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jackfanwan 18ef0a66cb Set the id to null when copying t_ds_schedules (#12280) 2 年 前
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deploy 08a4c7981f [improve] Remove the spark version of spark task (#11860) 2 年 前
docs a973054950 [ci] Milestone and Label are required before the PR merged (#12222) 2 年 前
dolphinscheduler-alert 9ab79e064c [Improvement][Test] Fully remove the usage of powermock from the whole project (#12244) 2 年 前
dolphinscheduler-api 18ef0a66cb Set the id to null when copying t_ds_schedules (#12280) 2 年 前
dolphinscheduler-api-test a44817fc46 [Doc][Style] Fix doc format once for all (#12006) 2 年 前
dolphinscheduler-bom 9ab79e064c [Improvement][Test] Fully remove the usage of powermock from the whole project (#12244) 2 年 前
dolphinscheduler-common 9ab79e064c [Improvement][Test] Fully remove the usage of powermock from the whole project (#12244) 2 年 前
dolphinscheduler-dao 98a8b5383e [ fix: #11590 ][upgrade] Fix the bugs when I upgrade ds from v1.3.9 to v3.0.0 ,such as file cannot be found or column not found etc (#11619) 2 年 前
dolphinscheduler-data-quality 105773f54d Remove htrace dependencies (#11881) 2 年 前
dolphinscheduler-datasource-plugin 0a44107bf9 Fix hive datasource connection leak (#12226) 2 年 前
dolphinscheduler-dist c7435a51ac [Feature][task-plugins] aws datasync task plugins (#11865) 2 年 前
dolphinscheduler-e2e 64f4cb4f3e refactor: dag-menu refactor (#11965) 2 年 前
dolphinscheduler-master 165b9a58de [DS-12131][master] Optimize the log printing of the master module acc… (#12152) 2 年 前
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dolphinscheduler-registry 2e4a9e6d53 Fix mysql registry doesn't support array (#12255) 2 年 前
dolphinscheduler-remote 9ab79e064c [Improvement][Test] Fully remove the usage of powermock from the whole project (#12244) 2 年 前
dolphinscheduler-scheduler-plugin d9ac1fa0f7 [Fix#12231][scheduler-plugin] fix the bug which some scheduled tasks are not triggered on time (#12233) 2 年 前
dolphinscheduler-service 9ab79e064c [Improvement][Test] Fully remove the usage of powermock from the whole project (#12244) 2 年 前
dolphinscheduler-spi 9ab79e064c [Improvement][Test] Fully remove the usage of powermock from the whole project (#12244) 2 年 前
dolphinscheduler-standalone-server 40090d459e [Improvement] remove log-server and server module (#12206) 2 年 前
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dolphinscheduler-tools 009cb68011 [Improvement-11834] Upgrade docker base image to support python3.9 (#11835) 2 年 前
dolphinscheduler-ui c7435a51ac [Feature][task-plugins] aws datasync task plugins (#11865) 2 年 前
dolphinscheduler-worker 9ab79e064c [Improvement][Test] Fully remove the usage of powermock from the whole project (#12244) 2 年 前
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tools 9ab79e064c [Improvement][Test] Fully remove the usage of powermock from the whole project (#12244) 2 年 前
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lombok.config d9516e2236 add lombok config (#11212) 2 年 前
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mvnw.cmd 8c19a7776e [Improve][CI]Upgrade maven-wrapper to 3.1.0 (#8557) 3 年 前
pom.xml 9ab79e064c [Improvement][Test] Fully remove the usage of powermock from the whole project (#12244) 2 年 前

README.md

Dolphin Scheduler Official Website

dolphinscheduler.apache.org

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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 data-source home master workflow-tree

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

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, 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
  2. Join our slack 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.
  2. 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.

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DolphinScheduler enriches the CNCF CLOUD NATIVE Landscape.

License

Please refer to the LICENSE file.