ktaborski opened a new issue, #62216:
URL: https://github.com/apache/airflow/issues/62216

   ### Apache Airflow Provider(s)
   
   amazon
   
   ### Versions of Apache Airflow Providers
   
   ```
   [SQL: INSERT INTO dag_bundle (name, active, version, last_refreshed, 
signed_url_template, template_params) VALUES (%(name)s, %(active)s, 
%(version)s, %(last_refreshed)s, %(signed_url_template)s, 
%(template_params)s::JSON)]
   [parameters: {'name': 'xxx', 'active': True, 'version': None, 
'last_refreshed': None, 'signed_url_template': 
'.eJxtjssKwjAQRf8la9PBXXXdSd0L_kCYJmMV8iIzqaj471Zw6e5yOBzuS7UaVK-uIoV7AMeFZ8eeZu1c1R4FtbB0vOkw4jMnvHPncoTxluBrtMXXXXNeYMwJLoTSKsEwnPXaGLO1v7Xb20MN9jRTDfiwR5zA48RqpcaWfCCbMNLy5E9UvT9njzrW.pxYlmE5D9-SfT3MD6JbPWvRqheM',
 'template_params': '{}'}]
   (Background on this error at: https://sqlalche.me/e/20/9h9h)
   Traceback (most recent call last):
     File 
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/engine/base.py", 
line 1967, in _exec_single_context
       self.dialect.do_execute(
     File 
"/home/airflow/.local/lib/python3.12/site-packages/sqlalchemy/engine/default.py",
 line 952, in do_execute
       cursor.execute(statement, parameters)
   psycopg2.errors.StringDataRightTruncation: value too long for type character 
varying(200)
   ```
   Not sure, what's the limit. In above log bucket name has 23 chars, prefix = 
72
   config snippet:
   ```
   [dag_processor]
   dag_bundle_config_list = [ { "name": "xxx", "classpath": 
"airflow.providers.amazon.aws.bundles.s3.S3DagBundle", "kwargs": { 
"bucket_name": "32-chars-string", "prefix": "72-chars-string" } } 
]stream-common/feature/CCR-12226_CCR-12289_Arl_Overlay_Dag/dags" } } ]
   
   ```
   
   ### Apache Airflow version
   
   3.1.7
   
   ### Operating System
   
   AWS EKS bottlerocket 
   
   ### Deployment
   
   Official Apache Airflow Helm Chart
   
   ### Deployment details
   
   _No response_
   
   ### What happened
   
   dag processor failed to parse dags
   
   ### What you think should happen instead
   
   dag processor should parse dags regardless of prefix size
   
   ### How to reproduce
   
   please configure s3 bundle with long prefix
   
   ### 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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