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Posted to commits@airflow.apache.org by "ahipp13 (via GitHub)" <gi...@apache.org> on 2024/08/01 13:58:08 UTC

Re: [I] Kubernetes Executor leaving pods in a "Running" state after a task is completed [airflow]

ahipp13 commented on issue #40957:
URL: https://github.com/apache/airflow/issues/40957#issuecomment-2263146206

   Another update for anybody that sees this, tried to look at pod and scheduler logs combined in our Splunk instance and this is what I found:
   
   For a task that completes and closes normally, the "kubernetes_executor_utils" will log that it has succeeded, like so:
   
   ```
   2024-08-01T08:21:01.528695415-05:00 stdout F [2024-08-01T13:21:01.528+0000] {taskinstance.py:1206} INFO - Marking task as SUCCESS. dag_id=DAG_ID, task_id=delete_data, run_id=scheduled__2024-08-01T13:10:00+00:00, execution_date=20240801T131000, start_date=20240801T132059, end_date=20240801T132101
   
   2024-08-01T08:21:01.587171193-05:00 stdout F [2024-08-01T13:21:01.586+0000] {local_task_job_runner.py:240} INFO - Task exited with return code 0
   
   2024-08-01T08:21:01.611141571-05:00 stdout F [2024-08-01T13:21:01.610+0000] {taskinstance.py:3503} INFO - 1 downstream tasks scheduled from follow-on schedule check
   
   2024-08-01T08:21:01.612627302-05:00 stdout F [2024-08-01T13:21:01.612+0000] {local_task_job_runner.py:222} INFO - ::endgroup::
   
   2024-08-01T08:21:01.703212706-05:00 stdout F [2024-08-01T13:21:01.701+0000] {base.py:84} INFO - Using connection ID 'CONN' for task execution.
   
   2024-08-01T08:21:01.924805315-05:00 stdout F [2024-08-01T13:21:01.923+0000] {get_token_mixin.py:104} INFO - ClientSecretCredential.get_token succeeded
   
   2024-08-01T08:21:02.968331016-05:00 stdout F [2024-08-01T13:21:02.967+0000] {kubernetes_executor_utils.py:299} INFO - Event: POD_NAME is Running, annotations: <omitted>
   
   2024-08-01T08:21:04.525216578-05:00 stdout F [2024-08-01T13:21:04.524+0000] {kubernetes_executor_utils.py:284} INFO - Event: POD_NAME Succeeded, annotations: <omitted>
   ```
   
   For a task that stays in a "Running" state, the kubernetes_executor_utils does not say it succeed and keeps saying it is "Running" even though the task gets marked as succeeded and returns with an exit code of 0:
   
   ```
   2024-07-31T23:50:25.538069838-05:00 stdout F [2024-08-01T04:50:25.537+0000] {base.py:294} INFO - Success criteria met. Exiting.
   
   2024-07-31T23:50:25.553145453-05:00 stdout F [2024-08-01T04:50:25.552+0000] {taskinstance.py:1206} INFO - Marking task as SUCCESS. dag_id=secplat_dev_delete_data_alerts, task_id=http_sensor_check, run_id=scheduled__2024-08-01T04:40:00+00:00, execution_date=20240801T044000, start_date=20240801T045025, end_date=20240801T045025
   
   2024-07-31T23:50:25.578659388-05:00 stdout F [2024-08-01T04:50:25.577+0000] {local_task_job_runner.py:240} INFO - Task exited with return code 0
   
   2024-07-31T23:50:25.592799182-05:00 stdout F [2024-08-01T04:50:25.592+0000] {local_task_job_runner.py:222} INFO - ::endgroup::
   
   2024-07-31T23:50:25.683516859-05:00 stdout F [2024-08-01T04:50:25.681+0000] {base.py:84} INFO - Using connection ID 'edw_az_conn' for task execution.
   
   2024-07-31T23:50:25.985346073-05:00 stdout F [2024-08-01T04:50:25.984+0000] {get_token_mixin.py:104} INFO - ClientSecretCredential.get_token succeeded
   
   2024-07-31T23:52:30.827037969-05:00 stdout F [2024-08-01T04:52:30.826+0000] {kubernetes_executor_utils.py:299} INFO - Event: secplat-dev-delete-data-alerts-http-sensor-check-179jgg3i is Running, annotations: <omitted>
   (This message goes on and on and on)
   ```
   
   So my question is, why randomly does the kubernetes_executor_utils not mark the task as succeeded? @eladkal Any tips on more debugging steps I can take? Really just don't get why this happens randomly. If I only have 1 scheduler up I wouldn't think it is a database problem


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