IntelliJ IDEA开发Spark的Maven项目Scala语言

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1、Maven管理项目在JavaEE普遍使用，开发Spark项目也不例外，而Scala语言开发Spark项目的首选。因此需要构建Maven-Scala项目来开发Spark项目，本文采用的工具是IntelliJ IDEA 2016，IDEA工具越来越被大家认可，开发java, python ,scala 支持都非常好，安装直接下一步即可。

2、安装scala插件，File->Settings->Editor->Plugins,搜索scala即可安装。

3、创建Maven工程，File->New Project->Maven

选择相应的JDK版本，直接下一步，设定Maven项目的GroupId及ArifactId，创建项目的工程名称，点击完成即可。

创建Maven工程完毕，默认是Java的，没关系后面我们再添加scala与spark的依赖

4、修改Maven项目的pom.xml文件，增加scala与spark的依赖

<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.new.test</groupId>
  <artifactId>mySecondPorject</artifactId>
  <version>1.0-SNAPSHOT</version>


  <properties>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    <spark.version>1.6.0</spark.version>
    <scala.version>2.10</scala.version>
    <hadoop.version>2.6.0</hadoop.version>
  </properties>

  <dependencies>
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-core_${scala.version}</artifactId>
      <version>${spark.version}</version>
    </dependency>
    <dependency>
      <!--<groupId>org.apache.spark</groupId>-->
      <!--<artifactId>spark-sql_${scala.version}</artifactId>-->
      <!--<version>${scala.version}</version>-->
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-sql_2.10</artifactId>
      <version>1.5.1</version>
    </dependency>

    <dependency>
      <groupId>org.apache.hbase</groupId>
      <artifactId>hbase-common</artifactId>
      <version>1.3.1</version>
    </dependency>
    <dependency>
      <groupId>org.apache.hbase</groupId>
      <artifactId>hbase-server</artifactId>
      <version>1.3.1</version>
    </dependency>
    <dependency>
      <groupId>org.apache.kafka</groupId>
      <artifactId>kafka_2.10</artifactId>
      <version>0.8.2.0</version>
    </dependency>
    <dependency>
      <groupId>org.apache.kafka</groupId>
      <artifactId>kafka-clients</artifactId>
      <version>0.8.2.0</version>
    </dependency>
    <dependency>
      <groupId>org.apache.zookeeper</groupId>
      <artifactId>zookeeper</artifactId>
      <version>3.4.10</version>
    </dependency>
    <dependency>
      <groupId>org.apache.hadoop</groupId>
      <artifactId>hadoop-common</artifactId>
      <version>2.7.1</version>
    </dependency>
    <dependency>
      <groupId>org.apache.hadoop</groupId>
      <artifactId>hadoop-hdfs</artifactId>
      <version>2.7.1</version>
    </dependency>
    <dependency>
      <groupId>org.scala-lang</groupId>
      <artifactId>scala-library</artifactId>
      <version>2.10.4</version>
    </dependency>
    <dependency>
      <groupId>junit</groupId>
      <artifactId>junit</artifactId>
      <version>4.12</version>
      <scope>test</scope>
    </dependency>
    <dependency>
      <groupId>org.specs</groupId>
      <artifactId>specs</artifactId>
      <version>1.2.5</version>
      <scope>test</scope>
    </dependency>
    <dependency>
      <groupId>commons-logging</groupId>
      <artifactId>commons-logging</artifactId>
      <version>1.1.1</version>
      <type>jar</type>
    </dependency>
    <dependency>
      <groupId>org.apache.commons</groupId>
      <artifactId>commons-lang3</artifactId>
      <version>3.1</version>
    </dependency>
    <dependency>
      <groupId>log4j</groupId>
      <artifactId>log4j</artifactId>
      <version>1.2.12</version>
    </dependency>
  </dependencies>

  <build>
    <sourceDirectory>src/main/scala</sourceDirectory>
    <testSourceDirectory>src/test/scala</testSourceDirectory>

    <plugins>
      <plugin>
        <!-- MAVEN 编译使用的JDK版本 -->
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-compiler-plugin</artifactId>
        <version>3.3</version>
        <configuration>
          <source>1.8</source>
          <target>1.8</target>
          <encoding>UTF-8</encoding>
        </configuration>
      </plugin>
    </plugins>
  </build>

</project>

5、删除项目的java目录，新建scala并设置源文件夹

添加scala的SDK（在全局里加SDK）

 并且右击，选copy to Project Libraries..

6、开发Spark实例

7、打包编译，线上发布

IntelliJ IDEA开发Spark的Maven项目Scala语言

标签：ges   settings   client   alt   dir   hot   设置   log4   3.1   

原文地址：http://www.cnblogs.com/cindy-zl24/p/7607146.html