[Fix-17370] Fix worker server start failed when using hdfs storage type (#17496)
* fix worker server start failed when using hdfs storage type
* fix worker server start failed when using hdfs storage type
1 file changed
tree: b33df0e2b6865ac8ad0f18119bb3756b3eabb665
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- dolphinscheduler-alert/
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- dolphinscheduler-dao/
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- dolphinscheduler-datasource-plugin/
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- dolphinscheduler-storage-plugin/
- dolphinscheduler-task-executor/
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README.md
Apache Dolphinscheduler

About
Apache DolphinScheduler is a modern data orchestration platform that empowers agile, low-code development of high-performance workflows. It is dedicated to handling complex task dependencies in data pipelines, and provides a wide range of built-in job types ** out of the box**
Key features for DolphinScheduler are as follows:
- Easy to deploy, provides four deployment modes including Standalone, Cluster, Docker and Kubernetes.
- Easy to use, workflows can be created and managed via Web UI, Python SDK or Open API
- Highly reliable and high availability, with a decentralized, multi-master and multi-worker architecture and native supports for horizontal scaling.
- High performance, its performance is several times faster than other orchestration platforms, and it is capable of handling tens of millions of tasks per day
- Cloud Native, DolphinScheduler supports orchestrating workflows cross multiple clouds and data centers, and allows custom task types
- Workflow Versioning, provides version control for both workflows and individual workflow instances, including tasks.
- Flexible state control of workflows and tasks, supports pause/stop/recover them in any time
- Multi-tenancy support
- Additional features, backfill support(Web UI native), permission control including project and data source etc.
QuickStart
- For quick experience
- For Kubernetes
- For Terraform
User Interface Screenshots
Homepage: Project and workflow overview, including the latest workflow instance and task instance status statistics. 
Workflow Definition: Create and manage workflows by drag and drop, easy to build and maintain complex workflows, support a wide range of tasks out of box. 
Workflow Tree View: Abstract tree structure could provide a clearer understanding of task relationships 
Data source: Supports multiple external data sources, provides unified data access capabilities for MySQL, PostgreSQL, Hive, Trino, etc. 
Monitor: View the status of the master, worker and database in real time, including server resource usage and load, do quick health check without logging in to the server. 
Suggestions & Bug Reports
Follow this guide to report your suggestions or bugs.
Contributing
The community welcomes contributions from everyone. Please refer to this page to find out more details: How to contribute. Check out good first issue in here if you are new to DolphinScheduler.
Community
Welcome to join the Apache DolphinScheduler community by:
Landscapes