Dolphin Scheduler Official Website [dolphinscheduler.apache.org](https://dolphinscheduler.apache.org) ============ [![License](https://img.shields.io/badge/license-Apache%202-4EB1BA.svg)](https://www.apache.org/licenses/LICENSE-2.0.html) [![Total Lines](https://tokei.rs/b1/github/apache/dolphinscheduler?category=lines)](https://github.com/apache/dolphinscheduler) [![codecov](https://codecov.io/gh/apache/dolphinscheduler/branch/dev/graph/badge.svg)](https://codecov.io/gh/apache/dolphinscheduler/branch/dev) [![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=apache-dolphinscheduler&metric=alert_status)](https://sonarcloud.io/dashboard?id=apache-dolphinscheduler) [![Twitter Follow](https://img.shields.io/twitter/follow/dolphinschedule.svg?style=social&label=Follow)](https://twitter.com/dolphinschedule) [![Slack Status](https://img.shields.io/badge/slack-join_chat-white.svg?logo=slack&style=social)](https://join.slack.com/t/asf-dolphinscheduler/shared_invite/zt-omtdhuio-_JISsxYhiVsltmC5h38yfw) [![Stargazers over time](https://starchart.cc/apache/dolphinscheduler.svg)](https://starchart.cc/apache/dolphinscheduler) [![EN doc](https://img.shields.io/badge/document-English-blue.svg)](README.md) [![CN doc](https://img.shields.io/badge/文档-中文版-blue.svg)](README_zh_CN.md) ## Design Features 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`. Its main objectives are as follows: - Highly Reliable, 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 - High performance, supporting tens of millions of tasks every day - Support multi-tenant. - Cloud Native, DolphinScheduler supports multi-cloud/data center workflow management, also supports Kubernetes, Docker deployment and custom task types, distributed scheduling, with overall scheduling capability increased linearly with the scale of the cluster - Support various task types: Shell, MR, Spark, SQL (MySQL, PostgreSQL, hive, spark SQL), Python, Sub_Process, Procedure, etc. - 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. - 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. - WYSIWYG online editing tasks - Support the priority of workflows & tasks, task failover, and task timeout alarm or failure. - Support workflow global parameters and node customized parameter settings. - Support online upload/download/management of resource files, etc. Support online file creation and editing. - Support task log online viewing and scrolling and downloading, etc. - Support the viewing of Master/Worker CPU load, memory, and CPU usage metrics. - Support displaying workflow history in tree/Gantt chart, as well as statistical analysis on the task status & process status in each workflow. - Support back-filling data. - Support internationalization. - More features waiting for partners to explore... ## What's in DolphinScheduler Stability | Accessibility | Features | Scalability | --------- | ------------- | -------- | ------------| 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 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. 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 | | ## User Interface Screenshots ![dag](./images/en_US/dag.png) ![data-source](./images/en_US/data-source.png) ![home](./images/en_US/home.png) ![master](./images/en_US/master.png) ![workflow-tree](./images/en_US/workflow-tree.png) ## QuickStart in Docker Please refer the official website document: [QuickStart in Docker](https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/guide/start/docker.html) ## QuickStart in Kubernetes Please refer to the official website document: [QuickStart in Kubernetes](https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/guide/installation/kubernetes.html) ## How to Build ```bash ./mvnw clean install -Prelease ``` 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 ``` ## Thanks DolphinScheduler is based on a lot of excellent open-source projects, such as Google guava, guice, 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 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! ## Get Help 1. Submit an [issue](https://github.com/apache/dolphinscheduler/issues/new/choose) 2. [Join our slack](https://join.slack.com/t/asf-dolphinscheduler/shared_invite/zt-omtdhuio-_JISsxYhiVsltmC5h38yfw) and send your question to channel `#troubleshooting` ## Community You are very welcome to communicate with the developers and users of Dolphin Scheduler. There are two ways to find them: 1. Join the Slack channel [Slack](https://asf-dolphinscheduler.slack.com/). 2. Follow the [Twitter account of DolphinScheduler](https://twitter.com/dolphinschedule) and get the latest news on time. ### Contributor over time [![Contributor over time](https://contributor-graph-api.apiseven.com/contributors-svg?chart=contributorOverTime&repo=apache/dolphinscheduler)](https://www.apiseven.com/en/contributor-graph?chart=contributorOverTime&repo=apache/dolphinscheduler) ## How to Contribute The community welcomes everyone to contribute, please refer to this page to find out more: [How to contribute](https://dolphinscheduler.apache.org/en-us/community/development/contribute.html). # Landscapes



  

DolphinScheduler enriches the CNCF CLOUD NATIVE Landscape.

## License Please refer to the [LICENSE](https://github.com/apache/dolphinscheduler/blob/dev/LICENSE) file.