phanikumv commented on issue #31723:
URL: https://github.com/apache/airflow/issues/31723#issuecomment-1579116014
I have tried with the below DAG and I didnt observe any issue with the
scheduler.
```
from datetime import datetime
from airflow import DAG
from airflow.decorators import task
with DAG("future", max_active_runs=1, schedule_interval="* * * * *",
start_date=datetime(2100, 1, 1)):
@task
def hello():
return "Hello"
hello()
```
Scheduler logs:
```
2023-06-06 22:14:05 [2023-06-06 16:44:05,515] {dagrun.py:658} INFO - DagRun
Finished: dag_id=future, execution_date=2023-06-06 16:44:04.548710+00:00,
run_id=manual__2023-06-06T16:44:04.548710+00:00, run_start_date=2023-06-06
16:44:05.504191+00:00, run_end_date=2023-06-06 16:44:05.515257+00:00,
run_duration=0.011066, state=success, external_trigger=True, run_type=manual,
data_interval_start=2023-06-06 16:43:00+00:00, data_interval_end=2023-06-06
16:44:00+00:00, dag_hash=d73b9d8cf712d028cc0aed24a86cebb5
2023-06-06 22:14:05 [2023-06-06 16:44:05,518] {dag.py:3452} INFO - Setting
next_dagrun for future to 2100-01-01T00:00:00+00:00,
run_after=2100-01-01T00:01:00+00:00
2023-06-06 22:15:48 [2023-06-06 16:45:48,223] {dagrun.py:607} INFO - Marking
run <DagRun future @ 2023-06-06 16:45:47.789604+00:00:
manual__2023-06-06T16:45:47.789604+00:00, state:running, queued_at: 2023-06-06
16:45:47.794337+00:00. externally triggered: True> successful
2023-06-06 22:15:48 [2023-06-06 16:45:48,223] {dagrun.py:658} INFO - DagRun
Finished: dag_id=future, execution_date=2023-06-06 16:45:47.789604+00:00,
run_id=manual__2023-06-06T16:45:47.789604+00:00, run_start_date=2023-06-06
16:45:48.219590+00:00, run_end_date=2023-06-06 16:45:48.223907+00:00,
run_duration=0.004317, state=success, external_trigger=True, run_type=manual,
data_interval_start=2023-06-06 16:44:00+00:00, data_interval_end=2023-06-06
16:45:00+00:00, dag_hash=9629db80aa2766b6e170687b97e6015f
2023-06-06 22:15:48 [2023-06-06 16:45:48,225] {dag.py:3452} INFO - Setting
next_dagrun for future to 2100-01-01T00:00:00+00:00,
run_after=2100-01-01T00:01:00+00:00
2023-06-06 22:16:58 [2023-06-06 16:46:58,272] {scheduler_job.py:1413} INFO -
Resetting orphaned tasks for active dag runs
```
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]