[1.0.2] 详解基于maven管理-scala开发的spark项目开发环境的搭建与测试

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场景

好的，假设项目数据调研与需求分析已接近尾声，马上进入Coding阶段了，辣么在Coding之前需要干马呢？是的，“统一开发工具、开发环境的搭建与本地测试、测试环境的搭建与测试” - 本文详细记录实际spark项目开发环境的搭建。

分析

开发工具

操作系统：win 10
JDK 版本：jdk1.8.0_91
SCALA版本：2.10.6
MAVEN版本：apache-maven-3.3.9
集成开发工具：IntelliJ IDEA 2016.1.3
开发主要语言：scala

开发环境的搭建与测试

一. 搭建过程文档
1、新建一个Maven工程
这里以新建一个名称为fantasia的maven工程为例加以说明。

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设置完了，选择下一步

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设置完了，选择下一步

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点击 finish 后idea会加载maven与junit等相关的插件，可能需要30分钟左右的时间（网速决定）。

2、自定义maven的repository目录
idea内置了maven插件，且默认repository目录为C:\Users\${username}\.m2\repository ,这里我们为项目指定一个新的repository，以方便管理依赖的jar包：

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3、在pom.xml文件中配置相关依赖包
这里一次性导入项目可能用到的jar包，具体内容如下：

<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.pl.bdeu.bigdata</groupId>  <artifactId>fantasia</artifactId>  <version>1.0-SNAPSHOT</version>  <inceptionYear>2008</inceptionYear>  <properties>    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>    <scala.version>2.10.6</scala.version>    <spark.version>1.6.2</spark.version>    <hadoop.version>2.6.0</hadoop.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>${scala.version}</version>    </dependency>    <dependency>      <groupId>junit</groupId>      <artifactId>junit</artifactId>      <version>3.8.1</version>      <scope>test</scope>    </dependency>    <dependency>      <groupId>org.specs</groupId>      <artifactId>specs</artifactId>      <version>1.2.5</version>      <scope>test</scope>    </dependency>    <dependency>      <groupId>org.apache.spark</groupId>      <artifactId>spark-core_2.10</artifactId>      <version>${spark.version}</version>    </dependency>    <dependency>      <groupId>org.apache.spark</groupId>      <artifactId>spark-sql_2.10</artifactId>      <version>${spark.version}</version>    </dependency>    <dependency>      <groupId>org.apache.spark</groupId>      <artifactId>spark-hive_2.10</artifactId>      <version>${spark.version}</version>    </dependency>    <dependency>      <groupId>org.apache.spark</groupId>      <artifactId>spark-streaming_2.10</artifactId>      <version>${spark.version}</version>    </dependency>    <dependency>      <groupId>org.apache.spark</groupId>      <artifactId>spark-mllib_2.10</artifactId>      <version>${spark.version}</version>    </dependency>    <dependency>      <groupId>org.apache.hadoop</groupId>      <artifactId>hadoop-client</artifactId>      <version>${hadoop.version}</version>    </dependency>    <dependency>      <groupId>org.apache.spark</groupId>      <artifactId>spark-streaming-kafka_2.10</artifactId>      <version>${spark.version}</version>    </dependency>    <dependency>      <groupId>mysql</groupId>      <artifactId>mysql-connector-java</artifactId>      <version>5.1.6</version>    </dependency>    <dependency>      <groupId>org.json</groupId>      <artifactId>json</artifactId>      <version>20090211</version>    </dependency>    <dependency>      <groupId>com.fasterxml.jackson.core</groupId>      <artifactId>jackson-core</artifactId>      <version>2.4.3</version>    </dependency>    <dependency>      <groupId>com.fasterxml.jackson.core</groupId>      <artifactId>jackson-databind</artifactId>      <version>2.4.3</version>    </dependency>    <dependency>      <groupId>com.fasterxml.jackson.core</groupId>      <artifactId>jackson-annotations</artifactId>      <version>2.4.3</version>    </dependency>    <dependency>      <groupId>com.alibaba</groupId>      <artifactId>fastjson</artifactId>      <version>1.1.41</version>    </dependency>    <dependency>      <groupId>fastutil</groupId>      <artifactId>fastutil</artifactId>      <version>5.0.9</version>    </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>

4、项目基础架构
新建两个子包：collector与 core
collector:存放数据采集相关spark作业
core:存放核心业务类spark作业
resource目录下存放相关配置文件：数据库连接信息,kafka环境信息等，
其他的后续根据具体模块功能个再自行定义。

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5、本地环境测试
编写 FrameworkExeTest类对框架可用性进行测试

package com.pl.bdeu.bigdataimport org.apache.commons.logging.LogFactoryimport org.apache.spark.{SparkConf, SparkContext}/**  * author  pengych@pl.com  * date  2016/7/24  * function  框架可用性测试  *  执行结果：            (hello,2)            (pl,1)            (fantasia,1)  */object FrameworkExeTest {  def main(args: Array[String]) {    val log = LogFactory.getLog("FrameworkExeTest")    val conf = new SparkConf().setMaster("local[*]").setAppName("fantasia framework test")    val sc = new SparkContext(conf)    if(log.isDebugEnabled){      log.debug(" SparkContext initialized")    }    val linesRDD= sc.textFile("E:\\wordcount.txt")    linesRDD.flatMap(line => line.split(" ") ).map( word => (word,1) ).reduceByKey(_+_).      collect.foreach(println)    sc.stop()  }}

总结

耐心很重要，因为网速很可能很慢
别在idea加载依赖包的时候手动干掉正在加载的进程，这样很可能导致各种找不到包的情况.
在maven的安装目录： ~\apache-maven-3.3.9\conf\settings.xml的标签里自定义repository路径
本文指定repository的路径为：E:\apache-maven-3.3.9\repository

<settings xmlns="http://maven.apache.org/SETTINGS/1.0.0"          xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xsi:schemaLocation="http://maven.apache.org/SETTINGS/1.0.0 http://maven.apache.org/xsd/settings-1.0.0.xsd"><localRepository>E:\apache-maven-3.3.9\repository</localRepository>

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