What is the difference between DELETE, TRUNCATE, and DROP?
Great question! DELETE, TRUNCATE, and DROP are all SQL commands used to remove data or structures from a database, but they differ significantly in scope, performance, and rollback capability. Here's a breakdown:
1. DELETE
- Use: Removes specific rows from a table using a
WHERE clause.
- Can be rolled back: Yes (if used within a transaction).
- Triggers: Yes (fires
ON DELETE triggers).
- Table structure remains: Yes.
- Auto-increment counter reset: No.
- Speed: 🔻 Slower for large datasets (logs each row deletion).
Example:
DELETE FROM employees WHERE department = 'HR';
2. TRUNCATE
- Use: Removes all rows from a table (no
WHERE clause).
- Can be rolled back: Depends on DBMS (e.g., No in MySQL without transaction).
- Triggers: No (doesn't fire
ON DELETE triggers).
- Table structure remains: Yes.
- Auto-increment counter reset: Yes (in most DBMS like MySQL, SQL Server).
- Speed: âš¡ Much faster than
DELETE (minimal logging).
Example:
TRUNCATE TABLE employees;
3. DROP
- Use: Completely removes the table and its structure.
- Can be rolled back: No (once dropped, it's gone unless restored from backup).
- Triggers: Not applicable.
- Table structure remains: No.
- Auto-increment counter reset: Yes (table is removed).
- Speed: âš¡ Very fast (removes entire object).
Example:
DROP TABLE employees;
Summary Table:
| Feature |
DELETE |
TRUNCATE |
DROP |
| Removes specific rows |
(with WHERE) |
|
|
| Removes all rows |
(without WHERE) |
|
|
| Removes table schema |
|
|
|
| Can be rolled back |
|
Depends |
|
| Triggers fired |
|
|
|
| Auto-increment reset |
|
|
|
| Speed |
Slow (row-by-row) |
Faster |
Fastest |
Let me know if you’d like a visual comparison or want to see this demonstrated in a SQL environment!