amoghrajesh opened a new pull request, #45282:
URL: https://github.com/apache/airflow/pull/45282
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PR: #45106 provides a machinery to handle "failure" / "retry" states in the
execution API server itself.
The aim of this PR is to extend to the "SystemExit" exception if thrown by
tasks.
## Testing results
### DAG used (with and without retries):
```
import sys
from time import sleep
from airflow import DAG
from airflow.providers.standard.operators.python import PythonOperator
def print_hello():
sleep(10)
print("exiting with code 10")
exit(10)
with DAG(
dag_id="exitcode",
schedule=None,
catchup=False,
tags=["demo"],
) as dag:
hello_task = PythonOperator(
task_id="exitcode-task",
retries=2,
python_callable=print_hello,
)
```
### Behaviour in legacy (non task sdk):
With retries configured
Without retries configured
<img width="1719" alt="image"
src="https://github.com/user-attachments/assets/76657e18-a3ec-47ef-b32f-eca351f8b7a3";
/>
<img width="1719" alt="image"
src="https://github.com/user-attachments/assets/e66d4cb9-dbf0-468f-98cd-584128bd72ab";
/>
### Behaviour in task sdk:
With retries configured
Without retries configured
<img width="1719" alt="image"
src="https://github.com/user-attachments/assets/b94be24e-75c4-4cbc-8aab-f020a4dc0a45";
/>
<img width="1719" alt="image"
src="https://github.com/user-attachments/assets/00797a5a-5954-418b-b6b4-dcc5f9f61ff0";
/>
<!-- Please keep an empty line above the dashes. -->
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