SQL Query and performance tuning - Joins
🔗 Joining Tables in SQL How Databases Combine Data Across Tables Behind the Scenes 🧩 Why Do We Join Tables? Relational databases are designed to normalize data —which means instead of putting all data in one giant table, related information is spread across multiple smaller tables . 🎯 Example Scenario: customers table → holds client information (name, contact, status level) status_levels table → holds details for each status (label, benefits, criteria) Rather than duplicate status details for every customer, we join the two tables using a shared column: status_level . 🧠 What Is a SQL Join? A join allows you to retrieve combined data from two or more tables by matching rows based on a shared value—commonly using primary keys and foreign keys . 💬 Declarative SQL: SELECT c.name, s.benefits FROM customers c JOIN status_levels s ON c.status_level = s.level; This query: Fetches customer names from customers Fetches status benefits ...