Find 3 or More Consecutive Vacant Seats Using SQL | Window Functions & Row Number

In this SQL problem-solving session, we tackle the challenge of identifying three or more consecutive vacant seats using SQL window functions. We demonstrate how to efficiently find seat patterns using ROW_NUMBER() and GROUP BY, making it a valuable exercise for SQL learners, data analysts, and engineers. By the end of this session, you will: ✅ Understand how to use ROW_NUMBER() for pattern detection ✅ Learn how to group and filter consecutive records efficiently ✅ Improve your SQL skills with real-world problem-solving Table creation & insertion script: CREATE TABLE seats ( seat_no INT PRIMARY KEY, is_vacant CHAR(1) ); INSERT INTO seats (seat_no, is_vacant) VALUES (1, 'N'), (2, 'Y'), (3, 'Y'), (4, 'Y'), (5, 'N'), (6, 'N'), (7, 'Y'), (8, 'Y'), (9, 'N'), (10, 'N'), (11, 'Y'), (12, 'Y'), (13, 'Y'), (14, 'Y'), (15, 'N'); If you're preparing for SQL interviews or working with pattern-based queries, this video will help you master an important SQL technique. 🔔 Subscribe for more SQL tutorials and data engineering content! #SQL #DataProcessing #WindowFunctions #ConsecutiveSeats #RowNumber #SQLQueries #SQLForBeginners #DataAnalysis #LearnSQL #SQLInterviewQuestions #PatternMatching #DataEngineering #GroupBy #Aggregation