[jira] [Resolved] (SPARK-28224) Check overflow in decimal Sum aggregate

["Takeshi Yamamuro (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-28224?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Takeshi Yamamuro resolved SPARK-28224.
--------------------------------------
    Fix Version/s: 3.0.0
         Assignee: Mick Jermsurawong
       Resolution: Fixed

Resolved by [https://github.com/apache/spark/pull/25033|https://github.com/apache/spark/pull/25033#]

> Check overflow in decimal Sum aggregate
> ---------------------------------------
>
>                 Key: SPARK-28224
>                 URL: https://issues.apache.org/jira/browse/SPARK-28224
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 3.0.0
>            Reporter: Mick Jermsurawong
>            Assignee: Mick Jermsurawong
>            Priority: Major
>             Fix For: 3.0.0
>
>
> To reproduce:
> {code:java}
> import spark.implicits._
> val ds = spark
>   .createDataset(Seq(BigDecimal("1" * 20), BigDecimal("9" * 20)))
>   .agg(sum("value"))
>   .as[BigDecimal]
> ds.collect shouldEqual Seq(null){code}
> Given the option to throw exception on overflow on, sum aggregation of overflowing bigdecimal still remain null. {{DecimalAggregates}} is only invoked when expression of the sum (not the elements to be operated) has sufficiently small precision. The fix seems to be in Sum expression itself. 
>  



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