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Distributed high performance task scheduling framework

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openjob

A distributed task scheduling framework.

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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>1.0.6</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

Live demo

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

Contact

WeChat

  • WeAccount:

WeChat

Openjob ecosystem

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.

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  • Java 91.7%
  • PLpgSQL 7.1%
  • CSS 0.3%
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