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https://issues.apache.org/jira/browse/SPARK-32819?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-32819:
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Fix Version/s: 3.0.2
> Spark SQL aggregate() fails on nested string arrays
> ---------------------------------------------------
>
> Key: SPARK-32819
> URL: https://issues.apache.org/jira/browse/SPARK-32819
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.0
> Environment: Spark 3.0.0 on Databricks (DBR 7.2).
> Reporter: Lauri Koobas
> Assignee: L. C. Hsieh
> Priority: Major
> Fix For: 3.1.0, 3.0.2
>
>
> The aggregate() function seems to fail if the initial state is array(array(
> some string )). Seems to work if it's an INT for example.
> Example that works with a simple array:
> {{select aggregate(split('abcdefgh',''), array(''), (acc, x) -> array( x ) )}}
> Example that works with nested array and INTs:
> {{select aggregate(sequence(0,9), array(array(0)), (acc, x) ->
> array(array}}{{( x ) ) }}{{)}}
> Example that errors:
> {{select aggregate(split('abcdefgh',''), array(array('')), (acc, x) ->
> array(array}}{{( x ) ) }}{{)}}
> Producing the following (shortened) error:
> {{data type mismatch: argument 3 requires array<array<string>> type, however
> ... is of array<array<string>> type.}}
>
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