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https://issues.apache.org/jira/browse/AIRFLOW-4593?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16887709#comment-16887709
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Mikołaj Morawski commented on AIRFLOW-4593:
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+1 Here. We are using Airflow in version 1.10.3 from this repository
([https://github.com/puckel/docker-airflow|https://github.com/puckel/docker-airflow/issues/403]
) in Docker version.
We are facing similar issue with airflow scheduler:
[https://github.com/puckel/docker-airflow/issues/403]
I am trying to find the root cause of this memory leak and I am wondering if
this is a problem with docker or with the scheduler.
I will be grateful for any tips.
Regards,
Mikolaj
> Memory leak in Airflow scheduler
> --------------------------------
>
> Key: AIRFLOW-4593
> URL: https://issues.apache.org/jira/browse/AIRFLOW-4593
> Project: Apache Airflow
> Issue Type: Bug
> Components: scheduler
> Affects Versions: 1.10.2
> Reporter: Nikhil SInghal
> Priority: Major
> Attachments: Screenshot 2019-05-30 at 3.19.33 PM.png
>
>
> We are running Apache Airflow on Kubernetes. When I see my Grafana Dashboard
> I see that the memory used is consistently increasing. Can anyone give me
> some pointers for how can I debug this or with existing issues/solutions
> related to this.
> This is a sharp increase in Airflow scheduler and slow increase for worker
> and webserver
> !Screenshot 2019-05-30 at 3.19.33 PM.png|width=100%!
>
>
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