Replace 'withColumns' with 'select'

'withColumns' was introduced in Spark 3.3, so it won't
work for Deequ's <3.3 builds.

src/main/scala/com/amazon/deequ/VerificationResult.scala

@@ -31,7 +31,7 @@ import com.amazon.deequ.repository.SimpleResultSerde
 import org.apache.spark.sql.Column
 import org.apache.spark.sql.DataFrame
 import org.apache.spark.sql.SparkSession
-import org.apache.spark.sql.functions.monotonically_increasing_id
+import org.apache.spark.sql.functions.{col, monotonically_increasing_id}
 
 import java.util.UUID
 
@@ -96,9 +96,10 @@ object VerificationResult {
       data: DataFrame): DataFrame = {
 
     val columnNamesToMetrics: Map[String, Column] = verificationResultToColumn(verificationResult)
+    val columnsAliased = columnNamesToMetrics.toSeq.map { case (name, col) => col.as(name) }
 
     val dataWithID = data.withColumn(UNIQUENESS_ID, monotonically_increasing_id())
-    dataWithID.withColumns(columnNamesToMetrics).drop(UNIQUENESS_ID)
+    dataWithID.select(col("*") +: columnsAliased: _*).drop(UNIQUENESS_ID)
   }
 
   def checkResultsAsJson(verificationResult: VerificationResult,