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) [![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: - 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. - 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. - 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. - Have implemented cluster HA, decentralize Master cluster and Worker cluster through Zookeeper. - 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 multi-tenant. - 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 ![home page](https://user-images.githubusercontent.com/15833811/75218288-bf286400-57d4-11ea-8263-d639c6511d5f.jpg) ![dag](https://user-images.githubusercontent.com/15833811/75236750-3374fe80-57f9-11ea-857d-62a66a5a559d.png) ![process definition list page](https://user-images.githubusercontent.com/15833811/75216886-6f479e00-57d0-11ea-92dd-66e7640a186f.png) ![view task log online](https://user-images.githubusercontent.com/15833811/75216924-9900c500-57d0-11ea-91dc-3522a76bdbbe.png) ![resource management](https://user-images.githubusercontent.com/15833811/75216984-be8dce80-57d0-11ea-840d-58546edc8788.png) ![monitor](https://user-images.githubusercontent.com/59273635/75625839-c698a480-5bfc-11ea-8bbe-895b561b337f.png) ![security](https://user-images.githubusercontent.com/15833811/75236441-bfd2f180-57f8-11ea-88bd-f24311e01b7e.png) ![treeview](https://user-images.githubusercontent.com/15833811/75217191-3fe56100-57d1-11ea-8856-f19180d9a879.png) ## QuickStart in Docker Please referer the official website document: [QuickStart in Docker](https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/docker-deployment.html) ## QuickStart in Kubernetes Please referer the official website document: [QuickStart in Kubernetes](https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/kubernetes-deployment.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, ali bonecp, 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)] 1. Subscribe to this mail list: https://dolphinscheduler.apache.org/en-us/community/development/subscribe.html, then email dev@dolphinscheduler.apache.org ## Community You are so much welcomed to communicate with the developers and users of Dolphin Scheduler freely. There are two ways to find them: 1. Join the slack channel by [this invitation link](https://join.slack.com/t/asf-dolphinscheduler/shared_invite/zt-mzqu52gi-rCggPkSHQ0DZYkwbTxO1Gw). 2. Follow the [twitter account of Dolphin Scheduler](https://twitter.com/dolphinschedule) and get the latest news just on time. ## How to Contribute The community welcomes everyone to participate in contributing, please refer to this website to find out more: [[How to contribute](https://dolphinscheduler.apache.org/en-us/community/development/contribute.html)] ## License Please refer to the [LICENSE](https://github.com/apache/dolphinscheduler/blob/dev/LICENSE) file.