stijndehaes opened a new issue, #35272:
URL: https://github.com/apache/airflow/issues/35272
### Apache Airflow version
2.7.2
### What happened
When running a DAG with a timezone set to `Europe/Brussels` we noticed it
stopped being scheduled around the 29th, this is right around summer/winter
time change. The scheduled logs show:
```
test-airflow-scheduler-1 | [2023-10-30T12:49:52.330+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-29T04:00:00+00:00,
run_after=2023-10-29T05:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:49:53.474+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-28T21:45:00+00:00,
run_after=2023-10-29T04:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:49:54.569+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-29T04:00:00+00:00,
run_after=2023-10-29T05:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:49:55.665+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-28T21:45:00+00:00,
run_after=2023-10-29T04:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:49:56.031+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-29T04:00:00+00:00,
run_after=2023-10-29T05:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:49:57.133+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-28T21:45:00+00:00,
run_after=2023-10-29T04:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:49:57.454+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-29T04:00:00+00:00,
run_after=2023-10-29T05:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:49:58.584+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-28T21:45:00+00:00,
run_after=2023-10-29T04:00:00+00:00
test-airflow-scheduler-1 | <jemalloc>: MADV_DONTNEED does not work (memset
will be used instead)
test-airflow-scheduler-1 | <jemalloc>: (This is the expected behaviour if
you are running under QEMU)
test-airflow-scheduler-1 | [2023-10-30T12:49:59.553+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-29T04:00:00+00:00,
run_after=2023-10-29T05:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:50:00.667+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-28T21:45:00+00:00,
run_after=2023-10-29T04:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:50:01.774+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-29T04:00:00+00:00,
run_after=2023-10-29T05:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:50:02.580+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-28T21:45:00+00:00,
run_after=2023-10-29T04:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:50:02.956+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-29T04:00:00+00:00,
run_after=2023-10-29T05:00:00+00:00
test-airflow-webserver-1 | 127.0.0.1 - - [30/Oct/2023:12:50:03 +0000] "GET
/health HTTP/1.1" 200 318 "-" "curl/7.74.0"
test-airflow-scheduler-1 | [2023-10-30T12:50:04.063+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-28T21:45:00+00:00,
run_after=2023-10-29T04:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:50:05.167+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-29T04:00:00+00:00,
run_after=2023-10-29T05:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:50:06.271+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-28T21:45:00+00:00,
run_after=2023-10-29T04:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:50:07.382+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-29T04:00:00+00:00,
run_after=2023-10-29T05:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:50:07.702+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-28T21:45:00+00:00,
run_after=2023-10-29T04:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:50:08.811+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-29T04:00:00+00:00,
run_after=2023-10-29T05:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:50:09.671+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-28T21:45:00+00:00,
run_after=2023-10-29T04:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:50:10.793+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-29T04:00:00+00:00,
run_after=2023-10-29T05:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:50:11.894+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-28T21:45:00+00:00,
run_after=2023-10-29T04:00:00+00:00
test-airflow-scheduler-1 | [2023-10-30T12:50:12.813+0000] {dag.py:3722}
INFO - Setting next_dagrun for time-zone-issue to 2023-10-29T04:00:00+00:00,
run_after=2023-10-29T05:00:00+00:00
```
### What you think should happen instead
The dag should continue to be scheduled
### How to reproduce
Run the DAG attached below, I reproduced this case using the docker-compose
setup from the
[docs](https://airflow.apache.org/docs/apache-airflow/stable/howto/docker-compose/index.html).
```python
from airflow.decorators import task
import pendulum
from airflow.models import DAG
from datetime import timedelta
default_args = {
"depends_on_past": False,
"start_date": pendulum.datetime(year=2023, month=10, day=28,
tz="Europe/Brussels"),
"email": [],
"email_on_failure": False,
"email_on_retry": False,
"retries": 3,
"retry_delay": timedelta(minutes=5),
}
with DAG(
"time-zone-issue",
default_args=default_args,
max_active_runs=1,
schedule_interval="0,15,30,45 6-22 * * *",
) as dag:
@task(task_id="print_the_context")
def print_context(ds=None, **kwargs):
"""Print the Airflow context and ds variable from the context."""
print(ds)
return "finished!"
run_this = print_context()
```
### Operating System
MAC OS, also linux
### Versions of Apache Airflow Providers
Default ones included in docker-compose setup
### Deployment
Docker-Compose
### Deployment details
It also happens on a kubernetes cluster, the installation does not matter
### Anything else
At one point the DAG started scheduling again, but I can still reproduce the
case.
I am willing to create a PR but don't know where to start looking for this
### 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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