You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@airflow.apache.org by "Ash Berlin-Taylor (JIRA)" <ji...@apache.org> on 2019/07/17 12:03:00 UTC
[jira] [Updated] (AIRFLOW-4593) Memory leak in Airflow scheduler
[ https://issues.apache.org/jira/browse/AIRFLOW-4593?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Ash Berlin-Taylor updated AIRFLOW-4593:
---------------------------------------
Description:
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!
was:
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
> 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!
>
>
--
This message was sent by Atlassian JIRA
(v7.6.14#76016)