Bird
Raised Fist0
MySQLquery~30 mins

Why DML operations modify data in MySQL - See It in Action

Choose your learning style10 modes available
Understanding Why DML Operations Modify Data
📖 Scenario: You are managing a small library database. You need to understand how to change the data about books using SQL commands.
🎯 Goal: Learn how to use Data Manipulation Language (DML) commands to modify data in a database table.
📋 What You'll Learn
Create a table called books with columns id, title, and author
Insert initial data into the books table
Update the author of a specific book
Delete a book record from the table
💡 Why This Matters
🌍 Real World
Managing and updating records in databases is common in libraries, stores, and many businesses.
💼 Career
Database administrators and developers use DML commands daily to keep data accurate and up to date.
Progress0 / 4 steps
1
Create the books table
Write a SQL statement to create a table called books with three columns: id as an integer primary key, title as a text field, and author as a text field.
MySQL
Hint

Use CREATE TABLE books and define the columns with their types and primary key.

2
Insert initial data into books
Write SQL INSERT statements to add these three books into the books table: (1, 'The Hobbit', 'J.R.R. Tolkien'), (2, '1984', 'George Orwell'), and (3, 'Pride and Prejudice', 'Jane Austen').
MySQL
Hint

Use one INSERT INTO books statement with multiple rows.

3
Update the author of a book
Write a SQL UPDATE statement to change the author of the book with id = 2 to 'Eric Arthur Blair'.
MySQL
Hint

Use UPDATE books SET author = 'Eric Arthur Blair' WHERE id = 2; to change the author.

4
Delete a book record
Write a SQL DELETE statement to remove the book with id = 3 from the books table.
MySQL
Hint

Use DELETE FROM books WHERE id = 3; to remove the record.

Practice

(1/5)
1. Which of the following DML commands is used to add new rows to a table in MySQL?
easy
A. UPDATE
B. SELECT
C. DELETE
D. INSERT

Solution

  1. Step 1: Understand the purpose of DML commands

    DML commands modify data in tables by adding, changing, or removing rows.
  2. Step 2: Identify the command for adding data

    INSERT adds new rows, UPDATE changes existing rows, DELETE removes rows, and SELECT only reads data.
  3. Final Answer:

    INSERT -> Option D
  4. Quick Check:

    Add new rows = INSERT [OK]
Hint: INSERT adds rows, UPDATE changes, DELETE removes [OK]
Common Mistakes:
  • Confusing UPDATE with INSERT
  • Thinking SELECT modifies data
  • Using DELETE to add data
2. Which of the following is the correct syntax to update a user's email in a table named users?
easy
A. SELECT email = 'new@example.com' FROM users WHERE id = 5;
B. INSERT INTO users SET email = 'new@example.com' WHERE id = 5;
C. UPDATE users SET email = 'new@example.com' WHERE id = 5;
D. DELETE FROM users SET email = 'new@example.com' WHERE id = 5;

Solution

  1. Step 1: Recognize the correct DML command for changing data

    To change existing data, UPDATE is used with SET to assign new values.
  2. Step 2: Check syntax correctness

    UPDATE users SET email = 'new@example.com' WHERE id = 5; correctly updates the email for user with id 5.
  3. Final Answer:

    UPDATE users SET email = 'new@example.com' WHERE id = 5; -> Option C
  4. Quick Check:

    Update data uses UPDATE + SET + WHERE [OK]
Hint: UPDATE uses SET and WHERE to change data [OK]
Common Mistakes:
  • Using INSERT instead of UPDATE to modify data
  • Omitting WHERE clause causing all rows to update
  • Using DELETE or SELECT incorrectly
3. Given the table products with columns id, name, and price, what will be the result of this query?
UPDATE products SET price = price * 1.1 WHERE id = 3;
medium
A. The price of the product with id 3 will increase by 10%.
B. All product prices will increase by 10%.
C. The product with id 3 will be deleted.
D. Syntax error due to missing WHERE clause.

Solution

  1. Step 1: Understand the UPDATE statement with WHERE clause

    The query updates only rows where id = 3, so only that product is affected.
  2. Step 2: Analyze the price update expression

    The price is multiplied by 1.1, increasing it by 10% for the product with id 3.
  3. Final Answer:

    The price of the product with id 3 will increase by 10%. -> Option A
  4. Quick Check:

    UPDATE with WHERE affects specific rows [OK]
Hint: WHERE limits UPDATE to specific rows [OK]
Common Mistakes:
  • Assuming all rows update without WHERE
  • Confusing UPDATE with DELETE
  • Thinking syntax error occurs without WHERE
4. Identify the error in this DELETE statement:
DELETE users WHERE id = 10;
medium
A. Missing FROM keyword after DELETE.
B. WHERE clause cannot be used with DELETE.
C. DELETE cannot remove rows based on conditions.
D. Table name should be in quotes.

Solution

  1. Step 1: Recall correct DELETE syntax

    The correct syntax is DELETE FROM table_name WHERE condition;. The FROM keyword is required.
  2. Step 2: Identify the missing keyword

    The statement misses FROM after DELETE, causing a syntax error.
  3. Final Answer:

    Missing FROM keyword after DELETE. -> Option A
  4. Quick Check:

    DELETE requires FROM before table name [OK]
Hint: DELETE syntax: DELETE FROM table WHERE condition [OK]
Common Mistakes:
  • Omitting FROM keyword
  • Using DELETE without WHERE to remove specific rows
  • Quoting table names unnecessarily
5. You want to increase the salary by 5% for all employees in the employees table who work in the 'Sales' department. Which query correctly performs this update?
hard
A. DELETE FROM employees WHERE department = 'Sales';
B. UPDATE employees SET salary = salary * 1.05 WHERE department = 'Sales';
C. INSERT INTO employees SET salary = salary * 1.05 WHERE department = 'Sales';
D. UPDATE employees WHERE department = 'Sales' SET salary = salary * 1.05;

Solution

  1. Step 1: Choose the correct DML command for modifying existing data

    To change salaries, UPDATE is used, not INSERT or DELETE.
  2. Step 2: Verify correct syntax order

    The correct syntax is UPDATE table SET column = value WHERE condition;. UPDATE employees SET salary = salary * 1.05 WHERE department = 'Sales'; follows this order correctly.
  3. Final Answer:

    UPDATE employees SET salary = salary * 1.05 WHERE department = 'Sales'; -> Option B
  4. Quick Check:

    UPDATE + SET + WHERE with correct order [OK]
Hint: UPDATE SET comes before WHERE clause [OK]
Common Mistakes:
  • Using INSERT to modify data
  • Placing WHERE before SET in UPDATE
  • Deleting rows instead of updating
Recommended

Ready to prove it?

Pass the test and this pattern moves unknown strong while earning +1 Grip toward your certificate.

10 questions~5 mineasy hard