j7nhai opened a new issue, #7760:
URL: https://github.com/apache/incubator-gluten/issues/7760
### Backend
VL (Velox)
### Bug description
By rewrite the class and package in a jar.
```
package org.apache.spark.sql.hive.execution;
import org.apache.hadoop.hive.ql.exec.UDF;
public class UDFStringString extends UDF {
public String evaluate(String s1, String s2) {
return s1 + " java " + s2;
}
}
```
And run sql as following.
```
CREATE TEMPORARY FUNCTION hive_string_string AS
'org.apache.spark.sql.hive.execution.UDFStringString';
select hive_string_string("hello", "world");
explain select hive_string_string("hello", "world");
```
with conf
```
spark.gluten.sql.columnar.backend.velox.udfLibraryPaths=file:///root/libmyudf.so
```
And its output is:
```
hello java world
Time taken: 3.392 seconds, Fetched 2 row(s)
== Physical Plan ==
VeloxColumnarToRow
+- ^(2) ProjectExecTransformer [hello java world AS
hive_string_string(hello, world)#16]
+- ^(2) InputIteratorTransformer[fake_column#17]
+- RowToVeloxColumnar
+- *(1) Scan OneRowRelation[fake_column#17]
```
That means the udf is actually running on jvm because the output is "hello
java world". But the plan show that it runs on native.
### Spark version
None
### Spark configurations
_No response_
### System information
_No response_
### Relevant logs
_No response_
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