Spark编程环境搭建

基于Intellij IDEA搭建Spark开发环境搭

基于Intellij IDEA搭建Spark开发环境搭——参考文档

● 参考文档http://spark.apache.org/docs/latest/programming-guide.html

● 操作步骤

a)创建maven 项目

b)引入依赖（Spark 依赖、打包插件等等）

基于Intellij IDEA搭建Spark开发环境—maven vs sbt

● 哪个熟悉用哪个

● Maven也可以构建scala项目

基于Intellij IDEA搭建Spark开发环境搭—maven构建scala项目

● 参考文档http://docs.scala-lang.org/tutorials/scala-with-maven.html

● 操作步骤

a)用maven构建scala项目(基于net.alchim31.maven:scala-archetype-simple)

b)pom.xml引入依赖(spark依赖、打包插件等等)

注意：scala与java版本的兼容性

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>com.dajiangtai.test</groupId> <artifactId>test-spark</artifactId> <version>1.0-SNAPSHOT</version> <name>myWordCount</name> <inceptionYear>2008</inceptionYear> <properties> <scala.version>2.10.5</scala.version> <spark.version>1.6.1</spark.version> </properties> <repositories> <repository> <id>scala-tools.org</id> <name>Scala-Tools Maven2 Repository</name> <url>http://scala-tools.org/repo-releases</url> </repository> </repositories> <pluginRepositories> <pluginRepository> <id>scala-tools.org</id> <name>Scala-Tools Maven2 Repository</name> <url>http://scala-tools.org/repo-releases</url> </pluginRepository> </pluginRepositories> <dependencies> <dependency> <groupId>org.scala-lang</groupId> <artifactId>scala-library</artifactId> <version>${scala.version}</version> </dependency> <dependency> <groupId>junit</groupId> <artifactId>junit</artifactId> <version>4.4</version> <scope>test</scope> </dependency> <dependency> <groupId>org.specs</groupId> <artifactId>specs</artifactId> <version>1.2.5</version> <scope>test</scope> </dependency> <!--spark --> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-core_2.10</artifactId> <version>${spark.version}</version> <scope>provided</scope> </dependency> </dependencies> <build> <!-- <sourceDirectory>src/main/scala</sourceDirectory> <testSourceDirectory>src/test/scala</testSourceDirectory> --> <plugins> <plugin> <groupId>org.scala-tools</groupId> <artifactId>maven-scala-plugin</artifactId> <executions> <execution> <goals> <goal>compile</goal> <goal>testCompile</goal> </goals> </execution> </executions> <configuration> <scalaVersion>${scala.version}</scalaVersion> <args> <arg>-target:jvm-1.5</arg> </args> </configuration> </plugin> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-eclipse-plugin</artifactId> <configuration> <downloadSources>true</downloadSources> <buildcommands> <buildcommand>ch.epfl.lamp.sdt.core.scalabuilder</buildcommand> </buildcommands> <additionalProjectnatures> <projectnature>ch.epfl.lamp.sdt.core.scalanature</projectnature> </additionalProjectnatures> <classpathContainers> <classpathContainer>org.eclipse.jdt.launching.JRE_CONTAINER</classpathContainer> <classpathContainer>ch.epfl.lamp.sdt.launching.SCALA_CONTAINER</classpathContainer> </classpathContainers> </configuration> </plugin> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-shade-plugin</artifactId> <version>2.4.1</version> <executions> <!-- Run shade goal on package phase --> <execution> <phase>package</phase> <goals> <goal>shade</goal> </goals> <configuration> <transformers> <!-- add Main-Class to manifest file --> <transformerimplementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer"> <!--<mainClass>com.dajiang.MyDriver</mainClass>--> </transformer> </transformers> <createDependencyReducedPom>false</createDependencyReducedPom> </configuration> </execution> </executions> </plugin> </plugins> </build> <reporting> <plugins> <plugin> <groupId>org.scala-tools</groupId> <artifactId>maven-scala-plugin</artifactId> <configuration> <scalaVersion>${scala.version}</scalaVersion> </configuration> </plugin> </plugins> </reporting> </project>

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开发第一个Spark程序

● 第一个Scala版本的spark程序

package com.dajiangtai.test
import org.apache.spark.{SparkConf, SparkContext}

/**
  * Created by lifei on 2016-6-19.
  */
object MyWordCout {
  def main(args: Array[String]): Unit = {
    //参数检查
    if (args.length < 2) {
      System.err.println("Usage: MyWordCout <input> <output> ") System.exit(1) } //获取参数 val input=args(0) val output=args(1) //创建scala版本的SparkContext val conf=new SparkConf().setAppName("myWordCount") val sc=new SparkContext(conf) //读取数据 val lines=sc.textFile(input) //进行相关计算 val resultRdd=lines.flatMap(_.split(" ")).map((_,1)).reduceByKey(_+_) //保存结果 resultRdd.saveAsTextFile(output) sc.stop() } }

● 第一个Java版本的spark程序

package com.dajiangtai.test;

import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.Function2;
import org.apache.spark.api.java.function.PairFunction;
import scala.Tuple2;

import java.util.Arrays;

/**
 * Created by lifei on 2016-6-19.
 */
public class MyJavaWordCount {
    public static void main(String[] args) {
        //参数检查
        if(args.length<2){
            System.err.println("Usage: MyJavaWordCount <input> <output> "); System.exit(1); } //获取参数 String input=args[0]; String output=args[1]; //创建java版本的SparkContext SparkConf conf=new SparkConf().setAppName("MyJavaWordCount"); JavaSparkContext sc=new JavaSparkContext(conf); //读取数据 JavaRDD inputRdd=sc.textFile(input); //进行相关计算 JavaRDD words=inputRdd.flatMap(new FlatMapFunction<string, string="">() { public Iterable call(String line) throws Exception { return Arrays.asList(line.split(" ")); } }); JavaPairRDD<string,integer> result=words.mapToPair(new PairFunction<string, string,="" integer="">() { public Tuple2<string, integer=""> call(String word) throws Exception { return new Tuple2(word,1); } }).reduceByKey(new Function2<integer, integer,="" integer="">() { public Integer call(Integer x, Integer y) throws Exception { return x+y; } }); //保存结果 result.saveAsTextFile(output); //关闭sc sc.stop(); } }

 

 

运行自己开发第一个Spark程序

● Spark maven 项目打包

mvn package

● 提交Spark 集群运行

提交Scala版本的Wordcount

bin/spark-submit --class com.dajiangtai.test.MyWordCount ~/testspark/test-spark-1.0.SNAPSHOT.jar ~/testspark/words.txt ~/testspark/result

提交Java版本的Wordcount

bin/spark-submit --class com.dajiangtai.test.MyJavaWordCount ~/testspark/test-spark-1.0.SNAPSHOT.jar ~/testspark/words.txt ~/testspark/result1