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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/07/17 13:14:00 UTC

[jira] [Assigned] (SPARK-39792) Add DecimalDivideWithOverflowCheck for decimal average

     [ https://issues.apache.org/jira/browse/SPARK-39792?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-39792:
------------------------------------

    Assignee: Apache Spark

> 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: Apache Spark
>            Priority: Major
>
> 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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