Description
In short: There exists already combined executor support for Celery + Kubernetes, I think that also adding Local + Kubernetes
would be warmly welcomed.

Use case / motivation

Many tasks are low-resource intensive tasks on the airflow pod, It makes sense to keep things running on LocalExecutor, 0 overhead. However I also have a large number of dags, that have some long ru

Summary

From an archived workflow, click on "Resubmit" in the UI

The created workflow do not have the appropriate labels

/!\ the bug happens only for archived workflows (when you resubmit a "normal" workflow, the labels are kept)

Be cautious, some labels should not be copied (like workflows.argoproj.io or workflows.argoproj.io/phase)

however, the labels placed manually by the us

Please move the Doc of Ambari Integration to here, the position is as follows:

official website git repository : https://github.com/apache/dolphinscheduler-website

问题描述：关于工程中某个工作流节点单独执行不报错，保存工作流时提示：NotClassDefFoundError：Cloud not initialize class dispatch.Http$

问题原因：linkis-publish微服务关于netty-3.6.2.Final.jar升级包缺失

问题解决：将升级包上传重启linkis-publish微服务即可。

Describe the issue
In dark mode - hard to see three dots in node to open common props when not highlighted

To Reproduce
Steps to reproduce the behavior:
0. Activate dark mode,

1. Go to pipeline editor, drag a notebook to create a node
2. Scroll over the node and highlight the 3 dots.

Screenshots or log output
![image](https://user-images.githubusercontent.com/13340013/11038

Currently the env variables injected are specific to this docker image https://github.com/barney-s/docker-airflow

Align it with https://github.com/puckel/docker-airflow and make necessary changes in the operator to make it work with both.

related to GoogleCloudPlatform/airflow-operator#10