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Meteor Queue

screenshot of Meteor Queue

Job Queue for Meteor.js

Github

Overview

The meteor-queueJob is a robust solution for managing and scheduling tasks within a Meteor.js environment, leveraging the power of MongoDB and setInterval for efficient task execution. This queue system allows developers to not only manage queued tasks but also adjust their execution priorities, handle failures gracefully, and log critical operations for future reference. Whether you're handling minor background tasks or larger job queues, meteor-queueJob provides the necessary tools to keep your Meteor applications running smoothly and reliably.

With features that support task prioritization, scheduling, and event logging, this package is a versatile addition to any Meteor-based project. Its seamless integration with MongoDB ensures that all queue data persists, allowing for easy monitoring and modification. Moreover, the optional GUI via Houston:admin provides a convenient interface for developers to interact with the queue without diving into code.

Features

  • Queued Task Execution: Executes tasks based on the defined priority levels, allowing for efficient management of job handling.

  • Dynamic Scheduling: Start, stop, or change setInterval events on-the-fly, providing flexibility to adjust task execution as needed.

  • Future Event Scheduling: Enables developers to schedule events to be executed at future timestamps, optimizing resource management.

  • Comprehensive Logging: Optional verbose logging aids in tracking critical events and operations within the queue, enhancing transparency.

  • Locking Mechanism: Queue-wide and entry-level locking ensures that tasks are not processed simultaneously, preventing conflicts.

  • Error Recovery: Ability to requeue failed jobs at a configurable interval, enabling better handling of peak loads or high-stress scenarios.

  • Operational Blessing State: Supports a "non-ready" default state to require approval before certain tasks can be processed.

  • Mongo Collection Storage: Queues and logs are stored in Mongo collections, ensuring data persistence and easy access.