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113 lines
9.7 KiB
Markdown
113 lines
9.7 KiB
Markdown
Dolphin Scheduler Official Website
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[dolphinscheduler.apache.org](https://dolphinscheduler.apache.org)
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==================================================================
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[](https://www.apache.org/licenses/LICENSE-2.0.html)
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[](https://codecov.io/gh/apache/dolphinscheduler/branch/dev)
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[](https://sonarcloud.io/dashboard?id=apache-dolphinscheduler)
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[](https://twitter.com/dolphinschedule)
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[](https://s.apache.org/dolphinscheduler-slack)
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[](https://starchart.cc/apache/dolphinscheduler)
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[](README.md)
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[](README_zh_CN.md)
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## Design Features
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DolphinScheduler is a distributed and extensible workflow scheduler platform with powerful DAG visual interfaces, dedicated to solving complex job dependencies in the data pipeline and providing various types of jobs available `out of the box`.
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Its main objectives are as follows:
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- Highly Reliable,
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DolphinScheduler adopts a decentralized multi-master and multi-worker architecture design, which naturally supports easy expansion and high availability (not restricted by a single point of bottleneck), and its performance increases linearly with the increase of machines
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- High performance, supporting tens of millions of tasks every day
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- Support multi-tenant.
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- Cloud Native, DolphinScheduler supports multi-cloud/data center workflow management, also
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supports Kubernetes, Docker deployment and custom task types, distributed
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scheduling, with overall scheduling capability increased linearly with the
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scale of the cluster
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- Support various task types: Shell, MR, Spark, SQL (MySQL, PostgreSQL, hive, spark SQL), Python, Sub_Process, Procedure, etc.
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- Support scheduling of workflows and dependencies, manual scheduling to pause/stop/recover task, support failure task retry/alarm, recover specified nodes from failure, kill task, etc.
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- Associate the tasks according to the dependencies of the tasks in a DAG graph, which can visualize the running state of the task in real-time.
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- WYSIWYG online editing tasks
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- Support the priority of workflows & tasks, task failover, and task timeout alarm or failure.
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- Support workflow global parameters and node customized parameter settings.
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- Support online upload/download/management of resource files, etc. Support online file creation and editing.
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- Support task log online viewing and scrolling and downloading, etc.
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- Support the viewing of Master/Worker CPU load, memory, and CPU usage metrics.
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- Support displaying workflow history in tree/Gantt chart, as well as statistical analysis on the task status & process status in each workflow.
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- Support back-filling data.
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- Support internationalization.
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- More features waiting for partners to explore...
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## What's in DolphinScheduler
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| Stability | Accessibility | Features | Scalability |
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|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| Decentralized multi-master and multi-worker | Visualization of workflow key information, such as task status, task type, retry times, task operation machine information, visual variables, and so on at a glance. | Support pause, recover operation | Support customized task types |
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| support HA | Visualization of all workflow operations, dragging tasks to draw DAGs, configuring data sources and resources. At the same time, for third-party systems, provide API mode operations. | Users on DolphinScheduler can achieve many-to-one or one-to-one mapping relationship through tenants and Hadoop users, which is very important for scheduling large data jobs. | The scheduler supports distributed scheduling, and the overall scheduling capability will increase linearly with the scale of the cluster. Master and Worker support dynamic adjustment. |
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| Overload processing: By using the task queue mechanism, the number of schedulable tasks on a single machine can be flexibly configured. Machine jam can be avoided with high tolerance to numbers of tasks cached in task queue. | One-click deployment | Support traditional shell tasks, and big data platform task scheduling: MR, Spark, SQL (MySQL, PostgreSQL, hive, spark SQL), Python, Procedure, Sub_Process | |
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## User Interface Screenshots
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## QuickStart in Docker
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Please refer the official website document: [QuickStart in Docker](https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/guide/start/docker.html)
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## QuickStart in Kubernetes
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Please refer to the official website document: [QuickStart in Kubernetes](https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/guide/installation/kubernetes.html)
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## How to Build
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```bash
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./mvnw clean install -Prelease
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```
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Artifact:
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```
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dolphinscheduler-dist/target/apache-dolphinscheduler-${latest.release.version}-bin.tar.gz: Binary package of DolphinScheduler
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dolphinscheduler-dist/target/apache-dolphinscheduler-${latest.release.version}-src.tar.gz: Source code package of DolphinScheduler
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```
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## Thanks
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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.
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We would like to express our deep gratitude to all the open-source projects used in Dolphin Scheduler. 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!
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## Get Help
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1. Submit an [issue](https://github.com/apache/dolphinscheduler/issues/new/choose)
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2. [Join our slack](https://s.apache.org/dolphinscheduler-slack) and send your question to channel `#troubleshooting`
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## Community
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You are very welcome to communicate with the developers and users of Dolphin Scheduler. There are two ways to find them:
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1. Join the Slack channel [Slack](https://asf-dolphinscheduler.slack.com/).
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2. Follow the [Twitter account of DolphinScheduler](https://twitter.com/dolphinschedule) and get the latest news on time.
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## How to Contribute
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The community welcomes everyone to contribute, please refer to this page to find out more: [How to contribute](docs/docs/en/contribute/join/contribute.md).
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# Landscapes
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<p align="center">
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<br/><br/>
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<img src="https://landscape.cncf.io/images/left-logo.svg" width="150"/> <img src="https://landscape.cncf.io/images/right-logo.svg" width="200"/>
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<br/><br/>
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DolphinScheduler enriches the <a href="https://landscape.cncf.io/?landscape=observability-and-analysis&license=apache-license-2-0">CNCF CLOUD NATIVE Landscape.</a >
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</p >
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## License
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Please refer to the [LICENSE](https://github.com/apache/dolphinscheduler/blob/dev/LICENSE) file.
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