gustavodemorais opened a new pull request, #28063:
URL: https://github.com/apache/flink/pull/28063

   
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   ## What is the purpose of the change
   
   StreamPhysicalProcessTableFunction.toUdfCall always reads staticArgs.get(0) 
when deciding whether a table operand has the PASS_COLUMNS_THROUGH trait. The 
lookup should be per-operand: staticArgs.get(operand.i). This is a leftover 
from the first released versions.
   
   When the first declared argument is not the table being inspected (e.g. 
f(Integer i, Row r WITH PASS_COLUMNS_THROUGH)), the trait check uses the wrong 
static argument. This produces an incorrect prefixOutputSystemFields count and 
the UDF call's rowtype is not stripped of the system-prefixed columns. The 
wrong rowtype is then passed to ProcessTableRunnerGenerator, leading to 
incorrect code generation for the PTF runner.
   
   ## Brief change log
   
   - Fix code
   - Add semantic test which surfaced the issue and is now fixed
   
   
   ## Verifying this change
   
   - Add semantic test
   
   Why semantic test:
   
   The bug only affects the internal UDF rowtype that toUdfCall produces and 
hands to ProcessTableRunnerGenerator for code generation. That intermediate 
rowtype is never serialized into the rel plan or exec plan XML — both show only 
the PTF's   
     outer output (e.g. [name, score, out]), which is correct in both buggy and 
fixed states.
                                                                                
                                                                                
                                                                                
      A verifyRelPlan/verifyExecPlan golden-file test would produce identical 
XML before and after the fix, so it can't catch the bug. A semantic test 
actually compiles and runs the operator, so the wrong UDF rowtype trips 
BridgingFunctionGenUtil.verifyOutputType at code-gen time with a clear 
CodeGenException. 
   
   ## Does this pull request potentially affect one of the following parts:
   
     - Dependencies (does it add or upgrade a dependency): (no)
     - The public API, i.e., is any changed class annotated with 
`@Public(Evolving)`: (no)
     - The serializers: (no)
     - The runtime per-record code paths (performance sensitive): (no)
     - Anything that affects deployment or recovery: JobManager (and its 
components), Checkpointing, Kubernetes/Yarn, ZooKeeper: (no)
     - The S3 file system connector: (no)
   
   ## Documentation
   
     - Does this pull request introduce a new feature? (no)
     - If yes, how is the feature documented? (not applicable)
   
   ---
   
   ##### Was generative AI tooling used to co-author this PR?
   
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   2.1.117 (Claude Code)
   


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