The SQL UPDATE statement modifies existing rows in a table. Use UPDATE table_name SET column = value WHERE condition; to change only the rows you target. Always back up data, test with a SELECT, and include a WHERE clause to avoid updating every row.
The SQL UPDATE statement changes data in existing rows. It keeps the row structure but overwrites specified columns with new values.
Use UPDATE table_name SET column1 = value1 [, column2 = value2] WHERE condition;
. Without a WHERE clause, every row is updated.
The WHERE clause filters rows. Omitting it causes a full-table update, which can corrupt data. Always confirm your filter with a SELECT first.
Separate each column assignment with commas in the SET list. The WHERE clause still targets the same rows for all assignments.
Yes. You can reference constants, functions, or other columns, e.g., SET price = price * 1.1, updated_at = NOW()
.
Join the target table with the source. Syntax varies by vendor. In ANSI SQL you write UPDATE t1 SET col = s.col FROM t1 JOIN source s ON t1.id = s.id;
.
Use a subquery that returns a single value per row. Example: SET balance = (SELECT SUM(amount) FROM txn WHERE txn.user_id = user.id)
.
Some databases allow UPDATE ... LIMIT n
(MySQL). Others require a subquery with primary keys plus ORDER BY.
Run the WHERE clause in a SELECT first. If results look correct, run UPDATE. Wrap long updates in a transaction and COMMIT when verified.
Use transactions for large or critical updates. A ROLLBACK restores the original state if something goes wrong.
Create audit tables, use triggers, or enable database change-tracking features. Always store old and new values for regulatory compliance.
Indexes on WHERE columns speed updates. Batch large updates, avoid updating indexed columns unnecessarily, and monitor lock contention.
PostgreSQL and Oracle let you append RETURNING *
to output the affected rows without running a separate SELECT.
Use UPSERT when you might insert new rows if they don’t exist. UPDATE only modifies existing rows.
Back up data, test with SELECT, always include WHERE, wrap large changes in transactions, and document your queries in a tool like Galaxy for team sharing.
Galaxy’s AI copilot reviews your UPDATE for missing WHERE clauses, suggests index usage, and stores endorsed versions in Collections so teams avoid accidents.
UPDATE changes data in place, WHERE protects rows, transactions enable safe rollbacks, and modern editors like Galaxy streamline collaboration and review.
Locking depends on your DBMS. Most engines use row-level locks, but full-table locks can occur when no index supports the WHERE clause.
PostgreSQL and Oracle support RETURNING to output updated rows. Other databases require a separate SELECT after the UPDATE.
If autocommit was off, issue ROLLBACK. Otherwise, restore from backups or point-in-time recovery features like PostgreSQL WAL or MySQL binlog.
Updates can be slower because they must locate existing rows and maintain indexes. Good indexing and batching keep performance acceptable.