TRUNCATE vs. DELETE: Removing Rows in SQL

Query that uses TRUNCATE in MySQL and DELETE in SQL Server

Write a SQL query to clear all rows from a table, using TRUNCATE in MySQL and DELETE in SQL Server.

Solution:

-- MySQL
TRUNCATE TABLE Employees;

-- SQL Server
DELETE FROM Employees;

Explanation:

• Purpose of the Query :
• The goal is to demonstrate how clearing rows differs between MySQL and SQL Server.
• Key Components :
• TRUNCATE (MySQL): Removes all rows quickly without logging individual deletions.
• DELETE (SQL Server): Removes rows but logs each deletion, allowing rollback.
• Why Compare Row Clearing Methods?:
• Understanding these differences ensures efficient data management across platforms.
• It helps developers choose the right method based on requirements.
• Real-World Application :
• In testing environments, clearing tables resets data for new test runs.

Additional Notes:

• Use TRUNCATE for faster operations if rollback is not required.
• Use DELETE when fine-grained control or rollback capability is needed.
• Important Considerations:
• Ensure foreign key constraints are handled appropriately.

For more Practice: Solve these Related Problems:

• Write a SQL query to clear all rows from the products table, using TRUNCATE in MySQL and DELETE in SQL Server.
• Write a SQL query to clear all rows from the orders table, using TRUNCATE in MySQL and DELETE in SQL Server.
• Write a SQL query to clear all rows from the customers table, using TRUNCATE in MySQL and DELETE in SQL Server.
• Write a SQL query to clear all rows from the employees table, using TRUNCATE in MySQL and DELETE in SQL Server.

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