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[Improvement-4450][datasource] Hive/Spark data sources do not support multi-tenancy when Kerberos authentication is enabled (#4593) 
* hive/spark jdbc add kerberos paramter.

* update datasource vue paramter placeholder.

* update code style.

* add datasource ApiImplicitParam in the kerberos paramter.

* update constants class code style.

* add code test and code style.

* update BaseDataSourceTest code style.

* update BaseDataSourceTest class code style.

* update DataSourceController class code style.

* update DataSourceController ApiImplicitParam

* update ui create data source vue.
2021-02-06 16:57:59 +08:00
.github removed issue label (#4623) 2021-01-30 20:25:27 +08:00
.mvn Merge dev to alert_plugin_design (#4351) 2021-01-08 15:56:19 +08:00
ambari_plugin [FIX-#4592]Fix that the worker group management IP is not displayed correctly. (#4620) 2021-01-29 16:54:39 +08:00
docker reslove 2021-01-22 18:00:34 +08:00
dolphinscheduler-alert Capture when the alarm is abnormal 2021-01-30 22:41:48 +08:00
dolphinscheduler-alert-plugin [Fix-4641][Alert] Sending the email to the following server failed :null:null (#4642) 2021-02-03 14:20:16 +08:00
dolphinscheduler-api [Improvement-4450][datasource] Hive/Spark data sources do not support multi-tenancy when Kerberos authentication is enabled (#4593) 2021-02-06 16:57:59 +08:00
dolphinscheduler-common [Improvement-4450][datasource] Hive/Spark data sources do not support multi-tenancy when Kerberos authentication is enabled (#4593) 2021-02-06 16:57:59 +08:00
dolphinscheduler-dao [Improvement-4450][datasource] Hive/Spark data sources do not support multi-tenancy when Kerberos authentication is enabled (#4593) 2021-02-06 16:57:59 +08:00
dolphinscheduler-dist [Feature-#4350][Alert]support feishu plugin (#4594) 2021-01-29 22:41:13 +08:00
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dolphinscheduler-service [FIX-2101]It solves the problem that the name of the branch will not change after the name of the branch is changed in the workflow page and instance page. (#4555) 2021-02-02 16:07:37 +08:00
dolphinscheduler-spi [Improvement][alert-spi]plugin instance only saves the main information 2021-01-29 09:50:23 +08:00
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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:

  • 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 Easy to use 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 dag process definition list page view task log online resource management monitor security treeview

QuickStart in Docker

Please referer the official website document:[QuickStart in Docker]

How to Build

./mvnw clean install -Prelease

Artifact:

dolphinscheduler-dist/target/apache-dolphinscheduler-incubating-${latest.release.version}-dolphinscheduler-bin.tar.gz: Binary package of DolphinScheduler
dolphinscheduler-dist/target/apache-dolphinscheduler-incubating-${latest.release.version}-src.zip: 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]
  2. Subscribe to the mail list: https://dolphinscheduler.apache.org/en-us/docs/development/subscribe.html, then email dev@dolphinscheduler.apache.org

How to Contribute

The community welcomes everyone to participate in contributing, please refer to this website to find out more: [How to contribute]

License

Please refer to the LICENSE file.