Eric Yang created SPARK-57298:
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Summary: 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
`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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