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SQL Performance Engineering

Advanced SQL Queries PDF Downloads

Quick Answer

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.

employee_department_avg.sql PostgreSQL 16
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;

Advanced topics at a glance

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

Tested Advanced SQL Query Patterns

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;

Query optimisation checklist

Common mistakes to avoid

UNION when UNION ALL is enough: UNION removes duplicates and performs an expensive sort operation.
NOT IN with NULLs: always prefer NOT EXISTS or handle NULL values properly.
Over-nesting subqueries: a clean CTE is significantly easier to read, maintain and debug.
Optimising without measuring: always benchmark the execution plan before rewriting queries.

Got Questions About Advanced SQL Queries?

A common table expression, written with WITH, gives a name to a subquery so a complex query can be written in clear, readable steps.
UNION removes duplicate rows from the combined result, while UNION ALL keeps every row and is usually faster.
A portable method is conditional aggregation: use SUM(CASE WHEN condition THEN value ELSE 0 END) for each output column and group by the row key.
Read the execution plan, add suitable indexes, keep filters sargable, select only needed columns and avoid repeating expensive subqueries.
A recursive CTE repeats a query on its own output, which is useful for hierarchies such as reporting lines or category trees.
Yes! All Advanced SQL Queries PDFs provided on this Uncodemy page are 100% free for students, working professionals, and data analysts for learning and revision.
About these PDFs: These PDFs are study material for learning and revision. They are not a certificate, a degree or a promise of a job, and technology changes, so check official documentation for the latest details. Spot an error? Write to info@uncodemy.com and the trainer team will review it.
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