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https://issues.apache.org/jira/browse/SPARK-39792?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gengliang Wang resolved SPARK-39792.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 37207
[https://github.com/apache/spark/pull/37207]
> Add DecimalDivideWithOverflowCheck for decimal average
> ------------------------------------------------------
>
> Key: SPARK-39792
> URL: https://issues.apache.org/jira/browse/SPARK-39792
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.4.0
> Reporter: XiDuo You
> Assignee: XiDuo You
> Priority: Major
> Fix For: 3.4.0
>
>
> If the result data type is decimal, the Average will first calculate the
> result using the default precison and scale of divide, then cast to the
> result data type. We should do calculate and return the result data type
> directly so that we can avoid the precision loss. It can also save one
> unnecessary cast.
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