[GitHub] [iceberg] aokolnychyi edited a comment on pull request #1778: Parquet - Add a spark session configuration for controlling enabling vectorized reads

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aokolnychyi edited a comment on pull request #1778:
URL: https://github.com/apache/iceberg/pull/1778#issuecomment-729402986


   What is the use case of enabling/disabling vectorization per session? Do you guys find that useful?
   
   If we decide to have session configs, should we have a proper place for them like our own SQL config?
   
   Shall we be using `SessionConfigSupport` in Spark for this?


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