TakawaAkirayo opened a new issue, #41428:
URL: https://github.com/apache/airflow/issues/41428

   ### Apache Airflow version
   
   Other Airflow 2 version (please specify below)
   
   ### If "Other Airflow 2 version" selected, which one?
   
   2.7.2
   
   ### What happened?
   
   The scheduler job raise exception on database dead lock and exist.
   
   Traceback (most recent call last):
     File 
"/usr/local/lib/python3.8/dist-packages/airflow/jobs/scheduler_job_runner.py", 
line 845, in _execute
       self._run_scheduler_loop()
     File 
"/usr/local/lib/python3.8/dist-packages/airflow/jobs/scheduler_job_runner.py", 
line 991, in _run_scheduler_loop
       next_event = timers.run(blocking=False)
     File "/usr/lib/python3.8/sched.py", line 151, in run
       action(*argument, **kwargs)
     File 
"/usr/local/lib/python3.8/dist-packages/airflow/utils/event_scheduler.py", line 
37, in repeat
       action(*args, **kwargs)
     File "/usr/local/lib/python3.8/dist-packages/airflow/utils/session.py", 
line 77, in wrapper
       return func(*args, session=session, **kwargs)
     File 
"/usr/local/lib/python3.8/dist-packages/airflow/jobs/scheduler_job_runner.py", 
line 1680, in check_trigger_timeouts
       num_timed_out_tasks = session.execute(
     File "/usr/local/lib/python3.8/dist-packages/sqlalchemy/orm/session.py", 
line 1717, in execute
       result = conn._execute_20(statement, params or {}, execution_options)
     File "/usr/local/lib/python3.8/dist-packages/sqlalchemy/engine/base.py", 
line 1710, in _execute_20
       return meth(self, args_10style, kwargs_10style, execution_options)
     File "/usr/local/lib/python3.8/dist-packages/sqlalchemy/sql/elements.py", 
line 334, in _execute_on_connection
       return connection._execute_clauseelement(
     File "/usr/local/lib/python3.8/dist-packages/sqlalchemy/engine/base.py", 
line 1577, in _execute_clauseelement
       ret = self._execute_context(
     File "/usr/local/lib/python3.8/dist-packages/sqlalchemy/engine/base.py", 
line 1953, in _execute_context
       self._handle_dbapi_exception(
     File "/usr/local/lib/python3.8/dist-packages/sqlalchemy/engine/base.py", 
line 2134, in _handle_dbapi_exception
       util.raise_(
     File "/usr/local/lib/python3.8/dist-packages/sqlalchemy/util/compat.py", 
line 211, in raise_
       raise exception
     File "/usr/local/lib/python3.8/dist-packages/sqlalchemy/engine/base.py", 
line 1910, in _execute_context
       self.dialect.do_execute(
     File 
"/usr/local/lib/python3.8/dist-packages/sqlalchemy/engine/default.py", line 
736, in do_execute
       cursor.execute(statement, parameters)
     File "/usr/local/lib/python3.8/dist-packages/MySQLdb/cursors.py", line 
179, in execute
       res = self._query(mogrified_query)
     File "/usr/local/lib/python3.8/dist-packages/MySQLdb/cursors.py", line 
330, in _query
       db.query(q)
     File "/usr/local/lib/python3.8/dist-packages/MySQLdb/connections.py", line 
255, in query
       _mysql.connection.query(self, query)
   sqlalchemy.exc.OperationalError: (MySQLdb.OperationalError) (1213, 'Deadlock 
found when trying to get lock; try restarting transaction')
   [SQL: UPDATE task_instance SET state=%s, updated_at=%s, trigger_id=%s, 
next_method=%s, next_kwargs=%s WHERE task_instance.state = %s AND 
task_instance.trigger_timeout < %s]
   [parameters: (<TaskInstanceState.SCHEDULED: 'scheduled'>, 
datetime.datetime(2024, 8, 2, 13, 14, 22, 215659), None, '__fail__', '{"__var": 
{"error": "Trigger/execution timeout"}, "__type": "dict"}', 
<TaskInstanceState.DEFERRED: 'deferred'>, datetime.datetime(2024, 8, 2, 13, 14, 
22, 202306, tzinfo=Timezone('UTC')))]
   (Background on this error at: https://sqlalche.me/e/14/e3q8)
   [2024-08-02T06:14:22.258-0700] 
{kubernetes_executor.py:706} INFO - Shutting down Kubernetes 
executor
   
   ### What you think should happen instead?
   
   Retry should be applied to this deadlock, as the trigger already includes a 
retry on update. Both should handle the same scenario when updating the 
task_instance associated with the trigger.
   
   ### How to reproduce
   
   1. Set scheduler instance number >= 2, Triggerer instance number >= 2
   2. Trigger 20 DAG runs, each with at least one triggered job with runtime > 
1 mins
   
   ### Operating System
   
   Ubuntu
   
   ### Versions of Apache Airflow Providers
   
   _No response_
   
   ### Deployment
   
   Other
   
   ### Deployment details
   
   _No response_
   
   ### 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)
   


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