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package com.yl.wordcount
import java.io.File
import org.apache.spark.{SparkConf, SparkContext}
import scala.collection.Iterator
import scala.io.Source
/**
* wordcount进行排序并排除停用词
*/
object WordCountStopWords {
def main(args: Array[String]) {
val conf = new SparkConf().setMaster("spark://localhost:7077").setAppName("wordcount")
val sc = new SparkContext(conf)
val outFile = "/Users/admin/spark/sparkoutput"
var stopWords:Iterator[String] = null
val stopWordsFile = new File("/Users/admin/src"+"/tingyongci.txt")
if(stopWordsFile.exists()){
stopWords = Source.fromFile(stopWordsFile).getLines
}
val stopWordList = stopWords.toList
val textFile = sc.textFile("/Users/admin/spark/spark-1.5.1-bin-hadoop2.4/README.md")
val result = textFile.flatMap(_.split(" ")).filter(!_.isEmpty).filter(!stopWordList.contains(_)).map((_,1)).reduceByKey(_+_).map{case (word,count) =>(count,word)}.sortByKey(false)
result.saveAsTextFile(outFile)
}
}
三、spark入门:文本中发现5个最常用的word,排除常用停用词
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原文地址:http://www.cnblogs.com/ylcoder/p/5730947.html