Ubuntu 14.10 下使用IDEA开发Spark应用

Ubuntu 14.10 下使用IDEA开发Spark应用

1 环境准备

  1.1 下载IDEA,可在官网下载

  1.2 IDEA与Eclipse有点不同,IDEA中的New Projects相当于Eclipse中的workspace,New Module才是新建工程

2 建立Spark程序

  2.1 首先新建项目,New Projects,名字随便取:Create New Project -> Scala -> SBT -> 创建名为SparkExample的project

  2.2 创建Module,New Module,名字随便取:New Module-> Scala -> Scala,创建名为FirstApp

  2.3 设置FirstApp 的Project Structure

    2.3.1 增加源码目录,目录结构自己设置

    2.3.2 增加Jar包,File -> Project Structure -> Libraries -> + -> java ->  选择

      spark-assembly-1.0.0-hadoop2.2.0.jar

      scala-library.jar

  2.4 编写代码,在源码包下新建Object,这里找了三个Demo

import org.apache.spark._
import scala.math.random
/**
 * Created by hadoop on 15-3-21.
 */
object SparkPi {
  def main (args: Array[String]) {
    val conf = new SparkConf().setAppName("Spark Pi")
    val spark = new SparkContext(conf)
    val slices = if(args.length > 0) args(0).toInt else 2
    val n = 100000 * slices
    val count = spark.parallelize(1 to n,slices).map{ i =>
      val x = random * 2 - 1
      val y = random * 2 - 1
      if(x*x + y*y < 1) 1 else 0
    }.reduce(_+_)
    println("Pi is roughly " + 4.0 * count / n)

    spark.stop()
  }
}
import org.apache.spark.{SparkContext,SparkConf}
import org.apache.spark.SparkContext._

/**
 * Created by hadoop on 15-3-21.
 */
object WordCount1 {
  def main (args: Array[String]) {
    if(args.length == 0){
      System.err.println("Usage: WordCount1 <file1>")
      System.exit(1)
    }

    val conf = new SparkConf().setAppName("WordCount1")
    val sc = new SparkContext(conf)
    sc.textFile(args(0)).flatMap(_.split(" ")).map(x => (x,1)).reduceByKey(_+_).take(10).foreach(println)
    sc.stop()
  }
}
import org.apache.spark.{SparkContext, SparkConf}
import org.apache.spark.SparkContext._

/**
 * Created by hadoop on 15-3-21.
 */
object WordCount2 {
  def main(args: Array[String]) {
    if (args.length == 0) {
      System.err.println("Usage: WordCount2 <file1>")
      System.exit(1)
    }

    val conf = new SparkConf().setAppName("WordCount2")
    val sc = new SparkContext(conf)
    sc.textFile(args(0)).flatMap(_.split(" ")).map(x => (x,1)).reduceByKey(_+_).map(x =>
      (x._2,x._1)).sortByKey(false).map(x => (x._2,x._1)).take(10).foreach(println)

    sc.stop()
  }
}

  2.5 生成Jar包

  生成程序包之前要先建立一个artifacts,File -> Project Structure -> Artifacts  -> + -> Jars -> From moudles with dependencies,然后随便选一个class作为主class。

  按OK后,对artifacts进行配置,修改Name为FirstApp,删除Output Layout中FirstApp.jar中的几个依赖包,只剩FirstApp项目本身。

  按OK后, Build -> Build Artifacts -> FirstApp -> rebuild进行打包,经过编译后,程序包放置在out/artifacts/FirstApp目录下,文件名为FirstApp.jar。

3 测试Jar包,下图摘自http://blog.csdn.net/book_mmicky/article/details/25714545,需要修改Jar包名称,HDFS路径

  Ubuntu 14.10 下使用IDEA开发Spark应用

参考:http://www.aboutyun.com/thread-8404-1-1.html

   http://blog.csdn.net/book_mmicky/article/details/25714545

   http://blog.csdn.net/david_xtd/article/details/19081341