Aatirhassanpir opened a new issue, #46004: URL: https://github.com/apache/airflow/issues/46004
### Apache Airflow version 2.10.4 ### If "Other Airflow 2 version" selected, which one? _No response_ ### What happened? When pausing or unpausing a DAG in Apache Airflow, the logs were not reflecting the correct is_paused status. This issue made it difficult to track the true state of the DAG in the logs, leading to confusion when debugging or monitoring the status of DAGs during execution. ### What you think should happen instead? he logs should correctly reflect the is_paused status whenever a DAG is paused or unpaused. Specifically: When a DAG is paused, the log should show is_paused=True. When a DAG is unpaused, the log should show is_paused=False. This ensures accurate logging for pausing and unpausing events and provides more transparency for debugging and operational monitoring. ### How to reproduce Create a DAG in Apache Airflow. Pause the DAG using the Airflow UI or API (set is_paused=true). Check the logs for the corresponding DAG. Unpause the DAG using the Airflow UI or API (set is_paused=false). Check the logs again. You should notice that the logs either do not include the is_paused field or display incorrect values. ### Operating System windows 11 ### Versions of Apache Airflow Providers _No response_ ### Deployment Official Apache Airflow Helm Chart ### Deployment details Our Apache Airflow deployment is self-hosted on a Kubernetes cluster. We use Helm charts for deployment and manage Airflow's various components (Scheduler, Web Server, Workers, etc.) through this setup. Airflow Version: 2.8.1 (pre-release candidate, testing) Infrastructure: Kubernetes (version 1.21) Orchestration: Helm (version 3.7) Storage: PostgreSQL for metadata storage Executor: CeleryExecutor with Redis as the broker Web UI: Exposed via an NGINX ingress controller for external access Logging: Logs are stored in a centralized logging system using Elasticsearch and Kibana for easy search and monitoring ### Anything else? _No response_ ### Are you willing to submit PR? - [ ] Yes I am willing to submit a PR! ### Code of Conduct - [x] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) -- 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. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
