DELETE with WHERE clause in MySQL

Introduction

You use DELETE with WHERE to remove only specific rows from a table, not everything.

When you want to delete a user who canceled their account.

When you need to remove outdated records from a sales table.

When cleaning up test data that matches certain conditions.

When deleting entries older than a certain date.

When removing duplicate records based on a condition.

Syntax

MySQL

DELETE FROM table_name WHERE condition;

The WHERE clause tells which rows to delete.

Without WHERE, all rows in the table will be deleted.

Examples

Deletes the employee with ID 5.

MySQL

DELETE FROM employees WHERE employee_id = 5;

Deletes orders placed before January 1, 2023.

MySQL

DELETE FROM orders WHERE order_date < '2023-01-01';

Deletes all products in the 'obsolete' category.

MySQL

DELETE FROM products WHERE category = 'obsolete';

Sample Program

This creates a customers table, adds three customers, deletes the one named 'Bob', then shows the remaining customers.

MySQL

CREATE TABLE customers (id INT, name VARCHAR(20));
INSERT INTO customers VALUES (1, 'Alice'), (2, 'Bob'), (3, 'Charlie');
DELETE FROM customers WHERE name = 'Bob';
SELECT * FROM customers ORDER BY id;

Important Notes

Always double-check your WHERE clause before running DELETE to avoid removing wrong data.

You can use multiple conditions with AND or OR in the WHERE clause.

Use SELECT with the same WHERE clause first to see which rows will be deleted.

Summary

DELETE removes rows from a table.

WHERE clause limits which rows get deleted.

Without WHERE, DELETE removes all rows.

Practice

1. What does the WHERE clause do in a DELETE statement in MySQL?

easy

A. It limits which rows get deleted based on a condition.

B. It specifies the table to delete from.

C. It adds new rows to the table.

D. It changes the structure of the table.

Solution

1. Step 1: Understand the role of DELETE

   The DELETE statement removes rows from a table.

2. Step 2: Understand the role of WHERE

   The WHERE clause filters which rows are affected by DELETE.

3. Final Answer:

   It limits which rows get deleted based on a condition. -> Option A

4. Quick Check:

   WHERE clause = filter rows to delete [OK]

Hint: WHERE filters rows to delete, else all rows removed [OK]

Common Mistakes:

• Thinking WHERE adds rows
• Confusing WHERE with table name
• Assuming DELETE changes table structure

2. Which of the following is the correct syntax to delete rows where the column age is less than 18 from a table named users?

easy

A. DELETE users WHERE age < 18;

B. DELETE FROM users WHERE age < 18;

C. DELETE * FROM users WHERE age < 18;

D. DELETE FROM users IF age < 18;

Solution

1. Step 1: Check DELETE syntax

   The correct syntax starts with DELETE FROM followed by the table name.

2. Step 2: Verify WHERE clause usage

   WHERE clause uses condition like age < 18 to filter rows.

3. Final Answer:

   DELETE FROM users WHERE age < 18; -> Option B

4. Quick Check:

   Correct DELETE syntax = DELETE FROM users WHERE age < 18; [OK]

Hint: Use DELETE FROM table WHERE condition; [OK]

Common Mistakes:

• Omitting FROM keyword
• Using DELETE * which is invalid
• Replacing WHERE with IF

3. Given the table employees with rows:
{id:1, name:'Alice', dept:'HR'},
{id:2, name:'Bob', dept:'IT'},
{id:3, name:'Carol', dept:'HR'}
What will be the remaining rows after running:
DELETE FROM employees WHERE dept = 'HR';

medium

A. [{id:2, name:'Bob', dept:'IT'}]

B. [{id:1, name:'Alice', dept:'HR'}, {id:3, name:'Carol', dept:'HR'}]

C. [] (empty table)

D. [{id:1, name:'Alice', dept:'HR'}, {id:2, name:'Bob', dept:'IT'}, {id:3, name:'Carol', dept:'HR'}]

Solution

1. Step 1: Identify rows matching WHERE condition

   Rows with dept = 'HR' are Alice and Carol (id 1 and 3).

2. Step 2: Delete matching rows and keep others

   Only Bob (id 2) with dept 'IT' remains after deletion.

3. Final Answer:

   [{id:2, name:'Bob', dept:'IT'}] -> Option A

4. Quick Check:

   Deleted HR rows, kept IT row [OK]

Hint: Delete rows matching condition; others stay [OK]

Common Mistakes:

• Deleting all rows by missing WHERE
• Keeping deleted rows by mistake
• Confusing which rows match condition

4. What is wrong with this query?
DELETE FROM orders WHERE;

medium

A. DELETE requires SELECT keyword.

B. DELETE cannot have WHERE clause.

C. Missing condition after WHERE clause.

D. Table name is missing.

Solution

1. Step 1: Check syntax after WHERE

   WHERE clause must have a condition to filter rows.

2. Step 2: Identify missing condition error

   Query ends with WHERE but no condition is given, causing syntax error.

3. Final Answer:

   Missing condition after WHERE clause. -> Option C

4. Quick Check:

   WHERE needs condition [OK]

Hint: Always add condition after WHERE [OK]

Common Mistakes:

• Leaving WHERE empty
• Thinking WHERE is optional but incomplete
• Confusing DELETE syntax with SELECT

5. You have a table products with columns id, name, and stock. You want to delete all products that have zero stock but keep products with NULL stock values. Which query correctly deletes only products with stock exactly zero?

hard

A. DELETE FROM products WHERE stock <= 0;

B. DELETE FROM products WHERE stock IS NULL;

C. DELETE FROM products WHERE stock != NULL;

D. DELETE FROM products WHERE stock = 0;

Solution

1. Step 1: Understand NULL behavior in WHERE

   Comparisons with NULL using =, !=, <= return UNKNOWN (false); use IS NULL to check NULL.

2. Step 2: Identify condition for stock exactly zero

   stock = 0 matches only zero, excludes NULL and other values.

3. Step 3: Analyze other options

   stock <= 0 deletes zero and negatives (keeps NULL); stock IS NULL deletes NULL stocks; stock != NULL never matches (comparison with NULL always UNKNOWN).

4. Final Answer:

   DELETE FROM products WHERE stock = 0; -> Option D

5. Quick Check:

   Use = 0 to delete zero stock only [OK]

Hint: Use = 0 to delete zero, IS NULL for nulls [OK]

Common Mistakes:

• Using <= 0 deletes negatives too
• Using != NULL deletes nothing
• Confusing NULL with zero