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Table of Contents
Why are there failed tasks?
How to set up automatic retry?
How to record and handle failed tasks?
FAQs and Suggestions
Home PHP Framework Laravel Handling failed jobs and retries in Laravel Queues

Handling failed jobs and retries in Laravel Queues

Jul 07, 2025 am 01:34 AM

Failed tasks and retry mechanisms are crucial in Laravel queue systems; 1. Tasks may fail due to exceptions, timeouts, or driver errors; 2. You can set the maximum number of retry times through the command line or task class properties; 3. Use the retryUntil() method to define the retry time window; 4. Implement the failed() method to record logs or send notifications; 5. Run the migration and enable parameters to record failed tasks to the database; 6. Common problems include repeated tasks, unlogged failed tasks, and manual retry methods; 7. It is recommended to use Redis or database drivers, integrated monitoring, and use Supervisor to manage processes.

Handling failed jobs and retries in Laravel Queues

In the Laravel queue system, handling failed tasks and retry mechanisms are an important part of ensuring the stable operation of background tasks. Many people tend to ignore this when they first use queues, and they don’t realize that there is no proper way to deal with it until the task error occurs.

Handling failed jobs and retries in Laravel Queues

Why are there failed tasks?

Tasks in the Laravel queue may fail for a variety of reasons, such as database connection interruption, timeout, code exceptions, and unavailability of dependent services. Common phenomena include:

Handling failed jobs and retries in Laravel Queues
  • Uncaught exceptions are thrown during task execution
  • Maximum number of attempts exceeded (it will be tried once by default)
  • Queue driver configuration error causes tasks to be consumed

If these situations are not processed, the task will be discarded or stuck, affecting the business process.


How to set up automatic retry?

Laravel provides simple configuration items to control the retry behavior of tasks. You can specify the maximum number of retry times when starting the queue worker:

Handling failed jobs and retries in Laravel Queues
 php artisan queue:work --tries=3

Alternatively, define public $tries = 3; attribute in the task class, so that each task will decide how many times to try based on this attribute.

If you want to differentiate retry according to different error types, you can use the retryUntil() method to return a point in time, indicating that you can try again before this time:

 public function retryUntil()
{
    return now()->addMinutes(10);
}

How to record and handle failed tasks?

When the task finally fails, Laravel will trigger the failed() method (if it is implemented in the task class), and you can do some cleaning work here, such as logging logs, sending notifications, etc.:

 public function failed(\Throwable $exception)
{
    // Send a failed notification to the administrator\Log::error("Task failed:" . $exception->getMessage());
}

In addition, Laravel also supports the storage of failed tasks into the database for easier subsequent analysis. You need to run the migration command first to create the failed task table:

 php artisan queue:failed-table
php artisan migrate

Then add the --log-failed parameter when executing the queue to enable the logging function.


FAQs and Suggestions

  • Tasks are executed repeatedly? : Check whether the appropriate tries and timeout time are set. Some tasks may be delivered repeatedly because they are executed for too long.
  • Failed tasks are not recorded? : Confirm whether the failed task table is enabled, and the queue driver supports this function (such as database, redis).
  • Manually retry failed task? : You can use the Artisan command queue:retry all or the specified ID to re-delive the failed task.

Some extra tips:

  • Try to use Redis or databases as queue drivers in production environments, which support richer features.
  • For important tasks, it is recommended to implement the failed() method and integrate it into the monitoring system.
  • Use Supervisor or similar tools to manage queue processes to avoid stopping tasks due to script exit.

Basically that's it. Queue failure handling doesn't seem complicated, but it's easy to be ignored in early development, and it will be much more troublesome to remedy it when something really happens.

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