Document Store
•Horizontal Scaling
•High Availability
Documents & Collections
Understanding MongoDB's document-oriented data model with flexible JSON-like documents stored in collections.
BSON FormatSchema DesignEmbedded DocumentsReferences_id Field
CRUD Operations
Master Create, Read, Update, and Delete operations using MongoDB's powerful query language.
insertOne/Manyfind()updateOne/ManydeleteOne/ManyBulk Operations
Querying & Filters
Building complex queries with comparison operators, logical operators, and array operations.
$eq, $gt, $lt$and, $or$in, $nin$regexProjections
Aggregation Framework
Processing data records and returning computed results using aggregation pipelines.
$match$group$sort$project$lookup$unwind
Indexing & Performance
Optimizing query performance with proper indexing strategies and query analysis.
Single Field IndexCompound IndexText Indexexplain()Index Strategies
Mongoose ODM
Using Mongoose for elegant MongoDB object modeling with schemas, validation, and middleware.
SchemasModelsValidationVirtualsHooksPopulation
Mongoose Example
const mongoose = require('mongoose');
// Define Schema
const userSchema = new mongoose.Schema({
name: { type: String, required: true },
email: { type: String, unique: true },
age: Number,
createdAt: { type: Date, default: Date.now }
});
// Create Model
const User = mongoose.model('User', userSchema);
// CRUD Operations
const createUser = async () => {
const user = await User.create({ name: 'John', email: 'john@example.com' });
console.log('Created:', user);
};
const findUsers = async () => {
const users = await User.find({ age: { $gte: 18 } }).sort({ name: 1 });
console.log('Users:', users);
};