Ngone51 commented on a change in pull request #26881: [SPARK-30252][SQL] 
Disallow negative scale of Decimal
URL: https://github.com/apache/spark/pull/26881#discussion_r366112598
 
 

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 File path: sql/core/src/test/resources/sql-tests/results/literals.sql.out
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 @@ -211,7 +211,7 @@ select 1E309, -1E309
 -- !query 21
 select 0.3, -0.8, .5, -.18, 0.1111, .1111
 -- !query 21 schema
-struct<0.3:decimal(1,1),-0.8:decimal(1,1),0.5:decimal(1,1),-0.18:decimal(2,2),0.1111:decimal(4,4),0.1111:decimal(4,4)>
 
 Review comment:
   That's true that there's other DBMS would ignore the leftmost zero, which 
could bring larger scale for values less than `1`.  I don't know that Spark is 
also intentionally to follow this. But AFAIK, for number like `0.3`, in Spark, 
it will have `(precision, scale)` as (2, 1) in `Decimal`, but (1, 1) in 
`DecimalType`.
   
   Maybe, we shall add this as a new feature in following PR.

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