Why Concurrency Control Matters in PostgreSQL
📖 Scenario: You are managing a small online bookstore database where multiple users can buy books at the same time. To keep the stock count accurate, you need to understand how concurrency control helps prevent errors when many people update the database simultaneously.
🎯 Goal: Build a simple PostgreSQL setup that shows how to track book stock and why concurrency control is important to keep the data correct when multiple updates happen at once.
📋 What You'll Learn
Create a table called
books with columns id, title, and stockInsert initial data for three books with exact stock values
Set a variable to simulate a stock threshold
Write a query to select books with stock below the threshold
Add a transaction block that updates stock safely
💡 Why This Matters
🌍 Real World
Online stores and inventory systems must handle many users updating stock at the same time without errors.
💼 Career
Database administrators and backend developers use concurrency control to keep data accurate and consistent in multi-user environments.
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