milastdbx commented on PR #48625:
URL: https://github.com/apache/spark/pull/48625#issuecomment-2458350205

   If postgres array has row with different array dimensionality (array_dims 
returning different values for different rows) - then from Spark perspective 
there is really no correct answer to what `array_dims` we should use given that 
spark cannot process this rows anyway. Given that there is no correct answer, 
all answers are wrong answers, so returning `rand()` is same as reading it from 
metadata, as for Spark these are all incorrect.
   
   
   
   
   


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