dosubot[bot] commented on issue #33605:
URL: https://github.com/apache/superset/issues/33605#issuecomment-2916472863

   <!-- Answer -->
   The error you're seeing—`StaleDataError: DELETE statement on table 
'tagged_object' expected to delete 2 row(s); Only 4 were matched`—indicates a 
data consistency issue in the `tagged_object` table. This happens when 
SQLAlchemy expects to delete a certain number of rows (based on its session 
state), but the actual number of rows affected in the database is different. 
This often points to duplicate or orphaned records, or concurrent modifications.
   
   In Superset, the `tagged_object` table is used to associate tags with 
dashboards, charts, and other objects. It has a unique constraint on the 
combination of `tag_id`, `object_id`, and `object_type` to prevent duplicates, 
but if this constraint is violated or if there are unexpected extra rows, 
deletion can fail with a `StaleDataError` as you've seen. The deletion logic 
for dashboards attempts to remove related rows from `tagged_object` based on 
`object_type` and `object_id`—if more rows exist than expected, this error will 
occur 
([source](https://github.com/apache/superset/blob/master/superset/tags/models.py)).
   
   To resolve this, check your `tagged_object` table for duplicate or 
inconsistent entries related to the dashboard you are trying to delete. You can 
do this by running a query like:
   
   ```sql
   SELECT * FROM tagged_object WHERE object_id = <dashboard_id> AND object_type 
= 'dashboard';
   ```
   
   If you find duplicate or unexpected rows, you may need to clean them up 
manually to restore consistency. After cleaning up, try deleting the dashboard 
again.
   
   No similar issues or recent changes related to this specific error were 
found in the Superset repository. If this problem recurs, it may indicate a bug 
in how tags are managed or deleted for dashboards, especially if dashboards are 
created and deleted in rapid succession or via automation. If you continue to 
encounter this, consider capturing the exact state of the `tagged_object` table 
before deletion and sharing it for further analysis.
   
   
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