LIMIT Clause in SQL Explained with Coding 🔥 | LIMIT, OFFSET | SQL Tutorial for beginners
In this video, I explain the LIMIT clause in SQL in a simple and practical way with live coding examples.
00:00 – Introduction to LIMIT Clause
00:45 – LIMIT Without ORDER BY ⚠️
01:34 – LIMIT with ORDER BY
02:59 – LIMIT with OFFSET
The LIMIT clause is used to restrict the number of rows returned by a query. It is most commonly used with the SELECT statement and often combined with ORDER BY to get Top N results.
If you want to learn how to fetch only required records, build pagination, or get top-performing entries, this video is a must-watch.
🔹 What is LIMIT in SQL?
The LIMIT clause controls how many rows are returned in the result set.
👉 It is mostly used for:
✔ Restricting output
✔ Getting Top N records
✔ Pagination
✔ Improving performance
✔ Controlling large datasets
🔹 Topics Covered in This Video
✅ Basic LIMIT syntax (MySQL / PostgreSQL)
✅ LIMIT without ORDER BY
✅ Why “first rows” are not guaranteed without sorting
✅ LIMIT with ORDER BY (Very Important)
✅ Getting Top N records
✅ LIMIT with OFFSET (Pagination concept)
✅ Execution order explanation (Sorting → Limiting)
🔹 Concepts Explained with Coding
1️⃣ Basic Syntax
How LIMIT restricts number of rows returned.
2️⃣ LIMIT Without ORDER BY
Returns the first N rows —
⚠ But “first” depends on internal storage order (not guaranteed).
Important for interviews!
3️⃣ LIMIT with ORDER BY (Very Important)
First:
✔ Data is sorted
Then:
✔ Top N rows are returned
This is how you get:
🏆 Top 3 students
📈 Highest sales
🎯 Best performers
Execution Flow:
Sorting → Limiting
4️⃣ LIMIT with OFFSET
Used when building:
✔ Website pagination
✔ Page numbers (Page 1, Page 2, Page 3)
✔ API data responses
Meaning:
Skip some rows → Return next set of rows
Perfect for real-world applications and backend development.
🎯 Who Should Watch?
✔ SQL Beginners
✔ DBMS Students
✔ BCA / MCA / BTech Students
✔ Interview Preparation Students
✔ Backend Developer Aspirants
✔ Anyone learning Database & SQL
This concept is very important for:
• SQL Interviews
• College Exams
• Real-world Applications
• Web Development
• Data Analysis
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