weimingdiit opened a new issue, #2449:
URL: https://github.com/apache/auron/issues/2449

   **Is your feature request related to a problem? Please describe?**
   
   Paimon native scan rejects columns whose data types are not supported by 
Auron.
   The fallback path is implemented, but the current integration suite does not 
verify
   that unsupported scan data types remain on Spark execution.
   
   Without this coverage, future changes to Paimon scan conversion could 
accidentally
   allow unsupported types into the native path.
   
   **Describe the solution you'd like**
   
   Add integration coverage for a Paimon table containing an unsupported 
decimal type.
   The test should verify that:
   
   - Spark still returns the correct result.
   - The query falls back from `NativePaimonV2TableScan`.
   
   **Describe alternatives you've considered**
   
   No execution logic changes are proposed. This change only adds regression 
coverage
   for the existing fallback behavior.
   
   **Additional context**
   
   The test uses `decimal(38,10)`, which is outside Auron's currently supported 
native
   decimal range.


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