vatsrahul1001 opened a new issue, #46580: URL: https://github.com/apache/airflow/issues/46580
### Apache Airflow version 3.0.0a1 ### If "Other Airflow 2 version" selected, which one? _No response_ ### What happened? DAGRUN is failing with Dynamic Mapped task in the `upstream_failed` state even though upstream task is in success state **Error in schedule logs** ``` [2025-02-08T05:18:20.469+0000] {scheduler_job_runner.py:744} INFO - Received executor event with state queued for task instance TaskInstanceKey(dag_id='context_ref', task_id='a_list', run_id='manual__2025-02-08T05:18:19.465557+00:00', try_number=1, map_index=-1) [2025-02-08T05:18:20.479+0000] {scheduler_job_runner.py:776} INFO - Setting external_id for <TaskInstance: context_ref.a_list manual__2025-02-08T05:18:19.465557+00:00 [queued]> to e229edfa-f569-4e19-af4e-32f9a4c5b303 [2025-02-08T05:18:22.141+0000] {taskmap.py:148} ERROR - Cannot expand '\x1b[1m<Mapped(_PythonDecoratedOperator): ref_context>\x1b[22m' for run manual__2025-02-08T05:18:19.465557+00:00; missing upstream values: ['num'] [2025-02-08T05:18:22.165+0000] {scheduler_job_runner.py:744} INFO - Received executor event with state success for task instance TaskInstanceKey(dag_id='context_ref', task_id='a_list', run_id='manual__2025-02-08T05:18:19.465557+00:00', try_number=1, map_index=-1) ``` ### What you think should happen instead? Dynamic mapped task DAG should execute fine as it used to be in AF2 ### How to reproduce Execute below DAG in with `3.0.0a2` **DAG** ``` from airflow import DAG from airflow.decorators import task from datetime import datetime @task def a_list(): return [3, 6, 9] @task def ref_context(num, **context): return num + context["ti"].map_index * 5 @task def assert_sum(nums, expect): print(nums) print(f"expecting sum: {' + '.join(map(str,nums))} == {expect}") print(sum(nums)) assert sum(nums) == expect with DAG( dag_id="context_ref", start_date=datetime(1970, 1, 1), schedule=None, tags=["taskmap"] ) as dag: assert_sum(ref_context.expand(num=a_list()), 33) ``` ### Operating System Linux ### Versions of Apache Airflow Providers _No response_ ### Deployment Other ### Deployment details _No response_ ### Anything else? _No response_ ### Are you willing to submit PR? - [ ] 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: commits-unsubscr...@airflow.apache.org.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org