调用scala方法，将dataframe的每一行作为输入传递

import org.apache.spark.sql.{DataFrame, SparkSession}

object Main {
  def main(args: Array[String]): Unit = {
    // 创建SparkSession
    val spark = SparkSession.builder()
      .appName("DataFrame Example")
      .master("local")
      .getOrCreate()

    // 创建DataFrame
    val data = Seq(
      ("Alice", 25),
      ("Bob", 30),
      ("Charlie", 35)
    )
    val df = spark.createDataFrame(data).toDF("name", "age")

    // 调用Scala方法，将DataFrame的每一行作为输入传递
    df.foreach(row => processRow(row))

    // 关闭SparkSession
    spark.stop()
  }

  // 自定义方法，处理每一行数据
  def processRow(row: org.apache.spark.sql.Row): Unit = {
    val name = row.getAs[String]("name")
    val age = row.getAs[Int]("age")
    println(s"Name: $name, Age: $age")
  }
}