DISTINCT in SQL Explained with Coding🔥| Remove Duplicates, COUNT(DISTINCT) & Examples | SQL Tutorial
In this video, I explain the DISTINCT keyword in SQL in a clear and practical way with coding examples using a Students table.
00:00 – Introduction to DISTINCT
00:49 – DISTINCT on Single Column and Multiple Columns
02:48 – DISTINCT with ORDER BY
04:00 – DISTINCT with WHERE
05:21 – COUNT(DISTINCT) Explained
The DISTINCT keyword is used to remove duplicate values from the result set. It is always used with the SELECT statement and is very important for exams, interviews, and real-world database queries.
If you want to understand how to get unique values, count unique records, and compare DISTINCT with GROUP BY, this video will make everything crystal clear.
🔹 What is DISTINCT in SQL?
The DISTINCT keyword removes duplicate rows from the result.
👉 It returns only unique values.
It is commonly used when:
✔ Finding unique departments
✔ Getting unique cities
✔ Counting unique records
✔ Cleaning duplicate data from result sets
🔹 Topics Covered in This Video
✅ Basic DISTINCT syntax
✅ DISTINCT on single column
✅ DISTINCT on multiple columns
✅ Important rule of DISTINCT
✅ DISTINCT with ORDER BY
✅ DISTINCT with WHERE
✅ DISTINCT vs GROUP BY (difference explained clearly)
✅ COUNT(DISTINCT column) – very important interview question
🔹 Concepts Explained with Coding
1️⃣ DISTINCT on Single Column
Returns only unique values from one column.
Even if a value appears multiple times, it will be shown only once.
2️⃣ DISTINCT on Multiple Columns
SQL checks uniqueness based on the combination of selected columns.
Important Rule:
DISTINCT works on the entire selected column combination — not individually.
3️⃣ DISTINCT with ORDER BY
Execution Flow:
1️⃣ Remove duplicates
2️⃣ Sort the result
4️⃣ DISTINCT with WHERE
Execution Flow:
1️⃣ Filter rows (WHERE)
2️⃣ Remove duplicates (DISTINCT)
Understanding execution order is very important for interviews.
5️⃣ COUNT(DISTINCT column)
Used to count unique values.
Very common SQL interview question.
🎯 Who Should Watch?
✔ SQL Beginners
✔ DBMS Students
✔ BCA / MCA / BTech Students
✔ Interview Preparation Students
✔ Backend Developer Aspirants
✔ Anyone learning Database & SQL
This topic is extremely important for:
• SQL Interviews
• College Exams
• Data Analysis
• Real-world Database Queries
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