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celery worker task goes out of memory silently

apache/airflow#61521·46929·Python·165 天未动·9 条评论·上游最近活跃 ·池内状态:可认领
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### Apache Airflow version Other Airflow 3 version (please specify below) ### If "Other Airflow 3 version" selected, which one? 3.1.6 ### What happened? We have this issue where a tasks gets suddenly killed by out of memory ( `exit_code=-9` ) without showing it in the UIs task logs. In some case we do see a CRITICAL log error for a give task saying that it indeed exited with code -9. In other cases an empty log is shown (for attempt 2): <img width="1231" height="489" alt="Image" src="https://github.com/user-attachments/assets/45933716-9de4-4e63-9c35-ac6965216f2c" /> If i check the logs for attempt1 I see, which also does not specify anything about why this worker was killed ``` airflow@airflow-worker-1:/opt/airflow/logs$ cat "/opt/airflow/logs/dag_id=hep_create_dag/run_id=579c45ef-2c6d-471f-a893-1fd4cc26fbb2/task_id=halt_for_approval_if_new_or_reject_if_not_relevant.update_inspire_categories/attempt=1.log" {"timestamp":"2026-02-06T09:37:41.890482Z","level":"warning","event":"pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.","category":"UserWarning","filename":"/home/airflow/.local/lib/python3.11/site-packages/inspire_schemas/utils.py","lineno":50,"logger":"py.warnings"} {"timestamp":"2026-02-06T09:37:42.406828Z","level":"info","event":"DAG bundles loaded: dags-folder","logger":"airflow.dag_processing.bundles.manager.DagBundlesManager","filename":"manager.py","lineno":179} {"timestamp":"2026-02-06T09:37:42.407277Z","level":"info","event":"Filling up the DagBag from /opt/airflow/dags/literature/hep_create_dag.py","logger":"airflow.models.dagbag.DagBag","filename":"dagbag.py","lineno":593} {"timestamp":"2026-02-06T09:37:46.352446Z","level":"info","event":"AWS Connection (conn_id='s3_conn', conn_type='aws') credentials retrieved from login and password.","logger":"airflow.providers.amazon.aws.…
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