JingsongLi commented on PR #7590:
URL: https://github.com/apache/paimon/pull/7590#issuecomment-4233556681
Spark SQL does NOT follow IEEE 754 for NaN equality. In Spark, NaN = NaN
evaluates to true:
```
spark-sql> SELECT float('NaN') = float('NaN');
true
```
So WHERE float_col = float('NaN') should return rows where float_col IS NaN.
Returning alwaysFalse() silently drops those rows — this is a data correctness
bug.
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