Comprehensive Guide to Apache DolphinScheduler 3.2.0: Single-Node Deployment, Testing, and New Features

Abstract: This detailed guide provides a step-by-step walkthrough for deploying and verifying Apache DolphinScheduler 3.2.0 in a single-node environment. It includes system requirements, installation instructions, configuration tips, and a full test report to ensure successful implementation.

Keywords: Apache DolphinScheduler, Single-node Deployment, Workflow Orchestration, Data Scheduling, Test Verification

Industry Context and Version Overview

Apache DolphinScheduler has emerged as a leading open-source workflow orchestration platform, particularly favored for its powerful DAG visualization and low-code approach. The 3.2.0 release marks a significant milestone with enhanced features and improved support for domestic databases like Dameng, addressing localization requirements in various regions.

(Important Note: While our tests confirm full functionality of the 3.2.0 single-node deployment, the community currently recommends version 3.1.9 for production environments due to its proven stability.)

Deployment Environment Specifications

• Java Version: 1.8.0_181 (Oracle JDK recommended)
• Operating System: CentOS Linux release 7.6.1810 (64-bit)
• Database: MySQL 5.7.22-22-log (with MySQL Driver 8.0.16)
• Hardware: Minimum 4GB RAM, 2 CPU cores recommended

Key Features in Version 3.2.0

• Enhanced support for domestic database systems
• Improved security configurations with Actuator disablement
• Optimized Python 3.0+ integration for task execution
• Refined Docker image management and tagging system
• Advanced workflow abstraction for diverse runtime environments

Comprehensive Deployment Process

1. Package Preparation

Download the latest release from the official website and extract:

tar -xvzf apache-dolphinscheduler-3.2.0-bin.tar.gz

2. Database Configuration

Set up a dedicated MySQL instance with proper permissions:

CREATE DATABASE dolphinscheduler DEFAULT CHARACTER SET utf8 DEFAULT COLLATE utf8_general_ci;
GRANT ALL PRIVILEGES ON dolphinscheduler.* TO 'ds_user'@'%' IDENTIFIED BY 'secure_password';
FLUSH PRIVILEGES;

3. Environment Configuration

Modify critical parameters in dolphinscheduler_env.sh:

• Database connection details (host, port, credentials)
• JVM memory allocation parameters
• Python and Java environment paths

Verification and Testing

After successful installation, conduct these verification steps:

1. Check service status through the web interface
2. Validate version information display
3. Execute sample workflows (SQL, HTTP, Python tasks)
4. Test alerting and notification systems
5. Verify database persistence after restarts

Advanced Configuration Tips

• For production environments, consider implementing:
  • Regular database backups
  • Resource isolation for critical workflows
  • Integration with existing monitoring systems
• Leverage the new task type abstraction for complex workflows
• Configure proper logging levels for troubleshooting

Conclusion

This guide demonstrates that Apache DolphinScheduler 3.2.0 successfully passes all functional, compatibility, and security tests in a single-node deployment scenario. The platform continues to evolve as a robust solution for modern data orchestration needs, offering:

• Intuitive workflow management
• Extensive task type support
• Scalable architecture
• Enterprise-grade scheduling capabilities

For production deployments, monitor the community for stability updates or consider version 3.1.9 while 3.2.0 undergoes further production validation.