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https://issues.apache.org/jira/browse/SPARK-57298?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-57298:
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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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