标签：sha manifest dir pre 运行 ext stop mpi attr
为什么，我要在这里提出要用Ultimate版本。
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
a)哪个熟悉用哪个
b)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)
spark-helloworld
E:\Code\IntelliJIDEAUltimateVersionCode\spark-helloworld
因为，我本地的scala版本是2.10.5
其实，这个就是windows里的cmd终端，只是IDEA它把这个cmd终端集成到这了。
mvn clean package
这只是做个测试而已。
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>${scala.version}</scalaVersion>
<args>
<arg>-target:jvm-1.5</arg>
</args>
</configuration>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-eclipse-plugin</artifactId>
<configuration>
<downloadSources>true</downloadSources>
<buildcommands>
<buildcommand>ch.epfl.lamp.sdt.core.scalabuilder</buildcommand>
</buildcommands>
<additionalProjectnatures>
<projectnature>ch.epfl.lamp.sdt.core.scalanature</projectnature>
</additionalProjectnatures>
<classpathContainers>
<classpathContainer>org.eclipse.jdt.launching.JRE_CONTAINER</classpathContainer>
<classpathContainer>ch.epfl.lamp.sdt.launching.SCALA_CONTAINER</classpathContainer>
</classpathContainers>
</configuration>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>2.4.1</version>
<executions>
<!-- Run shade goal on package phase -->
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<transformers>
<!-- add Main-Class to manifest file -->
<transformer
implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
<!--<mainClass>com.dajiang.MyDriver</mainClass>-->
</transformer>
</transformers>
<createDependencyReducedPom>false</createDependencyReducedPom>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
<reporting>
<plugins>
<plugin>
<groupId>org.scala-tools</groupId>
<artifactId>maven-scala-plugin</artifactId>
<configuration>
<scalaVersion>${scala.version}</scalaVersion>
</configuration>
</plugin>
</plugins>
</reporting>
</project>
为了养成，开发规范。
默认，创建是没有生效的，比如做如下，才能生效。
同样，对于下面的单元测试，也是一样
默认，也是没有生效的。
必须做如下的动作，才能生效。
a) 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() }
b) 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() { public Iterable call(String line) throws Exception { return Arrays.asList(line.split(" ")); } }); JavaPairRDD result=words.mapToPair(new PairFunction() { public Tuple2 call(String word) throws Exception { return new Tuple2(word,1); } }).reduceByKey(new Function2() { public Integer call(Integer x, Integer y) throws Exception { return x+y; } }); //保存结果 result.saveAsTextFile(output); //关闭sc sc.stop(); } }
Spark maven 项目打包
mvn package
提交Spark 集群运行
a) 提交Scala版本的Wordcount
bin/spark-submit --class com.zhouls.test.MyWordCount ~/testspark/test-spark-1.0.SNAPSHOT.jar ~/testspark/words.txt ~/testspark/result
b) 提交Java版本的Wordcount
bin/spark-submit --class com.zhouls.test.MyJavaWordCount ~/testspark/test-spark-1.0.SNAPSHOT.jar ~/testspark/words.txt ~/testspark/result1
成功！
Spark编程环境搭建（基于Intellij IDEA的Ultimate版本）
标签：sha manifest dir pre 运行 ext stop mpi attr
原文地址：http://www.cnblogs.com/zlslch/p/6607599.html
