Database transactions are used in Laravel to ensure the atomicity of multiple operations to maintain data consistency. When multiple database operations are required to succeed or fail at the same time (such as inter-account transfers, inventory management, and update interdependent models), transactions should be used; Laravel provides concise transaction support through DB facades and Eloquent, and automatically rolls back when exceptions are thrown; if you use try-catch in a transaction, exceptions need to be re-throwed to trigger rollback; it is not recommended to use transactions for all write operations, and note that non-transactional engines such as MyISAM do not support this function.
When you're working with databases in Laravel, handling transactions properly is key to maintaining data integrity. Especially when multiple operations need to succeed or fail together — like transferring money between accounts — using transactions correctly can prevent partial updates and inconsistencies.

What Are Database Transactions in Laravel?
In simple terms, a database transaction groups multiple queries into one logical unit. Either all of them succeed, or none do. Laravel makes this easy with its DB
facade and Eloquent ORM support for transactions.

For example, if you're updating two related records and the second one fails, Laravel rolls back the first change automatically. That way, your data stays consistent without you having to manually undo things.
Laravel uses PDO under the hood and provides a clean syntax for wrapping logic inside a transaction block.

Here's a basic structure:
DB::transaction(function () { DB::table('users')->where('id', 1)->decrement('balance', 50); DB::table('users')->where('id', 2)->increment('balance', 50); });
When Should You Use Transactions?
You don't always need transactions. But they become essential when dealing with operations that must be atomic — meaning all or nothing behavior is required.
Common scenarios include:
- Financial transfers
- Inventory management (deducting stock and creating an order at the same time)
- Updating multiple related models that depend on each other
If you're just reading data or making a single write, transactions might be unnecessary and could even add overhead.
Also, keep in mind that not all database engines support transactions. MyISAM in MySQL, for instance, doesn't. So make sure your tables are using InnoDB or another engine that supports ACID properties.
How to Handle Exceptions Inside Transactions
By default, Laravel will automatically roll back the transaction if an exception is thrown inside the closure. That's great, but sometimes you want more control — especially when catching exceptions yourself.
If you use a try-catch
block inside your transaction, Laravel won't auto-roll back unless you rethrow the exception or throw a new one.
Here's how to handle it right:
DB::transaction(function () { try { // some DB operations } catch (\Exception $e) { // log error or handle it throw $e; // important! so Laravel knows to rollback } });
Another thing: if you're doing more than just database work inside a transaction — like calling external APIs — be careful. If the API call fails, rolling back the DB changes helps, but you can't undo what already happened outside Laravel.
Using Nested Transactions (and When Not To)
Laravel allows nesting transactions, which can be useful in complex applications. However, nested transactions share the same underlying connection, so throwing an exception in a nested block will still roll back everything.
To safely nest transactions:
- Use savepoints (supported by some databases like MySQL and PostgreSQL)
- Be aware that Laravel doesn't natively support savepoints, so manual handling may be needed
If you find yourself needing deep nesting or conditional rollbacks within parts of a transaction, consider breaking down the logic into smaller services or jobs that handle separate pieces independently.
Effectively managing database transactions in Laravel comes down to knowing when to use them, handling errors properly, and avoiding overuse. Transactions help maintain consistency, but misuse can lead to performance issues or deadlocks. Keep it simple, test failure cases, and remember that not every write needs a transaction — just the ones where failure would leave your data in a bad state.
Basically that's it.
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