SQL Examples
SQL Conditional Aggregation
SQL Conditional Aggregation
Conditional aggregation with CASE in aggregates handles custom sums.
Introduction to Conditional Aggregation
In SQL, conditional aggregation allows you to apply conditions within aggregate functions like SUM, COUNT, or AVG. This technique is useful when you need to compute aggregates based on specific criteria or conditions. The CASE statement is commonly used to achieve this functionality.
Using CASE with Aggregate Functions
The CASE statement can be embedded within aggregate functions to conditionally include rows in the aggregation. This provides flexibility in generating summary data tailored to specific needs.
Example: Conditional Count
Suppose you want to count the number of orders based on their status. You can use the CASE statement inside the COUNT function to achieve this.
Example: Conditional Average
Calculating the average based on a condition can help in analyzing specific subsets of your data. Here is how you can calculate the average order value for completed orders.
Benefits of Conditional Aggregation
- Flexibility: Tailor your data analysis to specific conditions and scenarios.
- Efficiency: Reduce the need for multiple queries by handling conditions within a single query.
- Clarity: Improve readability and maintainability by consolidating logic within aggregate functions.
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