Diagnosing Frequent Primary Elections in MongoDB Replica Sets
Step‑by‑step guide to identify why a MongoDB replica set is frequently electing a new primary and how to stabilize it.
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Databases & messaging · #mongodb
MongoDB Change Streams: Trading Polling Overhead for Real-Time Events
MongoDB Change Streams let you react to data changes in real time without polling, but they require a replica set and careful oplog management.
Mongoose lean(): A Performance Decision for Read-Only Query Paths
Mongoose hydrates every query result into a Document by default. Append `.lean()` to return plain JavaScript objects for serialization-only endpoints, and learn where that shortcut breaks.
mongoose
nodejsManaging State Sync with Meteor's Distributed Data Protocol (DDP)
Learn how Meteor's Distributed Data Protocol (DDP) and MiniMongo enable real-time synchronization and latency compensation to eliminate API boilerplate.
Automating Password Hashing with Mongoose Pre‑Save Hooks
Learn how to hash passwords automatically before they are saved, avoid re‑hashing on updates, and understand where the hook does not run.
Glitch File System Decision Guide: When to Use Local Storage vs External Databases
Glitch projects use an ephemeral file system where application‑written files may be lost during sleeps or restarts. This guide compares local storage against external databases, shows when to use each option, and provides a concrete MongoDB integration example with validation steps.
glitchAutomatically Manage createdAt and updatedAt Timestamps in Mongoose Schemas
Add automatic createdAt and updatedAt fields to Mongoose schemas using default values and pre‑save middleware, with steps to verify and recover.
MongoDB Change Streams: When to Build Your Event Pipeline on the Database
Change Streams turn MongoDB's oplog into an ordered, resumable event feed. Here's what they buy you over polling or dual writes, a working filtered consumer example, and where they fall short.
Using Mongoose Virtuals to Keep Derived Data Out of MongoDB
Learn how to define virtual getters and setters in Mongoose so computed values like full names appear in API responses without extra storage or index overhead.