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Also if you want to take part in future discussions - please subscribe to the devlist, otherwise we have to moderate your messages (also community page tells you how to do it) On Fri, Nov 21, 2025 at 9:36 AM giant contend 0 <[email protected]> wrote: > > hi! > i'm updating my airflow to 3.1.3 to use new version you great app > > can you help me with problem, when i start my simple dag i catch error with > auth? > what i need to change on my docker-compose.yaml? > > may be it is bug? > > > > > airflow-apiserver-1 | INFO: 172.18.0.1:33156 - "GET > /api/v2/dags/mssql_operator_minimal2/dagRuns/manual__2025-11-21T07%3A07%3A37%2B00%3A00/hitlDetails?task_id=check_mssql > HTTP/1.1" 200 OK > airflow-apiserver-1 | INFO: 172.18.0.1:33202 - "GET > /api/v2/dags/mssql_operator_minimal2/dagRuns/manual__2025-11-21T07%3A07%3A37%2B00%3A00/taskInstances/check_mssql/logs/1?map_index=-1 > HTTP/1.1" 200 OK > airflow-apiserver-1 | INFO: 172.18.0.1:33204 - "GET > /ui/structure/structure_data?dag_id=mssql_operator_minimal2 HTTP/1.1" 200 OK > airflow-worker-1 | 2025-11-21T07:09:04.307702Z [warning ] Starting > call to 'airflow.sdk.api.client.Client.request', this is the 4th time calling > it. [airflow.sdk.api.client] loc=before.py:42 > airflow-apiserver-1 | INFO: 172.18.0.1:33214 - "GET > /ui/grid/structure/mssql_operator_minimal2?limit=10&order_by=-run_after > HTTP/1.1" 200 OK > airflow-apiserver-1 | INFO: 172.18.0.1:33228 - "GET > /ui/grid/ti_summaries/mssql_operator_minimal2/manual__2025-11-21T07%3A07%3A37%2B00%3A00 > HTTP/1.1" 200 OK > airflow-apiserver-1 | INFO: 172.18.0.1:33224 - "GET > /ui/grid/runs/mssql_operator_minimal2?limit=10&order_by=-run_after HTTP/1.1" > 200 OK > airflow-apiserver-1 | INFO: 172.18.0.1:33230 - "GET > /api/v2/dags/mssql_operator_minimal2/dagRuns/manual__2025-11-21T07%3A07%3A37%2B00%3A00/taskInstances/check_mssql/-1 > HTTP/1.1" 200 OK > airflow-apiserver-1 | INFO: 172.18.0.1:33246 - "GET > /api/v2/dags/mssql_operator_minimal2/dagRuns/manual__2025-11-21T07%3A07%3A37%2B00%3A00 > HTTP/1.1" 200 OK > airflow-apiserver-1 | INFO: 172.18.0.1:33254 - "GET > /api/v2/dags/mssql_operator_minimal2/dagRuns/manual__2025-11-21T07%3A07%3A37%2B00%3A00/hitlDetails?task_id=check_mssql > HTTP/1.1" 200 OK > airflow-apiserver-1 | INFO: 172.18.0.1:33260 - "GET > /api/v2/dags/mssql_operator_minimal2/dagRuns/manual__2025-11-21T07%3A07%3A37%2B00%3A00/taskInstances/check_mssql/logs/1?map_index=-1 > HTTP/1.1" 200 OK > airflow-worker-1 | 2025-11-21T07:09:06.083702Z [info ] Process > exited [supervisor] exit_code=-9 loc=supervisor.py:709 pid=88 > signal_sent=SIGKILL > airflow-worker-1 | 2025-11-21T07:09:06.095104Z [error ] Task > execute_workload[2548223d-ff74-4bea-96a2-a55e66d8510b] raised unexpected: > HTTPError("Server error '503 Service Unavailable' for url > 'http://airflow-apiserver:8080/execution/task-instances/019aa53e-a97f-76d7-ba38-d7fdd122df15/run'\nFor > more information check: > https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/503";) > [celery.app.trace] loc=trace.py:267 > airflow-worker-1 | Traceback (most recent call last): > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/celery/app/trace.py", line > 453, in trace_task > airflow-worker-1 | R = retval = fun(*args, **kwargs) > airflow-worker-1 | ^^^^^^^^^^^^^^^^^^^^ > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/celery/app/trace.py", line > 736, in __protected_call__ > airflow-worker-1 | return self.run(*args, **kwargs) > airflow-worker-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^ > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/airflow/providers/celery/executors/celery_executor_utils.py", > line 163, in execute_workload > airflow-worker-1 | supervise( > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/airflow/sdk/execution_time/supervisor.py", > line 1940, in supervise > airflow-worker-1 | process = ActivitySubprocess.start( > airflow-worker-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^ > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/airflow/sdk/execution_time/supervisor.py", > line 954, in start > airflow-worker-1 | proc._on_child_started(ti=what, > dag_rel_path=dag_rel_path, bundle_info=bundle_info) > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/airflow/sdk/execution_time/supervisor.py", > line 965, in _on_child_started > airflow-worker-1 | ti_context = > self.client.task_instances.start(ti.id, self.pid, start_date) > airflow-worker-1 | > ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/airflow/sdk/api/client.py", > line 215, in start > airflow-worker-1 | resp = > self.client.patch(f"task-instances/{id}/run", content=body.model_dump_json()) > airflow-worker-1 | > ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/httpx/_client.py", line > 1218, in patch > airflow-worker-1 | return self.request( > airflow-worker-1 | ^^^^^^^^^^^^^ > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/tenacity/__init__.py", > line 338, in wrapped_f > airflow-worker-1 | return copy(f, *args, **kw) > airflow-worker-1 | ^^^^^^^^^^^^^^^^^^^^ > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/tenacity/__init__.py", > line 477, in __call__ > airflow-worker-1 | do = self.iter(retry_state=retry_state) > airflow-worker-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/tenacity/__init__.py", > line 378, in iter > airflow-worker-1 | result = action(retry_state) > airflow-worker-1 | ^^^^^^^^^^^^^^^^^^^ > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/tenacity/__init__.py", > line 420, in exc_check > airflow-worker-1 | raise retry_exc.reraise() > airflow-worker-1 | ^^^^^^^^^^^^^^^^^^^ > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/tenacity/__init__.py", > line 187, in reraise > airflow-worker-1 | raise self.last_attempt.result() > airflow-worker-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^ > airflow-worker-1 | File > "/usr/python/lib/python3.12/concurrent/futures/_base.py", line 449, in result > airflow-worker-1 | return self.__get_result() > airflow-worker-1 | ^^^^^^^^^^^^^^^^^^^ > airflow-worker-1 | File > "/usr/python/lib/python3.12/concurrent/futures/_base.py", line 401, in > __get_result > airflow-worker-1 | raise self._exception > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/tenacity/__init__.py", > line 480, in __call__ > airflow-worker-1 | result = fn(*args, **kwargs) > airflow-worker-1 | ^^^^^^^^^^^^^^^^^^^ > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/airflow/sdk/api/client.py", > line 885, in request > airflow-worker-1 | return super().request(*args, **kwargs) > airflow-worker-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/httpx/_client.py", line > 825, in request > airflow-worker-1 | return self.send(request, auth=auth, > follow_redirects=follow_redirects) > airflow-worker-1 | > ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/httpx/_client.py", line > 914, in send > airflow-worker-1 | response = self._send_handling_auth( > airflow-worker-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^ > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/httpx/_client.py", line > 942, in _send_handling_auth > airflow-worker-1 | response = self._send_handling_redirects( > airflow-worker-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/httpx/_client.py", line > 999, in _send_handling_redirects > airflow-worker-1 | raise exc > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/httpx/_client.py", line > 982, in _send_handling_redirects > airflow-worker-1 | hook(response) > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/airflow/sdk/api/client.py", > line 186, in raise_on_4xx_5xx_with_note > airflow-worker-1 | return get_json_error(response) or > response.raise_for_status() > airflow-worker-1 | > ^^^^^^^^^^^^^^^^^^^^^^^^^^^ > airflow-worker-1 | File > "/home/airflow/.local/lib/python3.12/site-packages/httpx/_models.py", line > 829, in raise_for_status > airflow-worker-1 | raise HTTPStatusError(message, > request=request, response=self) > airflow-worker-1 | httpx.HTTPStatusError: Server error '503 Service > Unavailable' for url > 'http://airflow-apiserver:8080/execution/task-instances/019aa53e-a97f-76d7-ba38-d7fdd122df15/run' > airflow-worker-1 | For more information check: > https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/503 > airflow-worker-1 | Correlation-id=019aa53e-c698-793b-87ec-3f12da01ff86 > airflow-scheduler-1 | 2025-11-21T07:09:06.622899Z [info ] Received > executor event with state failed for task instance > TaskInstanceKey(dag_id='mssql_operator_minimal2', task_id='check_mssql', > run_id='manual__2025-11-21T07:07:37+00:00', try_number=1, map_index=-1) > [airflow.jobs.scheduler_job_runner.SchedulerJobRunner] > loc=scheduler_job_runner.py:818 > airflow-scheduler-1 | 2025-11-21T07:09:06.630745Z [info ] > TaskInstance Finished: dag_id=mssql_operator_minimal2, task_id=check_mssql, > run_id=manual__2025-11-21T07:07:37+00:00, map_index=-1, run_start_date=None, > run_end_date=None, run_duration=None, state=queued, > executor=CeleryExecutor(parallelism=32), executor_state=failed, try_number=1, > max_tries=0, pool=default_pool, queue=default, priority_weight=1, > operator=SQLExecuteQueryOperator, queued_dttm=2025-11-21 > 07:08:58.929696+00:00, scheduled_dttm=2025-11-21 > 07:08:58.916968+00:00,queued_by_job_id=2390, pid=None > [airflow.jobs.scheduler_job_runner.SchedulerJobRunner] > loc=scheduler_job_runner.py:864 > airflow-scheduler-1 | 2025-11-21T07:09:06.632601Z [error ] Executor > CeleryExecutor(parallelism=32) reported that the task instance <TaskInstance: > mssql_operator_minimal2.check_mssql manual__2025-11-21T07:07:37+00:00 > [queued]> finished with state failed, but the task instance's state attribute > is queued. Learn more: > https://airflow.apache.org/docs/apache-airflow/stable/troubleshooting.html#task-state-changed-externally > [airflow.task] loc=taskinstance.py:1507 > airflow-scheduler-1 | 2025-11-21T07:09:06.635870Z [info ] Marking > task as FAILED. dag_id=mssql_operator_minimal2, task_id=check_mssql, > run_id=manual__2025-11-21T07:07:37+00:00, logical_date=20251121T070737, > start_date=, end_date=20251121T070906 [airflow.models.taskinstance] > loc=taskinstance.py:1597 > airflow-dag-processor-1 | 2025-11-21T07:09:07.131382Z [info ] Not time > to refresh bundle dags-folder > [airflow.dag_processing.manager.DagFileProcessorManager] loc=manager.py:550 > airflow-scheduler-1 | 2025-11-21T07:09:07.664201Z [info ] Marking > run <DagRun mssql_operator_minimal2 @ 2025-11-21 07:07:37+00:00: > manual__2025-11-21T07:07:37+00:00, state:running, queued_at: 2025-11-21 > 07:08:58.611041+00:00. run_type: manual> failed > [airflow.models.dagrun.DagRun] loc=dagrun.py:1171 > airflow-scheduler-1 | 2025-11-21T07:09:07.664416Z [info ] DagRun > Finished: dag_id=mssql_operator_minimal2, logical_date=2025-11-21 > 07:07:37+00:00, run_id=manual__2025-11-21T07:07:37+00:00, > run_start_date=2025-11-21 07:08:58.900946+00:00, run_end_date=2025-11-21 > 07:09:07.664341+00:00, run_duration=8.763395, state=failed, run_type=manual, > data_interval_start=2025-11-21 07:07:37+00:00, data_interval_end=2025-11-21 > 07:07:37+00:00, [airflow.models.dagrun.DagRun] loc=dagrun.py:1274 > airflow-apiserver-1 | INFO: 172.18.0.1:33290 - "GET > /ui/grid/ti_summaries/mssql_operator_minimal2/manual__2025-11-21T07%3A07%3A37%2B00%3A00 > HTTP/1.1" 200 OK > > --------------------------------------------------------------------- > To unsubscribe, e-mail: [email protected] > For additional commands, e-mail: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
