marcosmartinezfco opened a new issue, #59465:
URL: https://github.com/apache/airflow/issues/59465

   ### Apache Airflow version
   
   Other Airflow 3 version (please specify below)
   
   ### If "Other Airflow 3 version" selected, which one?
   
   3.1.4
   
   ### What happened?
   
   We are observing **continuous DAG version increments** for DAGs sourced from 
an S3 DAG bundle (`S3DagBundle`).  
   
   Even though **no changes** have been made to the DAG files in S3 for several 
weeks, Airflow keeps generating new DAG versions—for example, the UI currently 
shows:
   
   > **Dag Version(s): v2516**
   
   This issue happens **without any DAG code updates**, suggesting that the 
scheduler or DAG processor is detecting artificial "changes" during bundle sync 
or serialization.
   
   #### Effects we’re seeing:
   - DAG version numbers increase constantly (v1000 → v2000+).
   - Metadata DB (`serialized_dag`, `dag_version`) grows unnecessarily.
   - UI makes it appear as if DAGs are constantly changing.
   - Scheduler and DAG processor logs do **not** indicate code changes.
   
   
   ### What you think should happen instead?
   
   Airflow should only create new DAG versions when:
   - The DAG file content changes, or
   - Structural changes to the DAG occur.
   
   Since the S3 objects have **unchanged ETags and last-modified timestamps**, 
new versions should **not** be created.
   
   
   ### How to reproduce
   
   No idea, this only happens with one of my Dags which doesn't have any 
particular special code or anthing
   
   ### Operating System
   
   AlmaLinux 9.5 (Teal Serval)
   
   ### Versions of Apache Airflow Providers
   
   apache-airflow-providers-amazon==9.18.0
   apache-airflow-providers-celery==3.14.0
   apache-airflow-providers-cncf-kubernetes==10.11.0
   apache-airflow-providers-common-compat==1.10.0
   apache-airflow-providers-common-io==1.7.0
   apache-airflow-providers-common-messaging==2.0.1
   apache-airflow-providers-common-sql==1.30.0
   apache-airflow-providers-docker==4.5.0
   apache-airflow-providers-elasticsearch==6.4.0
   apache-airflow-providers-fab==3.0.3
   apache-airflow-providers-ftp==3.14.0
   apache-airflow-providers-git==0.1.0
   apache-airflow-providers-google==19.1.0
   apache-airflow-providers-grpc==3.9.0
   apache-airflow-providers-hashicorp==4.4.0
   apache-airflow-providers-http==5.6.0
   apache-airflow-providers-microsoft-azure==12.9.0
   apache-airflow-providers-mysql==6.4.0
   apache-airflow-providers-odbc==4.11.0
   apache-airflow-providers-openlineage==2.9.0
   apache-airflow-providers-postgres==6.5.0
   apache-airflow-providers-redis==4.4.0
   apache-airflow-providers-sendgrid==4.2.0
   apache-airflow-providers-sftp==5.5.0
   apache-airflow-providers-slack==9.6.0
   apache-airflow-providers-smtp==2.4.0
   apache-airflow-providers-snowflake==6.7.0
   apache-airflow-providers-ssh==3.14.0
   apache-airflow-providers-standard==1.10.0
   
   ### Deployment
   
   Docker-Compose
   
   ### Deployment details
   
   _No response_
   
   ### Anything else?
   
   ## Orchestration
   
   - Docker Compose deployment.
   
   - Scheduler + webserver + DAG processor running on a r7i.8xlarge instance
   
   - Celery workers running on additional EC2 instances.
   
   ## Executor
   
   - CeleryExecutor
   
   ## Metadata Database
   
   - PostgreSQL Aurora cluster
   
   - Highly available, no failovers detected.
   
   - No write issues or DB-level instability.
   
   ## Storage
   
   - DAGs pulled from S3 DAG Bundle (S3DagBundle)
   
   - S3 object ETags and LastModified timestamps confirmed stable.
   
   ### 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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