- A curated Advanced SQL Learning Path for solving complex LeetCode SQL problems, including Window Functions, CTEs, Aggregations, Joins, and Advanced Query Optimization. This repository contains solutions to LeetCode SQL problems, along with explanations and execution plans.
This learning path covers essential and advanced SQL concepts required to master SQL for data analytics, engineering, and real-world applications.
✅ SELECT Queries
✅ WHERE, GROUP BY, HAVING
✅ ORDER BY, LIMIT, DISTINCT
✅ Basic Joins (INNER, LEFT, RIGHT, FULL)
✅ Aggregate Functions (SUM, COUNT, AVG, MIN, MAX)
✅ Complex Joins & Self Joins
✅ UNION, INTERSECT, EXCEPT
✅ Subqueries & Correlated Subqueries
✅ Window Functions (ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD)
✅ Common Table Expressions (CTEs)
✅ Recursive Queries
✅ Pivoting & Dynamic SQL
✅ Performance Optimization & Indexing
✅ JSON & Array Handling in SQL
- Easy/ → Simple queries covering basic SQL.
- Medium/ → Queries involving joins, aggregations, and subqueries.
- Hard/ → Complex queries involving window functions, CTEs, and optimizations.
- ✅ MySQL
- ✅ PostgreSQL
- ✅ SQLite
- ✅ Microsoft SQL Server
💡 If you have any questions, suggestions, or feedback, reach out via:
📧 Email: shaikabdulkader.s00@gmail.com
🐦 Twitter: @shaik_kader_FA
👨💻 GitHub: @shaikabdlkadr
Happy SQL Coding! 🚀🔥
This README file will help you document your learning journey, solve SQL problems, and publish your solutions on GitHub. 🎯