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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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Uros Stankovic updated SPARK-60245:
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Affects Version/s: 4.4.0
(was: 5.0.0)
> 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
> Priority: Minor
>
> 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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