Understanding Integrity Constraints in Databases
📖 Scenario: You are designing a simple database for a small library. To keep the data accurate and reliable, you need to apply rules called integrity constraints.These rules help ensure that the data entered into the database follows certain conditions, like no duplicate book IDs or valid publication years.
🎯 Goal: Build a basic understanding of integrity constraints by creating a table with specific rules that keep the library data correct and consistent.
📋 What You'll Learn
Create a table named
Books with columns BookID, Title, Author, and YearPublishedAdd a primary key constraint on
BookID to prevent duplicate entriesAdd a check constraint on
YearPublished to allow only years from 1500 to the current yearAdd a not null constraint on
Title and Author to ensure these fields are always filled💡 Why This Matters
🌍 Real World
Libraries, schools, and businesses use integrity constraints to keep their data trustworthy and consistent.
💼 Career
Database administrators and developers use integrity constraints to design robust databases that prevent errors and maintain data quality.
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