大三寒假学习 spark学习 第一个spark应用程序WorldCount

在spark-shell进行词频统计：

flatMap将每一行按空格才分成为单词，map映射生成键值对，将单词计数，reduceByKey将相同单词叠加

wordCount.collect()将结果汇集，针对集群

结果：

编写独立程序进行词频统计：

新建wordCount.scala写入以下代码

import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.SparkConf
object WordCount{
        def main(args:Array[String]){
                val inputFile = "file:///opt/module/data/english.txt"
                val conf = new SparkConf().setAppName("WordCount").setMaster("local[2]")
                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)
        }
}

打包：/opt/module/sbt/sbt package

spark-submit提交：/opt/module/spark-3.1.2/bin/spark-submit --class "WordCount" /opt/module/sbt/mycode/target/scala-2.12/simple-project_2.12-1.0.jar

运行结果：

标签：opt,val,WordCount,wordCount,module,学习,WorldCount,spark
来源： https://www.cnblogs.com/fengchuiguobanxia/p/15840980.html