samarthjain commented on pull request #1778:
URL: https://github.com/apache/iceberg/pull/1778#issuecomment-730050443


   > Shall we be using `SessionConfigSupport` in Spark for this?
   
   @aokolnychyi - we have run into a couple of use cases internally where users 
have run into issues using vectorized reads on their iceberg tables. However, 
the only way one can currently disable vectorized reads is by changing the 
table property. Since a table can be read by multiple jobs/users,  disabling 
vectorized reads at a table property level prevents all users/jobs from using 
vectorized reads. By having a session level control instead, jobs/users can 
decide themselves instead of "globally" restricting everyone. 


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