原博文出自于:  http://blog.csdn.net/pengych_321/article/details/52014249#comments        感谢!

 

 

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。

转】[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

 

 

 设置完了,选择下一步

转】[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

 

 

 设置完了,选择下一步

转】[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

 

 

 

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:

转】[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

 

 

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。

 

转】[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

 

 

 

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.bigdata

 

import org.apache.commons.logging.LogFactory
import 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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