[jira] [Commented] (SPARK-24148) Adding Ability to Specify SQL Type of Empty Arrays

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

    [ https://issues.apache.org/jira/browse/SPARK-24148?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16461064#comment-16461064 ] 

Apache Spark commented on SPARK-24148:
--------------------------------------

User 'mn-mikke' has created a pull request for this issue:
https://github.com/apache/spark/pull/21215

> Adding Ability to Specify SQL Type of Empty Arrays
> --------------------------------------------------
>
>                 Key: SPARK-24148
>                 URL: https://issues.apache.org/jira/browse/SPARK-24148
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: Marek Novotny
>            Priority: Major
>
> The function array(...) doesn't let user specify the element type and uses string as default.
> This is a shortcoming in the API as the developer either needs a scala case class and let catalyst infer the schema or by using the Java UDF API.
> This Jira suggests ehnancement of the array function, which will produce an empty array of a given element type.
> A perfect example of the use case is {{when(cond, trueExp).otherwise(falseExp)}}, which expects {{trueExp}} and {{falseExp}} of being the same type. In scenario where we want to produce an empty array, in one of these cases, there's no other way than creating an UDF.



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