Spark 编程模型(中)

先在IDEA新建一个maven项目

我这里用的是jdk1.8,选择相应的骨架

这里选择本地在window下安装的maven

新的项目创建成功

我的开始pom.xml文件配置

<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.</modelVersion>

  <groupId>com.gong.spark</groupId>

  <artifactId>learning-spark</artifactId>

  <version>1.0-SNAPSHOT</version>

  <inceptionYear></inceptionYear>

  <properties>

    <scala.version>2.10.</scala.version>

    <spark.version>1.6.</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.</version>

      <scope>test</scope>

    </dependency>

    <!--spark-->

    <dependency>

      <groupId>org.apache.spark</groupId>

      <artifactId>spark-core_2.</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.</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>

先在终端下试下打包

可以看到失败了！！！

把这几个生成默认的东西删除掉

再次测试

成功了

把他clean一下

进入自己在虚拟机安装的centos里面的spark

先测试一下spark环境有没有问题

OK运行成，环境没问题！

1.创建RDD

方式一：从集合创建RDD

回到idea,在main路径下新建java目录，并且对其以下操作：

在test路径下新建java目录，对其以下操作：

建包

在当前包下起个名字，其实也就是在这个包的路径下再建下一级目录

因为我们现在要写的是java程序，所以新建一个java类

写个简单的程序测下运行一下

OK没问题，可以运行！

把这里的这个插件由原来的1.5改成1.8，因为刚刚跑的时候有警告

在这里新建一个包，具体怎么操作这里就不重复了

插入之前写好的MyJavaWordCount.java的代码

MyJavaWordCount.java参考代码

package com.gong.spark.chap2_3;

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;

public class MyJavaWordCount {

     public  static  void main(String[] args){

         //参数检查

  if(args.length<) {

      System.err.println("Usage:MyJavaCount <input> <output>");

      System.exit();

  }

         //获取参数

     String input=args[];

     String output=args[];

         //创建java版本的SparkContext

         SparkConf conf=new SparkConf().setAppName("MyJavaWordCount");

         JavaSparkContext sc = new JavaSparkContext(conf);

         //读取数据

         JavaRDD<String> inputRdd=sc.textFile(input);

         //进行相关计算

        JavaRDD<String> words=inputRdd.flatMap(new FlatMapFunction<String, String>() {

            public Iterable<String> 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,);

             }

         }).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();

     }

}

把之前写好的scala版本的WordCount程序放进来

参考代码：

package com.gong.spark

import org.apache.spark.{SparkConf, SparkContext}

object MyWordCount {

 def main(args: Array[String]):Unit={

   //参数检查

 if(args.length<){

   System.err.println("Usage:MyWordCount <input> <output>")

   System.exit()

 }

   //获取参数

  val input=args()

  val output=args()

    //创建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((_,)).reduceByKey(_+_)

   //保存结果

   resultRdd.saveAsTextFile(output)

   sc.stop()

 }

}