Fetching 1,000,000 Rows in Minutes with PostgreSQL
Most people blame PostgreSQL when large queries are slow. In reality, performance at scale is about strategy.
Now follow me and learn!
1. Index the Filter Column
2.Use Cursor-Based Pagination (Not OFFSET)
3. Stream Results Instead of Loading Everything Into Memory
4. Select Only the Columns You Actually Need
5. Use Native Bulk Export (COPY) for Large Data Transfers
Just a tip on how you should fetch 1 million in minutes and less drama!
PostgreSQL isn’t slow.
Na Your design slow.
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I Created this Project to Spice up your Love Life..
Ur Pc is Eating up your Romance Life..
Make Her/Him Blush Again-https://showsomelove.netlify.app/
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BanaCam
Bananacam is a browser-based visual capture platform that enables users to record, stream, and interact with live camera content directly from the web without requiring native app installation.
I built the system with a focus on real-time media processing, low-latency streaming, and seamless user interaction. The platform leverages modern web APIs for camera access, optimized frontend rendering, and scalable backend services to ensure reliable performance across devices.
My responsibilities included:
Architecting the frontend application
Implementing real-time media handling logic
Designing scalable backend integrations
Ensuring performance optimization and cross-browser compatibility
The project demonstrates advanced handling of browser media APIs, real-time systems, and production-ready web application architecture.