tkyoo opened a new issue, #64957:
URL: https://github.com/apache/airflow/issues/64957

   ### Under which category would you file this issue?
   
   Airflow Core
   
   ### Apache Airflow version
   
   3.2.0
   
   ### What happened and how to reproduce it?
   
   
[https://github.com/apache/airflow/blob/1ffd2da4fbe414ffe6822d52e86a77ab68257010/airflow-core/src/airflow/models/taskinstance.py#L784](https://github.com/apache/airflow/blob/1ffd2da4fbe414ffe6822d52e86a77ab68257010/airflow-core/src/airflow/models/taskinstance.py?utm_source=copilot.com#L784)
   
   During query creation in get_task_instance, the filter_by condition should 
also include dag_id. However, it was removed without explanation in the 
following commit:
   
[https://github.com/apache/airflow/blob/d8a97a3082425bfc626776306ef7149567d5f9fc/airflow-core/src/airflow/models/taskinstance.py](https://github.com/apache/airflow/blob/d8a97a3082425bfc626776306ef7149567d5f9fc/airflow-core/src/airflow/models/taskinstance.py?utm_source=copilot.com)
   
   Currently, if there are two or more DAGs with the same run_id and task_id 
then get_or_none returns multiple results, causing the scheduler to terminate 
unexpectedly.
   
   ### What you think should happen instead?
   
   When creating a TaskInstance query in get_task_instance, the dag_id should 
also be passed to filter_by.
   The previous code was removed without any explanation.
   
   ### Operating System
   
   _No response_
   
   ### Deployment
   
   None
   
   ### Apache Airflow Provider(s)
   
   _No response_
   
   ### Versions of Apache Airflow Providers
   
   _No response_
   
   ### Official Helm Chart version
   
   1.20.0 (latest released)
   
   ### Kubernetes Version
   
   _No response_
   
   ### Helm Chart configuration
   
   _No response_
   
   ### Docker Image customizations
   
   _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)
   


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