如何将带有dataType Seq[row] => Seq[row]的函数添加到dataFrame

import org.apache.spark.sql.{DataFrame, SparkSession}
import org.apache.spark.sql.expressions.UserDefinedFunction
import org.apache.spark.sql.functions.udf

val spark = SparkSession.builder()
  .appName("Example")
  .master("local")
  .getOrCreate()

val df = spark.createDataFrame(Seq((1, "John"), (2, "Mike"), (3, "Lisa")))
  .toDF("id", "name")

df.createOrReplaceTempView("myTable")

def uppercaseNames(names: Seq[String]): Seq[String] = {
  names.map(_.toUpperCase)
}

val uppercaseNamesUDF: UserDefinedFunction = udf(uppercaseNames _)

val resultDF: DataFrame = df.withColumn("uppercaseNames", uppercaseNamesUDF(df("name")))
resultDF.show()

+---+----+----------------+
|id |name|uppercaseNames  |
+---+----+----------------+
|1  |John|JOHN            |
|2  |Mike|MIKE            |
|3  |Lisa|LISA            |
+---+----+----------------+