ilyaavgul-tomtom opened a new issue, #2820:
URL: https://github.com/apache/sedona/issues/2820
### Problem
After upgrading from Databricks Runtime 16.4 to 17.3 LTS, Spark whole-stage
codegen fails with:
```
org.codehaus.commons.compiler.CompileException: File 'generated.java', Line
45, Column 66:
Unknown variable or type
"org.apache.spark.sql.sedona_sql.UDT.GeometryUDT$$.MODULE$"
```
The same cluster config, jars, and application code work without issues on
DBR 16.4.
### Setup
- **Sedona:** 1.8.1 (sedona-spark-shaded-4.0_2.13-1.8.1.jar +
geotools-wrapper-1.8.1-33.1.jar) installed via init script to /databricks/jars/
- **Scala:** 2.13.15
- **Spark config:**
```
spark.driver.maxResultSize 8g
spark.databricks.delta.preview.enabled true
spark.network.timeout 600s
spark.shuffle.io.retryWait 30s
spark.cleaner.referenceTracking.cleanCheckpoints true
spark.sql.shuffle.partitions auto
```
### Reproduction
The error triggers when calling `.map()` on a DataFrame produced by
`Adapter.toDf()` after a spatial join via the RDD API:
```scala
import org.apache.sedona.core.spatialOperator.{JoinQuery, SpatialPredicate}
import org.apache.sedona.sql.utils.Adapter
import org.locationtech.jts.geom.Geometry
val joinResult = JoinQuery.SpatialJoinQueryFlat(blueSpatialRdd,
redSpatialRdd, true, SpatialPredicate.INTERSECTS)
val df = Adapter.toDf(joinResult, Seq("redId"), Seq("blueId"), spark)
// This triggers whole-stage codegen which fails on DBR 17.3 LTS
df.map(row => row.getAs[Geometry]("leftgeometry")).collect()
```
**DBR 16.4:** works
**DBR 17.3 LTS:** fails with `Unknown variable or type
"org.apache.spark.sql.sedona_sql.UDT.GeometryUDT$$.MODULE$"`
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