[Open Source] A Distributed, High-Performance Task Scheduling Framework Supporting Multiple Task Types and Workflow Design

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2026-06-28 04:17 3 次浏览 • 0 次下载 0KB
[Open Source] A Distributed, High-Performance Task Scheduling Framework Supporting Multiple Task Types and Workflow Design
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1. Project Overview

A Distributed, High-Performance Task Scheduling Framework

Openjob is a distributed, high-performance task scheduling framework that supports various scheduled tasks, delayed tasks, workflow design, lightweight distributed computing, and unlimited horizontal scaling. It offers high scalability and fault tolerance, comprehensive permission management, powerful alerting and monitoring, and native multi-language support.

2. Open Source License

Licensed under Apache-2.0

3. Screenshots

4. Feature Overview

Features

High Reliability

Features a distributed, stateless architecture based on the Master/Worker model, supporting multiple databases (MySQL/PostgreSQL/Oracle).

High Performance

Uses a consistent sharding algorithm at its core, with a completely lock-free design. Task scheduling is accurate to the second and supports lightweight distributed computing and unlimited horizontal scaling.

Scheduled Scheduling

Supports distributed scheduled tasks, fixed-frequency tasks, high-performance second-level tasks, and one-time scheduled tasks.

Distributed Computing

Supports multiple distributed programming models, including Standalone, Broadcast, Map, MapReduce, and Sharding, making large-scale distributed data processing easy to implement.

Delayed Tasks

Implements high-performance delayed tasks based on Redis, with multi-level task storage at the underlying level and comprehensive statistics and reports.

Workflow

Includes a built-in workflow scheduling engine that supports visual DAG design, making it simple and efficient to implement complex task orchestration.

Permission Management

Provides comprehensive user management, supporting menu, button, and data permission settings for flexible user access control.

Alarm Monitoring

Provides comprehensive monitoring metrics and a variety of timely alerting methods, helping operations personnel quickly identify and resolve production issues.

Cross-language

Natively supports multiple programming languages, including Java/Go/PHP/Python, and integrates with frameworks such as Spring Boot, Gin, and Swoft.

5. Tech Stack

Open-Source Comparison

Project

Quartz

Elastic-Job

XXL-JOB

Openjob

Scheduled Scheduling

Cron

Cron

Cron

1. Scheduled Tasks 2. Second-Level Tasks 3. One-Time Tasks 4. Fixed-Frequency Tasks

Delayed Tasks

Not supported

Not supported

Not supported

Implements distributed, high-performance delayed tasks based on Redis, integrating scheduled and delayed task management.

Task Orchestration

Not supported

Not supported

Not supported

Orchestrate tasks visually using workflows.

Distributed Computing

Not supported

Static Sharding

Broadcast

1. Broadcast 2. Map/MapReduce 3. Multi-Language Static Sharding

Multi-Language Support

Java

1. Java 2. Script Tasks

1. Java 2. Script Tasks

1. Java 2. Go (Gin, beego) 3. PHP (Swoft) * Python (Agent) 4. Script Tasks 5. HTTP Tasks 6. Kettle

Visualization

No

Weak

1. History 2. Execution Logs (Storage Not Supported) 3. Monitoring Dashboard

1. History 2. Execution Logs (Supports H2/MySQL/Elasticsearch) 3. Monitoring Dashboard 4. Operation Records 5. View Log Stack Traces

Operational Management

No

Enable or Disable Tasks

1. Enable or Disable Tasks 2. Run Tasks Manually 3. Stop Tasks

1. Enable or Disable Tasks 2. Run Tasks Manually 3. Stop Tasks

Alarm Monitoring

No

Email

Email

1. Email 2. Webhook 3. WeCom 4. Feishu

Performance

Each scheduling operation acquires a lock through the DB, placing significant pressure on the database.

ZooKeeper is a performance bottleneck.

Scheduling is handled by the Master node, placing significant pressure on the Master node.

Tasks use a sharding algorithm, allowing every node to perform scheduling without performance bottlenecks. Supports unlimited horizontal scaling and massive task scheduling.

Dependency


<openjob.worker.version>1.0.4</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>

#1
资源直链https://gitee.com/openjob/openjob
去下载
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