spark 开源代码 spark开发工具

IDEA上搭建spark开发环境

我本地系统是windows10，首先IDEA上要安装了scala插件。

1、下载winutils.exe文件

winutils.exe是在Windows系统上需要的hadoop调试环境工具，里面包含一些在Windows系统下调试hadoop、spark所需要的基本的工具类，另外在使用eclipse调试hadoop程序是，也需要winutils.exe，需要配置上面的环境变量

    1）下载winutils，注意需要与hadoop的版本相对应。

    hadoop2.2版本可以在这里下载https:///srccodes/hadoop-common-2.2.0-bin

    hadoop2.6版本可以在这里下载https:///amihalik/hadoop-common-2.6.0-bin

    2）配置环境变量

    增加环境变量：HADOOP_HOME=“XXX\hadoop-common-2.2.0-bin”

    添加path：%HADOOP_HOME%\bin

 

2、IDEA中新建maven工程：

配置pom.xml，选择对应的scala版本和spark版本：

<project xmlns="http:///POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http:///POM/4.0.0 http:///maven-v4_0_0.xsd">
  <modelVersion>4.0.0</modelVersion>
  <groupId>top.ruandb</groupId>
  <artifactId>wordcount</artifactId>
  <version>1.0-SNAPSHOT</version>
  <inceptionYear>2008</inceptionYear>
  <properties>
    <scala.version>2.7.0</scala.version>
    <maven.compiler.source>1.8</maven.compiler.source>
    <maven.compiler.target>1.8</maven.compiler.target>
    <scala.version>2.11.8</scala.version>
    <spark.version>2.1.1</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>
    <!--scala-->
    <dependency>
      <groupId>org.scala-lang</groupId>
      <artifactId>scala-library</artifactId>
      <version>${scala.version}</version>
    </dependency>
    <!--spark-core-->
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-core_2.11</artifactId>
      <version>${spark.version}</version>
    </dependency>
    <!--junit-->
    <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>
  </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>${scala.version}</scalaVersion>
          <args>
            <arg>-target:jvm-1.5</arg>
          </args>
        </configuration>
      </plugin>
      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-eclipse-plugin</artifactId>
        <configuration>
          <downloadSources>true</downloadSources>
          <buildcommands>
            <buildcommand>ch.epfl.lamp.sdt.core.scalabuilder</buildcommand>
          </buildcommands>
          <additionalProjectnatures>
            <projectnature>ch.epfl.lamp.sdt.core.scalanature</projectnature>
          </additionalProjectnatures>
          <classpathContainers>
            <classpathContainer>org.eclipse.jdt.launching.JRE_CONTAINER</classpathContainer>
            <classpathContainer>ch.epfl.lamp.sdt.launching.SCALA_CONTAINER</classpathContainer>
          </classpathContainers>
        </configuration>
      </plugin>
    </plugins>
  </build>
  <reporting>
    <plugins>
      <plugin>
        <groupId>org.scala-tools</groupId>
        <artifactId>maven-scala-plugin</artifactId>
        <configuration>
          <scalaVersion>${scala.version}</scalaVersion>
        </configuration>
      </plugin>
    </plugins>
  </reporting>
</project>

 

3、wordcount测试

word.txt：

hello word hello hello
word lucy lucy english rdd

WordCountApp:

package top.ruandb
import org.apache.spark.{SparkConf, SparkContext}
object WordCountApp {
 
  def main(args: Array[String]): Unit = {
    //创建sparkConf,并设置app名称和运行模式
    val sparkConf = new SparkConf()
    sparkConf.setAppName("WordCount").setMaster("local[2]")
    //创建spark context
    val sc = new SparkContext(sparkConf)
    //wordcount 处理逻辑
    sc.textFile("D:\\spark\\word.txt").flatMap(_.split(" ")).map((_, 1)).
      reduceByKey(_ + _, 1).sortBy(_._2, false).
      saveAsTextFile("D:\\spark\\wordcount")
    //关闭spark context
    sc.stop()
  }
}

运行结果：

 

part-00000:

(hello,3)
(word,2)
(lucy,2)
(rdd,1)
(english,1)