When working with multiple tables, SQL views provide a way to combine and present data in a clean, reusable format. They’re like saved queries that can be used just like tables—helping you stay organized and efficient.
Why Use Views in SQL?
- Save time by reusing query logic.
- Provide limited access to sensitive fields.
- Make data querying easier for users and apps.
- Help separate logic from application code.
Create and Use SQL Views
Views use simple SQL syntax and can be queried like base tables.
Create a view:
CREATE VIEW EmployeeManagers AS
SELECT emp.employee_name, mng.employee_name
FROM Employees emp
JOIN Employees mng ON emp.manager_id = mng.employee_id;Query the view:
SELECT * FROM EmployeeManagers;Drop it when no longer needed:
DROP VIEW EmployeeManagers;Materialized Views Overview
These are like cached versions of regular views.
- Faster for repeated complex queries.
- Data doesn’t update automatically—requires a refresh.
- Useful for BI dashboards or aggregations.
- Supported in systems like PostgreSQL.
FAQ
What is a view?
A stored SQL query used as a virtual table.
How does it differ from a table?
It doesn’t hold data—it queries it live from source tables.
How do I make one?
Use CREATE VIEW with your desired query.
Can I change a view?
Not directly. Drop and recreate it with updates.
Conclusion
SQL views are a helpful way to manage query logic and simplify database access. Use regular views for structure, and materialized views when performance counts. For more insights, feel feel to explore SQL Views: A Comprehensive Guide.