Remove the unnecessary parameter dataType in resolveColumnVector meth…

…od (#4340)

Signed-off-by: Firestarman <firestarmanllc@gmail.com>

sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuExpandExec.scala

@@ -163,7 +163,7 @@ class GpuExpandIterator(
         val (cv, nullColumnReused) = expr.columnarEval(cb) match {
           case null => getOrCreateNullCV(sparkType)
           case other =>
-            (GpuExpressionsUtils.resolveColumnVector(other, cb.numRows, sparkType), false)
+            (GpuExpressionsUtils.resolveColumnVector(other, cb.numRows), false)
         }
         if (!nullColumnReused) {
           uniqueDeviceColumns += cv

sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuExpressions.scala

@@ -23,7 +23,7 @@ import com.nvidia.spark.rapids.shims.v2.{ShimBinaryExpression, ShimExpression, S
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.expressions.codegen.{CodegenContext, ExprCode}
-import org.apache.spark.sql.types.{DataType, StringType}
+import org.apache.spark.sql.types.StringType
 import org.apache.spark.sql.vectorized.ColumnarBatch
 import org.apache.spark.unsafe.types.UTF8String
 
@@ -64,15 +64,14 @@ object GpuExpressionsUtils extends Arm {
    * should cover all the cases for GPU pipelines.
    *
    * @param any the input value. It will be closed if it is a closeable after the call done.
-   * @param numRows the expected row number of the output column, used when 'any' is a Scalar.
-   * @param dType the data type of the output column, used when 'any' is a Scalar.
+   * @param numRows the expected row number of the output column, used when 'any' is a GpuScalar.
    * @return a `GpuColumnVector` if it succeeds. Users should close the column vector to avoid
    *         memory leak.
    */
-  def resolveColumnVector(any: Any, numRows: Int, dType: DataType): GpuColumnVector = {
+  def resolveColumnVector(any: Any, numRows: Int): GpuColumnVector = {
     withResourceIfAllowed(any) {
       case c: GpuColumnVector => c.incRefCount()
-      case s: GpuScalar => GpuColumnVector.from(s, numRows, dType)
+      case s: GpuScalar => GpuColumnVector.from(s, numRows, s.dataType)
       case other =>
         throw new IllegalArgumentException(s"Cannot resolve a ColumnVector from the value:" +
           s" $other. Please convert it to a GpuScalar or a GpuColumnVector before returning.")
@@ -91,7 +90,7 @@ object GpuExpressionsUtils extends Arm {
    *         memory leak.
    */
   def columnarEvalToColumn(expr: Expression, batch: ColumnarBatch): GpuColumnVector =
-    resolveColumnVector(expr.columnarEval(batch), batch.numRows, expr.dataType)
+    resolveColumnVector(expr.columnarEval(batch), batch.numRows)
 
   /**
    * Extract the GpuLiteral