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