Zouxxyy opened a new pull request, #7585:
URL: https://github.com/apache/paimon/pull/7585

   ### Purpose
   
   Fix querying Paimon View fails with "Cannot up cast from STRING to 
VARCHAR(n)" when the underlying table has VARCHAR or CHAR columns.
   
   Spark replaces CharType/VarcharType with StringType during V2 table 
resolution, but the view schema still preserves the original types. This causes 
UpCast(StringType → VarcharType(n)) to fail. The fix uses 
CharVarcharUtils.replaceCharVarcharWithStringInSchema to normalize the view 
schema before applying UpCast.
   
   ### Tests
   
   Add tests for views on tables with VARCHAR columns and nested VARCHAR types 
(ARRAY<VARCHAR>, MAP<STRING, VARCHAR>).


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