A distributed task scheduling framework.

中文

Introduction

Openjob is A distributed and high-performance task scheduling framework that supports multiple cronjob, delay task, workflow, lightweight distributed computing, unlimited horizontal scaling, with high scalability and fault tolerance. Also has permission management, powerful alarm monitoring, and support multiple languages.

• High reliability
  • Distributed with stateless design, using the Master/Worker architecture, supports multiple databases (MySQL/PostgreSQL/Oracle)
• High performance
  • System uses a consistency sharding algorithm, lock-free design, task scheduling is accurate down to the second, supporting lightweight distributed computing and unlimited horizontal scaling
• Cronjob
  • Supports distributed cronjob, fixed rate tasks, high-performance second tasks, and onetime tasks
• Distributed computing
  • Supports multiple distributed programming models such as standalone, broadcast, Map, MapReduce, and sharding, easy to complete distributed computing for big data
• Delay task
  • High performance delay task based on Redis , support multi-level storage, and provides rich statistics and reports
• Workflow
  • Supports workflow scheduling engine, visual DAG design, and easy to complete complex task scheduling
• Permission management
  • User management, supports menu, button, and data permission settings, flexible management of user permissions
• Alarm monitoring
  • Overall monitoring metrics, rich and alarm in time, easy to locate and resolve online problem
• Multiple languages
  • Support multiple languages such as Java, Go, PHP, and Python, as well as build with frameworks such as Spring Boot, Gin, and Swoft

Open source

Item	Quartz	Elastic-Job	XXL-JOB	Openjob
Cronjob	Cron	Cron	Cron	* Cronjob * second * Onetime * Fixed rate
Delay task	No	No	No	Distributed, high-performance delay task based on Redis
Workflow	No	No	No	Workflow design with UI
Distributed Computing	No	Sharding	Sharding	* Broadcast * Map/MapReduce * Sharding
Multiple languages	Java	* Java * Shell	* Java * Shell	* Java * Go(Gin、beego) * PHP(Swoft) * Python(Agent) * Shell * HTTP * Kettle
Visualization	No	Weak	* Task history * Task log（Not support storage） * Dashboard	* Task history * Task log（support H2/Mysql/Elasticsearch） * Dashboard * Full permissions * Task log stack
Manageable	No	enable、disable task	* enable、disable task * execute once * stop	* enable、disable task * execute once * kill * stop
Alarms	No	email	email	* custom event * email * webhook
Performance	Every task scheduling try to acquire a lock through the database, causes a high pressure on the database	ZooKeeper is performance bottleneck	Task scheduling is only by master, causes a high pressure on master	Uses sharding algorithm, each node can be scheduled without lock, supports unlimited horizontal scaling, and supports big task scheduling

Maven dependency

<openjob.worker.version>1.0.7</openjob.worker.version>
<dependency>
    <groupId>io.openjob.worker</groupId>
    <artifactId>openjob-worker-core</artifactId>
    <version>${openjob.worker.version}</version>
</dependency>

<!--If your project base on `Spring Boot`, you can directly use the following dependencies-->
<dependency>
    <groupId>io.openjob.worker</groupId>
    <artifactId>openjob-worker-spring-boot-starter</artifactId>
    <version>${openjob.worker.version}</version>
</dependency>

Documentation

• Official website
• Official documentation

Live demo

• Find the live demo on our website.
  • username: openjob
  • password: openjob.io

Contact

• Gitter: https://gitter.im/openjob/openjob
• Discord: https://discord.gg/ZUmX57fKa5
• QQ Group: 849015265
• WeChat Assistant:

• WeAccount:

• Mail list:
  • swoft@qq.com

Openjob ecosystem

• Openjob Website - Openjob official website
• Openjob UI - UI for Openjob
• Openjob Samples - Samples for Openjob
• Openjob Docker - Openjob integration with docker

Contributors

This project exists thanks to all the people who contribute. [Contributors].

License

Openjob is under the Apache 2.0 license. See the LICENSE file for details.