wayneli-vt commented on PR #6827:
URL: https://github.com/apache/paimon/pull/6827#issuecomment-3669649637

   Thank you for the reply! @JingsongLi 
   
   These optimizations are mainly for `computed-column backfill` scenarios. For 
example, users may have already ingested multi-modal data into a Paimon table 
and they want to use Spark to process the data, derive some features, and write 
them back to the same table. 
   
   In this case, it should be possible to do `Scan -> Calculate -> Write` 
directly, since the scan output already satisfies the required layout, so no 
additional shuffle/sort/join is needed. This PR is focused on optimizing this 
scenario.


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