Nikhil SInghal created AIRFLOW-4593:
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Summary: 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
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 any with existing issues/solutions related
to this.
This is a sharp increase in Airflow scheduler and slow increase for worker and
webserver
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