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