diff --git a/src/main/scala/org/apache/spark/sql/kll/aggregate/KllDoublesSketchAggBuild.scala b/src/main/scala/org/apache/spark/sql/kll/aggregate/KllDoublesSketchAggBuild.scala
index 543ce9f..53225ea 100644
--- a/src/main/scala/org/apache/spark/sql/kll/aggregate/KllDoublesSketchAggBuild.scala
+++ b/src/main/scala/org/apache/spark/sql/kll/aggregate/KllDoublesSketchAggBuild.scala
@@ -18,7 +18,6 @@
 package org.apache.spark.sql.aggregate
 
 import org.apache.datasketches.kll.{KllSketch, KllDoublesSketch}
-import org.apache.spark.SparkUnsupportedOperationException
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.{ExpectsInputTypes, Expression, ExpressionDescription, Literal}
 import org.apache.spark.sql.catalyst.expressions.aggregate.TypedImperativeAggregate
@@ -60,9 +59,8 @@ case class KllDoublesSketchAggBuild(
       case null => KllSketch.DEFAULT_K
       case k: Int => k
       // this shouldn't happen after checkInputDataTypes()
-      case _ => throw new SparkUnsupportedOperationException(
-        s"Unsupported input type ${kExpr.dataType.catalogString}",
-        Map("dataType" -> dataType.toString))
+      case _ => throw new IllegalArgumentException(
+        s"Unsupported input type ${kExpr.dataType.catalogString}")
     }
   }
 
@@ -104,8 +102,6 @@ case class KllDoublesSketchAggBuild(
 
   override def nullable: Boolean = false
 
-  override def stateful: Boolean = true
-
   override def inputTypes: Seq[AbstractDataType] = Seq(NumericType, IntegerType)
 
   override def checkInputDataTypes(): TypeCheckResult = {
@@ -136,9 +132,8 @@ case class KllDoublesSketchAggBuild(
         case FloatType => sketch.update(value.asInstanceOf[Float].toDouble)
         case IntegerType => sketch.update(value.asInstanceOf[Int].toDouble)
         case LongType => sketch.update(value.asInstanceOf[Long].toDouble)
-        case _ => throw new SparkUnsupportedOperationException(
-          s"Unsupported input type ${dataExpr.dataType.catalogString}",
-          Map("dataType" -> dataType.toString))
+        case _ => throw new IllegalArgumentException(
+          s"Unsupported input type ${dataExpr.dataType.catalogString}")
       }
     }
     sketch
diff --git a/src/main/scala/org/apache/spark/sql/kll/aggregate/KllDoublesSketchAggMerge.scala b/src/main/scala/org/apache/spark/sql/kll/aggregate/KllDoublesSketchAggMerge.scala
index f605604..bf4c51c 100644
--- a/src/main/scala/org/apache/spark/sql/kll/aggregate/KllDoublesSketchAggMerge.scala
+++ b/src/main/scala/org/apache/spark/sql/kll/aggregate/KllDoublesSketchAggMerge.scala
@@ -20,7 +20,6 @@ package org.apache.spark.sql.aggregate
 import org.apache.datasketches.memory.Memory
 import org.apache.datasketches.kll.{KllSketch, KllDoublesSketch}
 
-import org.apache.spark.SparkUnsupportedOperationException
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.{ExpectsInputTypes, Expression, ExpressionDescription, Literal}
 import org.apache.spark.sql.catalyst.expressions.aggregate.TypedImperativeAggregate
@@ -62,9 +61,8 @@ case class KllDoublesSketchAggMerge(
       case null => KllSketch.DEFAULT_K
       case k: Int => k
       // this shouldn't happen after checkInputDataTypes()
-      case _ => throw new SparkUnsupportedOperationException(
-        s"Unsupported input type ${right.dataType.catalogString}",
-        Map("dataType" -> dataType.toString))
+      case _ => throw new IllegalArgumentException(
+        s"Unsupported input type ${right.dataType.catalogString}")
     }
   }
 
@@ -102,8 +100,6 @@ case class KllDoublesSketchAggMerge(
 
   override def nullable: Boolean = false
 
-  override def stateful: Boolean = true
-
   override def inputTypes: Seq[AbstractDataType] = Seq(KllDoublesSketchType, IntegerType)
 
   override def checkInputDataTypes(): TypeCheckResult = {
@@ -135,9 +131,8 @@ case class KllDoublesSketchAggMerge(
         case KllDoublesSketchType =>
             union.merge(KllDoublesSketch.wrap(Memory.wrap(value.asInstanceOf[Array[Byte]])))
             union
-        case _ => throw new SparkUnsupportedOperationException(
-          s"Unsupported input type ${sketchExpr.dataType.catalogString}",
-          Map("dataType" -> dataType.toString))
+        case _ => throw new IllegalArgumentException(
+          s"Unsupported input type ${sketchExpr.dataType.catalogString}")
       }
     } else {
       union
diff --git a/src/main/scala/org/apache/spark/sql/theta/aggregate/ThetaSketchAggBuild.scala b/src/main/scala/org/apache/spark/sql/theta/aggregate/ThetaSketchAggBuild.scala
index bbca824..d88af6e 100644
--- a/src/main/scala/org/apache/spark/sql/theta/aggregate/ThetaSketchAggBuild.scala
+++ b/src/main/scala/org/apache/spark/sql/theta/aggregate/ThetaSketchAggBuild.scala
@@ -18,7 +18,6 @@
 package org.apache.spark.sql.aggregate
 
 import org.apache.datasketches.theta.{UpdateSketch, SetOperation}
-import org.apache.spark.SparkUnsupportedOperationException
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.{ExpectsInputTypes, Expression, ExpressionDescription, Literal}
 import org.apache.spark.sql.catalyst.expressions.aggregate.TypedImperativeAggregate
@@ -59,9 +58,8 @@ case class ThetaSketchAggBuild(
     right.eval() match {
       case null => 12
       case lgk: Int => lgk
-      case _ => throw new SparkUnsupportedOperationException(
-        s"Unsupported input type ${right.dataType.catalogString}",
-        Map("dataType" -> dataType.toString))
+      case _ => throw new IllegalArgumentException(
+        s"Unsupported input type ${right.dataType.catalogString}")
     }
   }
 
@@ -97,9 +95,8 @@ case class ThetaSketchAggBuild(
         case FloatType => wrapper.updateSketch.get.update(value.asInstanceOf[Float])
         case IntegerType => wrapper.updateSketch.get.update(value.asInstanceOf[Int])
         case LongType => wrapper.updateSketch.get.update(value.asInstanceOf[Long])
-        case _ => throw new SparkUnsupportedOperationException(
-          s"Unsupported input type ${left.dataType.catalogString}",
-          Map("dataType" -> dataType.toString))
+        case _ => throw new IllegalArgumentException(
+          s"Unsupported input type ${left.dataType.catalogString}")
       }
     }
     wrapper
diff --git a/src/main/scala/org/apache/spark/sql/theta/aggregate/ThetaSketchAggUnion.scala b/src/main/scala/org/apache/spark/sql/theta/aggregate/ThetaSketchAggUnion.scala
index 1a17b34..107382a 100644
--- a/src/main/scala/org/apache/spark/sql/theta/aggregate/ThetaSketchAggUnion.scala
+++ b/src/main/scala/org/apache/spark/sql/theta/aggregate/ThetaSketchAggUnion.scala
@@ -25,7 +25,6 @@ import org.apache.spark.sql.catalyst.expressions.{ExpectsInputTypes, Expression,
 import org.apache.spark.sql.catalyst.expressions.aggregate.TypedImperativeAggregate
 import org.apache.spark.sql.catalyst.trees.BinaryLike
 import org.apache.spark.sql.types.{AbstractDataType, DataType, IntegerType, ThetaSketchWrapper, ThetaSketchType}
-import org.apache.spark.SparkUnsupportedOperationException
 
 /**
  * Theta Union operation.
@@ -60,9 +59,8 @@ case class ThetaSketchAggUnion(
     right.eval() match {
       case null => 12
       case lgk: Int => lgk
-      case _ => throw new SparkUnsupportedOperationException(
-        s"Unsupported input type ${right.dataType.catalogString}",
-        Map("dataType" -> dataType.toString))
+      case _ => throw new IllegalArgumentException(
+        s"Unsupported input type ${right.dataType.catalogString}")
     }
   }
 
@@ -97,9 +95,8 @@ case class ThetaSketchAggUnion(
       left.dataType match {
         case ThetaSketchType =>
           wrapper.union.get.union(Sketch.wrap(Memory.wrap(bytes.asInstanceOf[Array[Byte]])))
-        case _ => throw new SparkUnsupportedOperationException(
-          s"Unsupported input type ${left.dataType.catalogString}",
-          Map("dataType" -> dataType.toString))
+        case _ => throw new IllegalArgumentException(
+          s"Unsupported input type ${left.dataType.catalogString}")
       }
     }
     wrapper