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https://issues.apache.org/jira/browse/SPARK-16714?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15392799#comment-15392799
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Apache Spark commented on SPARK-16714:
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User 'dongjoon-hyun' has created a pull request for this issue:
https://github.com/apache/spark/pull/14353
> 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
>
> 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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