Antalares opened a new issue, #72386:
URL: https://github.com/apache/airflow/issues/72386

   ### Description
   
   The Airflow 3 UI currently allows operators to manually mark a Task Instance 
as success or failed, but does not provide an option to mark it as skipped.
   
   ### Use case/motivation
   
   In the Airflow 3 UI, the Task Instance "Mark as" action only exposes:
    - Success
    - Failed
   
   As a result, SKIPPED is not available as a manual Task Instance action.
   
   ### Expected behavior
   
   The Task Instance "Mark as" action should provide:
    - Success
    - Failed
    - Skipped
   
   Selecting Skipped should set the selected Task Instance(s) to 
TaskInstanceState.SKIPPED, without executing the task.
   
   ### Use case
   
   During the manual recovery of a DAG run, an operator may decide that a 
particular task should not be executed for this run.
   
   For example:
   task_a  →  task_b  →  task_c
   If task_b should intentionally not run for this particular DAG run, the 
desired result is:
   task_a  → SUCCESS
   task_b  → SKIPPED
   task_c  → ...
   
   Marking task_b as SUCCESS is not equivalent.
   
   SUCCESS means that the task successfully executed, whereas SKIPPED records 
that the task was intentionally not executed.
   
   This distinction is important for:
    - accurately representing the execution history;
    - operational troubleshooting
    - downstream trigger_rule evaluation
    - depends_on_past
   
   Airflow's documentation explicitly treats skipped differently from success. 
For example, none_failed considers upstream tasks that are either successful or 
skipped as acceptable, while none_skipped explicitly rejects skipped upstream 
tasks. Therefore, replacing SKIPPED with SUCCESS can change DAG behavior.
   
   
   
   ### Related issues
   
   _No response_
   
   ### Are you willing to submit a 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: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]

Reply via email to