Liang Ke created SPARK-16735:
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             Summary: Fail to create a map contains decimal type with literals 
having different inferred precessions and scales
                 Key: SPARK-16735
                 URL: https://issues.apache.org/jira/browse/SPARK-16735
             Project: Spark
          Issue Type: Sub-task
    Affects Versions: 2.0.0, 2.0.1
            Reporter: Liang Ke


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



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