MongoDB Operations
Perform MongoDB CRUD operations, aggregation pipelines, and index management with the official Node.js driver.
Overview
MongoDB excels at handling semi-structured and document-oriented data, with flexible schemas that can evolve without migrations. The aggregation framework provides powerful data transformation capabilities with stages like $match, $group, $lookup (joins), $unwind, and $project. Atlas Search integration enables full-text search with fuzzy matching, autocomplete, and faceted search directly within aggregation pipelines.
For TypeScript applications, the driver provides strong type inference for document schemas. Mongoose remains popular as an ODM layer, adding schema validation, middleware hooks, and virtual properties on top of the native driver. The driver supports MongoDB Atlas serverless instances, dedicated clusters, and self-hosted deployments with the same API.
Who Is This For?
- Build CRUD APIs with MongoDB document operations
- Create aggregation pipelines for analytics and reporting
- Implement real-time data sync with change streams
- Set up compound indexes for complex query optimization
Installation
npm install mongodb Configuration
import { MongoClient } from "mongodb"
const client = new MongoClient(process.env.MONGODB_URI!)
const db = client.db("myapp")
const users = db.collection("users")
// Insert
await users.insertOne({ name: "John", email: "john@example.com" })
// Aggregation
const results = await users.aggregate([
{ $match: { status: "active" } },
{ $group: { _id: "$role", count: { $sum: 1 } } },
]).toArray() Explore AI Tools
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