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https://issues.apache.org/jira/browse/SPARK-60245?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Uroš Bojanić resolved SPARK-60245.
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Fix Version/s: 4.4.0
Resolution: Fixed
Issue resolved by pull request 59466
[https://github.com/apache/spark/pull/59466]
> Support vector_sum and vector_avg to work on double array for higher precision
> ------------------------------------------------------------------------------
>
> Key: SPARK-60245
> URL: https://issues.apache.org/jira/browse/SPARK-60245
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 4.4.0
> Reporter: Uros Stankovic
> Assignee: Uros Stankovic
> Priority: Minor
> Labels: pull-request-available
> Fix For: 4.4.0
>
>
> Some mathematical workloads requires higher precision for vector_sum and
> vector_avg functions. Those are mathematical functions where return array is
> aggregate of all rows of table, and higher precision can benefit workloads
> such as Value at risk algorithms.
> Other vector functions are used mostly for embedding vectors, and standard
> there is array<float>, so this extension is needed only for vector_sum and
> vector_avg.
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