[Improvement][README] Update official website link in readme (#4903)
Shiwen Cheng
GitHub
parent
bfc5d1e4ba
commit
a25c3974fc
|
|
@ -8,7 +8,7 @@ assignees: ''
|
|||
|
||||
*For better global communication, please give priority to using English description, thx! *
|
||||
|
||||
*Please review https://dolphinscheduler.apache.org/en-us/docs/development/issue.html when describe an issue.*
|
||||
*Please review https://dolphinscheduler.apache.org/en-us/community/development/issue.html when describe an issue.*
|
||||
|
||||
**Describe the feature**
|
||||
A clear and concise description of what the feature is.
|
||||
|
|
|
|||
|
|
@ -8,7 +8,7 @@ assignees: ''
|
|||
|
||||
*For better global communication, please give priority to using English description, thx! *
|
||||
|
||||
*Please review https://dolphinscheduler.apache.org/en-us/docs/development/issue.html when describe an issue.*
|
||||
*Please review https://dolphinscheduler.apache.org/en-us/community/development/issue.html when describe an issue.*
|
||||
|
||||
**Describe the question**
|
||||
A clear and concise description of what the improvement is.
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
## *Tips*
|
||||
- *Thanks very much for contributing to Apache DolphinScheduler.*
|
||||
- *Please review https://dolphinscheduler.apache.org/en-us/community/index.html before opening a pull request.*
|
||||
- *Please review https://dolphinscheduler.apache.org/en-us/community/development/pull-request.html before opening a pull request.*
|
||||
|
||||
## What is the purpose of the pull request
|
||||
|
||||
|
|
|
|||
32
README.md
32
README.md
|
|
@ -1,6 +1,7 @@
|
|||
Dolphin Scheduler Official Website
|
||||
[dolphinscheduler.apache.org](https://dolphinscheduler.apache.org)
|
||||
============
|
||||
|
||||
[](https://www.apache.org/licenses/LICENSE-2.0.html)
|
||||
[](https://github.com/apache/Incubator-DolphinScheduler)
|
||||
[](https://codecov.io/gh/apache/incubator-dolphinscheduler/branch/dev)
|
||||
|
|
@ -12,8 +13,7 @@ Dolphin Scheduler Official Website
|
|||
[](README.md)
|
||||
[](README_zh_CN.md)
|
||||
|
||||
|
||||
### Design Features:
|
||||
## 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`.
|
||||
|
||||
|
|
@ -34,8 +34,7 @@ Its main objectives are as follows:
|
|||
- Support internationalization.
|
||||
- More features waiting for partners to explore...
|
||||
|
||||
|
||||
### What's in DolphinScheduler
|
||||
## What's in DolphinScheduler
|
||||
|
||||
Stability | Accessibility | Features | Scalability |
|
||||
-- | -- | -- | --
|
||||
|
|
@ -43,8 +42,7 @@ Decentralized multi-master and multi-worker | Visualization of workflow key info
|
|||
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
|
||||
## User Interface Screenshots
|
||||
|
||||
|
||||
|
||||
|
|
@ -55,11 +53,15 @@ Overload processing: By using the task queue mechanism, the number of schedulabl
|
|||
|
||||
|
||||
|
||||
### QuickStart in Docker
|
||||
Please referer the official website document:[[QuickStart in Docker](https://dolphinscheduler.apache.org/en-us/docs/1.3.5/user_doc/docker-deployment.html)]
|
||||
## QuickStart in Docker
|
||||
|
||||
Please referer the official website document: [QuickStart in Docker](https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/docker-deployment.html)
|
||||
|
||||
### How to Build
|
||||
## QuickStart in Kubernetes
|
||||
|
||||
Please referer the official website document: [QuickStart in Kubernetes](https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/kubernetes-deployment.html)
|
||||
|
||||
## How to Build
|
||||
|
||||
```bash
|
||||
./mvnw clean install -Prelease
|
||||
|
|
@ -72,24 +74,26 @@ dolphinscheduler-dist/target/apache-dolphinscheduler-incubating-${latest.release
|
|||
dolphinscheduler-dist/target/apache-dolphinscheduler-incubating-${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
|
||||
## 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
|
||||
|
||||
### 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.
|
||||
|
||||
## How to Contribute
|
||||
|
||||
### How to Contribute
|
||||
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)]
|
||||
|
||||
## License
|
||||
|
||||
### License
|
||||
Please refer to the [LICENSE](https://github.com/apache/incubator-dolphinscheduler/blob/dev/LICENSE) file.
|
||||
|
|
|
|||
|
|
@ -1,23 +1,24 @@
|
|||
Dolphin Scheduler Official Website
|
||||
[dolphinscheduler.apache.org](https://dolphinscheduler.apache.org)
|
||||
============
|
||||
|
||||
[](https://www.apache.org/licenses/LICENSE-2.0.html)
|
||||
[](https://github.com/apache/Incubator-DolphinScheduler)
|
||||
[](https://codecov.io/gh/apache/incubator-dolphinscheduler/branch/dev)
|
||||
[](https://sonarcloud.io/dashboard?id=apache-dolphinscheduler)
|
||||
|
||||
> Dolphin Scheduler for Big Data
|
||||
|
||||
|
||||
|
||||
[](https://starchart.cc/apache/incubator-dolphinscheduler)
|
||||
|
||||
[](README_zh_CN.md)
|
||||
[](README.md)
|
||||
|
||||
## 设计特点
|
||||
|
||||
一个分布式易扩展的可视化DAG工作流任务调度系统。致力于解决数据处理流程中错综复杂的依赖关系，使调度系统在数据处理流程中`开箱即用`。
|
||||
|
||||
**设计特点：** 一个分布式易扩展的可视化DAG工作流任务调度系统。致力于解决数据处理流程中错综复杂的依赖关系，使调度系统在数据处理流程中`开箱即用`。
|
||||
其主要目标如下：
|
||||
|
||||
- 以DAG图的方式将Task按照任务的依赖关系关联起来，可实时可视化监控任务的运行状态
|
||||
- 支持丰富的任务类型：Shell、MR、Spark、SQL(mysql、postgresql、hive、sparksql),Python,Sub_Process、Procedure等
|
||||
- 支持工作流定时调度、依赖调度、手动调度、手动暂停/停止/恢复，同时支持失败重试/告警、从指定节点恢复失败、Kill任务等操作
|
||||
|
|
@ -33,8 +34,7 @@ Dolphin Scheduler Official Website
|
|||
- 支持国际化
|
||||
- 还有更多等待伙伴们探索
|
||||
|
||||
|
||||
### 系统部分截图
|
||||
## 系统部分截图
|
||||
|
||||
|
||||
|
||||
|
|
@ -50,42 +50,51 @@ Dolphin Scheduler Official Website
|
|||
|
||||
|
||||
|
||||
|
||||
### 近期研发计划
|
||||
## 近期研发计划
|
||||
|
||||
DolphinScheduler的工作计划：<a href="https://github.com/apache/incubator-dolphinscheduler/projects/1" target="_blank">研发计划</a> ，其中 In Develop卡片下是正在研发的功能，TODO卡片是待做事项(包括 feature ideas)
|
||||
|
||||
### 参与贡献
|
||||
## 参与贡献
|
||||
|
||||
非常欢迎大家来参与贡献，贡献流程请参考：
|
||||
[[参与贡献](https://dolphinscheduler.apache.org/zh-cn/docs/development/contribute.html)]
|
||||
[[参与贡献](https://dolphinscheduler.apache.org/zh-cn/community/development/contribute.html)]
|
||||
|
||||
### How to Build
|
||||
## 快速试用 Docker
|
||||
|
||||
请参考官方文档: [快速试用 Docker 部署](https://dolphinscheduler.apache.org/zh-cn/docs/latest/user_doc/docker-deployment.html)
|
||||
|
||||
## 快速试用 Kubernetes
|
||||
|
||||
请参考官方文档: [快速试用 Kubernetes 部署](https://dolphinscheduler.apache.org/zh-cn/docs/latest/user_doc/kubernetes-deployment.html)
|
||||
|
||||
## 如何构建
|
||||
|
||||
```bash
|
||||
./mvnw clean install -Prelease
|
||||
```
|
||||
|
||||
Artifact:
|
||||
制品:
|
||||
|
||||
```
|
||||
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
|
||||
dolphinscheduler-dist/target/apache-dolphinscheduler-incubating-${latest.release.version}-dolphinscheduler-bin.tar.gz: DolphinScheduler 二进制包
|
||||
dolphinscheduler-dist/target/apache-dolphinscheduler-incubating-${latest.release.version}-src.zip: DolphinScheduler 源代码包
|
||||
```
|
||||
|
||||
### 感谢
|
||||
## 感谢
|
||||
|
||||
Dolphin Scheduler使用了很多优秀的开源项目，比如google的guava、guice、grpc，netty，ali的bonecp，quartz，以及apache的众多开源项目等等，
|
||||
正是由于站在这些开源项目的肩膀上，才有Dolphin Scheduler的诞生的可能。对此我们对使用的所有开源软件表示非常的感谢！我们也希望自己不仅是开源的受益者，也能成为开源的贡献者,也希望对开源有同样热情和信念的伙伴加入进来，一起为开源献出一份力！
|
||||
|
||||
## 获得帮助
|
||||
|
||||
### 获得帮助
|
||||
1. 提交issue
|
||||
2. 先订阅邮件开发列表:[订阅邮件列表](https://dolphinscheduler.apache.org/zh-cn/community/development/subscribe.html), 订阅成功后发送邮件到dev@dolphinscheduler.apache.org.
|
||||
|
||||
### 社区
|
||||
## 社区
|
||||
|
||||
1. 通过[该申请链接](https://join.slack.com/t/asf-dolphinscheduler/shared_invite/zt-mzqu52gi-rCggPkSHQ0DZYkwbTxO1Gw)加入slack channel
|
||||
2. 关注[Apache Dolphin Scheduler的Twitter账号](https://twitter.com/dolphinschedule)获取实时动态
|
||||
|
||||
### 版权
|
||||
## 版权
|
||||
|
||||
请参考 [LICENSE](https://github.com/apache/incubator-dolphinscheduler/blob/dev/LICENSE) 文件.
|
||||
|
|
|
|||
Loading…
Reference in New Issue