berlioz / queue-manager
Queue manager
Requires
- php: ^8.2
- berlioz/helpers: ^1.0
- psr/clock: ^1.0
- psr/container: ^1.0 || ^2.0
- psr/log: ^1.0 || ^2.0 || ^3.0
Requires (Dev)
- ext-amqp: *
- ext-redis: *
- aws/aws-sdk-php: ^3.316
- hectororm/query: ^1.0
- phpstan/phpstan: ^1.10
- phpunit/phpunit: ^11.0
Suggests
- ext-amqp: To use AMQP queue
- ext-pcntl: Tu use signals to exit worker
- ext-redis: To use Redis queue
- aws/aws-sdk-php: To use AWS SQS service
- hectororm/query: To use database queue
This package is auto-updated.
Last update: 2025-06-05 15:11:41 UTC
README
Berlioz Queue Manager is responsible for processing jobs from a queue using a job handler. It supports advanced features like memory and time limits, signal handling, and customizable worker options.
For more information, and use of Berlioz Framework, go to website and online documentation : https://getberlioz.com
Installation
Composer
You can install Berlioz Queue Manager with Composer, it's the recommended installation.
$ composer require berlioz/queue-manager
Dependencies
- PHP ^8.2
- Packages:
- berlioz/helpers
- psr/clock
- psr/container
- psr/log
Usage
Jobs
JobDescriptorInterface
- Definition: Represents jobs that are ready to be pushed into a queue.
- Example: Defining the structure and payload of a task before queueing it.
- Note: A generic
JobDescriptor
class is available for creating new messages quickly. However, you can extend or override this class to provide additional control, such as custom payload validation or specific job behaviors.
JobInterface
- Definition: Manages jobs that have been consumed from a queue.
- Example: Handling retries, deleting jobs after processing, or releasing jobs back into the queue.
JobForQueue
- Definition: Ensures specific jobs are routed to designated queues.
- Example: Assigning priority tasks to a high-priority queue.
Jobs handlers
The JobHandlerManager
is a central component for managing multiple job handlers in the Berlioz Queue Manager. It implements the JobHandlerInterface
and acts as a dispatcher, delegating job processing to the appropriate handler based on the job's name.
use Berlioz\QueueManager\Job\JobHandlerManager; $manager = new JobHandlerManager($container, $defaultHandler); $manager->addHandler('email', EmailJobHandler::class); $manager->addHandler('report', ReportJobHandler::class); $job = new Job('email'); // Example job with name 'email' $manager->handle($job); // Delegates to EmailJobHandler
The JobHandlerInterface
defines the contract for handling jobs in the Berlioz Queue Manager. Implementing this interface allows you to define how specific jobs should be processed.
Below is an example implementation of a JobHandlerInterface
for consuming and processing a job named "foo"
:
use Berlioz\QueueManager\Handler\JobHandlerInterface; use Berlioz\QueueManager\Job\JobInterface; use Berlioz\QueueManager\Exception\QueueManagerException; class FooJobHandler implements JobHandlerInterface { public function handle(JobInterface $job): void { if ($job->getName() !== 'foo') { throw new QueueManagerException('Invalid job name'); } // Process the job $payload = $job->getPayload(); echo "Processing job 'foo' with payload: " . json_encode($payload); } }
TIP: JobHandlerManager
accept a wildcard "*" at the end of job name.
Worker
The Worker
class is the main part of the Berlioz Queue Manager and is responsible for processing jobs from a queue
using a job handler.
use Berlioz\QueueManager\Queue\MemoryQueue; use Berlioz\QueueManager\Worker; use Berlioz\QueueManager\WorkerOptions; use Berlioz\QueueManager\Handler\JobHandlerManager; use Psr\Log\NullLogger; // Create a Job Handler Manager $jobHandler = new JobHandlerManager($container); // Initialize the Worker $worker = new Worker($jobHandler); // Optionally, set a logger $worker->setLogger(new NullLogger()); // Configure worker options $options = new WorkerOptions( name: 'worker', // Worker name limit: 10, // Max jobs to execute memoryLimit: 128, // Memory limit in MB timeLimit: 60, // Time limit in seconds killFilePath: 10, // File to kill process sleep: 2, // Sleep time between jobs in seconds stopNoJob: true, // Stop if no job backoffTime: 0, // Time to wait before retry failed job ); // Create a queue instance $queue = new MemoryQueue(); // Run the worker $exitCode = $worker->run($queue, $options);
Queues
DbQueue
The DbQueue
is a durable implementation of a queue that uses a database to store jobs persistently. This ensures that jobs remain available even in the event of application or server restarts. By leveraging a database, the DbQueue
provides reliability and durability, making it suitable for production environments where job data must not be lost.
Key Characteristics:
- Durable Storage: Jobs are stored in a relational or NoSQL database, ensuring persistence and fault tolerance.
- Transactional Guarantees: Can leverage database transactions to ensure that job insertion, processing, and deletion are atomic operations.
- Scalability: With proper indexing and optimization, the
DbQueue
can handle large volumes of jobs efficiently. - Use Cases:
- Applications that require guaranteed delivery and processing of jobs.
- Scenarios where jobs must survive server or application crashes.
- Environments where job metadata (e.g., retries, priorities) must be tracked over time.
While DbQueue
offers durability and reliability, its performance may be impacted by database latency compared to in-memory queues. It is best suited for scenarios where persistence and fault tolerance are prioritized over low-latency operations.
use Berlioz\QueueManager\Queue\DbQueue; use Hector\Connection\Connection; $dbConnection = new Connection('mysql://localhost:3306'); $queue = new DbQueue( connection: $dbConnection, // Database connection name: 'default', // Queue name tableName: 'queue_jobs', // Name of MySQL table retryTime: 30, // Time to wait after failed job maxAttempts: 5, // Maximum attempts of a job );
Example of schema for MySQL:
CREATE TABLE `queue_jobs` ( `job_id` int unsigned NOT NULL AUTO_INCREMENT, `create_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP, `queue` varchar(128) NOT NULL DEFAULT 'default', `availability_time` timestamp NOT NULL, `attempts` int unsigned NOT NULL DEFAULT '0', `lock_time` timestamp NULL DEFAULT NULL, `payload` json NOT NULL, PRIMARY KEY (`job_id`), KEY `INDEX_job` (`queue`,`availability_time`,`lock_time`,`attempts`) ) ENGINE=InnoDB;
If you want to keep the jobs treated:
CREATE TABLE `queue_jobs_done` ( `job_id` int unsigned NOT NULL, `create_time` timestamp NOT NULL, `queue` varchar(128) NOT NULL, `availability_time` timestamp NOT NULL, `attempts` int unsigned NOT NULL, `lock_time` timestamp NOT NULL, `payload` json NOT NULL, PRIMARY KEY (`job_id`), KEY `INDEX_job` (`queue`,`lock_time`) ) ENGINE=InnoDB; -- Trigger to make automatic insert into `queue_jobs_done` -- the deleted done jobs into `queue_jobs`. DELIMITER $$ CREATE TRIGGER `queue_jobs_AFTER_DELETE` AFTER DELETE ON `queue_jobs` FOR EACH ROW BEGIN INSERT INTO `queue_jobs_done` (`job_id`, `create_time`, `queue`, `availability_time`, `attempts`, `lock_time`, `payload`) VALUES (OLD.`job_id`, OLD.`create_time`, OLD.`queue`, OLD.`availability_time`, OLD.`attempts`, IFNULL(OLD.`lock_time`, CURRENT_TIMESTAMP), OLD.`payload`); END;$$ DELIMITER ;
Memory queue
The MemoryQueue
is a lightweight, ephemeral implementation of a queue that stores jobs in memory for the duration of the script's execution. This queue is particularly useful for testing, development, or scenarios where persistent storage is not required. Since the jobs are stored in memory, they are lost when the script ends, making it unsuitable for production environments where job persistence is critical.
Key Characteristics:
- Ephemeral Nature: Jobs exist only during the script's runtime.
- Fast and Lightweight: No external dependencies or storage overhead.
- Use Cases:
- Unit testing or local development.
- Short-lived tasks that do not require durability.
- Simulating job execution flows without external systems.
The MemoryQueue
provides all the standard operations of a queue, such as pushing jobs, consuming jobs, and checking the size of the queue, while maintaining a simple in-memory data structure to manage these operations. However, since it lacks durability, it should be used with caution and only in scenarios where the transient nature of the data is acceptable.
use Berlioz\QueueManager\Queue\MemoryQueue; $queue = new MemoryQueue( name: 'default', // Queue name retryTime: 30, // Time to wait after failed job );
AwsSqsQueue
The AwsSqsQueue
is an implementation of a queue that integrates with Amazon Simple Queue Service (SQS), a fully managed message queuing service provided by AWS. This queue leverages the scalability, durability, and distributed nature of SQS to handle job storage and delivery in a reliable and fault-tolerant manner.
Key Characteristics:
- Fully Managed: Offloads the operational complexity of managing infrastructure, scaling, and maintenance.
- Highly Durable: Messages are redundantly stored across multiple data centers, ensuring data durability and availability.
- Scalable: Capable of handling an unlimited number of messages and automatically scaling to meet demand.
- Low Overhead: Removes the need for a dedicated queue server or database.
- Use Cases:
- Distributed systems requiring reliable asynchronous communication.
- Scenarios with high message throughput or unpredictable traffic spikes.
- Cloud-native applications leveraging other AWS services like Lambda or EC2.
With features like visibility timeouts, message delays, and dead-letter queues, AwsSqsQueue
provides robust mechanisms for handling complex workflows and ensuring job delivery. However, since it is a cloud-based service, its performance depends on network latency and AWS's regional availability.
use Aws\Sqs\SqsClient; use Berlioz\QueueManager\Queue\AwsSqsQueue; $queue = new AwsSqsQueue( sqsClient: new SqsClient(...), // Database connection name: 'default', // Queue name queueUrl: '...', // AWS queue URL retryTime: 30, // Time to wait after failed job );
RedisQueue
The RedisQueue
is a high-performance, in-memory implementation of a queue that uses Redis as its backend. By leveraging Redis’ fast data structures, RedisQueue
enables quick enqueue and dequeue operations while providing optional durability through Redis persistence mechanisms. It is well-suited for environments requiring fast throughput and low latency.
Key Characteristics:
- High Performance: Uses Redis’ in-memory storage for rapid job management.
- Optional Durability: Jobs can survive restarts if Redis persistence (AOF or RDB) is enabled.
- Scalable: Easily supports distributed workers and large numbers of concurrent jobs.
- Atomic Operations: Utilizes Redis commands to guarantee atomic push/pop of jobs.
- Use Cases:
- Real-time applications requiring low-latency job handling.
- Scalable systems with multiple distributed consumers or producers.
- Environments where Redis is already in use as a cache or data store.
The RedisQueue
is ideal when you need both performance and a degree of durability, while maintaining a simple infrastructure. However, it is important to ensure your Redis instance is properly configured for persistence if job loss on crash is unacceptable.
use Redis; use Berlioz\QueueManager\Queue\RedisQueue; $redis = new Redis(); $redis->connect('127.0.0.1', 6379); $queue = new RedisQueue( redis: $redis, // Redis connection name: 'default', // Queue name );
Tips:
- For test isolation, use a dedicated Redis database and call
$redis->flushDb()
before/after your test suite. - For production, monitor memory usage and persistence settings to prevent data loss.
AmqpQueue
The AmqpQueue is an advanced queue implementation based on the AMQP protocol, typically used with brokers like RabbitMQ. It provides high throughput, supports delayed jobs, priorities, and dead-lettering, and is suitable for distributed applications requiring reliable and scalable message processing.
Key Characteristics:
- AMQP/RabbitMQ Integration: Leverages a message broker (such as RabbitMQ) to provide asynchronous job distribution between producers and consumers.
- Delayed Jobs (without plugin): Uses per-delay queues with a Time-To-Live (TTL) and dead-letter exchange (DLX) to defer the execution of jobs without needing the
x-delayed-message
plugin. - Prioritization: Supports message priorities, allowing urgent jobs to be processed before lower-priority ones.
- Dead-Letter Queue: Automatically routes messages that are expired, rejected, or exceed the maximum number of attempts to a dedicated dead-letter queue for later inspection or reprocessing.
- Scalability: Decouples job producers and consumers, allowing horizontal scaling of workers.
- Auto-Cleanup: Delayed queues can be auto-deleted when empty to avoid polluting the broker with unused queues.
- Use Cases:
- Distributed or microservice architectures needing asynchronous background processing.
- Workflows where job retries, delays, and prioritization are important.
- Applications requiring monitoring and recovery of failed jobs.
How it works:
- Push with Delay: When a job is pushed with a delay, it is routed to a temporary queue with a TTL and DLX. Once the TTL expires, the broker moves the job into the main queue for processing.
- Retries: When a job fails, it can be retried with a delay and with a lower priority.
- Dead-Letter: If the number of attempts exceeds
maxAttempts
, the job is sent to the dead-letter queue for inspection.
use Berlioz\QueueManager\Queue\AmqpQueue; use AMQPConnection; $connection = new AMQPConnection([ 'host' => 'localhost', 'port' => 5672, 'login' => 'guest', 'password' => 'guest', 'vhost' => '/', ]); $connection->connect(); $queue = new AmqpQueue( connection: $connection, // AMQP connection name: 'default', // Queue name maxAttempts: 5, // Maximum retry attempts );