笔记:尚硅谷大数据Spark-2019

使用IntelliJ Idea编写WordCount程序在Spark上运行

import org.apache.spark.SparkContext
import org.apache.spark.SparkConf
import org.apache.spark.rdd.RDD
object WordCount {
  def  main(args:Array[String]): Unit ={
/*  
//  1.
    val inputFile="file:///usr/local/spark/mycode/word.txt"
    val conf=new SparkConf().setAppName("WordCount").setMaster("local")
    val sc=new SparkContext(conf)
    val textFile=sc.textFile(inputFile)
    val wordCount=(textFile flatMap (line => line.split(" "))).map(word=>(word,1)).reduceByKey((a, b)=>a+b)
    wordCount.foreach(println)*/
//    2.
    val config:SparkConf=new SparkConf().setMaster("local[*]").setAppName("WordCount")
    val sc =new SparkContext(config)
    val lines: RDD[String] = sc.textFile("in/word.txt")
    val words: RDD[String] = lines.flatMap(_.split(" "))
    var wordToOne: RDD[(String, Int)] = words.map((_, 1))
    var wordToSum: RDD[(String, Int)] = wordToOne.reduceByKey(_ + _)
    var result: Array[(String, Int)] = wordToSum.collect()
    result.foreach(println)
  }
}

 将Spark程序部署到Yarn中执行

原文地址:https://www.cnblogs.com/y-c-m520/p/13933574.html