The SQL DELETE statement permanently removes rows from a table. Use DELETE FROM table WHERE condition to target specific rows or omit WHERE to remove every row. Always back up data, test with SELECT first, and wrap deletes in transactions so you can ROLLBACK if needed.
SQL DELETE permanently removes rows from a table. Use DELETE FROM table WHERE condition; to target the rows you want. Wrap deletes in transactions so you can roll back mistakes.
SQL DELETE removes selected rows from a table and frees their storage space. Unlike UPDATE, it erases the data; unlike TRUNCATE or DROP, it leaves the table definition and indexes intact.
DELETE is row-level and can be filtered with WHERE clauses, firing triggers and logging each row. TRUNCATE removes all rows faster but can’t filter. DROP removes the entire table schema. Choose DELETE when you need granular control or to retain the structure.
The minimal syntax is DELETE FROM table_name WHERE condition;. The WHERE clause is optional but critical for targeted deletes. Omitting WHERE deletes every row.
Yes. Write DELETE FROM table_name; without a WHERE clause. Be sure you intend a full wipe because the action is logged row by row and can be slow on large tables.
Combine DELETE with WHERE. Example: DELETE FROM orders WHERE status = 'canceled';. Only rows with status = 'canceled' disappear, preserving the rest.
Use a subquery or JOIN. Example: DELETE FROM orders WHERE customer_id IN (SELECT id FROM customers WHERE inactive = true);. The subquery returns the set of ids to delete.
Many engines allow DELETE t1 FROM orders t1 JOIN customers t2 ON t1.customer_id = t2.id WHERE t2.inactive = true;. This pattern deletes from the target alias while reading from others.
Always test with SELECT first: SELECT * FROM table WHERE condition;. Wrap critical deletes in BEGIN; DELETE ...; COMMIT; so you can ROLLBACK. Use LIMIT batches for large removes to avoid locks. Keep backups.
If inside a transaction, run ROLLBACK before COMMIT. Otherwise recover from backups or point-in-time recovery. Some cloud databases offer UNDROP or time-travel features—enable them early.
Typical scenarios include removing obsolete logs, soft-deleted records after retention periods, cleaning test data, or enforcing GDPR “right to be forgotten” requests.
Replace DELETE with SELECT and review the result set. In many IDEs you can highlight only the SELECT portion to run the dry run. Validate row count with SELECT COUNT(*). If correct, execute the DELETE.
SQL DELETE is powerful and irreversible outside transactions. Use WHERE to filter, test with SELECT, back up, and leverage transactions. For mass purges, consider TRUNCATE or partition pruning.
Most databases mark pages for reuse rather than releasing them to the OS. Vacuuming or shrinking may be needed for physical space recovery.
Yes. DELETE logs each row and fires triggers. TRUNCATE deallocates pages in bulk, making it faster but less flexible.
Run SELECT COUNT(*) FROM table WHERE condition; first. This returns the exact count so you know the impact.
Disabling constraints speeds up mass deletes but risks data integrity. Prefer batched deletes or TRUNCATE where supported instead.