scala的wordcount程序

goods.txt

13059  2019-12-23 06:12:29
15281  2019-12-23 06:12:29
14905  2019-12-23 06:12:29
14622  2019-12-23 06:12:29
19817  2019-12-23 06:12:29
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wc.scala

import org.apache.spark.SparkConf
import org.apache.spark.SparkContext
object wc {
  def main(args: Array[String]): Unit = {
    //指定为root用户
    System.setProperty("HADOOP_USER_NAME", "root")
    //获取conf文件
    val conf = new SparkConf()
      //项目名
      .setAppName("wc")
      //允许本地运行
      .setMaster("local")
    //获取上下文
    val sc = new SparkContext(conf)
    //hdfs上获取源文件
    //14816  2019-12-23 06:12:30
    //14816  2019-12-23 06:12:30
    //11077  2019-12-23 06:12:30
    val lines = sc.textFile("hdfs://10.0.0.20:8020/goods.txt")
    //以\t进行拆分,获取第一个索引
    //14816
    //14816
    //11077
    val words = lines.map(_.split("\t")(0))
    //每个索引末尾加1
    //(14816,1)
    //(14816,1)
    //(11077,1)
    val tulp = words.map((_,1))
    //key相同的进行累加
    //(14816,2)
    //(11077,1)
    val re = tulp.reduceByKey(_+_)
    //将k和v调换位置,再将k降序排序"false"再调换k和v
    val jx = re.map(x => (x._2,x._1)).sortByKey(false ).map(x => (x._2,x._1))
    //转为字符串以\t进行分割
    //14816 2
    //11077 1
    val str = jx.map( x=> {x._1 + "\t" + x._2})
    //结果输出到hdfs上
    str.saveAsTextFile("hdfs://10.0.0.20:8020/sp/wc2")
  }
}

结果

详情 http://www.dhhblog.com/?p=1231

来源：CSDN

作者：大浩浩blog

链接：https://blog.csdn.net/qq_43296870/article/details/103898153