shahar1 opened a new issue, #44245: URL: https://github.com/apache/airflow/issues/44245
### Apache Airflow version 2.10.3 ### If "Other Airflow 2 version" selected, which one? _No response_ ### What happened? At least in the classic UI, when a task gets expanded [dynamically](https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/dynamic-task-mapping.html), any retried failed task makes its other stats disappear. ### What you think should happen instead? _No response_ ### How to reproduce ```python import random from datetime import datetime from airflow import DAG from airflow.operators.python import PythonOperator def random_fail_task(task_id): if random.random() < 0.1: # 10% chance of failure raise Exception(f"Task {task_id} failed") print(f"Task {task_id} succeeded") def all_success(task_id): print(f"Task {task_id} succeeded") with DAG( dag_id='dynamic_task_expansion', start_date=datetime(2023, 1, 1), schedule_interval=None, catchup=False, ) as dag: tasks = PythonOperator.partial( task_id='task', ## Uncoment below for the second coherence check # retries=0, python_callable=random_fail_task, # <- Change to all_success for first coherence checks ).expand(op_args=[[i] for i in range(100)]) ``` **Coherence checks** 1. When replacing `random_fail_task` with `random_all_success_task `, we get the exact number of tasks, all succesful (100):  2. When we apply `retries=0` with `random_fail_task` the total number of tasks (succesful+failed) is once again 100:  ** Reproduction** 1. When running the task - about 10% of the mapped tasks fail and are up for retry:  2. When the failed tasks are triggered for re-run, the other tasks previously marked as successful/failed disappear:  3. And finally we're left with only 1 task:  --- ### Operating System Linux ### Versions of Apache Airflow Providers _No response_ ### Deployment Google Cloud Composer ### Deployment details _No response_ ### Anything else? _No response_ ### 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) -- 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]
