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）