cccs-br opened a new issue #2934:
URL: https://github.com/apache/iceberg/issues/2934
We've encountered a scenario where iceberg throws an
IllegalArgumentException when filtering a dataframe against a column that is a
BinaryType.
Here is the stacktrace
```
ava.lang.IllegalArgumentException: Cannot convert bytes to SQL literal:
java.nio.HeapByteBuffer[pos=0 lim=16 cap=16]
at
org.apache.iceberg.spark.Spark3Util$DescribeExpressionVisitor.sqlString(Spark3Util.java:654)
at
org.apache.iceberg.spark.Spark3Util$DescribeExpressionVisitor.predicate(Spark3Util.java:628)
at
org.apache.iceberg.spark.Spark3Util$DescribeExpressionVisitor.predicate(Spark3Util.java:576)
at
org.apache.iceberg.expressions.ExpressionVisitors.visit(ExpressionVisitors.java:308)
```
In order to reproduce the issue, you can simply clone this repo
https://github.com/cccs-br/spark-iceberg-issue
```
[email protected]:cccs-br/spark-iceberg-issue.git
```
The test case reproducing the exception is here:
https://github.com/cccs-br/spark-iceberg-issue/blob/f7811250608df8618fe264cbf340b5d40effba0d/src/test/java/IcebergTests.java#L59
You will see in this class three more test cases that show very similar
filtering but are successful.
Out of the 4 test cases in this class, only one fails, where you would
expect all of them to succeed.
The anomaly here is that the filtering works when using a literal
expression, but fails when using:
```java
spark.sql("select * from
my_table").where(col('binary_column_name').$greater(my_byte_array))
```
```scala
spark.sql("select * from my_table").where(col('binary_column_name') >
my_byte_array)
```
Two of the test cases are basically the reproducing the both cases, but
filtering on a dataframe that is created by reading the parquet files generated
by iceberg directly. This is just to show that bother filtering methods work
in those cases.
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