github-actions[bot] closed issue #9130: The query result of `col > x` may be
incorrect when there are NaN values in the column `col`
URL: https://github.com/apache/iceberg/issues/9130
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github-actions[bot] commented on issue #9130:
URL: https://github.com/apache/iceberg/issues/9130#issuecomment-2594192084
This issue has been closed because it has not received any activity in the
last 14 days since being marked as 'stale'
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zhongyujiang commented on issue #9130:
URL: https://github.com/apache/iceberg/issues/9130#issuecomment-1824103082
Agg push down has the same issue:
![image](https://github.com/apache/iceberg/assets/42907416/0f78bc18-a68d-4598-a76c-c499818138d9)
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zhongyujiang commented on issue #9130:
URL: https://github.com/apache/iceberg/issues/9130#issuecomment-1822694319
Since NaNs are not permitted as lower or upper bounds in Iceberg, should we
convert Spark's `col > x` filter to Iceberg's `col > x OR col is NaN` if `col`
is `float` or `double`
zhongyujiang opened a new issue, #9130:
URL: https://github.com/apache/iceberg/issues/9130
### Apache Iceberg version
1.4.2 (latest release)
### Query engine
Spark
### Please describe the bug 🐞
I found that when there are NaN values in the columns, the resul