Optimizing Aggregates and Window Functions
Learn techniques for efficiently processing complex aggregations and window functions.
Aggregates & Windows Intro
Welcome to optimizing advanced queries! Today, we'll dive into making your aggregate and window functions run faster.
These powerful SQL features let you perform calculations across groups of rows or related rows. But, without care, they can become performance bottlenecks.
Aggregates Refresher
Aggregate functions summarize data for a group of rows, returning a single value per group. Common ones include COUNT(), SUM(), AVG(), MIN(), and MAX().
They often work with the GROUP BY clause to define these groups. Let's see a simple example:
SELECT
category,
COUNT(product_id) AS total_products
FROM
products
GROUP BY
category;All lessons in this course
- Optimizing Aggregates and Window Functions
- Recursive CTEs and Graph Queries
- Using Materialized Views for Performance
- Optimizing Queries with FILTER and Conditional Aggregation