Scala中的流程(包括:sc.textfile=>flatmap=>map=>reduceByKey等阶段,以及输出分区的个数)【Scala纯代码】

package com.bjsxt.spark

import org.apache.spark.SparkConf
import org.apache.spark.SparkContext

object map {
  def main(args: Array[String]): Unit = {
    val conf = new SparkConf().setAppName("test").setMaster("local")
    val sc=new SparkContext(conf)
    val lines=sc.textFile("./words");
    val words =lines.flatMap(line=>{
      line.split(" ")  
    })
    val pairWords=words.map(word=>{
      new Tuple2(word,1)  
      
    })
    println("pairwords partitions ="+pairWords.partitions.length)
    val reduceResult=pairWords.reduceByKey((v1,v2)=>{v1+v2},3)
    println("pairwords partitions ="+reduceResult.partitions.length)
    val result =reduceResult.sortBy(tuple=>{tuple._2},false)
      result.foreach(tuple=>{
        println(tuple)
      })
      
      
    
    
    sc.stop()
    
  }
  
}

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转载自blog.csdn.net/wyqwilliam/article/details/81143911