Category: Postgresql

  • PostgreSQL Joins Explained: A Backend Developer’s Guide

    PostgreSQL Joins Explained: A Backend Developer’s Guide

    As a backend developer, mastering SQL joins is crucial for efficient data retrieval from relational databases. PostgreSQL, with its powerful query engine, offers several join types that can dramatically affect both performance and results. In this comprehensive guide, we’ll explore each join type with practical examples, optimization techniques, and common pitfalls to avoid. Understanding the…

  • Understanding Query Performance: A Deep Dive into EXPLAIN ANALYZE

    Understanding Query Performance: A Deep Dive into EXPLAIN ANALYZE

    When your database starts to slow down, diagnosing the exact source of performance issues can be challenging. Fortunately, PostgreSQL provides a powerful tool for this purpose: EXPLAIN ANALYZE. This command offers crucial insights into how PostgreSQL executes your queries, helping you identify bottlenecks and opportunities for optimization. What is EXPLAIN ANALYZE? The EXPLAIN ANALYZE command…

  • Mastering PostgreSQL Indexes: Speed Up Your Queries the Right Way

    Mastering PostgreSQL Indexes: Speed Up Your Queries the Right Way

    Database performance can make or break your application. When your PostgreSQL queries start crawling, indexes are often the solution you need. In this comprehensive guide, we’ll explore how to effectively implement and leverage PostgreSQL indexes to dramatically speed up your queries. Understanding PostgreSQL Indexes An index in PostgreSQL is much like an index in a…

  • Securing PostgreSQL: Best Practices for User & Database Setup

    Securing PostgreSQL: Best Practices for User & Database Setup

    PostgreSQL is one of the most popular and powerful relational database management systems (RDBMS). However, without proper security configuration, your database can become vulnerable to various security threats. This article discusses best practices for securing your PostgreSQL installation, focusing on user and database setup. 1. Authentication and User Management Avoid Using Default Users The default…

  • PostgreSQL vs. MySQL: Which One Fits Your Backend Needs?

    PostgreSQL vs. MySQL: Which One Fits Your Backend Needs?

    Choosing the right database management system is a critical decision for any development project. PostgreSQL and MySQL stand as two of the most popular open-source relational database systems, each with unique strengths and capabilities. This comprehensive comparison will help you determine which database better aligns with your specific backend requirements. Table of Contents Core Differences…

  • How to Install and Optimize PostgreSQL on Linux for Development

    How to Install and Optimize PostgreSQL on Linux for Development

    PostgreSQL is a powerful, open-source relational database management system with over 30 years of active development. It’s known for reliability, feature robustness, and performance. This guide will help you install and optimize PostgreSQL on Linux specifically for development purposes. Table of Contents Prerequisites Before installing PostgreSQL, ensure your system meets these requirements: Installation Ubuntu/Debian CentOS/RHEL/Fedora…

  • PostgreSQL 101: Why It’s the Best Choice for Backend Developers

    PostgreSQL 101: Why It’s the Best Choice for Backend Developers

    In the world of relational database management systems, PostgreSQL stands tall among its competitors. Often referred to as “Postgres,” this powerful open-source database system offers a compelling set of features that make it an exceptional choice for backend developers. This post explores why PostgreSQL has become the preferred database for many development teams and why…

  • PostgreSQL + Node.js: How We Achieved 50K Transactions per Second

    PostgreSQL + Node.js: How We Achieved 50K Transactions per Second

    Connection Pooling, Write-Ahead Log Tuning, and Avoiding N+1 Queries When we started building our real-time analytics platform, performance was a critical requirement. Our customers needed to process tens of thousands of events per second without losing data or introducing latency. After months of optimization, we finally reached our goal of 50,000 transactions per second using…