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Hello,
It seems like there is an issue with the above-mentioned versions of Spark and kotlin-spark-api.
When trying to convert a Dataset<Row> to Dataset<MyDataClass> using the as method, I get the following error
Exception in thread "main" java.lang.NoSuchMethodError: org.apache.spark.sql.catalyst.expressions.objects.Invoke.<init>(Lorg/apache/spark/sql/catalyst/expressions/Expression;Ljava/lang/String;Lorg/apache/spark/sql/types/DataType;Lscala/collection/Seq;Lscala/collection/Seq;ZZ)V
at org.apache.spark.sql.KotlinReflection$.$anonfun$serializerFor$16(KotlinReflection.scala:759)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
at [scala.collection.TraversableLike.map](http://scala.collection.traversablelike.map/)(TraversableLike.scala:286)
at [scala.collection.TraversableLike.map](http://scala.collection.traversablelike.map/)$(TraversableLike.scala:279)
at scala.collection.mutable.ArrayOps$[ofRef.map](http://ofref.map/)(ArrayOps.scala:198)
at org.apache.spark.sql.KotlinReflection$.$anonfun$serializerFor$1(KotlinReflection.scala:749)
at scala.reflect.internal.tpe.TypeConstraints$UndoLog.undo(TypeConstraints.scala:73)
at org.apache.spark.sql.KotlinReflection.cleanUpReflectionObjects(KotlinReflection.scala:1013)
at org.apache.spark.sql.KotlinReflection.cleanUpReflectionObjects$(KotlinReflection.scala:1012)
at org.apache.spark.sql.KotlinReflection$.cleanUpReflectionObjects(KotlinReflection.scala:47)
at org.apache.spark.sql.KotlinReflection$.serializerFor(KotlinReflection.scala:591)
at org.apache.spark.sql.KotlinReflection$.serializerFor(KotlinReflection.scala:578)
at org.apache.spark.sql.KotlinReflection.serializerFor(KotlinReflection.scala)
at org.jetbrains.kotlinx.spark.api.ApiV1Kt.kotlinClassEncoder(ApiV1.kt:183)
at org.jetbrains.kotlinx.spark.api.ApiV1Kt.generateEncoder(ApiV1.kt:170)
When using the latest code from the spark-3.2 branch, things are working fine, so I'm assuming that you have already found this issue and fixed it.
Would it be possible to cut a release containing that fix? Sorry I haven't had the time to submit a failing test as an example, but since the last release it seems like you have added quite a few, so this might be already covered. Please let me know if you think it would be valuable to add a test for that particular case.
Thanks!
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