对于maven创建spark项目的pom.xml配置文件（图文详解）

　　不多说，直接上干货！

http://mvnrepository.com/

　　这里，怎么创建，见

Spark编程环境搭建（基于Intellij IDEA的Ultimate版本）（包含Java和Scala版的WordCount）（博主强烈推荐)

　　这里， 我重点说下spark项目，因为，对于hadoop这样的，我已经写了大量博客了。

　　比如，我目前用得较多的spark-mllib。

　　这里spark-mllib_2.10 就是你的scala版本是2.10.X系列。比如我一般是使用scala-2.10.4。

　　这里spark-mllib_2.11 就是你的scala版本是2.11.X系列。

　　同时，大家要养成规范，http://mvnrepository.com里是示例如下

<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-mllib_2.10 -->

<dependency>

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

    <artifactId>spark-mllib_2.</artifactId>

    <version>2.2.</version>

    <scope>provided</scope>

</dependency>

　　

　　但是呢，我不建议这样。反而是把版本抽取出来，

　　以下是我的maven构建出来的spark项目的pom.xml，大家可以作为参考下。当然这不是最规范的。

<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>zhouls.bigdata</groupId>

  <artifactId>SparkMllibBook</artifactId>

  <version>1.0-SNAPSHOT</version>

  <inceptionYear></inceptionYear>

  <properties>

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

    <project.build.sourceEncoding>UTF-</project.build.sourceEncoding>

    <hadoop.version>2.6.</hadoop.version>

    <spark.version>2.2.</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>

    <dependency>

      <groupId>org.apache.hadoop</groupId>

      <artifactId>hadoop-common</artifactId>

      <version>${hadoop.version}</version>

      <scope>provided</scope>

    </dependency>

    <dependency>

      <groupId>org.apache.hadoop</groupId>

      <artifactId>hadoop-hdfs</artifactId>

      <version>${hadoop.version}</version>

      <scope>provided</scope>

    </dependency>

    <dependency>

      <groupId>org.apache.hadoop</groupId>

      <artifactId>hadoop-mapreduce-client-common</artifactId>

      <version>${hadoop.version}</version>

      <scope>provided</scope>

    </dependency>

    <dependency>

      <groupId>org.apache.hadoop</groupId>

      <artifactId>hadoop-mapreduce-client-core</artifactId>

      <version>${hadoop.version}</version>

      <scope>provided</scope>

    </dependency>

    <dependency>

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

      <artifactId>spark-core_2.</artifactId>

      <version>${spark.version}</version>

      <scope>provided</scope>

    </dependency>

    <dependency>

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

      <artifactId>spark-streaming_2.</artifactId>

      <version>${spark.version}</version>

      <scope>provided</scope>

    </dependency>

    <dependency>

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

      <artifactId>spark-sql_2.</artifactId>

      <version>${spark.version}</version>

      <scope>provided</scope>

    </dependency>

    <dependency>

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

      <artifactId>spark-mllib_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>

    </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>

　　也许，大家在具体执行代码时，出现如下问题

IDEA里运行代码时出现Caused by: java.lang.ClassNotFoundException: org.apache.log4j.Logger的解决办法（图文详解）

IDEA里运行代码时出现Error:scalac: error while loading JUnit4, Scala signature JUnit4 has wrong version expected: 5.0 found: 4.1 in JUnit4.class错误的解决办法（图文详解）