Major Description
In Spark 2.0, we will parse float literals as decimals. However, it introduces a side-effect, which is described below.
spark-sql> select map(0.1,0.01, 0.2,0.033);
Error in query: cannot resolve 'map(CAST(0.1 AS DECIMAL(1,1)), CAST(0.01 AS DECIMAL(2,2)), CAST(0.2 AS DECIMAL(1,1)), CAST(0.033 AS DECIMAL(3,3)))' due to data type mismatch: The given values of function map should all be the same type, but they are [decimal(2,2), decimal(3,3)]; line 1 pos 7
