如何使用spark将数组转换为Dataframe？

import org.apache.spark.sql.{SparkSession, Row}
import org.apache.spark.sql.types.{StructType, StructField, StringType}

val spark = SparkSession.builder()
  .appName("Array to DataFrame")
  .master("local")
  .getOrCreate()

val arrayData = Seq(
  Row("John", "Doe"),
  Row("Jane", "Smith"),
  Row("Mike", "Johnson")
)

val schema = new StructType()
  .add(StructField("FirstName", StringType, true))
  .add(StructField("LastName", StringType, true))

val df = spark.createDataFrame(spark.sparkContext.parallelize(arrayData), schema)