对于maven创建spark项目的pom.xml配置文件(图文详解)

时间:2021-10-01 16:42:45

  不多说,直接上干货!

http://mvnrepository.com/

对于maven创建spark项目的pom.xml配置文件(图文详解)

  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。

对于maven创建spark项目的pom.xml配置文件(图文详解)

  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>

对于maven创建spark项目的pom.xml配置文件(图文详解)

  

  但是呢,我不建议这样。反而是把版本抽取出来,

对于maven创建spark项目的pom.xml配置文件(图文详解)

对于maven创建spark项目的pom.xml配置文件(图文详解)

  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)