mongodb

Name: mongodb
Rating: 5 (109 reviews)
Author: einverne

Guide for implementing MongoDB - a document database platform with CRUD operations, aggregation pipelines, indexing, replication, sharding, search capabilities, and comprehensive security. Use when working with MongoDB databases, designing schemas, writing queries, optimizing performance, configuring deployments (Atlas/self-managed/Kubernetes), implementing security, or integrating with applications through 15+ official drivers. (project)

TL;DR

Guide for MongoDB operations, queries, aggregation, security, and deployment.

What Is It

Document-oriented database platform
Supports CRUD and complex queries
Offers aggregation pipelines and indexing
Provides high availability and security

Key Features

CRUD operations with advanced query operators
Aggregation pipelines for data transformation
Indexing to optimize query performance
Replication and sharding for scalability
Enterprise-grade security and authentication
Integration via 15+ official drivers
Supports time series and change streams
Atlas, self-managed, and Kubernetes deployment options

How to Use

1.Design schemas and data models
2.Write queries and aggregation pipelines
3.Configure replication, sharding, and security
4.Deploy in Atlas, self-managed, or Kubernetes

Guardrails & Gotchas

Avoid unindexed queries for performance issues
Never skip index creation on frequently queried fields
Use $setWindowFields with caution in large datasets
Ensure proper authentication and encryption in production

GitHub Stats

Author

@einverne

Repository

einverne/dotfiles

Stars

109

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