Prometheus3375 opened a new issue, #66726:
URL: https://github.com/apache/airflow/issues/66726
### Under which category would you file this issue?
Airflow Core
### Apache Airflow version
3.2.1
### What happened and how to reproduce it?
# Steps to reproduce
1. Create Dockerfile with the contents below:
```dockerfile
FROM apache/airflow:slim-3.2.1-python3.12
ENV AIRFLOW_HOME=/opt/airflow
ENV PYTHONUTF8=1
ENV PYTHONPATH=/opt/airflow
USER airflow
EXPOSE 8080
ENTRYPOINT ["bash", "-c", "airflow db migrate && exec airflow standalone"]
```
2. Create directory `dags` with `test.py` as follows:
```
from datetime import timedelta
from typing import Unpack
from airflow import DAG
from airflow.sdk import Context, task_group
from airflow.sdk.definitions.decorators import task
with DAG(
dag_id="test_dag",
schedule=timedelta(days=1),
) as dag:
@task
def test_task1(**context: Unpack[Context]) -> list[dict[str, int]]:
return [{'other': 1}, {'other': 2}, {'other': 3}]
@task_group
def test_group(data: int, other: int) -> None:
@task
def t1(data: int, other: int, **context: Unpack[Context]) ->
list[int]:
return [data, other]
t1(data, other)
g = test_group.partial(data=2).expand_kwargs(test_task1())
```
3. Build image from the dockerfile: `docker build -t test-airflow .`.
4. Run container: `docker run --name airflow-test -p 8080:8080 -v
./dags:/opt/airflow/dags -d test-airflow`. Note: on Windows use `-v
.\dags:/opt/airflow/dags` instead.
5. In the container logs get the password for user `admin`.
6. Once Airflow is started, open any API client.
7. Get auth token:
```
POST http://localhost:8080/auth/token
{
"username": "admin",
"password": "password from logs"
}
```
8. Create backfill for `test_dag`. Do not forget to add Bearer Token to
headers:
```
POST http://localhost:8080/api/v2/backfills
{
"dag_id": "test_dag",
"from_date": "2025-03-01",
"to_date": "2025-04-01",
"run_backwards": false,
"dag_run_conf": {},
"reprocess_behavior": "none",
"max_active_runs": 3
}
```
# Expected result
Request from step 8 returns JSON with the info about created backfill.
# Actual result
Request from step 8 returns HTTP status code 500 (Internal Server Error).
However, backfill is successfully created as per `GET
http://localhost:8080/api/v2/backfills?dag_id=test_dag`
Container logs about the error:
```
api-server | 2026-05-11T17:31:18.318524Z [info ] creating dag run
[airflow.serialization.definitions.dag] loc=dag.py:526
logical_date=DateTime(2025, 3, 1, 0, 0, 0, tzinfo=Timezone('UTC'))
partition_key=None run_after=DateTime(2025, 3, 1, 0, 0, 0,
tzinfo=Timezone('UTC')) run_id=backfill__2025-03-01T00:00:00+00:00
api-server | 2026-05-11T17:31:18.419695Z [info ] Created backfill Dag
run. [airflow.models.backfill] backfill_id=1 dag_id=test_dag
info=DagRunInfo(run_after=DateTime(2025, 3, 1, 0, 0, 0,
tzinfo=Timezone('UTC')), data_interval=DataInterval(start=DateTime(2025, 3, 1,
0, 0, 0, tzinfo=Timezone('UTC')), end=DateTime(2025, 3, 1, 0, 0, 0,
tzinfo=Timezone('UTC'))), partition_date=None, partition_key=None)
loc=backfill.py:690
api-server | 2026-05-11T17:31:18.421520Z [info ] creating dag run
[airflow.serialization.definitions.dag] loc=dag.py:526
logical_date=DateTime(2025, 3, 2, 0, 0, 0, tzinfo=Timezone('UTC'))
partition_key=None run_after=DateTime(2025, 3, 2, 0, 0, 0,
tzinfo=Timezone('UTC')) run_id=backfill__2025-03-02T00:00:00+00:00
api-server | 2026-05-11T17:31:18.497663Z [info ] Created backfill Dag
run. [airflow.models.backfill] backfill_id=1 dag_id=test_dag
info=DagRunInfo(run_after=DateTime(2025, 3, 2, 0, 0, 0,
tzinfo=Timezone('UTC')), data_interval=DataInterval(start=DateTime(2025, 3, 2,
0, 0, 0, tzinfo=Timezone('UTC')), end=DateTime(2025, 3, 2, 0, 0, 0,
tzinfo=Timezone('UTC'))), partition_date=None, partition_key=None)
loc=backfill.py:690
api-server | 2026-05-11T17:31:18.499467Z [info ] creating dag run
[airflow.serialization.definitions.dag] loc=dag.py:526
logical_date=DateTime(2025, 3, 3, 0, 0, 0, tzinfo=Timezone('UTC'))
partition_key=None run_after=DateTime(2025, 3, 3, 0, 0, 0,
tzinfo=Timezone('UTC')) run_id=backfill__2025-03-03T00:00:00+00:00
api-server | 2026-05-11T17:31:18.661214Z [info ] Created backfill Dag
run. [airflow.models.backfill] backfill_id=1 dag_id=test_dag
info=DagRunInfo(run_after=DateTime(2025, 3, 3, 0, 0, 0,
tzinfo=Timezone('UTC')), data_interval=DataInterval(start=DateTime(2025, 3, 3,
0, 0, 0, tzinfo=Timezone('UTC')), end=DateTime(2025, 3, 3, 0, 0, 0,
tzinfo=Timezone('UTC'))), partition_date=None, partition_key=None)
loc=backfill.py:690
api-server | 2026-05-11T17:31:18.663197Z [info ] creating dag run
[airflow.serialization.definitions.dag] loc=dag.py:526
logical_date=DateTime(2025, 3, 4, 0, 0, 0, tzinfo=Timezone('UTC'))
partition_key=None run_after=DateTime(2025, 3, 4, 0, 0, 0,
tzinfo=Timezone('UTC')) run_id=backfill__2025-03-04T00:00:00+00:00
api-server | 2026-05-11T17:31:19.260954Z [info ] Created backfill Dag
run. [airflow.models.backfill] backfill_id=1 dag_id=test_dag
info=DagRunInfo(run_after=DateTime(2025, 3, 4, 0, 0, 0,
tzinfo=Timezone('UTC')), data_interval=DataInterval(start=DateTime(2025, 3, 4,
0, 0, 0, tzinfo=Timezone('UTC')), end=DateTime(2025, 3, 4, 0, 0, 0,
tzinfo=Timezone('UTC'))), partition_date=None, partition_key=None)
loc=backfill.py:690
api-server | 2026-05-11T17:31:19.262727Z [info ] creating dag run
[airflow.serialization.definitions.dag] loc=dag.py:526
logical_date=DateTime(2025, 3, 5, 0, 0, 0, tzinfo=Timezone('UTC'))
partition_key=None run_after=DateTime(2025, 3, 5, 0, 0, 0,
tzinfo=Timezone('UTC')) run_id=backfill__2025-03-05T00:00:00+00:00
api-server | 2026-05-11T17:31:19.962730Z [info ] Created backfill Dag
run. [airflow.models.backfill] backfill_id=1 dag_id=test_dag
info=DagRunInfo(run_after=DateTime(2025, 3, 5, 0, 0, 0,
tzinfo=Timezone('UTC')), data_interval=DataInterval(start=DateTime(2025, 3, 5,
0, 0, 0, tzinfo=Timezone('UTC')), end=DateTime(2025, 3, 5, 0, 0, 0,
tzinfo=Timezone('UTC'))), partition_date=None, partition_key=None)
loc=backfill.py:690
api-server | 2026-05-11T17:31:19.964579Z [info ] creating dag run
[airflow.serialization.definitions.dag] loc=dag.py:526
logical_date=DateTime(2025, 3, 6, 0, 0, 0, tzinfo=Timezone('UTC'))
partition_key=None run_after=DateTime(2025, 3, 6, 0, 0, 0,
tzinfo=Timezone('UTC')) run_id=backfill__2025-03-06T00:00:00+00:00
api-server | 2026-05-11T17:31:20.098439Z [info ] Created backfill Dag
run. [airflow.models.backfill] backfill_id=1 dag_id=test_dag
info=DagRunInfo(run_after=DateTime(2025, 3, 6, 0, 0, 0,
tzinfo=Timezone('UTC')), data_interval=DataInterval(start=DateTime(2025, 3, 6,
0, 0, 0, tzinfo=Timezone('UTC')), end=DateTime(2025, 3, 6, 0, 0, 0,
tzinfo=Timezone('UTC'))), partition_date=None, partition_key=None)
loc=backfill.py:690
api-server | 2026-05-11T17:31:20.100228Z [info ] creating dag run
[airflow.serialization.definitions.dag] loc=dag.py:526
logical_date=DateTime(2025, 3, 7, 0, 0, 0, tzinfo=Timezone('UTC'))
partition_key=None run_after=DateTime(2025, 3, 7, 0, 0, 0,
tzinfo=Timezone('UTC')) run_id=backfill__2025-03-07T00:00:00+00:00
api-server | 2026-05-11T17:31:20.238051Z [info ] Created backfill Dag
run. [airflow.models.backfill] backfill_id=1 dag_id=test_dag
info=DagRunInfo(run_after=DateTime(2025, 3, 7, 0, 0, 0,
tzinfo=Timezone('UTC')), data_interval=DataInterval(start=DateTime(2025, 3, 7,
0, 0, 0, tzinfo=Timezone('UTC')), end=DateTime(2025, 3, 7, 0, 0, 0,
tzinfo=Timezone('UTC'))), partition_date=None, partition_key=None)
loc=backfill.py:690
api-server | 2026-05-11T17:31:20.239764Z [info ] creating dag run
[airflow.serialization.definitions.dag] loc=dag.py:526
logical_date=DateTime(2025, 3, 8, 0, 0, 0, tzinfo=Timezone('UTC'))
partition_key=None run_after=DateTime(2025, 3, 8, 0, 0, 0,
tzinfo=Timezone('UTC')) run_id=backfill__2025-03-08T00:00:00+00:00
api-server | 2026-05-11T17:31:20.311646Z [info ] Created backfill Dag
run. [airflow.models.backfill] backfill_id=1 dag_id=test_dag
info=DagRunInfo(run_after=DateTime(2025, 3, 8, 0, 0, 0,
tzinfo=Timezone('UTC')), data_interval=DataInterval(start=DateTime(2025, 3, 8,
0, 0, 0, tzinfo=Timezone('UTC')), end=DateTime(2025, 3, 8, 0, 0, 0,
tzinfo=Timezone('UTC'))), partition_date=None, partition_key=None)
loc=backfill.py:690
api-server | 2026-05-11T17:31:20.313395Z [info ] creating dag run
[airflow.serialization.definitions.dag] loc=dag.py:526
logical_date=DateTime(2025, 3, 9, 0, 0, 0, tzinfo=Timezone('UTC'))
partition_key=None run_after=DateTime(2025, 3, 9, 0, 0, 0,
tzinfo=Timezone('UTC')) run_id=backfill__2025-03-09T00:00:00+00:00
api-server | 2026-05-11T17:31:20.318924Z [info ] request finished
[http.access] client_addr=172.17.0.1:37540 duration_us=2576580
loc=http_access_log.py:98 method=POST path=/api/v2/backfills query=
status_code=500
api-server | 2026-05-11T17:31:20.319456Z [error ] Exception in ASGI
application
api-server | [uvicorn.error] loc=httptools_impl.py:425
api-server | Traceback (most recent call last):
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/engine/base.py",
line 1967, in _exec_single_context
api-server | self.dialect.do_execute(
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/engine/default.py",
line 952, in do_execute
api-server | cursor.execute(statement, parameters)
api-server | sqlite3.OperationalError: database is locked
api-server | The above exception was the direct cause of the following
exception:
api-server | Traceback (most recent call last):
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/uvicorn/protocols/http/httptools_impl.py",
line 420, in run_asgi
api-server | result = await app( # type: ignore[func-returns-value]
api-server | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/fastapi/applications.py",
line 1159, in __call__
api-server | await super().__call__(scope, receive, send)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/applications.py",
line 107, in __call__
api-server | await self.middleware_stack(scope, receive, send)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/middleware/errors.py",
line 186, in __call__
api-server | raise exc
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/middleware/errors.py",
line 164, in __call__
api-server | await self.app(scope, receive, _send)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/airflow/api_fastapi/common/http_access_log.py",
line 83, in __call__
api-server | await self.app(scope, receive, capture_send)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/middleware/gzip.py",
line 29, in __call__
api-server | await responder(scope, receive, send)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/middleware/gzip.py",
line 130, in __call__
api-server | await super().__call__(scope, receive, send)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/middleware/gzip.py",
line 46, in __call__
api-server | await self.app(scope, receive, self.send_with_compression)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/middleware/base.py",
line 191, in __call__
api-server | with recv_stream, send_stream, collapse_excgroups():
api-server | ^^^^^^^^^^^^^^^^^^^^
api-server | File "/usr/python/lib/python3.12/contextlib.py", line 158, in
__exit__
api-server | self.gen.throw(value)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/_utils.py", line
87, in collapse_excgroups
api-server | raise exc
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/middleware/base.py",
line 193, in __call__
api-server | response = await self.dispatch_func(request, call_next)
api-server | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/airflow/api_fastapi/auth/middlewares/refresh_token.py",
line 61, in dispatch
api-server | response = await call_next(request)
api-server | ^^^^^^^^^^^^^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/middleware/base.py",
line 168, in call_next
api-server | raise app_exc from app_exc.__cause__ or app_exc.__context__
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/middleware/base.py",
line 144, in coro
api-server | await self.app(scope, receive_or_disconnect, send_no_error)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/middleware/exceptions.py",
line 63, in __call__
api-server | await wrap_app_handling_exceptions(self.app, conn)(scope,
receive, send)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/_exception_handler.py",
line 53, in wrapped_app
api-server | raise exc
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/_exception_handler.py",
line 42, in wrapped_app
api-server | await app(scope, receive, sender)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/fastapi/middleware/asyncexitstack.py",
line 18, in __call__
api-server | await self.app(scope, receive, send)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/routing.py", line
716, in __call__
api-server | await self.middleware_stack(scope, receive, send)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/routing.py", line
736, in app
api-server | await route.handle(scope, receive, send)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/routing.py", line
290, in handle
api-server | await self.app(scope, receive, send)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/fastapi/routing.py", line
134, in app
api-server | await wrap_app_handling_exceptions(app, request)(scope,
receive, send)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/_exception_handler.py",
line 53, in wrapped_app
api-server | raise exc
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/_exception_handler.py",
line 42, in wrapped_app
api-server | await app(scope, receive, sender)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/fastapi/routing.py", line
120, in app
api-server | response = await f(request)
api-server | ^^^^^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/fastapi/routing.py", line
674, in app
api-server | raw_response = await run_endpoint_function(
api-server | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/fastapi/routing.py", line
330, in run_endpoint_function
api-server | return await run_in_threadpool(dependant.call, **values)
api-server | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/starlette/concurrency.py",
line 32, in run_in_threadpool
api-server | return await anyio.to_thread.run_sync(func)
api-server | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/anyio/to_thread.py", line
63, in run_sync
api-server | return await get_async_backend().run_sync_in_worker_thread(
api-server | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/anyio/_backends/_asyncio.py",
line 2518, in run_sync_in_worker_thread
api-server | return await future
api-server | ^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/anyio/_backends/_asyncio.py",
line 1002, in run
api-server | result = context.run(func, *args)
api-server | ^^^^^^^^^^^^^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/airflow/api_fastapi/core_api/routes/public/backfills.py",
line 233, in create_backfill
api-server | backfill_obj = _create_backfill(
api-server | ^^^^^^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/airflow/models/backfill.py",
line 627, in _create_backfill
api-server | _create_runs_non_partitioned(
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/airflow/models/backfill.py",
line 679, in _create_runs_non_partitioned
api-server | _create_backfill_dag_run_non_partitioned(
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/airflow/models/backfill.py",
line 377, in _create_backfill_dag_run_non_partitioned
api-server | dr = dag.create_dagrun(
api-server | ^^^^^^^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/airflow/utils/session.py",
line 98, in wrapper
api-server | return func(*args, **kwargs)
api-server | ^^^^^^^^^^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/airflow/serialization/definitions/dag.py",
line 572, in create_dagrun
api-server | orm_dagrun = _create_orm_dagrun(
api-server | ^^^^^^^^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/airflow/utils/session.py",
line 98, in wrapper
api-server | return func(*args, **kwargs)
api-server | ^^^^^^^^^^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/airflow/serialization/definitions/dag.py",
line 1196, in _create_orm_dagrun
api-server | session.flush()
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/orm/session.py",
line 4331, in flush
api-server | self._flush(objects)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/orm/session.py",
line 4466, in _flush
api-server | with util.safe_reraise():
api-server | ^^^^^^^^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/util/langhelpers.py",
line 121, in __exit__
api-server | raise exc_value.with_traceback(exc_tb)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/orm/session.py",
line 4427, in _flush
api-server | flush_context.execute()
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/orm/unitofwork.py",
line 466, in execute
api-server | rec.execute(self)
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/orm/unitofwork.py",
line 642, in execute
api-server | util.preloaded.orm_persistence.save_obj(
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/orm/persistence.py",
line 93, in save_obj
api-server | _emit_insert_statements(
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/orm/persistence.py",
line 1233, in _emit_insert_statements
api-server | result = connection.execute(
api-server | ^^^^^^^^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/engine/base.py",
line 1419, in execute
api-server | return meth(
api-server | ^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/sql/elements.py",
line 527, in _execute_on_connection
api-server | return connection._execute_clauseelement(
api-server | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/engine/base.py",
line 1641, in _execute_clauseelement
api-server | ret = self._execute_context(
api-server | ^^^^^^^^^^^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/engine/base.py",
line 1846, in _execute_context
api-server | return self._exec_single_context(
api-server | ^^^^^^^^^^^^^^^^^^^^^^^^^^
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/engine/base.py",
line 1986, in _exec_single_context
api-server | self._handle_dbapi_exception(
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/engine/base.py",
line 2363, in _handle_dbapi_exception
api-server | raise sqlalchemy_exception.with_traceback(exc_info[2]) from e
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/engine/base.py",
line 1967, in _exec_single_context
api-server | self.dialect.do_execute(
api-server | File
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/engine/default.py",
line 952, in do_execute
api-server | cursor.execute(statement, parameters)
api-server | sqlalchemy.exc.OperationalError: (sqlite3.OperationalError)
database is locked
api-server | [SQL: INSERT INTO dag_run (dag_id, queued_at, logical_date,
start_date, end_date, state, run_id, creating_job_id, run_type, triggered_by,
triggering_user_name, conf, data_interval_start, data_interval_end, run_after,
last_scheduling_decision, log_template_id, created_at, updated_at,
clear_number, backfill_id, bundle_version, scheduled_by_job_id,
context_carrier, created_dag_version_id, partition_key, partition_date) VALUES
(?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?,
?) RETURNING id, span_status]
api-server | [parameters: ('test_dag', '2026-05-11 17:31:20.315260',
'2025-03-09 00:00:00.000000', None, None, <DagRunState.QUEUED: 'queued'>,
'backfill__2025-03-09T00:00:00+00:00', None, <DagRunType.BACKFILL_JOB:
'backfill'>, 'BACKFILL', 'admin', '{}', '2025-03-09 00:00:00.000000',
'2025-03-09 00:00:00.000000', '2025-03-09 00:00:00.000000', None, 2,
'2026-05-11 17:31:20.316700', '2026-05-11 17:31:20.316707', 0, 1, None, None,
'{"__var": {"traceparent":
"00-50eac562494f9c159f72cbe7bba1e998-f2fd18493b34ae19-01"}, "__type": "dict"}',
'019e1814a7a5788fbd9faf5352fc16cb', None, None)]
api-server | (Background on this error at: https://sqlalche.me/e/20/e3q8)
```
Basically, API just fails to return the JSON to the user.
### What you think should happen instead?
_No response_
### Operating System
_No response_
### Deployment
None
### Apache Airflow Provider(s)
_No response_
### Versions of Apache Airflow Providers
_No response_
### Official Helm Chart version
Not Applicable
### Kubernetes Version
_No response_
### Helm Chart configuration
_No response_
### Docker Image customizations
_No response_
### Anything else?
_No response_
### Are you willing to submit PR?
- [ ] 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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