如何在spark中使用scala过滤Rdd中的数据并将其保存为文本文件

import org.apache.spark.{SparkConf, SparkContext}

val conf = new SparkConf().setAppName("FilterRDDExample").setMaster("local")

val sc = new SparkContext(conf)

val data = sc.parallelize(Seq(1, 2, 3, 4, 5, 6, 7, 8, 9, 10))

val filteredData = data.filter(_ > 5)

filteredData.saveAsTextFile("output.txt")

import org.apache.spark.{SparkConf, SparkContext}

object FilterRDDExample {
  def main(args: Array[String]): Unit = {
    val conf = new SparkConf().setAppName("FilterRDDExample").setMaster("local")
    val sc = new SparkContext(conf)

    val data = sc.parallelize(Seq(1, 2, 3, 4, 5, 6, 7, 8, 9, 10))
    val filteredData = data.filter(_ > 5)
    filteredData.saveAsTextFile("output.txt")

    sc.stop()
  }
}