tgmof opened a new issue, #72385:
URL: https://github.com/apache/airflow/issues/72385

   ### Under which category would you file this issue?
   
   Providers
   
   ### Apache Airflow version
   
   2.11.1
   
   ### What happened and how to reproduce it?
   
   - Running a bunch of CloudDataFusionStartPipelineOperator in parallel
   - Observing a third to half of them failing with error:
   ```
     File 
"/opt/python3.11/lib/python3.11/site-packages/airflow/providers/google/cloud/hooks/datafusion.py",
 line 185, in _check_response_status_and_data
       raise HTTPError(message)
   requests.exceptions.HTTPError: Retrieving a pipeline state failed with code 
404
   ```
   
   
   ### What you think should happen instead?
   
   - It should not fail because this introduces a regression of a fix delivered 
6 years ago: https://github.com/apache/airflow/pull/10031
   - Clearly the PR makes no sense because the "new exceptions chosen" are not 
in sync: One function raises HTTPError while the one calling that function has 
an except KeyError... I guess AI has at least this advantage that it would 
catch such simple error as it's 100% a logic bug and 100% contained in a single 
PR... Maybe activate CodeRabbit or whatever competitor that is free for OSS?
   
   ### Operating System
   
   _No response_
   
   ### Deployment
   
   Google Managed Service for Apache Airflow
   
   ### Apache Airflow Provider(s)
   
   google
   
   ### Versions of Apache Airflow Providers
   
   apache-airflow-providers-google==22.2.2
   
https://docs.cloud.google.com/composer/docs/versions-packages#composer-2-17-9-airflow-2-11-1
   
   
   
   ### Official Helm Chart version
   
   Not Applicable
   
   ### Kubernetes Version
   
   Not Applicable
   
   ### Helm Chart configuration
   
   Not Applicable
   
   ### Docker Image customizations
   
   Not Applicable
   
   ### 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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