如果输入超过100列，如何使用Scala在Spark中创建模式？

import org.apache.spark.sql.types._
import org.apache.spark.sql.Row

val schema = StructType(
  List(
    StructField("col1", StringType, nullable = true),
    StructField("col2", StringType, nullable = true),
    // 继续添加其他列...
    StructField("col100", StringType, nullable = true)
  )
)

val inputRDD = // 从数据源加载输入数据，例如文本文件或数据库
val rowRDD = inputRDD.map(_.split(",")).map(attributes => Row(attributes(0), attributes(1), /* 继续添加其他列... */, attributes(99)))

val spark = SparkSession.builder().appName("CreateSchemaExample").getOrCreate()
val df = spark.createDataFrame(rowRDD, schema)