Jay Chung
README.md
Dolphin Scheduler Official Website
dolphinscheduler.apache.org
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Features
Apache DolphinScheduler is the modern data workflow orchestration platform with powerful user interface, dedicated to solving complex task dependencies in the data pipeline and providing various types of jobs available out of the box
The key features for DolphinScheduler are as follows:
- Easy to deploy, we provide 4 ways to deploy, such as Standalone deployment,Cluster deployment,Docker / Kubernetes deployment and Rainbond deployment
Easy to use, there are four ways to create workflows:
- Visually, create tasks by dragging and dropping tasks
- PyDolphinScheduler, Creating workflows via Python API, aka workflow-as-code
- Yaml definition, mapping yaml into workflow(have to install PyDolphinScheduler currently)
- Open API, Creating workflows
Highly Reliable, DolphinScheduler uses a decentralized multi-master and multi-worker architecture, which naturally supports horizontal scaling and high availability
High performance, its performance is N times faster than other orchestration platform and it can support tens of millions of tasks per day
Supports multi-tenancy
Supports various task types: Shell, MR, Spark, SQL (MySQL, OceanBase, PostgreSQL, Hive, Spark SQL), Python, Procedure, Sub_Workflow, Http, K8s, Jupyter, MLflow, SageMaker, DVC, Pytorch, Amazon EMR, etc
Orchestrating workflows and dependencies, you can pause/stop/recover task any time, failed tasks can be set to automatically retry
Visualizing the running state of the task in real-time and seeing the task runtime log
What you see is what you get when you edit the task on the UI
Backfill can be operated on the UI directly
Perfect project, resource, data source-level permission control
Displaying workflow history in tree/Gantt chart, as well as statistical analysis on the task status & process status in each workflow
Supports internationalization
Cloud Native, DolphinScheduler supports orchestrating multi-cloud/data center workflow, and supports custom task type
More features waiting for partners to explore
User Interface Screenshots
QuickStart in Docker
Please refer the official website document: QuickStart in Docker
QuickStart in Kubernetes
Please refer to the official website document: QuickStart in Kubernetes
How to Build
./mvnw clean install -Prelease
Build with different Zookeeper versions
The default Zookeeper Server version supported is 3.8.0.
# Default Zookeeper 3.8.0
./mvnw clean install -Prelease
# Support to Zookeeper 3.4.6+
./mvnw clean install -Prelease -Dzk-3.4
Artifact:
dolphinscheduler-dist/target/apache-dolphinscheduler-${latest.release.version}-bin.tar.gz: Binary package of DolphinScheduler
dolphinscheduler-dist/target/apache-dolphinscheduler-${latest.release.version}-src.tar.gz: Source code package of DolphinScheduler
Get Help
- Submit an issue
- Join our slack and send your question to channel
#general - Send email to users@dolphinscheduler.apache.org or dev@dolphinscheduler.apache.org
Community
You are very welcome to communicate with the developers and users of Dolphin Scheduler. There are two ways to find them:
- Join the Slack channel Slack
- Follow the Twitter account of DolphinScheduler and get the latest news on time
How to Contribute
The community welcomes everyone to contribute, please refer to this page to find out more: How to contribute.
Thanks
DolphinScheduler is based on a lot of excellent open-source projects, such as Google guava, grpc, netty, quartz, and many open-source projects of Apache and so on. We would like to express our deep gratitude to all the open-source projects used in DolphinScheduler. We hope that we are not only the beneficiaries of open-source, but also give back to the community. Besides, we hope everyone who have the same enthusiasm and passion for open source could join in and contribute to the open-source community
Landscapes
DolphinScheduler enriches the CNCF CLOUD NATIVE Landscape.
License
Please refer to the LICENSE file