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Read More →This page lists Uncodemy's Advanced SQL Queries PDFs, each as its own file. Advanced SQL means writing readable multi-step queries with CTEs and subqueries, combining result sets, reshaping data with CASE, and making queries fast by reading execution plans and using indexes sensibly.
WITH dept_avg AS (
SELECT dept_id, AVG(salary) AS avg_salary
FROM employees
GROUP BY dept_id
)
SELECT e.name, e.salary
FROM employees e
JOIN dept_avg d ON e.dept_id = d.dept_id
WHERE e.salary > d.avg_salary;
Essential techniques every data analyst and SQL backend developer needs for high-volume data processing:
| Topic | What it solves |
|---|---|
| CTEs (WITH) | Break a complex query into named, readable steps |
| Subqueries and EXISTS | Filter or compare using another query's result |
| Set operations | UNION, UNION ALL, INTERSECT, EXCEPT to combine result sets |
| Conditional aggregation | Pivot rows into columns with SUM(CASE WHEN ...) |
| Recursive CTEs | Walk hierarchies such as managers, category trees and nested teams |
| Optimisation | Execution plans, indexes, sargable filters |
Toggle between production-tested query templates. Click the Copy Code button to paste directly into your SQL client:
-- Example: employees earning above their department average (tested)
-- A CTE computes each department's average, then a join compares each employee against it:
WITH dept_avg AS (
SELECT dept_id, AVG(salary) AS avg_salary
FROM employees
GROUP BY dept_id
)
SELECT e.name, e.salary
FROM employees e
JOIN dept_avg d ON e.dept_id = d.dept_id
WHERE e.salary > d.avg_salary;
NOT EXISTS or handle NULL values properly.