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Posted to commits@dolphinscheduler.apache.org by GitBox <gi...@apache.org> on 2022/01/27 13:32:02 UTC

[GitHub] [dolphinscheduler-website] Kodalien opened a new pull request #659: 2.0.3_updates01

Kodalien opened a new pull request #659:
URL: https://github.com/apache/dolphinscheduler-website/pull/659


   @zhongjiajie 2.0.3  update  ZH-CN series 01


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[GitHub] [dolphinscheduler-website] zhongjiajie commented on pull request #659: 2.0.3_updates01

Posted by GitBox <gi...@apache.org>.
zhongjiajie commented on pull request #659:
URL: https://github.com/apache/dolphinscheduler-website/pull/659#issuecomment-1024853571


   It a big change, I would take a look tonight when I have more time.


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[GitHub] [dolphinscheduler-website] zhongjiajie commented on pull request #659: 2.0.3_updates01

Posted by GitBox <gi...@apache.org>.
zhongjiajie commented on pull request #659:
URL: https://github.com/apache/dolphinscheduler-website/pull/659#issuecomment-1031572828


   @Kodalien  This PR changed many files, and maybe next time we should separator to multiple PR. PR just like function in programing, one PR should do one single thing, and for easier to review


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[GitHub] [dolphinscheduler-website] Kodalien edited a comment on pull request #659: 2.0.3_updates01

Posted by GitBox <gi...@apache.org>.
Kodalien edited a comment on pull request #659:
URL: https://github.com/apache/dolphinscheduler-website/pull/659#issuecomment-1031631923


   > 顺便说一句,我发现你只是更改了中文版文档,我们也应该更改英文版文档。
   
   do chinese first,after !! @zhongjiajie 


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[GitHub] [dolphinscheduler-website] zhongjiajie commented on a change in pull request #659: 2.0.3_updates01

Posted by GitBox <gi...@apache.org>.
zhongjiajie commented on a change in pull request #659:
URL: https://github.com/apache/dolphinscheduler-website/pull/659#discussion_r800807684



##########
File path: docs/zh-cn/2.0.3/user_doc/About_DolphinScheduler/About_DolphinScheduler.md
##########
@@ -1,10 +1,31 @@
-# 关于DolphinScheduler
+# DolphinScheduler 文档
 Apache DolphinScheduler是一个分布式易扩展的可视化DAG工作流任务调度开源系统。解决数据研发ETL 错综复杂的依赖关系,不能直观监控任务健康状态等问题。DolphinScheduler以DAG流式的方式将Task组装起来,可实时监控任务的运行状态,同时支持重试、从指定节点恢复失败、暂停及Kill任务等操作
-# 简单易用
-DAG监控界面,所有流程定义都是可视化,通过拖拽任务定制DAG,通过API方式与第三方系统对接, 一键部署
-# 高可靠性
-去中心化的多Master和多Worker, 自身支持HA功能, 采用任务队列来避免过载,不会造成机器卡死
-# 丰富的使用场景
-支持暂停恢复操作.支持多租户,更好的应对大数据的使用场景. 支持更多的任务类型,如 spark, hive, mr, python, sub_process, shell
-# 高扩展性
-支持自定义任务类型,调度器使用分布式调度,调度能力随集群线性增长,Master和Worker支持动态上下线
+
+# 原则
+
+### 简单易用
+DAG监控界面,流程定义可视化,拖拽任务定制DAG,API方式与第三方系统对接, 一键部署
+### 高可靠性
+去中心化Master和Worker,采用任务队列避免过载,防止造成机器延时
+## 丰富的使用场景
+支持多任务类型、多租户

Review comment:
       Hi, @Kodalien  do you mind separating this PR into multiple and keeping it easy to review?




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[GitHub] [dolphinscheduler-website] Kodalien closed pull request #659: 2.0.3_updates01

Posted by GitBox <gi...@apache.org>.
Kodalien closed pull request #659:
URL: https://github.com/apache/dolphinscheduler-website/pull/659


   


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[GitHub] [dolphinscheduler-website] Kodalien commented on pull request #659: 2.0.3_updates01

Posted by GitBox <gi...@apache.org>.
Kodalien commented on pull request #659:
URL: https://github.com/apache/dolphinscheduler-website/pull/659#issuecomment-1024919920


   > 这是一个很大的变化,我今晚有空时会去看看。
   
   @zhongjiajie  Hi brother ,I am refactoring all the way.


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[GitHub] [dolphinscheduler-website] Kodalien commented on pull request #659: 2.0.3_updates01

Posted by GitBox <gi...@apache.org>.
Kodalien commented on pull request #659:
URL: https://github.com/apache/dolphinscheduler-website/pull/659#issuecomment-1031061778


   @zhongjiajie  why ?


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[GitHub] [dolphinscheduler-website] Kodalien commented on a change in pull request #659: 2.0.3_updates01

Posted by GitBox <gi...@apache.org>.
Kodalien commented on a change in pull request #659:
URL: https://github.com/apache/dolphinscheduler-website/pull/659#discussion_r800806165



##########
File path: docs/zh-cn/2.0.3/user_doc/About_DolphinScheduler/About_DolphinScheduler.md
##########
@@ -1,10 +1,31 @@
-# 关于DolphinScheduler
+# DolphinScheduler 文档
 Apache DolphinScheduler是一个分布式易扩展的可视化DAG工作流任务调度开源系统。解决数据研发ETL 错综复杂的依赖关系,不能直观监控任务健康状态等问题。DolphinScheduler以DAG流式的方式将Task组装起来,可实时监控任务的运行状态,同时支持重试、从指定节点恢复失败、暂停及Kill任务等操作
-# 简单易用
-DAG监控界面,所有流程定义都是可视化,通过拖拽任务定制DAG,通过API方式与第三方系统对接, 一键部署
-# 高可靠性
-去中心化的多Master和多Worker, 自身支持HA功能, 采用任务队列来避免过载,不会造成机器卡死
-# 丰富的使用场景
-支持暂停恢复操作.支持多租户,更好的应对大数据的使用场景. 支持更多的任务类型,如 spark, hive, mr, python, sub_process, shell
-# 高扩展性
-支持自定义任务类型,调度器使用分布式调度,调度能力随集群线性增长,Master和Worker支持动态上下线
+
+# 原则
+
+### 简单易用
+DAG监控界面,流程定义可视化,拖拽任务定制DAG,API方式与第三方系统对接, 一键部署
+### 高可靠性
+去中心化Master和Worker,采用任务队列避免过载,防止造成机器延时
+## 丰富的使用场景
+支持多任务类型、多租户
+## 高扩展性
+支持自定义任务类型,调度能力随集群线性增长,Master和Worker支持动态上下线
+
+## 组成

Review comment:
       overall reconstruction decision @zhongjiajie 




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[GitHub] [dolphinscheduler-website] zhongjiajie commented on pull request #659: 2.0.3_updates01

Posted by GitBox <gi...@apache.org>.
zhongjiajie commented on pull request #659:
URL: https://github.com/apache/dolphinscheduler-website/pull/659#issuecomment-1031634693


   Hi, @Kodalien do you mind separating this PR into multiple and keeping it easy to review?


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[GitHub] [dolphinscheduler-website] Kodalien commented on pull request #659: 2.0.3_updates01

Posted by GitBox <gi...@apache.org>.
Kodalien commented on pull request #659:
URL: https://github.com/apache/dolphinscheduler-website/pull/659#issuecomment-1031631923


   > 顺便说一句,我发现你只是更改了中文版文档,我们也应该更改英文版文档。
   
   Is first ZH after  EH @zhongjiajie 


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[GitHub] [dolphinscheduler-website] zhongjiajie commented on pull request #659: 2.0.3_updates01

Posted by GitBox <gi...@apache.org>.
zhongjiajie commented on pull request #659:
URL: https://github.com/apache/dolphinscheduler-website/pull/659#issuecomment-1032139615


   @Kodalien It does matter. Please just separate to multiple PR. thanks


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[GitHub] [dolphinscheduler-website] zhongjiajie commented on pull request #659: 2.0.3_updates01

Posted by GitBox <gi...@apache.org>.
zhongjiajie commented on pull request #659:
URL: https://github.com/apache/dolphinscheduler-website/pull/659#issuecomment-1031177044


   @Kodalien So sorry about that, I forgot this issue, I would fetch it to local due to it is a big change


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[GitHub] [dolphinscheduler-website] zhongjiajie commented on pull request #659: 2.0.3_updates01

Posted by GitBox <gi...@apache.org>.
zhongjiajie commented on pull request #659:
URL: https://github.com/apache/dolphinscheduler-website/pull/659#issuecomment-1031577865


   BTW, I found out you just change Chinese version document, we should also change English version doc too.


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[GitHub] [dolphinscheduler-website] Kodalien commented on a change in pull request #659: 2.0.3_updates01

Posted by GitBox <gi...@apache.org>.
Kodalien commented on a change in pull request #659:
URL: https://github.com/apache/dolphinscheduler-website/pull/659#discussion_r800805200



##########
File path: docs/zh-cn/2.0.3/user_doc/About_DolphinScheduler/About_DolphinScheduler.md
##########
@@ -1,10 +1,31 @@
-# 关于DolphinScheduler
+# DolphinScheduler 文档
 Apache DolphinScheduler是一个分布式易扩展的可视化DAG工作流任务调度开源系统。解决数据研发ETL 错综复杂的依赖关系,不能直观监控任务健康状态等问题。DolphinScheduler以DAG流式的方式将Task组装起来,可实时监控任务的运行状态,同时支持重试、从指定节点恢复失败、暂停及Kill任务等操作
-# 简单易用
-DAG监控界面,所有流程定义都是可视化,通过拖拽任务定制DAG,通过API方式与第三方系统对接, 一键部署
-# 高可靠性
-去中心化的多Master和多Worker, 自身支持HA功能, 采用任务队列来避免过载,不会造成机器卡死
-# 丰富的使用场景
-支持暂停恢复操作.支持多租户,更好的应对大数据的使用场景. 支持更多的任务类型,如 spark, hive, mr, python, sub_process, shell
-# 高扩展性
-支持自定义任务类型,调度器使用分布式调度,调度能力随集群线性增长,Master和Worker支持动态上下线
+
+# 原则
+
+### 简单易用
+DAG监控界面,流程定义可视化,拖拽任务定制DAG,API方式与第三方系统对接, 一键部署
+### 高可靠性
+去中心化Master和Worker,采用任务队列避免过载,防止造成机器延时
+## 丰富的使用场景
+支持多任务类型、多租户

Review comment:
       transfer to other places @zhongjiajie 




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[GitHub] [dolphinscheduler-website] Kodalien commented on pull request #659: 2.0.3_updates01

Posted by GitBox <gi...@apache.org>.
Kodalien commented on pull request #659:
URL: https://github.com/apache/dolphinscheduler-website/pull/659#issuecomment-1031638846


   > @Kodalien 这个 PR 更改了许多文件,也许下次我们应该分隔多个 PR。PR 就像编程中的函数一样,一个 PR 应该做一件事情,并且更容易查看
   
   @zhongjiajie   CN <--> US 
   
   
   > 嗨,@Kodalien,您介意将此 PR 分成多个并使其易于查看吗?
   
   ok!! but will let you crash review @zhongjiajie 


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[GitHub] [dolphinscheduler-website] zhongjiajie commented on a change in pull request #659: 2.0.3_updates01

Posted by GitBox <gi...@apache.org>.
zhongjiajie commented on a change in pull request #659:
URL: https://github.com/apache/dolphinscheduler-website/pull/659#discussion_r800763778



##########
File path: docs/zh-cn/2.0.3/user_doc/About_DolphinScheduler/About_DolphinScheduler.md
##########
@@ -1,10 +1,31 @@
-# 关于DolphinScheduler
+# DolphinScheduler 文档
 Apache DolphinScheduler是一个分布式易扩展的可视化DAG工作流任务调度开源系统。解决数据研发ETL 错综复杂的依赖关系,不能直观监控任务健康状态等问题。DolphinScheduler以DAG流式的方式将Task组装起来,可实时监控任务的运行状态,同时支持重试、从指定节点恢复失败、暂停及Kill任务等操作
-# 简单易用
-DAG监控界面,所有流程定义都是可视化,通过拖拽任务定制DAG,通过API方式与第三方系统对接, 一键部署
-# 高可靠性
-去中心化的多Master和多Worker, 自身支持HA功能, 采用任务队列来避免过载,不会造成机器卡死
-# 丰富的使用场景
-支持暂停恢复操作.支持多租户,更好的应对大数据的使用场景. 支持更多的任务类型,如 spark, hive, mr, python, sub_process, shell
-# 高扩展性
-支持自定义任务类型,调度器使用分布式调度,调度能力随集群线性增长,Master和Worker支持动态上下线
+
+# 原则
+
+### 简单易用
+DAG监控界面,流程定义可视化,拖拽任务定制DAG,API方式与第三方系统对接, 一键部署
+### 高可靠性
+去中心化Master和Worker,采用任务队列避免过载,防止造成机器延时
+## 丰富的使用场景
+支持多任务类型、多租户
+## 高扩展性
+支持自定义任务类型,调度能力随集群线性增长,Master和Worker支持动态上下线
+
+## 组成

Review comment:
       I do not think add DolphinScheduler composition here is a good point. IMO, most users could just ignore the composition of DS

##########
File path: docs/zh-cn/2.0.3/user_doc/About_DolphinScheduler/About_DolphinScheduler.md
##########
@@ -1,10 +1,31 @@
-# 关于DolphinScheduler
+# DolphinScheduler 文档
 Apache DolphinScheduler是一个分布式易扩展的可视化DAG工作流任务调度开源系统。解决数据研发ETL 错综复杂的依赖关系,不能直观监控任务健康状态等问题。DolphinScheduler以DAG流式的方式将Task组装起来,可实时监控任务的运行状态,同时支持重试、从指定节点恢复失败、暂停及Kill任务等操作
-# 简单易用
-DAG监控界面,所有流程定义都是可视化,通过拖拽任务定制DAG,通过API方式与第三方系统对接, 一键部署
-# 高可靠性
-去中心化的多Master和多Worker, 自身支持HA功能, 采用任务队列来避免过载,不会造成机器卡死
-# 丰富的使用场景
-支持暂停恢复操作.支持多租户,更好的应对大数据的使用场景. 支持更多的任务类型,如 spark, hive, mr, python, sub_process, shell
-# 高扩展性
-支持自定义任务类型,调度器使用分布式调度,调度能力随集群线性增长,Master和Worker支持动态上下线
+
+# 原则
+
+### 简单易用
+DAG监控界面,流程定义可视化,拖拽任务定制DAG,API方式与第三方系统对接, 一键部署
+### 高可靠性
+去中心化Master和Worker,采用任务队列避免过载,防止造成机器延时
+## 丰富的使用场景
+支持多任务类型、多租户

Review comment:
       Why should we remove example task type? spark, hive, mr, python, sub_process, shell




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