Learn How to Create, Update, and Use Views to Simplify Queries
Master SQL Views in this beginner-friendly guide. Learn how to create, update, and drop views, and understand their advantages. Practice creating a view of top 10 highest-paid employees and simplify queries using views for better database management.
1. Introduction
A view in SQL is a virtual table created from a query.
- Views do not store data physically but display data from one or more tables.
- Useful for simplifying complex queries, security, and data abstraction.
Key Points:
- Can be queried like a table.
- Useful for restricted access to sensitive columns.
- Automatically updates when the underlying tables change.
2. Creating Views
Syntax:
Example:
Querying a View:
3. Updating Views
- Views can be updated if they reference a single table and meet certain criteria.
Example:
Note:
- Some views cannot be updated if they use aggregates, joins, or group by.
4. Dropping Views
Syntax:
Example:
5. Advantages of Views
- Simplify complex queries – encapsulate multi-table queries.
- Data abstraction – hide sensitive columns from users.
- Security – grant access to views instead of tables.
- Reusability – reuse common query logic.
- Consistency – ensure users see a consistent dataset.
6. Practical Exercises
- Create a view for the top 10 highest-paid employees.
- Use a view to list employees in a specific department.
- Create a view that joins Employees and Departments to simplify queries.
- Update a view (if allowed) to change salaries or departments.
- Drop a view after use and ensure the underlying table data remains unchanged.
7. Tips for Beginners
- Use views to simplify frequently used queries.
- Avoid overusing views with complex joins for performance-critical queries.
- Combine views with indexing for optimized query performance.
- Use views to restrict access to sensitive columns in production databases.
Next Step: After mastering views, the next module is Stored Procedures and Functions, where you’ll learn to create reusable SQL logic, pass parameters, and improve database performance.