[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

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。

设置完了，选择下一步

设置完了，选择下一步

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：

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>4.0.0modelVersion>
  <groupId>com.pl.bdeu.bigdatagroupId>
  <artifactId>fantasiaartifactId>
  <version>1.0-SNAPSHOTversion>
  <inceptionYear>2008inceptionYear>
  <properties>
    <project.build.sourceEncoding>UTF-8project.build.sourceEncoding>
    <scala.version>2.10.6scala.version>
    <spark.version>1.6.2spark.version>
    <hadoop.version>2.6.0hadoop.version>
  properties>
  <repositories>
    <repository>
      <id>scala-tools.orgid>
      <name>Scala-Tools Maven2 Repositoryname>
      <url>http://scala-tools.org/repo-releasesurl>
    repository>
  repositories>

  <pluginRepositories>
    <pluginRepository>
      <id>scala-tools.orgid>
      <name>Scala-Tools Maven2 Repositoryname>
      <url>http://scala-tools.org/repo-releasesurl>
    pluginRepository>
  pluginRepositories>

  <dependencies>
    <dependency>
      <groupId>org.scala-langgroupId>
      <artifactId>scala-libraryartifactId>
      <version>${scala.version}version>
    dependency>
    <dependency>
      <groupId>junitgroupId>
      <artifactId>junitartifactId>
      <version>3.8.1version>
      <scope>testscope>
    dependency>
    <dependency>
      <groupId>org.specsgroupId>
      <artifactId>specsartifactId>
      <version>1.2.5version>
      <scope>testscope>
    dependency>
    <dependency>
      <groupId>org.apache.sparkgroupId>
      <artifactId>spark-core_2.10artifactId>
      <version>${spark.version}version>
    dependency>
    <dependency>
      <groupId>org.apache.sparkgroupId>
      <artifactId>spark-sql_2.10artifactId>
      <version>${spark.version}version>
    dependency>
    <dependency>
      <groupId>org.apache.sparkgroupId>
      <artifactId>spark-hive_2.10artifactId>
      <version>${spark.version}version>
    dependency>
    <dependency>
      <groupId>org.apache.sparkgroupId>
      <artifactId>spark-streaming_2.10artifactId>
      <version>${spark.version}version>
    dependency>
    <dependency>
      <groupId>org.apache.sparkgroupId>
      <artifactId>spark-mllib_2.10artifactId>
      <version>${spark.version}version>
    dependency>
    <dependency>
      <groupId>org.apache.hadoopgroupId>
      <artifactId>hadoop-clientartifactId>
      <version>${hadoop.version}version>
    dependency>
    <dependency>
      <groupId>org.apache.sparkgroupId>
      <artifactId>spark-streaming-kafka_2.10artifactId>
      <version>${spark.version}version>
    dependency>
    <dependency>
      <groupId>mysqlgroupId>
      <artifactId>mysql-connector-javaartifactId>
      <version>5.1.6version>
    dependency>
    <dependency>
      <groupId>org.jsongroupId>
      <artifactId>jsonartifactId>
      <version>20090211version>
    dependency>
    <dependency>
      <groupId>com.fasterxml.jackson.coregroupId>
      <artifactId>jackson-coreartifactId>
      <version>2.4.3version>
    dependency>
    <dependency>
      <groupId>com.fasterxml.jackson.coregroupId>
      <artifactId>jackson-databindartifactId>
      <version>2.4.3version>
    dependency>
    <dependency>
      <groupId>com.fasterxml.jackson.coregroupId>
      <artifactId>jackson-annotationsartifactId>
      <version>2.4.3version>
    dependency>
    <dependency>
      <groupId>com.alibabagroupId>
      <artifactId>fastjsonartifactId>
      <version>1.1.41version>
    dependency>
    <dependency>
      <groupId>fastutilgroupId>
      <artifactId>fastutilartifactId>
      <version>5.0.9version>
    dependency>
  dependencies>
  <build>
    <sourceDirectory>src/main/scalasourceDirectory>
    <testSourceDirectory>src/test/scalatestSourceDirectory>
    <plugins>
      <plugin>
        <groupId>org.scala-toolsgroupId>
        <artifactId>maven-scala-pluginartifactId>
        <executions>
          <execution>
            <goals>
              <goal>compilegoal>
              <goal>testCompilegoal>
            goals>
          execution>
        executions>
        <configuration>
          <scalaVersion>${scala.version}scalaVersion>
          <args>
            <arg>-target:jvm-1.5arg>
          args>
        configuration>
      plugin>
      <plugin>
        <groupId>org.apache.maven.pluginsgroupId>
        <artifactId>maven-eclipse-pluginartifactId>
        <configuration>
          <downloadSources>truedownloadSources>
          <buildcommands>
            <buildcommand>ch.epfl.lamp.sdt.core.scalabuilderbuildcommand>
          buildcommands>
          <additionalProjectnatures>
            <projectnature>ch.epfl.lamp.sdt.core.scalanatureprojectnature>
          additionalProjectnatures>
          <classpathContainers>
            <classpathContainer>org.eclipse.jdt.launching.JRE_CONTAINERclasspathContainer>
            <classpathContainer>ch.epfl.lamp.sdt.launching.SCALA_CONTAINERclasspathContainer>
          classpathContainers>
        configuration>
      plugin>
    plugins>
  build>
  <reporting>
    <plugins>
      <plugin>
        <groupId>org.scala-toolsgroupId>
        <artifactId>maven-scala-pluginartifactId>
        <configuration>
          <scalaVersion>${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。

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\repositorylocalRepository>