[jira] [Assigned] (SPARK-16714) Fail to create a decimal arrays with literals having different inferred precessions and scales

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

     [ https://issues.apache.org/jira/browse/SPARK-16714?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-16714:
------------------------------------

    Assignee: Apache Spark

> Fail to create a decimal arrays with literals having different inferred precessions and scales
> ----------------------------------------------------------------------------------------------
>
>                 Key: SPARK-16714
>                 URL: https://issues.apache.org/jira/browse/SPARK-16714
>             Project: Spark
>          Issue Type: Bug
>    Affects Versions: 2.0.0
>            Reporter: Yin Huai
>            Assignee: Apache Spark
>
> In Spark 2.0, we will parse float literals as decimals. However, it introduces a side-effect, which is described below. 
>  
> {code}
> select array(0.001, 0.02)
> {code}
> causes
> {code}
> org.apache.spark.sql.AnalysisException: cannot resolve 'array(CAST(0.001 AS DECIMAL(3,3)), CAST(0.02 AS DECIMAL(2,2)))' due to data type mismatch: input to function array should all be the same type, but it's [decimal(3,3), decimal(2,2)]; line 1 pos 7
> {code}



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