@ -22,19 +22,25 @@ Dolphin Scheduler Official Website
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.
- 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.
- 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...
@ -91,7 +97,7 @@ We would like to express our deep gratitude to all the open-source projects used
## 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 by [this invitation link](https://join.slack.com/t/asf-dolphinscheduler/shared_invite/zt-omtdhuio-_JISsxYhiVsltmC5h38yfw).
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.
lidongdai
3 years ago
committed by
GitHub