walterddr commented on issue #10318:
URL: https://github.com/apache/pinot/issues/10318#issuecomment-1450432071

   It is possible to mimic Postgres behavior. Calcite RelDataTypeFactory has 
precision and scale associated with each numeric type. we can apply the 
function as above with several caveats
   
   see 
https://github.com/apache/calcite/blob/2dba40e7a0a5651eac5a30d9e0a72f178bd9bff2/core/src/main/java/org/apache/calcite/rel/type/RelDataTypeFactoryImpl.java#L562-L587
   
   1. for all the precision and scale factors listed --> we round up to the 
nearest associated Pinot type.
       - according to calcite: INTEGER(10, 0) and BIGINT(38, 0), FLOAT(14, 7), 
DOUBLE(30, 15), 
       - for example: so if our scale calculation results in a (12, 2) --> this 
matches to FLOAT
   2. we don't need to exactly compute the ceil(log10(count()), we can use the 
table size to estimate given that the scale differences are so large between 2 
pinot data types
   
   


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