import org.apache.hadoop.fs.{Path, FileSystem}

import org.apache.spark.SparkConf

import org.apache.spark.SparkContext

class WordCount {

}

/**

• 处理目录下每个文件，进行wordcount计算，并将结果保存为list
  */
  object WordCount {

def main(args: Array[String]) {

val conf = new SparkConf().setAppName("WordCount")

val sc = new SparkContext(conf)

var resultList = List // 保存结果集

val fs = FileSystem.get(new java.net.URI("hdfs://cluster1"), new org.apache.hadoop.conf.Configuration())  .listStatus(new Path(args(0)))for (f <- fs) {  println("YTQ-FilePath => " + f.getPath.toString)  resultList = resultList ::: sc.textFile(f.getPath.toString).    flatMap(_.split("\t")).map((_, 1)).reduceByKey(_ + _).collect.toList}// 再次处理最后的结果集sc.parallelize(resultList).reduceByKey(_ + _).saveAsTextFile(args(1))sc.stop()

}

}