give it
Data models and query specifications
You get back
MongoDB database operations and results

When to use mongodb

  • Diseñar un nuevo esquema de base de datos
  • Escribir un pipeline de agregación complejo
  • Optimizar consultas de lectura
  • Gestionar conexiones a MongoDB Atlas

About this skill

MongoDB & Mongoose

Build and query MongoDB databases with best practices.

Quick Start

npm install mongodb mongoose

Native Driver

import { MongoClient, ObjectId } from 'mongodb';

const client = new MongoClient(process.env.MONGODB_URI!);
const db = client.db('myapp');
const users = db.collection('users');

// Connect
await client.connect();

// CRUD Operations
await users.insertOne({ name: 'Alice', email: '[email protected]' });
const user = await users.findOne({ email: '[email protected]' });
await users.updateOne({ _id: user._id }, { $set: { name: 'Alice Smith' } });
await users.deleteOne({ _id: user._id });

Mongoose Setup

import mongoose from 'mongoose';

await mongoose.connect(process.env.MONGODB_URI!, {
  maxPoolSize: 10,
  serverSelectionTimeoutMS: 5000,
  socketTimeoutMS: 45000,
});

// Connection events
mongoose.connection.on('connected', () => console.log('MongoDB connected'));
mongoose.connection.on('error', (err) => console.error('MongoDB error:', err));
mongoose.connection.on('disconnected', () => console.log('MongoDB disconnected'));

// Graceful shutdown
process.on('SIGINT', async () => {
  await mongoose.connection.close();
  process.exit(0);
});

Schema Design

Basic Schema

import mongoose, { Schema, Document, Model } from 'mongoose';

interface IUser extends Document {
  email: string;
  name: string;
  password: string;
  role: 'user' | 'admin';
  profile: {
    avatar?: string;
    bio?: string;
  };
  createdAt: Date;
  updatedAt: Date;
}

const userSchema = new Schema<IUser>({
  email: {
    type: String,
    required: [true, 'Email is required'],
    unique: true,
    lowercase: true,
    trim: true,
    match: [/^\S+@\S+\.\S+$/, 'Invalid email format'],
  },
  name: {
    type: String,
    required: true,
    trim: true,
    minlength: 2,
    maxlength: 100,
  },
  password: {
    type: String,
    required: true,
    select: false,  // Never return password by default
  },
  role: {
    type: String,
    enum: ['user', 'admin'],
    default: 'user',
  },
  profile: {
    avatar: String,
    bio: { type: String, maxlength: 500 },
  },
}, {
  timestamps: true,  // Adds createdAt, updatedAt
  toJSON: {
    transform(doc, ret) {
      delete ret.password;
      delete ret.__v;
      return ret;
    },
  },
});

// Indexes
userSchema.index({ email: 1 });
userSchema.index({ createdAt: -1 });
userSchema.index({ name: 'text', 'profile.bio': 'text' });  // Text search

const User: Model<IUser> = mongoose.model('User', userSchema);

Embedded Documents vs References

// ✅ Embed when: Data is read together, doesn't grow unbounded
const orderSchema = new Schema({
  customer: {
    name: String,
    email: String,
    address: {
      street: String,
      city: String,
      country: String,
    },
  },
  items: [{
    product: String,
    quantity: Number,
    price: Number,
  }],
  total: Number,
});

// ✅ Reference when: Data is large, shared, or changes independently
const postSchema = new Schema({
  title: String,
  content: String,
  author: {
    type: Schema.Types.ObjectId,
    ref: 'User',
    required: true,
  },
  comments: [{
    type: Schema.Types.ObjectId,
    ref: 'Comment',
  }],
});

// Populate references
const post = await Post.findById(id)
  .populate('author', 'name email')  // Select specific fields
  .populate({
    path: 'comments',
    populate: { path: 'author', select: 'name' },  // Nested populate
  });

Virtuals

const userSchema = new Schema({
  firstName: String,
  lastName: String,
});

// Virtual field (not stored in DB)
userSchema.virtual('fullName').get(function() {
  return `${this.firstName} ${this.lastName}`;
});

// Virtual populate (for reverse references)
userSchema.virtual('posts', {
  ref: 'Post',
  localField: '_id',
  foreignField: 'author',
});

// Enable virtuals in JSON
userSchema.set('toJSON', { virtuals: true });
userSchema.set('toObject', { virtuals: true });

Query Operations

Find Operations

// Find with filters
const users = await User.find({
  role: 'user',
  createdAt: { $gte: new Date('2024-01-01') },
});

// Query builder
const results = await User.find()
  .where('role').equals('user')
  .where('createdAt').gte(new Date('2024-01-01'))
  .select('name email')
  .sort({ createdAt: -1 })
  .limit(10)
  .skip(20)
  .lean();  // Return plain objects (faster)

// Find one
const user = await User.findOne({ email: '[email protected]' });
const userById = await User.findById(id);

// Exists check
const exists = await User.exists({ email: '[email protected]' });

// Count
const count = await User.countDocuments({ role: 'admin' });

Query Operators

// Comparison
await User.find({ age: { $eq: 25 } });      // Equal
await User.find({ age: { $ne: 25 } });      // Not equal
await User.find({ age: { $gt: 25 } });      // Greater than
await User.find({ age: { $gte: 25 } });     // Greater or equal
await User.find({ age: { $lt: 25 } });      // Less than
await User.find({ age: { $lte: 25 } });     // Less or equal
await User.find({ age: { $in: [20, 25, 30] } });   // In array
await User.find({ age: { $nin: [20, 25] } });      // Not in array

// Logical
await User.find({
  $and: [{ age: { $gte: 18 } }, { role: 'user' }],
});
await User.find({
  $or: [{ role: 'admin' }, { isVerified: true }],
});
await User.find({ age: { $not: { $lt: 18 } } });

// Element
await User.find({ avatar: { $exists: true } });
await User.find({ score: { $type: 'number' } });

// Array
await User.find({ tags: 'nodejs' });  // Array contains value
await User.find({ tags: { $all: ['nodejs', 'mongodb'] } });  // Contains all
await User.find({ tags: { $size: 3 } });  // Array length
await User.find({ 'items.0.price': { $gt: 100 } });  // Array index

// Text search
await User.find({ $text: { $search: 'mongodb developer' } });

// Regex
await User.find({ name: { $regex: /^john/i } });

Update Operations

// Update one
await User.updateOne(
  { _id: userId },
  { $set: { name: 'New Name' } }
);

// Update many
await User.updateMany(
  { role: 'user' },
  { $set: { isVerified: true } }
);

// Find and update (returns document)
const updated = await User.findByIdAndUpdate(
  userId,
  { $set: { name: 'New Name' } },
  { new: true, runValidators: true }  // Return updated doc, run validators
);

// Update operators
await User.updateOne({ _id: userId }, {
  $set: { name: 'New Name' },          // Set field
  $unset: { tempField: '' },           // Remove field
  $inc: { loginCount: 1 },             // Increment
  $mul: { score: 1.5 },                // Multiply
  $min: { lowScore: 50 },              // Set if less than
  $max: { highScore: 100 },            // Set if greater than
  $push: { tags: 'new-tag' },          // Add to array
  $pull: { tags: 'old-tag' },          // Remove from array
  $addToSet: { tags: 'unique-tag' },   // Add if not exists
});

// Upsert (insert if not exists)
await User.updateOne(
  { email: '[email protected]' },
  { $set: { name: 'New User' } },
  { upsert: true }
);

Aggregation Pipeline

Basic Aggregation

const results = await Order.aggregate([
  // Stage 1: Match
  { $match: { status: 'completed' } },
  
  // Stage 2: Group
  { $group: {
    _id: '$customerId',
    totalOrders: { $sum: 1 },
    totalSpent: { $sum: '$total' },
    avgOrder: { $avg: '$total' },
  }},
  
  // Stage 3: Sort
  { $sort: { totalSpent: -1 } },
  
  // Stage 4: Limit
  { $limit: 10 },
]);

Pipeline Stages

const pipeline = [
  // $match - Filter documents
  { $match: { createdAt: { $gte: new Date('2024-01-01') } } },
  
  // $project - Shape output
  { $project: {
    name: 1,
    email: 1,
    yearJoined: { $year: '$createdAt' },
    fullName: { $concat: ['$firstName', ' ', '$lastName'] },
  }},
  
  // $lookup - Join collections
  { $lookup: {
    from: 'orders',
    localField: '_id',
    foreignField: 'userId',
    as: 'orders',
  }},
  
  // $unwind - Flatten arrays
  { $unwind: { path: '$orders', preserveNullAndEmptyArrays: true } },
  
  // $group - Aggregate
  { $group: {
    _id: '$_id',
    name: { $first: '$name' },
    orderCount: { $sum: 1 },
    orders: { $push: '$orders' },
  }},
  
  // $addFields - Add computed fields
  { $addFields: {
    hasOrders: { $gt: ['$orderCount', 0] },
  }},
  
  // $facet - Multiple pipelines
  { $facet: {
    topCustomers: [{ $sort: { orderCount: -1 } }, { $limit: 5 }],
    stats: [{ $group: { _id: null, avgOrders: { $avg: '$orderCount' } } }],
  }},
];

Analytics Examples

// Sales by month
const salesByMonth = await Order.aggregate([
  { $match: { status: 'completed' } },
  { $group: {
    _id: {
      year: { $year: '$createdAt' },
      month: { $month: '$createdAt' },
    },
    totalSales: { $sum: '$total' },
    orderCount: { $sum: 1 },
  }},
  { $sort: { '_id.year': -1, '_id.month': -1 } },
]);

// Top products
const topProducts = await Order.aggregate([
  { $unwind: '$items' },
  { $group: {
    _id: '$items.productId',
    totalQuantity: { $sum: '$items.quantity' },
    totalRevenue: { $sum: { $multiply: ['$items.price', '$items.quantity'] } },
  }},
  { $lookup: {
    from: 'products',
    localField: '_id',
    foreignField: '_id',
    as: 'product',
  }},
  { $unwind: '$product' },
  { $project: {
    name: '$product.name',
    totalQuantity: 1,
    totalRevenue: 1,
  }},
  { $sort: { totalRevenue: -1 } },
  { $limit: 10 },
]);

Middleware (Hooks)

// Pre-save middleware
userSchema.pre('save', async function(next) {
  if (this.isModified('password')) {
    this.password = await bcrypt.hash(this.password, 12);
  }
  next();
});

// Post-save middleware
userSchema.post('save', function(doc) {
  console.log('User saved:', doc._id);
});

// Pre-find middleware
userSchema.pre(/^find/, function(next) {
  // Exclude deleted users by default
  this.find({ i

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*Content truncated.*

When not to use it

  • When working with relational databases that require strict schema enforcement and joins
  • When the data model is highly normalized and does not benefit from document-oriented storage

Prerequisites

mongodb packagemongoose package

Limitations

  • It focuses on MongoDB and Mongoose.
  • It assumes a document-oriented database model.
  • It provides patterns for Node.js/TypeScript environments.

How it compares

This skill offers specific best practices for MongoDB schema design, query optimization, and Mongoose integration, contrasting with generic database interaction methods.

Compared to similar skills

mongodb side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
mongodb (this skill)04moReviewIntermediate
typegoose-modeling01moNo flagsIntermediate
supabase-developer957moReviewIntermediate
payload732moReviewIntermediate

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