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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`.
A distributed and easy-to-extend visual DAG workflow scheduling system. Dedicated to solving the complex dependencies in data processing, making the scheduling system `out of the box` for data processing.
Its main objectives are as follows:
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 task in real time.
- 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 for many task types: Shell, MR, Spark, SQL (mysql, postgresql, hive, sparksql), Python, Sub_Process, Procedure, etc.
- Support various task types: Shell, MR, Spark, SQL (MySQL, PostgreSQL, hive, spark SQL), Python, Sub_Process, Procedure, etc.
- Support process scheduling, dependency scheduling, manual scheduling, manual pause/stop/recovery, support for failed retry/alarm, recovery from specified nodes, Kill task, 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 process priority, task priority and task failover and task timeout alarm/failure
- Support the priority of workflows & tasks, task failover, and task timeout alarm or failure.
- Support process global parameters and node custom parameter settings
- Support workflow global parameters and node customized parameter settings.
- Support online upload/download of resource files, management, etc. Support online file creation and editing
- Support online upload/download/management of resource files, etc. Support online file creation and editing.
- Support task log online viewing and scrolling, online download log, etc.
- Support task log online viewing and scrolling and downloading, etc.
- Implement cluster HA, decentralize Master cluster and Worker cluster through Zookeeper
- Have implemented cluster HA, decentralize Master cluster and Worker cluster through Zookeeper.
- Support online viewing of `Master/Worker` cpu load, memory
- Support the viewing of Master/Worker CPU load, memory, and CPU usage metrics.
- Support process running history tree/gantt chart display, support task status statistics, process status statistics
- Support displaying workflow history in tree/Gantt chart, as well as statistical analysis on the task status & process status in each workflow.
- Support backfilling data
- Support back-filling data.
- Support multi-tenant
- Support multi-tenant.
- Support internationalization
- Support internationalization.
- There are more waiting partners to explore
- More features waiting for partners to explore...
## What's in DolphinScheduler
### What's in Dolphin Scheduler
Stability | Accessibility | Features | Scalability |
Stability | Easy to use | Features | Scalability |
-- | -- | -- | --
-- | -- | -- | --
Decentralized multi-master and multi-worker | Visualization process defines key information such as task status, task type, retry times, task running machine, visual variables and so on at a glance. | Support pause, recover operation | support custom task types
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
HA is supported by itself | All process definition operations are visualized, dragging tasks to draw DAGs, configuring data sources and resources. At the same time, for third-party systems, the api mode operation is provided. | 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 uses distributed scheduling, and the overall scheduling capability will increase linearly with the scale of the cluster. Master and Worker support dynamic online and offline.
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: Task queue mechanism, the number of schedulable tasks on a single machine can be flexibly configured, when too many tasks will be cached in the task queue, will not cause machine jam. | One-click deployment | Supports traditional shell tasks, and also support big data platform task scheduling: MR, Spark, SQL (mysql, postgresql, hive, sparksql), Python, Procedure, Sub_Process | |
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 | |
Please referer the official website document: [QuickStart in Docker](https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/docker-deployment.html)
Work plan of Dolphin Scheduler: [R&D plan](https://github.com/apache/incubator-dolphinscheduler/projects/1), Under the `In Develop` card is what is currently being developed, TODO card is to be done (including feature ideas)
### How to contribute
## QuickStart in Kubernetes
Welcome to participate in contributing, please refer to the process of submitting the code:
Please referer the official website document: [QuickStart in Kubernetes](https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/kubernetes-deployment.html)
[[How to contribute](https://dolphinscheduler.apache.org/en-us/docs/development/contribute.html)]
dolphinscheduler-dist/target/apache-dolphinscheduler-incubating-${latest.release.version}-src.zip: Source code package of DolphinScheduler
dolphinscheduler-dist/target/apache-dolphinscheduler-incubating-${latest.release.version}-src.zip: Source code package of DolphinScheduler
```
```
### Thanks
## 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/incubator-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.
Dolphin Scheduler uses a lot of excellent open source projects, such as google guava, guice, grpc, netty, ali bonecp, quartz, and many open source projects of apache, etc.
## How to Contribute
It is because of the shoulders of these open source projects that the birth of the Dolphin Scheduler is possible. We are very grateful for all the open source software used! We also hope that we will not only be the beneficiaries of open source, but also be open source contributors. We also hope that partners who have the same passion and conviction for open source will join in and contribute to open source!
### Get Help
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)]
1. Submit an issue
1. Subscribe the mail list : https://dolphinscheduler.apache.org/en-us/docs/development/subscribe.html. then send mail to dev@dolphinscheduler.apache.org
dolphinscheduler-dist/target/apache-dolphinscheduler-incubating-${latest.release.version}-dolphinscheduler-bin.tar.gz: Binary package of DolphinScheduler
Shiwen Cheng
4 years ago
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