You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@airflow.apache.org by "Grant Nicholas (JIRA)" <ji...@apache.org> on 2019/07/15 17:02:00 UTC

[jira] [Commented] (AIRFLOW-4593) Memory leak in Airflow scheduler

    [ https://issues.apache.org/jira/browse/AIRFLOW-4593?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16885411#comment-16885411 ] 

Grant Nicholas commented on AIRFLOW-4593:
-----------------------------------------

+1 on here. We upgraded airflow  from 1.10.0 to 1.10.3 on Friday and are seeing a memory leak in the scheduler consistent with the above screenshot. 

> 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
>  
>  



--
This message was sent by Atlassian JIRA
(v7.6.14#76016)