1.Wordcount.scala(本地模式) package com.Mars.spark import org.apache.spark.{SparkConf, SparkContext} /** * Created by Mars on 2017/1/11. */ object Wordcount { def main(args: Array[String]) { val conf = new SparkConf().setAppName("SparkwordcountApp")…

Spark WordCount的两种方式. 语言:Java 工具:Idea 项目:Java Maven pom.xml如下: <properties> <spark.version>1.2.0</spark.version> </properties> <dependencies> <dependency> <groupId>org.apache.spark</groupId> <artifactId&g…

spark wordcount中一共经历多少个RDD?以及RDD提供的toDebugString    在控制台输入spark-shell   系统会默认创建一个SparkContext   sc https://blog.csdn.net/zhongqi2513/article/details/81513587 spark程序集群提交, spark-submit的学习 https://vimsky.com/article/3491.html…

Scala所需依赖 <dependency> <groupId>org.scala-lang</groupId> <artifactId>scala-library</artifactId> <version>2.11.8</version> </dependency> Scala WordCount代码 val source: List[String] = Source.fromFile("./sr…

spark wordcount程序 IllegalAccessError错误 这个错误是权限错误,错误的引用方法,比如方法中调用private,protect方法. 当然大家知道wordcount业务很简单,都是调用依赖的方法,最后在一篇博客讲了错误:spark 2.2 读取 Hadoop3.0 数据异常 我试了下,解决了,我没有像他依赖那么多. Exception in thread "main" java.lang.IllegalAccessError: class org.apa…

  原文地址:http://mzorro.me/post/55c85d06e40daa9d022f3cbd   WordCount可以说是分布式数据处理框架的”Hello World”,我们可以以它为例来剖析一个Spark Job的执行全过程. 我们要执行的代码为: sc.textFile("hdfs://...").flatMap(_.split(" ")).map((_, 1)).reduceByKey(_+_).collect 只有一行,很简单也很经典的代码.…

一.使用数据 Apache Spark is a fast and general-purpose cluster computing system.It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools inc…

WordCount.Scala代码如下: package com.husor.Spark /** * Created by huxiu on 2014/11/26. */ import org.apache.spark.{SparkContext, SparkConf} import org.apache.spark.SparkContext._ object SparkWordCount { def main(args: Array[String]) { println("Test is st…

使用的ide是eclipse package com.luogankun.spark.base import org.apache.spark.SparkConf import org.apache.spark.SparkContext import org.apache.spark.SparkContext._ /** * 统计字符出现次数 */ object WordCount { def main(args: Array[String]) { if (args.length < 1) {…

val conf: SparkConf = new SparkConf().setMaster(Local[*]).setAppName("wordCount") val sc=new SparkContext(conf) sc.textFile("/input").flatMap(" ").map((_,1)).reduceByKey(_+_).saveAsTextFile("/output") sc.stop val co…