[
https://issues.apache.org/jira/browse/AIRFLOW-3917?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16793575#comment-16793575
]
ASF GitHub Bot commented on AIRFLOW-3917:
-----------------------------------------
ashb commented on pull request #4859: [AIRFLOW-3917] Added config to support
running scheduler(with kuberne…
URL: https://github.com/apache/airflow/pull/4859
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
> Support for running Airflow scheduler(with KubernetesExecutor) outside of K8
> cluster
> ------------------------------------------------------------------------------------
>
> Key: AIRFLOW-3917
> URL: https://issues.apache.org/jira/browse/AIRFLOW-3917
> Project: Apache Airflow
> Issue Type: Improvement
> Components: executor, kubernetes, scheduler
> Affects Versions: 1.10.1, 1.10.2
> Reporter: raman
> Assignee: raman
> Priority: Major
>
> Currently It seems that Airflow Scheduler needs to be run inside K8 cluster
> as a long running pod.
> Though there is "in_cluster" config exposed through airflow.cfg but there
> does not seem to be a provision to pass required config file while creating
> kube_client.
> Following is the code snippet from kubernetes_executor.py's start function
> where kube_client is configured without passing any config
> self.kube_client = get_kube_client()
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)