headincl0ud opened a new pull request, #50217:
URL: https://github.com/apache/airflow/pull/50217
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Apache Airflow version
2.10.2 (GCP Composer v2)
What happened?
During DAG execution, especially under out-of-capacity conditions, the
`start_date` and `end_date` fields may be missing. This causes the Airflow
Scheduler on GCP to fail during recovery, resulting in the following error:
```
File ".../airflow/timetables/simple.py, ... in data_interval_for_events"
"TypeError: '<' not supported between instances of 'datetime.datetime' and
'NoneType'"
```
What you think should happen instead?
The function should validate the presence of both start_date and end_date
before attempting to compute the minimum and maximum timestamps. Missing values
should be skipped to prevent scheduler crashes.
How to reproduce:
Create a DAG run entry in the Airflow metadata database with a NULL (empty)
start_date or end_date. When this DAG run is processed, the scheduler will
raise a TypeError.
---
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