Views vs Common Table Expressions

Developers should use views to encapsulate complex joins, aggregations, or calculations into reusable queries, improving code maintainability and reducing redundancy in applications meets developers should learn ctes when working with complex sql queries that involve multiple subqueries or recursive data structures, such as organizational charts or category trees. Here's our take.

Views

Nice Pick

Developers should use views to encapsulate complex joins, aggregations, or calculations into reusable queries, improving code maintainability and reducing redundancy in applications

Pros

• They are essential for implementing row-level or column-level security by exposing only necessary data to users or applications, and for creating simplified interfaces for reporting or analytics without modifying the underlying schema
• Related to: sql, relational-databases

Cons

• Specific tradeoffs depend on your use case

Common Table Expressions

Developers should learn CTEs when working with complex SQL queries that involve multiple subqueries or recursive data structures, such as organizational charts or category trees

Pros

• They are particularly useful for improving code clarity, debugging, and performing operations like data aggregation or filtering in stages
• Related to: sql, postgresql

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use Views if: You want they are essential for implementing row-level or column-level security by exposing only necessary data to users or applications, and for creating simplified interfaces for reporting or analytics without modifying the underlying schema and can live with specific tradeoffs depend on your use case.

Use Common Table Expressions if: You prioritize they are particularly useful for improving code clarity, debugging, and performing operations like data aggregation or filtering in stages over what Views offers.

The Bottom Line

Views wins

Developers should use views to encapsulate complex joins, aggregations, or calculations into reusable queries, improving code maintainability and reducing redundancy in applications