bruciebruce opened a new issue #19188:
URL: https://github.com/apache/airflow/issues/19188


   ### Official Helm Chart version
   
   1.2.0 (latest released)
   
   ### Apache Airflow version
   
   2.1.4 (latest released)
   
   ### Kubernetes Version
   
   Client Version: version.Info{Major:"1", Minor:"21+", 
GitVersion:"v1.21.2-13+d2965f0db10712", 
GitCommit:"d2965f0db1071203c6f5bc662c2827c71fc8b20d", GitTreeState:"clean", 
BuildDate:"2021-06-26T01:02:11Z", GoVersion:"go1.16.5", Compiler:"gc", 
Platform:"linux/amd64"} Server Version: version.Info{Major:"1", Minor:"18+", 
GitVersion:"v1.18.20-eks-8c579e", 
GitCommit:"8c579edfc914f013ff48b2a2b2c1308fdcacc53f", GitTreeState:"clean", 
BuildDate:"2021-07-31T01:34:13Z", GoVersion:"go1.13.15", Compiler:"gc", 
Platform:"linux/amd64"} WARNING: version difference between client (1.21) and 
server (1.18) exceeds the supported minor version skew of +/-1
   
   ### Helm Chart configuration
   
   I am using the default helm chart created by the airflow group.
   
   ### Docker Image customisations
   
   None.
   
   ### What happened
   
   I installed airflow with the helm chart from the airflow people:
   
   https://airflow.apache.org/docs/helm-chart/stable/index.html
   
   specifically these 3 steps:
   
   kubectl create namespace airflow
   helm repo add apache-airflow https://airflow.apache.org
   helm install airflow apache-airflow/airflow --namespace airflow
   
   to a k8s 3 node cluster hosted on AWS.
   
   I run airflow locally provided by the docker-compose.yaml file provided here:
   
   https://airflow.apache.org/docs/apache-airflow/stable/start/docker.html
   
   The local docker verson runs fine without any headaches.
   
   However when I deploy the SAME dag that I deploy locally (which works just 
fine) to my cluster with this command:
   
   kubectl cp hello-world.py 
airflow/airflow-scheduler-xxxxxxxxxx-xxxx:/opt/airflow/dags -c scheduler
   
   the dag is stuck in a paused state.  I cannot put the dag in an active state 
by clicking in the UI.
   
   ### What you expected to happen
   
   To put the dag in an active state.
   
   ### How to reproduce
   
   _No response_
   
   ### Anything else
   
   _No response_
   
   ### Are you willing to submit PR?
   
   - [X] Yes I am willing to submit a PR!
   
   ### Code of Conduct
   
   - [X] I agree to follow this project's [Code of 
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
   


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