rami-lv commented on PR #45589:
URL: https://github.com/apache/spark/pull/45589#issuecomment-2523581859
I finally have been able to reproduce it:
```
# Write a Spark DataFrame as an Iceberg table
spark.range(10).write.saveAsTable(
"iceberg_catalog.temp",
format="iceberg",
mode="overwrite"
)
# Query the Iceberg table with a SQL query
spark.sql("""
SELECT *
FROM iceberg_catalog.temp
WHERE coalesce(
(
id = 43536 AND
NULL - 10 > 86400000
),
false
)
""").show()
```
Note that the exception is only thrown when the source is an iceberg table.
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