lzf12 opened a new issue, #55172: URL: https://github.com/apache/airflow/issues/55172
### Apache Airflow version Other Airflow 2 version (please specify below) ### If "Other Airflow 2 version" selected, which one? 2.10.4 ### What happened? We deployed two schedulers and three workers in a cluster environment, and the task was interrupted in one execution, and the scheduler log showed that the task had failed, but the task was still queued in the metadatabase ### What you think should happen instead? I think it is airflow that produces scenes with inconsistent state in some scenes with high concurrency ... ### How to reproduce This problem is not easy to reproduce, we happened occasionally during production runs, but it was fine when the re-cleark allowed it ### Operating System Ubuntu 20.04.6 LTS ### Versions of Apache Airflow Providers 2.10.4 ### Deployment Other ### Deployment details using Helm and K8s for installation Helm：v3.16.2+g13654a5 Kubernates: Client Version: v1.28.14 Kustomize Version: v5.0.4-0.20230601165947-6ce0bf390ce3 Server Version: v1.28.14 ### Anything else? _No response_ ### Are you willing to submit PR? - [x] 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]
