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The primary difference between `DELETE` and `TRUNCATE` in SQL lies in their usage and performance. `DELETE` is used to remove specific rows from a table using a condition, supports rollback within a transaction, and logs each deleted row, making it slower for large datasets. It also activates triggers associated with the table. On the other hand, `TRUNCATE` is used to remove all rows from a table, retains the table structure, and operates much faster due to minimal logging. It does not support conditions or activate triggers, making it ideal for quickly clearing entire tables.
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GRADUATE APPRENTICESHIP TRAINEE

Interviewed at Cisco

4.1★
Dec 15, 2024

The primary difference between `DELETE` and `TRUNCATE` in SQL lies in their usage and performance. `DELETE` is used to remove specific rows from a table using a condition, supports rollback within a transaction, and logs each deleted row, making it slower for large datasets. It also activates triggers associated with the table. On the other hand, `TRUNCATE` is used to remove all rows from a table, retains the table structure, and operates much faster due to minimal logging. It does not support conditions or activate triggers, making it ideal for quickly clearing entire tables.

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