从Spark RDD中提取数据，并在scala中填充元组

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

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

val sc = new SparkContext(conf)

val dataRDD = sc.parallelize(Seq(1, 2, 3, 4, 5))
val extractedData = dataRDD.collect()

val filledTuple = extractedData.map(x => (x, x * 2))

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

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

    val dataRDD = sc.parallelize(Seq(1, 2, 3, 4, 5))
    val extractedData = dataRDD.collect()

    val filledTuple = extractedData.map(x => (x, x * 2))

    filledTuple.foreach(println)

    sc.stop()
  }
}