SQL & Databases Masterclass Course
Welcome to the ultimate postgresql tutorial for beginners 2026. Work through interactive sql practice problems with solutions, master our comprehensive sql window functions tutorial modules, and prepare for tough sql interview questions at Google and Amazon entirely in your browser. Claim your course completion XP and build production-ready database mastery today!
SQL Window Functions: ROW_NUMBER, LAG, LEAD, NTILE
Introduction & Core Concept
Window Functions represent one of the most transformative analytical advancements in SQL architecture. They compute calculations across a specific set of table rows relationally linked to the current row.
Unlike GROUP BY aggregate functions that collapse your rows into a single summary line, window functions preserve your individual row details entirely!
SELECT name, salary, AVG(salary) OVER(PARTITION BY department_id) FROM employees;Core Window Functions
ROW_NUMBER(): Assigns a unique, sequential integer index to rows within specific partitions.LAG(column, offset): Accesses data from preceding rows (perfect for calculating month-over-month revenue growth).LEAD(column, offset): Accesses data from subsequent rows.NTILE(buckets): Divides ordered rows into ranked quartile or percentile groups.Why & Where We Use It
Real-World Example
StaffCorp management wants to audit compensation by assigning sequential rank indices and quartile bands across employees partitioned by department.
Best Practices: What to Do & What NOT to Do
ORDER BY clauses inside your OVER() window definitions when computing ranking functions like ROW_NUMBER() or LAG().WHERE clause. Window functions are evaluated *after* WHERE filtering occurs!Syntax & Pro Tips
SELECT name, ROW_NUMBER() OVER(PARTITION BY department_id ORDER BY salary DESC) AS rank FROM employees;