andygrove opened a new issue, #3315:
URL: https://github.com/apache/datafusion-comet/issues/3315

   ## Summary
   
   4 Spark SQL tests fail because `native_datafusion` produces different plan 
nodes and partitioning info than expected.
   
   ## Failing Tests
   
   - `ParquetV2Suite`: "Fallback Parquet V2 to V1" — expects 
`FileSourceScanExec` or `CometScanExec` in plan, but `native_datafusion` uses 
`CometNativeScan`
   - `BroadcastJoinSuite`: "broadcast join where streamed side's output 
partitioning is HashPartitioning" (x2) — `UnknownPartitioning(8)` instead of 
`PartitioningCollection`
   - `FileStreamSinkSuite`: "self-union, DSv1, read via DataStreamReader API" / 
"self-union, DSv1, read via table API" — streaming query expects specific plan 
structure
   
   ## Root Cause
   
   `native_datafusion` uses `CometNativeScan` instead of 
`CometScanExec`/`FileSourceScanExec` and reports `UnknownPartitioning` instead 
of preserving the original partitioning information. Tests that inspect plan 
internals fail.
   
   ## Related
   
   Discovered in CI for #3307 (enable native_datafusion in auto scan mode).


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