1,The schedule is opened to the outside through the token mode, and can be accessed through the api. 2, you can specify the machine (group) where the task runs. 3, task process monitoring and Master, Worker, Zookeeper running status monitoring 4, workflow definition - increase the process timeout alarm 5, the task type supports Oracle, CLICKHOUSE, SQLSERVER, IMPALA 6, Sql task node can independently select CC mail users 7,User Management—Users can bind queues. The user queue level is higher than the tenant queue level. If the user queue is empty, look for the tenant queue. 8, tenant code allows the encoding of pure numbers or underscores 9, Python task can specify the version


1,调度通过token方式对外开放接口,可以通过api进行操作访问 2,可以指定任务运行的机器(组) 3,任务流程监控及Master、Worker、Zookeeper运行状态监控 4,工作流定义—增加流程超时报警 5,任务类型支持Oracle、CLICKHOUSE、SQLSERVER、IMPALA 6,Sql任务节点可以独立选取抄送邮件用户 7,用户管理—用户可以绑定队列,用户队列级别高于租户队列级别,如果用户队列为空,则寻找租户队列 8,租户编码允许纯数字或者下划线这种的编码 9,Python任务可指定版本

项目简介

Apache DolphinScheduler is the modern data workflow orchestration platform with powerful user interface, dedicated to solving complex task dependencies in the data pipeline and providing various types of jobs available out of the box

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源项目地址

https://github.com/apache/dolphinscheduler

发行版本 35

3.0.2

全部发行版

贡献者 211

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开发语言

  • Java 80.7 %
  • TypeScript 17.4 %
  • Shell 0.6 %
  • PLpgSQL 0.5 %
  • SCSS 0.5 %