[jira] [Assigned] (SPARK-16735) Fail to create a map contains decimal type with literals having different inferred precessions and scales

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-16735?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-16735:
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    Assignee:     (was: Apache Spark)

> 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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