chenghuichen commented on PR #7673:
URL: https://github.com/apache/paimon/pull/7673#issuecomment-4458064500

   @leaves12138 Thanks for catching this! The `_ROW_ID` correctness issue makes 
total sense. 
   
   Fixed both cases:
   - SlicedSplit: offset `first_row_id` by `shard_range[0]` for correct 
`_ROW_ID`
   - IndexedSplit: pass local offsets to `DataFileBatchReader` for per-row 
`_ROW_ID` assignment
   
   Added e2e regression tests (with_shard + `_ROW_ID` projection, IndexedSplit 
+ `_ROW_ID`). 
   
   For the `vortex.array(range(...))` concern: benchmarked with 20M rows, 
native pushdown shows ~5% speedup over ShardBatchReader. 
   
[bench_shard_pushdown.py](https://github.com/user-attachments/files/27792184/bench_shard_pushdown.py)
   The gain is modest since Lance/Vortex readers still fetch full files before 
selecting rows, but this path will benefit directly once fine-grained 
byte-range reads land (lance-format/lance#1929).


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