[jira] [Resolved] (SPARK-29638) Spark handles 'NaN' as 0 in sums

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

     [ https://issues.apache.org/jira/browse/SPARK-29638?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Takeshi Yamamuro resolved SPARK-29638.
--------------------------------------
    Resolution: Cannot Reproduce

> Spark handles 'NaN' as 0 in sums
> --------------------------------
>
>                 Key: SPARK-29638
>                 URL: https://issues.apache.org/jira/browse/SPARK-29638
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 3.0.0
>            Reporter: Dylan Guedes
>            Priority: Major
>
> Currently, Spark handles 'NaN' as 0 in window functions, such that 3+'NaN'=3. PgSQL, on the other hand, handles the entire result as 'NaN', as in 3+'NaN' = 'NaN'
> I experienced this with the query below:
> {code:sql}
> SELECT a, b,
>        SUM(b) OVER(ORDER BY A ROWS BETWEEN 1 PRECEDING AND CURRENT ROW)
> FROM (VALUES(1,1),(2,2),(3,(cast('nan' as int))),(4,3),(5,4)) t(a,b);
> {code}



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