[jira] [Updated] (SPARK-57298) collect_set returns duplicate NaN values for float/double columns

["ASF GitHub Bot (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-57298?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated SPARK-57298:
-----------------------------------
    Labels: pull-request-available  (was: )

> collect_set returns duplicate NaN values for float/double columns
> -----------------------------------------------------------------
>
>                 Key: SPARK-57298
>                 URL: https://issues.apache.org/jira/browse/SPARK-57298
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 5.0.0
>            Reporter: Eric Yang
>            Priority: Major
>              Labels: pull-request-available
>
> `collect_set` is documented to return a set of distinct elements, and under Spark SQL semantics all NaN values are equal (and `-0.0 == 0.0`). However, `collect_set` over float/double columns returns duplicate `NaN` elements:
> {code:java}
> SELECT collect_set(v) FROM VALUES (double('NaN')), (double('NaN')) AS t(v);
> -- actual:   [NaN, NaN]
> -- expected: [NaN] {code}
> This is inconsistent with array_distinct , count(DISTINCT), grouping/join/window keys, and the array set operations - all of which treat NaNs as equal.
>  
>  



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