一、目的

在远程电脑的windows系统上，部署远程spark代码开发环境，从而提升效率。

二、环境

1.CDH5.15.2

2.scala2.11.8

三、实现步骤

1.新建scala项目

（1）依据模板建立maven项目

（2）输入项目关键名称

（3）选择本地maven仓库对应配置文件settings.xml

（4）填写项目名称，确认建立项目

（5）修改pom文件中scala对应版本为2.11.8

<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>sparktest</groupId>
  <artifactId>sparktest</artifactId>
  <version>1.0-SNAPSHOT</version>
  <inceptionYear>2008</inceptionYear>
  <properties>
    <scala.version>2.11.8</scala.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>
  </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>

等待项目相关依赖导入

2.创建scala代码：简单wordcount代码

import org.apache.spark.SparkConf
import org.apache.spark.streaming.{Seconds, StreamingContext}
 
/**
  * spark Streaming 处理socket数据
  *
  * 使用nc测试nc -lk 6789
  */
object NetworkWordCount {
  def main(args: Array[String]): Unit = {
    val sparkConf=new SparkConf().setMaster("local[2]").setAppName("NetworkWordCount")
    /***
      * 创建StreamingContext需要sparkConf和batch interval
      */
    val ssc=new StreamingContext(sparkConf,Seconds(5))
 
    val lines=ssc.socketTextStream("bigdata.ibeifeng.com",6789)
 
    val result= lines.flatMap(_.split(" ")).map((_,1)).reduceByKey(_+_)
    result.print()
 
 
    ssc.start()
    ssc.awaitTermination()
  }
}

3.从CM中下载配置文件hive-site.xml以及log4j.properties文件到resources文件夹下

四、测试

1.开启spark

2.开启nc端口

nc -lk 6789

3.运行代码即可~